Track C: Codex with GPT-6.1-Terra end to end

agent

+24:05

The third pass confirms the frown texture is compressed in its middle; simple darkening helps its ends more than its center. The build already exports a three-dimensional mouth curve, which gives me a way to test a continuous frown at both angles.

  • waitcell 75

    input

    {
      "cell_id": "75",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 15.5 seconds
    Output:
    {"chunk_id":"9ff645","wall_time_seconds":50.001761219,"session_id":21889,"original_token_count":103,"output":"arm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/lip_U/painted_arm_f_slender.png 17s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/lip_U/painted_arm_m_youth.png 13s\narm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/neutral/painted_arm_f_slender.png 12s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/neutral/painted_arm_m_youth.png 9s\n"}
  • write_stdinpoll session 21889

    input

    const r=await tools.write_stdin({session_id:21889,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 76
    Wall time 31.0 seconds
    Output:
    
  • waitcell 76

    input

    {
      "cell_id": "76",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 16.4 seconds
    Output:
    {"chunk_id":"1c582b","wall_time_seconds":50.002821216,"session_id":21889,"original_token_count":101,"output":"arm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/sad/painted_arm_f_slender.png 12s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/sad/painted_arm_m_youth.png 10s\narm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/shout/painted_arm_f_slender.png 12s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/shout/painted_arm_m_youth.png 12s\n"}

agent

+25:19

The rest of the third-round images are being collected. The localized texture change leaves neutral nearly unchanged, but the frown still needs a stronger continuous shape.

  • write_stdinpoll session 21889

    input

    const r=await tools.write_stdin({session_id:21889,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 77
    Wall time 31.0 seconds
    Output:
    
  • waitcell 77

    input

    {
      "cell_id": "77",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 16.0 seconds
    Output:
    {"chunk_id":"329bed","wall_time_seconds":50.000563895,"session_id":21889,"original_token_count":102,"output":"arm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/smile/painted_arm_f_slender.png 16s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/smile/painted_arm_m_youth.png 14s\narm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/smug/painted_arm_f_slender.png 17s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/smug/painted_arm_m_youth.png 14s\n"}
  • write_stdinpoll session 21889

    input

    const r=await tools.write_stdin({session_id:21889,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 78
    Wall time 31.0 seconds
    Output:
    
  • waitcell 78

    input

    {
      "cell_id": "78",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 8.0 seconds
    Output:
    {"chunk_id":"0eeb13","wall_time_seconds":42.292938454,"exit_code":0,"original_token_count":151,"output":"arm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/surprised/painted_arm_f_slender.png 17s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/surprised/painted_arm_m_youth.png 14s\narm_f_slender ~/Projects/lowmarch-bench/work/c/shot_r3/wink/painted_arm_f_slender.png 15s\narm_m_youth ~/Projects/lowmarch-bench/work/c/shot_r3/wink/painted_arm_m_youth.png 12s\nshot r3\n~/Projects/lowmarch-bench/work/c/sheet_r3_woman.png (1968, 1144)\n~/Projects/lowmarch-bench/work/c/sheet_r3_youth.png (1968, 1144)\n2026-10-30T13:11:23+08:00\n"}
  • view_image~/Projects/lowmarch-bench/work/c/sheet_r3_woman.png (+1 more)

    input

    const results=await Promise.all([
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/sheet_r3_woman.png",detail:"original"}),
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/sheet_r3_youth.png",detail:"original"})
    ]);for(const r of results)image(r.image_url);
    

    result, 4 lines

    Script completed
    Wall time 0.1 seconds
    Output:
    
    sheet_r3_woman.png
    sheet_r3_woman.png
    sheet_r3_youth.png
    sheet_r3_youth.png
  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && sed -n '180,205p' tools/export_glb.py && sed -n '260,274p' tools/export_glb.py && sed -n '900,920p' review/vroid-02/index.html && sed -n '925,960p' review/vroid-02/index.html

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && sed -n '180,205p' tools/export_glb.py && sed -n '260,274p' tools/export_glb.py && sed -n '900,920p' review/vroid-02/index.html && sed -n '925,960p' review/vroid-02/index.html

    result, 102 lines

    Script completed
    Wall time 0.2 seconds
    Output:
    CLOTH_HEM_ONLY = {"OUTFIT_skirt"}            # border band on the hem row only (its waist has a gold trim)
    
    
    def scene_info(portrait, palette):
        """Everything the browser's pixel renderer and cloth solver need besides the meshes: palette
        bands per role, the lights, body colliders, cloth grids and the mouth curve (model space,
        turned to face +z like the GLB)."""
        import vroid_portrait as vp
        from vrm import bone_weight
        hexp = lambda c: palette[c]
        bands = lambda tbl: [[thr if thr > -5 else -9, hexp(c)] for thr, c in tbl]
        roles = {"face": dict(mode="bands", bands=bands(vp.SKIN_BANDS)),
                 "body": dict(mode="bands", bands=bands(vp.SKIN_BANDS), cap=hexp("4")),
                 "shadow": dict(mode="flat", color=hexp("3")),
                 "hair": dict(mode="bands", bands=bands(vp.HAIR_BANDS)),
                 "cloth": dict(mode="bands", bands=bands(vp.CLOTH_BANDS)),
                 "line": dict(mode="flat", color=hexp("o")), "brow": dict(mode="flat", color=hexp("A")),
                 "mouth": dict(mode="flat", color=hexp("1")), "white": dict(mode="flat", color=hexp("w")),
                 "highlight": dict(mode="flat", color=hexp("w")),
                 "iris": dict(mode="iris", colors=[hexp("r"), hexp("s"), hexp("t")], cuts=[0.25, 0.5])}
        for r, tbl in vp.MATERIALS.items():
            roles[r] = dict(mode="bands", bands=bands(tbl), world=r in vp.WORLD_ROLES)
        names = portrait.v.nodes_by_name()
        W = portrait.v.node_world(portrait.pose_now)
        body = [p for p, r in zip(portrait.prims, portrait.roles) if r == "body"][0]
        caps = []
            if role not in paint and isinstance(val, str) and val.startswith("#"):
                paint[role] = dict(kind="cloth", base=val)
            elif role not in paint and isinstance(val, dict) and "base" in val:
                paint[role] = dict(kind=val.get("kind", "cloth"), base=val["base"])
        for role, g in (pc.get("grain") or {}).items():          # optional per-role brush grain (big flat cloth mottles)
            if role in paint:
                paint[role]["grain"] = g
        return dict(roles=roles, light=vp.LIGHT.tolist(), sun=vp.SUN.tolist(), capsules=caps, cloth=cloth, face_marks=marks,
                    paint=paint,
                    mouth_curve=curve, mouth_bone="J_Bip_C_Head", ink=dict(o=hexp("o"), skin=hexp("1"), hair=hexp("A")),
                    skin=[hexp(c) for c in "12345"], depth_gap=0.012)
    
    
    # ---- skinned export: one rigged character + animation clips --------------------------------------------------------
    F4 = np.diag([-1.0, 1.0, -1.0, 1.0])
    }
    
    async function loadCharacter(name) {
      if (chars.has(name)) return chars.get(name);
      const def = charDef(name), V = def.info, ci = CAM.characters.indexOf(def);
      const gltf = await parseGlb(`${name}.glb.json`);
      const turn = new THREE.Group(), holder = new THREE.Group();
      turn.add(holder); holder.add(gltf.scene);
      const meshes = [];
      gltf.scene.traverse(o => { if (o.isMesh) { prepMesh(o, V, { hairB: ci > 0 }); meshes.push(o); } });
      gltf.scene.updateMatrixWorld(true);
      const bone = n => gltf.scene.getObjectByName(n);
      const cloths = [], world = new THREE.Group();
      for (const [cname, info] of Object.entries(V.cloth || {})) {
        const skinned = meshes.find(m => m.userData.material === cname);
        if (!skinned) continue;
        const trims = meshes.filter(m => info.trims.includes(m.userData.material));
        const caps = V.capsules.filter(c => !info.collide || info.collide.some(k => c.bones[0].includes(k)));
        const cl = info.closed ? new SkirtRig(skinned, info.u, info.v, trims, caps, bone, info.edges === "hem")
                               : new Cloth(skinned, info.u, info.v, trims, caps, bone, false, info.edges === "hem");
        const band = info.band || "gold", BR = V.roles[band] || V.roles.gold;
        cl.lines3d.frustumCulled = false;
        world.add(cl.display, cl.lines3d);
        cloths.push(cl);
      }
      const mixer = new THREE.AnimationMixer(gltf.scene);
      const actions = Object.fromEntries(gltf.animations.map(c => [c.name, mixer.clipAction(c)]));
      const skeleton = meshes.find(m => m.isSkinnedMesh)?.skeleton;
      const c = { name, info: V, turn, holder, root: gltf.scene, meshes, cloths, world, mixer, actions, skeleton,
                  clip: "idle", t: 0, groups: [...new Set(meshes.map(m => m.userData.group))] };
      c.springs = makeSprings(c, V.springs);
      chars.set(name, c);
      return c;
    }
    
    async function loadGround() {
      if (ground) return ground;
      const V = CAM.characters[0].info, gltf = await parseGlb("plains.glb.json"), meshes = [];
      gltf.scene.traverse(o => { if (o.isMesh) { prepMesh(o, V); meshes.push(o); } });
      ground = { root: gltf.scene, meshes };
      return ground;
    }
    
    const allMeshes = () => [...active().flatMap(c => [...c.meshes, ...c.cloths.map(cl => cl.display)]),
                             ...(ground && ground.root.parent && state.view !== "bust" ? ground.meshes : [])];
    const isSimTrim = o => state.cloth && active().some(c => c.cloths.some(cl => cl.trims.includes(o) || cl.skinned === o));
    function applyMaterials() {
      allMeshes().forEach(o => {
        const mat = state.toon ? o.userData.mats.toon : o.userData.mats.clay;
        const x = state.xray && COSTUME.has(o.userData.group);
        mat.transparent = x; mat.opacity = x ? 0.28 : 1; mat.depthWrite = !x; mat.needsUpdate = true;
        o.userData.mat3d = mat;
        const isDisplay = o.userData.cloth;
        o.visible = !state.hidden.has(o.userData.group) && (isDisplay ? state.cloth : !isSimTrim(o));
      });
    }
    const trimsShown = c => state.cloth && !state.hidden.has("trim") && !state.hidden.has(c.skinned.userData.group);
    

agent

+27:13

The completed third sheets preserve the improved blink and wink, but the angry mouth remains too faint. I’m testing the exported mouth curve only for the closed frown, with the neutral and open-mouth variants left on their existing geometry.

  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && cat >> "$WORK/NOTES.md" <<'EOF'

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && cat >> "$WORK/NOTES.md" <<'EOF'
    
    ## Round 3 — 13:03:30–13:11:23 (7m 53s)
    
    Added localized contrast to dark lip texels in the shared face-atlas mouth window, faded the brow overlay at its distance limit, and tried hiding eye highlights in joy. Rendered all expressions. Neutral and open mouths remain sound at 0 and 30 degrees, while closed smiles gain some contrast. The angry frown is still almost absent in its center because the texture compresses there. Tiny pale flecks remain in the youth's closed eyelash texture despite the highlight-hide shape. The woman's close and wink have slightly ragged lash ends.
    EOF
    python3 - <<'PY'
    from pathlib import Path
    p=Path('tools/export_glb.py')
    s=p.read_text().replace('    return dict(roles=roles, light=vp.LIGHT.tolist(), sun=vp.SUN.tolist(), capsules=caps, cloth=cloth, face_marks=marks,', '''    # A fully closed angry mouth compresses its painted lip texture until the middle disappears.
        # Use the existing surface-following curve only for that closed frown, not for open mouths.
        rest = portrait.shape.get("rest", {})
        frown = max(rest.get("Fcl_MTH_Angry", 0), rest.get("Fcl_ALL_Angry", 0)) > 0.1
        openings = ("Fcl_MTH_A", "Fcl_MTH_I", "Fcl_MTH_U", "Fcl_MTH_E", "Fcl_MTH_O",
                    "Fcl_MTH_Joy", "Fcl_MTH_Sorrow", "Fcl_MTH_Surprised", "Fcl_ALL_Joy",
                    "Fcl_ALL_Sorrow", "Fcl_ALL_Surprised")
        mouth_ink = bool(curve is not None and frown and not any(rest.get(k, 0) > 0.05 for k in openings))
        return dict(roles=roles, light=vp.LIGHT.tolist(), sun=vp.SUN.tolist(), capsules=caps, cloth=cloth, face_marks=marks,''')
    s=s.replace('mouth_curve=curve, mouth_bone="J_Bip_C_Head", ink=', 'mouth_curve=curve, mouth_bone="J_Bip_C_Head", mouth_ink=mouth_ink, ink=')
    p.write_text(s)
    p=Path('review/vroid-02/index.html')
    s=p.read_text().replace('  const bone = n => gltf.scene.getObjectByName(n);\n  const cloths', '''  const bone = n => gltf.scene.getObjectByName(n);
      // The exported surface-following mouth curve repairs the texture's compressed closed frown.
      // Parent it to the head in bone-local coordinates so it turns with the character.
      const mouthBone = V.mouth_ink && bone(V.mouth_bone);
      if (mouthBone && V.mouth_curve && V.mouth_curve.length >= 4) {
        const points = V.mouth_curve.map(p => mouthBone.worldToLocal(gltf.scene.localToWorld(new THREE.Vector3(...p))));
        const curve = new THREE.CatmullRomCurve3(points);
        const line = new THREE.Mesh(new THREE.TubeGeometry(curve, 48, 0.00022, 5, false),
                                    new THREE.MeshStandardMaterial({ color: hex(V.roles.mouth.color) }));
        line.userData.role = "mouth"; line.userData.group = "body";
        mouthBone.add(line); prepMesh(line, V); meshes.push(line);
      }
      const cloths''')
    p.write_text(s)
    PY
    $KIT/build_expr.sh "$WORK/expr_list.txt" angry && date -Is

    result, 4 lines

    Script completed
    Wall time 1.2 seconds
    Output:
    {"chunk_id":"b8de1f","wall_time_seconds":1.002349958,"session_id":99335,"original_token_count":0,"output":""}
  • write_stdinpoll session 99335

    input

    const r=await tools.write_stdin({session_id:99335,chars:"",yield_time_ms:20000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script completed
    Wall time 14.8 seconds
    Output:
    {"chunk_id":"dbc8f9","wall_time_seconds":14.812644157,"exit_code":0,"original_token_count":10,"output":"built angry\n2026-10-30T13:12:08+08:00\n"}
  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && $KIT/shoot_expr.sh "$LOWMARCH_REPO/review/vroid-02/index.html" r4 && $KIT/sheets.sh r4 'Round 4: surface-following frown line' && date -Is

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && $KIT/shoot_expr.sh "$LOWMARCH_REPO/review/vroid-02/index.html" r4 && $KIT/sheets.sh r4 'Round 4: surface-following frown line' && date -Is

    result, 4 lines

    Script completed
    Wall time 1.2 seconds
    Output:
    {"chunk_id":"89f563","wall_time_seconds":1.002239376,"session_id":4409,"original_token_count":0,"output":""}
  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:40000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 84
    Wall time 31.0 seconds
    Output:
    
  • waitcell 84

    input

    {
      "cell_id": "84",
      "yield_time_ms": 12000
    }

    result, 4 lines

    Script completed
    Wall time 6.3 seconds
    Output:
    {"chunk_id":"c82534","wall_time_seconds":40.001519766,"session_id":4409,"original_token_count":0,"output":""}
  • view_image~/Projects/lowmarch-bench/work/c/shot_r4/angry/painted_arm_f_slender.png

    input

    const im=await tools.view_image({path:"~/Projects/lowmarch-bench/work/c/shot_r4/angry/painted_arm_f_slender.png",detail:"original"});image(im.image_url);
    

    result, 4 lines

    Script completed
    Wall time 0.4 seconds
    Output:
    
    shot_r4_angry_woman.png
    shot_r4_angry_woman.png

agent

+28:40

The first curve render exposes a depth issue: the ends appear, but the center is still hidden by the mouth surface. I’ll check the finished sheet, then adjust the curve’s placement and retest it at 30 degrees.

  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 86
    Wall time 31.0 seconds
    Output:
    
  • waitcell 86

    input

    {
      "cell_id": "86",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 15.9 seconds
    Output:
    {"chunk_id":"b443f5","wall_time_seconds":50.000752528,"session_id":4409,"original_token_count":0,"output":""}
  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 87
    Wall time 31.0 seconds
    Output:
    
  • waitcell 87

    input

    {
      "cell_id": "87",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 16.2 seconds
    Output:
    {"chunk_id":"7efc54","wall_time_seconds":50.004435777,"session_id":4409,"original_token_count":0,"output":""}

agent

+30:28

The frown test is being captured across both bodies along with the unchanged expressions. The visible gaps give a concrete placement problem to resolve in the next iteration.

  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 88
    Wall time 31.0 seconds
    Output:
    
  • waitcell 88

    input

    {
      "cell_id": "88",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 15.8 seconds
    Output:
    {"chunk_id":"0b3981","wall_time_seconds":50.00174542,"session_id":4409,"original_token_count":0,"output":""}
  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 89
    Wall time 31.0 seconds
    Output:
    

agent

+31:56

The headless capture is still running; the renderer is producing the comparison set without rebuilding the body cache, since only export and page code changed.

  • waitcell 89

    input

    {
      "cell_id": "89",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 14.8 seconds
    Output:
    {"chunk_id":"b6aa06","wall_time_seconds":50.001331293,"session_id":4409,"original_token_count":0,"output":""}
  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 90
    Wall time 31.0 seconds
    Output:
    
  • waitcell 90

    input

    {
      "cell_id": "90",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 15.6 seconds
    Output:
    {"chunk_id":"f8996c","wall_time_seconds":50.001090283,"session_id":4409,"original_token_count":0,"output":""}

agent

+33:08

The current pass has not reported capture failures. I’m waiting for the complete sheet before changing the frown geometry again.

  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 91
    Wall time 31.0 seconds
    Output:
    
  • waitcell 91

    input

    {
      "cell_id": "91",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 13.8 seconds
    Output:
    {"chunk_id":"87f96d","wall_time_seconds":50.001014025,"session_id":4409,"original_token_count":0,"output":""}
  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && find "$WORK/shot_r4" -name '*.png' | wc -l && date -Is

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && find "$WORK/shot_r4" -name '*.png' | wc -l && date -Is

    result, 6 lines

    Script completed
    Wall time 0.2 seconds
    Output:
    26
    2026-10-30T13:18:30+08:00
    
  • write_stdinpoll session 4409

    input

    const r=await tools.write_stdin({session_id:4409,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 93
    Wall time 31.0 seconds
    Output:
    
  • waitcell 93

    input

    {
      "cell_id": "93",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 0.0 seconds
    Output:
    {"chunk_id":"045ea1","wall_time_seconds":34.205683648,"exit_code":0,"original_token_count":48,"output":"shot r4\n~/Projects/lowmarch-bench/work/c/sheet_r4_woman.png (1968, 1144)\n~/Projects/lowmarch-bench/work/c/sheet_r4_youth.png (1968, 1144)\n2026-10-30T13:19:07+08:00\n"}
  • view_image~/Projects/lowmarch-bench/work/c/sheet_r4_woman.png (+2 more)

    input

    const results=await Promise.all([
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/sheet_r4_woman.png",detail:"original"}),
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/sheet_r4_youth.png",detail:"original"}),
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/shot_r4/angry/painted_arm_m_youth.png",detail:"original"})
    ]);for(const r of results)image(r.image_url);
    

    result, 4 lines

    Script completed
    Wall time 0.1 seconds
    Output:
    
    sheet_r4_woman.png
    sheet_r4_woman.png
    sheet_r4_youth.png
    sheet_r4_youth.png
    shot_r4_angry_youth.png
    shot_r4_angry_youth.png
  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && python3 - <<'PY'

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && python3 - <<'PY'
    import os,json,struct,base64,numpy as np
    from pathlib import Path
    for who in ['arm_f_slender','arm_m_youth']:
     p=Path(os.environ['WORK'])/'exb/angry'/f'{who}.glb.json';b=base64.b64decode(json.loads(p.read_text())['glb']);l,_=struct.unpack_from('<II',b,12);j=json.loads(b[20:20+l]);base=20+l+8
     c=next(x for x in json.loads((p.parent/'camera.json').read_text())['characters'] if x['name']==who);pt=np.array(c['info']['mouth_curve'][12]);print(who,'curve midpoint',pt)
     def read(i):
      a=j['accessors'][i];v=j['bufferViews'][a['bufferView']];o=base+v.get('byteOffset',0)+a.get('byteOffset',0);n={'VEC3':3,'SCALAR':1}[a['type']];dt={5126:'<f4',5125:'<u4',5123:'<u2'}[a['componentType']];return np.frombuffer(b,dtype=dt,count=a['count']*n,offset=o).reshape(-1,n)
     for m in j['meshes']:
      for pr in m['primitives']:
       name=j['materials'][pr['material']]['name']
       if name not in ('body:mouth','body:face'): continue
       P=read(pr['attributes']['POSITION']);T=P[read(pr['indices']).reshape(-1)];a=T[:,0,:2];u=T[:,1,:2]-a;v=T[:,2,:2]-a;q=pt[:2]-a;det=u[:,0]*v[:,1]-u[:,1]*v[:,0];valid=np.abs(det)>1e-10;A=np.zeros(len(det));B=A.copy();A[valid]=(q[valid,0]*v[valid,1]-q[valid,1]*v[valid,0])/det[valid];B[valid]=(u[valid,0]*q[valid,1]-u[valid,1]*q[valid,0])/det[valid];ok=valid&(A>=0)&(B>=0)&(A+B<=1);Z=T[:,0,2]+A*(T[:,1,2]-T[:,0,2])+B*(T[:,2,2]-T[:,0,2]);print(name,'overlap z',Z[ok], 'difference', Z[ok]-pt[2])
    PY

    result, 8 lines

    Script completed
    Wall time 1.4 seconds
    Output:
    arm_f_slender curve midpoint [1.06428812e-05 1.46260855e+00 1.25786395e-01]
    Traceback (most recent call last):
      File "<stdin>", line 12, in <module>
    IndexError: too many indices for array: array is 2-dimensional, but 3 were indexed
    
  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && python3 - <<'PY'

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && python3 - <<'PY'
    import os,json,struct,base64,numpy as np
    from pathlib import Path
    for who in ['arm_f_slender','arm_m_youth']:
     p=Path(os.environ['WORK'])/'exb/angry'/f'{who}.glb.json';b=base64.b64decode(json.loads(p.read_text())['glb']);l,_=struct.unpack_from('<II',b,12);j=json.loads(b[20:20+l]);base=20+l+8
     c=next(x for x in json.loads((p.parent/'camera.json').read_text())['characters'] if x['name']==who);pt=np.array(c['info']['mouth_curve'][12]);print(who,'curve',pt)
     def read(i):
      a=j['accessors'][i];v=j['bufferViews'][a['bufferView']];o=base+v.get('byteOffset',0)+a.get('byteOffset',0);n={'VEC3':3,'SCALAR':1}[a['type']];dt={5126:'<f4',5125:'<u4',5123:'<u2'}[a['componentType']];return np.frombuffer(b,dtype=dt,count=a['count']*n,offset=o).reshape(-1,n)
     for m in j['meshes']:
      for pr in m['primitives']:
       name=j['materials'][pr['material']]['name']
       if name not in ('body:mouth','body:face'): continue
       P=read(pr['attributes']['POSITION']);T=P[read(pr['indices']).reshape(-1,3)];a=T[:,0,:2];u=T[:,1,:2]-a;v=T[:,2,:2]-a;q=pt[:2]-a;det=u[:,0]*v[:,1]-u[:,1]*v[:,0];valid=np.abs(det)>1e-10;A=np.zeros(len(det));B=A.copy();A[valid]=(q[valid,0]*v[valid,1]-q[valid,1]*v[valid,0])/det[valid];B[valid]=(u[valid,0]*q[valid,1]-u[valid,1]*q[valid,0])/det[valid];ok=valid&(A>=0)&(B>=0)&(A+B<=1);Z=T[:,0,2]+A*(T[:,1,2]-T[:,0,2])+B*(T[:,2,2]-T[:,0,2]);print(name,'difference',np.round(Z[ok]-pt[2],5))
    PY

    result, 10 lines

    Script completed
    Wall time 0.9 seconds
    Output:
    arm_f_slender curve [1.06428812e-05 1.46260855e+00 1.25786395e-01]
    body:mouth difference [-0.00757 -0.00381 -0.02624 -0.00623 -0.00637 -0.01642]
    body:face difference [0.00115]
    arm_m_youth curve [3.67899908e-05 1.40885906e+00 1.46126439e-01]
    body:mouth difference [-0.00706 -0.00371 -0.02848 -0.00432 -0.00729 -0.01997]
    body:face difference [-0.0003]
    

agent

+35:09

The round-four sheet confirms the curve works on the youth but breaks in the center on the woman. The face surface sits about 1.2 mm in front of that curve there, so I’m moving the line slightly forward and checking both angles again.

  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && cat >> "$WORK/NOTES.md" <<'EOF'

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && cat >> "$WORK/NOTES.md" <<'EOF'
    
    ## Round 4 — 13:11:23–13:19:07 (7m 44s)
    
    Marked closed angry mouths at export and attached a thin curve traced from the character's own lip texture to the head bone. This tests a surface-following line rather than a camera-space mark; neutral and open mouths do not receive it. The youth's frown is now continuous and reads at 0 and 30 degrees, but on the woman only its ends are visible: the face surface occludes the middle. A geometry check found the face about 1.2 mm ahead of the curve at its center. Other expressions and neutral are unchanged from round 3.
    EOF
    python3 - <<'PY'
    from pathlib import Path
    p=Path('review/vroid-02/index.html')
    s=p.read_text().replace('const points = V.mouth_curve.map(p => mouthBone.worldToLocal(gltf.scene.localToWorld(new THREE.Vector3(...p))));', '''// The deformed lip surface can stand ahead of the traced face by a millimetre.
        const points = V.mouth_curve.map(p => mouthBone.worldToLocal(
          gltf.scene.localToWorld(new THREE.Vector3(p[0], p[1], p[2] + 0.0025))));''')
    p.write_text(s)
    PY
    $KIT/shoot_expr.sh "$LOWMARCH_REPO/review/vroid-02/index.html" r5 && $KIT/sheets.sh r5 'Round 5: forward frown line' && date -Is

    result, 4 lines

    Script completed
    Wall time 1.2 seconds
    Output:
    {"chunk_id":"81e775","wall_time_seconds":1.001055897,"session_id":21752,"original_token_count":0,"output":""}
  • write_stdinpoll session 21752

    input

    const r=await tools.write_stdin({session_id:21752,chars:"",yield_time_ms:40000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 98
    Wall time 31.0 seconds
    Output:
    
  • waitcell 98

    input

    {
      "cell_id": "98",
      "yield_time_ms": 12000
    }

    result, 4 lines

    Script completed
    Wall time 6.1 seconds
    Output:
    {"chunk_id":"6c7cb0","wall_time_seconds":40.001695798,"session_id":21752,"original_token_count":0,"output":""}
  • view_image~/Projects/lowmarch-bench/work/c/shot_r5/angry/painted_arm_f_slender.png (+1 more)

    input

    const results=await Promise.all([
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/shot_r5/angry/painted_arm_f_slender.png",detail:"original"}),
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/shot_r5/angry/painted_arm_m_youth.png",detail:"original"})
    ]);for(const r of results)image(r.image_url);
    

    result, 4 lines

    Script completed
    Wall time 0.4 seconds
    Output:
    
    shot_r5_angry_woman.png
    shot_r5_angry_woman.png
    shot_r5_angry_youth.png
    shot_r5_angry_youth.png

agent

+36:14

The forward adjustment makes the woman’s frown continuous at both 0 and 30 degrees, while the youth’s remains clean. I’m completing the fifth sheet and documenting the recipe and renderer behavior.

  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && cat >> docs/portrait-guide.md <<'EOF'

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && cat >> docs/portrait-guide.md <<'EOF'
    
    ## Armory expression recipes
    
    `art/expressions/armory.txt` records the fourteen named VRoid shape combinations used for the
    slender woman and youth expression study. Each row is `name|shape:weight;...`; `none` is the
    unmodified neutral face. The build-time `shape.rest` dictionary takes the same shape suffixes and
    weights. The wink deliberately extrapolates the one-sided close to 1.5: at 1.0 the youth's
    iris remains visible between the lids. Joy combines the joy and close shapes for the same reason.
    Check each character and a three-quarter view when changing these values; the shapes interact
    with each head's sculpt and eyelashes.
    
    In the painted armory, nearby bangs show a softened eyebrow overlay, so the expression survives
    hair that otherwise covers the brows. It uses the brow's actual alpha and depth, and is limited
    to hair within 4.5 cm, fading at the limit; helmets and other objects still occlude it. A closed
    angry mouth can compress its face texture until the frown disappears. For that specific closed
    shape the exporter enables the existing traced lip curve, which the viewer attaches to the head
    as a fine line; open mouths and neutral do not get that line. The face atlas's mouth window also
    gets a small contrast boost to help closed lip marks read.
    EOF
    python3 -m py_compile tools/export_glb.py && python3 - <<'PY'
    from pathlib import Path
    import re
    p=Path('review/vroid-02/index.html').read_text()
    scripts=re.findall(r'<script type="module">(.*?)</script>',p,re.S)
    assert len(scripts)==1
    Path('/tmp/lowmarch-track-c-armory.mjs').write_text(scripts[0])
    recipes=[x for x in Path('art/expressions/armory.txt').read_text().splitlines() if x and not x.startswith('#')]
    expected='neutral joy smile angry sad surprised shout wink smug lip_A lip_I lip_U lip_E lip_O'.split()
    assert [x.split('|')[0] for x in recipes]==expected
    allowed=set(Path('~/Projects/lowmarch-bench/brief/materials/vroid-shapes.txt').read_text().split())
    for row in recipes:
     name,shapes=row.split('|')
     if shapes!='none':
      for entry in shapes.split(';'):
       name2,weight=entry.split(':'); assert name2 in allowed; assert float(weight)>0
    print('All 14 recipes use known VRoid shape names in the required order.')
    PY
    node --check /tmp/lowmarch-track-c-armory.mjs && git diff --check && git status --short

    result, 9 lines

    Script completed
    Wall time 0.9 seconds
    Output:
    All 14 recipes use known VRoid shape names in the required order.
     M docs/portrait-guide.md
     M review/vroid-02/index.html
     M tools/export_glb.py
    ?? art/expressions/
    
  • write_stdinpoll session 21752

    input

    const r=await tools.write_stdin({session_id:21752,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 101
    Wall time 31.0 seconds
    Output:
    
  • waitcell 101

    input

    {
      "cell_id": "101",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 15.8 seconds
    Output:
    {"chunk_id":"18fa72","wall_time_seconds":50.001097554,"session_id":21752,"original_token_count":0,"output":""}
  • write_stdinpoll session 21752

    input

    const r=await tools.write_stdin({session_id:21752,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 102
    Wall time 31.0 seconds
    Output:
    

agent

+38:00

The implementation now has a checked-in recipe file and a guide explaining the blink weights, brow treatment and frown line. Syntax and recipe validation have passed; the final visual capture is still running.

  • waitcell 102

    input

    {
      "cell_id": "102",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 15.1 seconds
    Output:
    {"chunk_id":"57107f","wall_time_seconds":50.001778078,"session_id":21752,"original_token_count":0,"output":""}
  • write_stdinpoll session 21752

    input

    const r=await tools.write_stdin({session_id:21752,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 103
    Wall time 31.0 seconds
    Output:
    
  • waitcell 103

    input

    {
      "cell_id": "103",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 14.4 seconds
    Output:
    {"chunk_id":"e43afd","wall_time_seconds":50.001869889,"session_id":21752,"original_token_count":0,"output":""}

agent

+39:15

The final pass is rendering the complete set, including the unaffected vowel shapes and neutral, so the sheets will show the change in context.

  • write_stdinpoll session 21752

    input

    const r=await tools.write_stdin({session_id:21752,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 104
    Wall time 31.0 seconds
    Output:
    
  • waitcell 104

    input

    {
      "cell_id": "104",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 15.4 seconds
    Output:
    {"chunk_id":"214800","wall_time_seconds":50.000499569,"session_id":21752,"original_token_count":0,"output":""}
  • exec_commandsource ~/Projects/lowmarch-bench/kit/env-c.sh && find "$WORK/shot_r5" -name '*.png' | wc -l && date -Is

    command

    source ~/Projects/lowmarch-bench/kit/env-c.sh && find "$WORK/shot_r5" -name '*.png' | wc -l && date -Is

    result, 6 lines

    Script completed
    Wall time 0.2 seconds
    Output:
    20
    2026-10-30T13:24:38+08:00
    
  • write_stdinpoll session 21752

    input

    const r=await tools.write_stdin({session_id:21752,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script running with cell ID 106
    Wall time 31.0 seconds
    Output:
    
  • waitcell 106

    input

    {
      "cell_id": "106",
      "yield_time_ms": 20000
    }

    result, 4 lines

    Script completed
    Wall time 16.2 seconds
    Output:
    {"chunk_id":"2f7bab","wall_time_seconds":50.001410313,"session_id":21752,"original_token_count":0,"output":""}

agent

+41:07

The final captures are nearly complete. The frown has held at both requested angles in the close-ups; the sheet will confirm it also reads at comparison size.

  • write_stdinpoll session 21752

    input

    const r=await tools.write_stdin({session_id:21752,chars:"",yield_time_ms:50000,max_output_tokens:2000});text(JSON.stringify(r));
    

    result, 4 lines

    Script completed
    Wall time 14.2 seconds
    Output:
    {"chunk_id":"ed59cd","wall_time_seconds":14.176589991,"exit_code":0,"original_token_count":48,"output":"shot r5\n~/Projects/lowmarch-bench/work/c/sheet_r5_woman.png (1968, 1144)\n~/Projects/lowmarch-bench/work/c/sheet_r5_youth.png (1968, 1144)\n2026-10-30T13:25:50+08:00\n"}
  • view_image~/Projects/lowmarch-bench/work/c/sheet_r5_woman.png (+2 more)

    input

    const results=await Promise.all([
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/sheet_r5_woman.png",detail:"original"}),
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/sheet_r5_youth.png",detail:"original"}),
    tools.view_image({path:"~/Projects/lowmarch-bench/work/c/shot_r5/surprised/painted_arm_f_slender.png",detail:"original"})
    ]);for(const r of results)image(r.image_url);
    

    result, 4 lines

    Script completed
    Wall time 0.2 seconds
    Output:
    
    sheet_r5_woman.png
    sheet_r5_woman.png
    sheet_r5_youth.png
    sheet_r5_youth.png
    shot_r5_surprised_woman.png
    shot_r5_surprised_woman.png