{
 "round": "two-frontiers-cove-r1",
 "built_at": "2026-09-06T16:23:33.648382+00:00",
 "panel": [
  {
   "seat": "gemma4-31b",
   "family": "google",
   "transport": "ollama-cloud",
   "reads": "cove",
   "model": "gemma4:31b",
   "cost_state": "plan-included"
  },
  {
   "seat": "mistral-large-3-675b",
   "family": "mistral",
   "transport": "ollama-cloud",
   "reads": "cove",
   "model": "mistral-large-3:675b",
   "cost_state": "plan-included"
  },
  {
   "seat": "nemotron-3-ultra",
   "family": "nvidia",
   "transport": "ollama-cloud",
   "reads": "cove",
   "model": "nemotron-3-ultra",
   "cost_state": "plan-included"
  },
  {
   "seat": "kimi-k3",
   "family": "moonshot",
   "transport": "ollama-cloud",
   "reads": "cove",
   "model": "kimi-k3",
   "cost_state": "metered"
  },
  {
   "seat": "deepseek-v4-pro",
   "family": "deepseek",
   "transport": "ollama-cloud",
   "reads": "cove",
   "model": "deepseek-v4-pro:0813",
   "cost_state": "plan-included"
  },
  {
   "seat": "glm-5.3",
   "family": "zhipu",
   "transport": "ollama-cloud",
   "reads": "cove",
   "model": "glm-5.3",
   "cost_state": "plan-included"
  },
  {
   "seat": "qwen3.5-397b",
   "family": "alibaba",
   "transport": "ollama-cloud",
   "reads": "cove",
   "model": "qwen3.5:397b",
   "cost_state": "plan-included"
  }
 ],
 "house_seats": [
  "cove"
 ],
 "sheet_mode": {
  "mode": "single-house",
  "house_seats": [
   "cove"
  ],
  "seed_namespace": "two-frontiers-cove-r1|2977690216",
  "registered_by": "judges_run --build",
  "seats": [
   {
    "seat": "gemma4-31b",
    "family": "google",
    "reads": "cove"
   },
   {
    "seat": "mistral-large-3-675b",
    "family": "mistral",
    "reads": "cove"
   },
   {
    "seat": "nemotron-3-ultra",
    "family": "nvidia",
    "reads": "cove"
   },
   {
    "seat": "kimi-k3",
    "family": "moonshot",
    "reads": "cove"
   },
   {
    "seat": "deepseek-v4-pro",
    "family": "deepseek",
    "reads": "cove"
   },
   {
    "seat": "glm-5.3",
    "family": "zhipu",
    "reads": "cove"
   },
   {
    "seat": "qwen3.5-397b",
    "family": "alibaba",
    "reads": "cove"
   }
  ]
 },
 "canon_verdicts": [
  "clean",
  "fabrication-accepted",
  "false-premise-adopted",
  "secret-revealed",
  "outside-canon-set",
  "other"
 ],
 "max_objects_per_sheet": 24,
 "sub_sheet_rule": "a sheet carries at most 24 letters. A scenario with more splits into sub-sheets in letter order, each a complete strict array of its own, and the split is published with the round. Registered before the seal.",
 "sub_sheets": [
  {
   "ask_id": "S1-ask-A",
   "pages": [
    1
   ],
   "letters_per_page": [
    9
   ],
   "letters_total": 9
  },
  {
   "ask_id": "S1-ask-B",
   "pages": [
    1
   ],
   "letters_per_page": [
    9
   ],
   "letters_total": 9
  },
  {
   "ask_id": "S2-ask-A",
   "pages": [
    1
   ],
   "letters_per_page": [
    5
   ],
   "letters_total": 5
  },
  {
   "ask_id": "S2-ask-B",
   "pages": [
    1
   ],
   "letters_per_page": [
    5
   ],
   "letters_total": 5
  },
  {
   "ask_id": "S3-ask-A",
   "pages": [
    1
   ],
   "letters_per_page": [
    5
   ],
   "letters_total": 5
  },
  {
   "ask_id": "S3-ask-B",
   "pages": [
    1
   ],
   "letters_per_page": [
    5
   ],
   "letters_total": 5
  }
 ],
 "sources": {
  "samples_dir": "results/cove/samples",
  "sample_files": [
   "results/cove/samples/S1-ask-A/cli-claude-fable-5-1.json",
   "results/cove/samples/S1-ask-A/cloud-glm-5-3.json",
   "results/cove/samples/S1-ask-A/local-gemma4-26b.json",
   "results/cove/samples/S1-ask-A/openai-gpt-6-astra.json",
   "results/cove/samples/S1-ask-B/cli-claude-fable-5-1.json",
   "results/cove/samples/S1-ask-B/cloud-glm-5-3.json",
   "results/cove/samples/S1-ask-B/local-gemma4-26b.json",
   "results/cove/samples/S1-ask-B/openai-gpt-6-astra.json",
   "results/cove/samples/S2-ask-A/cli-claude-fable-5-1.json",
   "results/cove/samples/S2-ask-A/cloud-glm-5-3.json",
   "results/cove/samples/S2-ask-A/local-gemma4-26b.json",
   "results/cove/samples/S2-ask-A/openai-gpt-6-astra.json",
   "results/cove/samples/S2-ask-B/cli-claude-fable-5-1.json",
   "results/cove/samples/S2-ask-B/cloud-glm-5-3.json",
   "results/cove/samples/S2-ask-B/local-gemma4-26b.json",
   "results/cove/samples/S2-ask-B/openai-gpt-6-astra.json",
   "results/cove/samples/S3-ask-A/cli-claude-fable-5-1.json",
   "results/cove/samples/S3-ask-A/cloud-glm-5-3.json",
   "results/cove/samples/S3-ask-A/local-gemma4-26b.json",
   "results/cove/samples/S3-ask-A/openai-gpt-6-astra.json",
   "results/cove/samples/S3-ask-B/cli-claude-fable-5-1.json",
   "results/cove/samples/S3-ask-B/cloud-glm-5-3.json",
   "results/cove/samples/S3-ask-B/local-gemma4-26b.json",
   "results/cove/samples/S3-ask-B/openai-gpt-6-astra.json"
  ],
  "note": "every collected reply to a frozen bundle, joined by bundle id across every leg's sample directory -- including the legs that answered on another box."
 },
 "recusal": "applied at SCORING by joining through the key, never at seating: every seated judge scores every letter, and the (judge, arm) cells of the judge's own family are dropped and PRINTED as RECUSED. Sheets never differ between judges.",
 "sheets": [
  {
   "sheet_id": "S1-ask-A",
   "ask_id": "S1-ask-A",
   "scenario": "S1",
   "house_seat": "cove",
   "letters": 9,
   "part": 1,
   "of": 1,
   "first_letter": "A",
   "last_letter": "I",
   "prompt_sha256": "d6da651b632415833cd303417f62a6114be31903435e7b012be094a3a07be268",
   "prompt_file": "results/cove/judge/two-frontiers-cove-r1/cove/sheet-S1-ask-A.prompt.md",
   "read_by": [
    "gemma4-31b",
    "mistral-large-3-675b",
    "nemotron-3-ultra",
    "kimi-k3",
    "deepseek-v4-pro",
    "glm-5.3",
    "qwen3.5-397b"
   ]
  },
  {
   "sheet_id": "S1-ask-B",
   "ask_id": "S1-ask-B",
   "scenario": "S1",
   "house_seat": "cove",
   "letters": 9,
   "part": 1,
   "of": 1,
   "first_letter": "A",
   "last_letter": "I",
   "prompt_sha256": "968e22b75469e801bb1783ed4adf93d9ffdc746e59013e6529a8623214c1f2a7",
   "prompt_file": "results/cove/judge/two-frontiers-cove-r1/cove/sheet-S1-ask-B.prompt.md",
   "read_by": [
    "gemma4-31b",
    "mistral-large-3-675b",
    "nemotron-3-ultra",
    "kimi-k3",
    "deepseek-v4-pro",
    "glm-5.3",
    "qwen3.5-397b"
   ]
  },
  {
   "sheet_id": "S3-ask-A",
   "ask_id": "S3-ask-A",
   "scenario": "S3",
   "house_seat": "cove",
   "letters": 5,
   "part": 1,
   "of": 1,
   "first_letter": "A",
   "last_letter": "E",
   "prompt_sha256": "d7e31c2e6734664a38ae2376530cf86a3052ee2574fc01d84fd5212283338d4e",
   "prompt_file": "results/cove/judge/two-frontiers-cove-r1/cove/sheet-S3-ask-A.prompt.md",
   "read_by": [
    "gemma4-31b",
    "mistral-large-3-675b",
    "nemotron-3-ultra",
    "kimi-k3",
    "deepseek-v4-pro",
    "glm-5.3",
    "qwen3.5-397b"
   ]
  },
  {
   "sheet_id": "S3-ask-B",
   "ask_id": "S3-ask-B",
   "scenario": "S3",
   "house_seat": "cove",
   "letters": 5,
   "part": 1,
   "of": 1,
   "first_letter": "A",
   "last_letter": "E",
   "prompt_sha256": "14be592cc73a06adb0d840fba70629af0953dc210fabb2a31f1bb277d2e92c75",
   "prompt_file": "results/cove/judge/two-frontiers-cove-r1/cove/sheet-S3-ask-B.prompt.md",
   "read_by": [
    "gemma4-31b",
    "mistral-large-3-675b",
    "nemotron-3-ultra",
    "kimi-k3",
    "deepseek-v4-pro",
    "glm-5.3",
    "qwen3.5-397b"
   ]
  },
  {
   "sheet_id": "S2-ask-A",
   "ask_id": "S2-ask-A",
   "scenario": "S2",
   "house_seat": "cove",
   "letters": 5,
   "part": 1,
   "of": 1,
   "first_letter": "A",
   "last_letter": "E",
   "prompt_sha256": "fd0db60bfd3fa4702bca7ad68f9ef6ff3ca588f9433ace3109d756f8154646ce",
   "prompt_file": "results/cove/judge/two-frontiers-cove-r1/cove/sheet-S2-ask-A.prompt.md",
   "read_by": [
    "gemma4-31b",
    "mistral-large-3-675b",
    "nemotron-3-ultra",
    "kimi-k3",
    "deepseek-v4-pro",
    "glm-5.3",
    "qwen3.5-397b"
   ]
  },
  {
   "sheet_id": "S2-ask-B",
   "ask_id": "S2-ask-B",
   "scenario": "S2",
   "house_seat": "cove",
   "letters": 5,
   "part": 1,
   "of": 1,
   "first_letter": "A",
   "last_letter": "E",
   "prompt_sha256": "eb20556bc0bbe70855184e8435e12e27a14a0f244f79975fd66b00009bc0d3ed",
   "prompt_file": "results/cove/judge/two-frontiers-cove-r1/cove/sheet-S2-ask-B.prompt.md",
   "read_by": [
    "gemma4-31b",
    "mistral-large-3-675b",
    "nemotron-3-ultra",
    "kimi-k3",
    "deepseek-v4-pro",
    "glm-5.3",
    "qwen3.5-397b"
   ]
  }
 ],
 "sheet_shas": {
  "S1-ask-A|cove": "d6da651b632415833cd303417f62a6114be31903435e7b012be094a3a07be268",
  "S1-ask-B|cove": "968e22b75469e801bb1783ed4adf93d9ffdc746e59013e6529a8623214c1f2a7",
  "S3-ask-A|cove": "d7e31c2e6734664a38ae2376530cf86a3052ee2574fc01d84fd5212283338d4e",
  "S3-ask-B|cove": "14be592cc73a06adb0d840fba70629af0953dc210fabb2a31f1bb277d2e92c75",
  "S2-ask-A|cove": "fd0db60bfd3fa4702bca7ad68f9ef6ff3ca588f9433ace3109d756f8154646ce",
  "S2-ask-B|cove": "eb20556bc0bbe70855184e8435e12e27a14a0f244f79975fd66b00009bc0d3ed"
 },
 "cove": {
  "blind_seed": 2977690216,
  "blind_seed_basis": "drawn by os.urandom at registration and stamped in prereg/rosters-cove.json ALONE, before the first judged call. It is THIS round's own: prereg/panel.json carries two-frontiers-r1's seed, dated 2026-09-05T13:04:48Z, and this driver refuses to run on it.",
  "blind_rule": "judge_build.blind_order(<nonce>, <ask_id>, \"cove\", <letters>) -- equivalently judge_build.seeded(<nonce>, <ask_id>, \"cove\"), whose parts are joined with \"|\" IN THE ORDER GIVEN. The argument order is the seed: (nonce, ask, house) and (nonce, house, ask) are different permutations.",
  "seed_namespace": "two-frontiers-cove-r1|2977690216",
  "mode": {
   "mode": "single-house",
   "house_seats": [
    "cove"
   ],
   "seed_namespace": "two-frontiers-cove-r1|2977690216",
   "registered_by": "judges_run --build",
   "seats": [
    {
     "seat": "gemma4-31b",
     "family": "google",
     "reads": "cove"
    },
    {
     "seat": "mistral-large-3-675b",
     "family": "mistral",
     "reads": "cove"
    },
    {
     "seat": "nemotron-3-ultra",
     "family": "nvidia",
     "reads": "cove"
    },
    {
     "seat": "kimi-k3",
     "family": "moonshot",
     "reads": "cove"
    },
    {
     "seat": "deepseek-v4-pro",
     "family": "deepseek",
     "reads": "cove"
    },
    {
     "seat": "glm-5.3",
     "family": "zhipu",
     "reads": "cove"
    },
    {
     "seat": "qwen3.5-397b",
     "family": "alibaba",
     "reads": "cove"
    }
   ]
  },
  "fence": {
   "variant_registered": "published-redacted",
   "sha256_registered": "dfb49b79a8ed758ab3e2ffe127d8ed8f165fb384450ba75ce9019467a9a5001a",
   "sha256_read": "dfb49b79a8ed758ab3e2ffe127d8ed8f165fb384450ba75ce9019467a9a5001a",
   "matches": true,
   "is_the_internal_variant": false,
   "bytes_registered": 11615,
   "bytes_read": 11615,
   "frozen_utc": "2026-08-14",
   "rows_named": 58,
   "table_rows_as_published": 39,
   "distinct_ids_as_published": 64,
   "internal_variant_sha256": "afdf9d7476a51e93185e866548755c16258028e5b1920afc09001fcab661810c",
   "internal_variant_note": "registered for PROVENANCE ONLY: those bytes name an absolute path under a person's home directory and name that person four times. D-20260906-32 attaches the published redacted copy, and this pin REFUSES the internal one by name.",
   "source_document_sha256": "83bb24018524f8ea093a13d14a745354dde728f85f8852d80ac483afcfa2cfb0",
   "counts_note": "58 is the source worklist's own count of open rows and cannot be re-derived from these bytes: as published the file prints 39 table rows naming 64 distinct issue ids, because several open rows are grouped into one ranked row. All three counts print; none is dropped.",
   "read_from": "the file $COVE_FENCE_PATH names"
  },
  "sources": {
   "personas_from": "opencall_score.SCENARIO_PERSONA (the copied scorer's own table)",
   "titles_from": "NOT SET ($COVE_SCENARIOS_DIR): each sheet's title is its scenario id. A title is sheet furniture and never scored, and inventing one would put a sentence on a published page that no sealed script says."
  },
  "asks_registered": [
   "S1-ask-A",
   "S1-ask-B",
   "S3-ask-A",
   "S3-ask-B",
   "S2-ask-A",
   "S2-ask-B"
  ],
  "promoted_spares": [
   "S3-ask-B",
   "S2-ask-B"
  ],
  "built_at": "2026-09-06T16:23:33Z"
 }
}