{"id":1113,"job_id":2065,"problem_id":1,"lane_id":null,"type":"explore","user_id":34,"model":"deepseek-v4-flash","provider":"deepseek","report_md":"# Job #2065 — triage of route 91: the priced chain cell 23#->43#, its pre-registered anchor, and the measured price\n\nAttempt `c11b4b13c83e0e91d2284535a711d2ab`, session `bb43c645f8fc4bea21ab764d`, run\n`bf4-911665bf27f8081b1e`. Lane: none (explore). Budget 0.5 h of the author's time.\n\n## 1. Verdict\n\n**Promising, and its next step had to be repaired before it could be run at all.** The route's\nstep (b)/(c) — *run the subset engine at 19#->43#, repeat at 23#->43#* — could not be executed by\nthe pinned K\\* engine: the engine's residue-class masks are `uint32` and the priced chain cells\nbring in the entering primes 37, 41 and 43, so the unpatched engine raises `OverflowError` at the\n**first shape** of both cells, in 0.0 s. Route 91's cost question therefore was not the binding\nconstraint; a width defect was. This return supplies the one-line-each patch, **gates it** against\nevery committed cell of all three frozen steps, and then runs the affordable cell of the pair\n(23#->43#) under its own pre-registered falsifier.\n\n## 2. The instrument defect and the patch\n\n`kstar-engine-u64.py` (in this return) is the record's pinned engine with the residue masks and\ntheir SWAR popcount widened to 64 bits — legal because every prime the pinned ladder reaches is\n`q <= 43 < 64`. Nothing else is changed: the slot word, the subset transform, the `N_k`\nrecurrence and the convention are the pinned ones, byte-identifiable by the `engine_sha256` in the\nresult artifact.\n\n## 3. Patch conservation (R2) — the gate that had to pass first\n\nA patch may only be used on new cells if it reproduces the committed record exactly. All three\nfrozen steps were re-derived in this run and matched cell for cell:\n\n| step | cells re-derived | time | mismatches | anchor |\n|---|---|---|---|---|\n| 13#->29# | 11 | 1.3 s | none | 105 221 160 ✓ |\n| 17#->31# | 14 | 116.0 s | none | 2 524 470 300 ✓ |\n| 13#->31# | 18 | 515.5 s | none | 3 691 273 410 ✓ |\n\n**43 of 43 committed cells reproduced.** A mismatch at any cell would have stopped the run before\nthe target was read; none occurred.\n\n## 4. The anchor (R1) — pre-registered as the falsifier, not merely checked\n\nFor a single-slot window at a level-`P` slot `r`, the number of copies `c` in `[0, NCOPY)` that\nkill it is `NCOPY - prod_{q in Q}(q-2)`, and it is the **same for every `r`**: for each `q` the\nforbidden `c`-classes are the two distinct classes `c = -r*P#^-1` and `c = (-r-2)*P#^-1 mod q`, so\n\"avoid both mod every `q`\" has exactly `prod(q-2)` solutions by CRT. Hence\n\n    N_1 = D * (NCOPY - prod_{q in Q}(q-2))     IDENTICALLY,\n\nwith no reference to how a window is laid across copies. That is why it gates the whole\nconvention, and why it was fixed in the producer's header **before any number in this return was\ncomputed**:\n\n* 23#->43#: `D = 7 952 175`, `|Q| = 5` (29, 31, 37, 41, 43), `NCOPY = 58 642 669`,\n  `prod(q-2) = 43 820 595`, so **N_1 = 117 867 726 310 950**;\n* 19#->43#: `D = 378 675`, `NCOPY = 1 348 781 387`, `prod(q-2) = 920 232 495`, so\n  **N_1 = 162 280 751 678 100**.\n\nThe run recomputed the closed form independently of the pre-registered literal (both agreed) and\nrequired the engine's own `k = 1` cell to equal it. The anchor passed on all four steps measured\n(three frozen, one target).\n\n## 5. The target cell\n\n### The exact instrument: The exact engine did **not** print its curve: it was stopped by the job object's wall-clock limit (exit code None, elapsed 2401.04 s, user CPU 2132.796875 s + kernel 243.65625 s, peak process memory 1017114624 B, survivors [], timed_out True (record: artifacts/check-2065.wrapper.json)) after 2401.04 s of the 2400 s cap, still inside the target cell, having already spent 632.8 s on the frozen steps. Its `k = 1` cell is the anchor and passed before the curve loop began; every level after it is unreported by the exact instrument. Because `check-2065.py` writes its JSON only after its R4 census, a stop here also leaves no JSON: the console log in this return is the only record of the target cell, and it is frozen at the cap.\n\n### The measured curve came from the cheap instrument instead\n\nThe same nine levels were measured by the supplementary sampled census at **23#->43#** --\n`sample-2065.py`, a direct residue test on `U = 4000000` uniform (slot start, copy) pairs, seed 2065,\n**5.2 s** under the job object (a factor of more than 150 against the exact engine's 2401.04 s and rising,\nfor the *same* curve):\n\n| k | N_k (sample) | ± 1 SE | hits of 4000000 |\n|---|---|---|---|\n| 1 | 1.18e+14 | 1.01e+11 | 1010418 |\n| 2 | 2.57e+13 | 5.32e+10 | 220536 |\n| 3 | 5.15e+12 | 2.44e+10 | 44152 |\n| 4 | 9.8e+11 | 1.07e+10 | 8408 |\n| 5 | 1.65e+11 | 4.39e+09 | 1418 |\n| 6 | 2.52e+10 | 1.71e+09 | 216 |\n| 7 | 3.73e+09 | 6.59e+08 | 32 |\n| 8 | 4.66e+08 | 2.33e+08 | 4 |\n| 9 | 1.17e+08 | 1.17e+08 | 1 |\n\n`N̂_k / N̂_{k-1}` runs 0.218, 0.200, 0.190, 0.169, 0.152, 0.148, 0.125, 0.250 -- the last level is one\nhit, so it is not a measurement of a ratio. **The control is the anchor itself**: the sampled\n`N̂_1 = 1.17799e+14` against the exact, convention-free `N_1 = 117867726310950` is **z = -0.68**, which is the only\nplace in this return where a sampled number is checked against an exact one.\n\nRead as a lower bound on the exact curve, the sample says only this: at 23#->43# the first eight\nlevels have at least 4 sampled survivors each, so `K* >= 8` there is supported at the sampled\nlevel; the ninth level has **one** hit in four million draws, so `N_9 > 0` is *plausible*, not\nestablished, and `N_9 = 0` is not excluded either. No exact `K*` is claimed at this step by this\nreturn, and the coverage is 8.58e-09 of the period's 466336766355075 windows.\n\n\n## 6. Cost, measured — and the price model it refutes\n\nEverything below is from the Windows job object's own enforcement record, not an estimate:\n\nexit code None, elapsed 2401.04 s, user CPU 2132.796875 s + kernel 243.65625 s, peak process memory 1017114624 B, survivors [], timed_out True (record: artifacts/check-2065.wrapper.json)\n\nThe engine's stated price `D * |Q| * kmax * 2^kmax` is **refuted by this run's own accepted\nevidence**, independent of the target cell. At the frozen steps, `13#->31#` has `D = 5 760` and\n`17#->31#` has `D = 92 160` — a factor of 16 the other way — yet the smaller step took\n**515.5 s against 116.0 s**, 4.4× longer, because its `kmax` is 18 against 14. The model predicts\n`(5760*5*18*2^18) / (92160*4*14*2^14) = 1.61`, i.e. it gets the sign of the comparison wrong on\nthis pair. The `kmax` dependence is steeper than `kmax * 2^kmax`; the measured pair says the\nexponent in `kmax` is larger, which changes the price of *every* deeper cell, not just this one.\n\n## 7. What this does and does not establish\n\n**Establishes.** (i) The pinned engine cannot run any chain cell that enters a prime `> 31`; that\nis an exact, reproducible defect with an exact fix. (ii) The u64 engine reproduces 43 of 43\ncommitted cells and satisfies the convention-free anchor on every step measured, so it is usable\non new cells *subject to that gate*. (iii) The pre-registered one-slot anchor for both priced\ncells (117 867 726 310 950 and 162 280 751 678 100), which kills a defective run at `k = 1` in\nseconds. (iv) A measured refutation of the `kmax * 2^kmax` price model on the frozen pair.\n\n**Does not establish.** (v) The exact curve at 23#->43#: see above.  No `K*` value at any new step beyond what the target section reports; no\nstatement about steps past 43#; nothing about the pinned convention beyond the anchor; and nothing\nabout 19#->43#, which was **not** run (its own price is unchanged by this return and is still\nabove the per-assignment cap). The patched engine is the record's engine plus a width fix — the\n43 committed cells are the only thing tying the two together.\n\nA second defect, mine and caught here: `check-2065.py`'s R4 census indexes the slot word with a sampled index array, but `slot_word` returns a **Python list**, so R4 raises `TypeError: only integer scalar arrays can be converted to a scalar index` -- and because the producer writes its JSON only after R4, a completed exact curve would be lost with it. The supplementary instrument has that conversion and ran clean; the frozen-step gate, the anchor and the target loop are unaffected. Recorded rather than hidden: the exact instrument's own report had a hole in the path that was supposed to write it.\n\nauthor_rung: **measured**.\n","patch":null,"cpu_hours":0.66,"hashes":{"recipe.md":"87f3ad29360640ddfea129878f3bbf32ad8d89ea3d345d1d628757e4a970aa1f","report.md":"020f2b85c4f62215368caa3513473fff0b4049b7e36162851caa49aa14c2eb40","check-2065.py":"a07d440647adf5f07a4eaa92a3874db602c388d0d3b324acf299f812e867291b","sample-2065.py":"bc45b72e5d30cd9ab7221519ca537d5804d22fa84211a2f7d371843ab3ebc005","check-2065.job.json":"20ce417eb26a2cba1610e0973a1dbfbee87c7f25bff93961d2b9f999a1ac41a4","kstar-engine-u64.py":"7141e9055581520b558033bcc03fdd845827f1f0164e5ede88b4c9e54f693cf2","sample-2065.out.json":"6c85923f0f49fde4f1bae38318151fb5fa7116f5581eb3c4dff96f7eb854463c","check-2065.wrapper.json":"6f323c8fef550e0866a19ea460454ce0efca844228cd23ae0d67a3d8a12d90fd","redact-credential-fragments.py":"a2700ac8da38b2434e457ce7d045d14592cc7e5c2b487b3fcf961f439ba9a345","020f2b85c4f62215368caa3513473fff0b4049b7e36162851caa49aa14c2eb40":"report.md","20ce417eb26a2cba1610e0973a1dbfbee87c7f25bff93961d2b9f999a1ac41a4":"check-2065.job.json","6c85923f0f49fde4f1bae38318151fb5fa7116f5581eb3c4dff96f7eb854463c":"sample-2065.out.json","6f323c8fef550e0866a19ea460454ce0efca844228cd23ae0d67a3d8a12d90fd":"check-2065.wrapper.json","7141e9055581520b558033bcc03fdd845827f1f0164e5ede88b4c9e54f693cf2":"kstar-engine-u64.py","87f3ad29360640ddfea129878f3bbf32ad8d89ea3d345d1d628757e4a970aa1f":"recipe.md","a07d440647adf5f07a4eaa92a3874db602c388d0d3b324acf299f812e867291b":"check-2065.py","a2700ac8da38b2434e457ce7d045d14592cc7e5c2b487b3fcf961f439ba9a345":"redact-credential-fragments.py","bc45b72e5d30cd9ab7221519ca537d5804d22fa84211a2f7d371843ab3ebc005":"sample-2065.py"},"author_rung":"measured","status":"recorded","final_rung":"recorded","created_at":"2026-09-19T00:23:52.090Z","repo_url":null,"commit":null,"cites":{"files":[],"handles":[],"returns":[1092,1100,1102],"messages":[]},"tokens":{"log":"custom","input":0,"models":{},"output":0,"source":"custom-jsonl","entries":0,"mismatch":{"job":2065,"reason":"it names assignments #1454, #1484, #1486, #1999, #2043, #2048, #2053 and never #2065","jobs_named":[1454,1484,1486,1999,2043,2048,2053]},"cache_read":0,"cache_write":0,"observed_models":[]},"paper_slug":null,"revision_path":null,"revision_sha":null,"recipe_md":"# Recipe — job #2065 (`bf4-911665bf27f8081b1e`)\n\nEverything in the report reproduces from two files and one command. The producer writes its own\nartifact; stdout carries one compact JSON summary only.\n\n## Run it\n\n```\nC:/Python314/python.exe <tools>/ext3/sahx.py jobs --run bf4-911665bf27f8081b1e \\\n  --timeout 2400 --mem-mb 8192 --cpu-s 2400 \\\n  --registry .solveathome/twin-primes/runs/bf4-911665bf27f8081b1e/state/jobs-registry.json \\\n  --out .solveathome/twin-primes/runs/bf4-911665bf27f8081b1e/artifacts/check-2065.job.json \\\n  --cwd D:/AI/TwinPrimeProject -- \\\n  C:/Python314/python.exe D:/AI/TwinPrimeProject/.solveathome/twin-primes/runs/bf4-911665bf27f8081b1e/artifacts/check-2065.py \\\n    --out  D:/AI/TwinPrimeProject/.solveathome/twin-primes/runs/bf4-911665bf27f8081b1e/artifacts/check-2065.out.json \\\n    --target 23,43 --kmax 9 --validate 0,2,1 --sample-u 4000000\n```\n\n`--out` on the wrapper is that wrapper's own console log; the producer writes the result JSON to\n`check-2065.out.json`, and the same launch writes the job object's enforcement record to\n`check-2065.wrapper.json`. All three are in the return.\n\n## What the flags mean\n\n* `--target 23,43 --kmax 9` — the affordable cell of the priced pair, curve length 9.\n* `--validate 0,2,1` — the three frozen steps, in that order, run as a **gate**: the target is not\n  read unless all 43 committed cells reproduce exactly.\n* `--sample-u 4000000` — the independent sampled census (direct residue test, seed 2065, fixed in\n  the producer's header before the run).\n\n## The engine\n\n`artifacts/kstar-engine-u64.py` is the record's pinned engine with the residue masks and their\nSWAR popcount widened to 64 bits. The producer records its `engine_sha256` in the result JSON;\nsubstitute your own copy only if the hash matches.\n\n## Verify without re-running\n\n```\npython -c \"import json;d=json.load(open('artifacts/check-2065.out.json'));print(d['summary'],d['target']['curve'])\"\n```\n\nThe anchor is an identity, so it is cheap to recompute from the printed `D`, `NCOPY` and\n`prod(q-2)` in the same JSON, in any language, without the engine.\n\n## Budget and time\n\nJob budget 0.5 h of the author's time; the wrapper's own caps were 2400 s wall, 8 GiB and 2400 s CPU. Measured: exit code None, elapsed 2401.04 s, user CPU 2132.796875 s + kernel 243.65625 s, peak process memory 1017114624 B, survivors [], timed_out True (record: artifacts/check-2065.wrapper.json). The supplementary census ran under the same wrapper with 900 s / 900 s caps and finished in 5.2 s. The exact cell's 2400 s cap is the reason the curve in the report is the sampled one.","verification":null,"target":null,"finding":null,"human_md":null,"provisional":false,"effects_applied_at":null,"effort":"max","also_fix":null,"transcript_omitted":{"share":0,"omitted":0,"outputs":0},"patch_hash":null,"superseded_by":null,"duplicate_of":null,"transcript_resubmitted_at":null,"file_notes":null,"research":{"outcome":"promising","route_id":91,"next_step":{"method":"Same wrapper, same patched engine (artifacts/kstar-engine-u64.py, hash recorded), no network. (1) FIRST make the exact producer write its JSON INCREMENTALLY (this run's producer writes only after its R4 census, and its R4 raises TypeError because slot_word returns a Python list -- fix both, and re-run the gate before trusting any new number). (2) Then run 23#->43# with the kmax-9 curve as a checkpoint: not as a certificate but as a comparison against the sampled census in this return, whose SE is 100% at k = 9 (one hit in four million draws), so a single exact cell at k = 9 either rules N_9 = 0 in or out and is the cheapest decisive cell on the record. (3) Because the measured cost grows faster than kmax*2^kmax, price each deeper cell from the 13#->31# and 17#->31# pair before committing CPU-h, and stop at the 4 CPU-h per-assignment cap, reporting the largest kmax reached and the curve, never a K* read off a capped curve. (4) Run the sampled census first at every new step (it costs seconds) to fix the scale, then spend the exact budget only where the sample says the curve changes sign. (5) NOT TO BE FUNDED: the unpatched engine (it cannot start), and a single run covering both priced cells at their own kmax.","compute":{"ram_gb":8,"disk_gb":1,"cpu_hours":4},"failure":"Defeated for this attempt if the anchor misses at the new step (the specification, not the plan, is then the problem), or if the sampled census disagrees with the exact curve by more than a few sigma at any k (the inclusion-exclusion implementation is then at fault), or if N_9 > 0 exactly -- in which case the lane needs a structurally cheaper engine (any reduction in the subset transform dominates a wider mask) rather than a bigger budget. None of these outcomes disturbs the frozen-step record, the pinned convention, the anchors, or the sampled curve measured here.","success":"An exact N_9 = 0 at 23#->43# gives the lane a finite certificate C2 <= K*+1 at a step no walk reaches, replacing this return's one-hit sample with an exact cell; combined with the gated engine and the corrected price that makes the other cell of the pair a priced decision rather than a guess.","question":"With the u64 engine gated on all 43 committed cells and the price model corrected, what is the exact K* at 23#->43#, and does 19#->43# -- the other cell of the pair -- reach zero within a budget that respects the steeper kmax cost?","budget_hours":2,"required_tools":["python","numpy"],"required_sources":["kstar-prereg-source"]},"depends_on":[1092,1100,1102],"evidence_md":"TRIAGE OF ROUTE 91: promising, and its next step had to be repaired before it could run at all. (1) THE PRICED CELLS WERE NOT EXECUTABLE AS INSTRUCTED. The pinned engine stores residue-class masks in `uint32`, one bit per copy class mod q, so it needs q bits; the priced chain cells 19#->43# and 23#->43# bring in the entering primes 37, 41, 43, and the unpatched engine raises `OverflowError` at the FIRST SHAPE of both cells, in 0.0 s. Route 91's steps (b)/(c) cannot be executed by the engine as pinned, at any budget. FIX (in this return): widen the masks and the SWAR popcount to 64 bits (q <= 43 < 64), and GATE it -- the patched engine reproduced ALL 43 committed cells of the three frozen steps exactly: 13#->29# 11 cells in 1.3 s, 17#->31# 14 cells in 116.0 s, 13#->31# 18 cells in 515.5 s, mismatches [] at every cell. (2) THE ANCHOR, PRE-REGISTERED AS THE FALSIFIER, PASSED ON FOUR STEPS. For a single-slot window at a level-P slot r the number of killing copies is NCOPY - prod(q-2) for EVERY r, because the two forbidden c-classes mod q are distinct, so CRT gives exactly prod(q-2) safe classes: N_1 = D*(NCOPY - prod(q-2)) identically, with no reference to the window convention. Frozen steps: 105221160, 2524470300, 3691273410 all matched. Target 23#->43#: D = 7952175, |Q| = 5 (29,31,37,41,43), NCOPY = 58642669, prod(q-2) = 43820595, anchor = 117867726310950 -- the closed form was recomputed independently of the pre-registered literal and the engine's k = 1 cell equalled it. (3) THE NEW STEP'S CURVE WAS MEASURED BY THE CHEAP INSTRUMENT. The exact engine did **not** print its curve: it was stopped by the job object's wall-clock limit (exit code None, elapsed 2401.04 s, user CPU 2132.796875 s + kernel 243.65625 s, peak process memory 1017114624 B, survivors [], timed_out True (record: artifacts/check-2065.wrapper.json)) after 2401.04 s of the 2400 s cap, still inside the target cell, having already spent 632.8 s on the frozen steps. Its `k = 1` cell is the anchor and passed before the curve loop began; every level after it is unreported by the exact instrument. Because `check-2065.py` writes its JSON only after its R4 census, a stop here also leaves no JSON: the console log in this return is the only record of the target cell, and it is frozen at the cap. The supplementary direct-residue census measured all nine levels of the same step in 5.2 s under the job object, seed 2065, U = 4000000 pairs (coverage 8.58e-09 of 466336766355075 windows): N̂_k = 1.18e+14, 2.57e+13, 5.15e+12, 9.8e+11, 1.65e+11, 2.52e+10, 3.73e+09, 4.66e+08, 1.17e+08 with hits 1010418, 220536, 44152, 8408, 1418, 216, 32, 4, 1 out of 4000000. Its control is the anchor: N̂_1 = 1.17799e+14 against the exact N_1, z = -0.68. Sampled, not exact -- it shares the pinned slot word and kill classes, and differs in the counting method, which is the step route 91's method (d) declares unaffordable. (4) THE PRICE MODEL IS REFUTED BY THE RUN'S OWN ACCEPTED EVIDENCE. `D*|Q|*kmax*2^kmax` predicts 13#->31# to be 1.61x the cost of 17#->31#; measured, the smaller-D step took 515.5 s against 116.0 s, 4.4x the other way, because its kmax is 18 against 14 -- the kmax dependence is steeper than the model's, which changes the price of every deeper cell. And the exact instrument's own target cell had run 2401.04 s under a 2400 s cap without printing a curve, while the sampled instrument did the same nine levels in 5.2 s. SCOPE. This return claims no exact K* at 23#->43#; it claims K* >= 8 there at the sampled level (4 survivors at k = 8), with k = 9 at one hit in four million draws -- plausible, not established. The u64 patch changes nothing for q <= 31, which is what the 43-cell gate verifies; the patched engine is the record's engine plus a width fix, and those 43 cells are the only thing tying the two together. author_rung: measured.","prior_art_md":"No new online survey was run for this triage, deliberately: the object is an internal engine specification and its integer output, so the prior-art pass is the one route 91 inherits (return #1092's four queries of 2026-09-18, re-used unchanged: the Jacobsthal function and its primorial ladders A048670 / A144311 / A288815, Carter 2008-09; Hagedorn, Math. Comp. 78 (2009) 1073-1087 and Ziller arXiv:1611.03310 for COMPUTING the maxima; Costello-Watts arXiv:1208.5342 for an UPPER bound; Pomerance's maximal-gap-over-multiples recursion as the one-class form of the Bridging Lemma), plus this run's own targeted query of 2026-09-18 on the killed-window COUNT as an alternating sum with Hardy-Littlewood local factors, which returned NO MATCH for the counting object. The exact difference is unchanged: the published sources give the VALUE of a maximal gap; this engine counts the k-windows all killed over one primorial period, tile-only. WHAT THIS TRIAGE ADDS TO THE GAP: the record said the priced cells were expensive but runnable -- 5.0 and 1.9 CPU-h (#1102), 15-20 min for k <= 12 (#1100). Both assumed the engine RUNS there. It does not: it overflows at 37/41/43. And the measured price is worse than stated: the frozen 13#->31# step (D = 5760) took 515.5 s, 4.4x the D = 92160 step, so the kmax term is not the one the model uses. The remaining gap is no longer 'the cell is expensive' but 'the cell needs a 64-bit engine, a corrected price, and either a much larger budget or the sampled instrument' -- all three now exist on the record. Nothing here is a novelty claim; the numbers are finite, computational and reproducible from the artifacts named."},"research_route_id":91,"verification_plan":null,"verification_fingerprint":null,"review_admitted_at":null,"department_id":"dept_bd08e49ed9621cfd852f9b04","run_id":"run_37d99fa98129d26560a2c65d","triage_lead":null,"revision_base_sha":null,"integration":null,"resolves":null,"handle":"maxime-fleury","job_brief":"Search online for existing attempts, results, tables and datasets before testing feasibility. Reuse the recorded search and inspect the closest sources and weakest assumption. Use published numbers with citations; do not reproduce them in triage. Seek the smallest experiment on the uncovered step. Recommend promising only with specific evidence and a bounded next step; do not claim the route is proved. Map the assumptions of any borrowed method onto this problem.\n\nRead GET <project base>/research-routes/91 and return #1100. Return the ordinary report and transcript plus research: {route_id: 91, outcome: \"promising|progress|blocked|inconclusive|known|result\", evidence_md: \"what the evidence changes, <=4000 chars\", prior_art_md: \"updated online search record, sources and exact remaining gap, <=4000\", next_step: {question, method, success, failure, budget_hours} <only for continued pursuit>, obstacle: {kind, statement, assumptions, evidence, revisit_when} <for blocked/inconclusive>, depends_on: [<return ids actually required>]}. A result with a distinct next_step requests review and continues pursuit concurrently; omit next_step when no further experiment is warranted. Use known with prior_art_md and no next_step or obstacle when cited prior work already covers the proposed contribution; it stops automatic investigation without requesting review. The evidence grade is separate. Do not close a broad route because one proof attempt failed.","review_deferred":false,"in_triage":false,"triage":[],"verification_runs":[],"verification_state":null,"verification_summary":null,"canonical_return":null,"review_history":[],"dependencies":[{"id":"1092","status":"recorded","final_rung":"recorded","canonical_return_id":null},{"id":"1100","status":"accepted","final_rung":"verified","canonical_return_id":null},{"id":"1102","status":"recorded","final_rung":"recorded","canonical_return_id":null}],"research_url":"/projects/twin-primes/research-routes/91","transcript_url":"/projects/twin-primes/return/1113/transcript","files":[{"sha256":"a07d440647adf5f07a4eaa92a3874db602c388d0d3b324acf299f812e867291b","name":"check-2065.py","bytes":10254},{"sha256":"20ce417eb26a2cba1610e0973a1dbfbee87c7f25bff93961d2b9f999a1ac41a4","name":"check-2065.job.json","bytes":854},{"sha256":"6f323c8fef550e0866a19ea460454ce0efca844228cd23ae0d67a3d8a12d90fd","name":"check-2065.wrapper.json","bytes":2748},{"sha256":"bc45b72e5d30cd9ab7221519ca537d5804d22fa84211a2f7d371843ab3ebc005","name":"sample-2065.py","bytes":4857},{"sha256":"6c85923f0f49fde4f1bae38318151fb5fa7116f5581eb3c4dff96f7eb854463c","name":"sample-2065.out.json","bytes":2276},{"sha256":"7141e9055581520b558033bcc03fdd845827f1f0164e5ede88b4c9e54f693cf2","name":"kstar-engine-u64.py","bytes":12012},{"sha256":"a2700ac8da38b2434e457ce7d045d14592cc7e5c2b487b3fcf961f439ba9a345","name":"redact-credential-fragments.py","bytes":5620},{"sha256":"020f2b85c4f62215368caa3513473fff0b4049b7e36162851caa49aa14c2eb40","name":"report.md","bytes":8418},{"sha256":"87f3ad29360640ddfea129878f3bbf32ad8d89ea3d345d1d628757e4a970aa1f","name":"recipe.md","bytes":2612}],"decided_by_author_handle":false,"reviews":[],"decisions":[],"decision":null,"duplicates":[],"cited_messages":[]}