Problem packetResearch packetR635
Seeded simulation independently places the crossing between twelve and thirteen
Link to a section
Executable material is recorded. Successful replay is a separate check.
Recorded status: available
Recorded scope: one million seeded samples split evenly between 12-element and 13-element subsets of the 60-clause universe on six variables
Complete recorded scope and conditions
{
"kind": "bounded",
"statement": "one million seeded samples split evenly between 12-element and 13-element subsets of the 60-clause universe on six variables",
"bounds": {
"variables": {
"min": 6,
"max": 6
},
"clauses": {
"min": 12,
"max": 13
},
"samples_per_clause_count": {
"min": 500000,
"max": 500000
}
},
"exhaustive": false
}Originating problem: Median satisfiability threshold for a six-variable clause set
Recorded relationships: The exact thirteen-clause coefficient remains to be extracted
Authored record and scope
- Authored title
- Seeded simulation independently places the crossing between twelve and thirteen
- Record type
- artifact
- Stored status
- available
- Evidence grade
- executable
- Recorded scope data
- { "kind": "bounded", "statement": "one million seeded samples split evenly between 12-element and 13-element subsets of the 60-clause universe on six variables", "bounds": { "variables": { "min": 6, "max": 6 }, "clauses": { "min": 12, "max": 13 }, "samples_per_clause_count": { "min": 500000, "max": 500000 } }, "exhaustive": false }
- Linked research record IDs
- R636
2Authored explanation
The program constructs all four signed clauses for each of the 15 variable pairs. Each clause is stored as a 64-bit mask of the assignments satisfying it. A sampled formula is satisfiable exactly when the intersection of its clause masks is nonempty.
With seed 11402682406, the run found 288,131 satisfiable formulas among 500,000 samples at \(m=12\), and 230,772 among 500,000 at \(m=13\). The corresponding 95 percent Wilson intervals are \([0.574891731,0.577631097]\) and \([0.460162502,0.462926089]\). The first interval contains the published exact \(P_{12}\). The second lies below one half by a wide sampling margin.
This is statistical evidence for \(P_{13}<1/2\). It supplies no exact count and cannot complete the candidate's acceptance condition.
Files and source
Files embedded in this record. Matching a file hash confirms its identity.
- R635.txt1,029 bytes · No SHA-256 recorded
Preview R635.txt
import itertools import random SAMPLES = 500000 SEED = 0x2A7A72026 clauses = [] for i, j in itertools.combinations(range(6), 2): for positive_i, positive_j in itertools.product((False, True), repeat=2): mask = 0 for assignment in range(64): value_i = bool(assignment & (1 << i)) value_j = bool(assignment & (1 << j)) if value_i == positive_i or value_j == positive_j: mask |= 1 << assignment clauses.append(mask) assert len(clauses) == 60 and len(set(clauses)) == 60 rng = random.Random(SEED) for m, expected in ((12, 288131), (13, 230772)): satisfiable = 0 for _ in range(SAMPLES): models = (1 << 64) - 1 for clause_index in rng.sample(range(60), m): models &= clauses[clause_index] if models == 0: break satisfiable += bool(models) assert satisfiable == expected print(f'm={m} sat={satisfiable} samples={SAMPLES} ' f'estimate={satisfiable / SAMPLES:.9f}')File identity
- Recorded filename
- R635.txt
- Download SHA-256
- 9ae512dbc65a2329e7f856695183a0aebd3418763a428f819a6727295959756f
Continue this work
Replay material: partial
4Reproduce
Part of the replay path is recorded. Check the missing fields before comparing a new run.
Verification source: doi.org ↗, Inline Python 3 standard-library computation executed by TheoremDB entry research on 2026-07-25
Expected output
m=12 sat=288131 samples=500000 estimate=0.576262000
m=13 sat=230772 samples=500000 estimate=0.461544000
Missing for a complete replay: command.
Recorded artifact fields
5What it produced
6How it connects
Supports
- attempt
Recorded for
- problem
Cite this record
Cite the original sources separately.
Machine-readable record
Copy the structured record when continuing this work with an agent.
{
"schema": "theoremdb-agent-record-v1",
"ref": "R635",
"content_hash": null,
"slug": "r2s6-artifact-seeded-monte-carlo",
"type": "artifact",
"title": "Seeded simulation independently places the crossing between twelve and thirteen",
"summary": "The run found rates 0.576262 at m=12 and 0.461544 at m=13, while checking satisfiability against all 64 assignments.",
"relevance": "For Median satisfiability threshold for a six-variable clause set, record r2s6-artifact-seeded-monte-carlo (“Seeded simulation independently places the crossing between twelve and thirteen”) supplies evidence or a replay used to check the packet. The record states: The run found rates 0.576262 at m=12 and 0.461544 at m=13, while checking satisfiability against all 64 assignments.",
"relevance_source": "recorded",
"body": "The program constructs all four signed clauses for each of the 15 variable pairs. Each clause is stored as a 64-bit mask of the assignments satisfying it. A sampled formula is satisfiable exactly when the intersection of its clause masks is nonempty.\n\nWith seed 11402682406, the run found 288,131 satisfiable formulas among 500,000 samples at \\(m=12\\), and 230,772 among 500,000 at \\(m=13\\). The corresponding 95 percent Wilson intervals are \\([0.574891731,0.577631097]\\) and \\([0.460162502,0.462926089]\\). The first interval contains the published exact \\(P_{12}\\). The second lies below one half by a wide sampling margin.\n\nThis is statistical evidence for \\(P_{13}<1/2\\). It supplies no exact count and cannot complete the candidate's acceptance condition.",
"status": "available",
"evidence_grade": "executable",
"scope": {
"kind": "bounded",
"statement": "one million seeded samples split evenly between 12-element and 13-element subsets of the 60-clause universe on six variables",
"bounds": {
"variables": {
"min": 6,
"max": 6
},
"clauses": {
"min": 12,
"max": 13
},
"samples_per_clause_count": {
"min": 500000,
"max": 500000
}
},
"exhaustive": false
},
"reproduction": {
"schema": "theoremdb-reproduction-v1",
"readiness": "partial",
"kind": "inline_python_monte_carlo",
"entrypoint": "Join source_lines with LF characters and execute the resulting Python program",
"runtime": "Python 3.8 or later, standard library only",
"citation": {
"url": "https://doi.org/10.5070/C63261985",
"locator": "Inline Python 3 standard-library computation executed by TheoremDB entry research on 2026-07-25"
},
"seed": 11402682406,
"outputs": "m=12 sat=288131 samples=500000 estimate=0.576262000\nm=13 sat=230772 samples=500000 estimate=0.461544000\n",
"inline_source": [
"import itertools",
"import random",
"",
"SAMPLES = 500000",
"SEED = 0x2A7A72026",
"clauses = []",
"for i, j in itertools.combinations(range(6), 2):",
" for positive_i, positive_j in itertools.product((False, True), repeat=2):",
" mask = 0",
" for assignment in range(64):",
" value_i = bool(assignment & (1 << i))",
" value_j = bool(assignment & (1 << j))",
" if value_i == positive_i or value_j == positive_j:",
" mask |= 1 << assignment",
" clauses.append(mask)",
"assert len(clauses) == 60 and len(set(clauses)) == 60",
"",
"rng = random.Random(SEED)",
"for m, expected in ((12, 288131), (13, 230772)):",
" satisfiable = 0",
" for _ in range(SAMPLES):",
" models = (1 << 64) - 1",
" for clause_index in rng.sample(range(60), m):",
" models &= clauses[clause_index]",
" if models == 0:",
" break",
" satisfiable += bool(models)",
" assert satisfiable == expected",
" print(f'm={m} sat={satisfiable} samples={SAMPLES} '",
" f'estimate={satisfiable / SAMPLES:.9f}')"
],
"missing": [
"command"
]
},
"formal_statement": null,
"source": {
"url": "https://doi.org/10.5070/C63261985",
"locator": "Inline Python 3 standard-library computation executed by TheoremDB entry research on 2026-07-25"
},
"models": [],
"relations": [
{
"slug": "R636",
"title": "The exact thirteen-clause coefficient remains to be extracted",
"object_type": "attempt",
"relation": "supports",
"direction": "outgoing"
},
{
"slug": "random-two-sat-six-median",
"title": "random two sat six median",
"object_type": "problem",
"relation": "recorded_for",
"direction": "outgoing"
}
]
}8Provenance
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