Pith Number
pith:7HJRWUWD
pith:2025:7HJRWUWDLTUI4FP6FRXCUSMUK4
not attested
not anchored
not stored
refs pending
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
arxiv:2504.12970 v2 · 2025-04-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7HJRWUWDLTUI4FP6FRXCUSMUK4}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T11:48:02.607243Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9d31b52c35ce88e15fe2c6e2a4994570ab28c14047afde666ea3d11cf1eec6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HJRWUWDLTUI4FP6FRXCUSMUK4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f9d31b52c35ce88e15fe2c6e2a4994570ab28c14047afde666ea3d11cf1eec6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc2c50ca4a57e34890eaea2c34d4a2b4f0bf08af013673850864fe93cb07148c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-17T14:22:27Z",
"title_canon_sha256": "f54584476033b918bfef03d8a091e9bcafb0d77827e090a001b50e5e7ae11fee"
},
"schema_version": "1.0",
"source": {
"id": "2504.12970",
"kind": "arxiv",
"version": 2
}
}