Pith Number
pith:3G2IHQXD
pith:2021:3G2IHQXDLOFU7EUSDAFXYSHY4E
not attested
not anchored
not stored
refs pending
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
arxiv:2104.15083 v2 · 2021-04-30 · cs.LG · cs.AI · cs.FL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3G2IHQXDLOFU7EUSDAFXYSHY4E}
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
Author claim
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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 | 2026-07-05T02:52:16.188787Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d9b483c2e35b8b4f9292180b7c48f8e113f6c81330ad32c67534b857941691a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3G2IHQXDLOFU7EUSDAFXYSHY4E \
| 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: d9b483c2e35b8b4f9292180b7c48f8e113f6c81330ad32c67534b857941691a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe6cf6eb009216551ccbc265cbeaf83f8933ed1b19bd7d6b5152ff41f6d89fc5",
"cross_cats_sorted": [
"cs.AI",
"cs.FL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-04-30T16:06:03Z",
"title_canon_sha256": "9ec6d10770e15fde473737e8eb04e0caef7768bb428ecf71414028a81de1daeb"
},
"schema_version": "1.0",
"source": {
"id": "2104.15083",
"kind": "arxiv",
"version": 2
}
}