Pith Number
pith:BX5W3QOK
pith:2025:BX5W3QOKAZKAZKWYVYMJKYI4YV
not attested
not anchored
not stored
refs pending
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
arxiv:2507.14387 v1 · 2025-07-18 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BX5W3QOKAZKAZKWYVYMJKYI4YV}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:40:05.277946Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0dfb6dc1ca06540caad8ae1895611cc56a9b55e89406dad858d511b58bbf59f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BX5W3QOKAZKAZKWYVYMJKYI4YV \
| 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: 0dfb6dc1ca06540caad8ae1895611cc56a9b55e89406dad858d511b58bbf59f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3fea50795941aafc8620355048453beaa0205dbd6fb09369e9caa68a02d7a7cf",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-18T22:27:13Z",
"title_canon_sha256": "9cf9c54a9aeceb05280ee1f37566895248c5c1bca76bcb2c5ff677b04632978a"
},
"schema_version": "1.0",
"source": {
"id": "2507.14387",
"kind": "arxiv",
"version": 1
}
}