Pith Number
pith:SSMM6VRA
pith:2023:SSMM6VRAOMQW2IUFV72RKB5NEZ
not attested
not anchored
not stored
refs pending
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
arxiv:2306.14114 v2 · 2023-06-25 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SSMM6VRAOMQW2IUFV72RKB5NEZ}
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 | 2026-07-05T07:54:49.522805Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9498cf562073216d2285aff51507ad26575bec584d0dd18a4dc92b5e20c021ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SSMM6VRAOMQW2IUFV72RKB5NEZ \
| 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: 9498cf562073216d2285aff51507ad26575bec584d0dd18a4dc92b5e20c021ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cecb534ead7cf7969e5fdfc05d174e8edd6ee7f62942557fbfb374c520f75470",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-06-25T03:31:47Z",
"title_canon_sha256": "dd0086143841a2e660150c05e68df483924422cb6bcc5ea927dd4919a6bebe32"
},
"schema_version": "1.0",
"source": {
"id": "2306.14114",
"kind": "arxiv",
"version": 2
}
}