Pith Number
pith:G3L6BHDV
pith:2025:G3L6BHDV47ZBKZUP64CFGX35DU
not attested
not anchored
not stored
refs pending
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks
arxiv:2504.01246 v1 · 2025-04-01 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G3L6BHDV47ZBKZUP64CFGX35DU}
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 | 2026-07-05T10:43:11.579573Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36d7e09c75e7f215668ff704535f7d1d03d697119dfa0c31a28e066c77e9aeb4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G3L6BHDV47ZBKZUP64CFGX35DU \
| 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: 36d7e09c75e7f215668ff704535f7d1d03d697119dfa0c31a28e066c77e9aeb4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7dd2cf804490e7d2e88fb8805e430f957dd10deef83b159a9894fd9f6e755189",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-01T23:23:10Z",
"title_canon_sha256": "be901a432b182bb2385550ede36e6c38a91737f0b586f88ec50138bc29df99ef"
},
"schema_version": "1.0",
"source": {
"id": "2504.01246",
"kind": "arxiv",
"version": 1
}
}