Pith Number
pith:2L4IDHXM
pith:2023:2L4IDHXM4EGKBDZ4OBRZXTGAHA
not attested
not anchored
not stored
refs pending
Functional Connectivity: Continuous-Time Latent Factor Models for Neural Spike Trains
arxiv:2305.10373 v1 · 2023-05-17 · stat.ME · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2L4IDHXM4EGKBDZ4OBRZXTGAHA}
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 | 2026-07-05T06:11:13.690772Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d2f8819eece10ca08f3c70639bccc0381787928722cf54ebf018879c9ae80b12
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2L4IDHXM4EGKBDZ4OBRZXTGAHA \
| 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: d2f8819eece10ca08f3c70639bccc0381787928722cf54ebf018879c9ae80b12
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7793686935842fbb80e8f2c8ed3060ec4229ae2611c42bfa2ff58a59a628b534",
"cross_cats_sorted": [
"q-bio.NC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2023-05-17T16:58:14Z",
"title_canon_sha256": "dc1518e4cc49382c7488e87204f33f7c57eee9264333c0d702ea21d1594a2193"
},
"schema_version": "1.0",
"source": {
"id": "2305.10373",
"kind": "arxiv",
"version": 1
}
}