Pith Number
pith:2YHXF47A
pith:2022:2YHXF47AHUBJKTOV4UDT4RBMCL
not attested
not anchored
not stored
refs pending
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification
arxiv:2211.04297 v1 · 2022-09-22 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2YHXF47AHUBJKTOV4UDT4RBMCL}
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 | 2026-07-05T05:14:28.178176Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d60f72f3e03d02954dd5e5073e442c12e164127cfd16a7022dbed9160047b39f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2YHXF47AHUBJKTOV4UDT4RBMCL \
| 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: d60f72f3e03d02954dd5e5073e442c12e164127cfd16a7022dbed9160047b39f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3426bf85030486c1a5cd0d61a6a4263d91a6f538c6febc53a53b6a0674e44c1b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2022-09-22T16:34:01Z",
"title_canon_sha256": "884d929e8bd09dae72900489013ce7e08efdb617830ec2f20ae235864a34fa49"
},
"schema_version": "1.0",
"source": {
"id": "2211.04297",
"kind": "arxiv",
"version": 1
}
}