Pith Number
pith:H5GB45LM
pith:2024:H5GB45LMXH6JEPF7KHFNTS2LF4
not attested
not anchored
not stored
refs pending
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
arxiv:2402.01533 v2 · 2024-02-02 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H5GB45LMXH6JEPF7KHFNTS2LF4}
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 | 2026-07-05T08:24:40.582484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3f4c1e756cb9fc923cbf51cad9cb4b2f0b1fc5f965b88d8145ce4fd7564ef458
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H5GB45LMXH6JEPF7KHFNTS2LF4 \
| 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: 3f4c1e756cb9fc923cbf51cad9cb4b2f0b1fc5f965b88d8145ce4fd7564ef458
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8c33031dd5e2ff3d1042844a54f85115abb3da49900c9cdde6b478db97891d07",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2024-02-02T16:23:50Z",
"title_canon_sha256": "b303e713bafc37e19b62d1ec90cba1818214a62142590e7ac52407b5a00a952a"
},
"schema_version": "1.0",
"source": {
"id": "2402.01533",
"kind": "arxiv",
"version": 2
}
}