Pith Number
pith:EUVDBMDX
pith:2024:EUVDBMDXLS522SLRLCV3AGAUN5
not attested
not anchored
not stored
refs pending
Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model
arxiv:2410.15689 v1 · 2024-10-21 · cs.CV · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EUVDBMDXLS522SLRLCV3AGAUN5}
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 | 2026-07-05T09:23:23.078223Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
252a30b0775cbbad497158abb018146f5ed0596287990555775b1c35d74df977
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EUVDBMDXLS522SLRLCV3AGAUN5 \
| 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: 252a30b0775cbbad497158abb018146f5ed0596287990555775b1c35d74df977
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b5c11aeb8ee7d1a20bb0e6edf125674f08ee6a6d8bff9221f84dbdc43383555",
"cross_cats_sorted": [
"cs.LG",
"cs.NE"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-21T06:59:04Z",
"title_canon_sha256": "f41152d35c608650cbd1a94c9e8ed14bf6d68b4c15b7022ece80797ed54a3941"
},
"schema_version": "1.0",
"source": {
"id": "2410.15689",
"kind": "arxiv",
"version": 1
}
}