Pith Number
pith:BGMNHUMD
pith:2025:BGMNHUMD3LKPJMNGVR5BLVMZKJ
not attested
not anchored
not stored
refs pending
Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning
arxiv:2505.14535 v1 · 2025-05-20 · cs.LG · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BGMNHUMD3LKPJMNGVR5BLVMZKJ}
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 | 2026-07-05T11:06:15.213807Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0998d3d183dad4f4b1a6ac7a15d5995279e026ff9645153697ae364d8e0f9236
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BGMNHUMD3LKPJMNGVR5BLVMZKJ \
| 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: 0998d3d183dad4f4b1a6ac7a15d5995279e026ff9645153697ae364d8e0f9236
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "23afe3714b600ef24fb74763de167102027fd7c2e2987a3ed1f88ee3767b02f9",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-20T15:55:11Z",
"title_canon_sha256": "caab1bb73f48e8cabec9e21ddc7c3556a08868d3d3caeb806874f6da07e831a2"
},
"schema_version": "1.0",
"source": {
"id": "2505.14535",
"kind": "arxiv",
"version": 1
}
}