Pith Number
pith:BWLDXR4Q
pith:2025:BWLDXR4Q4O2PLWETDH3PRHTFRC
not attested
not anchored
not stored
refs pending
DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks
arxiv:2502.10422 v1 · 2025-02-05 · cs.NE · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BWLDXR4Q4O2PLWETDH3PRHTFRC}
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 | 2026-07-05T10:14:52.273384Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d963bc790e3b4f5d89319f6f89e6588871c9d6684675c61402f16ae088bc6a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWLDXR4Q4O2PLWETDH3PRHTFRC \
| 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: 0d963bc790e3b4f5d89319f6f89e6588871c9d6684675c61402f16ae088bc6a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "75359b005d1a8d7dfaa75426875080da985bf88918116370a57cb95a4e164d8d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2025-02-05T09:02:07Z",
"title_canon_sha256": "a98088f3e9697257cdd2aeb2f6fbf341123bffd7b03aa2940949e0f98e83996c"
},
"schema_version": "1.0",
"source": {
"id": "2502.10422",
"kind": "arxiv",
"version": 1
}
}