Pith Number
pith:AGJZ3TWD
pith:2025:AGJZ3TWDX2QWFUT4NBCCNTXYFS
not attested
not anchored
not stored
refs pending
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing
arxiv:2501.16337 v1 · 2025-01-09 · cs.NE · cs.AI · cs.AR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AGJZ3TWDX2QWFUT4NBCCNTXYFS}
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 | 2026-07-05T10:06:11.537441Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01939dcec3bea162d27c684426cef82cb84b65f2f3a215a1db781f170916c4fd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AGJZ3TWDX2QWFUT4NBCCNTXYFS \
| 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: 01939dcec3bea162d27c684426cef82cb84b65f2f3a215a1db781f170916c4fd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "94c392b278e7a54f7aefcb54766121b489d6da5a18f55cd56ccef0db20e45fcd",
"cross_cats_sorted": [
"cs.AI",
"cs.AR",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2025-01-09T19:13:03Z",
"title_canon_sha256": "912690e4f1a844f61b0b039d7948bd3a8e9a167eeb42d2f3398a8b142397ea02"
},
"schema_version": "1.0",
"source": {
"id": "2501.16337",
"kind": "arxiv",
"version": 1
}
}