Pith Number
pith:PFNGNROU
pith:2024:PFNGNROUXPGBDFD3EG6RHZXYRV
not attested
not anchored
not stored
refs pending
Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
arxiv:2409.19315 v2 · 2024-09-28 · cs.NE · cs.AI · cs.AR · cs.ET
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PFNGNROUXPGBDFD3EG6RHZXYRV}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:39:58.861266Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
795a66c5d4bbcc11947b21bd13e6f88d7c07f596dd1e92dcb6ede22ed05a1769
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PFNGNROUXPGBDFD3EG6RHZXYRV \
| 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: 795a66c5d4bbcc11947b21bd13e6f88d7c07f596dd1e92dcb6ede22ed05a1769
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fa1a7911cbd4cb4a9f3aaa78a0905939a476e52aab18503ddd03c9b8296ecb15",
"cross_cats_sorted": [
"cs.AI",
"cs.AR",
"cs.ET"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2024-09-28T11:00:11Z",
"title_canon_sha256": "05b52dd58016808bc367d5336daf8582184197bf3f3907946a632b6b6b34448d"
},
"schema_version": "1.0",
"source": {
"id": "2409.19315",
"kind": "arxiv",
"version": 2
}
}