Pith Number
pith:LHIFZPQB
pith:2025:LHIFZPQB6CSQZPW3FJPZLIJ7CF
not attested
not anchored
not stored
refs pending
In-context denoising with one-layer transformers: connections between attention and associative memory retrieval
arxiv:2502.05164 v2 · 2025-02-07 · cs.LG · cond-mat.dis-nn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LHIFZPQB6CSQZPW3FJPZLIJ7CF}
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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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 | 2026-07-05T11:16:54.779007Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59d05cbe01f0a50cbedb2a5f95a13f1177920c83ad5fa1390c4a9cadbc36d169
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LHIFZPQB6CSQZPW3FJPZLIJ7CF \
| 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: 59d05cbe01f0a50cbedb2a5f95a13f1177920c83ad5fa1390c4a9cadbc36d169
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e22ecffce09592dbd5b79769ec2e38890f6d7685657860ed564c7e31fefe1457",
"cross_cats_sorted": [
"cond-mat.dis-nn"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-07T18:48:25Z",
"title_canon_sha256": "aeed6b594b0f8801efe161dbbc45c9202c5183d9079f8de104a1ba9f9d3407e2"
},
"schema_version": "1.0",
"source": {
"id": "2502.05164",
"kind": "arxiv",
"version": 2
}
}