Pith Number
pith:EDV37HRP
pith:2025:EDV37HRPV3WCKJJ5CM3BJYQKF3
not attested
not anchored
not stored
refs pending
Can Transformers Learn Full Bayesian Inference in Context?
arxiv:2501.16825 v2 · 2025-01-28 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EDV37HRPV3WCKJJ5CM3BJYQKF3}
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 | 2026-07-05T11:49:50.208185Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
20ebbf9e2faeec25253d133614e20a2ee8c6098947315656550fb14a5d5b44bc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EDV37HRPV3WCKJJ5CM3BJYQKF3 \
| 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: 20ebbf9e2faeec25253d133614e20a2ee8c6098947315656550fb14a5d5b44bc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "51d1314f1c3c8077f4f3f480c4b4d1a88c8f03ec1822d83d9be1d12fb82df08d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-28T10:04:53Z",
"title_canon_sha256": "0ec0f24d4e7982a1d1c03310ef548d2eb578c2f203565caa8074fcdb45b8c22f"
},
"schema_version": "1.0",
"source": {
"id": "2501.16825",
"kind": "arxiv",
"version": 2
}
}