Pith Number
pith:K24MLFHK
pith:2025:K24MLFHKUHHSS642KBB2U6QPCR
not attested
not anchored
not stored
refs pending
BARNN: A Bayesian Autoregressive and Recurrent Neural Network
arxiv:2501.18665 v2 · 2025-01-30 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K24MLFHKUHHSS642KBB2U6QPCR}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:39:47.766849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
56b8c594eaa1cf297b9a5043aa7a0f147cf0fb300e6b3aff7c3a67379e5c9817
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K24MLFHKUHHSS642KBB2U6QPCR \
| 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: 56b8c594eaa1cf297b9a5043aa7a0f147cf0fb300e6b3aff7c3a67379e5c9817
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7d51a853c58893bd1fc360fc9e081728476c9b94ef5bd5eb082f55e5d2627e6",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-30T15:44:04Z",
"title_canon_sha256": "fec87e5d2bf346d5bf4025662135e674abb3312c6dcc52deac5a1e4fc4489c50"
},
"schema_version": "1.0",
"source": {
"id": "2501.18665",
"kind": "arxiv",
"version": 2
}
}