Pith Number
pith:BNDFJHUI
pith:2023:BNDFJHUIYFS6ANOE3ZGDZGQFFP
not attested
not anchored
not stored
refs pending
Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs
arxiv:2312.05946 v1 · 2023-12-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BNDFJHUIYFS6ANOE3ZGDZGQFFP}
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 | 2026-07-05T07:22:35.441021Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b46549e88c165e035c4de4c3c9a052bfb1843449f594746e1bd9f876977b245
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BNDFJHUIYFS6ANOE3ZGDZGQFFP \
| 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: 0b46549e88c165e035c4de4c3c9a052bfb1843449f594746e1bd9f876977b245
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ac2faa81f349f89bc93bfe5b061341c9d4f8a3268fb474e9f0bfa2c826c4cc57",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-12-10T17:26:27Z",
"title_canon_sha256": "3612dfc3e0f7c5f529e41cea4bff711177b3fa0ced1189d56e87a182abebe115"
},
"schema_version": "1.0",
"source": {
"id": "2312.05946",
"kind": "arxiv",
"version": 1
}
}