Pith Number
pith:5RWJKKVY
pith:2021:5RWJKKVYMVCJJIH5G4H575EVF7
not attested
not anchored
not stored
refs pending
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
arxiv:2105.04404 v1 · 2021-05-07 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5RWJKKVYMVCJJIH5G4H575EVF7}
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 | 2026-07-05T02:38:56.881157Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec6c952ab8654494a0fd370fdff4952fe720d40db49a558bd13fdd63440ee180
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5RWJKKVYMVCJJIH5G4H575EVF7 \
| 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: ec6c952ab8654494a0fd370fdff4952fe720d40db49a558bd13fdd63440ee180
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "78f234d8cfd1a70bb0b2f8275c7c6c037b1b81eb8e86cd88525be9a539668a7d",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2021-05-07T14:16:03Z",
"title_canon_sha256": "b370efbe5adf5aadf85c222fe71c1b2c81e555735fe1aa7a4bcb36e9651b3eca"
},
"schema_version": "1.0",
"source": {
"id": "2105.04404",
"kind": "arxiv",
"version": 1
}
}