Pith Number
pith:IZXGVRXC
pith:2021:IZXGVRXCXZ5JBG4MUCY2RVRRRR
not attested
not anchored
not stored
refs pending
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations
arxiv:2101.09498 v1 · 2021-01-23 · cs.LG · cs.AI · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IZXGVRXCXZ5JBG4MUCY2RVRRRR}
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 | 2026-07-05T02:09:19.423710Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
466e6ac6e2be7a909b8ca0b1a8d6318c69c0bd3d4c1b4efaf32f6ad9bc71498b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IZXGVRXCXZ5JBG4MUCY2RVRRRR \
| 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: 466e6ac6e2be7a909b8ca0b1a8d6318c69c0bd3d4c1b4efaf32f6ad9bc71498b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a1b282ff7f558e54e3298becde0187c1dc3eff37d25def361ef4260f299ddb74",
"cross_cats_sorted": [
"cs.AI",
"cs.HC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-01-23T13:10:48Z",
"title_canon_sha256": "b225e59a6dbc37d33813f7e43e98d5e4bb66943d80264bcd8a028c04fc6d2e1d"
},
"schema_version": "1.0",
"source": {
"id": "2101.09498",
"kind": "arxiv",
"version": 1
}
}