Pith Number
pith:IEZMXQBU
pith:2025:IEZMXQBUQ5XU2XGDC6YWBR6BWS
not attested
not anchored
not stored
refs pending
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
arxiv:2504.19027 v2 · 2025-04-26 · cs.AI · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IEZMXQBUQ5XU2XGDC6YWBR6BWS}
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 | 2026-07-05T11:39:53.370552Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4132cbc034876f4d5cc317b160c7c1b4bfa2ac1797cc2ecf67282b03840e0a9d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IEZMXQBUQ5XU2XGDC6YWBR6BWS \
| 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: 4132cbc034876f4d5cc317b160c7c1b4bfa2ac1797cc2ecf67282b03840e0a9d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c0a86d5a4e7a17d3f0ccb234ac6fd7c54098ff5d9d75c57688edb37af93cf519",
"cross_cats_sorted": [
"cs.LG",
"cs.NE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-04-26T21:22:44Z",
"title_canon_sha256": "fbb054309aadeb65f0d021f3df241145651d88e82d3a51fe315f34aab3461f80"
},
"schema_version": "1.0",
"source": {
"id": "2504.19027",
"kind": "arxiv",
"version": 2
}
}