Pith Number
pith:ZFK7XN5J
pith:2025:ZFK7XN5JSWDIVMKYNLZUTQ2NJY
not attested
not anchored
not stored
refs pending
A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs
arxiv:2507.12599 v1 · 2025-07-16 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZFK7XN5JSWDIVMKYNLZUTQ2NJY}
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 | 2026-07-05T11:38:35.434144Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c955fbb7a995868ab1586af349c34d4e059695bada762efcced854b9d940bf4e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZFK7XN5JSWDIVMKYNLZUTQ2NJY \
| 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: c955fbb7a995868ab1586af349c34d4e059695bada762efcced854b9d940bf4e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff7610d57141a488afbee8d9c2ddb72799a962fa8310f9554c432b3858c10612",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-07-16T19:41:41Z",
"title_canon_sha256": "b9f595254f0975ecca89d5d2788af38a1b1151a9d4cd6cbacc2ea9f29c01e46d"
},
"schema_version": "1.0",
"source": {
"id": "2507.12599",
"kind": "arxiv",
"version": 1
}
}