Pith Number
pith:QF3TNZ5O
pith:2025:QF3TNZ5OLRILVESHQAXWPPEWVL
not attested
not anchored
not stored
refs pending
A Theoretical Framework for Explaining Reinforcement Learning with Shapley Values
arxiv:2505.07797 v2 · 2025-05-12 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QF3TNZ5OLRILVESHQAXWPPEWVL}
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
· sign in to
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 | 2026-07-05T11:46:21.968345Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
817736e7ae5c50ba9247802f67bc96aac5b16f841e4d83f46ef48bef3d94538d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QF3TNZ5OLRILVESHQAXWPPEWVL \
| 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: 817736e7ae5c50ba9247802f67bc96aac5b16f841e4d83f46ef48bef3d94538d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bee3e4b5c73bae72eb7452fd51d13ce0df42e170129d812cb9fbc06f5fac7d47",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-12T17:48:28Z",
"title_canon_sha256": "b84b6bd683d09cdecb78cd1cb96a53a4956d22bf9246b49e1ba505400e3c8265"
},
"schema_version": "1.0",
"source": {
"id": "2505.07797",
"kind": "arxiv",
"version": 2
}
}