Pith Number
pith:DMSAIUCG
pith:2025:DMSAIUCGRADORSIBOE3BFWKST7
not attested
not anchored
not stored
refs pending
Adaptive Resolving Methods for Reinforcement Learning with Function Approximations
arxiv:2505.12037 v1 · 2025-05-17 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DMSAIUCGRADORSIBOE3BFWKST7}
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 | 2026-07-05T11:04:57.322806Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b240450468806e8c901713612d9529ff99949fda76c93875cf1f172bb0f4985
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMSAIUCGRADORSIBOE3BFWKST7 \
| 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: 1b240450468806e8c901713612d9529ff99949fda76c93875cf1f172bb0f4985
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8114e577139627ae78147380792b63790ace9342523370ddf3fd218c00682dee",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-17T14:59:15Z",
"title_canon_sha256": "0a57fbc24e2cb665ee4ee0a33bf5ac85b21f3f8e2d6e47c5ddb1f599d690d616"
},
"schema_version": "1.0",
"source": {
"id": "2505.12037",
"kind": "arxiv",
"version": 1
}
}