Pith Number
pith:IRAVN6QU
pith:2022:IRAVN6QUKXN6B46UNTENPSMWWT
not attested
not anchored
not stored
refs pending
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
arxiv:2212.01105 v1 · 2022-12-02 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IRAVN6QUKXN6B46UNTENPSMWWT}
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 | 2026-07-05T05:21:49.599846Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
444156fa1455dbe0f3d46cc8d7c996b4dfb409bc4acd82a9fd61cf82443d2909
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IRAVN6QUKXN6B46UNTENPSMWWT \
| 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: 444156fa1455dbe0f3d46cc8d7c996b4dfb409bc4acd82a9fd61cf82443d2909
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d28d5d19712ad5301a149adf653d8d0b754bfb3c3b327d3c5428a255e7a5b31",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-12-02T11:35:51Z",
"title_canon_sha256": "65b632ddaad8c06746e2f6ee129adacc28575fde6e57e3876577598577ed352d"
},
"schema_version": "1.0",
"source": {
"id": "2212.01105",
"kind": "arxiv",
"version": 1
}
}