Pith Number
pith:GD4QKSRH
pith:2026:GD4QKSRHCUZSSC23IIUPXGZUW2
not attested
not anchored
not stored
refs pending
Adaptive Coarse-to-Fine Subgoal Refinement for Long-Horizon Offline Goal-Conditioned Reinforcement Learning
arxiv:2605.28127 v1 · 2026-05-27 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GD4QKSRHCUZSSC23IIUPXGZUW2}
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.
Receipt and verification
| First computed | 2026-05-28T01:04:59.872850Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30f9054a271533290b5b4228fb9b34b6a395a16a8e1d8c060ee82cfd2c1e978e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GD4QKSRHCUZSSC23IIUPXGZUW2 \
| 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: 30f9054a271533290b5b4228fb9b34b6a395a16a8e1d8c060ee82cfd2c1e978e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "689f3ab6bc39224b497738a3391fd8ec7855b30752db63aff993aba268ed9d01",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-27T08:17:01Z",
"title_canon_sha256": "cfd5be0d28e4fa5f6453e860628632e11822851d6cd4afe6109f403715602807"
},
"schema_version": "1.0",
"source": {
"id": "2605.28127",
"kind": "arxiv",
"version": 1
}
}