Pith Number
pith:YPOGPC3P
pith:2026:YPOGPC3PRQG46HN6NOKZD4A2GO
not attested
not anchored
not stored
refs pending
ACRL: Adaptive Control of Training-Inference Discrepancy for Stable Reinforcement Learning
arxiv:2607.24062 v1 · 2026-07-27 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YPOGPC3PRQG46HN6NOKZD4A2GO}
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 | 2026-07-28T01:23:43.482258Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3dc678b6f8c0dcf1dbe6b9591f01a33928f2c5ac01dba4d5e1c6a3ad5535988
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YPOGPC3PRQG46HN6NOKZD4A2GO \
| 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: c3dc678b6f8c0dcf1dbe6b9591f01a33928f2c5ac01dba4d5e1c6a3ad5535988
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3109a032f35b5adf157f6ddb35ea7fd65014351f7b035824d4716d41c1173f90",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-27T07:05:10Z",
"title_canon_sha256": "41cb798e836d096a27d3a1934d58dd0ddaaee425b72fdab5a9df71f37ddae51e"
},
"schema_version": "1.0",
"source": {
"id": "2607.24062",
"kind": "arxiv",
"version": 1
}
}