Pith Number
pith:NWOU6MHM
pith:2026:NWOU6MHM4KCGCBFEW7PW5762CI
not attested
not anchored
not stored
refs pending
Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression
arxiv:2605.20740 v1 · 2026-05-20 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NWOU6MHM4KCGCBFEW7PW5762CI}
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
✓
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 | 2026-05-21T01:04:51.671849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6d9d4f30ece2846104a4b7df6effda12209e95fb3c14a7f868d4e338e7a01edc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NWOU6MHM4KCGCBFEW7PW5762CI \
| 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: 6d9d4f30ece2846104a4b7df6effda12209e95fb3c14a7f868d4e338e7a01edc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca0aa2e60ef6d78088f20b42d4c67eb0b5839af53ed2cd83cc898654195cda16",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-20T05:43:40Z",
"title_canon_sha256": "ff1bb9af79ccceca54bef0eedfb7c3fe03f639d94b4ca3705c921b0b6584fff7"
},
"schema_version": "1.0",
"source": {
"id": "2605.20740",
"kind": "arxiv",
"version": 1
}
}