Pith Number
pith:MTFDHMLR
pith:2025:MTFDHMLRBZUVPRV7Y5XOQVAXFZ
not attested
not anchored
not stored
refs pending
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
arxiv:2502.02917 v2 · 2025-02-05 · cs.LG · cs.AI · cs.SC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MTFDHMLRBZUVPRV7Y5XOQVAXFZ}
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
✓
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 | 2026-07-05T10:12:26.465503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
64ca33b1710e6957c6bfc76ee854172e44ca49151e12f52d38ffb3a2ed573c49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MTFDHMLRBZUVPRV7Y5XOQVAXFZ \
| 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: 64ca33b1710e6957c6bfc76ee854172e44ca49151e12f52d38ffb3a2ed573c49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc6e0176dced73129ea710c482fa574a2ad72909c6b79a6fa26d06a897a33cb5",
"cross_cats_sorted": [
"cs.AI",
"cs.SC"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-05T06:26:49Z",
"title_canon_sha256": "6a5ea952341632ab847316104febcd42bc82962006e78948826238e4b8fc989d"
},
"schema_version": "1.0",
"source": {
"id": "2502.02917",
"kind": "arxiv",
"version": 2
}
}