Pith Number
pith:FGHCIO2P
pith:2026:FGHCIO2PDRGGEEXHMUPABNPGJ6
not attested
not anchored
not stored
refs pending
Deterministic Pareto-Optimal Policy Synthesis for Multi-Objective Reinforcement Learning
arxiv:2606.26397 v1 · 2026-06-24 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FGHCIO2PDRGGEEXHMUPABNPGJ6}
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 | 2026-06-26T00:15:39.848391Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
298e243b4f1c4c6212e7651e00b5e64fbca93cbe5a5525327f0b76ad4f8c80a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FGHCIO2PDRGGEEXHMUPABNPGJ6 \
| 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: 298e243b4f1c4c6212e7651e00b5e64fbca93cbe5a5525327f0b76ad4f8c80a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbf3b9aa23bd5cb4b11c2471b3f043750cc26798c5d6e78fb23a0d59685e4c1b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-24T21:28:49Z",
"title_canon_sha256": "2d941c77873239900ef3953323e554b11ddcf75153d30d9ac321812ae2800e91"
},
"schema_version": "1.0",
"source": {
"id": "2606.26397",
"kind": "arxiv",
"version": 1
}
}