Pith Number
pith:GTQKPWLZ
pith:2026:GTQKPWLZFJMODBOE6A2SFKAS5A
not attested
not anchored
not stored
refs pending
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation
arxiv:2607.14962 v1 · 2026-07-16 · cs.LG · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GTQKPWLZFJMODBOE6A2SFKAS5A}
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 | 2026-07-17T01:22:01.259312Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
34e0a7d9792a58e185c4f03522a812e8398ed3ed1bd572d2e38a55ae8c0ffb25
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GTQKPWLZFJMODBOE6A2SFKAS5A \
| 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: 34e0a7d9792a58e185c4f03522a812e8398ed3ed1bd572d2e38a55ae8c0ffb25
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a69a69981dda5a2b18414758d66e66e34dbf7ff6deb01ca47f9455bbd4e75aad",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-16T13:14:21Z",
"title_canon_sha256": "6bc6912aaeabec64e048fecf4f42814edf67a78414b1afd165699dded630fdc1"
},
"schema_version": "1.0",
"source": {
"id": "2607.14962",
"kind": "arxiv",
"version": 1
}
}