Pith Number
pith:LBX2PA4G
pith:2025:LBX2PA4GCD6J34XEFIRSWAPOUX
not attested
not anchored
not stored
refs pending
Text4Seg++: Advancing Image Segmentation via Generative Language Modeling
arxiv:2509.06321 v1 · 2025-09-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LBX2PA4GCD6J34XEFIRSWAPOUX}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T12:06:33.724730Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
586fa7838610fc9df2e42a232b01eea5ee859f3ee7de0435f79fe407f94bc627
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LBX2PA4GCD6J34XEFIRSWAPOUX \
| 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: 586fa7838610fc9df2e42a232b01eea5ee859f3ee7de0435f79fe407f94bc627
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "191c2625628687dc0a017b94d6d4300d1268e9fb42e1e7694a90060961e6c6f3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-09-08T04:07:14Z",
"title_canon_sha256": "0baeca324ffd2e2a69a10f31fa3cb3010a63f3fb9190af2586488b0bdbee1f33"
},
"schema_version": "1.0",
"source": {
"id": "2509.06321",
"kind": "arxiv",
"version": 1
}
}