Pith Number
pith:B3LAEL5W
pith:2025:B3LAEL5WHAWHC54RWGNEYHCMCQ
not attested
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refs pending
Segmenting and Understanding: Region-aware Semantic Attention for Fine-grained Image Quality Assessment with Large Language Models
arxiv:2508.07818 v1 · 2025-08-11 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B3LAEL5WHAWHC54RWGNEYHCMCQ}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T11:51:52.835455Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ed6022fb6382c717791b19a4c1c4c141cace07b2439d2271b94772b53177ddc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B3LAEL5WHAWHC54RWGNEYHCMCQ \
| 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: 0ed6022fb6382c717791b19a4c1c4c141cace07b2439d2271b94772b53177ddc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e9beb52f828e324893033551557a265b412126064cc908fd1af9d57060f59d9a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-11T10:03:00Z",
"title_canon_sha256": "d95dbc2ee4b2237b43d8235b379a759c7094da34affcc26feca5bc97274f2937"
},
"schema_version": "1.0",
"source": {
"id": "2508.07818",
"kind": "arxiv",
"version": 1
}
}