Pith Number
pith:34DOGJA5
pith:2026:34DOGJA57VFWX5TAGCA3O6MGWJ
not attested
not anchored
not stored
refs pending
3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment
arxiv:2608.03279 v1 · 2026-08-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{34DOGJA57VFWX5TAGCA3O6MGWJ}
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 | 2026-08-05T00:46:38.082512Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df06e3241dfd4b6bf6603081b77986b26c6b5d0552a43b7223292f97e84ad394
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/34DOGJA57VFWX5TAGCA3O6MGWJ \
| 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: df06e3241dfd4b6bf6603081b77986b26c6b5d0552a43b7223292f97e84ad394
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a27dba770a73f471e74749775eb8e96fcbc2c67e2be0527cd43ebfbfb10e468",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-08-04T07:53:14Z",
"title_canon_sha256": "cb3a353dc5cf541366e703c240e727caa47db27a507633e92cbbdb86d771fda7"
},
"schema_version": "1.0",
"source": {
"id": "2608.03279",
"kind": "arxiv",
"version": 1
}
}