Pith Number
pith:IGDT7M5Y
pith:2024:IGDT7M5YQRZJCEKDOC3NEIHKKV
not attested
not anchored
not stored
refs pending
RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians
arxiv:2406.11836 v2 · 2024-06-17 · cs.CV · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IGDT7M5YQRZJCEKDOC3NEIHKKV}
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
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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 | 2026-07-05T08:35:47.706577Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
41873fb3b8847291114370b6d220ea5567dc30d013778d9c11d42b8967df9d2f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IGDT7M5YQRZJCEKDOC3NEIHKKV \
| 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: 41873fb3b8847291114370b6d220ea5567dc30d013778d9c11d42b8967df9d2f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5d20e39adc3bd0a340c13e957922791c5db703ad0d09275bba02081da6f9b7dc",
"cross_cats_sorted": [
"cs.GR"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-06-17T17:59:56Z",
"title_canon_sha256": "b351461c9575294c57b164094784723be1b3b35d087ac5d4984262ff1ddc7798"
},
"schema_version": "1.0",
"source": {
"id": "2406.11836",
"kind": "arxiv",
"version": 2
}
}