Pith Number
pith:5LCDNAOL
pith:2024:5LCDNAOLL6HJPHZZUAIRHBO3AU
not attested
not anchored
not stored
refs pending
Large Language Models Can Understanding Depth from Monocular Images
arxiv:2409.01133 v1 · 2024-09-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5LCDNAOLL6HJPHZZUAIRHBO3AU}
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
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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 | 2026-07-05T09:01:59.451194Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eac43681cb5f8e979f39a0111385db05130cebfe0f63890a8fc6314cc89bc0ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5LCDNAOLL6HJPHZZUAIRHBO3AU \
| 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: eac43681cb5f8e979f39a0111385db05130cebfe0f63890a8fc6314cc89bc0ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6075d1ed026da3c6be4ca1173adedc9ae73e1d72d89e1dfff6631f4c791e418",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-02T10:11:52Z",
"title_canon_sha256": "9906c7f82ac37bd86c6e558a0bd00a92ab435034cb0d1175d407b368ca85cb31"
},
"schema_version": "1.0",
"source": {
"id": "2409.01133",
"kind": "arxiv",
"version": 1
}
}