Pith Number
pith:LBRMX7OF
pith:2022:LBRMX7OFF4BFX7TO7OBUYOACYT
not attested
not anchored
not stored
refs pending
Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
arxiv:2209.02692 v3 · 2022-09-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LBRMX7OFF4BFX7TO7OBUYOACYT}
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.
Receipt and verification
| First computed | 2026-07-05T05:12:30.618500Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5862cbfdc52f025bfe6efb834c3802c4cc2be4a54ebbe275e4f142fd841e7d29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LBRMX7OFF4BFX7TO7OBUYOACYT \
| 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: 5862cbfdc52f025bfe6efb834c3802c4cc2be4a54ebbe275e4f142fd841e7d29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "976d76d33aedea6300109b4c0f68afda024f20113fd6c4436a569acd32121056",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-09-06T17:59:11Z",
"title_canon_sha256": "9ee6e48e6763dd8f69f86d89cdf9383abadce4e1cb803fa9169be151341439cf"
},
"schema_version": "1.0",
"source": {
"id": "2209.02692",
"kind": "arxiv",
"version": 3
}
}