Pith Number
pith:42QXJVXD
pith:2016:42QXJVXDDRMGZVEQV4Q5G22VBL
not attested
not anchored
not stored
refs pending
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
arxiv:1612.07429 v3 · 2016-12-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{42QXJVXDDRMGZVEQV4Q5G22VBL}
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 | 2026-05-18T00:41:07.571134Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6a174d6e31c586cd490af21d36b550ad341b7b3197d75ecb078c25b7dbf9dbb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/42QXJVXDDRMGZVEQV4Q5G22VBL \
| 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: e6a174d6e31c586cd490af21d36b550ad341b7b3197d75ecb078c25b7dbf9dbb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "daba1aab14269c9b304af612a61c666c7a79dc365f23ee8e30a0648f0b755465",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-12-22T03:18:12Z",
"title_canon_sha256": "842a973d9a130d144cccc553169021bc1d8d2f05d97b2777afde9294a34807aa"
},
"schema_version": "1.0",
"source": {
"id": "1612.07429",
"kind": "arxiv",
"version": 3
}
}