Pith Number
pith:J57QMIUP
pith:2016:J57QMIUPCXJKXPGIU77PII34ZO
not attested
not anchored
not stored
refs pending
Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval
arxiv:1608.04267 v2 · 2016-08-15 · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J57QMIUPCXJKXPGIU77PII34ZO}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-05-18T00:44:37.050985Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4f7f06228f15d2abbcc8a7fef4237ccb9cfa873c3948a0f8c501d930ff0ea7a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J57QMIUPCXJKXPGIU77PII34ZO \
| 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: 4f7f06228f15d2abbcc8a7fef4237ccb9cfa873c3948a0f8c501d930ff0ea7a3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f5c68130c1df80076eae2a2de4627b38dbdcfbced5794d62fe5644cce0e16fc",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-08-15T13:48:22Z",
"title_canon_sha256": "3b7e39c476341bf3510f37025d4fc439c00b2f49b633a93cf842ce35c57426f3"
},
"schema_version": "1.0",
"source": {
"id": "1608.04267",
"kind": "arxiv",
"version": 2
}
}