Pith Number
pith:NNNMN632
pith:2019:NNNMN632VUIJ7O4CSF4UUZW76O
not attested
not anchored
not stored
refs pending
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud
arxiv:1907.07160 v1 · 2019-07-16 · cs.CV · cs.RO · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NNNMN632VUIJ7O4CSF4UUZW76O}
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
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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 | 2026-05-17T23:40:27.846448Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b5ac6fb7aad109fbb8291794a66dff3856824db7cb403c1d2cda931fb4f62b6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NNNMN632VUIJ7O4CSF4UUZW76O \
| 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: 6b5ac6fb7aad109fbb8291794a66dff3856824db7cb403c1d2cda931fb4f62b6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e64e3def013f16c7f88b2d66698a2812fa6228e1faa3c2f294ae4bdf1638bc79",
"cross_cats_sorted": [
"cs.RO",
"eess.IV"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-07-16T17:35:53Z",
"title_canon_sha256": "bee74cdfa6c512588e65244fd5d9918df3ae3456ecabcc9d5884870e610b075b"
},
"schema_version": "1.0",
"source": {
"id": "1907.07160",
"kind": "arxiv",
"version": 1
}
}