Pith Number
pith:VFCSD34E
pith:2015:VFCSD34E474X2W7TXZKSPU6XDX
not attested
not anchored
not stored
refs pending
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
arxiv:1503.04949 v3 · 2015-03-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VFCSD34E474X2W7TXZKSPU6XDX}
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 | 2026-05-18T01:25:56.526198Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a94521ef84e7f97d5bf3be5527d3d71de677266a681199e7ca10c29c088bd248
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VFCSD34E474X2W7TXZKSPU6XDX \
| 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: a94521ef84e7f97d5bf3be5527d3d71de677266a681199e7ca10c29c088bd248
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7f01451fb26652e3f93366ff8a92d1b804b766b5ee63db78f25e1f6857257197",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-03-17T08:43:57Z",
"title_canon_sha256": "ee81e8a1f9eccb12ca23b3a693c2d2156400d9992cade7c66016983bbf8b2300"
},
"schema_version": "1.0",
"source": {
"id": "1503.04949",
"kind": "arxiv",
"version": 3
}
}