Pith Number
pith:XEVQ5VRL
pith:2017:XEVQ5VRLYMX3OTB5RB3ZTG6WHL
not attested
not anchored
not stored
refs pending
Texture Fuzzy Segmentation using Skew Divergence Adaptive Affinity Functions
arxiv:1710.02754 v1 · 2017-10-07 · cs.CV · cs.AI · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XEVQ5VRLYMX3OTB5RB3ZTG6WHL}
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
· sign in to
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 | 2026-05-18T00:33:28.937169Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b92b0ed62bc32fb74c3d8877999bd63ad57499e6026213b32e55567fb0485ac4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XEVQ5VRLYMX3OTB5RB3ZTG6WHL \
| 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: b92b0ed62bc32fb74c3d8877999bd63ad57499e6026213b32e55567fb0485ac4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d1c750986bc8dd7c87b707dcedcc2413f3ccd37d94f807c59a02dc0d120f5e51",
"cross_cats_sorted": [
"cs.AI",
"cs.GR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-07T22:10:08Z",
"title_canon_sha256": "49727d2e3d620ca224bd48d505b8e6a60300535f96468921ba517b6c1bdf3441"
},
"schema_version": "1.0",
"source": {
"id": "1710.02754",
"kind": "arxiv",
"version": 1
}
}