Pith Number
pith:6CXT4U7J
pith:2017:6CXT4U7JGLFX7F7SDKDSFYJB5Q
not attested
not anchored
not stored
refs pending
Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network
arxiv:1705.04456 v1 · 2017-05-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6CXT4U7JGLFX7F7SDKDSFYJB5Q}
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 | 2026-05-18T00:40:28.396399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0af3e53e932cb7f97f21a8722e121ec3acced5796d1afdc1b50cbae038cee32
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CXT4U7JGLFX7F7SDKDSFYJB5Q \
| 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: f0af3e53e932cb7f97f21a8722e121ec3acced5796d1afdc1b50cbae038cee32
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8be512d3a71d99492863d3672567572f0138e688aec6ab17ef001c04cf2138f9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-05-12T07:52:27Z",
"title_canon_sha256": "8c60fe2eb10f04af5119c663e4b6c9050845c8c087c88b464ecc43a3b356aea5"
},
"schema_version": "1.0",
"source": {
"id": "1705.04456",
"kind": "arxiv",
"version": 1
}
}