Pith Number
pith:N4FHCIWQ
pith:2021:N4FHCIWQD2QVX34OLRFJW6DJ3S
not attested
not anchored
not stored
refs pending
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
arxiv:2108.00408 v2 · 2021-08-01 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N4FHCIWQD2QVX34OLRFJW6DJ3S}
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 | 2026-07-05T07:54:46.258866Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6f0a7122d01ea15bef8e5c4a9b7869dc9e2554fe63781b8cab9bb0d758a3deeb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N4FHCIWQD2QVX34OLRFJW6DJ3S \
| 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: 6f0a7122d01ea15bef8e5c4a9b7869dc9e2554fe63781b8cab9bb0d758a3deeb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3330cf728303cdf89c77847e6c7154cc1ba6e6e988e6c61390ba192263eacfe8",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-08-01T09:16:31Z",
"title_canon_sha256": "354d9f15278efd2d95d20916460ba6d656c6390aa80267b9794d10e79f33e446"
},
"schema_version": "1.0",
"source": {
"id": "2108.00408",
"kind": "arxiv",
"version": 2
}
}