Pith Number
pith:RGAAAQVN
pith:2019:RGAAAQVNDLEPYENXGEWVCMMEFU
not attested
not anchored
not stored
refs pending
Understanding Deep Learning Techniques for Image Segmentation
arxiv:1907.06119 v1 · 2019-07-13 · cs.CV · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RGAAAQVNDLEPYENXGEWVCMMEFU}
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 | 2026-05-17T23:40:42.380765Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
89800042ad1ac8fc11b7312d5131842d1a0bc38c6c5506bcad422c6e90f76d69
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RGAAAQVNDLEPYENXGEWVCMMEFU \
| 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: 89800042ad1ac8fc11b7312d5131842d1a0bc38c6c5506bcad422c6e90f76d69
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8550ff9e9032579abe68e8dbd6f5f1069834b39b226337b263ababfb9e57e4c7",
"cross_cats_sorted": [
"cs.LG",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-07-13T19:23:42Z",
"title_canon_sha256": "09cbbacaabb45814e2d305bc7dab45d540f5d327a8b702e4f7b4d18600e0425f"
},
"schema_version": "1.0",
"source": {
"id": "1907.06119",
"kind": "arxiv",
"version": 1
}
}