Pith Number
pith:T5LYZXMH
pith:2015:T5LYZXMH7WNOMESTZ444NC3IRL
not attested
not anchored
not stored
refs pending
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
arxiv:1506.07452 v1 · 2015-06-24 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T5LYZXMH7WNOMESTZ444NC3IRL}
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 | 2026-05-18T01:37:03.508108Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f578cdd87fd9ae61253cf39c68b688afacc7da31df4701e24c093064499427c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T5LYZXMH7WNOMESTZ444NC3IRL \
| 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: 9f578cdd87fd9ae61253cf39c68b688afacc7da31df4701e24c093064499427c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b9409f7278fa1ad357d2267212018abee73595c33ef43ff735b4c8bbe5f41721",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-06-24T16:26:51Z",
"title_canon_sha256": "ab86480b83c6c6312299feb5f6d288c1823d49e7835a70255b8e7edf483139b0"
},
"schema_version": "1.0",
"source": {
"id": "1506.07452",
"kind": "arxiv",
"version": 1
}
}