Pith Number
pith:NM47EFTN
pith:2019:NM47EFTNK6ERLFHNUXE7RMKH6P
not attested
not anchored
not stored
refs pending
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
arxiv:1910.01426 v4 · 2019-10-03 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NM47EFTNK6ERLFHNUXE7RMKH6P}
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 | 2026-07-05T01:35:57.074985Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b39f2166d57891594eda5c9f8b147f3e4c52be513cd1e9dc0c221a6bf173a9f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NM47EFTNK6ERLFHNUXE7RMKH6P \
| 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: 6b39f2166d57891594eda5c9f8b147f3e4c52be513cd1e9dc0c221a6bf173a9f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6561f39fe4700399bf8a0506e61a683e410d659d5cf4626b6149bc80fdfb8dae",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-10-03T12:15:08Z",
"title_canon_sha256": "d7ddbaec59b87e45dd193b272884d5645e657975e9614941f3316139aeca1660"
},
"schema_version": "1.0",
"source": {
"id": "1910.01426",
"kind": "arxiv",
"version": 4
}
}