Pith Number
pith:3NYVWZGG
pith:2020:3NYVWZGGA36ZXFPS7PFTXHGMJD
not attested
not anchored
not stored
refs pending
Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning
arxiv:2008.07714 v1 · 2020-08-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3NYVWZGGA36ZXFPS7PFTXHGMJD}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:27:54.387972Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db715b64c606fd9b95f2fbcb3b9ccc48d55a912f875a4de47a9b0ec9507baae7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3NYVWZGGA36ZXFPS7PFTXHGMJD \
| 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: db715b64c606fd9b95f2fbcb3b9ccc48d55a912f875a4de47a9b0ec9507baae7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e9727923e92c357f0c594de779de7cd3de18e6b428f3a58e605bbb67d5b5401a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-08-18T02:58:21Z",
"title_canon_sha256": "3a1abaabecccb17f27fbd733884026de73536c856962fe5d63988971ff37bba0"
},
"schema_version": "1.0",
"source": {
"id": "2008.07714",
"kind": "arxiv",
"version": 1
}
}