Pith Number
pith:VKCB3QC3
pith:2017:VKCB3QC3AB2SJX6SOUA7LWDSCX
not attested
not anchored
not stored
refs pending
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?
arxiv:1711.03874 v1 · 2017-11-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VKCB3QC3AB2SJX6SOUA7LWDSCX}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-05-18T00:30:51.213877Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa841dc05b007524dfd27501f5d87215d88792f50b4fab1926c5aa5d7f965134
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VKCB3QC3AB2SJX6SOUA7LWDSCX \
| 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: aa841dc05b007524dfd27501f5d87215d88792f50b4fab1926c5aa5d7f965134
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee1cfe12adca52a25300cf14de15067a02c71f6c836dcbb345a135ff1d9f6a56",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-09T15:48:26Z",
"title_canon_sha256": "921be83b4bc6d3368c7a8898d104ffd3fdb1fdf38c28a1daf55a8fe6b596f0f5"
},
"schema_version": "1.0",
"source": {
"id": "1711.03874",
"kind": "arxiv",
"version": 1
}
}