Pith Number
pith:HQW5WLRT
pith:2017:HQW5WLRTTYPR7EKJW3QL2XD2UA
not attested
not anchored
not stored
refs pending
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
arxiv:1710.03425 v1 · 2017-10-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HQW5WLRTTYPR7EKJW3QL2XD2UA}
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 | 2026-05-18T00:33:11.984660Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3c2ddb2e339e1f1f9149b6e0bd5c7aa016df68f6b0099fb434b0ed92f79bc356
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HQW5WLRTTYPR7EKJW3QL2XD2UA \
| 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: 3c2ddb2e339e1f1f9149b6e0bd5c7aa016df68f6b0099fb434b0ed92f79bc356
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2c1d0169dd4ef89feefead3cdf6d01568ff3dbfbabf36d6e472102f623bdfb51",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-10T07:16:54Z",
"title_canon_sha256": "dc3904ed693c2d3bae9246bf8749f4c4c3326e83da74f2701264812af51de1a2"
},
"schema_version": "1.0",
"source": {
"id": "1710.03425",
"kind": "arxiv",
"version": 1
}
}