Pith Number
pith:VWEBMPDF
pith:2019:VWEBMPDFXOUPDE6RU7GIMDNYTU
not attested
not anchored
not stored
refs pending
Toward quantitative fractography using convolutional neural networks
arxiv:1908.02242 v2 · 2019-08-01 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VWEBMPDFXOUPDE6RU7GIMDNYTU}
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
· sign in to
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 | 2026-07-05T01:01:20.444027Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad88163c65bba8f193d1a7cc860db89d15aeb707ae3c89dd0558609f7557f641
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VWEBMPDFXOUPDE6RU7GIMDNYTU \
| 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: ad88163c65bba8f193d1a7cc860db89d15aeb707ae3c89dd0558609f7557f641
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4ed3903b450d8fc1a32e36cb942a461e52fe72030366d7bbb6d04ecfedb941ab",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-08-01T21:06:42Z",
"title_canon_sha256": "dc4aa6f0b4803007a101351dbc79e2d130e2408cc6d0edb08181f816aa1d37dd"
},
"schema_version": "1.0",
"source": {
"id": "1908.02242",
"kind": "arxiv",
"version": 2
}
}