Pith Number
pith:BEPWRBYT
pith:2018:BEPWRBYTMREKD7HCNPUIUF7WJJ
not attested
not anchored
not stored
refs pending
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel
arxiv:1805.08693 v2 · 2018-05-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BEPWRBYTMREKD7HCNPUIUF7WJJ}
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 | 2026-05-17T23:54:48.422158Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
091f6887136448a1fce26be88a17f64a572a93c1eac45c89f14895d4c6a92008
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BEPWRBYTMREKD7HCNPUIUF7WJJ \
| 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: 091f6887136448a1fce26be88a17f64a572a93c1eac45c89f14895d4c6a92008
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "992b66396ec4aedf1b72564f6ba9a44535fe3e64f69f632e74a205f59f6127a5",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-05-04T17:22:34Z",
"title_canon_sha256": "b099035a375cfe4fe870b3df1bc8e90cb0db668b6bbe8ccbe8f84dd1c08f6c96"
},
"schema_version": "1.0",
"source": {
"id": "1805.08693",
"kind": "arxiv",
"version": 2
}
}