Pith Number
pith:DCFL3NFC
pith:2024:DCFL3NFCTY7XL4ZGX4YAY5DYJA
not attested
not anchored
not stored
refs pending
Deep Learning Based Tool Wear Estimation Considering Cutting Conditions
arxiv:2407.01199 v1 · 2024-07-01 · cs.LG · cs.AI · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DCFL3NFCTY7XL4ZGX4YAY5DYJA}
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 | 2026-07-05T08:38:44.505567Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
188abdb4a29e3f75f326bf300c747848187290468ef16bd643a50bc9bcd8a7f1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DCFL3NFCTY7XL4ZGX4YAY5DYJA \
| 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: 188abdb4a29e3f75f326bf300c747848187290468ef16bd643a50bc9bcd8a7f1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "62b5c3eea9753cc97fc8e22bff0f5ee50742430f89375f2d4cbac672496045d2",
"cross_cats_sorted": [
"cs.AI",
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-01T11:48:33Z",
"title_canon_sha256": "4bea9d6df9bb1d384af81e26f33798f0b20e5a21e4f3371dbefd309f85218a63"
},
"schema_version": "1.0",
"source": {
"id": "2407.01199",
"kind": "arxiv",
"version": 1
}
}