Pith Number
pith:4M73LVNM
pith:2021:4M73LVNMXW2D32U75UHJ2CE2VX
not attested
not anchored
not stored
refs pending
Statistical Learning for Best Practices in Tattoo Removal
arxiv:2105.09065 v1 · 2021-05-19 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4M73LVNMXW2D32U75UHJ2CE2VX}
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
✓
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 | 2026-07-05T02:41:37.032683Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e33fb5d5acbdb43dea9fed0e9d089aadc93442f44764975efa6549b1df443975
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4M73LVNMXW2D32U75UHJ2CE2VX \
| 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: e33fb5d5acbdb43dea9fed0e9d089aadc93442f44764975efa6549b1df443975
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "971e22db0b88651707189b23ad5795d0e78645be4ad8fe4070eb760a63931d4c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.AP",
"submitted_at": "2021-05-19T11:21:43Z",
"title_canon_sha256": "ff728117da13259984348352e36ddb326c1cd327a6b3e3fe5ec4df9395cae222"
},
"schema_version": "1.0",
"source": {
"id": "2105.09065",
"kind": "arxiv",
"version": 1
}
}