Pith Number
pith:MM2Q7ENV
pith:2019:MM2Q7ENV23BEEHQPWKAJT3EQMN
not attested
not anchored
not stored
refs pending
Quantitative Error Prediction of Medical Image Registration using Regression Forests
arxiv:1905.07624 v1 · 2019-05-18 · eess.IV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MM2Q7ENV23BEEHQPWKAJT3EQMN}
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 | 2026-05-17T23:45:49.047303Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63350f91b5d6c2421e0fb28099ec906343d3be5797b863cea5f3c393bd8fbe80
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MM2Q7ENV23BEEHQPWKAJT3EQMN \
| 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: 63350f91b5d6c2421e0fb28099ec906343d3be5797b863cea5f3c393bd8fbe80
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1653a967f1dc914af2623d884a09d7ad2421bffb6c58261b507a90d397597bc7",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-05-18T18:46:59Z",
"title_canon_sha256": "22ab84e52e146cde4eafda15efa31d8c8a0946a56f37c813c14f6c7e3b23e78b"
},
"schema_version": "1.0",
"source": {
"id": "1905.07624",
"kind": "arxiv",
"version": 1
}
}