Pith Number
pith:UKFR35SY
pith:2021:UKFR35SYROJ3OWY7YUTDIUIE4K
not attested
not anchored
not stored
refs pending
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry
arxiv:2101.04035 v1 · 2021-01-11 · cs.HC · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UKFR35SYROJ3OWY7YUTDIUIE4K}
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
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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 | 2026-07-05T03:23:06.994698Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a28b1df6588b93b75b1fc526345104e2ba3d24c6da4bf8abe3117b1c4da912ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UKFR35SYROJ3OWY7YUTDIUIE4K \
| 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: a28b1df6588b93b75b1fc526345104e2ba3d24c6da4bf8abe3117b1c4da912ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "415512ac234db442b50607513ffcaf2a3f57f5b3940221ed66fc9be8913cf756",
"cross_cats_sorted": [
"cs.CY",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2021-01-11T17:11:19Z",
"title_canon_sha256": "3cf012588c78b669bf6ab6ddf3af3cd565be907bf072120b9e57121b55e9d2f9"
},
"schema_version": "1.0",
"source": {
"id": "2101.04035",
"kind": "arxiv",
"version": 1
}
}