Pith Number
pith:L73UOWFM
pith:2017:L73UOWFMIWEB5ID5Y4EQYFIKTC
not attested
not anchored
not stored
refs pending
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach
arxiv:1705.05098 v2 · 2017-05-15 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L73UOWFMIWEB5ID5Y4EQYFIKTC}
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 | 2026-05-18T00:43:44.850722Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ff74758ac45881ea07dc7090c150a9881c93c1de50e66c1e79a3745579e32b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L73UOWFMIWEB5ID5Y4EQYFIKTC \
| 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: 5ff74758ac45881ea07dc7090c150a9881c93c1de50e66c1e79a3745579e32b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "91f60b489875bb165cfb10d694ae6e8e4c66ea1841b421d829dca4dd34feb1b0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-05-15T07:35:59Z",
"title_canon_sha256": "9fa7b71d5e686b56ec6c46901b29c412f1120fe799b1061d62afc11a5662d927"
},
"schema_version": "1.0",
"source": {
"id": "1705.05098",
"kind": "arxiv",
"version": 2
}
}