Pith Number
pith:SJTT7FMJ
pith:2019:SJTT7FMJCP5YSZS7S2O7P4ILFA
not attested
not anchored
not stored
refs pending
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
arxiv:1904.11783 v2 · 2019-04-26 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SJTT7FMJCP5YSZS7S2O7P4ILFA}
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
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4
Citations
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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 | 2026-05-17T23:47:35.496383Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92673f958913fb89665f969df7f10b280638a035d7279f149828ad1dd035b0b6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SJTT7FMJCP5YSZS7S2O7P4ILFA \
| 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: 92673f958913fb89665f969df7f10b280638a035d7279f149828ad1dd035b0b6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "60c41833a637cf7d2a62697d7cdebade301431ac94e30c6344d3932c2eb047cd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-04-26T11:56:35Z",
"title_canon_sha256": "5db7dd61f0bc9188395199f50fad2e24c9136cda2b4b58355716b0a8d3233835"
},
"schema_version": "1.0",
"source": {
"id": "1904.11783",
"kind": "arxiv",
"version": 2
}
}