Pith Number
pith:WW6ERFC6
pith:2021:WW6ERFC6PIPLOJ7AAJKNRF3ZBI
not attested
not anchored
not stored
refs pending
Identifying the Prevalence of Gender Biases among the Computing Organizations
arxiv:2107.00212 v1 · 2021-07-01 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WW6ERFC6PIPLOJ7AAJKNRF3ZBI}
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
· sign in to
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:54:22.095780Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b5bc48945e7a1eb727e00254d897790a1a3d4ad6bc215150af9fc69d3212e78a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WW6ERFC6PIPLOJ7AAJKNRF3ZBI \
| 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: b5bc48945e7a1eb727e00254d897790a1a3d4ad6bc215150af9fc69d3212e78a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a6f8c1ad392f3b22da317c0225763bff33e4a5ad1d8322c4d3ffbb89c9607528",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2021-07-01T04:44:10Z",
"title_canon_sha256": "c6500881e03054d3cd84c64f5337df82be04b26403d7888f9deb9d01369afe66"
},
"schema_version": "1.0",
"source": {
"id": "2107.00212",
"kind": "arxiv",
"version": 1
}
}