Pith Number
pith:FAKAI7KF
pith:2023:FAKAI7KFEFHDWZYJB4RX3DIBH3
not attested
not anchored
not stored
refs pending
Exploring Gender-Based Toxic Speech on Twitter in Context of the #MeToo movement: A Mixed Methods Approach
arxiv:2308.13076 v1 · 2023-08-24 · cs.SI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FAKAI7KFEFHDWZYJB4RX3DIBH3}
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 | 2026-07-05T06:44:38.178400Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2814047d45214e3b67090f237d8d013ed636fb49aa11a600a8c860e08e6110d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FAKAI7KFEFHDWZYJB4RX3DIBH3 \
| 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: 2814047d45214e3b67090f237d8d013ed636fb49aa11a600a8c860e08e6110d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ebc143b74919991663d50311dac6381de40cf7bbf469cbfe72ff40fc9a0cd95",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SI",
"submitted_at": "2023-08-24T20:45:12Z",
"title_canon_sha256": "9f4da197e9d63d99ba7f07fab96cf467a06519613a0423250582b581c12e3d1e"
},
"schema_version": "1.0",
"source": {
"id": "2308.13076",
"kind": "arxiv",
"version": 1
}
}