Pith Number
pith:FUJSFEK3
pith:2021:FUJSFEK3ABWIFJAQ7MFPBQUCR2
not attested
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refs pending
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?
arxiv:2110.11929 v4 · 2021-10-22 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FUJSFEK3ABWIFJAQ7MFPBQUCR2}
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 | 2026-07-05T05:05:01.176390Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d1322915b006c82a410fb0af0c2828eb1e33375b4da7d720bec52005973f4c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FUJSFEK3ABWIFJAQ7MFPBQUCR2 \
| 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: 2d1322915b006c82a410fb0af0c2828eb1e33375b4da7d720bec52005973f4c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f9839accb9e5b214878a83b74bd94e507806aea99811aebbf74fd9fa61aa3c17",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-10-22T17:22:05Z",
"title_canon_sha256": "c57187a559c73871a165bbae50fc1c2ca7f13ec614503794b975daaa0c75b8df"
},
"schema_version": "1.0",
"source": {
"id": "2110.11929",
"kind": "arxiv",
"version": 4
}
}