Pith Number
pith:NRWJU3D2
pith:2024:NRWJU3D2ZDA3VSPVUAX23JR3IT
not attested
not anchored
not stored
refs pending
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech
arxiv:2410.04188 v1 · 2024-10-05 · cs.CL · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NRWJU3D2ZDA3VSPVUAX23JR3IT}
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 | 2026-07-05T09:16:30.166402Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c6c9a6c7ac8c1bac9f5a02fada63b44c65bbd541f457f66124a1e5ef0431852
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NRWJU3D2ZDA3VSPVUAX23JR3IT \
| 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: 6c6c9a6c7ac8c1bac9f5a02fada63b44c65bbd541f457f66124a1e5ef0431852
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d92fd4ffea0adbe02353cbedcce65f79c9f8e9a3dfe9b5295697e361a1b5973c",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-10-05T15:07:03Z",
"title_canon_sha256": "a26c3a517d0fc09bd83839fd980865459f9b574cf6ba99742ec73ff7330bf879"
},
"schema_version": "1.0",
"source": {
"id": "2410.04188",
"kind": "arxiv",
"version": 1
}
}