Pith Number
pith:LXQ2DY2K
pith:2026:LXQ2DY2KS5AW3ZO4CWRPSE77C5
not attested
not anchored
not stored
refs pending
Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration
arxiv:2606.24970 v1 · 2026-06-23 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LXQ2DY2KS5AW3ZO4CWRPSE77C5}
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 | 2026-06-25T00:17:47.190603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5de1a1e34a97416de5dc15a2f913ff174be22bd9e84a64d7c78f5e1e6a23b7d8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LXQ2DY2KS5AW3ZO4CWRPSE77C5 \
| 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: 5de1a1e34a97416de5dc15a2f913ff174be22bd9e84a64d7c78f5e1e6a23b7d8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6b2771233f04328aa066ca43b27b023c05e5cc2700cf9fa54b94fa60473611b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-23T11:07:59Z",
"title_canon_sha256": "30108d0e559355f44ddbb1d6843655eb6b4c26ef3c6c65f9ff92c31b387754b9"
},
"schema_version": "1.0",
"source": {
"id": "2606.24970",
"kind": "arxiv",
"version": 1
}
}