Pith Number
pith:YZFLQAA7
pith:2023:YZFLQAA7QNYTTPWUAXMEAQJPVC
not attested
not anchored
not stored
refs pending
SensLI: Sensitivity-Based Layer Insertion for Neural Networks
arxiv:2311.15995 v2 · 2023-11-27 · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YZFLQAA7QNYTTPWUAXMEAQJPVC}
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 | 2026-07-05T11:22:29.260821Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c64ab8001f837139bed405d840412fa89a7c59b45fba0aa1177760b94c493b19
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YZFLQAA7QNYTTPWUAXMEAQJPVC \
| 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: c64ab8001f837139bed405d840412fa89a7c59b45fba0aa1177760b94c493b19
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "82402e33d887020f95cd7d9ce8d4839635c66e30437ce87c111f30f69b486091",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-27T16:44:13Z",
"title_canon_sha256": "e14aa0b3ab3f8e83a79acfcb078b7cf2eeb641bcdb9d307f7f67344d8d4dfa83"
},
"schema_version": "1.0",
"source": {
"id": "2311.15995",
"kind": "arxiv",
"version": 2
}
}