Pith Number
pith:LSQQ435I
pith:2026:LSQQ435I6QQ7QE5D5S5EF4DZ6Y
not attested
not anchored
not stored
refs pending
Overcoming the Intrinsic Performance Limitations of MEMS IMU via Diffusion-Based Generative Learning
arxiv:2605.16391 v1 · 2026-05-12 · eess.SP · cs.AI · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LSQQ435I6QQ7QE5D5S5EF4DZ6Y}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-20T00:02:19.950771Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ca10e6fa8f421f813a3ecba42f079f614c4300945807b7f20b4f3b61066443c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LSQQ435I6QQ7QE5D5S5EF4DZ6Y \
| 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: 5ca10e6fa8f421f813a3ecba42f079f614c4300945807b7f20b4f3b61066443c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10caab87475b7c5f73f6bf4919479404d146aeab89a406c5f145f4590dab9ada",
"cross_cats_sorted": [
"cs.AI",
"cs.LG",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2026-05-12T05:03:52Z",
"title_canon_sha256": "e2041e3bf39f0d07b5cd944c1eead3258d4b517c9778915c0d1f480ce5f25b0f"
},
"schema_version": "1.0",
"source": {
"id": "2605.16391",
"kind": "arxiv",
"version": 1
}
}