Pith Number
pith:RU4QKMZ5
pith:2022:RU4QKMZ5BMK6IIG6BFG5BDU4MD
not attested
not anchored
not stored
refs pending
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors
arxiv:2210.16068 v2 · 2022-10-28 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RU4QKMZ5BMK6IIG6BFG5BDU4MD}
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 | 2026-07-05T06:26:43.532081Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8d3905333d0b15e420de094dd08e9c60d083214c7fa920730fc6c159c896f676
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RU4QKMZ5BMK6IIG6BFG5BDU4MD \
| 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: 8d3905333d0b15e420de094dd08e9c60d083214c7fa920730fc6c159c896f676
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "da69b475e25f545322845ddb26e023c933985d5396f84b86e62d174b112fd5e5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-10-28T11:36:22Z",
"title_canon_sha256": "6c9f0c13af45f7e8ced539806e2f6aa2e4d0969cb7c9b55505a55b305a24ec6e"
},
"schema_version": "1.0",
"source": {
"id": "2210.16068",
"kind": "arxiv",
"version": 2
}
}