Pith Number
pith:GNRSKLMD
pith:2025:GNRSKLMDXIESBZEWQC2433Q67L
not attested
not anchored
not stored
refs pending
Self-supervised Learning Method Using Transformer for Multi-dimensional Sensor Data Processing
arxiv:2505.21918 v1 · 2025-05-28 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GNRSKLMDXIESBZEWQC2433Q67L}
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
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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 | 2026-07-05T11:11:05.923886Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3363252d83ba0920e49680b5cdee1efaf2fdc874e52e3aef796641c9a14903cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GNRSKLMDXIESBZEWQC2433Q67L \
| 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: 3363252d83ba0920e49680b5cdee1efaf2fdc874e52e3aef796641c9a14903cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "554051df4309000612d4a7da796bcce8d12b14d2df58f43e523a349a0b523570",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-28T03:04:13Z",
"title_canon_sha256": "98583efb009aa59a0ac7866139362a16b7163cda162b52d5d7e31ad15ba2fc57"
},
"schema_version": "1.0",
"source": {
"id": "2505.21918",
"kind": "arxiv",
"version": 1
}
}