Pith Number
pith:A5IN7XCX
pith:2019:A5IN7XCXYPAGU6TGZ746AFBNX2
not attested
not anchored
not stored
refs pending
Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors
arxiv:1903.10909 v2 · 2019-03-24 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A5IN7XCXYPAGU6TGZ746AFBNX2}
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.
Receipt and verification
| First computed | 2026-05-17T23:41:53.248253Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0750dfdc57c3c06a7a66cff9e0142dbe95f03305fd6a46491edcf34a0e2b337e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A5IN7XCXYPAGU6TGZ746AFBNX2 \
| 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: 0750dfdc57c3c06a7a66cff9e0142dbe95f03305fd6a46491edcf34a0e2b337e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ef716d6498143f5fc1e18c04c0eae96c9af8b52f188d27be8f5a361d97d91fa1",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-03-24T05:47:31Z",
"title_canon_sha256": "8eedd8e70b42b08bc848eb27c8381099fa706bf90f9207f26d2cdcc296c1205a"
},
"schema_version": "1.0",
"source": {
"id": "1903.10909",
"kind": "arxiv",
"version": 2
}
}