Pith Number
pith:3VKGSFE4
pith:2025:3VKGSFE4USNPQA2KY26RXAYH2S
not attested
not anchored
not stored
refs pending
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices
arxiv:2507.07949 v1 · 2025-07-10 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3VKGSFE4USNPQA2KY26RXAYH2S}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:35:07.464686Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dd5469149ca49af8034ac6bd1b8307d48fc9fa724df61de6b17a16f86f186fc6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3VKGSFE4USNPQA2KY26RXAYH2S \
| 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: dd5469149ca49af8034ac6bd1b8307d48fc9fa724df61de6b17a16f86f186fc6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2330320505ebe2f4fc23591cb6c73159a569452cb75d839de3d7de61e1062e91",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-10T17:33:52Z",
"title_canon_sha256": "521a3cc4cc18fca856fdb9913416f420fdd96d666e2712e770b8afbe1892ddbb"
},
"schema_version": "1.0",
"source": {
"id": "2507.07949",
"kind": "arxiv",
"version": 1
}
}