Pith Number
pith:T4RHEXSM
pith:2024:T4RHEXSMREXO2L3GA3JWKIOZFP
not attested
not anchored
not stored
refs pending
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach
arxiv:2408.13723 v1 · 2024-08-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T4RHEXSMREXO2L3GA3JWKIOZFP}
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 | 2026-07-05T10:44:15.672182Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f22725e4c892eed2f6606d36521d92bdc60e3f2cb7df1c9730d92d957ca8ca9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T4RHEXSMREXO2L3GA3JWKIOZFP \
| 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: 9f22725e4c892eed2f6606d36521d92bdc60e3f2cb7df1c9730d92d957ca8ca9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f7f8d86293f5e0fdf72d2a3ec922a51dc77c1e745a69808975134b3eee0c207",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-08-25T04:55:42Z",
"title_canon_sha256": "b27d89ddec505bb5af01c8fd9af64852706586c7ebec763e837acb72401ef145"
},
"schema_version": "1.0",
"source": {
"id": "2408.13723",
"kind": "arxiv",
"version": 1
}
}