Pith Number
pith:55OMEIYH
pith:2024:55OMEIYHGFGFQC4GZ65UALAQQ4
not attested
not anchored
not stored
refs pending
Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition
arxiv:2401.12210 v1 · 2024-01-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{55OMEIYHGFGFQC4GZ65UALAQQ4}
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
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4
Citations
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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 | 2026-07-05T07:36:17.020017Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ef5cc22307314c580b86cfbb402c108709e74a9e0d1863eeadaabef91a29f78c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/55OMEIYHGFGFQC4GZ65UALAQQ4 \
| 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: ef5cc22307314c580b86cfbb402c108709e74a9e0d1863eeadaabef91a29f78c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0bfd496b566ff4372764a5cf5f19c3be91abbac438d0ceaaf0dab7944cc4a923",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-01-22T18:52:51Z",
"title_canon_sha256": "59ab1a03be8819024044b8185be97fb6d567feeed0d1f29dfc729fffe6e8507e"
},
"schema_version": "1.0",
"source": {
"id": "2401.12210",
"kind": "arxiv",
"version": 1
}
}