Pith Number
pith:E23UCOAX
pith:2022:E23UCOAXGARW7VZNFCZZFLEGGL
not attested
not anchored
not stored
refs pending
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
arxiv:2202.07909 v1 · 2022-02-16 · cs.LG · cs.CV · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E23UCOAXGARW7VZNFCZZFLEGGL}
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Record completeness
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Bitcoin timestamp
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4
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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 | 2026-07-05T03:57:35.049755Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
26b741381730236fd72d28b392ac8632ff5a4db4d5c32b8769e2b77832c664cd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E23UCOAXGARW7VZNFCZZFLEGGL \
| 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: 26b741381730236fd72d28b392ac8632ff5a4db4d5c32b8769e2b77832c664cd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "96907c7d11bd79def2900d03b901b6ad59109cf87f8d86ddc4aa21fb1f91fbc2",
"cross_cats_sorted": [
"cs.CV",
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-16T07:43:08Z",
"title_canon_sha256": "681297c413ac233efdaef6e68f4e3e14cb25d8e907abe893636d2f60f587b6d2"
},
"schema_version": "1.0",
"source": {
"id": "2202.07909",
"kind": "arxiv",
"version": 1
}
}