Pith. sign in
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?

Georg Hess, Henk Wymeersch, Juliano Pinto, Lennart Svensson, William Ljungbergh, Yuxuan Xia

arxiv:2202.07909 v1 · 2022-02-16 · cs.LG · cs.CV · cs.SY · eess.SY

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E23UCOAXGARW7VZNFCZZFLEGGL}

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2202.07909 · arxiv_version: 2202.07909v1 · doi: 10.48550/arxiv.2202.07909 · pith_short_12: E23UCOAXGARW · pith_short_16: E23UCOAXGARW7VZN · pith_short_8: E23UCOAX
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
  }
}