Pith Number

pith:PSBMLNNJ

pith:2023:PSBMLNNJ5QBQINCPTOFQ26EBXS

not attested not anchored not stored refs pending

DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition

Beibei Lin, Lincheng Li, Ming Wang, Shunli Zhang, Tian Yang, Xianda Guo, Xin Yu, Zheng Zhu

arxiv:2303.14953 v1 · 2023-03-27 · cs.CV

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\usepackage{pith}
\pithnumber{PSBMLNNJ5QBQINCPTOFQ26EBXS}

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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.

Cited by

1 paper in Pith

A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks

Receipt and verification

First computed	2026-07-05T05:54:48.214140Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7c82c5b5a9ec0304344f9b8b0d7881bca1c2b2378bf51aca77331aa163a3655d

Aliases

arxiv: 2303.14953 · arxiv_version: 2303.14953v1 · doi: 10.48550/arxiv.2303.14953 · pith_short_12: PSBMLNNJ5QBQ · pith_short_16: PSBMLNNJ5QBQINCP · pith_short_8: PSBMLNNJ

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/PSBMLNNJ5QBQINCPTOFQ26EBXS \
  | 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: 7c82c5b5a9ec0304344f9b8b0d7881bca1c2b2378bf51aca77331aa163a3655d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "af78cc592556600ae71eb927fe148b2d638400b803353d115e61c92e15fc9188",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-03-27T07:36:47Z",
    "title_canon_sha256": "040249e569290b02d64865ca413947197c2b71bb5885edca433742b1e6f21d59"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2303.14953",
    "kind": "arxiv",
    "version": 1
  }
}