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Paper Citation Record · LEDGER

DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.14953.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.14953 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:17:25.978957Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T22:23:51.437399Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 316aab6f-b874-47aa-81b6-c86348739180 · inbound

A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks cites this paper.

A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:23:51.441815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T22:23:51.011858Z digest=sha256:d228bff37bd9dd74e0e672d61e7b7a06e2659e8fdf57b5c890921d129bdb7c69

Observation 5e0337e3-5576-4958-8267-e2edb6266aa5 · inbound

GaitCrafter: Diffusion Model for Biometric Preserving Gait Synthesis cites this paper.

GaitCrafter: Diffusion Model for Biometric Preserving Gait Synthesis DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T17:17:25.978957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:17:25.978957Z digest=sha256:1454c3ab242e2cf72cd9e7db86ef27b8ac6b0e4500668f6abc3cb95d39405147