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Paper Citation Record · LEDGER

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.11909.

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

pith.paper-citation-record.v1
2005.11909 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:27:01.203786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.569583Z

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 646c56d3-f8b7-4b20-87f6-450ec72d2e92 · inbound

DAPL: Integration of Positive and Negative Descriptions in Text-Based Person Search cites this paper.

DAPL: Integration of Positive and Negative Descriptions in Text-Based Person Search Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:08:41.435394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-24T01:07:56.726274Z digest=sha256:b2f34f9db249ca846bdee98f1a75952147a40e9edeaa58883066eaf6e3e7e695

Observation 5b9f7270-d91e-4ee3-b60d-2de5266ec12c · inbound

Real-time pedestrian attribute recognition with YOLOv8 and ResNet18 cites this paper.

Real-time pedestrian attribute recognition with YOLOv8 and ResNet18 Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:37.571056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T14:27:01.203786Z digest=sha256:be45e9c624d168186d8c85127b17a77dfce113ac686ab506a359f7e440961c89