Paper Citation Record · LEDGER

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.00997.

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

pith.paper-citation-record.v1
2506.00997 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:59:08.711344Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy29
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fb0f9a3-8eac-41ab-acca-f7c00fa4adf1 · outbound

This paper cites Tide: A general toolbox for identifying object detection errors,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Tide: A general toolbox for identifying object detection errors,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:14.782905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64b26199-7885-4ce4-b0ba-9fa5b002c07b · outbound

This paper cites A trainable pedestrian detection system,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns A trainable pedestrian detection system,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:14.639742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 403737e3-7a99-4f82-874e-1d0b2513c4c8 · outbound

This paper cites Histograms of oriented gradients for human detection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Histograms of oriented gradients for human detection,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:04.526144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2af2829-8665-49cd-b588-41789cc225e7 · outbound

This paper cites The 2005 pascal visual object classes challenge,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The 2005 pascal visual object classes challenge,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:14.468321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b741d05-698e-4959-8f9f-8ae1c0a9a313 · outbound

This paper cites The pascal visual object classes challenge 2012 (voc2012) development kit,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The pascal visual object classes challenge 2012 (voc2012) development kit,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:14.305950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 183a7fb1-691b-4c4a-97d4-db01ccb0dd84 · outbound

This paper cites MS COCO: Common Objects in Context,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns MS COCO: Common Objects in Context,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:14.106513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1dc6252-827d-4d3a-962c-b86b4e285308 · outbound

This paper cites Benchmarking a Benchmark: How Reliable is MS-COCO?.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Benchmarking a Benchmark: How Reliable is MS-COCO?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:05.044782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53894d20-cb13-45e3-9561-533bb11a621b · outbound

This paper cites The effect of improving annotation quality on object detection datasets: A preliminary study,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The effect of improving annotation quality on object detection datasets: A preliminary study,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:13.921610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd500dde-3a13-496c-b516-76e3834bd859 · outbound

This paper cites The pascal visual object classes challenge 2006 (voc 2006) results (technical report). september 2006,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The pascal visual object classes challenge 2006 (voc 2006) results (technical report). september 2006,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:13.769034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2b5065d-5c7a-428c-af26-d5c2198dde7b · outbound

This paper cites The pascal visual object classes challenge 2007 (voc 2007) results (2007),.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The pascal visual object classes challenge 2007 (voc 2007) results (2007),

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:13.574318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a622fb98-ac2d-4b32-a066-ed25a8e1cee4 · outbound

This paper cites Pascal voc 2008 challenge,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Pascal voc 2008 challenge,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:13.385156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d39c9040-f6b4-4f0b-8f83-05e56a2f40bd · outbound

This paper cites The pascal visual object classes challenge 2009 (voc2009) results. http,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The pascal visual object classes challenge 2009 (voc2009) results. http,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:13.276360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e09fed70-dbc1-46e0-9423-dd9def3b507f · outbound

This paper cites The pascal visual object classes (voc) chal- lenge,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The pascal visual object classes (voc) chal- lenge,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:13.134313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bbb9c86-2beb-4aa1-bf36-8070577da2d7 · outbound

This paper cites The pascal visual object classes challenge 2011 (voc2011) results, 2011< http://www. pascal-network. org/challenges,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns The pascal visual object classes challenge 2011 (voc2011) results, 2011< http://www. pascal-network. org/challenges,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:12.981518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c9a0bc6f-cadf-46a3-99b5-2280799826c1 · outbound

This paper cites Imbalance problems in object detection: A review,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Imbalance problems in object detection: A review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:12.830341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0ebbace-e77d-453f-98fe-eb3d5c5ea4cf · outbound

This paper cites Breaking beyond coco object detection.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Breaking beyond coco object detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:12.566194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4680cbb8-44fa-4d30-821b-ec402896fb6e · outbound

This paper cites Rethinking pascal-voc and ms-coco dataset for small object detection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Rethinking pascal-voc and ms-coco dataset for small object detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:12.398684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 552e095d-5ca8-4298-a0f1-798b4d37a379 · outbound

This paper cites Diagnosing State-Of-The-Art Object Proposal Methods.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Diagnosing State-Of-The-Art Object Proposal Methods

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:59:08.992631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52a0a048-ef9c-4cfd-a057-0638de11ae8e · outbound

This paper cites Can we trust bounding box annotations for object detection?.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Can we trust bounding box annotations for object detection?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:12.269514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85d0ff15-e655-4f32-a5e9-40449cab02fb · outbound

This paper cites ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:06.491540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cead1d19-11ae-4059-9e48-7fadb8d3af95 · outbound

This paper cites Identifying label errors in object detection datasets by loss inspection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Identifying label errors in object detection datasets by loss inspection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:12.082296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f93f7079-7059-42d8-b79e-c25d54592080 · outbound

This paper cites Training robust object detectors from noisy category labels and imprecise bounding boxes,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Training robust object detectors from noisy category labels and imprecise bounding boxes,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:11.841321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6c9664b-ea20-4bc6-a705-41f940e35d6e · outbound

This paper cites Robust object detection with inaccurate bounding boxes,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Robust object detection with inaccurate bounding boxes,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:11.571980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac3efe40-2a24-4d6c-ac30-dcb949aeb566 · outbound

This paper cites Pseco: Pseudo labeling and consistency training for semi-supervised object detection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Pseco: Pseudo labeling and consistency training for semi-supervised object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:11.354652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9a6457d-c4ea-457c-b517-d2d219660edf · outbound

This paper cites Dense teacher: Dense pseudo-labels for semi-supervised ob- ject detection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Dense teacher: Dense pseudo-labels for semi-supervised ob- ject detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:11.137104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e1249ba-f420-4d43-b205-64be8c7103e6 · outbound

This paper cites Pseudo-label enhancement for weakly supervised object detection using self- supervised vision transformer,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Pseudo-label enhancement for weakly supervised object detection using self- supervised vision transformer,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:10.870016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 421b8526-9c04-4e7d-9b7b-cfdc649b6c81 · outbound

This paper cites Enhancing few-shot object detection through pseudo-label mining,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Enhancing few-shot object detection through pseudo-label mining,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:10.607343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb5d0077-059f-4fbe-a96c-986e19b09d15 · outbound

This paper cites Faster r-cnn: To- wards real-time object detection with region proposal networks,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Faster r-cnn: To- wards real-time object detection with region proposal networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:07.487405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c4cd5e-5283-4f4c-86aa-42b1c9090758 · outbound

This paper cites Microsoft coco: Common objects in context,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Microsoft coco: Common objects in context,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:10.390663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 60d9b03f-26a5-4d8d-a051-2d5e711c8452 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns YOLOX: Exceeding YOLO Series in 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:07.696944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee7bf0c-4a69-4ee7-b452-8622359b5e36 · outbound

This paper cites Focal loss for dense object detection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Focal loss for dense object detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:10.167208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ade7a0a5-eb4f-4b61-be5b-1ec7fa0fef52 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Objects365: A large-scale, high-quality dataset for object detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:09.936121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4af5539d-121b-427c-874d-65a93436f789 · outbound

This paper cites Caltech-256 object category dataset,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Caltech-256 object category dataset,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:09.727512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a03e5c4e-7eb6-483d-9c5d-34dfa6f04417 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Imagenet: A large-scale hierarchical image database,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:08.136596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2993d1-8e74-4286-9f13-ba51eb4f8037 · outbound

This paper cites Cifar-10 (canadian institute for advanced research),.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Cifar-10 (canadian institute for advanced research),

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:09.408158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a263a695-870e-40b6-b1bf-eaccf80f9beb · outbound

This paper cites Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:08.343930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22c3eee-4069-4f8f-b106-c1702f0d2e25 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns YOLOv3: An Incremental Improvement

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:08.480322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5290c3ab-9559-4473-90e4-edceb6b956dd · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:08.589473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1ca059-7075-4de4-adc7-7398375ac90d · outbound

This paper cites Libra r-cnn: Towards balanced learning for object detection,.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Libra r-cnn: Towards balanced learning for object detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:59:09.174525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.