Paper Citation Record · LEDGER

Auto-Labeling Data for Object Detection

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2506.02359.

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

pith.paper-citation-record.v1
2506.02359 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:29:55.161584Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T02:02:09.645243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:25:44.307324Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy34
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f3e1aa6-ed3d-4ca2-a687-c5defc82c76c · outbound

This paper cites Ai and compute.

Auto-Labeling Data for Object Detection Ai and compute

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.569319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96a17748-53ce-443e-89d4-780b1cf522ca · outbound

This paper cites Weakly supervised deep detection networks.

Auto-Labeling Data for Object Detection Weakly supervised deep detection networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.560106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c15baa66-8218-4b8d-85a4-bb8846dc8255 · outbound

This paper cites End-to- end object detection with transformers.

Auto-Labeling Data for Object Detection End-to- end object detection with transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.551734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20babf3c-d3a7-45c9-afa0-24ce1c64fd8b · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

Auto-Labeling Data for Object Detection Yolo-world: Real-time open-vocabulary object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.544977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 209f9ed7-27ed-466a-b463-041c965734a1 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Auto-Labeling Data for Object Detection The cityscapes dataset for semantic urban scene understanding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.537884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa0378fd-d888-43c8-8a9b-284a5a9cb9b8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Auto-Labeling Data for Object Detection An image is worth 16x16 words: Transformers for image recognition at scale

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.529850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5553f741-c5e7-4b4b-80e2-1191fe188eab · outbound

This paper cites an unresolved cited work.

Auto-Labeling Data for Object Detection Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:29:55.520883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 865c3d7e-c26a-44d1-bd48-962e731d776c · outbound

This paper cites Mobile robot manipulation using pure object detection.

Auto-Labeling Data for Object Detection Mobile robot manipulation using pure object detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.511789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1fbc339-f703-4575-9683-b22f398cc86a · outbound

This paper cites Open-vocabulary object detection via vision and language knowledge distillation.

Auto-Labeling Data for Object Detection Open-vocabulary object detection via vision and language knowledge distillation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.504296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf3b9515-5e86-47bb-a86e-88f978e7c685 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Auto-Labeling Data for Object Detection Lvis: A dataset for large vocabulary instance segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.496642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e116935c-e206-4630-a2e2-ff3ca9bbbec8 · outbound

This paper cites Hudson and Christopher D.

Auto-Labeling Data for Object Detection Hudson and Christopher D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.488919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1680ba0-8da6-4e24-8e3f-3863c2b5821f · outbound

This paper cites Exemplar- freesolo: Enhancing unsupervised instance segmentation with exemplars.

Auto-Labeling Data for Object Detection Exemplar- freesolo: Enhancing unsupervised instance segmentation with exemplars

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.480636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 250f579c-7634-4664-8891-9da8fd987e09 · outbound

This paper cites Predicting suffi- cient annotation strength for interactive foreground segmen- tation.

Auto-Labeling Data for Object Detection Predicting suffi- cient annotation strength for interactive foreground segmen- tation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.472278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d954ac2b-3b68-4acc-af82-3858dfc7723c · outbound

This paper cites Ultralytics yolo11.

Auto-Labeling Data for Object Detection Ultralytics yolo11

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.464615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe44cee5-cc1a-48df-be0a-eed32f51cba5 · outbound

This paper cites Yolo by ultralytics.

Auto-Labeling Data for Object Detection Yolo by ultralytics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.456506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a1e4a5b-ded9-4edf-999d-4e1b06b6ce51 · outbound

This paper cites Mdetr - mod- ulated detection for end-to-end multi-modal understanding.

Auto-Labeling Data for Object Detection Mdetr - mod- ulated detection for end-to-end multi-modal understanding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.449295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b190020-cbf0-4a39-9419-4829649d4bc0 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Auto-Labeling Data for Object Detection Imagenet classification with deep convolutional neural net- works

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.441835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58bf39bc-d58f-4246-bdcc-ab71541e1835 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

Auto-Labeling Data for Object Detection The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.433265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0c7f36e-4902-4ccd-8053-4ab68e8533a6 · outbound

This paper cites Grounded language-image pre-training.

Auto-Labeling Data for Object Detection Grounded language-image pre-training

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.422810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c28bc4ce-270c-4009-9991-8285370d938b · outbound

This paper cites Lawrence Zitnick.

Auto-Labeling Data for Object Detection Lawrence Zitnick

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.414196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11e79724-c233-4d48-acf4-bb42dfe21f74 · outbound

This paper cites Grounding dino: Marry- ing dino with grounded pre-training for open-set object de- tection.

Auto-Labeling Data for Object Detection Grounding dino: Marry- ing dino with grounded pre-training for open-set object de- tection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.405556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00a772ae-9a3b-4f6e-9f57-2082a1c2d238 · outbound

This paper cites an unresolved cited work.

Auto-Labeling Data for Object Detection Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:29:55.397292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb71cc49-e003-400c-bedb-d7c9fbe181b3 · outbound

This paper cites Annotation-free object detection by knowledge-extraction training from visual-language models.

Auto-Labeling Data for Object Detection Annotation-free object detection by knowledge-extraction training from visual-language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.388064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0749a4f-49b6-4767-a4f1-2cfdf8b3bed6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Auto-Labeling Data for Object Detection Learning transferable visual models from natural language supervision

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.380548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18db73cc-9a04-40b6-91e2-d723cb582573 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Auto-Labeling Data for Object Detection Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:54.928644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 886458ea-8e4f-42db-820a-5625fece8149 · outbound

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

Auto-Labeling Data for Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.372395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e76cf4e-6068-4393-be9f-f4150c6d9cda · outbound

This paper cites Object discovery via contrastive learn- ing for weakly supervised object detection.

Auto-Labeling Data for Object Detection Object discovery via contrastive learn- ing for weakly supervised object detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.364397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e8d5fd7-1581-427a-9757-9e6ba1516284 · outbound

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

Auto-Labeling Data for Object Detection Objects365: A large-scale, high-quality dataset for object detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.356226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27375aad-5369-4906-91c3-7339795721c7 · outbound

This paper cites The devil is in the object bound- ary: Towards annotation-free instance segmentation using foundation models.

Auto-Labeling Data for Object Detection The devil is in the object bound- ary: Towards annotation-free instance segmentation using foundation models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.347266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98bc525c-bca8-481f-84e1-4f65a0fb586a · outbound

This paper cites Yolov10: Real-time end- to-end object detection.

Auto-Labeling Data for Object Detection Yolov10: Real-time end- to-end object detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.338867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a36a060-a12e-46cd-b9b2-d72bd23e7cfa · outbound

This paper cites Yoloe: Real-time seeing anything.

Auto-Labeling Data for Object Detection Yoloe: Real-time seeing anything

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:55.133672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1516d13e-b883-4f3b-87dc-f4f4a6b990ef · outbound

This paper cites Yu, and Ishan Misra.

Auto-Labeling Data for Object Detection Yu, and Ishan Misra

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.330481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8183e23-913e-4399-aab4-7ad66848826d · outbound

This paper cites an unresolved cited work.

Auto-Labeling Data for Object Detection Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:29:55.322717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4019532d-3459-4350-84ef-e876080dc3d8 · outbound

This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions.

Auto-Labeling Data for Object Detection From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.314017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed8d7fd1-d7fa-4630-a424-5e0ba3f3ddc0 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Auto-Labeling Data for Object Detection Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:55.144820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 026d35df-e9c3-4bdd-a7df-c1dae4c9a959 · outbound

This paper cites Semi-detr: Semi-supervised object detection with detec- tion transformers.

Auto-Labeling Data for Object Detection Semi-detr: Semi-supervised object detection with detec- tion transformers

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.298266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa1fa6ee-a18f-4c9f-9be3-d1662a352f06 · outbound

This paper cites Dataset condensation with dis- tribution matching.

Auto-Labeling Data for Object Detection Dataset condensation with dis- tribution matching

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.289482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9c40437-fb14-4393-b125-69fe389b63c6 · outbound

This paper cites Detrs beat yolos on real-time object detection.

Auto-Labeling Data for Object Detection Detrs beat yolos on real-time object detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.280690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b2c5923-9ae1-4962-b50a-da54ea3bc65c · outbound

This paper cites Unified vision-language pre- training for image captioning and vqa.

Auto-Labeling Data for Object Detection Unified vision-language pre- training for image captioning and vqa

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.271530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd827bab-14ef-4500-a00c-1c9750cf42d8 · outbound

This paper cites Instant-teaching: An end-to-end semi-supervised ob- ject detection framework.

Auto-Labeling Data for Object Detection Instant-teaching: An end-to-end semi-supervised ob- ject detection framework

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:55.262211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation a20059c5-bcdc-4362-8935-1eb798e26ba5 · inbound

The Label Imitation Game: Turing Test Network for Zero-Shot Pseudo-Label Pruning cites this paper.

The Label Imitation Game: Turing Test Network for Zero-Shot Pseudo-Label Pruning Auto-Labeling Data for Object Detection

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:25:44.308820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.