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Paper Citation Record · LEDGER

Differences in Detection: Explainability Where it Matters

As of 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.07503.

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

pith.paper-citation-record.v1
2606.07503 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:16:56.794120Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b8843a3-d3a2-41a0-8c04-f1e8b59404ee · outbound

This paper cites TIDE: A General Toolbox for Identifying Object Detection Errors.

Differences in Detection: Explainability Where it Matters TIDE: A General Toolbox for Identifying Object Detection Errors

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 65f73962-c094-4e17-b4c9-ba9f77771760 · outbound

This paper cites Empirical Upper Bound in Object Detection and More.

Differences in Detection: Explainability Where it Matters Empirical Upper Bound in Object Detection and More

Reference 2

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arxiv_id, observed 2026-07-02T16:57:09.765481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 11c4f75b-4b41-409b-96bf-13c0e6e4dd37 · outbound

This paper cites Grad-CAM++: General- ized Gradient-Based Visual Explanations for Deep Convolu- tional Networks.

Differences in Detection: Explainability Where it Matters Grad-CAM++: General- ized Gradient-Based Visual Explanations for Deep Convolu- tional Networks

Reference 3

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Observation 67cc2c89-2b48-4053-9bc9-85345d693d6b · outbound

This paper cites Berg, and Alexander Kirillov.

Differences in Detection: Explainability Where it Matters Berg, and Alexander Kirillov

Reference 4

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Observation b6f8cb8a-1e1f-432c-9fc8-cfcdc4b6649b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Differences in Detection: Explainability Where it Matters An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Observation a3adec21-c6d6-49b1-a1dc-d29884c5ea79 · outbound

This paper cites Cubuk, Quoc V.

Differences in Detection: Explainability Where it Matters Cubuk, Quoc V

Reference 6

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Observation 6631763d-c93b-4ed7-92a8-f025d868ac1a · outbound

This paper cites Mask R-CNN.

Differences in Detection: Explainability Where it Matters Mask R-CNN

Reference 7

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source=pdf_text observed=2026-06-27T22:16:56.794120Z digest=sha256:b7891790fa1ce5f90414206c72b6ecda62ca7ac582dd07b6865f626079b1e8cd

Observation e7978658-b4b5-4c11-bfff-2e1b2446112c · outbound

This paper cites Benchmarking Neu- ral Network Robustness to Common Corruptions and Pertur- bations.

Differences in Detection: Explainability Where it Matters Benchmarking Neu- ral Network Robustness to Common Corruptions and Pertur- bations

Reference 8

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source=pdf_text observed=2026-06-27T22:16:56.794120Z digest=sha256:b6c55ca206288c314eb55325bca5c0ce514c2a516749f8034c007dd9b0d5f755

Observation 7f0e6f76-5b56-4f10-bd2e-15dce57c6489 · outbound

This paper cites Exploring Plain Vision Transformer Backbones for Object Detection.

Differences in Detection: Explainability Where it Matters Exploring Plain Vision Transformer Backbones for Object Detection

Reference 9

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Observation 2d575724-c743-4459-a108-b7b033ae53ad · outbound

This paper cites Lawrence Zitnick.

Differences in Detection: Explainability Where it Matters Lawrence Zitnick

Reference 10

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Observation 3bff07cf-a19b-4825-9323-ea4be02676e2 · outbound

This paper cites an unresolved cited work.

Differences in Detection: Explainability Where it Matters Unresolved cited work

Reference 11

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Observation 0b4cd150-78f8-4f71-a88e-897518beaa2d · outbound

This paper cites Michaelis, B.

Differences in Detection: Explainability Where it Matters Michaelis, B

Reference 12

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Observation 079163fd-fc86-4716-8660-0000cd4f473d · outbound

This paper cites Faster-COCO-Eval: Faster interpretation of the original COCOEval, 2024.

Differences in Detection: Explainability Where it Matters Faster-COCO-Eval: Faster interpretation of the original COCOEval, 2024

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 1cb2572b-c8d1-43f8-9242-30685d77fca5 · outbound

This paper cites Morariu, Ashutosh Mehra, Vicente Ordonez, and Kate Saenko.

Differences in Detection: Explainability Where it Matters Morariu, Ashutosh Mehra, Vicente Ordonez, and Kate Saenko

Reference 14

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Observation 46861967-0685-4f7e-84e2-f547a9ef4108 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra.

Differences in Detection: Explainability Where it Matters Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra

Reference 15

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Observation 485067f1-4709-4d1d-8500-0953ab32f64d · outbound

This paper cites Benchmarking Object De- tectors with COCO: A New Path Forward.

Differences in Detection: Explainability Where it Matters Benchmarking Object De- tectors with COCO: A New Path Forward

Reference 16

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Observation f5143c29-4a47-4e14-a136-c88b6853cc07 · outbound

This paper cites Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation.

Differences in Detection: Explainability Where it Matters Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation

Reference 17

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Observation 06118b2e-4db8-43e1-880d-31d86dd3ee45 · outbound

This paper cites ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders.

Differences in Detection: Explainability Where it Matters ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders

Reference 18

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Observation 4e1bcaf5-fd33-4b5a-a22a-f80a5811f099 · outbound

This paper cites Explaining Object Detection Through Difference Map.

Differences in Detection: Explainability Where it Matters Explaining Object Detection Through Difference Map

Reference 19

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Observation 14c5f9ca-6a38-40ab-83ee-d12664f26cc2 · outbound

This paper cites Spatial Sensitive Grad-CAM++: Improved Visual Explanation for Object Detectors via Weighted Combination of Gradient Map.

Differences in Detection: Explainability Where it Matters Spatial Sensitive Grad-CAM++: Improved Visual Explanation for Object Detectors via Weighted Combination of Gradient Map

Reference 20

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Observation fbbe1813-0769-45ef-bda5-a3461af8b291 · outbound

This paper cites Spatial Sensi- tive GRAD-CAM: Visual Explanations for Object Detection by Incorporating Spatial Sensitivity.

Differences in Detection: Explainability Where it Matters Spatial Sensi- tive GRAD-CAM: Visual Explanations for Object Detection by Incorporating Spatial Sensitivity

Reference 21

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Observation ac455691-b06e-4b83-ae7a-3206f640c92d · outbound

This paper cites an unresolved cited work.

Differences in Detection: Explainability Where it Matters Unresolved cited work

Reference 22

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Observation 4861d829-98e6-44b3-b16c-f49fcea8c350 · outbound

This paper cites an unresolved cited work.

Differences in Detection: Explainability Where it Matters Unresolved cited work

Reference 23

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Observation d1036ab3-e1a0-425a-9841-ba2e4c82690e · outbound

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

Differences in Detection: Explainability Where it Matters Benchmarking a Benchmark: How Reliable is MS-COCO?

Reference 24

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verified exact
arxiv_id, observed 2026-07-02T16:57:09.768773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T22:16:56.794120Z digest=sha256:e970a2a3eb48c2fb5955429d05757e13b67f632e7c462c5a1bb1555ac84029a2

Pith citing papers

No inbound Pith citation observations are available.