Paper Citation Record · LEDGER

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays

As of 15 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.04058.

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

pith.paper-citation-record.v1
2506.04058 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:14.056107Z

measured 13 of 13 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

13 of 13 outbound references displayed

verified exact2
verified fuzzy5
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3c0379b-a5db-48e3-ac57-708ebc168d52 · outbound

This paper cites Sanity checks for saliency maps.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Sanity checks for saliency maps

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:12.408773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908dbd6a-3933-4b44-b2ab-5b2b38ba1ee8 · outbound

This paper cites CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:12.516660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ec5c15b-ebaa-4dfb-9b32-33fc4308b62d · outbound

This paper cites Diffusion visual counterfactual explanations.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Diffusion visual counterfactual explanations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:16.134263Z

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 7bbabb5b-2066-4b4b-99c9-2bb3f0adc19b · outbound

This paper cites Gifsplanation via latent shift: a simple autoencoder approach to counterfactual generation for chest x-rays.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Gifsplanation via latent shift: a simple autoencoder approach to counterfactual generation for chest x-rays

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:15.944179Z

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 e1b5cb6b-b063-4f7b-bc4e-675628c998b6 · outbound

This paper cites Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, and Hadrien Bertrand.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, and Hadrien Bertrand

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:15.655374Z

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 bf3c4740-b3bd-494f-9e74-ee39a95b0798 · outbound

This paper cites Towards Benchmarking Explainable Artificial Intelligence Methods.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Towards Benchmarking Explainable Artificial Intelligence Methods

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:53:14.640896Z

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 2fbccdc5-f246-41b7-9e21-2727a0277c1e · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:13.165311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4cb6a1-13fe-4f9d-a6fa-0422b962205d · outbound

This paper cites Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav).

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:13.302053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be947e66-931a-4ff9-b855-7c3b6376ecd8 · outbound

This paper cites In-context vectors: making in context learning more effective and controllable through latent space steering.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays In-context vectors: making in context learning more effective and controllable through latent space steering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:15.313982Z

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 592615f1-4049-4558-a9b7-afc1f63d3239 · outbound

This paper cites An overview of the empirical evaluation of explainable ai (xai): A comprehensive guideline for user-centered evaluation in xai.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays An overview of the empirical evaluation of explainable ai (xai): A comprehensive guideline for user-centered evaluation in xai

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:13.658565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 543b8a54-397f-4a9d-99fc-f3a7c6086489 · outbound

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

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:14.961350Z

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 d2e6cf9e-d967-4ede-b85b-34ebe168ea8f · outbound

This paper cites Saliency is a Possible Red Herring When Diagnosing Poor Generalization.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:53:14.357151Z

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 bd428a71-8163-485f-8f6e-0057fac39f39 · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:14.056107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.