Paper Citation Record · LEDGER

Machine Learning from Explanations

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.04788.

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

pith.paper-citation-record.v1
2507.04788 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:34.573259Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

verified exact2
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8331e28-6e07-4689-802e-e3b140a1cdb4 · outbound

This paper cites Optimizing Relevance Maps of Vision Transformers Improves Robustness.

Machine Learning from Explanations Optimizing Relevance Maps of Vision Transformers Improves Robustness

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:45:34.738788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59690f91-64f5-4f79-bbac-02b78fa21b59 · outbound

This paper cites Learning credible deep neural networks with rationale regularization.

Machine Learning from Explanations Learning credible deep neural networks with rationale regularization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:34.837026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54e728f4-c489-4fb5-b742-4a3f8337ea43 · outbound

This paper cites Swin Transformer V2: Scaling Up Capacity and Resolution.

Machine Learning from Explanations Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:34.541552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875329a8-a5ee-42ca-a714-047af2dcbde3 · outbound

This paper cites Do input gradients highlight discriminative features?Advances in Neural Information Processing Systems, 34:2046–2059,.

Machine Learning from Explanations Do input gradients highlight discriminative features?Advances in Neural Information Processing Systems, 34:2046–2059,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:34.821687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a6d6df9-9eff-4803-8b6e-af3aa8d218af · outbound

This paper cites Coping with Label Shift via Distributionally Robust Optimisation.

Machine Learning from Explanations Coping with Label Shift via Distributionally Robust Optimisation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:45:34.617545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b72bdfe2-3687-4da9-b5da-6c4306752b08 · outbound

This paper cites The explanation is then represented as a mask highlighting the vertex and a portion of the bottom line.

Machine Learning from Explanations The explanation is then represented as a mask highlighting the vertex and a portion of the bottom line

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:34.788664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5a102e46-144d-4e77-8a2d-f24517eaa033 · outbound

This paper cites 12 Machine Learning from Explanations B.

Machine Learning from Explanations 12 Machine Learning from Explanations B

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:34.771575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f7b3595-f58c-4c01-99e6-aa53c0ba5fcd · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Machine Learning from Explanations The caltech-ucsd birds-200-2011 dataset

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:34.805781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a54fed7-f0b6-4b0f-9adf-a9ac550610a3 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Machine Learning from Explanations Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:34.546780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25c1a9f4-5388-41cb-8453-c4f50a751c10 · outbound

This paper cites Invariant Risk Minimization.

Machine Learning from Explanations Invariant Risk Minimization

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:34.504647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41fec255-07a3-4719-bf62-3982bcba2122 · outbound

This paper cites A Typology for Exploring the Mitigation of Shortcut Behavior.

Machine Learning from Explanations A Typology for Exploring the Mitigation of Shortcut Behavior

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:34.531652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa865ec-db71-4e6e-9055-aec49cf91d16 · outbound

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

Machine Learning from Explanations An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:34.520977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9252e468-db99-46b5-8987-34649c7989e2 · outbound

This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

Machine Learning from Explanations Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:34.536670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f97dfb09-2fc6-40d3-a144-7ddbd9701bf3 · outbound

This paper cites Underspecification Presents Challenges for Credibility in Modern Machine Learning.

Machine Learning from Explanations Underspecification Presents Challenges for Credibility in Modern Machine Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:34.515443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.