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Paper Citation Record · LEDGER

Focusing Image Generation to Mitigate Spurious Correlations

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.19457.

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

pith.paper-citation-record.v1
2412.19457 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:39:10.889974Z

measured 28 of 28 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

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved9
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae7cbc0e-53cc-4e87-a5dd-4141562964c2 · outbound

This paper cites Learning de-biased representations with biased representations,.

Focusing Image Generation to Mitigate Spurious Correlations Learning de-biased representations with biased representations,

Reference 1

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verified fuzzy
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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.

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Observation 4de7f12f-e678-4b51-81d7-3ce884c0bc14 · outbound

This paper cites Spuriousness-aware meta- learning for learning robust classifiers,.

Focusing Image Generation to Mitigate Spurious Correlations Spuriousness-aware meta- learning for learning robust classifiers,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a8fbc5fd-84ca-4289-b2c2-16c1035dbd2e · outbound

This paper cites Spurious correlations in machine learning: A survey,.

Focusing Image Generation to Mitigate Spurious Correlations Spurious correlations in machine learning: A survey,

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 6653324d-2d91-431a-912c-002587806437 · outbound

This paper cites Towards accuracy-fairness paradox: Adversarial example-based data augmentation for visual debiasing,.

Focusing Image Generation to Mitigate Spurious Correlations Towards accuracy-fairness paradox: Adversarial example-based data augmentation for visual debiasing,

Reference 5

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Unavailable: canonical work link unavailable.

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Observation 62a106ca-e419-422b-8c63-2c03b14f4a0c · outbound

This paper cites Discover and cure: Concept-aware mitigation of spurious correlation,.

Focusing Image Generation to Mitigate Spurious Correlations Discover and cure: Concept-aware mitigation of spurious correlation,

Reference 6

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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.

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Observation a2ca3b4b-3884-4620-b218-561709fd2e0e · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Focusing Image Generation to Mitigate Spurious Correlations High- resolution image synthesis with latent diffusion models,

Reference 7

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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.

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Observation 173eedec-86b6-4802-9f6a-8244d30755d8 · outbound

This paper cites Learning not to learn: Training deep neural networks with biased data,.

Focusing Image Generation to Mitigate Spurious Correlations Learning not to learn: Training deep neural networks with biased data,

Reference 8

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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.

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Observation b3f3854f-0a19-4cfd-9393-d602c829994b · outbound

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

Focusing Image Generation to Mitigate Spurious Correlations Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 9

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Unavailable: canonical work link unavailable.

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Observation 467c7862-9298-4f3f-bff8-74228c233d80 · outbound

This paper cites Semanticadv: Gen- erating adversarial examples via attribute-conditioned image editing,.

Focusing Image Generation to Mitigate Spurious Correlations Semanticadv: Gen- erating adversarial examples via attribute-conditioned image editing,

Reference 10

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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.

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Observation 64b51488-873b-4560-a34a-6b21a8816b4d · outbound

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

Focusing Image Generation to Mitigate Spurious Correlations Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 85c9339b-fb73-4b95-8b19-9260bbfb8094 · outbound

This paper cites Environment inference for invariant learning,.

Focusing Image Generation to Mitigate Spurious Correlations Environment inference for invariant learning,

Reference 12

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Source-reported events for the cited work

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Observation 1fcc9186-d3d3-41b6-aecc-3de30a4715ce · outbound

This paper cites Just train twice: Improving group robustness without training group information,.

Focusing Image Generation to Mitigate Spurious Correlations Just train twice: Improving group robustness without training group information,

Reference 13

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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.

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Observation ee28287a-cdbe-4bac-9e6f-5c2dda4d5b25 · outbound

This paper cites Learning debiased representation via disentangled feature augmentation,.

Focusing Image Generation to Mitigate Spurious Correlations Learning debiased representation via disentangled feature augmentation,

Reference 14

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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.

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Observation 4b46ddc1-eb39-4ace-a113-ed1d4a3eb11c · outbound

This paper cites Learning deep features for discriminative localization,.

Focusing Image Generation to Mitigate Spurious Correlations Learning deep features for discriminative localization,

Reference 15

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Source-reported events for the cited work

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Observation bf88749c-b88a-4521-afe9-6d365c6e3657 · outbound

This paper cites Metashift: A dataset of datasets for evaluating contextual distribution shifts and training conflicts,.

Focusing Image Generation to Mitigate Spurious Correlations Metashift: A dataset of datasets for evaluating contextual distribution shifts and training conflicts,

Reference 16

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verified fuzzy
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Source-reported events for the cited work

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Observation 7e4bf092-cd1f-491e-ade4-375f9fec4426 · outbound

This paper cites Deep learning face attributes in the wild,.

Focusing Image Generation to Mitigate Spurious Correlations Deep learning face attributes in the wild,

Reference 17

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Source-reported events for the cited work

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Observation 01d7773f-34be-4c6b-9c60-4f1b87b03685 · outbound

This paper cites Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,.

Focusing Image Generation to Mitigate Spurious Correlations Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,

Reference 18

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Source-reported events for the cited work

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Observation ab683ea6-514c-4a17-b513-b728d299ab3b · outbound

This paper cites Some methods for classification and analysis of multi- variate observations,.

Focusing Image Generation to Mitigate Spurious Correlations Some methods for classification and analysis of multi- variate observations,

Reference 19

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Source-reported events for the cited work

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Observation fa3907af-3088-4c2e-ac4a-37ad159374d2 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Focusing Image Generation to Mitigate Spurious Correlations Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 20

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Source-reported events for the cited work

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Observation d6a1a1d2-6717-4d4b-9baf-54781d7edb1e · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Focusing Image Generation to Mitigate Spurious Correlations Learning transferable visual models from natural language supervi- sion,

Reference 21

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Observation a6ca57be-086f-4f9b-bf26-63413463463d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Focusing Image Generation to Mitigate Spurious Correlations U-net: Convolutional networks for biomedical image segmentation,

Reference 22

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Observation a2477caf-feec-4bdc-869c-7080f205a448 · outbound

This paper cites Improving out-of-distribution robustness via selective augmentation,.

Focusing Image Generation to Mitigate Spurious Correlations Improving out-of-distribution robustness via selective augmentation,

Reference 23

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Source-reported events for the cited work

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Observation 581d6119-4617-41b9-ac58-8ab989f3e401 · outbound

This paper cites Learning from failure: De-biasing classifier from biased classifier,.

Focusing Image Generation to Mitigate Spurious Correlations Learning from failure: De-biasing classifier from biased classifier,

Reference 24

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Source-reported events for the cited work

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Observation 557858ae-7b05-4ddb-a16a-9a060d79ac13 · outbound

This paper cites Masktune: Mitigating spurious correlations by forc- ing to explore,.

Focusing Image Generation to Mitigate Spurious Correlations Masktune: Mitigating spurious correlations by forc- ing to explore,

Reference 25

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Source-reported events for the cited work

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Observation aad56147-9da7-4bcb-8e0f-836b675b7335 · outbound

This paper cites Deep residual learning for image recognition,.

Focusing Image Generation to Mitigate Spurious Correlations Deep residual learning for image recognition,

Reference 26

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Observation 7c969ca3-e578-43d9-80e8-20e4bb05023e · outbound

This paper cites 6781–6792.

Focusing Image Generation to Mitigate Spurious Correlations 6781–6792

Reference 139

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Source-reported events for the cited work

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Observation 5e6b795d-3705-445d-b15c-405d6d7851e1 · outbound

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Focusing Image Generation to Mitigate Spurious Correlations 25 407–25 437

Reference 162

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Source-reported events for the cited work

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Observation 0219d8e6-8f68-4c7b-bb40-1a7e55b66010 · outbound

This paper cites Available: https://doi.org/10.48550/arXiv.2402.12715.

Focusing Image Generation to Mitigate Spurious Correlations Available: https://doi.org/10.48550/arXiv.2402.12715

Reference 2024

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