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Paper Citation Record · LEDGER

Mitigating Spurious Correlations with Causal Logit Perturbation

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.15246.

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

pith.paper-citation-record.v1
2505.15246 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:51.430081Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy51
  • unresolved3
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fbf4110-ddab-45b9-ad7e-e5414e065bb9 · outbound

This paper cites Invariant Risk Minimization.

Mitigating Spurious Correlations with Causal Logit Perturbation Invariant Risk Minimization

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92558aa9-4aae-4732-8d65-4d916520e2b2 · outbound

This paper cites Invariance principle meets infor- mation bottleneck for out-of-distribution generalization.

Mitigating Spurious Correlations with Causal Logit Perturbation Invariance principle meets infor- mation bottleneck for out-of-distribution generalization

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9bee2746-1f1c-4ce2-8070-68dff1cb203f · outbound

This paper cites Out-of-distribution gener- alization via risk extrapolation (REx).

Mitigating Spurious Correlations with Causal Logit Perturbation Out-of-distribution gener- alization via risk extrapolation (REx)

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1e495ccf-22f0-47b8-a6c6-d7d54b7546ca · outbound

This paper cites Deep CORAL: Correlation alignment for deep domain adaptation.

Mitigating Spurious Correlations with Causal Logit Perturbation Deep CORAL: Correlation alignment for deep domain adaptation

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 023a923e-ec62-4cd4-990e-e88abe0ec1aa · outbound

This paper cites Counterfactual generative networks.

Mitigating Spurious Correlations with Causal Logit Perturbation Counterfactual generative networks

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0bb1afb0-fc47-4047-808a-9978e22e3eb7 · outbound

This paper cites Towards robust classification model by counterfactual and invariant data generation.

Mitigating Spurious Correlations with Causal Logit Perturbation Towards robust classification model by counterfactual and invariant data generation

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 49db609c-a692-439c-af1c-d7437965c1ef · outbound

This paper cites Long-tail learning via logit adjustment.

Mitigating Spurious Correlations with Causal Logit Perturbation Long-tail learning via logit adjustment

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 00c2d13e-37ff-406d-95a9-b8998a122993 · outbound

This paper cites Learning imbalanced datasets with label- distribution-aware margin loss.

Mitigating Spurious Correlations with Causal Logit Perturbation Learning imbalanced datasets with label- distribution-aware margin loss

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dfd110cf-1c23-4f01-a559-3e146ebe0c1e · outbound

This paper cites Class-level logit perturbation.

Mitigating Spurious Correlations with Causal Logit Perturbation Class-level logit perturbation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3b60646a-e82f-4e59-a91d-c853ef534de9 · outbound

This paper cites Causality for Machine Learning.

Mitigating Spurious Correlations with Causal Logit Perturbation Causality for Machine Learning

Reference 10

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no resolver link, observed 2026-08-07T15:26:47.081246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 54820d4b-7855-440b-a6fe-be1695d08876 · outbound

This paper cites Correct-N-Contrast: a con- trastive approach for improving robustness to spurious correlations.

Mitigating Spurious Correlations with Causal Logit Perturbation Correct-N-Contrast: a con- trastive approach for improving robustness to spurious correlations

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d5c71f6b-5027-435e-a97f-49df691715c1 · outbound

This paper cites Augmentation by counterfac- tual explanation-fixing an overconfident classifier.

Mitigating Spurious Correlations with Causal Logit Perturbation Augmentation by counterfac- tual explanation-fixing an overconfident classifier

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 920dd33e-9b1e-4071-b4cc-5a72c7584d37 · outbound

This paper cites Robust learning with pro- gressive data expansion against spurious correlation.

Mitigating Spurious Correlations with Causal Logit Perturbation Robust learning with pro- gressive data expansion against spurious correlation

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1fe01761-ecf7-4f0c-97f5-de8896464507 · outbound

This paper cites Generative interventions for causal learning.

Mitigating Spurious Correlations with Causal Logit Perturbation Generative interventions for causal learning

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f638ab9c-4d06-4b79-80a1-dd7d62bd4a53 · outbound

This paper cites Adjusting logit in Gaussian form for fong-tailed visual recognition.

Mitigating Spurious Correlations with Causal Logit Perturbation Adjusting logit in Gaussian form for fong-tailed visual recognition

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:59.076057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2e16dd78-8f2c-4928-b8f2-927f24d4e116 · outbound

This paper cites Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning.

Mitigating Spurious Correlations with Causal Logit Perturbation Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T15:26:58.910324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b5ccc654-c327-4c55-b872-94c2de4316f6 · outbound

This paper cites Adaptive logit adjustment loss for long- tailed visual recognition.

Mitigating Spurious Correlations with Causal Logit Perturbation Adaptive logit adjustment loss for long- tailed visual recognition

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation db0d98d6-21e1-4f4f-8fd2-51b6b0e03931 · outbound

This paper cites Imagine by reasoning: A reasoning- based implicit semantic data augmentation for long-tailed classification.

Mitigating Spurious Correlations with Causal Logit Perturbation Imagine by reasoning: A reasoning- based implicit semantic data augmentation for long-tailed classification

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d965f9ae-6fb2-44bb-a8f4-d63601fdace2 · outbound

This paper cites Model-agnostic meta-learning for fast adap- tation of deep networks.

Mitigating Spurious Correlations with Causal Logit Perturbation Model-agnostic meta-learning for fast adap- tation of deep networks

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 70ed18e4-43fc-4e85-b516-7b17a4562bc7 · outbound

This paper cites MetaSAug: Meta semantic augmentation for long-tailed visual recognition.

Mitigating Spurious Correlations with Causal Logit Perturbation MetaSAug: Meta semantic augmentation for long-tailed visual recognition

Reference 20

Resolution
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raw_fallback, observed 2026-08-07T15:26:58.397430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 91eef5b0-2591-4a81-a474-ee757e603fbe · outbound

This paper cites Meta-Weight-Net: Learning an explicit map- ping for sample weighting.

Mitigating Spurious Correlations with Causal Logit Perturbation Meta-Weight-Net: Learning an explicit map- ping for sample weighting

Reference 21

Resolution
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raw_fallback, observed 2026-08-07T15:26:58.253929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:48.187999Z digest=sha256:184a875e655c9390e52b1ecb06bcd36f9c13ac7d00c229f27ace07ed7f3f4581

Observation 18517678-619c-4753-a637-f081c79ee606 · outbound

This paper cites Focal loss for dense object de- tection.

Mitigating Spurious Correlations with Causal Logit Perturbation Focal loss for dense object de- tection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:58.112189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 15095f25-3ef4-49ed-bf0b-bf93e9e4678e · outbound

This paper cites Long-tailed recognition via weight balancing.

Mitigating Spurious Correlations with Causal Logit Perturbation Long-tailed recognition via weight balancing

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:57.906061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:48.463315Z digest=sha256:d865793a401e146258d149300513a112f560491153a2a67b8871bf71b23f8c47

Observation 21a9773d-e822-453e-92af-b4f7de9d0f64 · outbound

This paper cites Attention-guided hierarchical structure aggregation for image matting.

Mitigating Spurious Correlations with Causal Logit Perturbation Attention-guided hierarchical structure aggregation for image matting

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:57.755089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:48.636217Z digest=sha256:06d7f667bacb48a95f67c90c133a18ea0d5d782093f57b307830e809f58218b6

Observation 9df7c155-b5e2-411a-be0c-31ed3b9f1683 · outbound

This paper cites Class-balanced loss based on effective number of samples.

Mitigating Spurious Correlations with Causal Logit Perturbation Class-balanced loss based on effective number of samples

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:57.563179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:48.766548Z digest=sha256:74c0f9544e54fc2b590efd3fea38ecaeee5b617d2d64b4a5d8ec5f1287a92f43

Observation fbf353ff-e8fb-4c7f-b1df-4e38c0a8c2f1 · outbound

This paper cites Combining adversaries with anti-adversaries in training.

Mitigating Spurious Correlations with Causal Logit Perturbation Combining adversaries with anti-adversaries in training

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:57.376494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:48.830675Z digest=sha256:e95b11f4930ee9223dfe6a08fdd4648095563fbecd00998e22e41343a5239259

Observation 52bbe8a7-4410-4385-8c68-65e518634d53 · outbound

This paper cites Implicit Counterfactual Data Augmentation for Robust Learning.

Mitigating Spurious Correlations with Causal Logit Perturbation Implicit Counterfactual Data Augmentation for Robust Learning

Reference 27

Resolution
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no resolver link, observed 2026-08-07T15:26:48.892782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:48.892782Z digest=sha256:70d357133ef582a798d3ce1a77334b4953ebc16335ebad04a7b6f8c2d62ccb1c

Observation 9ddb72e5-63da-46ba-b362-4c3360f28d2c · outbound

This paper cites Valuing training data via causal inference for in-context learning.

Mitigating Spurious Correlations with Causal Logit Perturbation Valuing training data via causal inference for in-context learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:57.167456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:48.989824Z digest=sha256:49949d05fa36bfd27aadb9872f1f0904759c1e2b4bd90ebf84de64a53f6b9a7e

Observation d0424b73-d9d2-4c9e-9996-002893889952 · outbound

This paper cites Boosting model resilience via implicit ad- versarial data augmentation.

Mitigating Spurious Correlations with Causal Logit Perturbation Boosting model resilience via implicit ad- versarial data augmentation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:56.959912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.079085Z digest=sha256:61cc2b29ed1df0d619811a691233ea355f9937c92681494c46111906dcb3364a

Observation 63dd31ca-ccfc-48f9-88b1-f8987118060a · outbound

This paper cites Large-scale long-tailed recognition in an open world.

Mitigating Spurious Correlations with Causal Logit Perturbation Large-scale long-tailed recognition in an open world

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:56.755879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.148904Z digest=sha256:fc8b9699bedde805390f7b19dac744e9b0ee02c6d53877c1ededd608d313180b

Observation 4857ba33-12ce-4270-9139-6c8eae99b42d · outbound

This paper cites Deep residual learning for image recogni- tion.

Mitigating Spurious Correlations with Causal Logit Perturbation Deep residual learning for image recogni- tion

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:56.591458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.226910Z digest=sha256:83e594949431177f4e0c6b336699112a797433ce88ff2b3dc4787c2ba11680ce

Observation 6cc2e038-3de1-4406-ae4b-73cc5cda52a5 · outbound

This paper cites Implicit semantic data augmentation for deep networks.

Mitigating Spurious Correlations with Causal Logit Perturbation Implicit semantic data augmentation for deep networks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:56.399388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.331145Z digest=sha256:e45b2df37f754c39f50daaeb80eab35a36a0b61355caf45ada7bf93da3217854

Observation 4af5549e-0e79-4196-973e-7fb6ef0c5699 · outbound

This paper cites How re-sampling helps for long- tail learning? In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS).

Mitigating Spurious Correlations with Causal Logit Perturbation How re-sampling helps for long- tail learning? In: Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:56.180142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.411514Z digest=sha256:c478df79f22cd28e12b54ea6afc5f4d3540798e9da1f3a0fc21a0349e99e39ba

Observation 574876bb-384b-4730-9589-3998107dd75c · outbound

This paper cites Learning multiple layers of features from tiny images.

Mitigating Spurious Correlations with Causal Logit Perturbation Learning multiple layers of features from tiny images

Reference 34

Resolution
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raw_fallback, observed 2026-08-07T15:26:56.004657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.507584Z digest=sha256:213068742e2b2cb1a3516c68d143c3bbb3ffabe7e8d3d10f0b14456e64a9d842

Observation d9dc32ea-9917-436f-a90e-b79ae7cfb523 · outbound

This paper cites Wide residual networks.

Mitigating Spurious Correlations with Causal Logit Perturbation Wide residual networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:55.854919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.596068Z digest=sha256:5dfe28792a7e8e1d4d755598d8a72a95f9d759f03feff4c6240b04ed313843fc

Observation 4620b051-8645-49ab-bc7e-3256abb6ac9a · outbound

This paper cites Co-teaching: Robust training of deep neu- ral networks with extremely noisy labels.

Mitigating Spurious Correlations with Causal Logit Perturbation Co-teaching: Robust training of deep neu- ral networks with extremely noisy labels

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:55.693655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.680444Z digest=sha256:1d53128e1b94ebf318584a4b61f55407fc33f667c4fa250d0bc8c217afa5ac59

Observation aa5c4744-6357-46e6-9862-5d144f143252 · outbound

This paper cites Normalized loss functions for deep learning with noisy labels.

Mitigating Spurious Correlations with Causal Logit Perturbation Normalized loss functions for deep learning with noisy labels

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:55.483000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.769851Z digest=sha256:0ec58529518b234f5aa16c6ddf92198516129b392aeaeb3c66eb7c89d4a61d47

Observation 6a4b6a6b-44c6-45a6-9914-9ec1eccf9305 · outbound

This paper cites Combating noisy labels by agreement: A joint training method with co-regularization.

Mitigating Spurious Correlations with Causal Logit Perturbation Combating noisy labels by agreement: A joint training method with co-regularization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:55.299024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.878576Z digest=sha256:7321ef981b4c4cbcf58fb5ccde1e350a600e890340efa0288a05c4e7c5017873

Observation 400c226b-7d3f-4337-911e-6346378b5919 · outbound

This paper cites L DMI: A novel information-theoretic loss function for training deep nets robust to label noise.

Mitigating Spurious Correlations with Causal Logit Perturbation L DMI: A novel information-theoretic loss function for training deep nets robust to label noise

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:55.046812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:49.968406Z digest=sha256:f93c61d9d95cbbc3ef6da8b966555aac5bfeb0fb8c50558da395611fce475310

Observation 4771865e-a6c1-4343-b76c-e880eddd786e · outbound

This paper cites MentorNet: Learning data-driven cur- riculum for very deep neural networks on corrupted labels.

Mitigating Spurious Correlations with Causal Logit Perturbation MentorNet: Learning data-driven cur- riculum for very deep neural networks on corrupted labels

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.854427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.082554Z digest=sha256:43f9644f3635eb2b201846653e7fd12c4ebdf0e7273e9c16317bb92c0d1a20d4

Observation 081fb46c-5bb6-41e7-9ba3-32b30ef2a09f · outbound

This paper cites Learning to reweight examples for robust deep learning.

Mitigating Spurious Correlations with Causal Logit Perturbation Learning to reweight examples for robust deep learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.647922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.196837Z digest=sha256:0ed5908beae2bf0c2199b326ea060be5b18d9f07a8fa8113ac80f87b44a71226

Observation 3e6132a0-396d-46fc-afbe-d0cc275266c5 · outbound

This paper cites Using trusted data to train deep networks on labels corrupted by severe noise.

Mitigating Spurious Correlations with Causal Logit Perturbation Using trusted data to train deep networks on labels corrupted by severe noise

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.431613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.290058Z digest=sha256:e565c526d5d8b4ad18be4daee1f46bfa942cb78b5f6c6688f505ce87e1a201b2

Observation e40f3188-ef42-43c1-b3cc-bc890d7b9597 · outbound

This paper cites Meta-learning advisor networks for long-tail and noisy labels in social image classification.

Mitigating Spurious Correlations with Causal Logit Perturbation Meta-learning advisor networks for long-tail and noisy labels in social image classification

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:54.148763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.403867Z digest=sha256:cb440f26aa4b9c1f748034cf11f6ccb7aa45f05ec0285c8091dcaff69bfbab98

Observation f7e611b3-73e2-4860-8674-54093b35edbb · outbound

This paper cites Distributionally robust neural networks.

Mitigating Spurious Correlations with Causal Logit Perturbation Distributionally robust neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.938249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.495021Z digest=sha256:87c7cf5ef5f4980f385364d47357536670204245695598a7eadb931351a93510

Observation a76d001d-1556-4b2c-95aa-0a7f4614a78c · outbound

This paper cites The Caltech-UCSD Birds-200-2011 dataset.

Mitigating Spurious Correlations with Causal Logit Perturbation The Caltech-UCSD Birds-200-2011 dataset

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.705156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.591724Z digest=sha256:baa6eba7080d5f79c71ed4d92796160f9da19c8dcff77e92e7015050b053283c

Observation 12b583ad-5616-4bed-aa4c-6620b79e087c · outbound

This paper cites Places: A 10 million image database for scene recognition.

Mitigating Spurious Correlations with Causal Logit Perturbation Places: A 10 million image database for scene recognition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.490641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.679959Z digest=sha256:fd34f0af394cc4c66309e4578a27428ab8a7beb2834d50dcbb49126abc1ae7a7

Observation d9e0650f-cd37-4787-87cf-97f20de21381 · outbound

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

Mitigating Spurious Correlations with Causal Logit Perturbation Improving out-of-distribution robustness via selective augmentation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.238582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.749545Z digest=sha256:b57c17b2672c6ff3fabc16337ac76bc881722a4f161981e3c1bb829f6419be5a

Observation 6a935d2d-1006-4c4d-98e0-7e0b43c30116 · outbound

This paper cites Adversarial domain adaptation with do- main mixup.

Mitigating Spurious Correlations with Causal Logit Perturbation Adversarial domain adaptation with do- main mixup

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:53.022397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.837723Z digest=sha256:5bb7d0cc326a4c6e1d7c8cd0a2eac9015b7e9ad9c49a4fdbcf0de51bf0d92b2c

Observation 063316c1-ccac-476e-8c23-e96ad956d947 · outbound

This paper cites Invariant feature learning for generalized long-tailed classification.

Mitigating Spurious Correlations with Causal Logit Perturbation Invariant feature learning for generalized long-tailed classification

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.794039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.910313Z digest=sha256:caed8fcfe6f90c487fa5b1b818a619284f069c4dfd04fb8b0637a16683aa04a6

Observation d3e3ea93-725d-4d69-ac1b-896d09d3b1e9 · outbound

This paper cites Aggregated residual transformations for deep neural networks.

Mitigating Spurious Correlations with Causal Logit Perturbation Aggregated residual transformations for deep neural networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.575717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:50.989640Z digest=sha256:affc6ebaceb5881afa1ec0bf404162b66d9503103ff754d88b5bf934ab43378f

Observation 3867ad9a-8163-4c96-8daf-1bd0ee5543e2 · outbound

This paper cites Decoupling representation and classi- fier for long-tailed recognition.

Mitigating Spurious Correlations with Causal Logit Perturbation Decoupling representation and classi- fier for long-tailed recognition

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.324376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:51.110541Z digest=sha256:d7b4b8ad49d1b5884a75eaf000d38ebd24ae503f9f67f2c78f370ab7ec740989

Observation 1316f61f-1fe1-4434-b783-0f4077df7fee · outbound

This paper cites Long-tailed classification by keeping the good and removing the bad momentum causal effect.

Mitigating Spurious Correlations with Causal Logit Perturbation Long-tailed classification by keeping the good and removing the bad momentum causal effect

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:52.073002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:51.228319Z digest=sha256:2f3883de372844cd99f8d9790e2d45b768f3c78df4df62a36622300e0a5edd44

Observation 9a24f46b-8fdb-4d60-95de-2c392afd7ff9 · outbound

This paper cites Balanced meta-softmax for long-tailed visual recognition.

Mitigating Spurious Correlations with Causal Logit Perturbation Balanced meta-softmax for long-tailed visual recognition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.880526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:51.320606Z digest=sha256:12c0874678387b8d6d801dff4694c5dde5482a06fde018a3b7dbde597e812573

Observation a42a5e4e-c3c9-4825-b91f-a4650a61de90 · outbound

This paper cites RandAugment: Practical automated data augmentation with a reduced search space.

Mitigating Spurious Correlations with Causal Logit Perturbation RandAugment: Practical automated data augmentation with a reduced search space

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:51.699202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:26:51.430081Z digest=sha256:04893a660457fde8e08018b6a7ffce3928224422f97b145c699176e4da391087

Pith citing papers

No inbound Pith citation observations are available.