Pith. sign in

Paper Citation Record · LEDGER

Mitigating Spurious Correlations with Causal Logit Perturbation

As of 9 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 2026-08-09T06:31:02.800959+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

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy51
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:45.688650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:45.688650Z digest=sha256:24e9c7cde3b0968e58d99a92012dcd6a6acf4364618b8cb25ef3c2e391a8f11d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:27:01.442271Z

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.

source=pdf_text observed=2026-08-07T15:26:45.813456Z digest=sha256:2446f361d9fc7badac6a41b014e30983b4fff63cf47f6a22510cf58a5da0d418

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:27:01.299099Z

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.

source=pdf_text observed=2026-08-07T15:26:45.981941Z digest=sha256:936e65a3b72f0d43386bfb45f6da289f6c7b41191b23222091b384e583227f9e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:27:01.110120Z

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.

source=pdf_text observed=2026-08-07T15:26:46.105208Z digest=sha256:1dbbb28c69f8305efe4e60a3ae94e9d3e2a8725402b96ebeff5cfab1b620915a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:27:00.988537Z

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.

source=pdf_text observed=2026-08-07T15:26:46.247565Z digest=sha256:807cbed132aa2f76768dafce6a8110a3c2855b4beef400890c5ebb8c47d97a02

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:27:00.977234Z

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.

source=pdf_text observed=2026-08-07T15:26:46.416860Z digest=sha256:6a91622afda751457071766ba382be135c8c2cd167acac0433a474355b5254c4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:27:00.735268Z

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.

source=pdf_text observed=2026-08-07T15:26:46.576191Z digest=sha256:60275bad1b9af8f7016cf51992245fef69dc0d1678db5489cdab764065a04ad2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:27:00.351835Z

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.

source=pdf_text observed=2026-08-07T15:26:46.703370Z digest=sha256:d6bda1e6576dea7f45918e6403f17f28372c13c1e9007c95eee26cacde11196d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:59.975143Z

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.

source=pdf_text observed=2026-08-07T15:26:46.908069Z digest=sha256:d0cfa93e30956975732dbae63e07269dbc694fe3a9991d04ae592c4b00a86296

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:47.081246Z digest=sha256:85d4c9f8c4ed5cc45a2a125230d1b49c347602b8fc310518986fce2bafb91d73

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:59.676000Z

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.

source=pdf_text observed=2026-08-07T15:26:47.262402Z digest=sha256:a1ebb6290bb5ad0d16fc0e45f8b35bbe521f3bdfaec0d77c43119421d7b78d9c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:59.497701Z

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.

source=pdf_text observed=2026-08-07T15:26:47.386239Z digest=sha256:d07319d464be8b600320ea20f22421db585310ad551d3c705cf424dd8935bd22

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:59.361616Z

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.

source=pdf_text observed=2026-08-07T15:26:47.475021Z digest=sha256:d4945a9f40792c1c70c6f9c5b1c88a2a3a1533e9868170f3b43e21547d6efdb6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:59.225798Z

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.

source=pdf_text observed=2026-08-07T15:26:47.561907Z digest=sha256:31e3628e5ba2bc051c381c011dc0f3cbfafada9048063de9334b92ae8b1f768e

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:47.649996Z digest=sha256:362ed34fcc39cdafba2cec4acb33dce4e864019a1d96009ddf30a80872e41bf8

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
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:47.741591Z digest=sha256:96b0e6329ce24f48db25c2044b21dd482a884ba32628ccc7ece1536167c9f4cb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:58.767485Z

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.

source=pdf_text observed=2026-08-07T15:26:47.808209Z digest=sha256:074c386726901b446ad423b042154ea48d87359483d15d23b7afdec8e50b0c17

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:58.644624Z

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.

source=pdf_text observed=2026-08-07T15:26:47.887394Z digest=sha256:71562d4a9e6b926483783a724dc9f38e55636c1a73c11fd04614bd4ac014246e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:58.516380Z

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.

source=pdf_text observed=2026-08-07T15:26:47.981019Z digest=sha256:0662615657b33edc989f9d1a36950735d3278fd3311cf27a839f3a90f9c76f96

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
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.056478Z digest=sha256:054d508e7a0d413c181288ce31be5b9ba4fff7d3dbb969bc1497381083b66d76

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
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.187999Z digest=sha256:b464a15cce57b1e559ace88a8adb17f392cb30aaa9d24ebb188f86b786a67210

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.298521Z digest=sha256:591ebc65e9a36b0b74775647a2bea0c2441dfc41c4bfb54a764eed1143f4c32a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.463315Z digest=sha256:0f065880565eb19d661e9c871e96f8702a58e26e2606647a452469a79a232a7f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.636217Z digest=sha256:a09a3d8578f06454d7c58304d93211e9944712406fd556b2f9365557a3e80e6b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.766548Z digest=sha256:ecafd43cf04c203296293547a7e1378c1b3c5b55f2dbdedae528d8ce1fc335e4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.830675Z digest=sha256:3360e01df4fa8afd93f3059acc49a60dcf6ec2d3ef9d0445952cefb027e9a131

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
unresolved
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=sha256:51db17b6ae92871b094dccf5f1a31c58ee25d49a293b161d7ddb0371ceed855c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:48.989824Z digest=sha256:72947506b7441110159e00da2683cc89e817e916030d9198cadef80fa6bb338f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.079085Z digest=sha256:3822b85a2658985eed0b30ed2ddbeb3d191fd0c221e08abd8ba0409b75e1d2ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.148904Z digest=sha256:1e56ba751df39662f2501d56f195f56591b9a81bd7c739ff3113af00c4bccc05

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.226910Z digest=sha256:6e25a5c52165367d0a387bf50dc2a8157532abeb1b06c742d93766cc6e37c820

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.331145Z digest=sha256:c3dd9fecf3f65af34074e197bc0eaa0683ac4718b3389503bc07d259239c5c0b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.411514Z digest=sha256:be6657821d9613256384a64188bb729609cf53ff93bed8ad68b22bcf04c2a3b9

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
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.507584Z digest=sha256:cedfff04a0aaadd099bf8b2f4cc426a8d63c6b2243e53a2e7f8af9b993477ec6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.596068Z digest=sha256:2a4ed610d1b1f61f068d567b661ab1618610620279b0364d22af2e48718926ca

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.680444Z digest=sha256:9107af04485c46ba829b2ce0b7c1e588744c83d89144b5385953e81bc9353d34

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.769851Z digest=sha256:9b57654fa41c5a9857d2fcd8b1fbba3f102760db78d2710054f82dc2f7c86b10

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.878576Z digest=sha256:8d27438e9e7c54135bc4744c1453afb0f9876902ca50648c98a1c2f395555de2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:49.968406Z digest=sha256:a70e6edd90e6a6839196816090decf93862551615460632bcc3818731f90b483

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.082554Z digest=sha256:810c42173f7a51629b19f4755089e3148ac24aae1962f75cfd08312ffca99e6d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.196837Z digest=sha256:492d6a8366c130bfa4f4773bbbaa1da1a13992382e31bfca881a000f0e761cc5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.290058Z digest=sha256:7981b5cbd58aea3d36e669989a7cf1f3c2ae5ca6caf86efd32d3d62cd0642769

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.403867Z digest=sha256:bb902ecf3401d3606c66cc679a4193974b32bd0561fda00aeeaa6a524c94a533

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.495021Z digest=sha256:4dbca06885c3f0d9a2424a48d8b05e71b7f5026e837e0bbdc8579f30c3b700ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.591724Z digest=sha256:96146699ec3758a675dccc6bc32e3c53af3ca7219162628732c4639b7bd33a3a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.679959Z digest=sha256:985178c18b5e1e3a1e313bdc0e084f836d8c250b706e86fd9d8214492c307fb6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.749545Z digest=sha256:26bf4a33efe0f66eec2aa151d6ded34256a35a8c194733f8defcf2b7f9353555

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.837723Z digest=sha256:8ed1e3cb1ce9254fa763f6fc85a588a701520f586b19c90347b3edfa06e2ecc2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.910313Z digest=sha256:6b9da13be84df5ccf53f6f2b9069b90a7f8158e164ac8a68923acb65c6eeef10

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:50.989640Z digest=sha256:98cb6ee5c6e5fc0daf07a90f955111c86963c19347ddf8aa8877fe67c3b285e6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:51.110541Z digest=sha256:cfb73ca7bc60e4fcabb674b8dde0eed4e8065f8fb3677cb498e4bc057840d2f4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:51.228319Z digest=sha256:afe2dbc026d18ba3ecd6e56460e4999bbcf9611de81793ae464e1f4b9eb98d54

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:51.320606Z digest=sha256:417ac12d9083606878d07271f6ec22c5aa41c23e309922230579a07f0740a1eb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:26:51.430081Z digest=sha256:bc1f0bcad0ca5050297ee775d42cff958c39fb53d32ade51a690bbea868cad4e

Pith citing papers

No inbound Pith citation observations are available.