Pith. sign in

Paper Citation Record · LEDGER

Mitigating Spurious Correlations with Causal Logit Perturbation

As of 20 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 2026-08-20T06:33:59.587034+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:ffda53019f2b1ef6810cc510220eedda31d937aea49a59b33afbdfbce3c7f053

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:45.813456Z digest=sha256:07eba9277e38baf7a7f043a38ec6ff8934fa1beef282b171e38591619fadf6a9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:45.981941Z digest=sha256:d69b39a4a1e66177b2c47ff7779b615bd34c68d42746814450bced54f4b1f220

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:46.105208Z digest=sha256:b65bb24de993e71d9d919f8d0b90a88072dc62b76cdb9de2b8741c76085ac9af

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:46.247565Z digest=sha256:82095eb0d9b1f86375608651931478e877ae098a926d921815a0528ee7017043

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:46.416860Z digest=sha256:ddfbf3067c64e632a04fd04f5024ed5ce0108b8ac47a6c27baeef5d13d9ac30e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:46.576191Z digest=sha256:1f5bf880968330f4428c9713c2976837cbe9d00faace62cbb614442d27b91123

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:46.703370Z digest=sha256:0b8a71ad1480573ab347e85037202f38e6d5f23ff5d18f42609e0ebcd774a721

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:46.908069Z digest=sha256:3c634944d474d0745fe74211dd8c7478259a9f846ba1e2f209da42c93c526284

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=sha256:819d1219cabfcd3d8a6e5aa7a8ed8af6fde5b03975171980d3f9a331baf49bd5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.262402Z digest=sha256:c77106ed4be9f73584ae07543c46dbef7f7fe128ba70c492555bb5e6672e8790

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.386239Z digest=sha256:4c40a6c9401670d4ffd522855e69b0639e4cdf4ecaf6f0c9508f3a67243cd286

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.475021Z digest=sha256:6f36919a4d7c24e0a213d9ab317e64d596825d5042defe5479a7b87e3a718400

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.561907Z digest=sha256:0b71239b7508aa4904b38b89431d958a4cf4c511a0c5bb0a0a5d04d9337a6775

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.649996Z digest=sha256:c43a7401ef70c4c663aad67024334354e5f3985fd2987118afd73b3965e019b2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.741591Z digest=sha256:a28fcafd0228858948f9bf38012f917dbe3f2d7e7f08725dcca6a6a4b122daca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.808209Z digest=sha256:192ce1413bd32b62ecebb1a0f954c847f02f9b8c9d6517c2479f6135e2482454

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.887394Z digest=sha256:c9b0f5a5c8a34e77facbfcf65227965b209f61dcf4201e6f59d63999affac73b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:47.981019Z digest=sha256:54ee6cf1beb9124fa62fe33bb033c7aaaad67fb5c751c6f7db67973e73e997cf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.056478Z digest=sha256:f7b800b1023705756ee850c95cd03ac0cad114918a29d9de9fa4087692f1168c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.187999Z digest=sha256:6ce26f650a67adff97114c3e4d28d7a02e1ccaf95456a4c0b9a6dd21842758c4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.298521Z digest=sha256:86cf5a6300876bcd60b192a6af0c5829aff42799ebc41ad97c1fac76b2f11bfe

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.463315Z digest=sha256:7a3975794fcb46d2e0d5d79e72fa0487b1d43db52326d299b34734a77f0d944a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.636217Z digest=sha256:9ecbbd91bf6f0ab2f7909c57d495ff4fbf43ded1ba9f3a2f74cb592d6f12f8be

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.766548Z digest=sha256:bc72efff10e830720d0669a9e4f2cf124d09fda0f180f8440e932b7070c6e19f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.830675Z digest=sha256:a4a04e6d0046effa9e7dd6c531aba0ba4ed5c3b70125ca4a32ef3ca09cfed15a

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=sha256:70d357133ef582a798d3ce1a77334b4953ebc16335ebad04a7b6f8c2d62ccb1c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:48.989824Z digest=sha256:c5c497167109c0bb2d68b05a5a6d2c87798d32b0ff983eefd500f4c250c51549

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.079085Z digest=sha256:f391ba0c976c1b01722d7465f5f8ff7d330714266f40fdf288ba5250da2940ef

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.148904Z digest=sha256:f3260c913d4bfe11816426783ecb716436f7df1c80539bbd3f8e68172be27edf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.226910Z digest=sha256:bde0765fcd5014143ae9cbcb78a5ad31df59e5661e3dc26388fe4ccbf4ba049a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.331145Z digest=sha256:b954a0c6f0fc440127008da31bf8a68cc94ceda505bb9eed80a2fa600da2204e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.411514Z digest=sha256:e23d87d7dd71e12741eb96435835c3001704b2e36e521d596338b81e5af75807

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.507584Z digest=sha256:ca8fae135540b787dcf1eae74551b4fcdf4bb723fdf22f9a7f1cd00c84312521

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.596068Z digest=sha256:e94dbed2d81be58e9c25a2fecd0b8ae98158d8f3d7168f8fd5c71e5ab09ae9ce

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.680444Z digest=sha256:d15f1953f4efd217c62f2deb958373aa8eccd86c544e35d6aa3b0d215283a401

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.769851Z digest=sha256:b6a6a7387c557d52623cd03c6995204d16c9ff85d154b814599c7d7c38c31ce2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.878576Z digest=sha256:282ee8c0986c721d481b01860f7bbc4fab3c370e8a73b65eb738d80e0b86e2c4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:49.968406Z digest=sha256:cf7bfe4b6464a3b7226600cf2a606a40369f31bb6dddd38f3521eab9f465302a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.082554Z digest=sha256:32a6fd4ff7358d488e426febc9fc502a0340164b16e3eaedaea3f0fea54c29c3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.196837Z digest=sha256:140830d27e20b5a3d0aab77cebf672059e25b79d570ea860739093a527b771c0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.290058Z digest=sha256:deabd0e6940671f65144ea71076aca4f6b46894e8c2bc2325cad582aaaec6587

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.403867Z digest=sha256:00e2f2cb8fa1ab2575dcac1409633d20cbe2c3fade15bc0cdc38af95346a7257

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.495021Z digest=sha256:7319006100ecfbb39e3f247b7266f051e1ee6256858313a7d20f9b6a60fd9c7d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.591724Z digest=sha256:b616e0f51d5b277f0a6cc0e2a3d618242e47c28228f69da7a3e7f7b30b7aee1d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.679959Z digest=sha256:2af705c4db3e1fca362d4725da7f94b1789ddfab505d50b044520443394081c5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.749545Z digest=sha256:841b63e7672cd0efc1cf4efb01ef3c1475cca7ec690b141c24fe2294e3e4b26b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.837723Z digest=sha256:eb64be56f15f9b136a352f90bdde2640b19b68e2d3d97d3d75094daf6579826c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.910313Z digest=sha256:d8279a9138506d761d2d9d364971dcfe4089b24a5dff3de8ee13cc4dcaf2c931

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:50.989640Z digest=sha256:b15a932360c66d3e887c100b7315bb939eaef4eff3d673c79e3ca639200aae36

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:51.110541Z digest=sha256:8a44c1bb51946f0650cb1a072f90ae2aff5a5a274bb545570bc0b9e39ce25dd0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:51.228319Z digest=sha256:b2841b57cdf92a821a36acc9d63c780d6e7375aa77163b11c5a3b73cd0d85fd0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:51.320606Z digest=sha256:968c64d3d1710915e35b0ae7938319cdbb32f108724d1896aee3a5d22469bc84

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:51.430081Z digest=sha256:9636676705956ace44ec4cd2f04e4377e5808c4159205a758f88cae2fa976a36

Pith citing papers

No inbound Pith citation observations are available.