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Paper Citation Record · LEDGER

Causal Covariate Shift Correction using Fisher information penalty

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2502.15756.

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

pith.paper-citation-record.v1
2502.15756 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:04:37.474316Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T22:10:19.288480Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41b978e4-0450-4585-ab6f-6ba724026e83 · outbound

This paper cites Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework.

Causal Covariate Shift Correction using Fisher information penalty Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-08T12:04:37.937567Z

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=arxiv_source observed=2026-08-08T12:04:37.320047Z digest=sha256:b0b4ce2964f17e1b832838c9a06e9c119578c22c885684a0d8da675ec6fe8817

Observation dab6291c-d739-4cae-bf87-fea9392934ba · outbound

This paper cites Deep Learning for Classical Japanese Literature.

Causal Covariate Shift Correction using Fisher information penalty Deep Learning for Classical Japanese Literature

Reference 2

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no resolver link, observed 2026-08-08T12:04:37.325742Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T12:04:37.325742Z digest=sha256:2d31b9b873a1d3334d08a66904863ca298454f5b1d394184721e806aa4a97cec

Observation a9895fd5-3d50-446a-bcb3-71f5f0fba67a · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

Causal Covariate Shift Correction using Fisher information penalty An analysis of single-layer networks in unsupervised feature learning

Reference 3

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source=arxiv_source observed=2026-08-08T12:04:37.331514Z digest=sha256:12069fe8e4a6acb4656c7908c64413883033c5508de7ab152b4cf2a5066cc81f

Observation d9be3720-4d5f-4628-bcc8-2eeac6585829 · outbound

This paper cites Sample selection bias correction theory.

Causal Covariate Shift Correction using Fisher information penalty Sample selection bias correction theory

Reference 4

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-08T12:04:37.336659Z digest=sha256:34cedff055f719f3ef420e74b1593be3bd6c00ec2685fba63b3a53209d61d096

Observation 468d46eb-a9fc-4722-9a9c-9ca6e79ec3ff · outbound

This paper cites Monotonicity of Entropy and Fisher Information: A Quick Proof via Maximal Correlation.

Causal Covariate Shift Correction using Fisher information penalty Monotonicity of Entropy and Fisher Information: A Quick Proof via Maximal Correlation

Reference 5

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source=arxiv_source observed=2026-08-08T12:04:37.342564Z digest=sha256:69a6398587d6cbfb6c3cb39e0ccfeb91ed2aff2c14b1419bcab0fbb1ffc841b6

Observation 032b48c1-8eef-4bb5-a749-6b131205447c · outbound

This paper cites Rethinking importance weighting for deep learning under distribution shift.

Causal Covariate Shift Correction using Fisher information penalty Rethinking importance weighting for deep learning under distribution shift

Reference 6

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raw_fallback, observed 2026-08-08T12:04:37.893803Z

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=arxiv_source observed=2026-08-08T12:04:37.348436Z digest=sha256:4f7f7071d551b8c7a17c4241b42adaef17eecd831f343f31091d23720e7a3f2c

Observation 1971c4e1-38c1-455a-b21e-7d454fc70d0e · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

Causal Covariate Shift Correction using Fisher information penalty Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 7

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source=arxiv_source observed=2026-08-08T12:04:37.354189Z digest=sha256:be4119b09efd41f194202277a615f84a36e14f80bf2712b121af2038761a9d34

Observation f4dab757-6fd1-43ab-8de7-6dfe583cd3b9 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Causal Covariate Shift Correction using Fisher information penalty An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 8

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source=arxiv_source observed=2026-08-08T12:04:37.359669Z digest=sha256:09bcf8b294da3c63e126c6002b62bf8a99f94aa25be3c804de8627001627f2e2

Observation 5a118827-0f22-41ba-92fb-f5951c8ab544 · outbound

This paper cites Covariate shift by kernel mean matching.

Causal Covariate Shift Correction using Fisher information penalty Covariate shift by kernel mean matching

Reference 9

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raw_fallback, observed 2026-08-08T12:04:37.867170Z

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=arxiv_source observed=2026-08-08T12:04:37.365086Z digest=sha256:07071b5372dd077724eacf39875fce2b839c4d294be1320a316d13fd21075f05

Observation d839c09a-db44-4b7a-8290-d2fa3fa8d9fe · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Causal Covariate Shift Correction using Fisher information penalty Benchmarking neural network robustness to common corruptions and perturbations

Reference 10

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source=arxiv_source observed=2026-08-08T12:04:37.370432Z digest=sha256:6d7725bc11ed99dc1818ae4b30624318e5f6990f466bfec65e228d0bd23e61b3

Observation ba50560a-231f-4cf2-a62b-8972547967fb · outbound

This paper cites Correcting sample selection bias by unlabeled data.

Causal Covariate Shift Correction using Fisher information penalty Correcting sample selection bias by unlabeled data

Reference 11

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Observation 6aaa5444-a001-422d-a3f9-36d03d8670fa · outbound

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

Causal Covariate Shift Correction using Fisher information penalty Learning multiple layers of features from tiny images

Reference 12

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source=arxiv_source observed=2026-08-08T12:04:37.380702Z digest=sha256:d9d2f6438bb29e87fdf70a2c5a40120b846a98a741b16a9200d3e857f838a0c4

Observation c0a3e1a9-1be2-4468-8b10-e8f1cd177937 · outbound

This paper cites On information and sufficiency.

Causal Covariate Shift Correction using Fisher information penalty On information and sufficiency

Reference 13

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source=arxiv_source observed=2026-08-08T12:04:37.385506Z digest=sha256:7cc54b1cf3c98c962376b0d3724b2f54a88640b675df15f9bfac9c909a4a5670

Observation e687495a-9d17-4d8e-85a8-bf6638339ac3 · outbound

This paper cites The mnist database of handwritten digits.

Causal Covariate Shift Correction using Fisher information penalty The mnist database of handwritten digits

Reference 14

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source=arxiv_source observed=2026-08-08T12:04:37.390394Z digest=sha256:e422da2b0720bfa10531a8c2ff26e59417f5b0e58f0fb0ef97a8b41ccbf88f65

Observation 59a4a8f0-6fac-43e7-a422-93bea5e9f73b · outbound

This paper cites Study on the impact of partition-induced dataset shift on k -fold cross-validation.

Causal Covariate Shift Correction using Fisher information penalty Study on the impact of partition-induced dataset shift on k -fold cross-validation

Reference 15

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raw_fallback, observed 2026-08-08T12:04:37.790452Z

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=arxiv_source observed=2026-08-08T12:04:37.395304Z digest=sha256:caa0d4e747cb134bed1e1807d0ff85206a64e37a5710a34df2ca91602eaf5175

Observation 477764be-bbd1-42cf-a4bd-73085103f317 · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

Causal Covariate Shift Correction using Fisher information penalty MNIST-C: A Robustness Benchmark for Computer Vision

Reference 16

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source=arxiv_source observed=2026-08-08T12:04:37.400180Z digest=sha256:3dd2dda885235acc35b8e2bcfe9dd78844aafa0babab00f33ebdb5dbb2d2bdfc

Observation 20389750-8222-4692-91e2-27fa66035a11 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

Causal Covariate Shift Correction using Fisher information penalty Reading digits in natural images with unsupervised feature learning

Reference 17

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source=arxiv_source observed=2026-08-08T12:04:37.405645Z digest=sha256:6b4d198f2e8517f66e7d84c9d549f975c47ab560b39fefa35c8f94b99ba5247a

Observation fea0c6ce-0056-4d04-8aec-b3b38f3a59fb · outbound

This paper cites A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound.

Causal Covariate Shift Correction using Fisher information penalty A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound

Reference 18

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local_arxiv, observed 2026-08-08T12:04:37.575659Z

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.

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Observation 4e78bbba-0ba9-410f-974f-2c298a82653d · outbound

This paper cites Revisiting Natural Gradient for Deep Networks.

Causal Covariate Shift Correction using Fisher information penalty Revisiting Natural Gradient for Deep Networks

Reference 19

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source=arxiv_source observed=2026-08-08T12:04:37.415529Z digest=sha256:0caeb3e6ec7af75b4e84784230de4d5ca674272f52294c14c47bf2c680359414

Observation 3280821b-a3ab-4dec-b848-348a0d376136 · outbound

This paper cites Dataset shift in machine learning.

Causal Covariate Shift Correction using Fisher information penalty Dataset shift in machine learning

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-08T12:04:37.762920Z

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=arxiv_source observed=2026-08-08T12:04:37.421111Z digest=sha256:c57b1305895754402187a8a930c5246e54d09e1bb80d43b63acec7ae961805b2

Observation a211c70d-ee01-4897-b405-6ace549e8bd8 · outbound

This paper cites Machine learning in non-stationary environments: Introduction to covariate shift adaptation.

Causal Covariate Shift Correction using Fisher information penalty Machine learning in non-stationary environments: Introduction to covariate shift adaptation

Reference 21

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source=arxiv_source observed=2026-08-08T12:04:37.425824Z digest=sha256:917b6978c1d917f60f5b185a1d8fefdb5fd8fdf18a1bfc92b9cf7c1bf9994ee7

Observation 390b7587-e4de-4cab-ba9d-6404db7f70e1 · outbound

This paper cites Covariate shift adaptation by importance weighted cross validation.

Causal Covariate Shift Correction using Fisher information penalty Covariate shift adaptation by importance weighted cross validation

Reference 22

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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=arxiv_source observed=2026-08-08T12:04:37.430639Z digest=sha256:1f3a969acfdd2d4971e0d5ad1283fc3503930c0139eb693ef71c4f5163888ff1

Observation 989f412d-7567-4f72-8a20-d4b38b0f0b63 · outbound

This paper cites Direct importance estimation with model selection and its application to covariate shift adaptation.

Causal Covariate Shift Correction using Fisher information penalty Direct importance estimation with model selection and its application to covariate shift adaptation

Reference 23

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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=arxiv_source observed=2026-08-08T12:04:37.435467Z digest=sha256:89c0215d644071e1ee07b8db55f682a3bb407def823f0e454b688a1b75f68a4c

Observation e56fda20-2609-4af0-96e1-81938a4439bf · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Causal Covariate Shift Correction using Fisher information penalty WaveNet: A Generative Model for Raw Audio

Reference 24

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source=arxiv_source observed=2026-08-08T12:04:37.441316Z digest=sha256:3879bc723dca57433d021af54f7148b5dafbb58cf9bc7f0137eed0ce7e4c9ad0

Observation b80c614b-ccea-42f2-8749-59ed41a3b520 · outbound

This paper cites Adaptive filtering and hypothesis testing: Application to cancerous cells detection.

Causal Covariate Shift Correction using Fisher information penalty Adaptive filtering and hypothesis testing: Application to cancerous cells detection

Reference 25

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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.

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Observation f6635c81-eed3-443a-9086-34710a8fd16b · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Causal Covariate Shift Correction using Fisher information penalty Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 26

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Observation 3def2dc0-1b70-41a7-b412-e01e9fdf2fbd · outbound

This paper cites write newline.

Causal Covariate Shift Correction using Fisher information penalty write newline

Reference 27

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Observation dfd77548-2662-4421-ac67-1f26165cc0c7 · outbound

This paper cites @esa (Ref.

Causal Covariate Shift Correction using Fisher information penalty @esa (Ref

Reference 28

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Observation 1e6d0f05-ae7f-4373-8469-86bdc1620788 · outbound

This paper cites an unresolved cited work.

Causal Covariate Shift Correction using Fisher information penalty Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-08T12:04:37.469044Z digest=sha256:1373c3be241e9f21409b7e0c10a51009495b58d76338a0548b63894af5d8ee36

Observation 77f4d819-5a70-408b-8396-8e58e1ccc260 · outbound

This paper cites an unresolved cited work.

Causal Covariate Shift Correction using Fisher information penalty Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-08T12:04:37.474316Z digest=sha256:f0b1ae8a67bced2f7e2d6fe83ccd40e447f0526b66813fa335cc6732fa77f72a

Pith citing papers

Observation 11b9c832-7573-4676-a3a6-2d0a8c6c686a · inbound

CalTwin: Towards Calibrated, Shift-Robust Medical World Models via Fisher-Information Regularisation cites this paper.

CalTwin: Towards Calibrated, Shift-Robust Medical World Models via Fisher-Information Regularisation Causal Covariate Shift Correction using Fisher information penalty

Reference 3

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