Paper Citation Record · LEDGER

Environment-Robust Representation Learning with Empirical Bayes

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2606.05365.

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

pith.paper-citation-record.v1
2606.05365 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T03:51:43.739636Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

32 of 32 outbound references displayed

verified exact5
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7d0014a-86da-459e-89a2-2bbc0b6f71f5 · outbound

This paper cites Invariant risk minimization games.

Environment-Robust Representation Learning with Empirical Bayes Invariant risk minimization games

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6667787-0f8b-4a90-a9c9-9ee71c3b7082 · outbound

This paper cites an unresolved cited work.

Environment-Robust Representation Learning with Empirical Bayes Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a41ca29-a863-4e1f-bebb-04c23173d07c · outbound

This paper cites Invariant Risk Minimization.

Environment-Robust Representation Learning with Empirical Bayes Invariant Risk Minimization

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:26:54.492084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d8fd6e2-f137-4929-8036-162e64909251 · outbound

This paper cites Robust solutions of optimization problems affected by uncertain probabilities.Management Science, 59(2):341–357, 2013.

Environment-Robust Representation Learning with Empirical Bayes Robust solutions of optimization problems affected by uncertain probabilities.Management Science, 59(2):341–357, 2013

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8923b6d-eac9-4a6e-a04e-004a48698bcf · outbound

This paper cites A framework for human microbiome research.

Environment-Robust Representation Learning with Empirical Bayes A framework for human microbiome research

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89cf0182-e5a8-44e6-8412-e76d3aea341b · outbound

This paper cites Learning models with uniform performance via distributionally robust optimization.The Annals of Statistics, 49(3):1378–1406, 2021.

Environment-Robust Representation Learning with Empirical Bayes Learning models with uniform performance via distributionally robust optimization.The Annals of Statistics, 49(3):1378–1406, 2021

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065bb1b4-2741-45bd-a748-5dc1ffe3aa9f · outbound

This paper cites Statistics of robust optimization: A generalized empirical likelihood approach.Mathematics of Operations Research, 46(3): 946–969, 2021.

Environment-Robust Representation Learning with Empirical Bayes Statistics of robust optimization: A generalized empirical likelihood approach.Mathematics of Operations Research, 46(3): 946–969, 2021

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d81475d-ce96-450b-bb0a-87fcf23c9eb8 · outbound

This paper cites Meta- analysis of gut microbiome studies identifies disease-specific and shared responses.Nature communications, 8(1):1784, 2017.

Environment-Robust Representation Learning with Empirical Bayes Meta- analysis of gut microbiome studies identifies disease-specific and shared responses.Nature communications, 8(1):1784, 2017

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d133bb6-f13e-4957-b230-73937d3c311b · outbound

This paper cites Cambridge University Press, 2012.

Environment-Robust Representation Learning with Empirical Bayes Cambridge University Press, 2012

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afe2949-0462-47d3-8556-b5ba45785572 · outbound

This paper cites an unresolved cited work.

Environment-Robust Representation Learning with Empirical Bayes Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 080cee43-eaf6-4d52-b883-4fbe911c7332 · outbound

This paper cites Capturing Label Characteristics in VAEs.

Environment-Robust Representation Learning with Empirical Bayes Capturing Label Characteristics in VAEs

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.482377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 359468f5-8a1c-42d0-b7e9-086ccb848a8c · outbound

This paper cites Auto-encoding variational bayes.International Confer- ence on Learning Representations, 2014.

Environment-Robust Representation Learning with Empirical Bayes Auto-encoding variational bayes.International Confer- ence on Learning Representations, 2014

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7bc718a-f24c-4d42-8197-52ee22f489ad · outbound

This paper cites Learning latent subspaces in variational autoencoders.

Environment-Robust Representation Learning with Empirical Bayes Learning latent subspaces in variational autoencoders

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9655d9fe-8691-4f96-b2f3-b6e890cd7034 · outbound

This paper cites Out-of-distribution generalization via risk extrap- olation (rex).

Environment-Robust Representation Learning with Empirical Bayes Out-of-distribution generalization via risk extrap- olation (rex)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a91d13-5990-4a6e-8c25-abd96900695b · outbound

This paper cites Nonparametric maximum likelihood estimation of a mixing distribution.Journal of the American Statistical Association, 73(364):805–811, 1978.

Environment-Robust Representation Learning with Empirical Bayes Nonparametric maximum likelihood estimation of a mixing distribution.Journal of the American Statistical Association, 73(364):805–811, 1978

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69570f16-7846-4d5b-ba5e-eac22f34add6 · outbound

This paper cites Bayesian invariant risk minimization.

Environment-Robust Representation Learning with Empirical Bayes Bayesian invariant risk minimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1262edf1-ea95-41f6-aa69-7d9245771528 · outbound

This paper cites Deep generative modeling for single-cell transcriptomics.Nature Methods, 15(12):1053–1058, 2018.

Environment-Robust Representation Learning with Empirical Bayes Deep generative modeling for single-cell transcriptomics.Nature Methods, 15(12):1053–1058, 2018

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42545905-73ee-48d8-95b4-ffd5df57594e · outbound

This paper cites Invariant causal representation learning for out-of-distribution generalization.

Environment-Robust Representation Learning with Empirical Bayes Invariant causal representation learning for out-of-distribution generalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af6110a2-3a3e-44d1-856d-ef7cfe00d7d0 · outbound

This paper cites an unresolved cited work.

Environment-Robust Representation Learning with Empirical Bayes Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44cd0433-7c8a-4e75-8635-a4d9ea23a649 · outbound

This paper cites Focus on the common good: Group distributional robustness follows.

Environment-Robust Representation Learning with Empirical Bayes Focus on the common good: Group distributional robustness follows

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e744014f-c5ab-46e7-9294-a703041265bc · outbound

This paper cites Fishr: Invariant gradient variances for out-of-distribution generalization.

Environment-Robust Representation Learning with Empirical Bayes Fishr: Invariant gradient variances for out-of-distribution generalization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672b3810-b9d9-480f-88a8-4baa88c59092 · outbound

This paper cites Early prediction of sepsis from clinical data: the physionet/computing in cardiology challenge 2019.Critical care medicine, 48 (2):210–217, 2020.

Environment-Robust Representation Learning with Empirical Bayes Early prediction of sepsis from clinical data: the physionet/computing in cardiology challenge 2019.Critical care medicine, 48 (2):210–217, 2020

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b42be4-7db4-4fa6-9328-8a8f81bbb2c9 · outbound

This paper cites Invariant models for causal transfer learning.Journal of Machine Learning Research, 19(36):1–34, 2018.

Environment-Robust Representation Learning with Empirical Bayes Invariant models for causal transfer learning.Journal of Machine Learning Research, 19(36):1–34, 2018

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b7db0ff-f77e-426c-b923-1b0f8071fc77 · outbound

This paper cites Distributionally robust neural networks.

Environment-Robust Representation Learning with Empirical Bayes Distributionally robust neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 453831e1-7b9b-4bc0-816c-22372ff08a65 · outbound

This paper cites Causality-oriented robustness: exploiting general noise interventions.

Environment-Robust Representation Learning with Empirical Bayes Causality-oriented robustness: exploiting general noise interventions

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.482537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3be34b4-aec6-4ad5-be27-71b96af183e6 · outbound

This paper cites Gradient Matching for Domain Generalization.

Environment-Robust Representation Learning with Empirical Bayes Gradient Matching for Domain Generalization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.489212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68c8b059-79a4-4b5f-9f8a-c8e85509d1bb · outbound

This paper cites Robust Representation Learning through Explicit Environment Modeling.

Environment-Robust Representation Learning with Empirical Bayes Robust Representation Learning through Explicit Environment Modeling

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:26:54.485177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 209bdee6-4a36-4659-880f-b6477c09efba · outbound

This paper cites Learning structured output representation using deep conditional generative models.Advances in Neural Information Processing Systems, 28, 2015.

Environment-Robust Representation Learning with Empirical Bayes Learning structured output representation using deep conditional generative models.Advances in Neural Information Processing Systems, 28, 2015

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78305625-e9d2-499b-a97a-ba6f1dbdf050 · outbound

This paper cites Vae with a vampprior.

Environment-Robust Representation Learning with Empirical Bayes Vae with a vampprior

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e4ab746-1de1-4e24-9836-3bd4b70f9fee · outbound

This paper cites On calibration and out-of-domain generalization.Advances in neural information processing systems, 34:2215–2227, 2021.

Environment-Robust Representation Learning with Empirical Bayes On calibration and out-of-domain generalization.Advances in neural information processing systems, 34:2215–2227, 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78d8a714-d2de-498e-8a79-22673e2ec29e · outbound

This paper cites Distributionally robust post-hoc classifiers under prior shifts.

Environment-Robust Representation Learning with Empirical Bayes Distributionally robust post-hoc classifiers under prior shifts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e17a03-9b2d-44f2-bbed-99baf0e873e4 · outbound

This paper cites Multi-domain empirical bayes for linearly- mixed causal representations.arXiv e-prints, pages arXiv–2603, 2026.

Environment-Robust Representation Learning with Empirical Bayes Multi-domain empirical bayes for linearly- mixed causal representations.arXiv e-prints, pages arXiv–2603, 2026

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-06-28T03:51:43.739636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.