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Paper Citation Record · LEDGER

General and Estimable Learning Bound Unifying Covariate and Concept Shifts

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.12829.

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

pith.paper-citation-record.v1
2506.12829 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:47:19.805557Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

41 of 41 outbound references displayed

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  • unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59bfa4b0-ea38-4597-a7b7-a85571a26541 · outbound

This paper cites Invariant Risk Minimization.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Invariant Risk Minimization

Reference 1

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Observation 0d28df0e-67bd-49cd-a4d5-ed0775770ea3 · outbound

This paper cites Analysis of representations for domain adaptation.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Analysis of representations for domain adaptation

Reference 2

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Observation be35df84-7e82-4f84-85ab-a6b50c06f559 · outbound

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General and Estimable Learning Bound Unifying Covariate and Concept Shifts Unresolved cited work

Reference 3

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General and Estimable Learning Bound Unifying Covariate and Concept Shifts Unresolved cited work

Reference 4

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Observation e9087567-9593-48ca-97b6-88aa7e049f4c · outbound

This paper cites an unresolved cited work.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Unresolved cited work

Reference 5

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Observation 0cb00691-98cb-4c59-822d-ffe8536943a9 · outbound

This paper cites Diagnosing Model Performance Under Distribution Shift.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Diagnosing Model Performance Under Distribution Shift

Reference 6

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Observation fc9b2fb5-deff-4a4b-ab7e-9a03419173b9 · outbound

This paper cites Convergence of entropic schemes for optimal transport and gradient flows.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Convergence of entropic schemes for optimal transport and gradient flows

Reference 7

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Source-reported events for the cited work

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Observation c4cf3609-60e3-4c35-8c07-19848f9e7217 · outbound

This paper cites Convergence rate of general entropic optimal transport costs.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Convergence rate of general entropic optimal transport costs

Reference 8

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Observation 094c6b7f-1d15-4a69-b395-6c4cecdaabdb · outbound

This paper cites and Marchand, M.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts and Marchand, M

Reference 9

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Observation f380a518-e4e5-4a51-a6c9-868fef44e60e · outbound

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General and Estimable Learning Bound Unifying Covariate and Concept Shifts Unresolved cited work

Reference 10

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Observation 438efee1-f3c8-489f-97db-f680486e78fe · outbound

This paper cites Joint distribution optimal transportation for domain adaptation.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Joint distribution optimal transportation for domain adaptation

Reference 11

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Observation 3aefe7d9-ffd2-464e-9ba8-e70af134c9e9 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Sinkhorn distances: Lightspeed computation of optimal transport

Reference 12

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Observation 8dcdfc69-54bb-43e5-aab0-0b81c1469e5f · outbound

This paper cites an unresolved cited work.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Unresolved cited work

Reference 13

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Observation 0245ae0f-9a2b-4b1b-951f-26799b6eaabb · outbound

This paper cites Efficient and accurate estimation of lipschitz constants for deep neural networks.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Efficient and accurate estimation of lipschitz constants for deep neural networks

Reference 14

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Observation cf04bedc-14bd-4398-9cd3-c39c39b3fe32 · outbound

This paper cites and Guillin, A.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts and Guillin, A

Reference 15

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Observation 2193c74b-c019-4495-9634-17d9821bbf8a · outbound

This paper cites and McCann, R.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts and McCann, R

Reference 16

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Observation 740bbbc4-ae22-4c94-adc8-b905f2589d61 · outbound

This paper cites Domain-adversarial training of neural networks.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Domain-adversarial training of neural networks

Reference 17

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Observation 6f2ebfec-5255-417f-bac4-5c8a2fdfcda2 · outbound

This paper cites and Meng, X.-L.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts and Meng, X.-L

Reference 18

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Observation 99f61b3b-3588-4f06-8c38-4a5c75e13068 · outbound

This paper cites Stochastic optimization for large-scale optimal transport.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Stochastic optimization for large-scale optimal transport

Reference 19

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Observation 6976e143-2550-4507-a095-3a293627d59f · outbound

This paper cites Domain adaptation for large-scale sentiment classification: A deep learning approach.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Domain adaptation for large-scale sentiment classification: A deep learning approach

Reference 20

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Observation 6ee03ba1-6df5-479e-ac4a-06829adf9226 · outbound

This paper cites What conditional probability could not be.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts What conditional probability could not be

Reference 21

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This paper cites An introduction to statistical learning, volume 112.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts An introduction to statistical learning, volume 112

Reference 22

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General and Estimable Learning Bound Unifying Covariate and Concept Shifts and Kallenberg, O

Reference 23

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Observation 2fce42ec-aa71-43b4-9453-a98f9e971bca · outbound

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

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Out-of-distribution generalization via risk extrapolation (rex)

Reference 24

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Observation 21766d72-b27a-4cdb-b436-d4a840032f82 · outbound

This paper cites Towards Out-Of-Distribution Generalization: A Survey.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Towards Out-Of-Distribution Generalization: A Survey

Reference 25

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This paper cites Learning transferable features with deep adaptation networks.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Learning transferable features with deep adaptation networks

Reference 26

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This paper cites G., Raeder, T., Alaiz-Rodr \' guez, R., Chawla, N.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts G., Raeder, T., Alaiz-Rodr \' guez, R., Chawla, N

Reference 27

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General and Estimable Learning Bound Unifying Covariate and Concept Shifts Novozymes Enzyme Stability Prediction , 2023

Reference 28

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General and Estimable Learning Bound Unifying Covariate and Concept Shifts Unresolved cited work

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Observation 558979da-c824-4e82-8f2b-2c663fc38034 · outbound

This paper cites Multi-adversarial domain adaptation.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Multi-adversarial domain adaptation

Reference 30

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Observation 0d440d20-6586-4db5-a59b-dec9074791b5 · outbound

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

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Fishr: Invariant gradient variances for out-of-distribution generalization

Reference 31

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Observation bb7a95c1-cc66-4d55-901a-4aa7f8bdedcf · outbound

This paper cites A stochastic gradient method with an exponential convergence \_rate for finite training sets.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts A stochastic gradient method with an exponential convergence \_rate for finite training sets

Reference 32

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8e074bd0-c4e7-4e1c-a657-2b157966c2e9 · outbound

This paper cites Wasserstein distance guided representation learning for domain adaptation.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Wasserstein distance guided representation learning for domain adaptation

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 33b19113-23e9-4215-9ed4-a6700af685de · outbound

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

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Covariate shift adaptation by importance weighted cross validation

Reference 34

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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General and Estimable Learning Bound Unifying Covariate and Concept Shifts and Saenko, K

Reference 35

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a412ab2d-c475-4967-bae4-2896dd9e7a21 · outbound

This paper cites and Fran c ois, D.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts and Fran c ois, D

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:47:19.401655Z digest=sha256:93b06c6f1c5888e85a0fcb798eec49c9f4452efeb9af1758b35becbeb982b5c7

Observation 2ce456c3-bb4e-45b0-8785-f5504819bb92 · outbound

This paper cites Towards a theoretical framework of out-of-distribution generalization.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Towards a theoretical framework of out-of-distribution generalization

Reference 37

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raw_fallback, observed 2026-08-07T00:47:20.959140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:47:19.461342Z digest=sha256:e40a506ab85d2af30b6b591bd2dc7fc81de7dc85f45484a44aaa0470ce12c559

Observation 61115556-da40-40d9-9ebf-29ef60b845e4 · outbound

This paper cites Nico++: Towards better benchmarking for domain generalization.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Nico++: Towards better benchmarking for domain generalization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:47:20.677714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:47:19.551023Z digest=sha256:f166d84b308756ddff36d166b4385547cb8ce5a7d3c748c2fcfb0320c6c1a1fb

Observation d6f5334b-7c3c-4328-be0a-ee613017a6de · outbound

This paper cites Bridging theory and algorithm for domain adaptation.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Bridging theory and algorithm for domain adaptation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:47:20.452828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:47:19.639563Z digest=sha256:4309259fe5d77804bf5d36f02413fc57e6b8960a96b12ae8c1e6e5017c072b5d

Observation 98bb3355-2779-408c-961a-3242b1c152c9 · outbound

This paper cites Unsupervised multi-class domain adaptation: Theory, algorithms, and practice.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts Unsupervised multi-class domain adaptation: Theory, algorithms, and practice

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:47:20.125982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:47:19.707555Z digest=sha256:b012a4d7c9673a3da75263ca153053d6095bd3c706b311de24ac4af5962245e6

Observation 371b2a89-48f9-48e4-88a3-dca9ecbf6ab0 · outbound

This paper cites T., Zhang, K., and Gordon, G.

General and Estimable Learning Bound Unifying Covariate and Concept Shifts T., Zhang, K., and Gordon, G

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T00:47:19.805557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:47:19.805557Z digest=sha256:b09dbf0bf5acf23749c33c2ec74a0a72b894ebbe472b69b88d963727a3bc2df9

Pith citing papers

No inbound Pith citation observations are available.