Paper Citation Record · LEDGER

Variance-reduced Domain Adaptation using Paired Sampling

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.20367.

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

pith.paper-citation-record.v1
2607.20367 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:08:01.853550Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd1beb85-f5b5-44a7-8dfc-250e166bb3d7 · outbound

This paper cites doi: 10.1109/CVPR46437.2021.01411.

Variance-reduced Domain Adaptation using Paired Sampling doi: 10.1109/CVPR46437.2021.01411

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:07:59.827254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f4a2ee4-fb43-4b93-98bf-b1d91a2bd745 · outbound

This paper cites Deep Residual Learning for Image Recognition.Pro- ceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016-December: 770–778, 12.

Variance-reduced Domain Adaptation using Paired Sampling Deep Residual Learning for Image Recognition.Pro- ceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016-December: 770–778, 12

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:07:59.984197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad0ad99-8c15-4d06-afe6-c049f8ea5d6c · outbound

This paper cites URLhttps://link.springer.com/article/10.1007/s10994-009-5152-4.

Variance-reduced Domain Adaptation using Paired Sampling URLhttps://link.springer.com/article/10.1007/s10994-009-5152-4

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:07:59.582054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fcb7b50-a6df-47b9-9e9e-9126c749f5bc · outbound

This paper cites Accelerating Stochastic Gradient Descent Using Antithetic Sampling.

Variance-reduced Domain Adaptation using Paired Sampling Accelerating Stochastic Gradient Descent Using Antithetic Sampling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.345364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78e62be-1303-46d7-b84c-b38a0d116b95 · outbound

This paper cites URL https://proceedings.mlr.press/v37/long15.html.

Variance-reduced Domain Adaptation using Paired Sampling URL https://proceedings.mlr.press/v37/long15.html

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.439112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0840ed54-ad64-41e6-8ec3-c26d5a84a225 · outbound

This paper cites Conditional Adversarial Domain Adaptation.

Variance-reduced Domain Adaptation using Paired Sampling Conditional Adversarial Domain Adaptation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.531073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005ebd33-9173-4e09-90b6-8c7fdcee3a05 · outbound

This paper cites Variance Reduced Training with Stratified Sampling for Forecasting Models.

Variance-reduced Domain Adaptation using Paired Sampling Variance Reduced Training with Stratified Sampling for Forecasting Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.621435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38eae021-1801-4f99-807c-2420cea0aad2 · outbound

This paper cites Improving Distribution Alignment with Diversity-based Sampling.

Variance-reduced Domain Adaptation using Paired Sampling Improving Distribution Alignment with Diversity-based Sampling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.923545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4eac77a-acfa-48b1-beb4-db334a326241 · outbound

This paper cites doi: 10.1037/met0000301.

Variance-reduced Domain Adaptation using Paired Sampling doi: 10.1037/met0000301

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.013924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e65ac9-9584-40c3-995d-feab09904750 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Variance-reduced Domain Adaptation using Paired Sampling Deep Domain Confusion: Maximizing for Domain Invariance

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.179338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5065cb91-cf66-4905-b847-841b0605b741 · outbound

This paper cites Deep Hashing Network for Unsupervised Domain Adaptation.

Variance-reduced Domain Adaptation using Paired Sampling Deep Hashing Network for Unsupervised Domain Adaptation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.345123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18c8d07-51bc-40af-b1fd-6d77482a65ae · outbound

This paper cites doi: 10.1609/AAAI.V33I01.33015741.

Variance-reduced Domain Adaptation using Paired Sampling doi: 10.1609/AAAI.V33I01.33015741

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.601666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea457229-fa15-4b89-b9bf-71e5976efdf9 · outbound

This paper cites Adaptive Risk Minimization: Learning to Adapt to Domain Shift.

Variance-reduced Domain Adaptation using Paired Sampling Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.682267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a12201-8573-49b8-b239-6012386c369d · outbound

This paper cites Free Lunch for Domain Adversarial Training: Environment Label Smoothing.

Variance-reduced Domain Adaptation using Paired Sampling Free Lunch for Domain Adversarial Training: Environment Label Smoothing

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.785373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 942b6ad4-567c-4ccf-93d0-ab21cac44309 · outbound

This paper cites Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling.

Variance-reduced Domain Adaptation using Paired Sampling Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.853550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4e336a-a204-43fb-a716-195303d83922 · outbound

This paper cites doi: 10.1080/00401706.1962.10490022.

Variance-reduced Domain Adaptation using Paired Sampling doi: 10.1080/00401706.1962.10490022

Reference 1962

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.503562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca3c9cd-6982-4074-9575-8f5852d3495f · outbound

This paper cites Deep Hashing Network for Unsupervised Domain Adaptation.CVPR 2017,.

Variance-reduced Domain Adaptation using Paired Sampling Deep Hashing Network for Unsupervised Domain Adaptation.CVPR 2017,

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.274082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d73c0b-6f5c-4a8d-bb58-6083a8aaf2e8 · outbound

This paper cites URLhttps://dl.acm.org/doi/10.1145/1553374.1553380.

Variance-reduced Domain Adaptation using Paired Sampling URLhttps://dl.acm.org/doi/10.1145/1553374.1553380

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-01T10:07:59.718200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b1aca69-eb3a-4c33-b843-d48aedea5050 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Variance-reduced Domain Adaptation using Paired Sampling Adam: A Method for Stochastic Optimization

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.199466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b00a07-df5a-467a-9042-9e783ed87269 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Variance-reduced Domain Adaptation using Paired Sampling Deep Residual Learning for Image Recognition

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.072422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d40b7e1-f5f7-44b0-ac94-2c6f7c8e1aff · outbound

This paper cites Deep CORAL: Correlation Alignment for Deep Domain Adaptation.

Variance-reduced Domain Adaptation using Paired Sampling Deep CORAL: Correlation Alignment for Deep Domain Adaptation

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.091792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d957f5ce-aa32-4561-b7a9-cc591600c4df · outbound

This paper cites URLhttps://proceedings.mlr.press/v54/fu17a.

Variance-reduced Domain Adaptation using Paired Sampling URLhttps://proceedings.mlr.press/v54/fu17a

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-01T10:07:59.895335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81351ab-85f0-4da3-9f4e-f3295c63f6d7 · outbound

This paper cites doi: 10.1109/CVPR.2018.00566.

Variance-reduced Domain Adaptation using Paired Sampling doi: 10.1109/CVPR.2018.00566

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.282182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb0339f3-af01-48fe-aa71-544472be0445 · outbound

This paper cites doi: 10.1109/CVPR.2019.01155.

Variance-reduced Domain Adaptation using Paired Sampling doi: 10.1109/CVPR.2019.01155

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.416966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fccb7bc5-2998-4f8f-a755-487d1d6a765d · outbound

This paper cites Minimum Class Confusion for Versatile Domain Adaptation.

Variance-reduced Domain Adaptation using Paired Sampling Minimum Class Confusion for Versatile Domain Adaptation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.145417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236d4515-3e9d-4c26-9b24-7254d0096ce3 · outbound

This paper cites Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD.

Variance-reduced Domain Adaptation using Paired Sampling Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T10:07:59.312766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a6d1d27-ba3e-4134-9199-6f3618be6fb9 · outbound

This paper cites Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases.

Variance-reduced Domain Adaptation using Paired Sampling Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:00.786795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3cfa12d-7017-4c01-a5cc-bae6f405e4b2 · outbound

This paper cites A Fast and Effective Method for Euclidean Anticlustering: The Assignment-Based-Anticlustering Algorithm.

Variance-reduced Domain Adaptation using Paired Sampling A Fast and Effective Method for Euclidean Anticlustering: The Assignment-Based-Anticlustering Algorithm

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T10:07:59.401967Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.