Paper Citation Record · LEDGER

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training

As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2411.17869.

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

pith.paper-citation-record.v1
2411.17869 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:49:56.663152Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:35:42.320474Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:35:42.509468Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy15
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bad3168-1f6d-44f8-95b0-eb877faebf1a · outbound

This paper cites Unbiased look at dataset bias.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Unbiased look at dataset bias

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.494648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d0b93d-719c-44a4-b37e-c2ae00e69bb0 · outbound

This paper cites Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.170431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e914aad1-7116-4c28-91fe-28ee878fade1 · outbound

This paper cites Domain Generalization with MixStyle.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Domain Generalization with MixStyle

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.507267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e193235-1bc4-49e3-a73a-f2ddfce5fe14 · outbound

This paper cites Swad: Domain generalization by seeking flat minima.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Swad: Domain generalization by seeking flat minima

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.153153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f15e0ff9-d44c-4a14-8f06-0eb9bf427b25 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Deep hashing network for unsupervised domain adaptation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.520136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df5bfdf-1c34-43d7-9cbe-84af4811aedc · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.124485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9fc4476-a9cd-4205-b532-9a9f8bc9113b · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Test-time training with self-supervision for generalization under distribution shifts

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.105312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 430cea9b-3d7c-491c-a6bb-425b88f7361e · outbound

This paper cites Clust3: Information invariant test-time training.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Clust3: Information invariant test-time training

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.086080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e4df4220-db2a-4e59-bfa8-3aabc4061787 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training A simple framework for contrastive learning of visual representations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.545316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30cc80f-641e-4fd0-9930-4c69b0e16b7b · outbound

This paper cites Learning transferable visual models from natural language supervision.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Learning transferable visual models from natural language supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.550433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df3a493e-293b-4b87-bfd8-d8e95d02cc68 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Momentum contrast for unsupervised visual representation learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.045115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06e63c61-c27e-4962-a082-ac192e339fc2 · outbound

This paper cites Recontrast: Domain-specific anomaly detection via contrastive reconstruction.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Recontrast: Domain-specific anomaly detection via contrastive reconstruction

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.027055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6779b844-af1e-4ea1-8dae-0dfb9e575f69 · outbound

This paper cites Adapting visual category models to new domains.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Adapting visual category models to new domains

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:57.008473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ac50eadb-ef6e-4269-b560-2419a63a83db · outbound

This paper cites Domain generalization: A survey.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Domain generalization: A survey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:56.990981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d0467cb-e18d-4c76-99bf-03cf3ccda258 · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.576238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d713dac-d400-4ff3-8783-cdaf5b5a7dad · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.582639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a666ce4-21b3-46ca-a974-1348ad6cecf1 · outbound

This paper cites Tipi: Test time adaptation with transformation invariance.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Tipi: Test time adaptation with transformation invariance

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:56.974245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f460a0a5-4996-445e-81e3-4c207dce69ba · outbound

This paper cites Test-time training with masked autoencoders.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Test-time training with masked autoencoders

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:56.957330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cdd13ab7-ee4b-4c6f-8c8b-a6320607cac8 · outbound

This paper cites Tttflow: Unsupervised test-time training with normalizing flow.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Tttflow: Unsupervised test-time training with normalizing flow

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:56.939124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f11f8f7e-347e-4f5d-b123-d31357135060 · outbound

This paper cites Contrastive test-time adaptation.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Contrastive test-time adaptation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.605695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98f549c0-94bc-49fb-9683-eb609aa7183a · outbound

This paper cites Divide and contrast: Source-free domain adaptation via adaptive contrastive learning.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Divide and contrast: Source-free domain adaptation via adaptive contrastive learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:56.910384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2eba4ed2-c700-4aae-86cc-72b4ec5ab8ad · outbound

This paper cites Ttt++: When does self-supervised test-time training fail or thrive? Advances in Neural Information Processing Systems, 34:21808–21820, 2021.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Ttt++: When does self-supervised test-time training fail or thrive? Advances in Neural Information Processing Systems, 34:21808–21820, 2021

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.616452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b765484-2562-459f-9985-e40e4548ddbd · outbound

This paper cites Nc-ttt: A noise constrastive approach for test-time training.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Nc-ttt: A noise constrastive approach for test-time training

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:56.880972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41c04bea-109a-4f8b-bc93-df5b7dc2e1c5 · outbound

This paper cites Exploring simple siamese representation learning.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Exploring simple siamese representation learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.627335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66cc8277-5c7b-4bd6-a654-1ef45315fbbc · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.632643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0b492ad-9e24-4b67-b59a-68c0830ddaf6 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International conference on machine learning , pages 5389–5400.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Do imagenet classifiers generalize to imagenet? In International conference on machine learning , pages 5389–5400

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.637934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ab39a0-f345-4a26-92ca-ccc120ceb0ce · outbound

This paper cites Visda: A synthetic- to-real benchmark for visual domain adaptation.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Visda: A synthetic- to-real benchmark for visual domain adaptation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:56.841160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d10e206-9574-4de9-bb6c-e1ecc251ee14 · outbound

This paper cites A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.647806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66bda530-c78a-43a9-ae01-c56dfca418df · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Imagenet: A large-scale hierarchical image database

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.653111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4888d235-91e3-4f0b-8bdc-e336670473ae · outbound

This paper cites Deep residual learning for image recognition.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Deep residual learning for image recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.657972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec475ed-6f77-48c7-bbf8-fe14ee6ef2df · outbound

This paper cites Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training Surgical Fine-Tuning Improves Adaptation to Distribution Shifts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T11:49:56.663152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 393be6f0-b236-4205-bf55-18b05d725bf3 · inbound

CTA: Cross-Task Alignment for Better Test Time Training cites this paper.

CTA: Cross-Task Alignment for Better Test Time Training ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:35:42.515151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.