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Paper Citation Record · LEDGER

Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2006.10963.

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

pith.paper-citation-record.v1
2006.10963 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:32.697070Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

95
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8b3692c5-17bd-4132-abf9-293775424f5b · inbound

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

Tent: Fully Test-time Adaptation by Entropy Minimization Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 5

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arxiv_id, observed 2026-05-16T10:09:24.372482Z

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=pdf_text observed=2026-05-16T10:09:24.356624Z digest=sha256:ab7431bd158e14b4a76214519671f9f1ca17f4dfc0938c5b5fcce53a02e3f4d3

Observation df93c680-921d-4bde-8c18-153fc4e64149 · inbound

Adaptive Camera Sensor for Vision Models cites this paper.

Adaptive Camera Sensor for Vision Models Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 9

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arxiv_id, observed 2026-05-23T02:17:24.492437Z

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 252966a8-73d4-45d1-9000-add7f69519ae · inbound

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks cites this paper.

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 25

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arxiv_id, observed 2026-05-22T16:01:46.022194Z

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 b6bb2402-efc8-40bf-a050-fa7ae8cb6410 · inbound

Test-Time Adaptation with Binary Feedback cites this paper.

Test-Time Adaptation with Binary Feedback Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 2003

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no resolver link, observed 2026-08-07T14:35:32.697070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:32.697070Z digest=sha256:ce16e1afef90e3bdb0c077bdf43cc82ef53c05a231c30c97c8fc3a2bf854f0c2

Observation b2d9fbbf-a8fd-4f7e-97c2-465b68d5862a · inbound

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds cites this paper.

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 17

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no resolver link, observed 2026-08-07T14:16:49.870205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:49.870205Z digest=sha256:c7bbee2a103cd076242915a46f5ab5091e5fb18a28aa2b16377a0f3a74786c37

Observation 1946b67f-0f00-4619-aa8d-5983a8ba7afe · inbound

Test-Time Learning for Large Language Models cites this paper.

Test-Time Learning for Large Language Models Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 53

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no resolver link, observed 2026-08-07T13:56:01.590736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:56:01.590736Z digest=sha256:333183f3582b341ecd217af94caa3975f129f49b371932347ff647d448ba40d3

Observation 8c281d2e-f855-43ee-9965-8783ff20156b · inbound

Frequency Composition for Compressed and Domain-Adaptive Neural Networks cites this paper.

Frequency Composition for Compressed and Domain-Adaptive Neural Networks Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 28

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source=pdf_text observed=2026-08-07T13:50:35.659801Z digest=sha256:28be24f48ee8e8553f95bdd1bfd16a6d32d0008b8d3c06027dacdcb3414ca903

Observation c0fa4f21-9acd-4a0a-83b3-c95fd6569925 · inbound

Maximizing Confidence Alone Improves Reasoning cites this paper.

Maximizing Confidence Alone Improves Reasoning Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 29

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no resolver link, observed 2026-08-07T13:07:49.080279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83a41bd0-0ec1-46c1-a7b2-0399a0ca7454 · inbound

SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation cites this paper.

SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 39

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source=arxiv_source observed=2026-08-07T04:56:11.803422Z digest=sha256:0e8618459b58fefdd36cd89ca59d2b31f21bf2bd8f10c071efb35823cdb81a5d

Observation 490a2777-9fd1-498a-b718-385ebbfdf2b5 · inbound

Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation cites this paper.

Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 48

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:54:08.059471Z digest=sha256:b02ba724e0570ea65203b874fcc6f81ee66ff68ab156cfd61f9e903b24cc239e

Observation 7be0fe9d-a8f3-4063-8554-35434418694d · inbound

Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalization cites this paper.

Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalization Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 48

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no resolver link, observed 2026-08-06T23:52:47.680971Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:47.680971Z digest=sha256:9a363ec497b800ef386e539891b9b69b27224d3ff32a41614b2c95fec13cac72

Observation 0cb0da7d-bb95-4607-b5a9-f996d3ac2979 · inbound

Single Image Test-Time Adaptation via Multi-View Co-Training cites this paper.

Single Image Test-Time Adaptation via Multi-View Co-Training Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 19

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no resolver link, observed 2026-08-06T21:40:40.971992Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:40:40.971992Z digest=sha256:d0668ddd15c981ff8b4c7378b7dd6a962061500c5c0c05ddc9b8c3cc7194514f

Observation 8a87fca0-c562-4284-880a-82324a2bc303 · inbound

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

CTA: Cross-Task Alignment for Better Test Time Training Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 18

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no resolver link, observed 2026-08-06T19:35:42.375780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:42.375780Z digest=sha256:fdcbd408efff6c7dace93216cd655e1bc2d5f9d0d3efa7976ce462bf1788de9d

Observation 53e4f320-5b58-4320-90b8-43a396c6aedf · inbound

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation cites this paper.

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 31

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source=pdf_text observed=2026-08-06T17:45:10.347656Z digest=sha256:f3df0e89b630fec373156026cd5675944d867fc072977ef159d66eaa74928742

Observation 89b82b46-2aff-4f4c-b132-eb183933a1e1 · inbound

TAPS : Frustratingly Simple Test Time Active Learning for VLMs cites this paper.

TAPS : Frustratingly Simple Test Time Active Learning for VLMs Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 24

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no resolver link, observed 2026-08-06T13:58:12.680831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:58:12.680831Z digest=sha256:ccfade08f5989e5a011a672a15dcb1b93c3714603359188938e8598e3f593f6f

Observation 56fdd4ec-1a93-4c33-8b68-a13d4768a02e · inbound

Domain Adaptation via Feature Refinement cites this paper.

Domain Adaptation via Feature Refinement Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 62

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no resolver link, observed 2026-08-05T17:34:52.861953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:34:52.861953Z digest=sha256:65853fc460c74b2b3420720cbab9aedbaa22fa5530358ef719e9fae57b607064

Observation 10add843-b238-4b72-960e-f456cd7aee5b · inbound

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization cites this paper.

Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 81

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no resolver link, observed 2026-08-05T05:47:59.283143Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:47:59.283143Z digest=sha256:14bc34117bb639cfeb27c2ef4d064cc978a1cecaa0d5653a5eb8c9c65d220d7d

Observation e506a26d-291f-4c2b-8a3b-e246227b5aa3 · inbound

CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift cites this paper.

CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 21

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arxiv_id, observed 2026-05-10T23:00:48.478339Z

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=pdf_text observed=2026-05-10T19:25:45.748667Z digest=sha256:80b285d0da3f2c4ac18c9ac2c79daa5fc04f5562815eabd6bd8f141d7b6b16cf

Observation 5962644d-9df8-4dcb-9870-88915fbf6837 · inbound

Models Know Their Shortcuts: Deployment-Time Shortcut Mitigation cites this paper.

Models Know Their Shortcuts: Deployment-Time Shortcut Mitigation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 6

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arxiv_id, observed 2026-05-11T08:46:00.843401Z

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=pdf_text observed=2026-05-10T16:29:36.288743Z digest=sha256:2014a6a177e499a8b1fa413684d3a019592fd8fd6934f8f9d806f63b82bc326f

Observation f3e1699d-da12-413b-a3f5-6bd1597ac29e · inbound

Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm cites this paper.

Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 42

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arxiv_id, observed 2026-05-15T02:33:32.621976Z

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=2026-05-15T02:29:49.803834Z digest=sha256:71086c654643e78737d69761276bbbd2873f04be5bd52b3b782361f5f8a7c463

Observation 732d812b-0308-4692-9dbf-6b46442f7d54 · inbound

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models cites this paper.

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 56

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arxiv_id, observed 2026-05-20T14:23:21.512453Z

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=pdf_text observed=2026-05-20T14:20:49.278545Z digest=sha256:b67ac32c4cb4f1a1db1fe708997b811b683ef1316b694fea20c81f236b446da8

Observation 58eaaca1-c0ce-4c8e-befb-c97775c904a2 · inbound

GoTTA be Diverse: Rethinking Memory Policies for Test-Time Adaptation cites this paper.

GoTTA be Diverse: Rethinking Memory Policies for Test-Time Adaptation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 5

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arxiv_id, observed 2026-05-20T05:28:05.013107Z

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=pdf_text observed=2026-05-20T05:25:15.311060Z digest=sha256:ca0fc55db51d68d5adc727b8662e0c3613c1810fdfae1f1ec10f0cb26b539877

Observation 4dfe4666-8717-4710-9004-6e62fd381632 · inbound

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment cites this paper.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 17

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arxiv_id, observed 2026-06-28T19:02:34.377276Z

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=2026-06-28T18:57:24.395744Z digest=sha256:e9e2dc97c075a9ae1cc7b73f25fce4e48a23b8fdcbcb470df3c3cf67f74f09c6

Observation c8f5c12d-7b78-4a6a-833c-49e3b6707f38 · inbound

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging cites this paper.

Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 54

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arxiv_id, observed 2026-07-01T21:56:16.089773Z

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

source=pdf_text observed=2026-06-28T15:57:22.450141Z digest=sha256:8e9029183314b401e6b924a2e0c996f4d05844e4c871670d50b47713d6c51ae8

Observation 012baf78-f136-46fa-9ee6-497ca420a599 · inbound

GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging cites this paper.

GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 53

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arxiv_id, observed 2026-06-27T05:20:35.454175Z

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

source=pdf_text observed=2026-06-27T05:11:13.768584Z digest=sha256:65edeb1c3c5c6724a53851e9933a37fe5f70c6d5ce1de3a3c4099ae594f12403

Observation 6eff7009-2db9-4b93-91a8-9cf1650627fa · inbound

T-VSS: Test-Time Visual Subspace Steering for Adversarial Robustness of Vision-Language Models cites this paper.

T-VSS: Test-Time Visual Subspace Steering for Adversarial Robustness of Vision-Language Models Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 31

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arxiv_id, observed 2026-07-04T09:49:44.994610Z

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 b2c065e9-bd90-47ac-a269-f06ef8e9e97a · inbound

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation cites this paper.

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 70

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arxiv_id, observed 2026-07-01T17:15:50.951077Z

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=pdf_text observed=2026-06-29T04:05:22.253489Z digest=sha256:0dbca6453d43e26e2593fbb57b88e669569dfb365d05e656083da25747ebfdd0

Observation 62a7bb39-d9b9-4ae7-9633-374c20778fbb · inbound

Multi-Hypothesis Test-Time Adaptation to Mitigate Underspecification cites this paper.

Multi-Hypothesis Test-Time Adaptation to Mitigate Underspecification Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 17

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arxiv_id, observed 2026-07-02T19:17:17.790181Z

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=pdf_text observed=2026-07-02T19:09:29.932096Z digest=sha256:61ed5681ab399b57c87a91d4e12934800473da77a51935217b2f97bd42cdfe25

Observation 19c0fac8-4415-42ef-afa6-e5137e2819e5 · inbound

CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift cites this paper.

CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 19

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no resolver link, observed 2026-08-01T23:50:20.188132Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:50:20.188132Z digest=sha256:816cca6391b5a34bf6810ff6de0b53b34a7b42bc021d29a719b6d1eac8097c8b

Observation 74f4c4f2-df14-49da-be0b-33c51359db7c · inbound

Test-Time Curriculum for Open-Set AIGC Detection cites this paper.

Test-Time Curriculum for Open-Set AIGC Detection Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 9

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source=arxiv_source observed=2026-08-05T00:46:23.128400Z digest=sha256:96de5e5fd23bd499a07ec8224f894ba5b2495abd2fe5f9c9d5a5e1da717c53ab

Observation c7da6e17-06ad-45ad-a441-84ae18ad418e · inbound

SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation cites this paper.

SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 18

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no resolver link, observed 2026-08-06T00:32:22.614687Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:32:22.614687Z digest=sha256:aec06f288d3e1e88c84f876235e282a5e477100f72f854f1af7bb6d5f4130516