Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:18:58.462484Z
Paper Citation Record · LEDGER
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance
As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.05328.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy35
- unresolved11
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 048ed004-b6a1-4318-b538-a056fd2ce57a · outbound
This paper cites Invariance principle meets information bottleneck for out-of-distribution generalization.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Invariance principle meets information bottleneck for out-of-distribution generalization
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 46877374-97a4-4568-9245-919044b0b615 · outbound
This paper cites Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:05.993416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a1b2c735-9f7c-4561-b603-5c2befadb598 · outbound
This paper cites Measuring and regularizing networks in function space.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Measuring and regularizing networks in function space
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:05.799956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c4ca31a5-84a6-467d-9b5d-3c4ecd61394f · outbound
This paper cites Benjamin, David Rolnick, and Konrad P.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Benjamin, David Rolnick, and Konrad P
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:05.643975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e866bfaa-11bd-454f-8fdc-e0f7d9584593 · outbound
This paper cites A kernel perspective for regularizing deep neural networks.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance A kernel perspective for regularizing deep neural networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:05.512306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2536b163-3795-459a-a815-667777c921d9 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance On the Opportunities and Risks of Foundation Models
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e922b3c4-0747-4439-bb71-fbc39b725330 · outbound
This paper cites Language models are few-shot learners.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Language models are few-shot learners
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:05.342197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3184fcc2-c5ad-440e-81c2-e40b4da94b13 · outbound
This paper cites Burt, Sebastian W.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Burt, Sebastian W
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:05.163182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6d507fc-6af5-47d6-884e-e78d99185cb1 · outbound
This paper cites Multi-dimensional graph linear canonical transform and its application.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Multi-dimensional graph linear canonical transform and its application
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:04.993051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 96bf8135-f627-45e5-a519-d92c9496ee96 · outbound
This paper cites an unresolved cited work.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Unresolved cited work
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 69e45dc3-a6be-4df3-8d77-9926c4830f72 · outbound
This paper cites Randaugment: Practical automated data augmentation with a reduced search space.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Randaugment: Practical automated data augmentation with a reduced search space
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52b23391-d67a-4c33-8e14-94219982750a · outbound
This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Improved Regularization of Convolutional Neural Networks with Cutout
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8398e4a6-733a-4a40-a686-24bcfb614515 · outbound
This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Sharpness-Aware Minimization for Efficiently Improving Generalization
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 822d4dc4-b54f-4dc0-8c46-5b194bc30b91 · outbound
This paper cites Domain-adversarial training of neural networks.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Domain-adversarial training of neural networks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:04.734729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation feaddcaf-7a14-497f-b8cb-72cff7283759 · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Explaining and Harnessing Adversarial Examples
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:18:54.638568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54e471a8-9ae7-4698-bdb4-d0b302b5600a · outbound
This paper cites Finetune like you pretrain: Improved finetuning of zero-shot vision models.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Finetune like you pretrain: Improved finetuning of zero-shot vision models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:04.617286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 00a58674-3260-412c-8860-c26e1bdd5592 · outbound
This paper cites Natural adversarial examples.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Natural adversarial examples
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:04.435802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ae1cd150-c0b2-40eb-a35f-9740f16d743e · outbound
This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwi ´n´ska, et al.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwi ´n´ska, et al
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 06fa13d7-7e51-4e7c-998d-c3cfd4ae17f1 · outbound
This paper cites Fine- tuning can distort pretrained features and underperform out-of-distribution.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Fine- tuning can distort pretrained features and underperform out-of-distribution
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:04.018772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation efb3a25b-3fc0-490b-8c2c-1ca19ff5a704 · outbound
This paper cites Invariant risk minimization is a total variation model.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Invariant risk minimization is a total variation model
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4236980f-8a52-485e-9585-7d980e67a7ff · outbound
This paper cites Temporal ensembling for semi-supervised learning.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Temporal ensembling for semi-supervised learning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:03.697160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a29d2beb-35de-4a15-a804-3ae4ca5a41fd · outbound
This paper cites Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 395b9e7a-3289-4ee9-8ebb-4c81ad207dd9 · outbound
This paper cites Towards Out-Of-Distribution Generalization: A Survey.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Towards Out-Of-Distribution Generalization: A Survey
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90b4e3b6-a939-4252-80e5-d0ce0da01c26 · outbound
This paper cites Context-aware robust fine-tuning.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Context-aware robust fine-tuning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:03.506859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ccc2cbb2-aaf5-4939-8aa1-14355c33fb7f · outbound
This paper cites Virtual adversarial training: a regularization method for supervised and semi-supervised learning.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Virtual adversarial training: a regularization method for supervised and semi-supervised learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:03.324104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b725fcee-f2f7-4e80-9125-761dbf2d2939 · outbound
This paper cites Fine-tuning can cripple your foundation model; preserving features may be the solution.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Fine-tuning can cripple your foundation model; preserving features may be the solution
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:03.155497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4c0c4f38-2ddb-4746-a073-691aa13cccce · outbound
This paper cites Lipsum-ft: Robust fine-tuning of zero-shot models using random text guidance.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Lipsum-ft: Robust fine-tuning of zero-shot models using random text guidance
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:02.950964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2c7c1d1b-f1f9-4bd3-af83-346ecb6fb7ea · outbound
This paper cites Dawin: Training- free dynamic weight interpolation for robust adaptation, 2024.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Dawin: Training- free dynamic weight interpolation for robust adaptation, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:02.759973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3e2eb97c-d966-48bc-87b5-c2f23c92211d · outbound
This paper cites Towards calibrated robust fine-tuning of vision-language models.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Towards calibrated robust fine-tuning of vision-language models
Reference 29
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 18dfb3fa-e357-4ff0-a17c-d74b837e2713 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Learning transferable visual models from natural language supervision
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b739e9e-6033-48f5-a48c-3d5bb4714cf2 · outbound
This paper cites an unresolved cited work.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 77555c9a-5609-46bc-abba-aa9697d96b9f · outbound
This paper cites Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a5fa252-2898-4fad-a74e-ac66a18ee5ca · outbound
This paper cites Distributionally robust neural networks for group shifts.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Distributionally robust neural networks for group shifts
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f9d02673-0e4a-44c4-9a86-216c9d96067f · outbound
This paper cites A survey on image data augmentation for deep learning.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance A survey on image data augmentation for deep learning
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 02b8642f-88c2-4a34-b976-a5f83ec89cae · outbound
This paper cites Functional variational bayesian neural networks.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Functional variational bayesian neural networks
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7580d697-8bd0-4b94-a562-2732e30cbb1a · outbound
This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:01.492215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08b3e648-a071-4737-b7a9-9047aa7d0c11 · outbound
This paper cites Trainable projected gradient method for robust fine-tuning.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Trainable projected gradient method for robust fine-tuning
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:01.201877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6aad521-ebf2-4567-bb72-7db2dc4c235d · outbound
This paper cites Fast trainable projection for robust fine-tuning.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Fast trainable projection for robust fine-tuning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:00.851141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 535965ea-241a-49c4-a8ac-7c3ee4dc62fd · outbound
This paper cites Titsias, Jonathan Schwarz, Alexander de G.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Titsias, Jonathan Schwarz, Alexander de G
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:00.516016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5de40286-0ece-4119-9074-b8823dec067d · outbound
This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:00.266506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f403aad4-9157-41bd-84cf-c3f916a39b0b · outbound
This paper cites Robust fine-tuning of zero-shot models.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Robust fine-tuning of zero-shot models
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:19:00.017137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 688ea115-962f-4f1a-90fb-77aa34fb401f · outbound
This paper cites Unsupervised data augmentation for consistency training.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Unsupervised data augmentation for consistency training
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:18:59.833162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7f0c4ef5-aa84-4436-9cbb-e496becb7cad · outbound
This paper cites Explicit inductive bias for transfer learning with convolutional networks.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Explicit inductive bias for transfer learning with convolutional networks
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:18:59.585902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7db4a190-a5ce-4b73-a909-3ebdfe7323a4 · outbound
This paper cites Sample efficiency of data augmentation consistency regularization.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Sample efficiency of data augmentation consistency regularization
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:18:59.389194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5ab9e1a7-072c-4062-8927-75a87fe598d2 · outbound
This paper cites Learning to generate novel domains for domain generalization.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Learning to generate novel domains for domain generalization
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:18:59.111736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 85768466-0be4-4837-bdc7-a84b155cfec4 · outbound
This paper cites Domain generalization with mixstyle.
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance Domain generalization with mixstyle
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:18:58.839098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.