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Paper Citation Record · LEDGER

Meta Curvature-Aware Minimization for Domain Generalization

As of 22 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 1 inbound Pith citation observation for arXiv:2412.11542.

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

pith.paper-citation-record.v1
2412.11542 v3

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:52:52.477412Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:46:07.245324Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:46:07.530514Z

Reference resolution

88 of 88 outbound references displayed

  • verified exact0
  • verified fuzzy71
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0604ff38-1cb0-41bc-9536-87028b871f2d · outbound

This paper cites Survey on deep neural networks in speech and vision systems.

Meta Curvature-Aware Minimization for Domain Generalization Survey on deep neural networks in speech and vision systems

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3db0c558-0263-4020-b63f-7ba62b1809f0 · outbound

This paper cites A state-of-the-art survey on deep learning theory and architectures.

Meta Curvature-Aware Minimization for Domain Generalization A state-of-the-art survey on deep learning theory and architectures

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 5847ddc8-bb89-4807-9a13-9613e0aef8a4 · outbound

This paper cites Towards understanding sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization Towards understanding sharpness-aware minimization

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e0ce8c43-7a78-40e5-a394-ccd7630da683 · outbound

This paper cites Invariant Risk Minimization.

Meta Curvature-Aware Minimization for Domain Generalization Invariant Risk Minimization

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7ea958f3-24e5-4b9f-9f6d-0a67e965ba83 · outbound

This paper cites Metareg: Towards domain generalization using meta- regularization.

Meta Curvature-Aware Minimization for Domain Generalization Metareg: Towards domain generalization using meta- regularization

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0bbd1b16-5893-42f6-857b-9a75cba17d00 · outbound

This paper cites Recognition in terra incognita.

Meta Curvature-Aware Minimization for Domain Generalization Recognition in terra incognita

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75820262-8aaa-46be-9bab-df6d36cf093d · outbound

This paper cites Domain generalization by marginal transfer learning.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization by marginal transfer learning

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4ff326fc-386b-485c-890f-6cd75da9c00e · outbound

This paper cites Ex- ploiting domain-specific features to enhance domain gener- alization.

Meta Curvature-Aware Minimization for Domain Generalization Ex- ploiting domain-specific features to enhance domain gener- alization

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 15e9add1-b8ec-420e-916a-93c1d0dd45df · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Swad: Domain generalization by seeking flat minima

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c40bc75c-9e99-42d9-933c-aa85ad121235 · outbound

This paper cites Domain generalization by mutual-information regu- larization with pre-trained models.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization by mutual-information regu- larization with pre-trained models

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8f798550-685d-41e1-908d-e5b662f69d85 · outbound

This paper cites When vision transformers outperform resnets without pre-training or strong data augmentations.

Meta Curvature-Aware Minimization for Domain Generalization When vision transformers outperform resnets without pre-training or strong data augmentations

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cb5f5d1c-c742-4bd1-9cfc-6c90e3a09b9a · outbound

This paper cites Treasure in distribution: a domain randomiza- tion based multi-source domain generalization for 2d medi- cal image segmentation.

Meta Curvature-Aware Minimization for Domain Generalization Treasure in distribution: a domain randomiza- tion based multi-source domain generalization for 2d medi- cal image segmentation

Reference 12

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raw_fallback, observed 2026-08-11T14:52:53.293760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ce074fd4-a122-4206-a88f-08e363583bc6 · outbound

This paper cites Madg: margin-based adversarial learning for domain gener- alization.

Meta Curvature-Aware Minimization for Domain Generalization Madg: margin-based adversarial learning for domain gener- alization

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.283863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 14b9cc1d-3eb0-40eb-8509-ff76fd4d8f16 · outbound

This paper cites Numerical meth- ods for unconstrained optimization and nonlinear equations.

Meta Curvature-Aware Minimization for Domain Generalization Numerical meth- ods for unconstrained optimization and nonlinear equations

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 57edd04d-83bd-40a6-8a56-afe6d8985467 · outbound

This paper cites Sharp minima can generalize for deep nets.

Meta Curvature-Aware Minimization for Domain Generalization Sharp minima can generalize for deep nets

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2c3e21ae-13c1-4539-b51d-01db3e58324d · outbound

This paper cites Efficient 9 sharpness-aware minimization for improved training of neu- ral networks.

Meta Curvature-Aware Minimization for Domain Generalization Efficient 9 sharpness-aware minimization for improved training of neu- ral networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.253103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9492a7e4-a0eb-4aa1-9c87-6f9be8081fe9 · outbound

This paper cites Unbiased met- ric learning: On the utilization of multiple datasets and web images for softening bias.

Meta Curvature-Aware Minimization for Domain Generalization Unbiased met- ric learning: On the utilization of multiple datasets and web images for softening bias

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 28374e05-3099-4519-9bdb-d31425cf7788 · outbound

This paper cites Curvature measures.

Meta Curvature-Aware Minimization for Domain Generalization Curvature measures

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 2026-08-21T06:32:19.484+00:00.

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Observation 4dc43afc-f488-48a8-830c-889f9a201290 · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

Meta Curvature-Aware Minimization for Domain Generalization Model- agnostic meta-learning for fast adaptation of deep networks

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b6de4cca-1328-4f95-8d64-6fe34095bf35 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization.

Meta Curvature-Aware Minimization for Domain Generalization Sharpness-aware minimization for efficiently improving generalization

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.207898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 19f7597d-7f7c-47b6-8c47-e34c6a274dbf · outbound

This paper cites Domain-adversarial training of neural networks.

Meta Curvature-Aware Minimization for Domain Generalization Domain-adversarial training of neural networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.196654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 47938e99-40b1-4c18-971a-115c24cd4c83 · outbound

This paper cites Loss surfaces, mode connectivity, and fast ensembling of dnns.

Meta Curvature-Aware Minimization for Domain Generalization Loss surfaces, mode connectivity, and fast ensembling of dnns

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.185097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 78d01ffa-7303-4ac9-9104-da72cef1b0ae · outbound

This paper cites In search of lost do- main generalization.

Meta Curvature-Aware Minimization for Domain Generalization In search of lost do- main generalization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.173468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c245944c-15a7-41e5-9788-11d58fc2b245 · outbound

This paper cites Deep residual learning for image recognition.

Meta Curvature-Aware Minimization for Domain Generalization Deep residual learning for image recognition

Reference 24

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5da0f23d-3c40-41d5-92f4-cf908c771fa0 · outbound

This paper cites Simplifying neu- ral nets by discovering flat minima.

Meta Curvature-Aware Minimization for Domain Generalization Simplifying neu- ral nets by discovering flat minima

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.155628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9ab85dcf-00c0-447b-84d6-1ef1ac9d03c7 · outbound

This paper cites Self-challenging improves cross-domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Self-challenging improves cross-domain generalization

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.146648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a975df1a-7133-4536-95e4-421da08e491f · outbound

This paper cites A survey of deep meta-learning.

Meta Curvature-Aware Minimization for Domain Generalization A survey of deep meta-learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.137093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9c8ad534-5ba0-47b9-b0e2-121a15b31a51 · outbound

This paper cites On the maximum hessian eigenvalue and generalization.

Meta Curvature-Aware Minimization for Domain Generalization On the maximum hessian eigenvalue and generalization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.127393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.253466Z digest=sha256:13ac8bc2f0f5569f9e923fecb1701b556b0e1c95ce5bf34b65ab5d7dbc99e2e9

Observation 5de714f1-be45-484a-8660-ae46e49890de · outbound

This paper cites On large- batch training for deep learning: Generalization gap and sharp minima.

Meta Curvature-Aware Minimization for Domain Generalization On large- batch training for deep learning: Generalization gap and sharp minima

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.118147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cc7d9b73-5d56-4d45-83fd-a9121f5b8f45 · outbound

This paper cites Domain generalization through meta-learning: a survey.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization through meta-learning: a survey

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.108107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e073a8c0-4317-48d3-8a40-e24a092d144f · outbound

This paper cites Selfreg: Self-supervised contrastive regu- larization for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Selfreg: Self-supervised contrastive regu- larization for domain generalization

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.095857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 053545a6-3df4-4d90-ab7c-0f41b02efc93 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Meta Curvature-Aware Minimization for Domain Generalization Adam: A Method for Stochastic Optimization

Reference 32

Resolution
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no resolver link, observed 2026-08-11T14:52:52.267898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cb716966-f92d-467f-817f-0679fb202bab · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Out-of-distribution gener- alization via risk extrapolation (rex)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.084325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.271497Z digest=sha256:631ccb4b83e19ffe93f94b87caeed3dc2a22531abc1220a6a4c44139689af2d7

Observation 2d09a371-e5c0-4a1d-a25a-399454fb7dc7 · outbound

This paper cites Fine-tuning can distort pre- trained features and underperform out-of-distribution.

Meta Curvature-Aware Minimization for Domain Generalization Fine-tuning can distort pre- trained features and underperform out-of-distribution

Reference 34

Resolution
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raw_fallback, observed 2026-08-11T14:52:53.073674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.274948Z digest=sha256:62d5a63bcc079cd27b90411dbea190956add490e54f7569f76abef0820593556

Observation c1c65576-6d6c-48ec-accc-673052ad5af8 · outbound

This paper cites Asam: Adaptive sharpness-aware minimiza- tion for scale-invariant learning of deep neural networks.

Meta Curvature-Aware Minimization for Domain Generalization Asam: Adaptive sharpness-aware minimiza- tion for scale-invariant learning of deep neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.062663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.278329Z digest=sha256:f8e655cc950bbca66e0c6568ce21c14cde03496fa10caf7bdb8c77f6b3ac66db

Observation 89a353f6-5529-449c-bb2e-0d04af9fc529 · outbound

This paper cites Adaptive estimation of a quadratic functional by model selection.

Meta Curvature-Aware Minimization for Domain Generalization Adaptive estimation of a quadratic functional by model selection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.052038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d4775886-1856-4621-bba3-8601fb7e57dc · outbound

This paper cites Gradient alignment for cross- domain face anti-spoofing.

Meta Curvature-Aware Minimization for Domain Generalization Gradient alignment for cross- domain face anti-spoofing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.041877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.285477Z digest=sha256:0fd4344d18dd14bae6d107d5a6a275a6a1a929bb7b3d565f53589cd283f0a9de

Observation 46953235-cecf-4ce2-9adc-9723c43d4fd4 · outbound

This paper cites Deeper, broader and artier domain generaliza- tion.

Meta Curvature-Aware Minimization for Domain Generalization Deeper, broader and artier domain generaliza- tion

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.031247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.289038Z digest=sha256:bf160b98b4169a2262b3392d079f5b3a94f6ec46116e680799e6128042eb05c2

Observation 07806511-c40e-419b-9cac-73dbcf972997 · outbound

This paper cites Learning to generalize: Meta-learning for do- main generalization.

Meta Curvature-Aware Minimization for Domain Generalization Learning to generalize: Meta-learning for do- main generalization

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.020881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.292286Z digest=sha256:288c56636131f76552697e7278878746991fc2d300aac100e5e0952d89842f8c

Observation a7cbe422-0a7a-415c-81f2-8724fa5fdedf · outbound

This paper cites Domain generalization with adversarial feature learning.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization with adversarial feature learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.011197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.295731Z digest=sha256:68c6cd93a5809c3d463dd34cec1d0c88bd918808699ba01d90458cee78f40dfe

Observation 481914bb-ee68-427d-a0d1-61c5163c9319 · outbound

This paper cites Visualizing the loss landscape of neural nets.

Meta Curvature-Aware Minimization for Domain Generalization Visualizing the loss landscape of neural nets

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:53.001935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.299132Z digest=sha256:32c2cb01512d3fcdd56861107f2f59d9d5c6bbba4623ec4f4d6ba0ffcb207aeb

Observation c4c1178b-4981-496e-93cd-519db4023139 · outbound

This paper cites Friendly sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization Friendly sharpness-aware minimization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.992328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.302966Z digest=sha256:de00d26c174fcdbc6398ee8439fbdc0a618e1e48259762ca965a6425be8eef07

Observation a795285e-7ed3-4a37-9d72-b344a09033ec · outbound

This paper cites Domain generalization via conditional invari- ant representations.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization via conditional invari- ant representations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.983316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.306445Z digest=sha256:e88130189e67b460430fd686d515e0f7980065ad1e9246de5c894f7b383210dd

Observation 828ae3e2-4ad7-41ff-81c9-e8c9a7e8a396 · outbound

This paper cites Deep domain generaliza- tion via conditional invariant adversarial networks.

Meta Curvature-Aware Minimization for Domain Generalization Deep domain generaliza- tion via conditional invariant adversarial networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.973475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.310291Z digest=sha256:0e83ee8cad979dcb3df5d0755c10293c46c25d76c091f5e8f1565cea30525730

Observation 54ac3519-de57-4446-a4ac-eb13a65b3bbc · outbound

This paper cites Ms- net: multi-site network for improving prostate segmentation with heterogeneous mri data.

Meta Curvature-Aware Minimization for Domain Generalization Ms- net: multi-site network for improving prostate segmentation with heterogeneous mri data

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.962766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.313566Z digest=sha256:28d4a2d8553fe6ac74b344d60eff07ad1b4158360cb0ec9ede5a90dedd9c7656

Observation 30edfb76-39ef-4fce-ba0f-005b7937a606 · outbound

This paper cites Towards efficient and scalable sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization Towards efficient and scalable sharpness-aware minimization

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.951979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.316975Z digest=sha256:a88b6180a2f87b436cb7596970cc85c8ee59ae2d23044c6a7e883fd1d6352672

Observation 7fd539f6-a6f2-47f5-915e-2f3b8fa914d9 · outbound

This paper cites Decoupled Weight Decay Regularization.

Meta Curvature-Aware Minimization for Domain Generalization Decoupled Weight Decay Regularization

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T14:52:52.320126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:52:52.320126Z digest=sha256:ec250877fda10839b9804f086d4d34aea1a03fc77c3b990d951e798623a09fb6

Observation 3104d51d-fbed-4fbf-9b8d-e543357b866c · outbound

This paper cites Pac-bayesian model averaging.

Meta Curvature-Aware Minimization for Domain Generalization Pac-bayesian model averaging

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.941356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.324046Z digest=sha256:840cc98bfcb716a4cd2d4da10ad7915d3b1b82197effea2ebc1e656be198183a

Observation 797ea6ab-eac0-4deb-8dc6-eda2170262e4 · outbound

This paper cites A survey on modeling and improving relia- bility of dnn algorithms and accelerators.

Meta Curvature-Aware Minimization for Domain Generalization A survey on modeling and improving relia- bility of dnn algorithms and accelerators

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.931150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.327147Z digest=sha256:951c13377e35acf0758e08eca071a016ad40913057ea48c4b3b62318f5184984

Observation 0f70330e-59ad-4e50-850d-a832df7f8f1a · outbound

This paper cites Domain generalization via invariant fea- ture representation.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization via invariant fea- ture representation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.919952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.330327Z digest=sha256:5d8ff889532e3b9a2894084072293c3840ed061d34ed10ebd14e5534a9054448

Observation 5e14e502-97eb-45d7-9a39-cf2e6b2cb638 · outbound

This paper cites Domain generaliza- tion via ensemble stacking for face presentation attack detec- tion.

Meta Curvature-Aware Minimization for Domain Generalization Domain generaliza- tion via ensemble stacking for face presentation attack detec- tion

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.909049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.333847Z digest=sha256:487a60d680ca4f7b51979599e139b3b3a6a32c41cb7f113c00a191c58b927c39

Observation d65df292-7d4e-4759-8886-46502bbae0d6 · outbound

This paper cites Reducing domain gap by reduc- ing style bias.

Meta Curvature-Aware Minimization for Domain Generalization Reducing domain gap by reduc- ing style bias

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.897862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.337446Z digest=sha256:98acb9513a06e1a6a5d287d4fb30e4fdb31e30978f9206f4403e33e1521451c7

Observation 0cb20140-15cb-46b5-a0e4-c6de289a9117 · outbound

This paper cites A method for solving the convex program- ming problem with convergence rate o (1/k2).

Meta Curvature-Aware Minimization for Domain Generalization A method for solving the convex program- ming problem with convergence rate o (1/k2)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.887070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.340746Z digest=sha256:6295cdaca71c64363cae6aa44596ab9521acf3193b409f6380759fc1c49e75a4

Observation e58ac36b-fdca-466d-be67-e41ecb98c013 · outbound

This paper cites Multi-view domain general- ization for visual recognition.

Meta Curvature-Aware Minimization for Domain Generalization Multi-view domain general- ization for visual recognition

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.877455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.344143Z digest=sha256:85570cd1be450e9be5dfe659d615056a1c26b2ba14fb46af9f0de6cbc70e72b7

Observation ca154410-8d36-4774-a850-3155916cd41f · outbound

This paper cites Numerical optimiza- tion.

Meta Curvature-Aware Minimization for Domain Generalization Numerical optimiza- tion

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.867627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.347464Z digest=sha256:524269978929c40c2e94d4bc1e2d5b91c1e4c967ce8f9d5ecce03506e711deea

Observation 2a0418b0-062e-400b-a063-0722cb3845ac · outbound

This paper cites Learning expla- nations that are hard to vary.

Meta Curvature-Aware Minimization for Domain Generalization Learning expla- nations that are hard to vary

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.857585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.350608Z digest=sha256:ddae64e869c89fee3910e7ab7ece85f41b1b28d9ac2a735e6d9528aaaa642aa4

Observation 5ec7d387-5d8a-49f1-a4f5-6b365ce89bd6 · outbound

This paper cites Moment matching for multi-source domain adaptation.

Meta Curvature-Aware Minimization for Domain Generalization Moment matching for multi-source domain adaptation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T14:52:52.353658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:52:52.353658Z digest=sha256:58c4805eedc73e1d340372462de46023860131a9edef806ce668aeaa9f09ac13

Observation 5acb7046-ea07-4d60-b653-bc0f9eb2e902 · outbound

This paper cites Domain agnostic learning with disentangled rep- resentations.

Meta Curvature-Aware Minimization for Domain Generalization Domain agnostic learning with disentangled rep- resentations

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.840892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.356905Z digest=sha256:39b4272eb4b0d457a8cb7babc0cf06dbc5951b6e71c12ae42f145a42244f471f

Observation d3216f4e-5350-4c4e-b174-779cf331c0c3 · outbound

This paper cites Ef- ficient domain generalization via common-specific low-rank decomposition.

Meta Curvature-Aware Minimization for Domain Generalization Ef- ficient domain generalization via common-specific low-rank decomposition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.830851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.360193Z digest=sha256:bac7152e7e1d79803f046a1cf2929467459b9a328e87832a48effb9b9d62dc42

Observation 156da635-5e65-4167-bd6e-667a6b9730f9 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Fishr: Invariant gradient variances for out-of-distribution generalization

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.819398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.363708Z digest=sha256:c017ea2b1ea01aeb1019f2f5a53badee23a833816170fe68a9f74b551e5ffa4b

Observation b0507052-7f0d-4446-bb3f-f2a776e27a09 · outbound

This paper cites Imagenet large scale visual recognition challenge.IJCV, 115:211–252,.

Meta Curvature-Aware Minimization for Domain Generalization Imagenet large scale visual recognition challenge.IJCV, 115:211–252,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T14:52:52.366642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:52:52.366642Z digest=sha256:b6538058cb4ecec32997bcbe49f5da29fc6f626603da7aab2605c5db19ee4520

Observation d24d03a2-9bd5-406f-bbcb-914359803ae8 · outbound

This paper cites Distributionally robust neural networks.

Meta Curvature-Aware Minimization for Domain Generalization Distributionally robust neural networks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.802401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.370065Z digest=sha256:b7e5c921425ab6309206b62392312dd652694522cb45e54327836c79adf81e53

Observation 16a85089-2741-4ccd-9d65-e3571b17c4d4 · outbound

This paper cites Learning from synthetic data: Addressing domain shift for semantic segmentation.

Meta Curvature-Aware Minimization for Domain Generalization Learning from synthetic data: Addressing domain shift for semantic segmentation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.791922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.373124Z digest=sha256:4a0853b7923ec11fde76035d097b4ee2e917fa90ae05d44e4c00160818f5741a

Observation c90b3220-5af5-4f57-9794-4e7820f8f4ee · outbound

This paper cites SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization.

Meta Curvature-Aware Minimization for Domain Generalization SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T14:52:52.376204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:52:52.376204Z digest=sha256:dad4c352dacfbd3c69b79bd49aa2093580cc149247ea07b870ef14fe9392a1cb

Observation 0625ed94-e679-4292-beb9-7ef8d0659aeb · outbound

This paper cites Multi-adversarial discriminative deep domain generalization for face presentation attack detection.

Meta Curvature-Aware Minimization for Domain Generalization Multi-adversarial discriminative deep domain generalization for face presentation attack detection

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.781111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.380290Z digest=sha256:1e19590171d1541f8869668b3e80afa7ef1877cd65b1a02874d62ac8ee760b15

Observation 5fd784fd-70e7-4c34-ada1-52a351fa8007 · outbound

This paper cites Gradient matching for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Gradient matching for domain generalization

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.770587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.383884Z digest=sha256:4df03ea3a1f2ac3c729a18b2ff30898e854f9566cd215f28838f27eba1d5ba6a

Observation b97d992f-7f3d-4b8a-9194-d692541fab41 · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation.

Meta Curvature-Aware Minimization for Domain Generalization Deep coral: Correlation alignment for deep domain adaptation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T14:52:52.387382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:52:52.387382Z digest=sha256:ad4b2e4bb72642b2e5a4e44f34579a86504140286413dc6040a67e99304b5c08

Observation 10eed3d9-ec20-4ba0-9bb4-5a6944d2b8e7 · outbound

This paper cites Rethinking domain generalization for face anti- spoofing: Separability and alignment.

Meta Curvature-Aware Minimization for Domain Generalization Rethinking domain generalization for face anti- spoofing: Separability and alignment

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.753020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.391883Z digest=sha256:e6ff0237bfd4427bdc82007b32274e058bae6c5c80b5e2ef1746d13544c3d1be

Observation dcb746ab-87c4-4e5f-8b27-af57c8eeb0dd · outbound

This paper cites Statistical learning theory.

Meta Curvature-Aware Minimization for Domain Generalization Statistical learning theory

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.742545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.395765Z digest=sha256:1f10c8b32f693d25a3cb28ef2914fef4035c650e577c523c53332d067e23b7ce

Observation a0fa7080-6c35-4a41-b673-36da15e01b42 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

Meta Curvature-Aware Minimization for Domain Generalization Deep hashing network for unsupervised domain adaptation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.732168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.399577Z digest=sha256:7b72acd83de4c8cc6b031f6ded1235baad0b438f696da471168423eba00fc3c3

Observation 0709fd73-b299-4235-b09c-f93b2cf23d14 · outbound

This paper cites Cross-domain face presentation attack detection via multi- domain disentangled representation learning.

Meta Curvature-Aware Minimization for Domain Generalization Cross-domain face presentation attack detection via multi- domain disentangled representation learning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.722271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.403002Z digest=sha256:e8703169dd7cd6de0495f41995ea2f55ab6819843da0f12703c8fed00958bec4

Observation 565cef6c-bd74-4b52-9b33-b79c2f39b336 · outbound

This paper cites Generalizing to unseen domains: A survey on do- main generalization.

Meta Curvature-Aware Minimization for Domain Generalization Generalizing to unseen domains: A survey on do- main generalization

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.712531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.406617Z digest=sha256:81eb5db098a8bafdbe7ea397e647df0f363d2f35311b9b01f4f2b857b78ceb29

Observation 133b4d15-135c-4344-a788-1ce92af13c09 · outbound

This paper cites Inter-class and inter- domain semantic augmentation for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Inter-class and inter- domain semantic augmentation for domain generalization

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.702609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.409959Z digest=sha256:e6a99eb3e294efa61afd606ea172e9d5c62718ec30ca4f11b07c975bbe42d75c

Observation f1633d30-fbc0-4a24-8dd5-f78978a00032 · outbound

This paper cites Sharpness-aware gradient matching for domain generaliza- tion.

Meta Curvature-Aware Minimization for Domain Generalization Sharpness-aware gradient matching for domain generaliza- tion

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.693120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.413637Z digest=sha256:c269575f64a110e460ed0d36ae99e99cef53672f7afecf1408dfbd57d36b8d47

Observation 65a934a2-06ae-4516-aeb7-1cac28e19e12 · outbound

This paper cites CR-SAM: Cur- vature regularized sharpness-aware minimization.

Meta Curvature-Aware Minimization for Domain Generalization CR-SAM: Cur- vature regularized sharpness-aware minimization

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.682338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.416917Z digest=sha256:e8b35ccd1237f0a7740840a6e3443a82ad7d59a20b19c28e0c4cf859c875f805

Observation f9cbfe86-2b16-49a7-832f-af56beb295ea · outbound

This paper cites Adversarial domain adaptation with domain mixup.

Meta Curvature-Aware Minimization for Domain Generalization Adversarial domain adaptation with domain mixup

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.672518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.420418Z digest=sha256:9db8ad9b3341c748caaa4a4b84332c4de25c5753cf99deff61a443e78f5d9c70

Observation 40b67b7e-8807-4ff0-ade8-12a6beae9993 · outbound

This paper cites Pyhessian: Neural networks through the lens of the hessian.

Meta Curvature-Aware Minimization for Domain Generalization Pyhessian: Neural networks through the lens of the hessian

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.662693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.423620Z digest=sha256:8ee5e078c5a3264f21eeedd4d8060fdf863660fb03d5b07bfe508a31af94b3a1

Observation c0092b16-f32b-43e6-bc68-a5598b4144ac · outbound

This paper cites Adahessian: An adap- tive second order optimizer for machine learning.

Meta Curvature-Aware Minimization for Domain Generalization Adahessian: An adap- tive second order optimizer for machine learning

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.652001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.427025Z digest=sha256:0c6c7f1c3fa9711261e4893d70bc5b990eb8a5c2e0a766ad01c0bf1f52d528c7

Observation 31c2903e-543b-4db2-bc50-851c1dca5cc4 · outbound

This paper cites Adaptive methods for nonconvex optimization.

Meta Curvature-Aware Minimization for Domain Generalization Adaptive methods for nonconvex optimization

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.641797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.430439Z digest=sha256:741c4f2072c764d8d02f9660774274edacf813455e8b398358985f60df20f98f

Observation a59525d2-81a6-4574-b795-e979b24d2782 · outbound

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

Meta Curvature-Aware Minimization for Domain Generalization Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-11T14:52:52.433838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:52:52.433838Z digest=sha256:dde2fdcc5180fc2f3eef1911e1ded8a2c1d959bf36a88890772a958ae87bb1d8

Observation 530a2b29-2eb4-48e1-8dfc-76c3869e5004 · outbound

This paper cites Flatness-aware minimization for domain generalization.

Meta Curvature-Aware Minimization for Domain Generalization Flatness-aware minimization for domain generalization

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.631513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.437987Z digest=sha256:ef658e4351fd2f2a21174d9dcdb7a941828b603d9b71298bf3c9d1e8a6ef4f83

Observation 9ccc9f8b-a785-4730-8d5b-7123850f6ff4 · outbound

This paper cites Gradient norm aware minimization seeks first-order flatness and improves generalization.

Meta Curvature-Aware Minimization for Domain Generalization Gradient norm aware minimization seeks first-order flatness and improves generalization

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.621083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.458537Z digest=sha256:9aab2cf85136e47b7370eb335ea4630c4703e4512dfae7228c9346063fe5f684

Observation 6c78b31a-6e5c-4ebb-b840-6e6687efac36 · outbound

This paper cites Learning to generate novel domains for domain gen- eralization.

Meta Curvature-Aware Minimization for Domain Generalization Learning to generate novel domains for domain gen- eralization

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.610612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.462171Z digest=sha256:f3b712632de401f0370bbcff9f1dece18c928cc0040bd7a909767b192a2c8fd3

Observation f37760d0-f1f3-4643-8e55-aef25b0ec0ed · outbound

This paper cites Do- main generalization with mixstyle.

Meta Curvature-Aware Minimization for Domain Generalization Do- main generalization with mixstyle

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.599737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.465525Z digest=sha256:03b8231839c7bc79fe0496f6d6769f7fbc596087fae7f5caa2d1fa849a0cac01

Observation 6bbd0812-0061-4e64-9173-2703d93f044b · outbound

This paper cites Do- main adaptive ensemble learning.

Meta Curvature-Aware Minimization for Domain Generalization Do- main adaptive ensemble learning

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.589250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.468610Z digest=sha256:d32b12b7129edac30f9933218c993bd3e2dd5482664434be2460904d21e75e22

Observation 205019b5-f32f-42be-9d8e-0e597bebbb06 · outbound

This paper cites Domain generalization: A survey.

Meta Curvature-Aware Minimization for Domain Generalization Domain generalization: A survey

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.579117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.471568Z digest=sha256:2d0631d42a8ea4d0bc5a3fae9b277a3b2dc3822df571c3a73b29c24196750196

Observation cd202653-796b-46f4-830a-1a6cb9850468 · outbound

This paper cites Adabelief optimizer: Adapting stepsizes by the belief in observed gradients.

Meta Curvature-Aware Minimization for Domain Generalization Adabelief optimizer: Adapting stepsizes by the belief in observed gradients

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.569040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.474431Z digest=sha256:07ee0a0954e9ed020381381a5d7969c8ff011f91011b12adc3a60f2f1e204d44

Observation 9bcbafe6-c6f2-4e99-97ee-f52572ff85f6 · outbound

This paper cites Surrogate gap minimization improves sharpness- aware training.

Meta Curvature-Aware Minimization for Domain Generalization Surrogate gap minimization improves sharpness- aware training

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:52:52.559055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T14:52:52.477412Z digest=sha256:03585fb90664aec3e7d61c9b9a51972ccc404d2de7675878b354f4f959cbc1ac

Pith citing papers

Observation b9badfeb-b257-4744-9610-a75eb0c991a7 · inbound

Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations cites this paper.

Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations Meta Curvature-Aware Minimization for Domain Generalization

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:46:07.544494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:07.245324Z digest=sha256:081ada2d44cab17168929c159856a56288e0a87b1ab4f212993c7eb87343f8de