Dual-Path Stable Soft Prompt Generation for Domain Generalization | Paper Citation Record

Observation b3851154-9f71-41e6-83cb-0158e732df25 · outbound

This paper cites Domain general- ization: A survey,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain general- ization: A survey,

Reference 1

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Observation 70e0585a-67a1-44ae-86c4-b06f27bbb695 · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Generalizing to unseen domains: A survey on domain generalization,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:33.910869Z

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Observation d40e93fc-8a01-4279-b479-e76298f6326c · outbound

This paper cites Generalizing to unseen domains via adversarial data augmentation,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Generalizing to unseen domains via adversarial data augmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.474343Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ebde99e-3e21-49e4-8b0c-fa3744d0da1f · outbound

This paper cites A simple feature augmentation for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization A simple feature augmentation for domain generalization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.289633Z

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Observation 0b4c6ed9-20d9-4c71-aa54-5eb6b7a00b82 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Dual-Path Stable Soft Prompt Generation for Domain Generalization mixup: Beyond Empirical Risk Minimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.119648Z

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Observation 45796ff8-77ea-4ff6-a43d-bbab9d69d534 · outbound

This paper cites Domain generalization via invariant feature representation,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain generalization via invariant feature representation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.176320Z

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Observation f5527f58-f98c-4922-be51-4aea68bb22db · outbound

This paper cites Domain generalization with small data,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain generalization with small data,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.145876Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62450aa6-a4d6-4962-8fd6-4cfa2a01b571 · outbound

This paper cites Ensemble of averages: Improving model selection and boosting performance in domain gener- alization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Ensemble of averages: Improving model selection and boosting performance in domain gener- alization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:45.000553Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 014ed25d-6a98-4e45-b282-5186b8805875 · outbound

This paper cites Domain adaptation via prompt learning,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain adaptation via prompt learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.387196Z

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Observation 589d9d6e-ccaf-4ae0-a8e1-0f7ce88d5416 · outbound

This paper cites Prompt-based distribution alignment for unsupervised domain adaptation,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Prompt-based distribution alignment for unsupervised domain adaptation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:44.776215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6814aa9-faa1-42d2-9153-9b59880164ab · outbound

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

Dual-Path Stable Soft Prompt Generation for Domain Generalization Learning transferable visual models from natural language supervision,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.529806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6bfda7c-b6a6-43af-b431-39241ffe3198 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.595412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3d0ef34-3216-4b39-941c-0ba3fd46420a · outbound

This paper cites Learning to prompt for vision- language models,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Learning to prompt for vision- language models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.654802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9c31f9-b857-487a-bd06-383e5ae4aa40 · outbound

This paper cites Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.741589Z

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Observation 1162aaaf-69cf-4784-a5b2-c7d69785c281 · outbound

This paper cites Maple: Multi-modal prompt learning,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Maple: Multi-modal prompt learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:34.818344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c1cd7c-cf63-4375-877c-15ce25dc43cc · outbound

This paper cites Domain prompt learning for efficiently adapting clip to unseen domains,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain prompt learning for efficiently adapting clip to unseen domains,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:44.539308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67015d0c-2f63-4a0f-b509-7280fee28930 · outbound

This paper cites Soft prompt generation for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Soft prompt generation for domain generalization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:44.290230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3cce10dc-01a0-4816-bac6-00f5a138d361 · outbound

This paper cites Cbda: Contrastive-based data augmentation for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Cbda: Contrastive-based data augmentation for domain generalization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:44.023637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8963d02f-ecb5-4c39-a37d-c2c127c3cda8 · outbound

This paper cites Mixup-induced domain extrapolation for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Mixup-induced domain extrapolation for domain generalization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.785164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2be7144-e616-40d5-ae9e-31fbf02a76c3 · outbound

This paper cites Domain generalization with adversarial feature learning,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain generalization with adversarial feature learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:35.097705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2662f800-ed2b-4711-b841-ff506dc84607 · outbound

This paper cites Domain generalization via inter- domain alignment and intra-domain expansion,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain generalization via inter- domain alignment and intra-domain expansion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.582537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f28dec5-874d-426a-8ac0-f06b0b9a7a1a · outbound

This paper cites Domain-adversarial training of neural networks,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Domain-adversarial training of neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.403055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 264ee814-5816-4452-a30b-ea8a4381656f · outbound

This paper cites Deep domain generalization via conditional invariant adversarial networks,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Deep domain generalization via conditional invariant adversarial networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:35.397636Z

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Observation 9e9ab3af-f83f-4ddf-99a0-9ae6e891852c · outbound

This paper cites Invariant Risk Minimization.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Invariant Risk Minimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:35.510562Z

Source-reported events for the cited work

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Observation 67ed05cb-2f49-4064-9ed7-5b64ff7cf9f4 · outbound

This paper cites Invariant information bottleneck for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Invariant information bottleneck for domain generalization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.168446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1002d5f-5e56-4c18-8af8-ebb685d44906 · outbound

This paper cites Exploiting domain- specific features to enhance domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Exploiting domain- specific features to enhance domain generalization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:43.028298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0e3e15b-c2d5-4e04-b5f4-c36e6b0e4f58 · outbound

This paper cites Simple: Specialized model-sample matching for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Simple: Specialized model-sample matching for domain generalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.880589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b311f995-66a6-4b37-8264-eef2673fd261 · outbound

This paper cites Mixstyle neural networks for domain generalization and adaptation,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Mixstyle neural networks for domain generalization and adaptation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.727176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27fa6310-ffba-4e4a-adeb-12bccb55f247 · outbound

This paper cites Knowledge distillation-based domain-invariant representation learning for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Knowledge distillation-based domain-invariant representation learning for domain generalization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.579352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c60fa027-2372-49c9-a3af-67ea01007622 · outbound

This paper cites Boosting domain generalization by domain-aware knowledge distillation,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Boosting domain generalization by domain-aware knowledge distillation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.415967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11d0b151-1984-4748-bf91-92d0ca270ec8 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Learning to generalize: Meta-learning for domain generalization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.284486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4b31a4f-916e-4c94-9440-969f57c8ab21 · outbound

This paper cites Discriminative adversarial do- main generalization with meta-learning based cross-domain validation,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Discriminative adversarial do- main generalization with meta-learning based cross-domain validation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.133741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b727a7d7-d7cd-44dc-9fbc-13d5778fa290 · outbound

This paper cites Learning common and specific visual prompts for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Learning common and specific visual prompts for domain generalization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:42.033559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92661be1-a9c5-4389-b3cf-2a391db1eca8 · outbound

This paper cites PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization.

Dual-Path Stable Soft Prompt Generation for Domain Generalization PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:36.084962Z

Source-reported events for the cited work

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Observation 402067f9-56c6-425e-8305-57256cf06bb0 · outbound

This paper cites Consistent prompt learning for vision-language models,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Consistent prompt learning for vision-language models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:41.914169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57fe4ef1-290b-48eb-b516-900a66ee8451 · outbound

This paper cites Tip-adapter: Training-free adaption of clip for few-shot classification,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Tip-adapter: Training-free adaption of clip for few-shot classification,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:36.198006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc71646b-af73-4c92-8255-808d6afff780 · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Clip-adapter: Better vision-language models with feature adapters,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:36.245217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06fd343-9f38-4a4c-8a62-2c5243f90f5d · outbound

This paper cites Clipceil: Domain generalization through clip via channel refinement and image-text alignment,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Clipceil: Domain generalization through clip via channel refinement and image-text alignment,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:41.742392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f04a2b0-f00c-4543-8082-584f6db37e48 · outbound

This paper cites Stylip: Multi-scale style-conditioned prompt learning for clip-based domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Stylip: Multi-scale style-conditioned prompt learning for clip-based domain generalization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:41.587481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2f67598-09f9-4d58-8157-a1c2aa8d7a7b · outbound

This paper cites Disentangled prompt representation for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Disentangled prompt representation for domain generalization,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:36.415810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63602186-1200-47f8-8bb2-0d78a2a91b43 · outbound

This paper cites Ensembling disentangled domain-specific prompts for domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Ensembling disentangled domain-specific prompts for domain generalization,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:41.418089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2b063b9-13d3-4317-aaac-ee27aece9558 · outbound

This paper cites Conditional prompt learning for vision-language models,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Conditional prompt learning for vision-language models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:41.248625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e650738-86b3-4834-a8e7-4f4e6ca203bf · outbound

This paper cites Nlnl: Negative learning for noisy labels,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Nlnl: Negative learning for noisy labels,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:41.048691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e36f5134-c974-473c-9176-6e7a322150a4 · outbound

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

Dual-Path Stable Soft Prompt Generation for Domain Generalization A simple framework for contrastive learning of visual representations,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:36.642608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f9cfaa-c486-40be-a15f-a500cca54554 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Momentum contrast for unsupervised visual representation learning,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:36.697833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c47ab84-aac7-40f6-9a1c-e773b6df4433 · outbound

This paper cites Learning open set network with discriminative reciprocal points,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Learning open set network with discriminative reciprocal points,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:40.785482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65ec4c2d-a69f-4aac-87d1-efda6e3739e9 · outbound

This paper cites Argue: Attribute-guided prompt tuning for vision-language models,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Argue: Attribute-guided prompt tuning for vision-language models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:40.495025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 800772a8-3699-47da-9d44-1d8b28ed4823 · outbound

This paper cites Clipn for zero-shot ood detection: Teaching clip to say no,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Clipn for zero-shot ood detection: Teaching clip to say no,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:40.184328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd94fe83-80d2-44da-92e5-d7475b8fbd27 · outbound

This paper cites Learning transferable negative prompts for out-of-distribution detection,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Learning transferable negative prompts for out-of-distribution detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:39.837650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6057958c-6f45-41e2-bc1c-c66339487998 · outbound

This paper cites Semi- supervised learning with pseudo-negative labels for image classifica- tion,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Semi- supervised learning with pseudo-negative labels for image classifica- tion,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:39.566086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec55a492-0108-4e57-bd5c-8104d9ae7735 · outbound

This paper cites Vision-language models are strong noisy label detectors,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Vision-language models are strong noisy label detectors,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:39.380084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9a7fd13-a13d-4981-b28a-259de1df9702 · outbound

This paper cites Deeper, broader and artier domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Deeper, broader and artier domain generalization,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:37.042472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d950008-1c65-4f08-8e85-3fc3a153f7bc · outbound

This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:39.175878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03a4fd0c-153c-4e9d-a7d4-feec6e32f702 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Deep hashing network for unsupervised domain adaptation,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:37.182255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05614b97-23fd-4ad6-9e07-01f1531ba793 · outbound

This paper cites Recognition in terra incognita,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Recognition in terra incognita,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:38.941197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1257b819-bf59-4c84-8be9-4c5b1cbe1b93 · outbound

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

Dual-Path Stable Soft Prompt Generation for Domain Generalization Moment matching for multi-source domain adaptation,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:37.409295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6ac35b-7812-4cdd-8c20-dbe9ee594062 · outbound

This paper cites In search of lost domain generalization,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization In search of lost domain generalization,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:38.677906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5826920c-f232-4b52-a8bb-3bd4afbf0c31 · outbound

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

Dual-Path Stable Soft Prompt Generation for Domain Generalization Swad: Domain generalization by seeking flat minima,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:29:38.322825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2f9bdee-b5ef-488f-a24b-645e8e0715c4 · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Exploring Visual Prompts for Adapting Large-Scale Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:37.658386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d9006d5-5e40-44cd-bd74-25dd1dceaa55 · outbound

This paper cites Visual prompt tuning,.

Dual-Path Stable Soft Prompt Generation for Domain Generalization Visual prompt tuning,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:37.864637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers