Paper Citation Record · LEDGER

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 2 inbound Pith citation observations for arXiv:2507.03304.

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

pith.paper-citation-record.v1
2507.03304 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:17:33.743609Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:28.447490Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:53:33.960468Z

Reference resolution

58 of 58 outbound references displayed

verified exact1
verified fuzzy35
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 367629b1-06fd-44bf-8af8-a12ad636b06d · outbound

This paper cites Robust cross-modal representation learning with progressive self- distillation.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Robust cross-modal representation learning with progressive self- distillation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:30.662544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c7174f9-cb10-461d-8361-32a23f45ea8e · outbound

This paper cites Person30k: A dual-meta general- ization network for person re-identification.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Person30k: A dual-meta general- ization network for person re-identification

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.311524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 625d2206-bb91-4a9e-b088-a9f8acd006fd · outbound

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

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Ex- ploiting domain-specific features to enhance domain gener- alization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.302108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c46aa49c-7926-4040-aacf-81d74b420993 · outbound

This paper cites Domain generalization by solving jigsaw puzzles.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Domain generalization by solving jigsaw puzzles

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.293311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83fe79c4-12a6-4c3f-8875-4dce30852bc1 · outbound

This paper cites Vggsound: A large-scale audio-visual dataset.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Vggsound: A large-scale audio-visual dataset

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.285032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca91e6ad-7b25-4850-ba6a-1cd22ec982d5 · outbound

This paper cites Uniter: Universal image-text representation learning.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Uniter: Universal image-text representation learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:31.100518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2284a4b-3ff1-4c65-97d7-a6ee1734dc99 · outbound

This paper cites Club: A contrastive log-ratio up- per bound of mutual information.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Club: A contrastive log-ratio up- per bound of mutual information

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.271871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7235d909-7359-4f44-a604-e0d0da7610e4 · outbound

This paper cites Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Robustnet: Improving domain generalization in urban-scene segmentation via in- stance selective whitening

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.262285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76568704-939d-4ba7-b555-2531e143678e · outbound

This paper cites Openmmlab’s next generation video understanding toolbox and benchmark.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Openmmlab’s next generation video understanding toolbox and benchmark

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.253281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0d48e055-6574-4c8c-9a5b-3142ba062454 · outbound

This paper cites Scaling egocentric vision: The epic-kitchens dataset.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Scaling egocentric vision: The epic-kitchens dataset

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.243179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1ec1c8e-4551-4c30-8080-8f31d01b84cd · outbound

This paper cites Simmmdg: A simple and effective framework for multi-modal domain generalization.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Simmmdg: A simple and effective framework for multi-modal domain generalization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.234404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8136cfee-7770-41b1-be7e-ae6e20088cf3 · outbound

This paper cites Towards mul- timodal open-set domain generalization and adaptation through self-supervision.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Towards mul- timodal open-set domain generalization and adaptation through self-supervision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.224985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7551c2b5-df3c-4027-b81d-a1c2b3935fed · outbound

This paper cites Multi-modal align- ment using representation codebook.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Multi-modal align- ment using representation codebook

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.216171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 054b1fa6-6cf8-47af-8382-67846ed614dc · outbound

This paper cites Cross-modal representation flattening for multi-modal do- main generalization.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Cross-modal representation flattening for multi-modal do- main generalization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.208054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40d239d3-9cd2-4cac-a313-79ab721ea3d0 · outbound

This paper cites Ace: A generative cross-modal retrieval framework with coarse-to-fine semantic modeling.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Ace: A generative cross-modal retrieval framework with coarse-to-fine semantic modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:31.731723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32bfe891-36d2-4b79-a35d-3dd57f575f5d · outbound

This paper cites Slowfast networks for video recognition.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Slowfast networks for video recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:31.828849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aab43cb-8fb3-423a-9c37-4e3974d0e37e · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:31.994571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ae10b5-14ce-4b08-8abd-2159760e5ae9 · outbound

This paper cites Domain-adversarial training of neural networks.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Domain-adversarial training of neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.194868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62b183e1-9bb4-4426-adb8-5d3a9d5dc224 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Imagebind: One embedding space to bind them all

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:32.233001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f52017b-2b61-49a6-8f99-1983ff533651 · outbound

This paper cites Learning Shared Semantic Space for Speech-to-Text Translation.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Learning Shared Semantic Space for Speech-to-Text Translation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:32.349703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672a4428-19a5-42d5-80db-97b04e360d6a · outbound

This paper cites Mixgen: A new multi- modal data augmentation.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Mixgen: A new multi- modal data augmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.183265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 72a52d41-58aa-433a-860e-cda34ffc7a6a · outbound

This paper cites Deep residual learning for image recognition.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Deep residual learning for image recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:32.574686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5116977-16d3-4b68-b859-77414f9c3c14 · outbound

This paper cites Enhancing Multimodal Unified Representations for Cross Modal Generalization.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Enhancing Multimodal Unified Representations for Cross Modal Generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:32.719103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e332a5bf-2105-4644-b886-cbb5985d958b · outbound

This paper cites Semantic residual for multimodal unified discrete representation.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Semantic residual for multimodal unified discrete representation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.170036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c6a9cf2-7ba9-45a6-b35f-a0b2098824d7 · outbound

This paper cites Overcoming both domain shift and label shift for referring video segmentation.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Overcoming both domain shift and label shift for referring video segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.160480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d58d270-e56e-480d-8f6c-e2db95288fdc · outbound

This paper cites Modality competition: What makes joint training of multi-modal network fail in deep learn- ing?(provably).

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Modality competition: What makes joint training of multi-modal network fail in deep learn- ing?(provably)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.150997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 215936f2-5b94-4727-bf94-9c0c718462e4 · outbound

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

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Self-challenging improves cross-domain generalization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.142163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e06b915-609c-48b9-a755-b4cb14c9aebf · outbound

This paper cites The Kinetics Human Action Video Dataset.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations The Kinetics Human Action Video Dataset

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.384873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 906275a0-1dc9-43df-b581-9eff0201ce3b · outbound

This paper cites Supervised contrastive learning.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Supervised contrastive learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.525005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece49bbc-b443-4e35-a483-7030e21f7ca1 · outbound

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

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Learning to generalize: Meta-learning for do- main generalization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.127998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de586f03-dbb5-4607-b641-327b72510c13 · outbound

This paper cites Domain generalization for med- ical imaging classification with linear-dependency regular- ization.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Domain generalization for med- ical imaging classification with linear-dependency regular- ization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.118896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a796008-bc33-4c1b-bc93-88294838052a · outbound

This paper cites Cross-Modal Discrete Representation Learning.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Cross-Modal Discrete Representation Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.666611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c65e704-fbf4-466e-89c6-9418f63b6845 · outbound

This paper cites Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous fre- quency space.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous fre- quency space

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.109865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 804d2320-b95d-4157-a804-a18d31913ab4 · outbound

This paper cites Unified-io: A unified model for vision, language, and multi-modal tasks.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Unified-io: A unified model for vision, language, and multi-modal tasks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.101332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b655176-915c-432c-a424-59cafb054e08 · outbound

This paper cites Do- main generalisation via risk distribution matching.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Do- main generalisation via risk distribution matching

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.092456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ecb813f9-36db-44a4-a33c-4bd6f24d62fa · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.677254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd8d279-07a5-40f5-bf63-bf0ab16a0799 · outbound

This paper cites Causality-inspired single- source domain generalization for medical image segmenta- tion.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Causality-inspired single- source domain generalization for medical image segmenta- tion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.079762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f62ac8d6-b12d-4f7b-9f23-028cd51ac077 · outbound

This paper cites Two at once: Enhancing learning and generalization capacities via ibn-net.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Two at once: Enhancing learning and generalization capacities via ibn-net

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.071718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0dfb147a-8649-456e-8643-73fe8cb170ff · outbound

This paper cites Audio-visual speech recognition with a hybrid ctc/attention architecture.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Audio-visual speech recognition with a hybrid ctc/attention architecture

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.685007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235b3f85-4e5e-4de5-9357-d3a68211a5dc · outbound

This paper cites Domain generalization through audio- visual relative norm alignment in first person action recog- nition.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Domain generalization through audio- visual relative norm alignment in first person action recog- nition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.059536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8abcd8e-0385-4cf5-b14f-903b0c4cf40a · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Learn- ing transferable visual models from natural language super- vision

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.690248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840e71de-0fed-49d7-8705-117c18b55733 · outbound

This paper cites Domain generalization of 3d semantic segmenta- tion in autonomous driving.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Domain generalization of 3d semantic segmenta- tion in autonomous driving

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.046466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab3faffb-3a66-45b9-9aeb-2def61d19010 · outbound

This paper cites Xkd: Cross-modal knowl- edge distillation with domain alignment for video represen- tation learning.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Xkd: Cross-modal knowl- edge distillation with domain alignment for video represen- tation learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.037073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57f60cfa-bad4-45c9-9323-aeb604e93460 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Domain randomization for transferring deep neural networks from simulation to the real world

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.704652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35372632-7d31-427b-963e-610a229af351 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Deep Domain Confusion: Maximizing for Domain Invariance

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.706889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d4e4a51-aac1-4641-a3e7-efe0001d5e29 · outbound

This paper cites IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.709950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76050e3-8300-4e75-97d3-7c85a440b111 · outbound

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

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Generalizing to unseen domains: A survey on do- main generalization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.024699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55207443-e347-4e52-9919-a7340aa99d6d · outbound

This paper cites Towards Transformer-Based Aligned Generation with Self-Coherence Guidance.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Towards Transformer-Based Aligned Generation with Self-Coherence Guidance

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.715241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5288a065-ccd6-40ea-b0a5-a03739c47ffc · outbound

This paper cites Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.717661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a04a520-0c9b-4136-b36a-ee9a8c11bacd · outbound

This paper cites Achiev- ing cross modal generalization with multimodal unified rep- resentation.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Achiev- ing cross modal generalization with multimodal unified rep- resentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:34.011211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d0b7965f-640f-441b-84b8-2ab63eabcc06 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations mixup: Beyond Empirical Risk Minimization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.723554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78852ac-f983-4f70-9ce7-22d74d7406c8 · outbound

This paper cites Towards effective multi-modal interchanges in zero-resource sounding object localization.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Towards effective multi-modal interchanges in zero-resource sounding object localization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:17:33.726778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 274f3c99-efa3-4402-8f0c-0942b630b3b1 · outbound

This paper cites Deep domain-adversarial image generation for do- main generalisation.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Deep domain-adversarial image generation for do- main generalisation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:33.998204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce04ae21-10af-465f-a1ce-205d586acd9b · outbound

This paper cites The feature dimensions for video, audio, and optical flow are 2304, 512, and 2048, respec- tively.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations The feature dimensions for video, audio, and optical flow are 2304, 512, and 2048, respec- tively

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:33.987896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 198db991-3e51-4860-aba8-d3d4dc5bb88c · outbound

This paper cites In contrast, our proposed approach sub- stantially improves their performance in the MMDG set- ting.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations In contrast, our proposed approach sub- stantially improves their performance in the MMDG set- ting

Reference 55

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:17:33.826037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39431b76-be70-446e-9b0d-6c8f699dff9e · outbound

This paper cites Notably, our method exhibits minimal fluctuations across all parame- ter settings, indicating a lower sensitivity to hyperparameter selection.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations Notably, our method exhibits minimal fluctuations across all parame- ter settings, indicating a lower sensitivity to hyperparameter selection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:33.977922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f164fdb5-87d3-4fab-b0a4-8b278bc93993 · outbound

This paper cites We do not ab- late Lcls since it is essential for classification.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations We do not ab- late Lcls since it is essential for classification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:33.968234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19bb939f-7ff0-444f-99ea-caac1b72b22b · outbound

This paper cites It can be observed that the gen- eral and specific information of each modality are well- separated and consistently aligned across domains.

Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations It can be observed that the gen- eral and specific information of each modality are well- separated and consistently aligned across domains

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:17:33.959004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation bdc993b6-96dd-4fdc-b61a-fd7b27d75e34 · inbound

Open-set Cross Modal Generalization via Multimodal Unified Representation cites this paper.

Open-set Cross Modal Generalization via Multimodal Unified Representation Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:28.447490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211054c5-9651-4fd4-aa8f-cb0ac8b06d73 · inbound

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal cites this paper.

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:53:34.006173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.