Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T21:03:09.170915Z
Paper Citation Record · LEDGER
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment
As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2606.00170.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved46
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2d8eb59d-7129-483f-ab47-cba5171f80df · outbound
This paper cites The in- fluencesofemotiononlearningandmemory.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment The in- fluencesofemotiononlearningandmemory
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e026fce-260e-4dd7-a8fd-98c03f17834b · outbound
This paper cites Facial expression and emotion.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Facial expression and emotion
Reference 2
- Resolution
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Unavailable: canonical work link unavailable.
Observation b5294bf4-e939-44f7-81f4-4576da7d3b57 · outbound
This paper cites Facial emotion expressions inhuman–robotinteraction:Asurvey.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Facial emotion expressions inhuman–robotinteraction:Asurvey
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d9529df-76ae-40fd-8613-26d6665514af · outbound
This paper cites an unresolved cited work.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Unresolved cited work
Reference 4
- Resolution
- unresolved
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Observation 3a234dcf-9dac-4168-b4ba-3c8c48d5e9b5 · outbound
This paper cites an unresolved cited work.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Unresolved cited work
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a41fac19-0551-4fe3-bac1-de0274e0e283 · outbound
This paper cites Eeg-based emo- tion recognition using hierarchical network with subnetwork nodes.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Eeg-based emo- tion recognition using hierarchical network with subnetwork nodes
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T21:03:09.170915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c92b53ae-b34f-4a78-8481-b5a8552776d8 · outbound
This paper cites Eeg emotion recognition using fusion model of graph convolutional neural net- works and lstm.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Eeg emotion recognition using fusion model of graph convolutional neural net- works and lstm
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T21:03:09.170915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eee5f880-c44f-4d4a-9b12-aeb49ec20d30 · outbound
This paper cites Lgdaan-nets: A localandglobaldomainadversarialattentionneuralnetworksforeeg emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Lgdaan-nets: A localandglobaldomainadversarialattentionneuralnetworksforeeg emotion recognition
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe58808a-7f8d-4078-bc43-27604ab57658 · outbound
This paper cites an unresolved cited work.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Unresolved cited work
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34fceeea-269e-40d1-9ec5-52a96239ed10 · outbound
This paper cites AdvancesinNeuralInformationProcessing Systems 28.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment AdvancesinNeuralInformationProcessing Systems 28
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37e69118-c00b-49e1-995a-8326cf304d0d · outbound
This paper cites Attention is all you need.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Attention is all you need
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b1c4f0e-1ff8-43cb-9ef1-d0a48ef8fea9 · outbound
This paper cites Transformers foreeg-basedemotionrecognition:Ahierarchicalspatialinformation learning model.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Transformers foreeg-basedemotionrecognition:Ahierarchicalspatialinformation learning model
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78eca196-6f2e-43d5-9c3f-97bf4ec521e0 · outbound
This paper cites Temporal relative transformer encoding cooperating with channel attention for eeg emotion analysis.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Temporal relative transformer encoding cooperating with channel attention for eeg emotion analysis
Reference 13
- Resolution
- unresolved
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Unavailable: canonical work link unavailable.
Observation 95ecf6c3-e469-476e-9c49-8e88b6a7c3d9 · outbound
This paper cites Aflemp: Attention-based federated learning for emotion recognition using multi-modal physiological data.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Aflemp: Attention-based federated learning for emotion recognition using multi-modal physiological data
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56b818d2-d781-405b-8a5a-20838df7155e · outbound
This paper cites Emsn: An energy-efficient memristive sequencer network for human emotion classification in mental health monitoring.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Emsn: An energy-efficient memristive sequencer network for human emotion classification in mental health monitoring
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fd23830-464c-4272-bddf-258ad87f63a9 · outbound
This paper cites Dema: Deep eeg-first multi-physiological affect model for emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Dema: Deep eeg-first multi-physiological affect model for emotion recognition
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1a7ce73-f7e6-4f72-9976-f0de251121e0 · outbound
This paper cites Incongruity- awaremultimodalphysiologysignalsfusionforemotionrecognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Incongruity- awaremultimodalphysiologysignalsfusionforemotionrecognition
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99f8457f-9d8d-4d3e-bda6-0759aae4106b · outbound
This paper cites Efficient low-rank multimodal fusion with modality-specificfactors,in:Proceedingsofthe56thAnnualMeeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Efficient low-rank multimodal fusion with modality-specificfactors,in:Proceedingsofthe56thAnnualMeeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69dc237a-d4be-40ec-b899-277cfbfd6cfa · outbound
This paper cites Emotion recognitionfrommultiplephysiologicalsignalsusingintra-andinter- modality attention fusion network.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Emotion recognitionfrommultiplephysiologicalsignalsusingintra-andinter- modality attention fusion network
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9524d47-689a-485a-b0bf-d7f0a85e8345 · outbound
This paper cites Mf-net: a multimodalfusionnetworkforemotionrecognitionbasedonmultiple Wang et al.:Preprint submitted to ElsevierPage 16 of 17 physiological signals.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Mf-net: a multimodalfusionnetworkforemotionrecognitionbasedonmultiple Wang et al.:Preprint submitted to ElsevierPage 16 of 17 physiological signals
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb46552e-ccf2-461f-a4b4-d79d6db42ff7 · outbound
This paper cites an unresolved cited work.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Unresolved cited work
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e8a04c5-531c-49c8-b9ef-bf898da9dfb7 · outbound
This paper cites Multi-source domain separation adversarial domain adaptation for eeg emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Multi-source domain separation adversarial domain adaptation for eeg emotion recognition
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d43723b4-5734-4999-9762-942c2f886e20 · outbound
This paper cites an unresolved cited work.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Unresolved cited work
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0791a36f-743c-4f55-870e-e18c76e58434 · outbound
This paper cites The Journal of Machine Learning Research 13, 723–773.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment The Journal of Machine Learning Research 13, 723–773
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bc63738-f0a1-465b-baf2-01a8ef2a0266 · outbound
This paper cites Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:26:13.632019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4b8484ba-7bd2-4aaa-b8b1-c5c808a7e4bd · outbound
This paper cites Mlda: Multi- loss domain adaptor for cross-session and cross-emotion eeg-based individual identification.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Mlda: Multi- loss domain adaptor for cross-session and cross-emotion eeg-based individual identification
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91278187-7011-49d3-8340-815d751f3999 · outbound
This paper cites Spatiotemporal isomorphic cross-brain region interaction network for cross-subject eeg emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Spatiotemporal isomorphic cross-brain region interaction network for cross-subject eeg emotion recognition
Reference 27
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 848d5e97-4d58-4e4b-a7ec-8c9a84925ec0 · outbound
This paper cites Hierarchical multimodal-fusion of physiological signals for emotion recognition withscenarioadaptionandcontrastivealignment.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Hierarchical multimodal-fusion of physiological signals for emotion recognition withscenarioadaptionandcontrastivealignment
Reference 28
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77c249e2-1f6a-4fda-9f39-89eab23091a8 · outbound
This paper cites Emotion recognition empowered human-computer interaction with domain adaptation network.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Emotion recognition empowered human-computer interaction with domain adaptation network
Reference 29
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a402cda-e14a-4150-8918-18b5d3990c82 · outbound
This paper cites Cfda-csf: A multi-modal domain adaptation method for cross-subject emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Cfda-csf: A multi-modal domain adaptation method for cross-subject emotion recognition
Reference 30
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0792bfa3-75f9-42f4-a5cd-024c455d8e33 · outbound
This paper cites Modfinity: Unsupervised domain adaptation with multimodal information flow intertwining, in: Proceedings of the Computer Vision and Pattern Recognition Conference, pp.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Modfinity: Unsupervised domain adaptation with multimodal information flow intertwining, in: Proceedings of the Computer Vision and Pattern Recognition Conference, pp
Reference 31
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbb17878-d88f-4839-82ed-9ec082a8e9c1 · outbound
This paper cites Differential entropy fea- ture for eeg-based emotion classification, in: 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), IEEE.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Differential entropy fea- ture for eeg-based emotion classification, in: 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), IEEE
Reference 32
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c96c5609-af61-45ba-99d0-97e3af3cf3d3 · outbound
This paper cites Cat: Cross attention in vision transformer, in: 2022 IEEE International Conference on Multimedia and Expo (ICME), IEEE.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Cat: Cross attention in vision transformer, in: 2022 IEEE International Conference on Multimedia and Expo (ICME), IEEE
Reference 33
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01bac43b-4f2e-4195-a801-67b462c4a807 · outbound
This paper cites Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks
Reference 34
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cf0f3a3-0869-4690-a67f-132f25b80186 · outbound
This paper cites Emo- tionmeter:Amultimodalframeworkforrecognizinghumanemotions.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Emo- tionmeter:Amultimodalframeworkforrecognizinghumanemotions
Reference 35
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf85bed5-bfc8-4095-8af1-efacf5b9fed8 · outbound
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UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Adam: A Method for Stochastic Optimization
Reference 36
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- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 72a53ead-da4e-480e-b66a-6eada7332329 · outbound
This paper cites Eeg-based emotion recognition via channel-wise attention and self attention.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Eeg-based emotion recognition via channel-wise attention and self attention
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cb47875-c8fe-459b-b07b-1446429d40a1 · outbound
This paper cites Da- capsnet:Amulti-branchcapsulenetworkbasedonadversarialdomain adaption for cross-subject eeg emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Da- capsnet:Amulti-branchcapsulenetworkbasedonadversarialdomain adaption for cross-subject eeg emotion recognition
Reference 38
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9000781b-f558-4ccd-bd68-1edaa5e98b7f · outbound
This paper cites Pr-pl:Anovelprototypicalrepresentation basedpairwiselearningframeworkforemotionrecognitionusingeeg signals.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Pr-pl:Anovelprototypicalrepresentation basedpairwiselearningframeworkforemotionrecognitionusingeeg signals
Reference 39
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1701d6e4-e255-48e7-a9f2-fc9b8b376ac2 · outbound
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UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Temporal- spectral-spatialsynchronizationattention-basednetworkforeegemo- tion recognition
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b46991-b2a8-4b9e-a2f6-fa95c376b6f8 · outbound
This paper cites Fmlan: A novel frame- work for cross-subject and cross-session eeg emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Fmlan: A novel frame- work for cross-subject and cross-session eeg emotion recognition
Reference 41
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13bd53c6-5fa0-4010-a6ba-50472261b7b4 · outbound
This paper cites Sdc-net:Adomain adaptation framework with semantic-dynamic consistency for cross- subject eeg emotion recognition.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Sdc-net:Adomain adaptation framework with semantic-dynamic consistency for cross- subject eeg emotion recognition
Reference 42
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7d80690b-638e-4fa7-a4a3-b67977996a14 · outbound
This paper cites Codf-net: Coordinated- representation decision fusion network for emotion recognition with eeg and eye movement signals.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Codf-net: Coordinated- representation decision fusion network for emotion recognition with eeg and eye movement signals
Reference 43
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b11f4938-3e51-429c-8d83-34701bba8de0 · outbound
This paper cites Cross-cultural emotion recognition with eeg and eye movement signals based on multiple stackedbroadlearningsystem.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Cross-cultural emotion recognition with eeg and eye movement signals based on multiple stackedbroadlearningsystem
Reference 44
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95534814-52b5-49d2-bf8a-012b3c95282a · outbound
This paper cites an unresolved cited work.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Unresolved cited work
Reference 45
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Unavailable: canonical work link unavailable.
Observation 56951e1d-f953-40b3-bddb-8ae7d0eb4763 · outbound
This paper cites IEEE Transactions on Computational Social Systems 12, 2214–2227.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment IEEE Transactions on Computational Social Systems 12, 2214–2227
Reference 46
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6990f012-a724-4ad2-8cdd-e5e48da3052d · outbound
This paper cites Multi-modal cross- subject emotion feature alignment and recognition with eeg and eye movements.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Multi-modal cross- subject emotion feature alignment and recognition with eeg and eye movements
Reference 47
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ddf3789-1759-48a2-a9ce-ce6621dab9eb · outbound
This paper cites Multimodalemotion recognitionbyfusingcomplementarypatternsfromcentraltoperiph- eral neurophysiological signals across feature domains.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Multimodalemotion recognitionbyfusingcomplementarypatternsfromcentraltoperiph- eral neurophysiological signals across feature domains
Reference 48
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ef175be-a234-4aac-ac21-0a8b8217fbb1 · outbound
This paper cites Visualizing data using t-SNE.
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment Visualizing data using t-SNE
Reference 49
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Pith citing papers
No inbound Pith citation observations are available.