Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:43.208707Z
Paper Citation Record · LEDGER
Leveraging CLIP Encoder for Multimodal Emotion Recognition
As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.00903.
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 2026-08-17T06:30:58.91139+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
52 of 52 outbound references displayed
- verified exact0
- verified fuzzy44
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 913ffe1a-f211-4c30-af5c-e927cb5bed4b · outbound
This paper cites A survey of state-of-the-art approaches for emotion recognition in text.
Leveraging CLIP Encoder for Multimodal Emotion Recognition A survey of state-of-the-art approaches for emotion recognition in text
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 04dee490-1e60-42c1-a13c-2b93d050c45a · outbound
This paper cites Multimodal lan- guage analysis in the wild: CMU-MOSEI dataset and inter- pretable dynamic fusion graph.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Multimodal lan- guage analysis in the wild: CMU-MOSEI dataset and inter- pretable dynamic fusion graph
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:55.339800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cb2f650d-4705-42df-82f5-acd630d937c1 · outbound
This paper cites Multimodal machine learning: A survey and tax- onomy.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Multimodal machine learning: A survey and tax- onomy
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:55.111628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 725b42f8-3194-498b-a8be-df7e1ff62ba0 · outbound
This paper cites Openface: An open source facial behavior analy- sis toolkit.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Openface: An open source facial behavior analy- sis toolkit
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:54.867373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2a8c76f5-a6b2-46f3-8f2c-5699eb9df6b1 · outbound
This paper cites Narayanan.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Narayanan
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:54.620722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e0d19d05-500e-45c6-ad2b-aa5b037fce91 · outbound
This paper cites Finecliper: Multi-modal fine-grained clip for dynamic facial expression recognition with adapters.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Finecliper: Multi-modal fine-grained clip for dynamic facial expression recognition with adapters
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:54.456005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 588d6738-779a-43ee-b67c-c0eb68d2bfc2 · outbound
This paper cites Covarep: A collaborative voice analysis repository for speech technologies.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Covarep: A collaborative voice analysis repository for speech technologies
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:54.196225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5b89e5de-fde1-4d06-8145-4ca440a0d685 · outbound
This paper cites Data determines distributional robustness in contrastive language image pre-training (CLIP).
Leveraging CLIP Encoder for Multimodal Emotion Recognition Data determines distributional robustness in contrastive language image pre-training (CLIP)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:53.920451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c09c4d1d-0654-41a6-befb-da3b952077e9 · outbound
This paper cites Emoclip: A vision-language method for zero-shot video facial expression recognition.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Emoclip: A vision-language method for zero-shot video facial expression recognition
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:53.685758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6dc821e6-76b2-4026-9523-8119e830f26b · outbound
This paper cites Bermano, Gal Chechik, and Daniel Cohen-Or.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Bermano, Gal Chechik, and Daniel Cohen-Or
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:53.518184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9e6b04ec-510e-470a-b56f-d88659f333f8 · outbound
This paper cites Esresne(x)t-fbsp: Learning robust time-frequency transformation of audio, 2021.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Esresne(x)t-fbsp: Learning robust time-frequency transformation of audio, 2021
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:53.247113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d1df064c-6823-4790-912c-e0642933214f · outbound
This paper cites Audioclip: Extending clip to image, text and au- dio.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Audioclip: Extending clip to image, text and au- dio
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:52.908148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 84caed99-495d-4b09-bcd0-730004d2f085 · outbound
This paper cites Misa: Modality-invariant and -specific representations for multimodal sentiment analysis.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Misa: Modality-invariant and -specific representations for multimodal sentiment analysis
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:52.684058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c5fc61c7-fa32-4458-8aae-b34888d590ab · outbound
This paper cites Deep multi-task learn- ing to recognise subtle facial expressions of mental states.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Deep multi-task learn- ing to recognise subtle facial expressions of mental states
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:52.470990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dbea8fd7-ba72-46b7-a93c-a1a526f2a0cb · outbound
This paper cites an unresolved cited work.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Unresolved cited work
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c8b24d84-ef50-4c66-882f-6552ae2e0a09 · outbound
This paper cites Attention is not enough: Mitigating the distribution discrepancy in asynchronous multimodal sequence fusion.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Attention is not enough: Mitigating the distribution discrepancy in asynchronous multimodal sequence fusion
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:52.056692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cd1d26e9-3cf5-4d7c-847e-a407c6ee3032 · outbound
This paper cites Decoupled weight de- cay regularization.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Decoupled weight de- cay regularization
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:38.895254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44bdd621-0451-497c-b7f2-6dfafc317213 · outbound
This paper cites Progressive modality reinforcement for hu- man multimodal emotion recognition from unaligned multi- modal sequences.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Progressive modality reinforcement for hu- man multimodal emotion recognition from unaligned multi- modal sequences
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:51.838240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8aa31651-cea6-402e-86ed-01a570660d34 · outbound
This paper cites The Stanford CoreNLP natural language processing toolkit.
Leveraging CLIP Encoder for Multimodal Emotion Recognition The Stanford CoreNLP natural language processing toolkit
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:51.582091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 857fd497-e843-41bf-a4db-a024a7f02497 · outbound
This paper cites M3er: Multiplicative multi- modal emotion recognition using facial, textual, and speech cues.
Leveraging CLIP Encoder for Multimodal Emotion Recognition M3er: Multiplicative multi- modal emotion recognition using facial, textual, and speech cues
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:51.277342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ef198261-108d-436b-8010-f7645ee4e41e · outbound
This paper cites Ma- hoor.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Ma- hoor
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:51.041927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a1aa5eb6-223d-478b-9755-8b8da34bb7ea · outbound
This paper cites an unresolved cited work.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:58:50.749488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7ccb7c58-ee45-4233-9188-b514ebe4a1fb · outbound
This paper cites Glove: Global vectors for word representation.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Glove: Global vectors for word representation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:50.550289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 678e6850-0043-4be8-aed8-1df42c66272e · outbound
This paper cites Found in translation: learn- ing robust joint representations by cyclic translations be- tween modalities.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Found in translation: learn- ing robust joint representations by cyclic translations be- tween modalities
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:50.354952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a253ac0e-e3c9-4743-9234-9ad32eacc4c9 · outbound
This paper cites MELD: A multimodal multi-party dataset for emotion recognition in conversations.
Leveraging CLIP Encoder for Multimodal Emotion Recognition MELD: A multimodal multi-party dataset for emotion recognition in conversations
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:50.105153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6de451b0-7f0e-4ee8-a5f2-bbc8c2ead762 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Learning transferable visual models from natural language supervision
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:49.580704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3dbd69e5-5131-447a-b23a-44a33b9bee9d · outbound
This paper cites Fine-tuned clip models are efficient video learners.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Fine-tuned clip models are efficient video learners
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:49.302570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 85e58ac6-61c4-4912-bcc2-38ce52928e72 · outbound
This paper cites Accommodating audio modality in clip for multimodal processing.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Accommodating audio modality in clip for multimodal processing
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:49.054639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d193c81f-e17c-4225-9cc9-47453ffa297a · outbound
This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.
Leveraging CLIP Encoder for Multimodal Emotion Recognition LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:40.406313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02fa32c0-2af0-4ba3-b118-eafcd6f16406 · outbound
This paper cites Sheikh, Rupayan Chakraborty, and Sunil Kumar Kopparapu.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Sheikh, Rupayan Chakraborty, and Sunil Kumar Kopparapu
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:48.809591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e28770d1-9d25-4e3d-a5e7-78a91c58250d · outbound
This paper cites Learning Factorized Multimodal Representations.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Learning Factorized Multimodal Representations
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:40.613619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae3658bf-d11c-48c9-90d6-c4241b1a6637 · outbound
This paper cites Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:48.556394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 878e9b75-0fdc-44e0-b7d8-64a1d62c6019 · outbound
This paper cites Suppressing uncertainties for large-scale facial expres- sion recognition.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Suppressing uncertainties for large-scale facial expres- sion recognition
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:48.107389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 384ab5e6-038a-4eca-866e-fabbf20f0b97 · outbound
This paper cites A novel end-to-end speech emotion recognition network with stacked transformer lay- ers.
Leveraging CLIP Encoder for Multimodal Emotion Recognition A novel end-to-end speech emotion recognition network with stacked transformer lay- ers
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:47.859062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 663d340d-2ba6-4d8b-b022-586b131c6b3a · outbound
This paper cites Words can shift: Dy- namically adjusting word representations using nonverbal behaviors.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Words can shift: Dy- namically adjusting word representations using nonverbal behaviors
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:47.622625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e9b77623-a8ab-450a-9d25-cdb6f242da6e · outbound
This paper cites Wav2clip: Learning robust audio repre- sentations from clip.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Wav2clip: Learning robust audio repre- sentations from clip
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:47.380397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cb306a66-21c3-4ca9-a31a-1794d9dd62a7 · outbound
This paper cites Multi- view multi-label learning with view-specific information ex- traction.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Multi- view multi-label learning with view-specific information ex- traction
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:47.133005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation abd59139-02e1-435d-a24c-f2ca5b648dc0 · outbound
This paper cites Disentangled representation learning for multimodal emotion recognition.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Disentangled representation learning for multimodal emotion recognition
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:46.907855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1129c12d-7252-48e6-aaf6-2ba57958ff04 · outbound
This paper cites Tensor fusion network for mul- timodal sentiment analysis.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Tensor fusion network for mul- timodal sentiment analysis
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:46.670853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ce7f53f3-42dc-45dd-b3ec-9a27b9195793 · outbound
This paper cites Memory fusion network for multi-view sequential learning.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Memory fusion network for multi-view sequential learning
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:46.412953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6b3618fd-9d69-44ce-858b-4ac775089ed0 · outbound
This paper cites Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:46.049658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cc2ab590-c864-42cc-9ecb-8436f887145a · outbound
This paper cites Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:45.782901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 91d30615-0785-4e2c-8a48-97bf67bb004d · outbound
This paper cites Multi-modal multi- label emotion recognition with heterogeneous hierarchical message passing.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Multi-modal multi- label emotion recognition with heterogeneous hierarchical message passing
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:45.506580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 909c6c5d-dfff-445c-8cf2-6a801e897d6a · outbound
This paper cites A review on multi-label learning algorithms.
Leveraging CLIP Encoder for Multimodal Emotion Recognition A review on multi-label learning algorithms
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:45.246829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 29082bb6-f489-41d7-9edd-fb6defc99e03 · outbound
This paper cites Tailor versatile multi-modal learning for multi-label emotion recognition.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Tailor versatile multi-modal learning for multi-label emotion recognition
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:44.965250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ba244c3c-8c56-433b-9be7-460865dbfa41 · outbound
This paper cites Manning, and Curtis P.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Manning, and Curtis P
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:44.703770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0ea844c1-c774-4158-8c72-3a5fb3995ca2 · outbound
This paper cites Prompting visual- language models for dynamic facial expression recognition.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Prompting visual- language models for dynamic facial expression recognition
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:44.459062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation beeab9aa-fa5f-480c-ba3f-6039327ce2a8 · outbound
This paper cites To demonstrate the diverse range of words associated with emotions, we conduct experiments to compare the performance of syn- onyms for ‘Emotion’ and ‘Sentiment’.
Leveraging CLIP Encoder for Multimodal Emotion Recognition To demonstrate the diverse range of words associated with emotions, we conduct experiments to compare the performance of syn- onyms for ‘Emotion’ and ‘Sentiment’
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:44.141826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 98a67b5e-ecc8-4b7c-a153-e5365ab6d229 · outbound
This paper cites an unresolved cited work.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:58:43.830165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 427fb53b-9d71-4285-baa8-990e14555f45 · outbound
This paper cites an unresolved cited work.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:58:43.512945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 162639de-ddba-4c62-8f94-63a655e1d9a6 · outbound
This paper cites an unresolved cited work.
Leveraging CLIP Encoder for Multimodal Emotion Recognition Unresolved cited work
Reference 536
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:58:49.864258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dab4dd87-d934-4ba9-9187-0ae552ea2eb9 · outbound
This paper cites 2, 4, 6, 7.
Leveraging CLIP Encoder for Multimodal Emotion Recognition 2, 4, 6, 7
Reference 6569
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:58:48.319086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.