Paper Citation Record · LEDGER

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2502.09675.

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

pith.paper-citation-record.v1
2502.09675 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:40:38.768892Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:40:38.620849Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:40:38.840401Z

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy23
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0bd45753-c4d9-4638-969f-e94c9080a12b · outbound

This paper cites Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:40:38.848100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 61774f36-a580-49aa-abaa-e10a9d56e7d7 · outbound

This paper cites MCAN first con- ducts feature extraction for the three input modalities.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis MCAN first con- ducts feature extraction for the three input modalities

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.277725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7d2a33f-4568-4dfb-a72a-357c13c77fa9 · outbound

This paper cites Datasets, Metrics and Implementation Details We evaluate MCAN on CMU-MOSI [22] and CMU-MOSEI.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Datasets, Metrics and Implementation Details We evaluate MCAN on CMU-MOSI [22] and CMU-MOSEI

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.262876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 05564719-cd82-4154-9b78-0e5bb4bee633 · outbound

This paper cites an unresolved cited work.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:40:39.234018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f675e49-de3d-4f3a-ac4a-4a455b639d85 · outbound

This paper cites an unresolved cited work.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:40:39.218526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31f7643a-1412-4553-abed-2686e795f484 · outbound

This paper cites Efficient Low-rank Multimodal Fusion with Modality-Specific Factors.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Efficient Low-rank Multimodal Fusion with Modality-Specific Factors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T22:40:38.680033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38bbca28-b8b4-427c-9c6c-9ee41031e292 · outbound

This paper cites Tensor fusion network for mul- timodal sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Tensor fusion network for mul- timodal sentiment analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.203397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41be126e-3710-4630-8720-f3fcbf74b73c · outbound

This paper cites Multimodal transformer for unaligned multimodal language sequences,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multimodal transformer for unaligned multimodal language sequences,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.185649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16b7b662-4323-4569-beb2-a506b5eec47f · outbound

This paper cites Misa: Modality-invariant and-specific representations for multimodal sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Misa: Modality-invariant and-specific representations for multimodal sentiment analysis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.166262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 257f86c6-37d0-479a-b162-340e3f8f52cd · outbound

This paper cites Multi-grained multimodal interaction network for sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multi-grained multimodal interaction network for sentiment analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.149983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02973243-3957-4048-b0b2-fcdcaa70afe4 · outbound

This paper cites Cross-modal enhancement network for multi- modal sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Cross-modal enhancement network for multi- modal sentiment analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.134134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 474e6990-d3ea-4250-9014-108437fccfac · outbound

This paper cites Decoupled multi- modal distilling for emotion recognition,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Decoupled multi- modal distilling for emotion recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.045502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 53688f9c-32a5-4091-8001-ae85cb8758a0 · outbound

This paper cites Multi-attention recur- rent network for human communication comprehension,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multi-attention recur- rent network for human communication comprehension,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.118932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc28420b-4521-4ca2-861b-60a3c1d4888c · outbound

This paper cites Attention is all you need,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Attention is all you need,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T22:40:38.690576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701b2698-2fe4-4348-a146-b6c3710d7061 · outbound

This paper cites Tetfn: A text enhanced transformer fusion net- work for multimodal sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Tetfn: A text enhanced transformer fusion net- work for multimodal sentiment analysis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.093063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38aecff4-d03e-4b4a-b25e-f781fd546ecd · outbound

This paper cites Multimodal sentiment analysis based on 3d stereoscopic attention,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multimodal sentiment analysis based on 3d stereoscopic attention,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.077826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c46d2ea-83a5-4177-95a1-44d2722d0e04 · outbound

This paper cites Disentangled representation learning for multimodal emotion recognition,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Disentangled representation learning for multimodal emotion recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.062373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f4afe4c-eab8-442c-aadd-2412414ea458 · outbound

This paper cites Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T22:40:38.739101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d8d9dae-8609-4dd1-9c2c-ce10c6a90919 · outbound

This paper cites Learning modality-specific representations with self-supervised multi- task learning for multimodal sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Learning modality-specific representations with self-supervised multi- task learning for multimodal sentiment analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.029663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46420e05-cb52-408a-ad6f-88531de8fb9f · outbound

This paper cites A novel multimodal sentiment analysis model based on gated fusion and multi-task learning,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis A novel multimodal sentiment analysis model based on gated fusion and multi-task learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:39.013739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29a64d17-11f3-4c2d-872a-433b0369e6f1 · outbound

This paper cites Ch-sims: A chi- nese multimodal sentiment analysis dataset with fine-grained annotation of modality,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Ch-sims: A chi- nese multimodal sentiment analysis dataset with fine-grained annotation of modality,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.998016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 686e4a6a-8ae8-4571-a97d-ce079dcb32c5 · outbound

This paper cites Transferability vs. discriminability: Batch spectral pe- nalization for adversarial domain adaptation,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Transferability vs. discriminability: Batch spectral pe- nalization for adversarial domain adaptation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.981144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55337eeb-248b-46ac-ab9f-d04769c9e048 · outbound

This paper cites an unresolved cited work.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:40:39.248573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9be3d94a-4949-4517-95d5-3d3a014c63ca · outbound

This paper cites Gener- alized and discriminative few-shot object detection via svd- dictionary enhancement,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Gener- alized and discriminative few-shot object detection via svd- dictionary enhancement,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.965442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dfc39ca6-8ce6-4b2f-8543-e079980f79dc · outbound

This paper cites Multi-task momentum distil- lation for multimodal sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multi-task momentum distil- lation for multimodal sentiment analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.950080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5fa5444-643b-4a6a-a292-609e9403d102 · outbound

This paper cites Learning language-guided adaptive hyper-modality representation for multimodal sentiment anal- ysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Learning language-guided adaptive hyper-modality representation for multimodal sentiment anal- ysis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.931909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5c935152-4448-456c-aa17-886097c291a4 · outbound

This paper cites Cross- modality representation interactive learning for multimodal sentiment analysis,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Cross- modality representation interactive learning for multimodal sentiment analysis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.915151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79fe6f7c-2eec-4f0e-b23b-77605516d99f · outbound

This paper cites Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.898632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6451de77-61b3-4d93-a4a0-f50be608b957 · outbound

This paper cites Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dy- namic fusion graph,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dy- namic fusion graph,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.881927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86eddaed-4d78-4c52-8967-c44d1a3a6cd2 · outbound

This paper cites Words can shift: Dy- namically adjusting word representations using nonverbal be- haviors,.

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis Words can shift: Dy- namically adjusting word representations using nonverbal be- haviors,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:40:38.866259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 0bd45753-c4d9-4638-969f-e94c9080a12b · inbound