Paper Citation Record · LEDGER

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2509.17446.

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

pith.paper-citation-record.v1
2509.17446 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:51:46.996181Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:51:46.891087Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T00:49:09.573510Z

Reference resolution

27 of 27 outbound references displayed

verified exact1
verified fuzzy17
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f528d143-3c65-4591-bbea-a709f30617cc · outbound

This paper cites MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:46.891087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5567a18e-07cc-4aba-ace6-2e1514b45ff2 · outbound

This paper cites Model Overview As illustrated in Fig.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Model Overview As illustrated in Fig

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.546471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90a68bb4-30f6-4c65-8d03-33eea146f003 · outbound

This paper cites an unresolved cited work.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Unresolved cited work

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-15T15:51:47.273979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0f42847-ed54-4637-a397-574b2270c050 · outbound

This paper cites an unresolved cited work.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:51:47.532950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2d4d5bcf-f8a5-4021-bbde-ae522dfce194 · outbound

This paper cites an unresolved cited work.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:51:47.519408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e48c8a52-375c-4de8-9d13-b36269182ee9 · outbound

This paper cites Deep Learning Approaches for Multimodal Intent Recognition: A Survey.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Deep Learning Approaches for Multimodal Intent Recognition: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:46.914985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6046f5-a54f-421d-9d01-f2a1a218b18c · outbound

This paper cites Temporal working memory: Query- guided segment refinement for enhanced multimodal understanding,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Temporal working memory: Query- guided segment refinement for enhanced multimodal understanding,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.506674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2b22f4fc-0697-4edd-a33c-aa678ca08fa9 · outbound

This paper cites To- wards visual-prompt temporal answer grounding in in- structional video,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion To- wards visual-prompt temporal answer grounding in in- structional video,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.494272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f4672e7e-dde4-42b1-9222-ebcebf606a84 · outbound

This paper cites Visual document understand- ing and question answering: A multi-agent collabora- tion framework with test-time scaling,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Visual document understand- ing and question answering: A multi-agent collabora- tion framework with test-time scaling,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:46.926883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de325dd4-b4e6-40af-b9dd-ddb49be69200 · outbound

This paper cites Multimodal transformer for un- aligned multimodal language sequences,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Multimodal transformer for un- aligned multimodal language sequences,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.480557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b2d2083-93f1-4545-9bcc-b0812502239d · outbound

This paper cites Adaptive mul- timodal fusion: Dynamic attention allocation for intent recognition,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Adaptive mul- timodal fusion: Dynamic attention allocation for intent recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.467553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6000014f-e138-4efc-b697-2d60ff710782 · outbound

This paper cites Multimodal transformer with multi-scale alignment for multimodal sentiment analysis,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Multimodal transformer with multi-scale alignment for multimodal sentiment analysis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.454648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7da4ab5b-a2fa-4629-8a4b-a046ceb2c561 · outbound

This paper cites Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:46.942355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ddd00f2-d4fa-4101-9bce-1ed40ecc9cc9 · outbound

This paper cites Dynamic multimodal fu- sion,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Dynamic multimodal fu- sion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.440593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 725afab5-e854-41c6-a824-0e55ab6f22e1 · outbound

This paper cites Token-level contrastive learning with modality-aware prompting for multimodal intent recog- nition,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Token-level contrastive learning with modality-aware prompting for multimodal intent recog- nition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.427623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6560aa6-3759-4685-af4e-8dd0cb368bbd · outbound

This paper cites Factorized Contrastive Learning: Going Beyond Multi-view Redundancy.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:46.953000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df649bb-1446-4120-9b21-e40bca68dbd0 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Representation Learning with Contrastive Predictive Coding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:46.957027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1392ee-69b7-4f76-9a83-7fa95d545827 · outbound

This paper cites Mag-bert: Multimodal adapta- tion gate bert for multimodal sentiment analysis,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Mag-bert: Multimodal adapta- tion gate bert for multimodal sentiment analysis,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.415072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6829b96-a73a-483e-b91e-3d4e67226f81 · outbound

This paper cites Super- vised contrastive learning,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Super- vised contrastive learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.402249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21c51923-216d-4caf-8526-ffb2664bc9f1 · outbound

This paper cites Contextual augmented global contrast for multimodal intent recog- nition,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Contextual augmented global contrast for multimodal intent recog- nition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.389489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4bc8d6e4-68b3-439c-acc2-7c90437a8740 · outbound

This paper cites Prototypical net- works for few-shot learning,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Prototypical net- works for few-shot learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.375484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 784331fc-9e48-4d4a-997b-281675232a6b · outbound

This paper cites Mintrec: A new dataset for multimodal intent recognition,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Mintrec: A new dataset for multimodal intent recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.358934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 933be9cd-5da7-4c99-a6c3-6a247770e382 · outbound

This paper cites Mintrec2.0: A large-scale benchmark dataset for multimodal intent recognition and out-of- scope detection in conversations,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Mintrec2.0: A large-scale benchmark dataset for multimodal intent recognition and out-of- scope detection in conversations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.345706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03986d9a-d258-4798-b590-7c29da0d16be · outbound

This paper cites Understanding con- trastive representation learning through alignment and uniformity on the hypersphere,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Understanding con- trastive representation learning through alignment and uniformity on the hypersphere,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.332076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d07c04cb-57af-4065-ab7c-fe834c1ae367 · outbound

This paper cites Can contrastive learning avoid short- cut solutions?,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Can contrastive learning avoid short- cut solutions?,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.318269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 82b0a686-7890-495e-8ac5-d004893d7a58 · outbound

This paper cites HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:46.992396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec593fda-efe6-4013-920b-613fda3256ba · outbound

This paper cites Attention bottlenecks for multimodal fusion,.

MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Attention bottlenecks for multimodal fusion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:51:47.304860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation f528d143-3c65-4591-bbea-a709f30617cc · inbound