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Paper Citation Record · LEDGER

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.04054.

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

pith.paper-citation-record.v1
2608.04054 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:49:09.539256Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b500b86-ec9a-4d84-9b24-e899262d2f36 · outbound

This paper cites A survey on multi-modal intent recognition: Recent advances and new frontiers,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding A survey on multi-modal intent recognition: Recent advances and new frontiers,

Reference 1

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no resolver link, observed 2026-08-08T00:49:09.345429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.345429Z digest=sha256:93bf30af91e09a697d755c281fe7c867e8631280dcb54b06662cac591ed6f705

Observation e7aec58f-e9cc-43c3-886f-964e6791f4d6 · outbound

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

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Deep Learning Approaches for Multimodal Intent Recognition: A Survey

Reference 2

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no resolver link, observed 2026-08-08T00:49:09.350362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.350362Z digest=sha256:3922f55b11961f50b7a24205316d94a158ae824118919a2063a69957f0ceffd3

Observation 8a72b15c-08aa-4cc8-96ef-19e0e508666d · outbound

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

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Multimodal transformer for unaligned multimodal language sequences,

Reference 3

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no resolver link, observed 2026-08-08T00:49:09.355343Z

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source=pdf_text observed=2026-08-08T00:49:09.355343Z digest=sha256:b30ab2177ae5741a8b229cdbaefee128b38185ce1eeaf822a879ca78bc4c3ba9

Observation 2976a6fa-75ee-403a-a8ea-c6fc6dfe4c20 · outbound

This paper cites Integrating multimodal information in large pretrained transformers,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Integrating multimodal information in large pretrained transformers,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-08T00:49:09.832732Z

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.

source=pdf_text observed=2026-08-08T00:49:09.360074Z digest=sha256:09939ff38ac528c3ce4147845c13062c56935cf03f9725d2d8c0556cf3d51f9e

Observation 9d03fcf7-422b-4159-8be7-36a3cb41a2ca · outbound

This paper cites Adaptive multimodal fusion: dynamic attention allocation for intent recognition,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Adaptive multimodal fusion: dynamic attention allocation for intent recognition,

Reference 5

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no resolver link, observed 2026-08-08T00:49:09.364610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.364610Z digest=sha256:a1bc158455967fc00bb8cac39743423a9171c002ac22fd0189b2f9ada98ae265

Observation 6ee5452a-5bdb-4c7d-ba95-84e35a486c13 · outbound

This paper cites Multimodal intent recognition based on text-guided cross-modal attention,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Multimodal intent recognition based on text-guided cross-modal attention,

Reference 6

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no resolver link, observed 2026-08-08T00:49:09.463328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.463328Z digest=sha256:3041c7afcd93ab4ecf015b3ad279ba53497719d85c1835c69ae62dcaa7d2e01d

Observation bbf23f54-c749-4010-8dbf-325c68c2b3e4 · outbound

This paper cites Graph mixture of experts with differential cross-attention alignment for multimodal intent recognition,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Graph mixture of experts with differential cross-attention alignment for multimodal intent recognition,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-08T00:49:09.800830Z

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.

source=pdf_text observed=2026-08-08T00:49:09.468631Z digest=sha256:b0b797b6ba4dce4a591fa4709f98362269566417e8eaf558d3b6fd5da1650662

Observation 94cc09b8-8e4c-46b4-a935-3b7017ba3436 · outbound

This paper cites Mitigating Multi- modal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Mitigating Multi- modal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition,

Reference 8

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no resolver link, observed 2026-08-08T00:49:09.472515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.472515Z digest=sha256:d1475b5a62aa191352dfcf4a12e8480c13220da6e1ef450606d094abfc0e6163

Observation c8b70e1e-2be5-4bad-ac3c-c91d48d98ee3 · outbound

This paper cites Who should I trust? explicit confidence- focused multimodal intent recognition,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Who should I trust? explicit confidence- focused multimodal intent recognition,

Reference 9

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no resolver link, observed 2026-08-08T00:49:09.476319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.476319Z digest=sha256:c2af1970896c4c2c48acd4504bd7d95cb6b920f5e9a8021d4ef92fd8098dba25

Observation 40e69eee-f2b5-4e6f-91fb-d209b4c3eb10 · outbound

This paper cites Evolutionary Multimodal Reasoning via Hierarchical Semantic Representation for Intent Recognition,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Evolutionary Multimodal Reasoning via Hierarchical Semantic Representation for Intent Recognition,

Reference 10

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no resolver link, observed 2026-08-08T00:49:09.480070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.480070Z digest=sha256:76d4300939fbd7ab86d46e211ce8e78c98cc8094e9f5b718339869b7bf8221e7

Observation a671c554-965a-4c70-996c-a3246d815300 · outbound

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

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Misa: Modality-invariant and -specific representations for multimodal sentiment analysis,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.484089Z digest=sha256:2f28e72101c4e2e9d78637131b7d81d5b5cba6fca9e9a3818bb7bade973eec49

Observation bbc527fe-4c6f-4c50-8002-4ea3b1e673ef · outbound

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

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Token-level contrastive learning with modality-aware prompting for multimodal intent recognition,

Reference 12

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unresolved
no resolver link, observed 2026-08-08T00:49:09.487950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.487950Z digest=sha256:d32c4ebf72d46d5d231f954018f81bd7f6a835651faa4127e71fc21c2951bfed

Observation c2e1aaee-8c14-430d-87bd-aeb7449cec72 · outbound

This paper cites Sdif-da: A shallow- to-deep interaction framework with data augmentation for multi-modal intent detection,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Sdif-da: A shallow- to-deep interaction framework with data augmentation for multi-modal intent detection,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-08T00:49:09.742379Z

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.

source=pdf_text observed=2026-08-08T00:49:09.491854Z digest=sha256:7d7b0c04d57b5717a79ab6248694352aa973f0fcf4d4c2c1b066f6ef37e83e8f

Observation 4d7cb6a8-bb25-4ead-8818-f33f78394ec8 · outbound

This paper cites InMu-Net: Advancing Multi-modal Intent Detection via In- formation Bottleneck and Multi-sensory Processing,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding InMu-Net: Advancing Multi-modal Intent Detection via In- formation Bottleneck and Multi-sensory Processing,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-08T00:49:09.728978Z

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.

source=pdf_text observed=2026-08-08T00:49:09.495682Z digest=sha256:9c247f42cc7e255fa58ac24302fe021f3137c0174a429f08c261ea98c5ab7337

Observation 400adfc3-82a2-4dfd-99c7-dc751ade3cdf · outbound

This paper cites Prototype-based intent perception,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Prototype-based intent perception,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.499445Z digest=sha256:b24757735009d23d73fb95f82ed3976d4722b370c0cabbdfad844a4cd00c1701

Observation b3106e20-e87d-4058-8b4d-fc168df99611 · outbound

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

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion

Reference 16

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verified exact
local_arxiv, observed 2026-08-08T00:49:09.580828Z

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.

source=pdf_text observed=2026-08-08T00:49:09.503196Z digest=sha256:e9bdc9af0b07c6f735a866b27c7448d68f53e5af81d7cd8edc52c56ea2460a54

Observation b069e5d6-e364-4f47-b1b4-a132fda8b185 · outbound

This paper cites Hypergraph neural networks,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Hypergraph neural networks,

Reference 17

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raw_fallback, observed 2026-08-08T00:49:09.703785Z

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.

source=pdf_text observed=2026-08-08T00:49:09.508095Z digest=sha256:01ed2a98271601d3ecc287be73ed0d28ba4f80a23d79b5179f6cfee56f33c817

Observation fad458a1-cc24-4a38-97a0-483acd275e14 · outbound

This paper cites Hybrid-scale heterogeneous graph fusion for multimodal intent recognition,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Hybrid-scale heterogeneous graph fusion for multimodal intent recognition,

Reference 18

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raw_fallback, observed 2026-08-08T00:49:09.689094Z

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.

source=pdf_text observed=2026-08-08T00:49:09.512674Z digest=sha256:c0295f4d3f54fda4582dc9a26632ce5757e58b5383a0061499fc8eec90a0f02f

Observation 10a59889-b65e-4aa7-a000-96db5b66f01a · outbound

This paper cites Hypermodal: Dynamic hypergraph contrastive learning for multi-modal representation,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Hypermodal: Dynamic hypergraph contrastive learning for multi-modal representation,

Reference 19

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raw_fallback, observed 2026-08-08T00:49:09.674481Z

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.

source=pdf_text observed=2026-08-08T00:49:09.517149Z digest=sha256:bdc904a9d1949f150f91550ff10e29e77aa0ae0d000b2be78a21122d4f33e6ea

Observation 536d29ca-642f-4bd7-ba32-3e80ded13dda · outbound

This paper cites Hypergcl: multi-modal graph contrastive learning via learnable hypergraph views,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Hypergcl: multi-modal graph contrastive learning via learnable hypergraph views,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-08T00:49:09.659967Z

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.

source=pdf_text observed=2026-08-08T00:49:09.521544Z digest=sha256:2bf86129de542083ac37a76e0a8c52979959cbd4aa9900bb532d47db2651c366

Observation fa44eb81-07a1-4028-8cfd-3c7617b581a1 · outbound

This paper cites Supervised contrastive learn- ing,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding Supervised contrastive learn- ing,

Reference 21

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raw_fallback, observed 2026-08-08T00:49:09.645508Z

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.

source=pdf_text observed=2026-08-08T00:49:09.526121Z digest=sha256:c4e07dc6330d9f040cd3fd11f428d6a7cd4a2eedf5c05e639bd0f2fe4832ff54

Observation 7b3c25c2-2fed-4767-a8a1-328e3060e4ff · outbound

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

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding MIntRec: A new dataset for multimodal intent recognition,

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.530496Z digest=sha256:b8470f53dd82ba3802000c68d184fed72316b61b60e7b460f1f613cc35468ccb

Observation c246e7b2-2425-4892-b5e2-06afe70c0ebe · outbound

This paper cites MIntRec2.0: A large-scale benchmark dataset for multimodal intent recognition and out-of-scope detection in conversations,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding MIntRec2.0: A large-scale benchmark dataset for multimodal intent recognition and out-of-scope detection in conversations,

Reference 23

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no resolver link, observed 2026-08-08T00:49:09.534884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.534884Z digest=sha256:c48d49e4068fdd2a90c99080dc86c51522fd50bf579121eba3042194d9325b41

Observation e8aedaba-d58e-46ac-b88b-b877e9ea31d4 · outbound

This paper cites MELD: A multimodal multi-party dataset for emotion recognition in conversations,.

Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding MELD: A multimodal multi-party dataset for emotion recognition in conversations,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-08T00:49:09.612687Z

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.

source=pdf_text observed=2026-08-08T00:49:09.539256Z digest=sha256:76cc60685c00479f6abc2543d3993f0ce9cfae2abaf32ffec13331dea625e6a8

Pith citing papers

No inbound Pith citation observations are available.