Pith. sign in

Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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

Resolution
unresolved
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=sha256:0675253637e79a5b8f18a0a8a5ba0f3761eff7738be6ebee89496a7f755821ad

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

Resolution
unresolved
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=sha256:98ba30498b50a80a26c82fb9df0817968d7363707b576d80a85b8853c5bfcfbc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.355343Z digest=sha256:5e928be0e013e3e639f20c844a70f67f0195b4d654d88482835efedc583c88a9

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.360074Z digest=sha256:d5c12e51ec4814329dd9414fcb9b12f42864f1ac2024fb7898d2488bbcbba48b

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

Resolution
unresolved
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:ba83e74ed4b734699d471cd65a952933d510d4213bf376fdaf8bf9379ef52842

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

Resolution
unresolved
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:c0114b651bc89e8c3af9ba38e079f6e542cf6c705b5d4e925bc15aa299b2460d

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.468631Z digest=sha256:6e945c9febbee8baaf65b9c6197ef89098ccaae777bb0c15bc84105f13df4311

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

Resolution
unresolved
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=sha256:980361114af064d9abcb21d22ccadc3bf58a46dfe346504a1e9323a8191d0cc6

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

Resolution
unresolved
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:fdcf94acd46cd4b1856b8c639fe17686e21895d111401ca20f135a7e3e4f8b88

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

Resolution
unresolved
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=sha256:00b969ad56ddf121d1859dc2a676693c77951268f5a64044ff83640489867243

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

Resolution
unresolved
no resolver link, observed 2026-08-08T00:49:09.484089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.484089Z digest=sha256:cbc02cb1297692a78eb7e660cd6f84448a433725e19bc4cd988da85b94a0c39f

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

Resolution
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=sha256:2c46562830aa06875517b3a6158aeee413936613396fb3ad57d7536167f58227

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.491854Z digest=sha256:3e09f45c128690b68877eb6bda558e36c552000b30653c5add7bd78561fdbc4a

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.495682Z digest=sha256:b12682a246bc0ddd0e68a783adbb02bd95200036cb051224323bb0237aadb0d0

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

Resolution
unresolved
no resolver link, observed 2026-08-08T00:49:09.499445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.499445Z digest=sha256:f732ca94f2ac89003d2a2f04fe75f3b2fe52c5b60a2e3a3b590e25bcf389d93e

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.503196Z digest=sha256:d342d462ab67036657ad3ead463437c4a9affd07cddc667b6e98e2a0541e3c49

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

Resolution
verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.508095Z digest=sha256:f0680f1ef5255eb7abd63761398f01e1bfac69ece49829816fd5e6c3b47901ec

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

Resolution
verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.512674Z digest=sha256:e820d20e5f01461b5bb87ab21ca1ae2c4786846ff37426fc87712606869ced30

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

Resolution
verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.517149Z digest=sha256:90272e565776cf2b02ad9e654e9bd9e3d23896ee2d6f007e636d7b40994223d8

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.521544Z digest=sha256:659278c9d1efd3809b106c94f656a952c0376c11c55e9283dfead36b8fe7a85f

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

Resolution
verified fuzzy
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.526121Z digest=sha256:999197f91b5faf7a0e5c199f5a793125970e0bc614405c99aee9f728c536ca7e

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

Resolution
unresolved
no resolver link, observed 2026-08-08T00:49:09.530496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:49:09.530496Z digest=sha256:929057d693ebc2c56629a8fec99526e40ac972e2fb20f7a8dc3a361581be19ee

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

Resolution
unresolved
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=sha256:281bae61cb9d0ccdb1b5edd274bb8e12dd359acd56acbe84c771d10ad232c51c

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

Resolution
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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-08T00:49:09.539256Z digest=sha256:f5346784d0785b31d70228e42fb6f342167cb9c012235b75b9a691944d0beb91

Pith citing papers

No inbound Pith citation observations are available.