Paper Citation Record · LEDGER

Efficient Quantification of Multimodal Interaction at Sample Level

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.17248.

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

pith.paper-citation-record.v1
2506.17248 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:32.281803Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact1
verified fuzzy4
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e8a7eaa-f421-42c4-8d4e-9feb6071be88 · outbound

This paper cites Baseline We adopt three primary types of multimodal learning paradigms: Feature-level fusion: Integration of multiple modalities at the feature level.

Efficient Quantification of Multimodal Interaction at Sample Level Baseline We adopt three primary types of multimodal learning paradigms: Feature-level fusion: Integration of multiple modalities at the feature level

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:32.409939Z

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 06b52f1a-5fa7-44e0-a9eb-3f9877db56c4 · outbound

This paper cites MultiBench: Multiscale Benchmarks for Multimodal Representation Learning.

Efficient Quantification of Multimodal Interaction at Sample Level MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.252230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08a618e-4352-4159-a23b-d7c550e86355 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Efficient Quantification of Multimodal Interaction at Sample Level UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.260373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c00d96-9983-42c8-8246-12d007582e89 · outbound

This paper cites Understanding Unimodal Bias in Multimodal Deep Linear Networks.

Efficient Quantification of Multimodal Interaction at Sample Level Understanding Unimodal Bias in Multimodal Deep Linear Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.274858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c61b8c16-0215-4891-bcc4-63fa9c6a188b · outbound

This paper cites The specific model variant employed in our experiments features unimodal branches, each consisting of four Transformer layers.

Efficient Quantification of Multimodal Interaction at Sample Level The specific model variant employed in our experiments features unimodal branches, each consisting of four Transformer layers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:32.397280Z

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 c7b47a57-c7c6-4ebb-8f22-277125aad31b · outbound

This paper cites Learning Factorized Multimodal Representations.

Efficient Quantification of Multimodal Interaction at Sample Level Learning Factorized Multimodal Representations

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.264142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73c0a1f-38a5-47c7-a49b-2c28abca96b8 · outbound

This paper cites Food-101– mining discriminative components with random forests.

Efficient Quantification of Multimodal Interaction at Sample Level Food-101– mining discriminative components with random forests

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:32.433225Z

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 b134af1a-5520-438f-af05-d5e204067563 · outbound

This paper cites Nonnegative Decomposition of Multivariate Information.

Efficient Quantification of Multimodal Interaction at Sample Level Nonnegative Decomposition of Multivariate Information

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.270929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76dcdcc-cd3a-4c6d-b06b-7760570f1c0f · outbound

This paper cites Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection.

Efficient Quantification of Multimodal Interaction at Sample Level Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:52:32.330835Z

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 5f5153b9-6e44-4bdb-ae19-890ad324f59d · outbound

This paper cites Modality dropout for improved performance-driven talking faces.

Efficient Quantification of Multimodal Interaction at Sample Level Modality dropout for improved performance-driven talking faces

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:52:32.421813Z

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 76fc0a54-36e4-440e-bddf-b6fdb68f5579 · outbound

This paper cites Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications.

Efficient Quantification of Multimodal Interaction at Sample Level Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.256147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ac0c3c-ab6a-4d69-8447-200c95f06dec · outbound

This paper cites UR-FUNNY: A Multimodal Language Dataset for Understanding Humor.

Efficient Quantification of Multimodal Interaction at Sample Level UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.244311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d53c37-4dac-4566-8139-7ece982f0470 · outbound

This paper cites Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.

Efficient Quantification of Multimodal Interaction at Sample Level Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:32.240171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.