Paper Citation Record · LEDGER

Learning Optimal Multimodal Information Bottleneck Representations

As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2505.19996.

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

pith.paper-citation-record.v1
2505.19996 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:01.273760Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:50:07.586607Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:52:45.172878Z

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d3d42a3-c0e0-4898-9171-006964f2ad31 · outbound

This paper cites an unresolved cited work.

Learning Optimal Multimodal Information Bottleneck Representations Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:11:01.798427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6573c08d-07f0-4a3e-b285-e0a7221a3603 · outbound

This paper cites Majority vote of diverse classifiers for late fusion.

Learning Optimal Multimodal Information Bottleneck Representations Majority vote of diverse classifiers for late fusion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.617945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6c80628-ec18-41f9-86b9-4a664a8adfaa · outbound

This paper cites The information bottleneck method.

Learning Optimal Multimodal Information Bottleneck Representations The information bottleneck method

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:00.686801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de7e3019-8cb9-4f63-bcf9-9975f30409fa · outbound

This paper cites Deep multi-view information bottleneck.

Learning Optimal Multimodal Information Bottleneck Representations Deep multi-view information bottleneck

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.373878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16dfe2c5-e979-43fa-8b68-1f9c207b1cc3 · outbound

This paper cites iii) I(x1; x2; · · ·; xn+1) = I(x1; · · ·; xn) − I(x1; · · ·; xn|xn+1).

Learning Optimal Multimodal Information Bottleneck Representations iii) I(x1; x2; · · ·; xn+1) = I(x1; · · ·; xn) − I(x1; · · ·; xn|xn+1)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.108055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e75882e6-178e-4ca8-b101-d81f175b33ac · outbound

This paper cites an unresolved cited work.

Learning Optimal Multimodal Information Bottleneck Representations Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:11:02.003150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4fd5c622-b522-455a-ad5c-6c3e1f5b6b69 · outbound

This paper cites The TRB loss LT RBis cross-entropy; • The CMU-MOSI dataset: The prediction head is implemented as a single linear layer MLP (input X 50 X 1), outputting a single real value.

Learning Optimal Multimodal Information Bottleneck Representations The TRB loss LT RBis cross-entropy; • The CMU-MOSI dataset: The prediction head is implemented as a single linear layer MLP (input X 50 X 1), outputting a single real value

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:01.697609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1283dd88-eb74-4e34-97f3-28bf3c41297d · outbound

This paper cites This configuration implies that Modality I dominates Modality II in terms of task-relevant information.

Learning Optimal Multimodal Information Bottleneck Representations This configuration implies that Modality I dominates Modality II in terms of task-relevant information

Reference 200

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:01.919152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31d3a31e-5136-4f26-9540-e205c3a5bad5 · outbound

This paper cites an unresolved cited work.

Learning Optimal Multimodal Information Bottleneck Representations Unresolved cited work

Reference 256

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:11:01.583489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1cd2b1c-756f-42f6-ac7a-33d295e0473b · outbound

This paper cites Dual advancement of representation learning and clustering for sparse and noisy images.

Learning Optimal Multimodal Information Bottleneck Representations Dual advancement of representation learning and clustering for sparse and noisy images

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.715021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2ed3255-c7ab-49fa-8d2d-447476bf64cb · outbound

This paper cites Temporal graph convolutional network for multimodal sentiment analysis.

Learning Optimal Multimodal Information Bottleneck Representations Temporal graph convolutional network for multimodal sentiment analysis

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.826965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5e2e0c2-a27e-4029-a10e-958a3d634c72 · outbound

This paper cites Tensor fusion network for multimodal sentiment analysis.

Learning Optimal Multimodal Information Bottleneck Representations Tensor fusion network for multimodal sentiment analysis

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.210979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f532ec11-ab82-4341-833e-805d2ee6f677 · outbound

This paper cites Auto-Encoding Variational Bayes.

Learning Optimal Multimodal Information Bottleneck Representations Auto-Encoding Variational Bayes

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:00.410843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d96893e-c273-48ea-9d92-fe5e5b819125 · outbound

This paper cites and Zaslavsky, N.

Learning Optimal Multimodal Information Bottleneck Representations and Zaslavsky, N

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.484919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57fa6ade-4311-4811-9698-0fa4a923d1bd · outbound

This paper cites Dynamic multimodal infor- mation bottleneck for multimodality classification.

Learning Optimal Multimodal Information Bottleneck Representations Dynamic multimodal infor- mation bottleneck for multimodality classification

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:02.926737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f49303a-c09f-4287-bd63-4352c8fb7fa5 · outbound

This paper cites A Methodological Framework for Measuring Spatial Labeling Similarity.

Learning Optimal Multimodal Information Bottleneck Representations A Methodological Framework for Measuring Spatial Labeling Similarity

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:11:01.421905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation c25b3077-786c-4b38-a627-22c0ac87a5cf · inbound

When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework cites this paper.

When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework Learning Optimal Multimodal Information Bottleneck Representations

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:52:45.174772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.