Paper Citation Record · LEDGER

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2504.13465.

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

pith.paper-citation-record.v1
2504.13465 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:28.793239Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6857bae7-05ca-49df-9822-2d460518f4de · outbound

This paper cites Space Complexity.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Space Complexity

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:28.922709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1743076b-b7dd-4dfe-aa38-6f854681a7ae · outbound

This paper cites Deep ordinal regression network for monocular depth estimation.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Deep ordinal regression network for monocular depth estimation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:29.014927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2be46879-ddc3-43b0-bbaf-63b088674996 · outbound

This paper cites Hamlet: A hierarchical multimodal attention-based human activ- ity recognition algorithm.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Hamlet: A hierarchical multimodal attention-based human activ- ity recognition algorithm

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:28.999126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 437c1dcb-8e40-4d68-87ed-c0407151b8f1 · outbound

This paper cites Towards robust multimodal prompting with missing modalities.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Towards robust multimodal prompting with missing modalities

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:28.982377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74bf6301-0581-4397-8557-24a1fb67a60d · outbound

This paper cites Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:28.770775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de11c037-d02d-4dad-a910-3c638659e298 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Dropout: a simple way to prevent neural networks from overfitting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:28.777351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e70faee-a34c-46da-b8da-7ff149e256e9 · outbound

This paper cites Supervised Multimodal Bitransformers for Classifying Images and Text.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Supervised Multimodal Bitransformers for Classifying Images and Text

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:28.765867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c56934-df3b-4f5a-a465-4067fb274848 · outbound

This paper cites Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:28.738920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a27ba16-29ad-4c97-aa4b-194a34cf2bff · outbound

This paper cites Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:28.750814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a95fc0e0-31ef-4fe2-a04d-fbb9969234a6 · outbound

This paper cites Multimodal multi-loss fusion network for sentiment analysis.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Multimodal multi-loss fusion network for sentiment analysis

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:28.955695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a760c018-cb8e-4b83-ac73-843633a835cb · outbound

This paper cites doi: 10.1007/s00521-019-04559-1.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation doi: 10.1007/s00521-019-04559-1

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:28.721639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089bf884-31bf-4015-b348-d45c8d363471 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T12:12:28.732490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff24c83-b7f9-4c93-9c7d-24dbdd55402c · outbound

This paper cites Utd-mhad: A multimodal dataset for hu- man action recognition utilizing a depth camera and a wearable inertial sensor.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Utd-mhad: A multimodal dataset for hu- man action recognition utilizing a depth camera and a wearable inertial sensor

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:29.031186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51783953-6854-42b7-bf78-b7457029f05d · outbound

This paper cites Recent research has focused on developing models resilient to missing modalities Ma et al.

Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation Recent research has focused on developing models resilient to missing modalities Ma et al

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:12:28.939106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.