Paper Citation Record · LEDGER

Improving Multimodal Learning via Imbalanced Learning

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2507.10203.

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

pith.paper-citation-record.v1
2507.10203 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:02.959815Z

measured 42 of 42 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:12:16.490080Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.633556Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 908ea99e-ec7f-4dab-807d-281ef5ee7609 · outbound

This paper cites Deep audio-visual speech recognition.

Improving Multimodal Learning via Imbalanced Learning Deep audio-visual speech recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.151546Z

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Observation 870ef843-6124-4d69-8c27-a8dfb638175c · outbound

This paper cites Learnable irrelevant modality dropout for multimodal action recogni- tion on modality-specific annotated videos.

Improving Multimodal Learning via Imbalanced Learning Learnable irrelevant modality dropout for multimodal action recogni- tion on modality-specific annotated videos

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.141154Z

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Observation 5689b35d-f4aa-4a65-800a-f9e6599055b4 · outbound

This paper cites Look, listen and learn.

Improving Multimodal Learning via Imbalanced Learning Look, listen and learn

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.130252Z

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Observation d8f66f01-31ac-4c14-afc7-46ee85adeb91 · outbound

This paper cites Mmnet: A model-based multimodal net- work for human action recognition in rgb-d videos.

Improving Multimodal Learning via Imbalanced Learning Mmnet: A model-based multimodal net- work for human action recognition in rgb-d videos

Reference 4

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Observation bb8cf2b1-9d6e-4b50-9db1-f193c67532a9 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset.

Improving Multimodal Learning via Imbalanced Learning Crema-d: Crowd-sourced emotional multimodal actors dataset

Reference 5

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Observation 27e970f0-5db4-499f-b479-0edbc255f275 · outbound

This paper cites Shapeconv: Shape- aware convolutional layer for indoor rgb-d semantic segmen- tation.

Improving Multimodal Learning via Imbalanced Learning Shapeconv: Shape- aware convolutional layer for indoor rgb-d semantic segmen- tation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.099921Z

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Observation 090b2373-3d58-4812-acf2-52839de0e9f6 · outbound

This paper cites Mars: Motion-augmented rgb stream for action recognition.

Improving Multimodal Learning via Imbalanced Learning Mars: Motion-augmented rgb stream for action recognition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.089975Z

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Observation d70d8552-957f-4f2d-93db-df5c5f1a49c9 · outbound

This paper cites Rfnet: Region-aware fusion network for incomplete multi-modal brain tumor seg- mentation.

Improving Multimodal Learning via Imbalanced Learning Rfnet: Region-aware fusion network for incomplete multi-modal brain tumor seg- mentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.079799Z

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Observation 56ae7472-50dd-4a9d-a811-b6ccc6b54b98 · outbound

This paper cites Improving Multi-Modal Learning with Uni-Modal Teachers.

Improving Multimodal Learning via Imbalanced Learning Improving Multi-Modal Learning with Uni-Modal Teachers

Reference 9

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Observation 80d8db26-e4da-4b2c-a730-c0baa53087b0 · outbound

This paper cites Pmr: Prototypical modal rebalance for multi- modal learning.

Improving Multimodal Learning via Imbalanced Learning Pmr: Prototypical modal rebalance for multi- modal learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.070117Z

Source-reported events for the cited work

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Observation a2c688b3-b0a8-4981-a291-8b13f3bc6926 · outbound

This paper cites Modal- ity distillation with multiple stream networks for action recognition.

Improving Multimodal Learning via Imbalanced Learning Modal- ity distillation with multiple stream networks for action recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.060418Z

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Observation beb8b611-420f-4c29-803a-3ddf8c140bd8 · outbound

This paper cites Ensembles of classifiers: a bias-variance perspective.

Improving Multimodal Learning via Imbalanced Learning Ensembles of classifiers: a bias-variance perspective

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.050546Z

Source-reported events for the cited work

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Observation c83e7b7a-be43-4e5d-832c-746131b003f8 · outbound

This paper cites Deep multimodal multilinear fusion with high- order polynomial pooling.

Improving Multimodal Learning via Imbalanced Learning Deep multimodal multilinear fusion with high- order polynomial pooling

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.040940Z

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Observation 6627c548-462e-4f12-a30a-35a3182e0432 · outbound

This paper cites Acnet: Attention based network to exploit complementary features for rgbd semantic segmentation.

Improving Multimodal Learning via Imbalanced Learning Acnet: Attention based network to exploit complementary features for rgbd semantic segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.031071Z

Source-reported events for the cited work

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Observation 0272ce6d-d5ea-4e57-b70d-0bd55f980b6a · outbound

This paper cites ReconBoost: Boosting Can Achieve Modality Reconcilement.

Improving Multimodal Learning via Imbalanced Learning ReconBoost: Boosting Can Achieve Modality Reconcilement

Reference 15

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Observation 062b0f28-00f9-437d-981a-8897d25e22cf · outbound

This paper cites Cdnet: Complementary depth network for rgb-d salient object detection.

Improving Multimodal Learning via Imbalanced Learning Cdnet: Complementary depth network for rgb-d salient object detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.021501Z

Source-reported events for the cited work

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Observation b8f3358e-4e2b-4b2a-a6d2-b51f2adb0d91 · outbound

This paper cites Mmtm: Multimodal transfer module for cnn fusion.

Improving Multimodal Learning via Imbalanced Learning Mmtm: Multimodal transfer module for cnn fusion

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.012004Z

Source-reported events for the cited work

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Observation 6b7095c3-04d1-4a47-88c5-843a16aacd69 · outbound

This paper cites Boosting multi-modal model performance with adaptive gradient modulation.

Improving Multimodal Learning via Imbalanced Learning Boosting multi-modal model performance with adaptive gradient modulation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:05.002777Z

Source-reported events for the cited work

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Observation 36d3755b-6146-47a6-a8f8-f9abcd328aa8 · outbound

This paper cites Dynamic- hierarchical attention distillation with synergetic instance se- lection for land cover classification using missing hetero- geneity images.

Improving Multimodal Learning via Imbalanced Learning Dynamic- hierarchical attention distillation with synergetic instance se- lection for land cover classification using missing hetero- geneity images

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.992315Z

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Observation e53318f0-d5f0-4354-b788-35161b0ee046 · outbound

This paper cites librosa: Audio and music signal analysis in python.

Improving Multimodal Learning via Imbalanced Learning librosa: Audio and music signal analysis in python

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.981996Z

Source-reported events for the cited work

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Observation ee519e5c-5c5f-4ad7-9ca9-227dce635116 · outbound

This paper cites Balanced multimodal learning via on-the-fly gradient modulation.

Improving Multimodal Learning via Imbalanced Learning Balanced multimodal learning via on-the-fly gradient modulation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.971752Z

Source-reported events for the cited work

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Observation 67e67f09-9c36-4f60-a186-b9c7e0ca4750 · outbound

This paper cites Efficient rgb-d seman- tic segmentation for indoor scene analysis.

Improving Multimodal Learning via Imbalanced Learning Efficient rgb-d seman- tic segmentation for indoor scene analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.961492Z

Source-reported events for the cited work

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Observation 0192a209-8e5d-4645-8027-d2db3ea6a060 · outbound

This paper cites Opti- mizing ensemble weights and hyperparameters of machine learning models for regression problems.

Improving Multimodal Learning via Imbalanced Learning Opti- mizing ensemble weights and hyperparameters of machine learning models for regression problems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.951626Z

Source-reported events for the cited work

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Observation af0e8584-6fdf-461a-a0cb-56e518cce116 · outbound

This paper cites Multimodal sparse transformer network for audio-visual speech recognition.

Improving Multimodal Learning via Imbalanced Learning Multimodal sparse transformer network for audio-visual speech recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.860641Z

Source-reported events for the cited work

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Observation 7ae7a4cc-7c28-4ff6-82ff-e75541299bee · outbound

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

Improving Multimodal Learning via Imbalanced Learning UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 25

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Observation 0acac3b4-316a-4cc4-86dc-af2521c4ed4c · outbound

This paper cites Deep rgb-d saliency detection with depth-sensitive attention and automatic multi-modal fusion.

Improving Multimodal Learning via Imbalanced Learning Deep rgb-d saliency detection with depth-sensitive attention and automatic multi-modal fusion

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.741289Z

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Observation b922028d-6634-4da3-ae14-96e1d85b9947 · outbound

This paper cites Audio-visual event localization in unconstrained videos.

Improving Multimodal Learning via Imbalanced Learning Audio-visual event localization in unconstrained videos

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.535266Z

Source-reported events for the cited work

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Observation c856842f-733f-4573-b385-e55543701bf7 · outbound

This paper cites What makes train- ing multi-modal classification networks hard? In Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12695–12705, 2020.

Improving Multimodal Learning via Imbalanced Learning What makes train- ing multi-modal classification networks hard? In Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12695–12705, 2020

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.413808Z

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Observation 59291014-997e-4f04-a81f-2007525ac98b · outbound

This paper cites Mmanet: Margin- aware distillation and modality-aware regularization for in- complete multimodal learning.

Improving Multimodal Learning via Imbalanced Learning Mmanet: Margin- aware distillation and modality-aware regularization for in- complete multimodal learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.283705Z

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Observation 1d5ef1b2-0672-4333-8fb5-06ff6fcf2195 · outbound

This paper cites Mmanet: Margin- aware distillation and modality-aware regularization for in- complete multimodal learning.

Improving Multimodal Learning via Imbalanced Learning Mmanet: Margin- aware distillation and modality-aware regularization for in- complete multimodal learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.186328Z

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Observation a6ff03a9-47fb-497f-b4fb-671c8c11c719 · outbound

This paper cites Privi- leged modality learning via multimodal hallucination.

Improving Multimodal Learning via Imbalanced Learning Privi- leged modality learning via multimodal hallucination

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:04.016758Z

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Observation f5ecd532-4afe-44ae-95bf-6d0e6b01be2c · outbound

This paper cites Msh- net: Modality-shared hallucination with joint adaptation dis- tillation for remote sensing image classification using miss- ing modalities.

Improving Multimodal Learning via Imbalanced Learning Msh- net: Modality-shared hallucination with joint adaptation dis- tillation for remote sensing image classification using miss- ing modalities

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:03.900389Z

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Observation a54a07cb-2b5e-442a-b59a-45a13b5a8303 · outbound

This paper cites Ro- bust multimodal learning via representation decoupling.

Improving Multimodal Learning via Imbalanced Learning Ro- bust multimodal learning via representation decoupling

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:03.713025Z

Source-reported events for the cited work

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Observation 30d0020c-f429-42a9-b865-e681c224d742 · outbound

This paper cites MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance.

Improving Multimodal Learning via Imbalanced Learning MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance

Reference 34

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Observation e355758e-f3be-4d03-86c2-1655b43641ce · outbound

This paper cites Enhancing multimodal cooperation via sample-level modality valuation.

Improving Multimodal Learning via Imbalanced Learning Enhancing multimodal cooperation via sample-level modality valuation

Reference 35

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Observation 7a548bbe-b269-40e5-8bf3-8f26c8278e7d · outbound

This paper cites Diagnos- ing and re-learning for balanced multimodal learning.

Improving Multimodal Learning via Imbalanced Learning Diagnos- ing and re-learning for balanced multimodal learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:03.489911Z

Source-reported events for the cited work

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Observation ffa7e1c7-f67d-46af-91c2-b881c1addf4c · outbound

This paper cites Mmcosine: Multi-modal cosine loss towards balanced audio-visual fine-grained learning.

Improving Multimodal Learning via Imbalanced Learning Mmcosine: Multi-modal cosine loss towards balanced audio-visual fine-grained learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:03.366133Z

Source-reported events for the cited work

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Observation 60cfb31d-c657-4b08-b8d3-bebbaed4bc1d · outbound

This paper cites Multi-attention recurrent network for human communication comprehen- sion.

Improving Multimodal Learning via Imbalanced Learning Multi-attention recurrent network for human communication comprehen- sion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:03.198760Z

Source-reported events for the cited work

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Observation ba50fa90-47be-42f5-bc90-c4aab0e3ba35 · outbound

This paper cites Multimodal Fusion on Low-quality Data: A Comprehensive Survey.

Improving Multimodal Learning via Imbalanced Learning Multimodal Fusion on Low-quality Data: A Comprehensive Survey

Reference 39

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Observation f6b29080-2a50-46d5-9158-63c17ac97e5d · outbound

This paper cites Multimodal Representation Learning by Alternating Unimodal Adaptation.

Improving Multimodal Learning via Imbalanced Learning Multimodal Representation Learning by Alternating Unimodal Adaptation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:02.885780Z

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Observation 5739ee6a-c6da-41a1-bafb-e20cd885e131 · outbound

This paper cites mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.

Improving Multimodal Learning via Imbalanced Learning mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:02.959815Z

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Pith citing papers

Observation 8af3ae09-e80d-4609-a093-83081d5132f9 · inbound

Before Fusion, Ask What to Keep: Contextual Calibration of Multimodal Signals cites this paper.

Before Fusion, Ask What to Keep: Contextual Calibration of Multimodal Signals Improving Multimodal Learning via Imbalanced Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:17.634863Z

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.