Paper Citation Record · LEDGER

Balance-aware Sequence Sampling Makes Multi-modal Learning Better

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.01470.

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

pith.paper-citation-record.v1
2501.01470 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:38.338374Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

38 of 38 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c24baa6b-e468-4852-b1fe-e1c0897eefbd · outbound

This paper cites Look, listen and learn.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Look, listen and learn

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.822274Z

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Observation 541b6a41-7655-42a4-a5a9-798d91de6256 · outbound

This paper cites Cooper, Michael K.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Cooper, Michael K

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.773359Z

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Observation 8bc1afc2-d2ea-46f8-8d2d-9c2061d89db1 · outbound

This paper cites Vggsound: A large-scale audio-visual dataset.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Vggsound: A large-scale audio-visual dataset

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.747800Z

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Observation 30240358-d7f9-4d42-bae7-c702695d722c · outbound

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

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Improving Multi-Modal Learning with Uni-Modal Teachers

Reference 9

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Observation b3b162c9-9882-4481-9c3a-f34a5c16890a · outbound

This paper cites On the power of curriculum learning in training deep networks.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better On the power of curriculum learning in training deep networks

Reference 13

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Observation 2b999fc4-6567-4aea-85e4-e61d40f9ca75 · outbound

This paper cites Deep residual learning for image recog- nition.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Deep residual learning for image recog- nition

Reference 14

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Observation 1144e74f-51c8-4726-8b57-a62de1139a6d · outbound

This paper cites Modality competition: What makes joint training of multi-modal network fail in deep learning? (provably).

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Modality competition: What makes joint training of multi-modal network fail in deep learning? (provably)

Reference 16

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Observation e198c061-0fa8-4828-8d79-bf2b6dc03530 · outbound

This paper cites Dolphins: Multimodal language model for driving.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Dolphins: Multimodal language model for driving

Reference 18

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Observation adaad66d-cb38-4b6f-93b1-3251a423355a · outbound

This paper cites Online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural net- works.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural net- works

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.630024Z

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Observation 5bf0165e-bdff-470d-8c6d-a9e38f1a7759 · outbound

This paper cites Taylor, and Peter Stone.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Taylor, and Peter Stone

Reference 20

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Observation e4900f57-b578-429c-989b-6515dfc50b71 · outbound

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

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Balanced multimodal learning via on-the-fly gradient modulation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.606458Z

Source-reported events for the cited work

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Observation 84c6a388-9602-4598-8938-8933ef628092 · outbound

This paper cites Mitchell.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Mitchell

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.595142Z

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Observation 817835a0-46f3-462d-bee0-cd1e2b9714f0 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Learning transferable visual models from natural language supervi- sion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.583872Z

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Observation 4d76a703-dd0f-4708-a20d-cb288177ee77 · outbound

This paper cites Sentiment and emotion- aware multi-modal complaint identification.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Sentiment and emotion- aware multi-modal complaint identification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.574062Z

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Observation ab0029c4-0a7f-41b1-9e83-2e823d7985f2 · outbound

This paper cites Curriculum learning: A sur- vey.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Curriculum learning: A sur- vey

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.562202Z

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Observation 5cf8fe83-41c4-461a-986a-92ee940e2d0c · outbound

This paper cites Utilizing greedy nature for multimodal conditional image synthesis in transformers.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Utilizing greedy nature for multimodal conditional image synthesis in transformers

Reference 26

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Observation 5ad0d939-f0b5-4888-8d6b-8be44a880b87 · outbound

This paper cites Semi-supervised action recognition from tem- poral augmentation using curriculum learning.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Semi-supervised action recognition from tem- poral augmentation using curriculum learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.536846Z

Source-reported events for the cited work

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Observation 320f0375-757d-470b-96ca-e985c47490ae · outbound

This paper cites Covlr: Coordinating cross-modal consistency and intra-modal relations for vision-language retrieval.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Covlr: Coordinating cross-modal consistency and intra-modal relations for vision-language retrieval

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.525764Z

Source-reported events for the cited work

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Observation aa5121b8-b041-48e2-a52f-188b27fbe912 · outbound

This paper cites What makes training multi-modal classification net- works hard? In CVPR, pages 12692–12702,.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better What makes training multi-modal classification net- works hard? In CVPR, pages 12692–12702,

Reference 29

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This paper cites A survey on curriculum learning.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better A survey on curriculum learning

Reference 30

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Observation e8b8eab9-0560-45a7-9349-e67a4eb567c9 · outbound

This paper cites Curriculum learning for multimedia in the era of large language models.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Curriculum learning for multimedia in the era of large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.489767Z

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Observation dd7a803e-24ee-47ec-8cf5-265bdba7fa17 · outbound

This paper cites an unresolved cited work.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Unresolved cited work

Reference 32

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Observation cc18dfa6-78c4-41a2-bea4-9b2402771abf · outbound

This paper cites Audiovisual SlowFast Networks for Video Recognition.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Audiovisual SlowFast Networks for Video Recognition

Reference 33

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Observation 8a2bac6a-ca25-4256-a85a-3090e496bdce · outbound

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Balance-aware Sequence Sampling Makes Multi-modal Learning Better Unresolved cited work

Reference 34

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Observation b4660062-8194-4c25-896b-3253f3bbc3f3 · outbound

This paper cites Modality-specific learning rates for effective multimodal additive late-fusion.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Modality-specific learning rates for effective multimodal additive late-fusion

Reference 35

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Observation 898efa5d-5128-4967-86f7-3369d4fb90c7 · outbound

This paper cites Adapting BERT for target-oriented multimodal sentiment classifica- tion.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Adapting BERT for target-oriented multimodal sentiment classifica- tion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.434333Z

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Observation 07708df6-f2b2-4d7f-9f3d-bdd787208de7 · outbound

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

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Multimodal Fusion on Low-quality Data: A Comprehensive Survey

Reference 37

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Observation c1b04e61-ad65-4b34-8c44-34dc822658a5 · outbound

This paper cites Unis-mmc: Multimodal classification via unimodality- supervised multimodal contrastive learning.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Unis-mmc: Multimodal classification via unimodality- supervised multimodal contrastive learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.422327Z

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Observation 9566d1d7-ca3f-4a51-afc1-8d22a201ee6c · outbound

This paper cites Multi-modal sarcasm detection in twitter with hierarchical fusion model.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Multi-modal sarcasm detection in twitter with hierarchical fusion model

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.786026Z

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Observation 45c5f643-f75c-4a42-a2a5-65780e3c8583 · outbound

This paper cites Quo vadis, action recognition? A new model and the kinetics dataset.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Quo vadis, action recognition? A new model and the kinetics dataset

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.760790Z

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Observation 696c64d4-ce8d-4843-94df-a9bf34d0af70 · outbound

This paper cites Reconboost: Boost- ing can achieve modality reconcilement.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Reconboost: Boost- ing can achieve modality reconcilement

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.662323Z

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Observation 9d0b4b40-c19b-4258-a317-fb5d48eb49cc · outbound

This paper cites Multimodal machine learning: A survey and taxonomy.TPAMI, 41(2):423–443,.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Multimodal machine learning: A survey and taxonomy.TPAMI, 41(2):423–443,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.811731Z

Source-reported events for the cited work

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Observation 636b351e-fe2e-4209-9fc1-20f45c382c3e · outbound

This paper cites Curriculum learning.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Curriculum learning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.798029Z

Source-reported events for the cited work

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Observation 717efd16-b21e-4a8a-a463-ded2129ad06c · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understand- ing.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better BERT: pre-training of deep bidirectional transformers for language understand- ing

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.733522Z

Source-reported events for the cited work

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Observation f9373552-18fe-4fd0-a1ca-0cdb65828db0 · outbound

This paper cites PMR: prototypical modal rebalance for multimodal learning.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better PMR: prototypical modal rebalance for multimodal learning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.720566Z

Source-reported events for the cited work

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Observation fee71565-6702-446f-b495-6afc2bd1c61b · outbound

This paper cites Multimodal Classification via Modal-Aware Interactive Enhancement.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Multimodal Classification via Modal-Aware Interactive Enhancement

Reference 2022

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Observation a59ce30e-3eaa-4069-ad24-5c85efc22700 · outbound

This paper cites Detached and interac- tive multimodal learning.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Detached and interac- tive multimodal learning

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.707014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31243c6f-4323-4ed6-8d34-2569ac7b2a9e · outbound

This paper cites Maybank, and Dacheng Tao.

Balance-aware Sequence Sampling Makes Multi-modal Learning Better Maybank, and Dacheng Tao

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:38.694037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.