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Paper Citation Record · LEDGER

Improving Multimodal Learning Balance and Sufficiency through Data Remixing

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.11550.

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

pith.paper-citation-record.v1
2506.11550 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:26.201549Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a548648-f9e1-474f-bea7-08474783b0d5 · outbound

This paper cites write newline.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing write newline

Reference 1

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no resolver link, observed 2026-08-07T04:10:22.711341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:22.711341Z digest=sha256:27ea35077ee0b0be9a38c7e846ea93b892e183b45672c225dd023a210c05b3d6

Observation a37b3747-9691-4892-aaf4-a8838f5588c3 · outbound

This paper cites and Zisserman, A.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing and Zisserman, A

Reference 2

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no resolver link, observed 2026-08-07T04:10:22.754631Z

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source=arxiv_source observed=2026-08-07T04:10:22.754631Z digest=sha256:5b8b9419bb2e859845e500f893e0a9f87b3cef7ef15653638073d8a4547a0950

Observation ef675764-2246-43ac-9302-17998766915c · outbound

This paper cites G., Keutmann, M.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing G., Keutmann, M

Reference 3

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:10:22.825029Z digest=sha256:618ba3098d9e4c88f30b55d1133f666c3bfde9f1e4c2c6f45a661b9b5589d20e

Observation 3a4a5f74-4125-4b6d-a635-0aaaf7dbd6b4 · outbound

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Improving Multi-Modal Learning with Uni-Modal Teachers

Reference 4

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Observation 1b778fed-948f-4364-9a02-7a15a5b8d1dd · outbound

This paper cites On uni-modal feature learning in supervised multi-modal learning.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing On uni-modal feature learning in supervised multi-modal learning

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:22.938216Z digest=sha256:b170e97a8e3f398f29e3cd494358be7f19adedbca8ec52d5c4f5253e7c1793be

Observation d32cf719-3579-4c31-808a-781c5b578f4f · outbound

This paper cites Pmr: Prototypical modal rebalance for multimodal learning.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Pmr: Prototypical modal rebalance for multimodal learning

Reference 6

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no resolver link, observed 2026-08-07T04:10:23.009270Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:23.009270Z digest=sha256:2ab6d1d2963bfbdbb35b138f63dfefa66c4459e6fb131d19863c38c7cf382784

Observation 0ac5d141-ba34-432e-a46b-bdce2cb1aa30 · outbound

This paper cites Multimodal imbalance-aware gradient modulation for weakly-supervised audio-visual video parsing.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Multimodal imbalance-aware gradient modulation for weakly-supervised audio-visual video parsing

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:30.536474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:23.076510Z digest=sha256:12c09f31a18f1f5995b8f069fd6ba3468d77abde9530bcd37bc9e37865ecb541

Observation 3d89c427-7763-4a34-8d2c-90e16c49c61f · outbound

This paper cites and Zou, J.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing and Zou, J

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:30.501756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:23.142989Z digest=sha256:8512d21119ce6cc56132181c266edc15a443741ca8ea28154947be8a8db055d0

Observation 4c371302-6473-4e1a-9c27-2220902b6e49 · outbound

This paper cites and Piccardi, M.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing and Piccardi, M

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:30.171070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:23.207396Z digest=sha256:fe29682a220624a57aa420f8471c5476648511ff65f56ef11273c56f0be0eb89

Observation ead9fb94-6b5e-4e7d-a6fa-451af295da41 · outbound

This paper cites Deep residual learning for image recognition.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Deep residual learning for image recognition

Reference 10

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no resolver link, observed 2026-08-07T04:10:23.271112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:23.271112Z digest=sha256:cfa58369e6a4ddec95bcd0c8bc6924568bf971fb7b8b6976637cbf74e61b0675

Observation 49f68553-7711-4e61-a2b9-55abf0f5cece · outbound

This paper cites Multimodal temporal attention in sentiment analysis.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Multimodal temporal attention in sentiment analysis

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:29.842232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:23.327228Z digest=sha256:b4509cdab7ca0318215448a96d1adadece259d84227433b42e895305101af5cb

Observation 1948d1d7-4c49-4f0f-8181-5ecd58202e3b · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Improving neural networks by preventing co-adaptation of feature detectors

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 32cd2ecb-c47d-4db9-be75-b762e021b3b7 · outbound

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Modality competition: What makes joint training of multi-modal network fail in deep learning?(provably)

Reference 13

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source=arxiv_source observed=2026-08-07T04:10:23.489321Z digest=sha256:a77c929086e89f42347e32cfcdf1b8c7839f9fe63b583193c9f1e369d869a6b4

Observation 32118ad0-dc20-42cb-a51f-290795e1db07 · outbound

This paper cites an unresolved cited work.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-07T04:10:23.619934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:23.619934Z digest=sha256:8aec10eee0f6c7bb3315afb0d5125898292ebf508d777394df8eef6c194469fe

Observation 5fc06bc0-4b0f-4b26-8797-9a98b0e95f33 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing The Kinetics Human Action Video Dataset

Reference 15

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no resolver link, observed 2026-08-07T04:10:23.745725Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:23.745725Z digest=sha256:d99b01861bfcb0e930801b874b8a4fbe0f25d2e9ac0affeb757c9418709ecc04

Observation c70e264f-0b6b-4362-bcac-496f4c08b55a · outbound

This paper cites Efficient large-scale multi-modal classification.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Efficient large-scale multi-modal classification

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:29.594072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:23.880084Z digest=sha256:1baa774fe22da08f813113bedda3a4338992c51e36974deed756a7ea991bffda

Observation 829b936d-f245-4217-b538-1bef5d29f346 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Adam: A Method for Stochastic Optimization

Reference 17

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unresolved
no resolver link, observed 2026-08-07T04:10:24.025073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:24.025073Z digest=sha256:b4e86e54a33549da077a8d672f67a134fa80bfa8f6a3e30db39a42dbd852150b

Observation cd2bdb4f-e0cb-4b42-bdf5-ff41b9ad5c0b · outbound

This paper cites Improving Multimodal Learning with Multi-Loss Gradient Modulation.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Improving Multimodal Learning with Multi-Loss Gradient Modulation

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 2933294e-1119-451e-8bef-39f6d905a80b · outbound

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Boosting multi-modal model performance with adaptive gradient modulation

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e0d6d25b-6979-43dd-ad18-4559de3f7fb9 · outbound

This paper cites Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:10:26.448724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:24.420906Z digest=sha256:ffd0afe841346f58e122fc819ad79544cd0f872ef171257f9f04e310d329af11

Observation 96529e4a-2b61-424a-b6d0-e66114088001 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 21

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no resolver link, observed 2026-08-07T04:10:24.551100Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:24.551100Z digest=sha256:73ff5b8767b6dc40eca79b575aa7cb3ffb2ddc391f0101a0e922ab29a1c74bae

Observation 73ac3bbb-77bb-44f7-85c7-7adf0d51a014 · outbound

This paper cites Y., et al.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Y., et al

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:29.222101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:24.643431Z digest=sha256:f276137de3ed9d1fafa4e44e41fc40d48768896319536e25b282daa81469b151

Observation cfeb68f4-f573-4ade-85c5-d9de5a4c8155 · outbound

This paper cites and Efros, A.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing and Efros, A

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:24.731313Z digest=sha256:016e3db1c3d2a47371599adc110a8b56c351f572b994fa213385265302a826b7

Observation 8fb4b2a3-62e0-4ad5-8ecb-be3c553a1945 · outbound

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Balanced multimodal learning via on-the-fly gradient modulation

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 1baf4fb1-0daa-4f07-a19e-20c88c4711f3 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Film: Visual reasoning with a general conditioning layer

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:24.900289Z digest=sha256:6b4eaec70d013af23915bbc1e34f3b5a8a09d11467051d88ce4a93d6bf243547

Observation 05f3c57a-e8e3-46ab-b66c-22c2b7e279cd · outbound

This paper cites Graph interactive network with adaptive gradient for multi-modal rumor detection.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Graph interactive network with adaptive gradient for multi-modal rumor detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:28.859950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:24.991403Z digest=sha256:4f4139fc616ddec3cb4aff5c89f610415488361b607fc1c130b647e4d4012cb8

Observation d590d297-cad3-497b-9b2f-61a353e0f4cd · outbound

This paper cites Learning to balance the learning rates between various modalities via adaptive tracking factor.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Learning to balance the learning rates between various modalities via adaptive tracking factor

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:28.674407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:25.076646Z digest=sha256:0cd42a8ea04e3306e4501b9ec6d78bec5732b1054f432350f2e16281a7af77f4

Observation 0b34001e-84c2-4555-b6f7-721dbb80dc7e · outbound

This paper cites and Hinton, G.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing and Hinton, G

Reference 28

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unresolved
no resolver link, observed 2026-08-07T04:10:25.162190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:25.162190Z digest=sha256:f66a7c7e3cc685deaf0d3af953e07444bfd257b4573d8b793139a6285f289e13

Observation 288b2044-a7b1-4cb0-b9cf-28828a11a4d8 · outbound

This paper cites Centralnet: a multilayer approach for multimodal fusion.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Centralnet: a multilayer approach for multimodal fusion

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:28.487663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:25.229454Z digest=sha256:277442f7f69ce9c6a43faed53181e7901d047b2f36d4c36b9755a5100f708993

Observation a7fb419c-4dec-44d9-9bf6-b689ff1b43ac · outbound

This paper cites What makes training multi-modal classification networks hard? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.\ 12695--12705, 2020.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing What makes training multi-modal classification networks hard? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.\ 12695--12705, 2020

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:28.330146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:25.320568Z digest=sha256:3de80c1bde8b7c26a76311c026ac8a39f141c422b2236ff25197a44d0f15c605

Observation 5c509e4e-dfa4-401d-a12a-3cdbe95f0733 · outbound

This paper cites and Hu, D.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing and Hu, D

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T04:10:28.135413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:25.401392Z digest=sha256:8d835086e42a75dff528f02cc2b75598d663eac34f20dc23855e352277724793

Observation 8ce45d74-709e-4ecd-b3ec-b2aef8c70c21 · outbound

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Enhancing multimodal cooperation via sample-level modality valuation

Reference 32

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unresolved
no resolver link, observed 2026-08-07T04:10:25.506597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:25.506597Z digest=sha256:35abaaef23853bd376c9b14e946933e195a237e745e92e5df0c28621469d0d08

Observation 29b606e7-f28d-40b4-8212-01f0a0aff8ff · outbound

This paper cites Diagnosing and re-learning for balanced multimodal learning.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Diagnosing and re-learning for balanced multimodal learning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:27.979270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:25.602577Z digest=sha256:51cd3ea72d2de498f12f2448d2c390f5c7c83dd70da4d8e38672c56dd2bbe087

Observation a9bae4a8-d686-43d7-bb35-31a1417d66df · outbound

This paper cites an unresolved cited work.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Unresolved cited work

Reference 34

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:25.688411Z digest=sha256:186173bddc7fb7fd969735de2311b6b4210ee2d2bdb366c9ab19b3c08197aa11

Observation 1a3b309f-37d9-476f-b68c-ae2d1a87ea43 · outbound

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Mmcosine: Multi-modal cosine loss towards balanced audio-visual fine-grained learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:27.768250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:25.766512Z digest=sha256:58ef7b8cf3b3b5dd0aad8cf29a2d588039df47d72d6e96772aaee06b94178306

Observation 605b493c-a82f-42e1-90fd-fe0e7eb854fe · outbound

This paper cites Mcl: A contrastive learning method for multimodal data fusion in violence detection.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Mcl: A contrastive learning method for multimodal data fusion in violence detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:27.580294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:25.847513Z digest=sha256:a3342672f0a27a851babc8dc11ca80c3279aeb1acc8980ef0003f2569379cd24

Observation 1c9965ad-39f0-4d8c-ae8e-101dd49b6895 · outbound

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Multimodal Fusion on Low-quality Data: A Comprehensive Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:25.936570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:10:25.936570Z digest=sha256:6229b9fb925faa3616c6f84f73de0c64796e5bbc97e0a63e8eeb3390fc8b0ea5

Observation e1544be6-de22-4c7b-9047-00e9578606a1 · outbound

This paper cites Multimodal representation learning by alternating unimodal adaptation.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Multimodal representation learning by alternating unimodal adaptation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:27.355798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:26.028364Z digest=sha256:6a31e760384ac9b1196fe2b11b421694e29e7a6324a26ad22edc1dcc9d9cb6ea

Observation 0b6ee059-eb55-4e7d-81ed-512085d0e225 · outbound

This paper cites Adaptive mask co-optimization for modal dependence in multimodal learning.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Adaptive mask co-optimization for modal dependence in multimodal learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:27.048028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:26.117608Z digest=sha256:9c9458690cd9448898cf825d753e00f4a8c6987629e04bfc3f99beb0c62f3cc2

Observation af26b6f3-d4ed-4fa4-9486-f6282cc8deac · outbound

This paper cites Vision+ x: A survey on multimodal learning in the light of data.

Improving Multimodal Learning Balance and Sufficiency through Data Remixing Vision+ x: A survey on multimodal learning in the light of data

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:26.779388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T04:10:26.201549Z digest=sha256:735c9543166a52b578d1cc294c16dc43a00a87393ef4bc175c9d94c481fe8258

Pith citing papers

No inbound Pith citation observations are available.