Paper Citation Record · LEDGER

Improving Multimodal Learning with Multi-Loss Gradient Modulation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.07930.

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

pith.paper-citation-record.v1
2405.07930 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:24.203659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:17:48.862825Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Improving Multimodal Learning Balance and Sufficiency through Data Remixing cites this paper.

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

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:24.203659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a360641-71cb-462f-9547-f3263a1cf138 · inbound

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks cites this paper.

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks Improving Multimodal Learning with Multi-Loss Gradient Modulation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:08:17.634721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02a9a587-51d3-4041-9f21-90808e9728af · inbound

Second-Order Multi-Level Variance Correction for Modality Competition in Multimodal Models cites this paper.

Second-Order Multi-Level Variance Correction for Modality Competition in Multimodal Models Improving Multimodal Learning with Multi-Loss Gradient Modulation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:03:39.544866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 61465331-41c7-4a37-862e-24cf33de7ea1 · inbound

Balancing Multimodal Learning through Label Space Reshaping cites this paper.

Balancing Multimodal Learning through Label Space Reshaping Improving Multimodal Learning with Multi-Loss Gradient Modulation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:24:55.705384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 336eb33c-2a42-4924-b3ce-87cc41affcee · inbound

SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning cites this paper.

SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning Improving Multimodal Learning with Multi-Loss Gradient Modulation

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:06.069578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bd3e469c-3da6-4c5d-8c70-8219739d0281 · inbound

Information-Theoretic Decomposition for Multimodal Interaction Learning cites this paper.

Information-Theoretic Decomposition for Multimodal Interaction Learning Improving Multimodal Learning with Multi-Loss Gradient Modulation

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:17:48.864269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a61b55ae-e328-4840-9ef0-1775c241a56e · inbound

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning cites this paper.

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning Improving Multimodal Learning with Multi-Loss Gradient Modulation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T14:51:02.375638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.