Paper Citation Record · LEDGER

Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2209.03430.

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

pith.paper-citation-record.v1
2209.03430 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:40.521348Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:26:00.069612Z

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 a18a3558-b526-4404-a362-657ea7b69717 · inbound

RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer cites this paper.

RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:40.521348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 918fadd6-df16-4a8c-b941-34f395c02c22 · inbound

Differential Attention for Multimodal Crisis Event Analysis cites this paper.

Differential Attention for Multimodal Crisis Event Analysis Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:16.768042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2809ff-fb03-4e27-9a7d-41830bbb6b52 · inbound

Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Scalable Decision Making cites this paper.

Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Scalable Decision Making Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:01:55.549050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c764899-eae0-4be5-b10b-2e5574ceb97f · inbound

A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving cites this paper.

A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:07.326992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d2d7b4-9316-418a-aac2-6439b461a975 · inbound

Purify-then-Align: Towards Robust Human Sensing under Modality Missing with Knowledge Distillation from Noisy Multimodal Teacher cites this paper.

Purify-then-Align: Towards Robust Human Sensing under Modality Missing with Knowledge Distillation from Noisy Multimodal Teacher Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:00:47.599567Z

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 53c37751-5ed7-4bd8-9da6-7b611c3ac983 · inbound

Sheaf-Laplacian Obstruction and Projection Hardness for Cross-Modal Compatibility on a Modality-Independent Site cites this paper.

Sheaf-Laplacian Obstruction and Projection Hardness for Cross-Modal Compatibility on a Modality-Independent Site Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:20:57.057403Z

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 be16b90d-0863-47b3-9d5f-93431e462842 · inbound

Sheaf-Laplacian Obstruction and Projection Hardness for Cross-Modal Compatibility on a Modality-Independent Site cites this paper.

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T16:44:58.453175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b342c2a-04a5-408f-90d6-0d75c54a7cf6 · inbound

CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations cites this paper.

CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:24:21.458662Z

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 58e69b21-bf48-463d-908f-2776d478e5a8 · inbound

CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations cites this paper.

CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T16:15:50.183197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57484a76-3e6a-4516-9b45-447bbb54e276 · inbound

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models cites this paper.

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.071019Z

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 36f4398e-f047-4103-a7e2-c90a4afd9e42 · inbound

Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention cites this paper.

Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T13:33:14.272789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.