Paper Citation Record · LEDGER

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2506.12724.

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

pith.paper-citation-record.v1
2506.12724 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:47:50.404759Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

18 of 18 outbound references displayed

verified exact1
verified fuzzy8
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0963f86-4b0f-4522-ab6f-31c2a357a002 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.338627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63157067-04a8-4578-be86-a399723a710e · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.343150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8df1b59a-afa1-4117-8617-be392739b705 · outbound

This paper cites AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.347136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf80597-a52a-49c0-92c0-165faf9c3c61 · outbound

This paper cites Visual Instruction Tuning.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Visual Instruction Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.351305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a76260-dacd-4907-ab51-7bd2e730cf46 · outbound

This paper cites Learning transferable visual models from natural language supervision.ICML,.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Learning transferable visual models from natural language supervision.ICML,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.634602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a59e8b0-f24f-41d5-bd05-2840cc8bee1f · outbound

This paper cites Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.362206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed8536f1-1788-4ea7-ad09-fcb407202a97 · outbound

This paper cites Beyond dropout: Robust convolutional neural networks based on local feature masking.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Beyond dropout: Robust convolutional neural networks based on local feature masking

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.623042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6079d342-f93b-4f91-92a1-61c2daa5b5fd · outbound

This paper cites Adversarial Learning for Neural PDE Solvers with Sparse Data.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Adversarial Learning for Neural PDE Solvers with Sparse Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.370161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d7a74c-6298-4dd6-b5de-b9284b4c3f49 · outbound

This paper cites Cross-modality perturbation synergy attack for person re-identification.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Cross-modality perturbation synergy attack for person re-identification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.611560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3b4d717-b914-4da7-ac5f-9c12c7eae8c6 · outbound

This paper cites Person re- identification method based on color attack and joint de- fence.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Person re- identification method based on color attack and joint de- fence

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.598727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2fcab2e8-ab84-403d-a4aa-6467d3bd12f1 · outbound

This paper cites Exploring Color Invariance through Image-Level Ensemble Learning.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Exploring Color Invariance through Image-Level Ensemble Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.380630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d56c0bef-0640-4c1f-bead-306941044f4e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Gemini: A Family of Highly Capable Multimodal Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.384237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5ac239a-117d-4270-9e4d-9f27014e63a2 · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.587063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7d61dd35-6492-489b-87f5-e39c460889b4 · outbound

This paper cites Beyond augmentation: Empowering model robustness under extreme capture environments.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Beyond augmentation: Empowering model robustness under extreme capture environments

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.575020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aeb203be-5b92-4b0d-adf6-6b8b06c9f952 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.ICML, 2016.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Dropout as a bayesian approximation: Representing model uncertainty in deep learning.ICML, 2016

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.564612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 581db55a-9485-42fb-879b-bb5d41098147 · outbound

This paper cites Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:47:50.454735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17e635bc-41fa-40bc-b221-7dd05fda1496 · outbound

This paper cites Gshard: Scaling giant models with conditional computation and automatic shard- ing.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency Gshard: Scaling giant models with conditional computation and automatic shard- ing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:47:50.554704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b568bdd-c956-4ff0-8550-f4dff723ec8e · outbound

This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:50.404759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.