Paper Citation Record · LEDGER

Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.19628.

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

pith.paper-citation-record.v1
2411.19628 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:14.443529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:28:04.162152Z

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 8b26692e-6562-4150-969d-72e6e6bad9ad · inbound

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models cites this paper.

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:02:17.805853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 673f7275-980c-40d1-98c7-f3809026eda4 · inbound

ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling cites this paper.

ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.628462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e11b46e0-8a0b-400e-842e-a2919bcf1509 · inbound

Counting to Four is still a Chore for VLMs cites this paper.

Counting to Four is still a Chore for VLMs Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

Reference 21

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T10:06:03.284956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86468620-b557-4ddc-86e4-0b67b7a43ae4 · inbound

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models cites this paper.

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:28:04.163716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d859195-f4e4-4553-8e8e-ade08e6c65ee · inbound

Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation cites this paper.

Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T01:48:55.518589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289f2c93-275c-42ca-99dd-849180301cb3 · inbound

Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin cites this paper.

Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T04:30:14.443529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.