Paper Citation Record · LEDGER

FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.02430.

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

pith.paper-citation-record.v1
2501.02430 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:40.718300Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:08:54.495181Z

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 e6c79f73-be97-4e43-a857-734909a72f9f · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:40.718300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d91cfad3-cda2-4078-8ccc-637e3f969956 · inbound

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models cites this paper.

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T13:18:05.021161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58080379-1f52-4cc7-a3f0-6b52841af56f · inbound

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs cites this paper.

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:04.363269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c2d84bb-3f76-40f8-b5f4-3034b9caed1c · inbound

LRCP: Low-Rank Compressibility Guided Visual Token Pruning for Efficient LVLMs cites this paper.

LRCP: Low-Rank Compressibility Guided Visual Token Pruning for Efficient LVLMs FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:54.497033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.