Paper Citation Record · LEDGER

[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.05819.

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

pith.paper-citation-record.v1
2412.05819 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:08:09.626063Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:48:11.386460Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 0684c49d-fb94-46a0-b763-5b078f39c65b · inbound

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models cites this paper.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:09.626063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f56709-6ad3-47d4-80cb-9719785e5851 · inbound

LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs cites this paper.

LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:32.847260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf08dcb9-4566-433e-b52b-f72d9f749cab · inbound

Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding cites this paper.

Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T18:03:03.503424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0453dc7a-29bb-4b04-bbfe-a7ce4230f910 · inbound

Training-free Token Reduction for Vision Mamba cites this paper.

Training-free Token Reduction for Vision Mamba [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T16:16:49.428490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9cfad62-f673-4087-bdbf-bcec45303e3c · 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 [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T13:18:04.956498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e058a539-f6ac-4009-9e94-a32b58190d49 · inbound

Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs cites this paper.

Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:48:11.388264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5a48be8-1ce3-429a-aea9-64a04bc5560f · inbound

Geometry-Guided 3D Visual Token Pruning for Video-Language Models cites this paper.

Geometry-Guided 3D Visual Token Pruning for Video-Language Models [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:09.962866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0112050-4ed6-437b-a8bc-307ebd8fa627 · inbound

Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs cites this paper.

Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:44:48.407469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.