Paper Citation Record · LEDGER

Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2411.10803.

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

pith.paper-citation-record.v1
2411.10803 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:02.340523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.785860Z

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 9f142b27-cac9-4666-a592-a5452ab23db9 · 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 Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:02:17.821582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ba2346a-6f98-45c9-a41c-80c1c81e0659 · inbound

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models cites this paper.

Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:02.340523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b97be4f-8fef-4016-847b-682b060c615b · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:25.772527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731567cb-7de2-446a-b222-3b662f87a2da · inbound

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs cites this paper.

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:20:31.753984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762b43ab-b672-4b1b-b4ac-cbd32c5250f7 · inbound

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models cites this paper.

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:53.668156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c4a900-5f2d-47c0-821f-41283f54c042 · 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 Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:29.549834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0eca418-d976-4faa-adc6-75a5568b58d2 · 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 Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T13:18:03.452277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ddc02e1-1c64-435e-a3f3-29e50eaa25fb · inbound

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models cites this paper.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.987225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcff0bad-9c40-47ae-9458-c26b0d523365 · inbound

On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression cites this paper.

On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:10:16.490773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a264c7a1-7d9c-4008-99ed-4e807bc9dd5a · inbound

Grounding-Driven Attack: Improving Encoder-based Adversarial Transferability against Large Vision-Language Models cites this paper.

Grounding-Driven Attack: Improving Encoder-based Adversarial Transferability against Large Vision-Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T02:57:46.086957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04c2190-6cf4-4248-a223-772acb2fbd56 · inbound

Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models cites this paper.

Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:26:26.920542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d97cbca-ed4a-4607-b337-de37b2c26d8e · inbound

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

POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:04.436181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e536b025-dadf-432c-896c-4eeb897aa608 · inbound

EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling cites this paper.

EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.121922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e35a6860-e50e-4911-b3a9-e07247782165 · inbound

FastOCR: Dynamic Visual Fixation via KV Cache Pruning for Efficient Document Parsing cites this paper.

FastOCR: Dynamic Visual Fixation via KV Cache Pruning for Efficient Document Parsing Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:58:24.845055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2adc0b12-fb7d-4065-999e-67083037bda7 · inbound

Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference cites this paper.

Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model Inference Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:43:23.798277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5eaa3acb-9858-4fa4-8e60-b1bc9710040d · inbound

EarlyTom: Early Token Compression Completes Fast Video Understanding cites this paper.

EarlyTom: Early Token Compression Completes Fast Video Understanding Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.629708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b92e2ef-7f1f-4dde-83e9-3d2bcd497210 · inbound

PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding cites this paper.

PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.866979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c9a07ee-aa4e-4607-95e9-d6b945e612eb · 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 Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:28:04.147290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78b96a77-ebe3-4938-adc2-b267a4e911e4 · inbound

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference cites this paper.

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:09:53.787431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c222cc31-d96b-440e-80bd-170880e2e2bd · inbound

MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs cites this paper.

MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:15:44.621408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 13493d25-1882-4ac2-9c22-5251d778b29b · inbound

Attention-Free and Lightweight Token Reduction for Efficient Vision-Language Models cites this paper.

Attention-Free and Lightweight Token Reduction for Efficient Vision-Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T05:03:26.664752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cac17e1-2c7a-41fb-9ea6-fe26463ff5d8 · inbound

CRISP: Pre-LLM Yet Text-Driven Visual Token Pruning for Efficient LVLM Inference cites this paper.

CRISP: Pre-LLM Yet Text-Driven Visual Token Pruning for Efficient LVLM Inference Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T03:42:14.989028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d05624f-a8bc-480b-9d30-1829bd76b99e · inbound

SepPrune:A Separator-based Pruning Framework for Efficient Multimodal Large Language Models cites this paper.

SepPrune:A Separator-based Pruning Framework for Efficient Multimodal Large Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T01:26:50.559182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56ac6f38-9978-46a6-aff6-7293d6157dac · inbound

ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMs cites this paper.

ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMs Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T17:23:16.283827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8bd15c3-4ac0-4d71-9160-9ad85923ffd8 · inbound

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models cites this paper.

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T16:41:28.857602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.