Paper Citation Record · LEDGER

Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.06169.

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

pith.paper-citation-record.v1
2410.06169 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:11:47.631053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:02:17.737999Z

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 9fe4f246-6e6f-4a33-a99c-7c132b2b21eb · inbound

Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts cites this paper.

Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:51.844982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e68b2d4-546a-4dd0-8c91-07175928aee8 · inbound

AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning cites this paper.

AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T22:42:35.570387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15d8b9b0-f2f0-40a0-a0ee-27ca5b52ac8a · 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 Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:02:17.741875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 587c20a4-2cdb-4edc-a1be-098a234b51c7 · inbound

LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling cites this paper.

LOP: Learning Optimal Pruning for Efficient On-Demand MLLMs Scaling Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:11:47.631053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 342ec6a2-1905-450e-b7f2-2146ea7721b6 · 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 Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T13:18:06.117105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42a0d17-7f87-4a78-8598-5098a9b2a63e · inbound

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation cites this paper.

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T12:54:38.229729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c88f045b-b0bf-4adc-8807-714f44e7571d · inbound

Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning cites this paper.

Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:48:11.181219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0455d4c3-b8ee-4ffa-aa19-99096315cec7 · inbound

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

Counting to Four is still a Chore for VLMs Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:03.307146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d331525c-62db-428e-af46-17f1a622b9c0 · 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 Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.126917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.