Paper Citation Record · LEDGER

PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.17530.

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

pith.paper-citation-record.v1
2305.17530 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:40:59.594437Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:22.099263Z

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 2437dd00-81ac-4b3f-b64e-533ae57a91c1 · inbound

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference cites this paper.

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:58:32.363405Z

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 c2cc6f93-3ff4-4c25-a630-e9e490d7563b · inbound

A Survey on Mamba Architecture for Vision Applications cites this paper.

A Survey on Mamba Architecture for Vision Applications PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T13:40:59.594437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84d369c-04f2-4233-bee2-acee828ac69c · inbound

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

Training-free Token Reduction for Vision Mamba PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:16:49.209222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6d1382d-a1cc-41f7-a280-c75c178b5e50 · inbound

FastVGGT: Training-Free Acceleration of Visual Geometry Transformer cites this paper.

FastVGGT: Training-Free Acceleration of Visual Geometry Transformer PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:36:06.918887Z

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 1b766aaf-74ab-4420-bcf2-da20279652d5 · inbound

Accelerating Vision Transformers with Adaptive Patch Sizes cites this paper.

Accelerating Vision Transformers with Adaptive Patch Sizes PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.457250Z

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 746515ec-b6ac-4b36-b86b-3f498ab4b12c · inbound

Selective LoRA for Visual Tokens and Attention Heads cites this paper.

Selective LoRA for Visual Tokens and Attention Heads PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:18:23.693969Z

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 8d94ad9c-c983-4730-a4e3-f4f66583d403 · inbound

Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies cites this paper.

Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:43:00.679014Z

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 5451c0bd-02b5-4667-a9ef-45d0cde960aa · inbound

Temporal Aware Pruning for Efficient Diffusion-based Video Generation cites this paper.

Temporal Aware Pruning for Efficient Diffusion-based Video Generation PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:13:16.395585Z

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 2fad2ed1-1040-40bb-9afb-b93c949fee7d · inbound

Temporal Aware Pruning for Efficient Diffusion-based Video Generation cites this paper.

Temporal Aware Pruning for Efficient Diffusion-based Video Generation PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:24:47.156420Z

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 d065d733-4955-4e39-9b81-9062f9a82329 · inbound

State Machine Guided Multi-Relational Synthetic Data from Logs for Anomaly Detection cites this paper.

State Machine Guided Multi-Relational Synthetic Data from Logs for Anomaly Detection PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:42:37.687954Z

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 2887f1e4-bb4c-4ed7-a3f7-6017f8d40248 · inbound

Fast Enough to Act: Spatio-Temporal Visual Token Merging for Low-Latency Robotic VLMs and VLAs cites this paper.

Fast Enough to Act: Spatio-Temporal Visual Token Merging for Low-Latency Robotic VLMs and VLAs PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:34:22.100839Z

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 9183615e-98c2-4696-83b1-0b1bdbca49c7 · inbound

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception cites this paper.

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

Reference 189

Resolution: unresolved; no resolver link, observed 2026-07-12T04:17:40.198357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.