Paper Citation Record · LEDGER

ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.00447.

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

pith.paper-citation-record.v1
2412.00447 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:56.173290Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:13:59.795139Z

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 9934be60-afea-4477-a28c-c687066f5b28 · 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 ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:02:17.747172Z

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 fe73a043-70c3-4c6f-b31b-5245c3db6f91 · inbound

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning cites this paper.

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:56.173290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9f9108-cba8-4174-8c38-58b4ea014579 · inbound

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T12:55:40.366251Z

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 a93b1bf0-9723-4142-98da-f09977319f22 · 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 ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T22:24:35.188337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73c887e9-f33a-4fb4-8e9a-3a97ec191a32 · inbound

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers cites this paper.

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:18.362610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941a8a6c-ea1c-4128-b28b-4ff1bedf8ecb · inbound

MuCRASP: Multimodal Chain-of-thought Reasoning aware Structured Pruning cites this paper.

MuCRASP: Multimodal Chain-of-thought Reasoning aware Structured Pruning ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:13:59.796821Z

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.