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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:24:35.188337Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:58:57.819555Z digest=sha256:733af123f029c6417d337add0a082e28fbeb0ff5235e07bee2f0f03acd3ec7c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T12:55:40.245908Z digest=sha256:e2c6e71e7ac6c59e7ef9894a81bf2a5f4089ebf0aa44db4e65e7cc510bf53104

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.

source=pdf_text observed=2026-08-06T22:24:35.188337Z digest=sha256:3919491de9b0449f7771dab3bafb9ca537af79601b8619ab4b3f057568929fd8

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.

source=pdf_text observed=2026-08-06T10:55:18.362610Z digest=sha256:8fc6a8096a7798f9a5add6b94f71491d02967c49d8ebc2127993a8eb0bbe2bc5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T21:12:45.941244Z digest=sha256:2e73915624e40af67e32c4e2a433c73fccd0d46f39a3a1215f4a4315f3ac0560