Paper Citation Record · LEDGER

RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.06463.

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

pith.paper-citation-record.v1
2411.06463 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:59:45.367940Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:46:11.080379Z

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 f9412ea4-dfad-4026-94e1-3c5b6d4b6dbb · inbound

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning cites this paper.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:45.367940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c017dfb-3f69-4f08-90ca-fae28ecfb380 · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T20:49:36.776845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b453c19-8848-4468-a355-832a513701bf · inbound

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation cites this paper.

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:34:07.240185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e75a7533-c5b0-4c19-bfc1-464064ce8080 · inbound

Before Parc Ferm\'e: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving cites this paper.

Before Parc Ferm\'e: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:11.081688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.