Paper Citation Record · LEDGER

Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2206.01198.

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

pith.paper-citation-record.v1
2206.01198 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 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:22:17.548797Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:57:36.232874Z

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 b344b1a0-2f93-4d9c-a25c-9ba8614f0daf · inbound

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement cites this paper.

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T20:27:18.054852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a35a2dba-88bf-4d4c-9108-6cd63f24ed81 · inbound

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition cites this paper.

Designing Semi-Structured Pruning of Graph Convolutional Networks for Skeleton-based Recognition Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T14:37:06.628669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a01068-2488-45f7-aa7a-158b9df60c25 · inbound

Numerical Pruning for Efficient Autoregressive Models cites this paper.

Numerical Pruning for Efficient Autoregressive Models Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:27.147459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be5c6be-c4e3-4c46-acc9-99166cfde2dd · inbound

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition cites this paper.

Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T13:42:51.285314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3a825c3-0f9e-4ea2-ad81-4ff870b50837 · inbound

CoSeP: Complementary Separability Pruning via Class-Separability Clustering cites this paper.

CoSeP: Complementary Separability Pruning via Class-Separability Clustering Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:22:17.548797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f5d8d68-1c1f-4165-88b6-edc64b7301ef · inbound

Pruning Increases Orderedness in Recurrent Computation cites this paper.

Pruning Increases Orderedness in Recurrent Computation Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:57:36.289878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.