Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.02924.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:48:53.757177Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T09:02:14.446587Z
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 190f5ca2-4292-4134-be93-cc6086e7ec93 · inbound
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models cites this paper.
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:48:53.757177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3debba7-4a69-4d9f-840e-ed4314728916 · inbound
ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning cites this paper.
ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:23:36.317334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25088480-6b77-4779-a666-6d74713839d7 · inbound
MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs cites this paper.
MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:02:14.450120Z
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 5c20c156-e7f4-4329-816b-56e55fc1328a · inbound
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models cites this paper.
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:11:11.706409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05ddfbf7-3bf0-4f67-bb24-985e2069cbbc · inbound
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization cites this paper.
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:26:10.739772Z
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.