Paper Citation Record · LEDGER

Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.02924.

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

pith.paper-citation-record.v1
2406.02924 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:59:21.853686Z

measured 0 of 1 external citation measurements

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 a036a4c6-ce32-4973-ae07-3f5a0f6a67ab · inbound

FASP: Fast and Accurate Structured Pruning of Large Language Models cites this paper.

FASP: Fast and Accurate Structured Pruning of Large Language Models Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.357955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 32bccd7b-cc3a-4321-be56-aa16c765c06d · inbound

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods cites this paper.

SPAP: Structured Pruning via Alternating Optimization and Penalty Methods Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:59:21.853686Z

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.