Paper Citation Record · LEDGER

LLM-Pruner: On the Structural Pruning of Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2305.11627.

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

pith.paper-citation-record.v1
2305.11627 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:43:27.575471Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

74
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 18b2373a-5818-4b45-b7d5-29e5e1dcfae5 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.374466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b7a9f93-8e13-4cb8-85c2-7aaa24cbf910 · inbound

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs cites this paper.

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:34:01.132821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c92e7249-6d5b-4c76-a9ae-2a1d8ec24ec9 · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 253

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:57:26.726551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be82160e-1b9e-475f-8e2a-c8d62c251047 · inbound

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation cites this paper.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:27.575471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab095ce-f06a-476b-bf6d-35a2bc12ecd0 · inbound

Mixture of Hidden-Dimensions Transformer cites this paper.

Mixture of Hidden-Dimensions Transformer LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:38:23.608435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 613b28e3-e9fe-4520-b166-668d6ed18bcb · inbound

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs cites this paper.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:13:23.573313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 198ebd0b-0b4e-4ada-9eee-3e0a300e03c1 · inbound

Lightweight Safety Classification Using Pruned Language Models cites this paper.

Lightweight Safety Classification Using Pruned Language Models LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:27.281244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e60199ea-8d5f-4fc7-8fe5-06043e3c6b3d · inbound

Lillama: Large Language Models Compression via Low-Rank Feature Distillation cites this paper.

Lillama: Large Language Models Compression via Low-Rank Feature Distillation LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:26:24.169507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3264ef0-12af-4944-bd63-fc8a211e6a81 · inbound

SlimGPT: Layer-wise Structured Pruning for Large Language Models cites this paper.

SlimGPT: Layer-wise Structured Pruning for Large Language Models LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:05:19.289198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f033fa26-fc77-46b0-8816-e1931ace5c39 · inbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.373566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1946240-4b6c-431b-82a3-0dbe2c06793c · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:38.241369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6e9b1d-0818-485e-b782-db74ee69e692 · inbound

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration cites this paper.

CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:21.943627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be6e0e3-43ae-4cf7-91b1-9025df43c6bd · inbound

Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones cites this paper.

Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:23.406830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20dea1d0-7f61-4bd7-9a72-5ed531dfa1aa · inbound

The Case for Instance-Optimized LLMs in OLAP Databases cites this paper.

The Case for Instance-Optimized LLMs in OLAP Databases LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:39:31.279688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e3d2b29-e9fa-4350-8b6a-64625e583a2e · inbound

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity cites this paper.

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.319815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 316e5680-4332-4071-952e-c9fd654e1171 · inbound

A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering cites this paper.

A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:17:30.339991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d54b24-6f97-4cc4-8a80-9fbb479816d7 · inbound

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression cites this paper.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T13:30:43.024746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b01fd41-63b5-46fd-b96a-276f6c95ef06 · inbound

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering cites this paper.

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:31:34.252943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c8c2d7-ed2a-4609-8bc0-4e1936135af8 · inbound

Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM cites this paper.

Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T11:24:20.613129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e41dd5c-4aa4-40b2-b200-12d63ee3e27c · inbound

A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs cites this paper.

A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:46.231928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ff751e-021a-4c1e-baab-3ebbd12ad3af · inbound

SecRL-Prune: Structured Reinforcement Learning-Based Pruning of CodeLLMs for Preserving Adversarial Code Mutation cites this paper.

SecRL-Prune: Structured Reinforcement Learning-Based Pruning of CodeLLMs for Preserving Adversarial Code Mutation LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:17:03.155117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6779bea9-088d-4b3e-a0b5-715bd7c9a87e · inbound

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry cites this paper.

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-26T05:29:00.089072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4b0301e-a34d-4b0b-9a68-95469e3bc857 · inbound

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.

When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:25:48.369109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8c91917d-19a6-404a-9aaf-7fe65b81cfc1 · inbound

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations cites this paper.

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T11:25:39.488624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.