Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-Pruner: On the Structural Pruning of Large Language Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.11627.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:24:20.613129Z
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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.
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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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.