Paper Citation Record · LEDGER

Structured Pruning of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1910.04732.

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

pith.paper-citation-record.v1
1910.04732 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:37:39.485481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:28:39.191613Z

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 0da91d8c-8b8e-4734-b2db-729bb24da655 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Structured Pruning of Large Language Models

Reference 266

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.193800Z

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 faed12e6-880d-4a75-9f5a-8bbbb02903de · inbound

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense cites this paper.

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense Structured Pruning of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T17:37:39.485481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98387921-dfc8-4f5b-9c4f-a28fd10d8c91 · inbound

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models cites this paper.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Structured Pruning of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T17:49:20.057508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a6f313-2778-4626-8777-50a3549b9956 · inbound

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer cites this paper.

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer Structured Pruning of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:17.966846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2225caf-fd1a-4178-87cd-6584f16fc14f · inbound

Pruning General Large Language Models into Customized Expert Models cites this paper.

Pruning General Large Language Models into Customized Expert Models Structured Pruning of Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:16.117972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 467e8493-f8ec-4550-b95f-021b981257c9 · inbound

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity cites this paper.

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Structured Pruning of Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:22.539186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5582c5c-dcae-4d72-8da3-fccbca0da466 · inbound

Structured Pruning for Diverse Best-of-N Reasoning Optimization cites this paper.

Structured Pruning for Diverse Best-of-N Reasoning Optimization Structured Pruning of Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:23.691771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6e4671-084b-42e3-9d4a-dfe86d20a2a3 · inbound

Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs cites this paper.

Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs Structured Pruning of Large Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:53:04.189813Z

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 56750787-23b1-4f20-ac50-1978e5d8b352 · inbound

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning cites this paper.

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning Structured Pruning of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:16.295606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2629489e-4475-4d8e-a6de-385e4ec79920 · inbound

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks cites this paper.

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks Structured Pruning of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T14:11:13.161086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation defd09fd-8467-406a-ab72-ea2b0172003a · inbound

Delta-SVD: Efficient Compression for Personalized Text-to-Image Models cites this paper.

Delta-SVD: Efficient Compression for Personalized Text-to-Image Models Structured Pruning of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T17:14:00.390871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70c3e9d-7212-4852-bdf8-ce5ea47ef585 · inbound

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning cites this paper.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Structured Pruning of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:20:01.280806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.