Paper Citation Record · LEDGER

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.18356.

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

pith.paper-citation-record.v1
2310.18356 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:48:53.740780Z

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

4
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 2f74f622-dc6a-4bd4-a5c3-94f03261351b · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 178

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.151162Z

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 6e0ee9c7-a947-4b34-864f-107dcb7c7a2c · 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 LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-08T14:48:53.740780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6d34c4-c16c-4442-8c40-a88a941f5b71 · inbound

RAP: Runtime Adaptive Pruning for LLM Inference cites this paper.

RAP: Runtime Adaptive Pruning for LLM Inference LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:21:35.492380Z

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 a7d2da69-6a0a-4fbf-b499-16bc3ad5ee34 · inbound

SlimLLM: Accurate Structured Pruning for Large Language Models cites this paper.

SlimLLM: Accurate Structured Pruning for Large Language Models LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:18.984228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45c6e24-129e-4b22-a9bc-63c5ee47b8bc · inbound

Model Merging for Knowledge Editing cites this paper.

Model Merging for Knowledge Editing LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:49.788968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d74994-b7e5-449e-a920-06b4435db414 · 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 LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:02:14.482082Z

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 7b10f8df-b062-44a4-b9db-5e73b59e7c13 · inbound

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation cites this paper.

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:57.879086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a85f140-b305-493f-adfd-c4c1689af75b · inbound

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

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-26T05:29:00.079790Z

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.