Paper Citation Record · LEDGER

LaCo: Large Language Model Pruning via Layer Collapse

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2402.11187.

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

pith.paper-citation-record.v1
2402.11187 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:08:14.032835Z

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

0
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 4a039955-dfb5-49d8-adb2-f6367fb18e70 · inbound

MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models cites this paper.

MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models LaCo: Large Language Model Pruning via Layer Collapse

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:14.032835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcc5502e-2347-4934-90b6-4f3d81b1d427 · inbound

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs cites this paper.

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs LaCo: Large Language Model Pruning via Layer Collapse

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:49.976362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35df2db4-75ed-483a-ae24-6a93e9e56927 · inbound

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

Pruning General Large Language Models into Customized Expert Models LaCo: Large Language Model Pruning via Layer Collapse

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:16.420439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfdedba0-f9df-4cc3-a173-0be35f3f733e · inbound

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling cites this paper.

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling LaCo: Large Language Model Pruning via Layer Collapse

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:51.656370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c327d2-7bde-4178-9385-5a7a644ab2e4 · inbound

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching cites this paper.

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching LaCo: Large Language Model Pruning via Layer Collapse

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:53:07.541474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7e18f89-04d9-4a30-8945-0d2dbf833c18 · inbound

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

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning LaCo: Large Language Model Pruning via Layer Collapse

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:17.038644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddae4f8b-b218-4b77-85d3-392f032d56c3 · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression LaCo: Large Language Model Pruning via Layer Collapse

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T12:52:01.711194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7082a52-cd76-4e9e-82e6-ea9aafc42c68 · inbound

When Does Sparsity Mitigate the Curse of Depth in LLMs cites this paper.

When Does Sparsity Mitigate the Curse of Depth in LLMs LaCo: Large Language Model Pruning via Layer Collapse

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T20:29:33.439034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbcff9ad-ce7f-4c70-981a-e574f101ce7d · inbound

Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding cites this paper.

Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding LaCo: Large Language Model Pruning via Layer Collapse

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:01.354005Z

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 aecded9e-0b97-46d9-ad7e-e40efc647e51 · inbound

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions cites this paper.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions LaCo: Large Language Model Pruning via Layer Collapse

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:25:53.988810Z

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 603da301-cec3-4dcd-9070-1e3f38833556 · inbound

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training LaCo: Large Language Model Pruning via Layer Collapse

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:28.599350Z

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 721d472b-5bf5-4045-b942-61b1c5c1f1ea · inbound

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training LaCo: Large Language Model Pruning via Layer Collapse

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:23:51.233060Z

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 82413316-4722-48e2-a1b0-7ebef0153e18 · inbound

No Free Swap: Protocol-Dependent Layer Redundancy in Transformers cites this paper.

No Free Swap: Protocol-Dependent Layer Redundancy in Transformers LaCo: Large Language Model Pruning via Layer Collapse

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:33:43.490093Z

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 4fecc81b-6b25-4234-8603-fae5c24a0cc2 · inbound

Dense2MoE: Pushing the Pareto Frontier of On-Device LLMs via Unified Pruning and Upcycling cites this paper.

Dense2MoE: Pushing the Pareto Frontier of On-Device LLMs via Unified Pruning and Upcycling LaCo: Large Language Model Pruning via Layer Collapse

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:54.999948Z

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 0d70edae-8b26-4d19-96ea-4a78eda938f1 · inbound

CRePE: Convolution-aware Relative Importance in Post-training Pruning with Efficient Search cites this paper.

CRePE: Convolution-aware Relative Importance in Post-training Pruning with Efficient Search LaCo: Large Language Model Pruning via Layer Collapse

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:16.823216Z

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 389e01ea-07d4-4d83-9e1b-1e784b12a6bc · inbound

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs cites this paper.

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs LaCo: Large Language Model Pruning via Layer Collapse

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:36:57.331179Z

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 3f49b68f-c196-4f68-ac38-4f8622866702 · inbound

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

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry LaCo: Large Language Model Pruning via Layer Collapse

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-26T05:29:00.093113Z

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.