Paper Citation Record · LEDGER

TriSP: Tri-Signal Structured Pruning for Large Language Models

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.22587.

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

pith.paper-citation-record.v1
2607.22587 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:54:05.123282Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b5e7ac6-f3a8-4520-b90c-a3066fcb1197 · outbound

This paper cites GPT-4 Technical Report.

TriSP: Tri-Signal Structured Pruning for Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:01.766723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b6c4cd-f280-456f-8620-02f7b98a26f0 · outbound

This paper cites Fluctuation-based adaptive structured pruning for large language models.

TriSP: Tri-Signal Structured Pruning for Large Language Models Fluctuation-based adaptive structured pruning for large language models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:01.882254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb204f09-06e3-4f19-9df7-ca6839198eaa · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30:I, 2017.

TriSP: Tri-Signal Structured Pruning for Large Language Models Attention is all you need.Advances in neural information processing systems, 30:I, 2017

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.048225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e61897-e9ef-477c-8dff-2ce0b860f459 · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

TriSP: Tri-Signal Structured Pruning for Large Language Models SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.154823Z

Source-reported events for the cited work

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Observation 994a8a46-dfc3-4578-9362-ee253356a919 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

TriSP: Tri-Signal Structured Pruning for Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.286286Z

Source-reported events for the cited work

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Observation dd577d87-aabf-433f-bc0b-56eab5cd6cc1 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

TriSP: Tri-Signal Structured Pruning for Large Language Models Piqa: Reasoning about physical commonsense in natural language

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.474396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71a92ec-9631-4634-b04e-baf2ed0974c9 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

TriSP: Tri-Signal Structured Pruning for Large Language Models Gonzalez, Ion Stoica, and Eric P

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.596990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22058747-a7ad-474c-be1e-6a5816bc9e59 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

TriSP: Tri-Signal Structured Pruning for Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.663262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800bed95-18b9-47ee-bf6a-4d5095d1c398 · outbound

This paper cites Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models.

TriSP: Tri-Signal Structured Pruning for Large Language Models Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.794737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c331e8c-ae4a-4d7a-9ff6-d6cb1153adf1 · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot.

TriSP: Tri-Signal Structured Pruning for Large Language Models Sparsegpt: Massive language models can be accurately pruned in one-shot

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.887772Z

Source-reported events for the cited work

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Observation c9eaed5c-151d-43a5-8349-bcb56c87c817 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

TriSP: Tri-Signal Structured Pruning for Large Language Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:02.954397Z

Source-reported events for the cited work

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Observation c2290a41-6126-4739-b948-4a8968882779 · outbound

This paper cites Second order derivatives for network pruning: Optimal brain surgeon.Advances in neural information processing systems, 5, 1992.

TriSP: Tri-Signal Structured Pruning for Large Language Models Second order derivatives for network pruning: Optimal brain surgeon.Advances in neural information processing systems, 5, 1992

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.058022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b70b660d-a95f-41a8-9b5e-96d6e164b936 · outbound

This paper cites Structured pruning for deep convolutional neural networks: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5):2900–2919, 2023.

TriSP: Tri-Signal Structured Pruning for Large Language Models Structured pruning for deep convolutional neural networks: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5):2900–2919, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.181829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73ff8746-a702-485f-8532-5bb2dbd6ce90 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

TriSP: Tri-Signal Structured Pruning for Large Language Models Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.216862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c9e92a0-685d-4211-9427-b8b93763abe1 · outbound

This paper cites Mistral 7B.

TriSP: Tri-Signal Structured Pruning for Large Language Models Mistral 7B

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.282404Z

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Observation f74a0bd0-cfec-4c59-8c1d-ef5e04a4058e · outbound

This paper cites Everybody prune now: Structured pruning of llms with only forward passes.arXiv preprint arXiv:2402.05406, 2024.

TriSP: Tri-Signal Structured Pruning for Large Language Models Everybody prune now: Structured pruning of llms with only forward passes.arXiv preprint arXiv:2402.05406, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.343131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f341017-b36d-4d01-8a17-7924c9ad5817 · outbound

This paper cites Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing.

TriSP: Tri-Signal Structured Pruning for Large Language Models Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.411984Z

Source-reported events for the cited work

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Observation 915df609-bf8f-41a6-a663-e87ee74b1417 · outbound

This paper cites Dynamic low-rank adaptation based pruning algorithm for large language models.

TriSP: Tri-Signal Structured Pruning for Large Language Models Dynamic low-rank adaptation based pruning algorithm for large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.506165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceb835d2-5c8f-4225-b5b4-8eddef7495d2 · outbound

This paper cites Slimgpt: Layer-wise structured pruning for large language models.Advances in Neural Information Processing Systems, 37:107112–107137, 2024.

TriSP: Tri-Signal Structured Pruning for Large Language Models Slimgpt: Layer-wise structured pruning for large language models.Advances in Neural Information Processing Systems, 37:107112–107137, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.606538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19d092a-e10f-43a7-8fe8-0a871c216968 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.

TriSP: Tri-Signal Structured Pruning for Large Language Models Llm-pruner: On the structural pruning of large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.676854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e34edb-59cc-45fd-bfe1-653bc77eacb5 · outbound

This paper cites Shortgpt: Layers in large language models are more redundant than you expect.

TriSP: Tri-Signal Structured Pruning for Large Language Models Shortgpt: Layers in large language models are more redundant than you expect

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.773411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f5a787-6410-4ac7-97fe-3f96bc7390bf · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

TriSP: Tri-Signal Structured Pruning for Large Language Models Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:03.865825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6814b892-1cef-413b-9927-ceed9139f702 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021.

TriSP: Tri-Signal Structured Pruning for Large Language Models Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.002038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a219b109-e3c4-4893-bd53-6ffa3c42ac60 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

TriSP: Tri-Signal Structured Pruning for Large Language Models A Simple and Effective Pruning Approach for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.123244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9e5ab1-676f-4208-af40-f9720c9c413b · outbound

This paper cites Alpaca: A strong, replicable instruction-following model.Stanford Center for Research on Foundation Models, 3(6):7, 2023.

TriSP: Tri-Signal Structured Pruning for Large Language Models Alpaca: A strong, replicable instruction-following model.Stanford Center for Research on Foundation Models, 3(6):7, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.197603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2e2b41-9cda-4dae-a14a-5c3759aff5c2 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

TriSP: Tri-Signal Structured Pruning for Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.324130Z

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Observation 12b3aa16-fc91-481c-bce0-8178d2e831bd · outbound

This paper cites uller, Jonas M. K.

TriSP: Tri-Signal Structured Pruning for Large Language Models uller, Jonas M. K

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.497920Z

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Observation baad5813-e503-417d-98a0-e2e166e4e9ab · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th annual meeting of the association for computational linguistics, pages 4791–4800, 2019.

TriSP: Tri-Signal Structured Pruning for Large Language Models Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th annual meeting of the association for computational linguistics, pages 4791–4800, 2019

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.683437Z

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Observation c70dcfe7-e64b-4dbc-8f8f-0714d913efe0 · outbound

This paper cites Loraprune: Structured pruning meets low-rank parameter-efficient fine-tuning.

TriSP: Tri-Signal Structured Pruning for Large Language Models Loraprune: Structured pruning meets low-rank parameter-efficient fine-tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.836568Z

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Unavailable: canonical work link unavailable.

Observation cbe6eed8-98a5-4eef-9f99-4f75736a85f7 · outbound

This paper cites Blockpruner: Fine-grained pruning for large language models.

TriSP: Tri-Signal Structured Pruning for Large Language Models Blockpruner: Fine-grained pruning for large language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:04.981542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ee47e0c-6629-4944-924f-841508e063c3 · outbound

This paper cites A survey on model compression for large language models.Transactions of the Association for Computational Linguistics, 12:1556–1577, 2024.

TriSP: Tri-Signal Structured Pruning for Large Language Models A survey on model compression for large language models.Transactions of the Association for Computational Linguistics, 12:1556–1577, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T11:54:05.123282Z

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Pith citing papers

No inbound Pith citation observations are available.