Paper Citation Record · LEDGER

DLP: Dynamic Layerwise Pruning in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 5 inbound Pith citation observations for arXiv:2505.23807.

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

pith.paper-citation-record.v1
2505.23807 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:18.841892Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:41:28.841625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.853228Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy1
unresolved17
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcfa16eb-1240-4621-87d8-9da20f31b597 · outbound

This paper cites an unresolved cited work.

DLP: Dynamic Layerwise Pruning in Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:16.819301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba49021a-2133-4585-a635-a82126d19c28 · outbound

This paper cites Chiang, W.-L., Li, Z., Lin, Z., Sheng, Y ., Wu, Z., Zhang, H., Zheng, L., Zhuang, S., Zhuang, Y ., Gonzalez, J.

DLP: Dynamic Layerwise Pruning in Large Language Models Chiang, W.-L., Li, Z., Lin, Z., Sheng, Y ., Wu, Z., Zhang, H., Zheng, L., Zhuang, S., Zhuang, Y ., Gonzalez, J

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:16.897840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3005eb77-050b-427e-8a55-0aaa6172085e · outbound

This paper cites The Llama 3 Herd of Models.

DLP: Dynamic Layerwise Pruning in Large Language Models The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.011462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7978c4a-400e-4969-a0b5-4a61f41d550f · outbound

This paper cites The Llama 3 Herd of Models.

DLP: Dynamic Layerwise Pruning in Large Language Models The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.130176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f806f274-382b-4650-88c7-eb6b5c29eb11 · outbound

This paper cites Not All Layers of LLMs Are Necessary During Inference.

DLP: Dynamic Layerwise Pruning in Large Language Models Not All Layers of LLMs Are Necessary During Inference

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.229319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a30ad4-3fac-4dbe-9a1e-110bb598dee7 · outbound

This paper cites Mistral 7B.

DLP: Dynamic Layerwise Pruning in Large Language Models Mistral 7B

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.549184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d4dad0-dc46-4680-82f4-a7c3152bd126 · outbound

This paper cites Mistral 7B.

DLP: Dynamic Layerwise Pruning in Large Language Models Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.643903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e251b38-fbea-4c62-b83b-dec0611946c0 · outbound

This paper cites Sparse Fine-tuning for Inference Acceleration of Large Language Models.

DLP: Dynamic Layerwise Pruning in Large Language Models Sparse Fine-tuning for Inference Acceleration of Large Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:51:19.154402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0594819d-9ba6-4134-94da-e66fbe7ffcbc · outbound

This paper cites MaLei at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation.

DLP: Dynamic Layerwise Pruning in Large Language Models MaLei at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.864753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4e342b-8fc9-45a4-af33-6eb3549365d5 · outbound

This paper cites MaLei at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation.

DLP: Dynamic Layerwise Pruning in Large Language Models MaLei at the PLABA Track of TREC 2024: RoBERTa for Term Replacement -- LLaMA3.1 and GPT-4o for Complete Abstract Adaptation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.990740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53fe0df1-233b-4a64-9f0a-36a8353e7885 · outbound

This paper cites GPT-4 Technical Report.

DLP: Dynamic Layerwise Pruning in Large Language Models GPT-4 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:18.087996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a8734c0-d11b-4bff-8986-d0d9cf74c830 · outbound

This paper cites Yin, L., Wu, Y ., Zhang, Z., Hsieh, C., Wang, Y ., Jia, Y ., Li, G., Jaiswal, A.

DLP: Dynamic Layerwise Pruning in Large Language Models Yin, L., Wu, Y ., Zhang, Z., Hsieh, C., Wang, Y ., Jia, Y ., Li, G., Jaiswal, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:20.416964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc1eccb3-8267-4639-8ad7-c79b6ce815ef · outbound

This paper cites URL https: //doi.org/10.1109/TCYB.2021.3124284.

DLP: Dynamic Layerwise Pruning in Large Language Models URL https: //doi.org/10.1109/TCYB.2021.3124284

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:18.581004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ee1cd4-fa3f-4609-a4a3-b49aa1665771 · outbound

This paper cites This is likely because such an approach creates significant sparsity discrepancies between blocks, potentially disrupting inter-layer information flow.

DLP: Dynamic Layerwise Pruning in Large Language Models This is likely because such an approach creates significant sparsity discrepancies between blocks, potentially disrupting inter-layer information flow

Reference 31

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:51:19.810430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca10906a-5d7b-4e1c-a9e8-1f7b5eb56a31 · outbound

This paper cites 13 DLP: Dynamic Layerwise Pruning in Large Language Models A.

DLP: Dynamic Layerwise Pruning in Large Language Models 13 DLP: Dynamic Layerwise Pruning in Large Language Models A

Reference 2018

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:51:20.234206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a73e8638-a105-4b6b-a02e-9d8482454376 · outbound

This paper cites URL https:// doi.org/10.18653/v1/p19-1472.

DLP: Dynamic Layerwise Pruning in Large Language Models URL https:// doi.org/10.18653/v1/p19-1472

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:18.481193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293f27bb-39de-4eb7-8ee7-3c93f54df463 · outbound

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

DLP: Dynamic Layerwise Pruning in Large Language Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.458280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24413ff5-8a76-4c54-94b4-8da0e0de87c4 · outbound

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

DLP: Dynamic Layerwise Pruning in Large Language Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:17.351636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34fcf0e1-e5de-4062-b125-f622b2083517 · outbound

This paper cites Qwen Technical Report.

DLP: Dynamic Layerwise Pruning in Large Language Models Qwen Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:16.713194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0173b36-efd0-4599-b5c1-baf8a5b3f955 · outbound

This paper cites v34i05.6399.

DLP: Dynamic Layerwise Pruning in Large Language Models v34i05.6399

Reference 6399

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:18.284394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d62be1-044f-4e92-b117-0b2be4d86817 · outbound

This paper cites doi: 10.1609/AAAI.V34I05.

DLP: Dynamic Layerwise Pruning in Large Language Models doi: 10.1609/AAAI.V34I05

Reference 8740

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:18.210956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6365b885-bf8f-4178-acba-b61f195f88e5 · inbound

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation cites this paper.

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation DLP: Dynamic Layerwise Pruning in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:16:45.159255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f8d530-d2fc-4d83-910c-d9972f021ea3 · inbound

SimDiff: Depth Pruning via Similarity and Difference cites this paper.

SimDiff: Depth Pruning via Similarity and Difference DLP: Dynamic Layerwise Pruning in Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:22.196994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7fee7ae-aaba-41f0-8e30-13c94137820a · 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 DLP: Dynamic Layerwise Pruning in Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.854657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4b2da36-89eb-4063-ac0f-ab997de69602 · inbound

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? cites this paper.

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? DLP: Dynamic Layerwise Pruning in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T02:17:12.213712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3eb4117-dfb7-4d2c-add0-b5367a52c0d6 · inbound

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models cites this paper.

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models DLP: Dynamic Layerwise Pruning in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:41:28.841625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.