Paper Citation Record · LEDGER

Optimal Brain Connection: Towards Efficient Structural Pruning

As of 18 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 3 inbound Pith citation observations for arXiv:2508.05521.

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

pith.paper-citation-record.v1
2508.05521 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:21:05.137400Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:20:35.301750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:16:13.472439Z

Reference resolution

7 of 7 outbound references displayed

verified exact1
verified fuzzy4
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57db514d-9935-4616-9fe4-7a4458b388ab · outbound

This paper cites Efficient Model Compression Techniques with FishLeg.

Optimal Brain Connection: Towards Efficient Structural Pruning Efficient Model Compression Techniques with FishLeg

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:21:05.181004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b103578-7827-48a6-8bfa-0da939c5b09b · outbound

This paper cites In International Conference on Learn- ing Representations (ICLR).

Optimal Brain Connection: Towards Efficient Structural Pruning In International Conference on Learn- ing Representations (ICLR)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:21:05.207309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7eed9fa-63ba-4dc1-9b60-0b008f7cad8c · outbound

This paper cites In Interna- tional Conference on Learning Representations (ICLR).

Optimal Brain Connection: Towards Efficient Structural Pruning In Interna- tional Conference on Learning Representations (ICLR)

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:21:05.229516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eecc48b6-65a1-4bca-a5bd-1f63bee20439 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11264–11272.

Optimal Brain Connection: Towards Efficient Structural Pruning In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11264–11272

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:21:05.218565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b0d9e98-3401-4c7d-9e52-0c0bddc13c94 · outbound

This paper cites AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning.

Optimal Brain Connection: Towards Efficient Structural Pruning AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:21:05.196468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7005d2b-a469-4688-ae5d-4e9874fbe105 · outbound

This paper cites CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction.

Optimal Brain Connection: Towards Efficient Structural Pruning CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T23:21:05.137400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 324cb08c-bb94-4c12-9c86-bc032e6082e2 · outbound

This paper cites In Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR), 3666–3675.

Optimal Brain Connection: Towards Efficient Structural Pruning In Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR), 3666–3675

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:21:05.240145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation a7ae27e2-0a2e-4ea0-855f-ce6401300412 · inbound

Adaptive Parallel Downloader for Large Genomic Datasets cites this paper.

Adaptive Parallel Downloader for Large Genomic Datasets Optimal Brain Connection: Towards Efficient Structural Pruning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:20:35.301750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c668b1-0e5c-47c4-bc8d-1c8c9253ac5d · inbound

STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing cites this paper.

STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing Optimal Brain Connection: Towards Efficient Structural Pruning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:16:13.474159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f5bcfc5-a5df-4338-8f7f-cf039e3719ae · inbound

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning cites this paper.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Optimal Brain Connection: Towards Efficient Structural Pruning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T17:41:43.172076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.