Paper Citation Record · LEDGER

SepPrune: Structured Pruning for Efficient Deep Speech Separation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.12079.

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

pith.paper-citation-record.v1
2505.12079 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:05.581815Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:06:34.051162Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3e6dc251-eea9-49d5-8281-32332f1a2b18 · inbound

ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices cites this paper.

ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices SepPrune: Structured Pruning for Efficient Deep Speech Separation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:44:05.581815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0c9116-0d51-443a-8b20-1abde923527f · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers SepPrune: Structured Pruning for Efficient Deep Speech Separation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:04.290527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84004124-ab35-437e-9df4-96728f49904d · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture SepPrune: Structured Pruning for Efficient Deep Speech Separation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:14.885841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67fbccff-3515-48f2-a62c-8b650db8c896 · 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 SepPrune: Structured Pruning for Efficient Deep Speech Separation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T13:31:01.902086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa293aa-7d36-439d-9914-5050ee41b255 · inbound

DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models cites this paper.

DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models SepPrune: Structured Pruning for Efficient Deep Speech Separation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:06:34.055168Z

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 2f0d4bd9-5334-45a2-a885-147dd47d22ca · inbound

RAM: Recover Any 3D Human Motion in-the-Wild cites this paper.

RAM: Recover Any 3D Human Motion in-the-Wild SepPrune: Structured Pruning for Efficient Deep Speech Separation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:45:19.129030Z

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.