Paper Citation Record · LEDGER

Convolutional neural networks with low-rank regularization

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1511.06067.

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

pith.paper-citation-record.v1
1511.06067 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:22.078212Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T19:43:23.570772Z

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 fb640d3a-7167-4464-bdbe-1463682d8ed2 · inbound

Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks cites this paper.

Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks Convolutional neural networks with low-rank regularization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-14T13:46:22.078212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fed6aa2-4611-4fc1-b318-1ca0a44f451f · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Convolutional neural networks with low-rank regularization

Reference 157

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T19:43:23.574904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2d88037-eff5-4b84-a76d-9d9cf8a35c2f · inbound

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression cites this paper.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Convolutional neural networks with low-rank regularization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T18:54:11.846452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a97ff65-fd58-4a9f-8bf7-0181aa02c7b5 · inbound

FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays cites this paper.

FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays Convolutional neural networks with low-rank regularization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:14.538917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb585410-6f79-4a2e-8440-b91ff0401127 · inbound

Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference cites this paper.

Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference Convolutional neural networks with low-rank regularization

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:30:56.875542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.