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Paper Citation Record · LEDGER

Convolutional neural networks with low-rank regularization

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:54:11.846452Z

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 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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:01a7b5f538b923e91ce263e1e67b7442fc4d6769b00b8e00c68160082b29a1f1

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.

source=pdf_text observed=2026-08-09T18:54:11.846452Z digest=sha256:bbc7bf09dc9d6d1b36f910bad3655d8f18d4f6479b8d76b5970b6148005f3dcc

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.

source=pdf_text observed=2026-08-05T11:12:14.538917Z digest=sha256:f0b4aab7396554705806b81a519607fc4579ac644eefef060c2b5d757977ec66

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T18:07:06.789489Z digest=sha256:2ceff50c75206f8563f8186c5350c1a5e1597eadd87eb25813b9f51f7403b1cb