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Paper Citation Record · LEDGER

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1809.00095.

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

pith.paper-citation-record.v1
1809.00095 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:07:19.293247Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:26:32.302383Z

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 300ddfab-6419-4b20-ad39-6d59e148d47b · inbound

Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations cites this paper.

Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T14:07:19.293247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:07:19.293247Z digest=sha256:37047ebb3ae7dd11a8bee9ca2c3da41d12cc57d3cd9fde4a293220081873a97b

Observation 8a416904-c95e-46ec-8bcd-7b13a759682b · inbound

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers cites this paper.

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T04:55:40.188754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:55:40.188754Z digest=sha256:ca4bb86633830079ebbd59849a6a350ff3e0c77593dc1de61ee419b80d4d2428

Observation 9f10d197-735c-4d83-975a-c8d98d14c17e · inbound

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories cites this paper.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:26:32.406636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T11:26:32.021320Z digest=sha256:c67895342098127636d1660726e0f1c4cdd3d89aff546c78d3099ef48a0b7c10