Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1808.00278.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:03:09.780170Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
24
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 71750393-b69f-4073-b22c-aa7a0095a1ad · inbound
A Targeted Acceleration and Compression Framework for Low bit Neural Networks cites this paper.
A Targeted Acceleration and Compression Framework for Low bit Neural Networks Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T00:55:09.537095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 034b66ac-4ea0-460d-a8f6-242a821c4c0b · inbound
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:03:09.780170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69e4bb0a-9c9f-4373-83b3-67d4641fb934 · inbound
Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.
Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T19:33:20.086502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f03cdd1d-a7dd-4764-a7f7-4a03814b6c61 · inbound
Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.
Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T16:44:16.056685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa720c71-925f-4189-9839-78cf37173b73 · inbound
Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks cites this paper.
Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T05:13:06.516776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.