Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1903.10520.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:47:44.931478Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:30:07.793995Z
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 521d7c60-1198-411c-97dd-aae382d8f9ce · inbound
FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization cites this paper.
FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:47:44.931478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d47923ac-4b90-45e6-8d26-c59b80098e65 · inbound
Generation of Indian Sign Language Letters, Numbers, and Words cites this paper.
Generation of Indian Sign Language Letters, Numbers, and Words Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:02:30.078180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a2e23b2-f1fa-4c3f-b59e-b737b9c542aa · inbound
Breaking the Conventional Forward-Backward Tie in Neural Networks: Activation Functions cites this paper.
Breaking the Conventional Forward-Backward Tie in Neural Networks: Activation Functions Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:41:54.719204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 334cb2e1-6280-4a31-9dfc-11adcb15a98b · inbound
Demystifying Manifold Constraints in LLM Pre-training cites this paper.
Demystifying Manifold Constraints in LLM Pre-training Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:16:08.558335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 60f1f165-1e04-4fea-946c-36f82aa86f27 · inbound
PC Layer: Polynomial Weight Preconditioning for Improving LLM Pre-Training cites this paper.
PC Layer: Polynomial Weight Preconditioning for Improving LLM Pre-Training Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 79
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:16:57.351952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 53ede1ff-1216-4578-a074-2450e05848be · inbound
Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.
Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 132
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T20:30:07.795769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 06557e29-5a18-4c1b-9ae0-c879a58ed5b1 · inbound
Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.
Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:14:10.426003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a832694a-b246-4398-8333-592f0c1587a5 · inbound
SpikON: A Dual-Parallel and Efficient Accelerator for Online Spiking Neural Networks Learning cites this paper.
SpikON: A Dual-Parallel and Efficient Accelerator for Online Spiking Neural Networks Learning Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:55:12.066486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 45ec0948-7153-423a-ae89-d8d5b753387a · inbound
Intrinsically Stable Spiking Neural Networks: Overcoming the Performance Barrier in the Absence of Batch Normalization cites this paper.
Intrinsically Stable Spiking Neural Networks: Overcoming the Performance Barrier in the Absence of Batch Normalization Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:15:44.100191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.