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Paper Citation Record · LEDGER

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1903.10520.

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

pith.paper-citation-record.v1
1903.10520 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:14:42.181910Z

measured 0 of 1 external citation measurements

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 8f3af64b-83c9-49c6-aa87-06ae2138d28d · inbound

Deep BI-RADS Network for Improved Cancer Detection from Mammograms cites this paper.

Deep BI-RADS Network for Improved Cancer Detection from Mammograms Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T19:14:42.181910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:14:42.181910Z digest=sha256:0cf0dec4c881c8b1bc37759f5adca17d9c8d7f609f721763c546ac914c81e305

Observation cf11ed61-3988-459e-be39-e722082ec570 · inbound

The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification cites this paper.

The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T14:31:35.978531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:31:35.978531Z digest=sha256:1e6c77cafc11d765b9598ef3c246a0c4e94417b5f3f0296118ee0f56ba26214e

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.

source=pdf_text observed=2026-08-06T21:47:44.931478Z digest=sha256:0a39012a590adf02132ddeabfd204bb7d0564e2b4251206786c529ecd2654100

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.

source=pdf_text observed=2026-08-05T21:02:30.078180Z digest=sha256:00c4034662cb7664f6e3cf6720f925d2b34430ffa312e6c4d555f80b027eaff3

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.

source=pdf_text observed=2026-08-04T22:41:54.719204Z digest=sha256:ddcf4c0be4a78c465f3c5e65e977095b68d24819dc8724eb280c2d4f77b804eb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T17:44:44.438637Z digest=sha256:b5ba5d5f1a4080c6e4c017b510f7e031e76c945a2d8776fb9bb7f1066541155b

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T02:15:02.317724Z digest=sha256:1a46a874bec4bae49b7260efeb28eca0ddd5c6aaccdd37777c07a143db9e08de

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-25T20:05:09.179627Z digest=sha256:ed9a329015f4b183548b738657bc9bc1b83f309e597e63bb18641aecd3aaed71

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.

source=arxiv_source observed=2026-08-02T10:14:10.426003Z digest=sha256:49db7054d358276dec9704ae834722dbfff3f2bc651191f7c012e01971d74169

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T00:49:04.739588Z digest=sha256:038a4dd28278201439dad235e8c66832917408c6bb4d5b5b88c39b0361c2d554

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T05:46:12.378651Z digest=sha256:dcab82e325db274dbbe2be3d1472a7288a5b0cf5a51943cb4115217ebdc37983