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Paper Citation Record · LEDGER

Image Classification at Supercomputer Scale

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1811.06992.

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

pith.paper-citation-record.v1
1811.06992 v2

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:54:57.727329Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T15:45:59.781021Z

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 c261ec9d-8934-4f8e-81bf-14c2870b3bf1 · inbound

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes cites this paper.

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Image Classification at Supercomputer Scale

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-21T21:39:00.057282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T21:38:59.970003Z digest=sha256:820ef7a64dc16972353792e48395bc2b5a683b71325d535c936c8a30cc778a40

Observation f15c943d-3e7a-4b1f-b579-e9c450c73745 · inbound

Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD cites this paper.

Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD Image Classification at Supercomputer Scale

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-25T15:45:59.784022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T15:41:27.232807Z digest=sha256:711929d39c523c5e72463a648d67e1228c6d20c3ab108bd4a80adf76979baa78

Observation 798f82ce-e6e1-4dcc-a57d-8f1958474c37 · inbound

SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference cites this paper.

SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference Image Classification at Supercomputer Scale

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T05:54:57.727329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:54:57.727329Z digest=sha256:d75c9ee3de0c181b51bfe07bc1decbf4f98b305d5dc9eafdc4c119a7368900ae

Observation 25595161-0fe5-43e3-8ab2-9c9e7d6627e0 · inbound

Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference cites this paper.

Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference Image Classification at Supercomputer Scale

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T21:11:39.348701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:11:39.348701Z digest=sha256:ff9a321ee6516b4f468c8d72983b957f1050ff35d1567e6ab3e291b380b73366