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Paper Citation Record · LEDGER

Fast Deep Learning for Automatic Modulation Classification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.05850.

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

pith.paper-citation-record.v1
1901.05850 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:09:11.971315Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:08:18.851605Z

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 5fb691ee-df35-403e-8d95-14b76542df1c · inbound

Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices cites this paper.

Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices Fast Deep Learning for Automatic Modulation Classification

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T01:08:18.926569Z

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.

source=pdf_text observed=2026-08-07T01:08:15.235435Z digest=sha256:4f6059f3ddd35f1b6d099a7f3e3894b49426300d7b62689c92344d18efa59430

Observation bd049a02-ab9d-4e5a-9bfd-e1c0e4a3536e · inbound

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications cites this paper.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Fast Deep Learning for Automatic Modulation Classification

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T01:09:11.971315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:09:11.971315Z digest=sha256:7a38855b738de703bb5b44887793e44e169924351e9cc338c265502335e6c763