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Paper Citation Record · LEDGER

SignalTrain: Profiling Audio Compressors with Deep Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.11928.

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

pith.paper-citation-record.v1
1905.11928 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:32:40.519808Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:32:42.810636Z

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 b5acd618-37d9-4d1b-9f14-91cf031ee492 · inbound

WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling cites this paper.

WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling SignalTrain: Profiling Audio Compressors with Deep Neural Networks

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:32:42.815298Z

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=2026-08-06T17:32:40.519808Z digest=sha256:cf439e8698b7193d867ab18033094fd84f655cf7cb2603ad848bcc4e53f87a44

Observation c31ee0d5-4f28-4c95-aeff-100b75e96426 · inbound

Black-Box Optimization for Identifying and Inverting Audio Dynamic Range Control Effects cites this paper.

Black-Box Optimization for Identifying and Inverting Audio Dynamic Range Control Effects SignalTrain: Profiling Audio Compressors with Deep Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T12:11:48.132770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:11:48.132770Z digest=sha256:8b4d6ff52038ed5b5b4fb96b6890f39edcc15cbdbbe8e370005ee8ce43c14355