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Paper Citation Record · LEDGER

Hyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio Effect Modeling

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2408.04829.

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

pith.paper-citation-record.v1
2408.04829 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:41:40.099676Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:41:41.100776Z

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 f457d5eb-84ba-476e-9f05-50de41b7059e · inbound

Parametric Neural Amp Modeling with Active Learning cites this paper.

Parametric Neural Amp Modeling with Active Learning Hyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio Effect Modeling

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:41:41.229714Z

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=2026-08-06T20:41:40.099676Z digest=sha256:b8ffd7680eadfa13de0f28b57faa7503cdfd21fd5ae98442de65d14366af260a