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Paper Citation Record · LEDGER

Interpretable Convolutional Filters with SincNet

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.09725.

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

pith.paper-citation-record.v1
1811.09725 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:35.235609Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T05:46:50.409306Z

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 5901c310-614f-4846-97eb-2e9b58fd4339 · inbound

Acoustic Classification of Maritime Vessels using Learnable Filterbanks cites this paper.

Acoustic Classification of Maritime Vessels using Learnable Filterbanks Interpretable Convolutional Filters with SincNet

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:35.235609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:35.235609Z digest=sha256:25f3ea1156e3c3fa45ca7df25c07c4c212031b53648161ea89780a7a1ef0769c

Observation e539545f-bd73-440f-b909-ac5a22f02a2b · inbound

Structural Bottlenecks on Frequency Representation in End-to-End Audio Models cites this paper.

Structural Bottlenecks on Frequency Representation in End-to-End Audio Models Interpretable Convolutional Filters with SincNet

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-10T05:46:50.410516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T05:37:12.972599Z digest=sha256:2c15a79d462297a457bdc1cd64de1c25094bd65e37f3e1b0e1d93eaa5e72d199