Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-supervised models of audio effectively explain human cortical responses to speech
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.14252.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:23:36.714064Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T11:40:03.505354Z
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 79d582a1-c93f-4270-ae4b-37b4f1f6ae84 · inbound
Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings cites this paper.
Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings Self-supervised models of audio effectively explain human cortical responses to speech
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:23:36.714064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84944811-2893-4c86-887d-68e8906ee7a7 · inbound
Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity cites this paper.
Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity Self-supervised models of audio effectively explain human cortical responses to speech
Reference 49
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-21T11:40:03.506855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.