Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2508.03937.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:39.050666Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T16:37:58.808519Z
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 ce6bbf85-357e-401c-8469-e5d6819b7d53 · inbound
Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications cites this paper.
Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:52:39.050666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c4dd716-597c-4c50-9bf0-7123d5da3838 · inbound
A Comparative Study of Controllability, Explainability, and Performance in Dysfluency Detection Models cites this paper.
A Comparative Study of Controllability, Explainability, and Performance in Dysfluency Detection Models LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:37:58.904197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6fab458a-3d21-45c4-9b3e-731303dd4d5f · inbound
AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues cites this paper.
AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues LCS-CTC: Leveraging Soft Alignments to Enhance Phonetic Transcription Robustness
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:06:49.960449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.