Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.13018.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:30.198470Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:52:26.344206Z
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 f7eab730-d9d3-4616-b8f8-93e5b8e4d0fd · inbound
Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization cites this paper.
Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:52:26.346441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c35b71e7-64cb-4d7c-9fe7-cb23a372826d · inbound
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge cites this paper.
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:27:30.198470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8d9de17-deea-419c-b02f-94afdbe1ec0f · inbound
Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI cites this paper.
Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:50:28.520146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 033fd98a-6f21-4a57-9159-6e46d7476a47 · inbound
AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling cites this paper.
AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:07:00.323688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2499a599-837b-437c-b8b3-c8f878df8995 · inbound
Speaker-Aware Temporal Aggregation Strategies on Segment Representations for Depression Detection in Dyadic Interaction: A Benchmark Study cites this paper.
Speaker-Aware Temporal Aggregation Strategies on Segment Representations for Depression Detection in Dyadic Interaction: A Benchmark Study EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:14:42.321767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.