Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Speech Model Pre-training for End-to-End Spoken Language Understanding
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1904.03670.
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 2026-08-03T08:50:37.709583Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T15:47:23.273387Z
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 9107ecd9-b34d-4846-b3be-055b6f96949a · inbound
findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding cites this paper.
findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding Speech Model Pre-training for End-to-End Spoken Language Understanding
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T17:37:12.659819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b66e635a-b0a0-4956-a1ae-7a1e5a142bb2 · inbound
WQ-Fusion: Dynamic Gated Attention for Cross-Domain Audio Representation cites this paper.
WQ-Fusion: Dynamic Gated Attention for Cross-Domain Audio Representation Speech Model Pre-training for End-to-End Spoken Language Understanding
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T14:39:57.212554Z
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 741fbe33-76d3-4287-8649-b56b6537444b · inbound
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks Speech Model Pre-training for End-to-End Spoken Language Understanding
Reference 249
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T15:47:23.274542Z
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 c69cc7ce-597c-4dab-8348-63faafe4144f · inbound
VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment cites this paper.
VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment Speech Model Pre-training for End-to-End Spoken Language Understanding
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:19:07.656877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f248c76e-2494-4794-a3f7-03a9e0cb401f · inbound
Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning cites this paper.
Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning Speech Model Pre-training for End-to-End Spoken Language Understanding
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:50:37.709583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.