Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scheduled Sampling for Transformers
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.07651.
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 2026-08-12T13:10:27.092089Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T13:10:27.272704Z
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 75e9d8f7-5583-4f2e-b1bd-02e21709a71f · inbound
VQ-SGen: A Vector Quantized Stroke Representation for Creative Sketch Generation cites this paper.
VQ-SGen: A Vector Quantized Stroke Representation for Creative Sketch Generation Scheduled Sampling for Transformers
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T13:10:27.278384Z
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.
Observation cb9ad77c-3f3f-4ac1-9d58-e7a6b01f49e8 · inbound
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Scheduled Sampling for Transformers
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:46:09.997003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3a80758-db37-467a-9047-6415e0be6407 · inbound
GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model cites this paper.
GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model Scheduled Sampling for Transformers
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:20:49.156957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.