Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sequential Models in the Synthetic Data Vault
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.14406.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:29.265033Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T00:49:48.682493Z
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 91969efa-a091-4819-bf8c-a690498d3c2f · inbound
Generation of synthetic gait data: application to multiple sclerosis patients' gait patterns cites this paper.
Generation of synthetic gait data: application to multiple sclerosis patients' gait patterns Sequential Models in the Synthetic Data Vault
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:45:15.123731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 131c3f09-697f-4074-a2a6-eeb84ae3c503 · inbound
Resampling Methods that Generate Time Series Data to Enable Sensitivity and Model Analysis in Energy Modeling cites this paper.
Resampling Methods that Generate Time Series Data to Enable Sensitivity and Model Analysis in Energy Modeling Sequential Models in the Synthetic Data Vault
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:46:52.161478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4f31672-8151-40b6-8a36-b4f335775d64 · inbound
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection cites this paper.
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection Sequential Models in the Synthetic Data Vault
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:44:29.265033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6318da3c-ace6-4841-b845-0f04a21b34fd · inbound
Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models cites this paper.
Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models Sequential Models in the Synthetic Data Vault
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:49:48.683850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a06c0284-52e5-4b01-b8c4-56720f7debcf · inbound
Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data cites this paper.
Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data Sequential Models in the Synthetic Data Vault
Reference 33
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-01T22:52:41.419817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.