Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.12316.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:06:14.334935Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T20:53:43.475684Z
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 07f87acd-e303-4a24-8f9e-025fe3d7a113 · inbound
Foundation Models for Clean Energy Forecasting: A Comprehensive Review cites this paper.
Foundation Models for Clean Energy Forecasting: A Comprehensive Review TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
Reference 202
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:06:14.334935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b19d3330-cd41-49a5-8f3b-247c04ebcd31 · inbound
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating cites this paper.
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:10:28.431920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 445af448-3aba-407b-838d-3889c3c67f0d · inbound
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors cites this paper.
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:53:43.477414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.