Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.02370.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:10:48.523642Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T01:17:44.565141Z
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 ec509a36-1e72-403a-aeef-4304643e73b7 · inbound
Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.
Deep Time Series Models: A Comprehensive Survey and Benchmark AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 215
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:05:51.500311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8c775820-f4e4-48be-8f25-9504e64e00ea · inbound
From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.
From Time Series Analysis to Question Answering: A Survey in the LLM Era AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:32:15.820701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 39d3efff-64b8-4895-9048-89647bd8081a · inbound
Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation cites this paper.
Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 198
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T13:58:21.408303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7e145c11-f5da-4b60-b5b4-a4e6c4c785ce · inbound
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 120
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T17:38:43.368825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb030ac2-2fc9-488a-b8d1-d97e671cfe36 · inbound
LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference cites this paper.
LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T16:35:10.198525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1f21f504-88c4-4e34-9f3e-032c5efd0315 · inbound
LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting cites this paper.
LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T01:17:44.589888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7633debe-4027-4901-8fa3-ffb98fb89ded · inbound
CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series cites this paper.
CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T14:52:42.813309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0295653-17f9-47c1-9192-7b15e5b39b77 · inbound
A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series cites this paper.
A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:06:49.079675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c3089ce-86e0-42cd-a616-6ee3ff1120f0 · inbound
Multi-Source Dynamic Graph Learning for Compound-Flood Forecasting in Managed Coastal Systems cites this paper.
Multi-Source Dynamic Graph Learning for Compound-Flood Forecasting in Managed Coastal Systems AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:10:48.523642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.