Paper Citation Record · LEDGER

AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2402.02370.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.02370 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:47:03.298567Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-11T01:17:44.565141Z

Reference resolution

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External citation measurements

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Outbound references

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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 2026-08-22T06:32:14.747728+00:00.

Observation 8ba88bea-0918-4403-b5b0-ca7461f62789 · inbound

Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting cites this paper.

Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T14:01:09.397901Z

Source-reported events for the cited work

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Observation f640ce7d-092f-4918-86b5-c8784969d351 · inbound

LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting cites this paper.

LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:56:20.434275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c800da4b-2703-428b-8724-2a84115fd165 · inbound

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding cites this paper.

TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T20:48:12.804827Z

Source-reported events for the cited work

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Observation af7f9ef6-f04e-4ae5-a0f7-ad33e215bf6a · inbound

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data cites this paper.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.562302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39b54c1-8e6d-4a03-a176-7f36992316e8 · inbound

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model cites this paper.

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T20:03:07.396820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c682e2d0-fb40-49d7-b30e-6e66c40ef7d0 · inbound

Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning cites this paper.

Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:47:03.298567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1788445b-3b4a-4bd5-bd05-3c195910350d · inbound

Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts cites this paper.

Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:27:56.091982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9434aea-435f-4bd7-9d8d-8779b4a4c97e · inbound

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model cites this paper.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:25.826728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+00:00.

Observation 53fbd81d-7ec4-4c87-883c-7d80e3a00317 · inbound

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series cites this paper.

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:31.287029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aacc89a5-f6e3-4e5e-adac-90cc3a3a59ec · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:01.280307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293f5ea5-5d2b-44e0-93fe-532d96e02b4e · inbound

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling cites this paper.

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:04:45.844918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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

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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.