Paper Citation Record · LEDGER

Large Language Models Are Zero-Shot Time Series Forecasters

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2310.07820.

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

pith.paper-citation-record.v1
2310.07820 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:28:56.545216Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

96
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9eca7a31-7f90-4028-89b6-07f393beccd5 · inbound

A decoder-only foundation model for time-series forecasting cites this paper.

A decoder-only foundation model for time-series forecasting Large Language Models Are Zero-Shot Time Series Forecasters

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:07:21.302342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe8f2739-20e5-4255-b14b-e4bc723b9628 · inbound

Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data cites this paper.

Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data Large Language Models Are Zero-Shot Time Series Forecasters

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T05:28:56.545216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbc3ceb-3260-48e1-ac4d-5fc31515dd5a · inbound

FD-LLM: Large Language Model for Fault Diagnosis of Machines cites this paper.

FD-LLM: Large Language Model for Fault Diagnosis of Machines Large Language Models Are Zero-Shot Time Series Forecasters

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:37:42.490812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009598a3-9e37-4029-9198-9c3940719866 · inbound

On the Feasibility of Vision-Language Models for Time-Series Classification cites this paper.

On the Feasibility of Vision-Language Models for Time-Series Classification Large Language Models Are Zero-Shot Time Series Forecasters

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:38:33.563075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa51f467-8cee-4f7c-b1be-d67f463874f3 · inbound

Sundial: A Family of Highly Capable Time Series Foundation Models cites this paper.

Sundial: A Family of Highly Capable Time Series Foundation Models Large Language Models Are Zero-Shot Time Series Forecasters

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.936997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd321e73-4f1f-4080-8a03-9e661eb963f0 · inbound

When can isotropy help adapt LLMs' next word prediction to numerical domains? cites this paper.

When can isotropy help adapt LLMs' next word prediction to numerical domains? Large Language Models Are Zero-Shot Time Series Forecasters

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:52.131991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33852a1f-d77d-4896-92bf-e865796d665b · inbound

Pre-trained Large Language Models Learn Hidden Markov Models In-context cites this paper.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Large Language Models Are Zero-Shot Time Series Forecasters

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.072366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49559f20-620e-4951-ab56-3f4fedd22644 · inbound

Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting cites this paper.

Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting Large Language Models Are Zero-Shot Time Series Forecasters

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:21.107088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95800d71-3d92-4e61-b920-663e3be75e09 · inbound

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services cites this paper.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services Large Language Models Are Zero-Shot Time Series Forecasters

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:21.994430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a198f5-e995-4204-9a0c-8d4b24194d55 · inbound

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection cites this paper.

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection Large Language Models Are Zero-Shot Time Series Forecasters

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:09.737982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f77947-5859-4a08-9a9c-8f13c5710a71 · inbound

Towards Interpretable Time Series Foundation Models cites this paper.

Towards Interpretable Time Series Foundation Models Large Language Models Are Zero-Shot Time Series Forecasters

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:44:41.205360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eef9b6c-687c-4806-a24e-24cf4e8a7a6e · inbound

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting cites this paper.

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting Large Language Models Are Zero-Shot Time Series Forecasters

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:04:11.158695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af40fdda-9971-4f3f-b41d-46b8b51bcc23 · inbound

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation cites this paper.

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation Large Language Models Are Zero-Shot Time Series Forecasters

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:13.336538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c91c24e3-7da2-4ad3-8dba-fb36140a85a8 · inbound

Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook cites this paper.

Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook Large Language Models Are Zero-Shot Time Series Forecasters

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T19:52:36.069699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b4e424-1b2b-4952-bc71-640ce8bcdb1d · inbound

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting cites this paper.

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting Large Language Models Are Zero-Shot Time Series Forecasters

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:22:49.121037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f6b06c2c-7043-436c-acbb-95ebd1afabc3 · inbound

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence cites this paper.

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence Large Language Models Are Zero-Shot Time Series Forecasters

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.148619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed3b0e3b-f28d-4f0e-a4a3-b5ec94a71e8c · inbound

Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load Forecasting cites this paper.

Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load Forecasting Large Language Models Are Zero-Shot Time Series Forecasters

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:49:55.472071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18798c5c-e9d4-47b2-bdce-9d0bbb3b8cbe · inbound

InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate cites this paper.

InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate Large Language Models Are Zero-Shot Time Series Forecasters

Reference 204

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:02:46.863787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d97c5add-ea34-4e54-bb95-57e9958dda52 · inbound

VESTA: Visual Exploration with Statistical Tool Agents cites this paper.

VESTA: Visual Exploration with Statistical Tool Agents Large Language Models Are Zero-Shot Time Series Forecasters

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:56:10.549224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dd3621bd-c892-41c1-b23a-81ecc9d483a4 · inbound

E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation cites this paper.

E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation Large Language Models Are Zero-Shot Time Series Forecasters

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.964584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b99300b-eafb-4096-9869-806cc0656891 · inbound

GITCO: Gated Inference-Time Context Optimization in TSFMs cites this paper.

GITCO: Gated Inference-Time Context Optimization in TSFMs Large Language Models Are Zero-Shot Time Series Forecasters

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:16:47.601913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3883009f-16f7-4685-9795-023e402c979c · inbound

ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience cites this paper.

ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience Large Language Models Are Zero-Shot Time Series Forecasters

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:38.490028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fced5b50-938c-42ca-bccb-7ecd02fe663c · inbound

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning cites this paper.

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning Large Language Models Are Zero-Shot Time Series Forecasters

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:58:02.658392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57a06e88-d101-4602-9b47-db538faf5cde · inbound

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting cites this paper.

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting Large Language Models Are Zero-Shot Time Series Forecasters

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-11T01:17:44.679191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.