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Paper Citation Record · LEDGER

Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.01895.

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

pith.paper-citation-record.v1
2503.01895 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:27:17.277310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:22:14.263344Z

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 b2be2ca1-97bb-4cfe-a4bd-5ba6d8e94fde · inbound

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs cites this paper.

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:22:14.267675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:20:56.057422Z digest=sha256:f4efd4a8c352ac8d5ea538bdb9228ea8d2229205669c5d87489e32689088f8d9

Observation 8ac2f18b-1a95-462b-81f9-ac113c6225d8 · inbound

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs cites this paper.

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:17.277310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:17.277310Z digest=sha256:d6d27c3009eb3a61ef11b03459f9bce5495819dfaddfd34e35ffc79544a8c2b2

Observation 3cd1358e-60cc-4a45-8ad8-f851e5095028 · inbound

TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning cites this paper.

TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:46.160500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:46.160500Z digest=sha256:f53a8bead273ff706a9b69e8e2fd4a9d803c166bca1e6750d7f7a41923234e28

Observation ab724e7f-96c5-49b2-b5a8-98f036aed4ca · inbound

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:31.501679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:31.501679Z digest=sha256:aa4052a5f77cda9e272a9c5d59cdd8b6716fdf77413a4cd4630860d082f892f0

Observation f6f0d036-7696-4d3c-b210-6d6175db4a8a · inbound

Optimal Self-Consistency for Efficient Reasoning with Large Language Models cites this paper.

Optimal Self-Consistency for Efficient Reasoning with Large Language Models Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T22:09:28.149960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:09:28.149960Z digest=sha256:8cc459bae6f9f18c442398683b56c380b7272062ccbc00320afbfd7024168034