Paper Citation Record · LEDGER

Context is Key: A Benchmark for Forecasting with Essential Textual Information

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2410.18959.

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

pith.paper-citation-record.v1
2410.18959 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:23:12.200178Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:37:05.815691Z

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 6395259b-411b-4477-82b2-5624125cec34 · inbound

Food for thought: How can machine learning help better predict and understand changes in food prices? cites this paper.

Food for thought: How can machine learning help better predict and understand changes in food prices? Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T19:41:06.512116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6474d8fb-beb7-487b-869b-6a04601b8308 · inbound

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration cites this paper.

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T19:21:23.626665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245eb8ec-64d6-4338-8270-970ebd80ce67 · inbound

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data cites this paper.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.200178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36e715ba-d285-4937-8a62-85a3a8f4acf0 · inbound

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models cites this paper.

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:03.176203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd64c9d-894b-43e2-bad0-4a5f5b3b13b3 · inbound

FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis cites this paper.

FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:32:16.621802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc5ad54c-c612-4aad-8d77-c3afff9b8afc · 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 Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.947519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eacd3d10-922f-4e55-9c8f-205ebed68ed0 · 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 Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:22.191093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867347e4-c4ec-475a-8ec8-572818ffc281 · inbound

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting cites this paper.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:03.897233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7e68e4-1fa3-42b1-a951-d1a3b61cb132 · inbound

When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference cites this paper.

When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T12:12:58.691615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08b7e73-27dd-483b-9249-fa6f1b13d702 · 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 Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 117

Resolution: unresolved; no resolver link, observed 2026-08-04T16:49:34.878989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9133f494-52da-4cdc-9a5e-230813b208f9 · inbound

CaTS-Bench: Can Language Models Describe Time Series? cites this paper.

CaTS-Bench: Can Language Models Describe Time Series? Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:51:30.109824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09efe1ef-0eb7-433f-9c9c-7b56a6a13bd2 · inbound

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits cites this paper.

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:25:51.219256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33a01317-797a-4b77-9924-1d04df32d015 · inbound

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale cites this paper.

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:36:04.262359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0be0cbca-53d3-49a0-a0ff-4eea52bf87a7 · inbound

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics cites this paper.

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:26:27.643216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cecc1948-a0fa-4423-a44c-19078b885da3 · inbound

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations cites this paper.

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:37:05.817707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48b7ee55-3b5e-4b78-b9aa-d6c80d63d560 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 258

Resolution: unresolved; no resolver link, observed 2026-08-15T14:34:14.830751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.