Paper Citation Record · LEDGER

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.18271.

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

pith.paper-citation-record.v1
2607.18271 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:15:26.142027Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation da965b34-c1ee-4384-809b-18ca0a98852e · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:21.240202Z

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Observation 4f0deb66-7306-481e-a424-9417f11c0fef · outbound

This paper cites Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:21.493399Z

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Observation ad7ee2e6-699a-4216-b64f-ea6aaa96d214 · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series MAIRA-2: Grounded Radiology Report Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:21.643492Z

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Observation ee4d1f1f-563c-4a1b-8332-0fe5fca89d46 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 4

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Observation 6448f69e-48eb-4618-b704-3bf308ade17e · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

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This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

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Observation f9abfa67-1dac-4104-bef1-c27c471c63ca · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 7

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Observation 36b34cf0-a0ab-466a-b9c8-39c62ff213cb · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:21.938356Z

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Observation 4765ccae-494b-41b9-9754-a872d7a8e7e6 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 9

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Observation 86ab5ca8-0702-4abe-93eb-171ee27e5920 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 10

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Observation a76b453b-55b1-4075-8572-f7fbe5da9349 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 11

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Observation ef6ba98c-e077-4d8c-a88c-06685d33b384 · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series A Survey on In-context Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:22.719056Z

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Observation a880269f-19be-477a-8bcf-827deb0426a0 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:22.805103Z

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Observation 9cb77103-112e-4ea2-8856-a8b10f6f9591 · outbound

This paper cites The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Reference 14

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Observation cf774370-66ad-4e41-a481-7a81bbcb1dad · outbound

This paper cites A Survey on LLM-as-a-Judge.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series A Survey on LLM-as-a-Judge

Reference 15

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Observation ec23cbfc-604c-4454-b44d-22962c12ed68 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 16

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Observation 97eb0e04-4644-434a-95a7-190e8dc1bcc6 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:23.267728Z

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Observation b326ac31-d1f2-4ea4-9d69-cf0d1a1d9a13 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:23.352854Z

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Observation 9562ccf1-5ea4-47ac-80f6-1076b5b8387f · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series 2018.Forecasting: principles and practice

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:23.550541Z

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Observation 39180a01-8933-4531-baa6-a59d20abf4fd · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 20

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Observation 3e1da267-fce4-4f56-b467-fec08232e4db · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:23.468205Z

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Observation 93e356be-5507-4596-85b3-835fcd21d57f · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:23.777930Z

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Observation 9c08ade6-deab-4924-91bc-79fc4d6f66e8 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:23.863568Z

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Observation 07deba11-14d3-4578-9710-513a0c16492f · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 24

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Observation ab7485a5-4c72-4041-8490-7f750675396a · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 25

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Observation d4ea0e5c-67df-44cf-a94c-7a354cd5a396 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 26

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Observation 659fbaf3-8d83-4546-8c26-2b4c84e6e5cc · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 27

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Observation c9fc815b-8531-41ff-b387-69ca2df7f13a · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:24.304995Z

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Observation 6fdd39e5-693e-4429-b245-b151e34af687 · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:24.501118Z

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Observation 22c8b4e8-1935-4775-a355-88f3957ca592 · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 30

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Observation c08ef27e-7b22-417d-8483-232ccdf80938 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:24.752874Z

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Observation 744619f2-371b-4f99-9209-2ed182879b35 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 32

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Observation cb370504-3695-4f50-8f16-44c48d5bbc4b · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

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Observation 34327115-db9c-441c-b516-e489d9df7d28 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 34

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Observation 1d5c9227-09c2-4756-b2d5-931adac2db19 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 35

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Observation d01bf843-539d-4793-9d0a-5147a9d3ebbe · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:25.302751Z

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Observation 373c86ca-8dec-4b7b-8290-b966d0018de7 · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Cloze procedure

Reference 37

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series 2022.Unlocking the Power of Sentence Embeddings with all-MiniLM- L6-v2

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications

Reference 39

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Observation 386cc72d-29d7-40a4-beb6-1969b371af6f · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 40

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Observation d6df9581-edaf-44d5-9c65-8891c848ac69 · outbound

This paper cites an unresolved cited work.

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 41

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Observation e819a7c8-618b-4523-bd29-c94a6d32ff2c · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View

Reference 42

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series NeuralProphet: Explainable Forecasting at Scale

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Observation acc7d6ec-5bef-44ca-ac54-7a2b146cd0e1 · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Unresolved cited work

Reference 1990

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Observation 022499f8-0aaf-403d-8e5f-ab1747857e7f · outbound

This paper cites InProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).

Using LLMs for Explainable, Data-Driven Insight Generation from Time Series InProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Reference 2019

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Observation fa20d396-8309-4b0d-a0b6-80cf968cb606 · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Contrastive Chain-of-Thought Prompting

Reference 2023

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Observation f6af3073-3b70-4e5c-b747-b81fd41d3830 · outbound

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Using LLMs for Explainable, Data-Driven Insight Generation from Time Series Language Models Still Struggle to Zero-shot Reason about Time Series

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:24.388904Z

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Pith citing papers

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