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Paper Citation Record · LEDGER

Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2306.11025.

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

pith.paper-citation-record.v1
2306.11025 v1

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measured 0 of 0 reference resolution

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measured 31 of 31 standing notices

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

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:51.381060Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-02T23:17:29.022593Z

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Outbound references

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Pith citing papers

Observation a0858949-9909-48c2-af05-ee082b63ee3a · inbound

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data cites this paper.

LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 19

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Observation aaad8135-a316-4c92-96ed-22a176f916be · inbound

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting cites this paper.

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 35

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source=arxiv_source observed=2026-08-10T23:21:23.764856Z digest=sha256:1a336dc0f0a56b4b3bde74cdaa98fe9b40f8074828dd72cb5dc52aeb2cf55a1c

Observation a4486d49-5122-4dc8-ba61-d06248bd6e70 · inbound

Context information can be more important than reasoning for time series forecasting with a large language model cites this paper.

Context information can be more important than reasoning for time series forecasting with a large language model Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 11

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Observation ff64d697-e009-4290-b796-ec8bad04655c · inbound

TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model cites this paper.

TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 15

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source=pdf_text observed=2026-08-08T18:22:10.311028Z digest=sha256:c7957be039a536173b1221f47b279515a2a6c55e525fc882b7fc87db04607b71

Observation c2337bad-8657-421b-bd00-ef7aba3d5efd · inbound

Retrieval-augmented Large Language Models for Financial Time Series Forecasting cites this paper.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 23

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Observation 42c84b74-d846-47e9-a121-74c74b4dd05f · inbound

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network cites this paper.

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 21

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source=pdf_text observed=2026-08-16T11:09:51.381060Z digest=sha256:479abb50e0cb5c46ed1ace5d773c123cde0923e960c0f255e0aa21b1d54fdd75

Observation f6864dd3-53ee-44c4-852a-112c7cc4b3f3 · inbound

Multimodal Conditioned Diffusive Time Series Forecasting cites this paper.

Multimodal Conditioned Diffusive Time Series Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 62

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source=pdf_text observed=2026-08-16T05:51:10.592570Z digest=sha256:35d26fe6085727128fe750f0a106c510bfb7c7a3e8d4cbb4cc46e36f4b4e0fab

Observation c811979e-ca65-420d-97a3-22880d6c7485 · inbound

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models cites this paper.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 40

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source=pdf_text observed=2026-08-16T00:57:28.926133Z digest=sha256:db989b9ed4c229a6542bf9ba7e034fb351f0d5320f73ca283882f4bfa65894ce

Observation f2d4ecc9-4627-47c9-b343-351fcacee672 · inbound

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting cites this paper.

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 23

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source=arxiv_source observed=2026-08-15T21:26:50.938235Z digest=sha256:8a6788bbd37d90b778e655b3b13fe51630e2ef86867c5d82fec323f911647470

Observation f4ea6e4a-1b8c-4fdd-9516-146f7ec73849 · inbound

M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model cites this paper.

M2WLLM: Multi-Modal Multi-Task Ultra-Short-term Wind Power Prediction Algorithm Based on Large Language Model Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 33

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source=pdf_text observed=2026-08-07T12:06:59.740927Z digest=sha256:c9d15b2dc50929eee48b96f1fca94820abfe14804d4b2b609bd8aca8cf61f763

Observation 4f4a0c38-fe0c-403d-9268-d32617cf9e9a · inbound

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review cites this paper.

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 199

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source=pdf_text observed=2026-08-07T11:49:48.365942Z digest=sha256:6d52735ffff1d8ddf50d30c6866b0aa07ec563f3841984b8b6dfee8782c6c9f8

Observation 2334dc10-f27f-4747-8d66-2b915d69ccee · inbound

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains cites this paper.

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 46

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Observation 92643566-5096-44da-b5ed-f356ec7f88ca · inbound

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling cites this paper.

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 64

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Observation 0c877836-0d29-4c60-8506-41c525926e5d · inbound

DELPHYNE: A Pre-Trained Model for General and Financial Time Series cites this paper.

DELPHYNE: A Pre-Trained Model for General and Financial Time Series Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 65

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source=arxiv_source observed=2026-08-15T22:15:53.497148Z digest=sha256:82d30bc3462082fbc583f395b55276549764c0d26a02cb93d886e6685e23fb42

Observation 60ce54a7-d675-4b5f-ae57-021dfe903e64 · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 41

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Observation b4ad5ea3-e5b8-49ed-a88f-84779c2f317e · inbound

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI cites this paper.

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 66

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source=pdf_text observed=2026-08-07T01:02:18.416805Z digest=sha256:6b1c1b08c03f91303d29a4dd7ee9631ce0e8a0a243540d607e8ac5cecbbfb2fe

Observation 1305ccc2-b9c0-4261-aac9-4563522501c4 · inbound

Forecast-Then-Optimize Deep Learning Methods cites this paper.

Forecast-Then-Optimize Deep Learning Methods Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 29

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Observation c92b1f75-0204-41f2-8b25-38adcf944d88 · inbound

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation cites this paper.

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 20

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Observation 4a866a1a-2ebb-4b71-b40f-8f0fc3445046 · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 38

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Observation c6f8e752-9573-4f07-a8f9-b7a11554db65 · 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 Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 16

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Observation 6d23b671-12cb-41d4-a809-c2823b185b3f · inbound

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating cites this paper.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 57

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source=arxiv_source observed=2026-08-05T15:10:28.525513Z digest=sha256:c8dc839f950007ced824e1aa5c334444a5bd3e420aca215c0d214fd595a5175d

Observation fb803134-5866-44c5-aaa9-778e1102753f · inbound

BEDTime: A Unified Benchmark for Automatically Describing Time Series cites this paper.

BEDTime: A Unified Benchmark for Automatically Describing Time Series Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 18

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arxiv_id, observed 2026-05-18T18:56:46.031145Z

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Observation 9369c4ff-2048-44ee-b33e-2734c8d50477 · 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 Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 136

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source=arxiv_source observed=2026-08-04T16:49:34.939203Z digest=sha256:da50b1e2c7886b3afbbbbd90467fc8c844c832979d9174d595d12f6e21cbd28e

Observation 533a17ea-080c-4eef-baa4-7077e554f1e7 · inbound

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting cites this paper.

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 21

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Observation 6f4f5baf-e835-4b58-ab7d-d8f50e76faa3 · inbound

SMT-AD: a scalable quantum-inspired anomaly detection approach cites this paper.

SMT-AD: a scalable quantum-inspired anomaly detection approach Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 32

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source=pdf_text observed=2026-07-13T09:28:30.950169Z digest=sha256:91f88e258aeb33f8ebd611eb65862c08c8d0a03f4e457b584b5d242023bf62d1

Observation af7d10ff-f208-4a4c-9647-f42e50c491a6 · inbound

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models cites this paper.

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 32

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Observation 10c6563f-2460-443b-9b85-6d2f48fcf2e1 · inbound

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance cites this paper.

QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 61

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Observation 955a9fe4-c4c0-4486-9c05-2eeb7af025ae · inbound

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective cites this paper.

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 15

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arxiv_id, observed 2026-05-11T07:35:59.135640Z

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Observation 4da09af0-eefc-4017-8b20-665b4a5a984b · inbound

Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social Simulation cites this paper.

Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social Simulation Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 34

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arxiv_id, observed 2026-07-02T03:06:29.381365Z

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Observation 14c61fec-f13c-419a-beab-be64c18e6e30 · inbound

Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social Simulation cites this paper.

Think-Before-Speak: From Internal Evaluation to Public Expression in Multi-Agent Social Simulation Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 43

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arxiv_id, observed 2026-07-02T23:17:29.024019Z

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source=pdf_text observed=2026-07-02T23:10:03.733636Z digest=sha256:8cc1b10b7ab4933a937c3e73301ffa092ca06eba69868211ad5bfceb1530f546

Observation 3afe0a75-9a10-448f-89da-e7028b064efb · inbound

AI Trading: Evaluating Large Language Models for Technical Market Analysis cites this paper.

AI Trading: Evaluating Large Language Models for Technical Market Analysis Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 28

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