Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:16.632885Z
Paper Citation Record · LEDGER
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
As of 18 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 3 inbound Pith citation observations for arXiv:2506.00807.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:49:34.980153Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T01:58:51.516210Z
Reference resolution
82 of 82 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 02d533e4-5784-4fef-b65b-c7a1018ded87 · outbound
This paper cites Medformer: A multi-granularity patching transformer for medical time-series classification.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Medformer: A multi-granularity patching transformer for medical time-series classification
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7974147-cbe4-4f2b-afea-03cbd2c85bb5 · outbound
This paper cites Semi-supervised contrastive learning for time series classification in healthcare.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Semi-supervised contrastive learning for time series classification in healthcare
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b48845c-418b-469f-92db-9b0045b2c318 · outbound
This paper cites A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 4cdc84d6-a024-4ba4-8df1-ff8226ad17aa · outbound
This paper cites Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 899c1248-2f4b-40d8-9c3a-956d49f43445 · outbound
This paper cites Clustering and classification of time series using topological data analysis with applications to finance.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Clustering and classification of time series using topological data analysis with applications to finance
Reference 5
- Resolution
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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 861f2bb4-7422-4791-a11d-3d9748a81dfc · outbound
This paper cites V oice2series: Reprogramming acoustic models for time series classification.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision V oice2series: Reprogramming acoustic models for time series classification
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation d77b0782-33d6-4e85-ab7f-fe2ca8677eaf · outbound
This paper cites Approaches and applications of early classification of time series: A review.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Approaches and applications of early classification of time series: A review
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation 02c1c761-54e9-4c64-9ee3-cd183a2c2973 · outbound
This paper cites A systematic review of time series classification techniques used in biomedical applications.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision A systematic review of time series classification techniques used in biomedical applications
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 5acb9146-e6dc-41bf-89a2-78851de630f5 · outbound
This paper cites GPT-4o System Card.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision GPT-4o System Card
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 4f5edf61-37b4-4be2-8c27-d0c4a78b5c80 · outbound
This paper cites GPT-4 Technical Report.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision GPT-4 Technical Report
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52b1da5e-1dbc-4773-99f3-ed05ea35ae8a · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8bc9468-10ed-4569-8f94-22feecbe188d · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Gemini: A Family of Highly Capable Multimodal Models
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6896a65-efab-40aa-88e5-9e24d7430936 · outbound
This paper cites Gemma: Open Models Based on Gemini Research and Technology.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Gemma: Open Models Based on Gemini Research and Technology
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c52fa68d-9ac4-42d6-b0c2-8cb8e7756b60 · outbound
This paper cites Conformalized time series with semantic features.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Conformalized time series with semantic features
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 6b24dea4-e904-4820-aa0d-c23ce75cebd9 · outbound
This paper cites Parsimony or capability? decomposition delivers both in long-term time series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Parsimony or capability? decomposition delivers both in long-term time series forecasting
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 9dd6286b-476d-42ad-b3b4-91f6c07d3a41 · outbound
This paper cites Large pre-trained time series models for cross- domain time series analysis tasks.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Large pre-trained time series models for cross- domain time series analysis tasks
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation d20ad1d2-72eb-47aa-a590-9691bfe93cfa · outbound
This paper cites Autotimes: Autoregressive time series forecasters via large language models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Autotimes: Autoregressive time series forecasters via large language models
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 5d96b765-f709-4916-9eab-13acf4e79f40 · outbound
This paper cites Time-ffm: Towards lm- empowered federated foundation model for time series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Time-ffm: Towards lm- empowered federated foundation model for time series forecasting
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation fc0b83a2-d505-42fe-9853-d9de252c5e1b · outbound
This paper cites Tiny time mixers (ttms): Fast pre-trained models for enhanced zero/few-shot forecasting of multivariate time series.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Tiny time mixers (ttms): Fast pre-trained models for enhanced zero/few-shot forecasting of multivariate time series
Reference 19
- Resolution
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Observation d8e50de2-0fcf-430f-86f2-b21a60d6250c · outbound
This paper cites Unified training of universal time series forecasting transformers.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Unified training of universal time series forecasting transformers
Reference 20
- Resolution
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Observation 419312e2-f2a9-41e0-9bff-b1fe33f4b31a · outbound
This paper cites One fits all: Power general time series analysis by pretrained lm.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision One fits all: Power general time series analysis by pretrained lm
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 506c29d5-07ab-4343-8d21-e323afa186bc · outbound
This paper cites Time-LLM: Time series forecasting by repro- gramming large language models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Time-LLM: Time series forecasting by repro- gramming large language models
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation b8bf367f-0c9d-45be-a506-7d2ff41b4f74 · outbound
This paper cites In-context time series predictor.arXiv preprint arXiv:2405.14982, 2024.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision In-context time series predictor.arXiv preprint arXiv:2405.14982, 2024
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 6d22c550-7122-49b1-8772-654466685dcf · outbound
This paper cites Can llms understand time series anomalies?, 2024.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Can llms understand time series anomalies?, 2024
Reference 24
- Resolution
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Observation 5846be6a-6eb6-4aab-8115-d7b336f90182 · outbound
This paper cites Sarad: Spatial association-aware anomaly detection and diagnosis for multivariate time series.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Sarad: Spatial association-aware anomaly detection and diagnosis for multivariate time series
Reference 25
- Resolution
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Observation 7f453d9a-fc4f-4c8f-974c-b4cece47b0b5 · outbound
This paper cites Llm4hrs: Llm-based spatio-temporal imputation model for highly-sparse remote sensing data.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Llm4hrs: Llm-based spatio-temporal imputation model for highly-sparse remote sensing data
Reference 26
- Resolution
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Observation 23a8cbf7-55fb-4add-abc0-d577a8a42db6 · outbound
This paper cites Task-oriented time series imputation evaluation via generalized representers.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Task-oriented time series imputation evaluation via generalized representers
Reference 27
- Resolution
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Observation 664b204f-c538-493f-922f-95102c8b1ede · outbound
This paper cites Moment: A family of open time-series foundation models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Moment: A family of open time-series foundation models
Reference 28
- Resolution
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Observation 025c964c-9f04-4df8-b036-6c8e8edac1cc · outbound
This paper cites Shedding light on time series classification using interpretability gated networks.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Shedding light on time series classification using interpretability gated networks
Reference 29
- Resolution
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Observation e9e950fb-1e05-4d7f-a31a-ebfd43efad0d · outbound
This paper cites Mantis: Lightweight Foundation Model for Time Series Classification.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Mantis: Lightweight Foundation Model for Time Series Classification
Reference 30
- Resolution
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Observation bc19de4f-f489-4fda-963e-1f34d1f896db · outbound
This paper cites Hierarchical multimodal llms with semantic space alignment for enhanced time series classification, 2024.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Hierarchical multimodal llms with semantic space alignment for enhanced time series classification, 2024
Reference 31
- Resolution
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Observation dd32c6fe-edbb-45c9-9c28-f322ab6e0665 · outbound
This paper cites A survey on large language model based autonomous agents.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision A survey on large language model based autonomous agents
Reference 32
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This paper cites Chain-of-thought prompting elicits reasoning in large language models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Chain-of-thought prompting elicits reasoning in large language models
Reference 33
- Resolution
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This paper cites Towards Time Series Reasoning with LLMs.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Towards Time Series Reasoning with LLMs
Reference 34
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This paper cites Position: What can large language models tell us about time series analysis.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Position: What can large language models tell us about time series analysis
Reference 36
- Resolution
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Observation 545aab6d-bc5a-49d3-af7e-47e549c1c9e0 · outbound
This paper cites Aditya Prakash.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Aditya Prakash
Reference 37
- Resolution
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Observation 37d9da7c-3294-4911-840c-7e4c92a2e063 · outbound
This paper cites Position: Empowering time series reasoning with multimodal llms, 2025.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Position: Empowering time series reasoning with multimodal llms, 2025
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation eb8b03d2-a466-49e1-903d-68c9bd3f6b8e · outbound
This paper cites Mtbench: A multimodal time series benchmark for temporal reasoning and question answering.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Mtbench: A multimodal time series benchmark for temporal reasoning and question answering
Reference 39
- Resolution
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This paper cites Chatts: Aligning time series with llms via synthetic data for enhanced understanding and reasoning.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Chatts: Aligning time series with llms via synthetic data for enhanced understanding and reasoning
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a98dfe1-993a-45e8-9531-8ba255475bc9 · outbound
This paper cites Aditya Prakash.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Aditya Prakash
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation f4056644-10b2-4a99-9c6e-fc131e875b7f · outbound
This paper cites Large language models are zero-shot time series forecasters.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Large language models are zero-shot time series forecasters
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation 8f122229-d24a-458f-9242-de569910b8f2 · outbound
This paper cites Are language models actually useful for time series forecasting? Advances in Neural Information Processing Systems , 37: 60162–60191, 2024.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Are language models actually useful for time series forecasting? Advances in Neural Information Processing Systems , 37: 60162–60191, 2024
Reference 43
- Resolution
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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 560883d8-c893-4a37-a31f-4eb36c8ca289 · outbound
This paper cites LSTPrompt: Large language models as zero-shot time series forecasters by long-short-term prompting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision LSTPrompt: Large language models as zero-shot time series forecasters by long-short-term prompting
Reference 44
- Resolution
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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 b842a108-ce4f-480a-bd31-6384bc4e83c9 · outbound
This paper cites Understanding llms: A comprehensive overview from training to inference.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Understanding llms: A comprehensive overview from training to inference
Reference 45
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Observation 5a3f3208-b409-4e9a-b425-4c352f194fb8 · outbound
This paper cites Timeseriesexam: A time series understanding exam.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Timeseriesexam: A time series understanding exam
Reference 46
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 540afef0-44a6-4ca3-8782-9b80d31f8cdf · outbound
This paper cites Implicit reasoning in deep time series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Implicit reasoning in deep time series forecasting
Reference 47
- Resolution
- verified fuzzy
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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 270397ca-295d-4efd-a443-46c6c997a7b4 · outbound
This paper cites Supervised knowledge makes large language models better in-context learners.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Supervised knowledge makes large language models better in-context learners
Reference 48
- Resolution
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Source-reported events for the cited work
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Observation 1b79b558-1103-487d-9862-eb36f1694ac6 · outbound
This paper cites Maddix, Michael W.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Maddix, Michael W
Reference 49
- Resolution
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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 67d0840f-6770-4fa8-a99b-763b9a709be5 · outbound
This paper cites Qwen Technical Report.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Qwen Technical Report
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7d07232-5f45-42c1-90d5-b666245d712e · outbound
This paper cites Qwen2.5 Technical Report.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Qwen2.5 Technical Report
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fb6ecaa-8ee7-4919-9041-ebbc47285c55 · outbound
This paper cites The Llama 3 Herd of Models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision The Llama 3 Herd of Models
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d27028a-febf-46f4-9491-b99f4a76d1c4 · outbound
This paper cites The ucr time series archive.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision The ucr time series archive
Reference 53
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8fbd19e-2a93-4dc1-abbf-a3fa21dad1d3 · outbound
This paper cites The UEA multivariate time series classification archive, 2018.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision The UEA multivariate time series classification archive, 2018
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 600a007c-abe4-426c-a2dc-0b6c8986dd16 · outbound
This paper cites Time series analysis.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Time series analysis
Reference 55
- Resolution
- verified fuzzy
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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 c16c484f-3aef-444c-92b0-f1eabfc5864f · outbound
This paper cites Promptcast: A new prompt-based learning paradigm for time series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Promptcast: A new prompt-based learning paradigm for time series forecasting
Reference 56
- Resolution
- verified fuzzy
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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 de16c287-a55a-4cc9-a357-ee769ce78e26 · outbound
This paper cites Time series forecasting with llms: Understanding and enhancing model capabilities.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Time series forecasting with llms: Understanding and enhancing model capabilities
Reference 57
- Resolution
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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 69b8e795-6177-4d53-bed0-6f7888c7c1d5 · outbound
This paper cites Timer: Generative pre-trained transformers are large time series models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Timer: Generative pre-trained transformers are large time series models
Reference 58
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6fb1e67-83f7-4c5e-baa1-5acda0dcd045 · outbound
This paper cites A decoder-only foundation model for time-series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision A decoder-only foundation model for time-series forecasting
Reference 59
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2151c95e-65ee-4ac4-84ab-8ef0901f3753 · outbound
This paper cites Iot-llm: Enhancing real-world iot task reasoning with large language models.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Iot-llm: Enhancing real-world iot task reasoning with large language models
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37354cb1-903d-4c30-b099-1d80d74fcde3 · outbound
This paper cites Instructime: Advancing time series classification with multimodal language modeling.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Instructime: Advancing time series classification with multimodal language modeling
Reference 61
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb1f7b63-ed64-4c9b-903d-102a289be5cb · outbound
This paper cites Domain-oriented time series inference agents for reasoning and automated analysis, 2024.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Domain-oriented time series inference agents for reasoning and automated analysis, 2024
Reference 62
- Resolution
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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 b0f7888b-1847-4302-8983-802bcea9e0b9 · outbound
This paper cites Olivares, Michał Wili ´nski, Nina ˙Zukowska, and Artur Dubrawski.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Olivares, Michał Wili ´nski, Nina ˙Zukowska, and Artur Dubrawski
Reference 63
- Resolution
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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 883d414f-7525-4800-a25e-6f11f1ac0adb · outbound
This paper cites Implicit reasoning in deep time series forecasting, 2024.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Implicit reasoning in deep time series forecasting, 2024
Reference 64
- Resolution
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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 d1908bb1-d7ed-42aa-b452-5cdbe66b79cf · outbound
This paper cites Language Models Still Struggle to Zero-shot Reason about Time Series.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Language Models Still Struggle to Zero-shot Reason about Time Series
Reference 65
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40bc6708-6255-4f01-a506-bb2c5125afba · outbound
This paper cites itrans- former: Inverted transformers are effective for time series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision itrans- former: Inverted transformers are effective for time series forecasting
Reference 66
- Resolution
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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 d6445c26-fdb3-438d-9930-4dc6c69df112 · outbound
This paper cites Timexer: Empowering transformers for time series forecasting with exogenous variables.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Timexer: Empowering transformers for time series forecasting with exogenous variables
Reference 67
- Resolution
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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 af53ce9c-b30f-452d-988f-e31b5d29e50f · outbound
This paper cites Foundation models for time series analysis: A tutorial and survey.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Foundation models for time series analysis: A tutorial and survey
Reference 68
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1021769-cfc9-4dfd-83a2-aebabc1889b3 · outbound
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Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Llm4ts: Aligning pre-trained llms as data-efficient time-series forecasters
Reference 69
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7214e942-6c56-4fa2-8942-5210da97fe14 · outbound
This paper cites Unitime: A language-empowered unified model for cross-domain time series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Unitime: A language-empowered unified model for cross-domain time series forecasting
Reference 70
- Resolution
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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 d18f3290-06f3-4e76-81dc-9384091d127a · outbound
This paper cites TEMPO: Prompt-based generative pre-trained transformer for time series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision TEMPO: Prompt-based generative pre-trained transformer for time series forecasting
Reference 71
- Resolution
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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 b53a4c6b-6575-4d45-ab07-8f3038fefe3e · outbound
This paper cites Timesnet: Tem- poral 2d-variation modeling for general time series analysis.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Timesnet: Tem- poral 2d-variation modeling for general time series analysis
Reference 72
- Resolution
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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 b9315365-e8d9-4de3-b80e-a15dc0a15574 · outbound
This paper cites Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting
Reference 73
- Resolution
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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 57bec804-9384-420f-93ad-2bd33c6ae8c0 · outbound
This paper cites FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting
Reference 74
- Resolution
- verified fuzzy
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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 365939c0-4d5e-4abf-8878-e0913474440e · outbound
This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Reference 75
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ea02ee3-25ad-48ce-ad1f-1444984d6a94 · outbound
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Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam
Reference 76
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23ead614-cdaa-48e0-ac3d-e875b03b6e7f · outbound
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Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Unresolved cited work
Reference 77
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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 0cc203b4-f3d1-42bd-a1f2-0e9f4ef657db · outbound
This paper cites Are transformers effective for time series forecasting? Proceedings of the AAAI Conference on Artificial Intelligence, 37(9):11121–11128, Jun.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Are transformers effective for time series forecasting? Proceedings of the AAAI Conference on Artificial Intelligence, 37(9):11121–11128, Jun
Reference 78
- Resolution
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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 776599d1-7e2c-44ea-b3ca-baaf56bc7ed3 · outbound
This paper cites an unresolved cited work.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Unresolved cited work
Reference 79
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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 d8d3cb57-1835-481a-a52e-73491f2d6f24 · outbound
This paper cites – Amplitude Differences: 1.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision – Amplitude Differences: 1
Reference 80
- Resolution
- verified fuzzy
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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 f08039c4-94ba-41f7-aa50-46e4ceb24d83 · outbound
This paper cites – Amplitude Differences: 1.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision – Amplitude Differences: 1
Reference 81
- Resolution
- verified fuzzy
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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 5371e27f-7407-4d9a-9726-4a33d85a8357 · outbound
This paper cites Random fluctuations are minimal and consistent across categories.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision Random fluctuations are minimal and consistent across categories
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:01:17.755704Z
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 90607232-b1b6-444f-a5db-06ad45ddd8a0 · outbound
This paper cites – Structural Break Differences: 1.
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision – Structural Break Differences: 1
Reference 83
- Resolution
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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.
Pith citing papers
Observation 4c4903e9-89bb-42a2-bae2-878519290faa · 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 Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
Reference 150
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8b24ed1-8e9a-4076-bcd0-9888ddead4c9 · inbound
RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition cites this paper.
RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
Reference 46
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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 589f49de-571a-4790-b84d-b909c25fdf48 · inbound
TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity Understanding cites this paper.
TRACE-TS: Attribution-Grounded and Traceable Sensor-Language Reasoning for Human Activity Understanding Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
Reference 73
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Unavailable: canonical work link unavailable.