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Paper Citation Record · LEDGER

Large Language Models for Time Series: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2402.01801.

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

pith.paper-citation-record.v1
2402.01801 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:43:55.876456Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fea8a66b-95a2-4f17-83a9-009ee76bb6af · inbound

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications cites this paper.

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications Large Language Models for Time Series: A Survey

Reference 98

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unresolved
no resolver link, observed 2026-08-09T17:43:55.876456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:43:55.876456Z digest=sha256:32f069a34b2acf53f066c48f26a2e165921b049ee5a684d1fcdbb774a145d81f

Observation 3b7d6469-4696-4c84-9512-c2b00b6a8f24 · inbound

LAST SToP For Modeling Asynchronous Time Series cites this paper.

LAST SToP For Modeling Asynchronous Time Series Large Language Models for Time Series: A Survey

Reference 69

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no resolver link, observed 2026-08-09T14:02:48.565580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.565580Z digest=sha256:6dadf9a2992c13248b44ab51cc9f67e1198e17589dea27bd13190784666291a5

Observation 67183dd9-217d-4455-8917-8e0509c62b4f · inbound

Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data cites this paper.

Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data Large Language Models for Time Series: A Survey

Reference 81

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no resolver link, observed 2026-08-07T05:51:02.961753Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:51:02.961753Z digest=sha256:e240d16b12349e8a70c8ecace0856b74fea04398ccbcb54847bdf704a628707a

Observation 1fce09e0-6a1f-463e-a22c-6fcca2d97616 · 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 Large Language Models for Time Series: A Survey

Reference 50

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metadata mismatch
arxiv_id, observed 2026-05-19T09:22:14.303911Z

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:d2c815d2c3dc737f461f44d80925074bb7889c3abfd2ec0d29133d557f1db689

Observation f4a3a61a-4a56-49d1-9753-b305801786c8 · 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 Large Language Models for Time Series: A Survey

Reference 64

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no resolver link, observed 2026-08-07T04:27:17.402857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:17.402857Z digest=sha256:55a0e6576ca08a033d71efae5b647dd31175a638cedd8c1f1e0d7f1e595eac20

Observation a2dfa6de-e43b-42a4-8246-6650ab05c8b8 · 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 Large Language Models for Time Series: A Survey

Reference 88

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no resolver link, observed 2026-08-07T15:26:58.220422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:58.220422Z digest=sha256:498fb93b98adaa8c267184cb6ff5034461e55ac1906be81f43fd9bfe22821653

Observation 8471fffc-6240-464d-8e7d-ce10c477aed3 · inbound

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification cites this paper.

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification Large Language Models for Time Series: A Survey

Reference 234

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no resolver link, observed 2026-08-06T23:26:54.663875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:54.663875Z digest=sha256:e9104e9144db83b756481a012f0ed4289c0265854e107afab3993544256b9fdf

Observation 73591100-a45d-410f-abdf-fb2895542b50 · inbound

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting cites this paper.

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting Large Language Models for Time Series: A Survey

Reference 8

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no resolver link, observed 2026-08-06T23:11:49.093969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:49.093969Z digest=sha256:b30e4d642005931ddaaf5568ded58e56f4ae02237e11467ed16944a6c01d4198

Observation 3c0b2544-c85c-4e99-b096-e4a5b444ee91 · inbound

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training cites this paper.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Large Language Models for Time Series: A Survey

Reference 50

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metadata mismatch
arxiv_id, observed 2026-05-19T03:37:00.858436Z

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=2026-05-19T03:36:50.366757Z digest=sha256:e178b7340205755d9691e9873bf85a856514b6ce554470f0f9d41367d889c9c8

Observation c13c996c-74a8-4b8c-b5ba-8cc024e02dec · inbound

ELATE: Evolutionary Language model for Automated Time-series Engineering cites this paper.

ELATE: Evolutionary Language model for Automated Time-series Engineering Large Language Models for Time Series: A Survey

Reference 54

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no resolver link, observed 2026-08-05T18:26:32.707519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:26:32.707519Z digest=sha256:5e86ce480e393ec5c334a671970a76065bd9da4589001578e858baff8ef34426

Observation 6d22cb64-0387-4f80-b670-cbf2ecae5369 · inbound

Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook cites this paper.

Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook Large Language Models for Time Series: A Survey

Reference 46

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no resolver link, observed 2026-08-05T19:52:36.065633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:52:36.065633Z digest=sha256:984883be277531dd91c03fbf34a3d55a4a5f282cf0bf7cbee66def37d7ef761f

Observation 9974df22-5056-43fd-b78d-6b04999b62f9 · inbound

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

BEDTime: A Unified Benchmark for Automatically Describing Time Series Large Language Models for Time Series: A Survey

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:56:46.020977Z

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=2026-05-18T18:55:18.730234Z digest=sha256:78b5d3caeb5220d83432fc9dc9e410e1a19be01f33de986b70dca4a50bd5a4e1

Observation 1e172f77-3785-45e6-89cd-591ac47023f6 · inbound

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering cites this paper.

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering Large Language Models for Time Series: A Survey

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-18T09:11:09.631085Z

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=2026-05-18T09:09:42.177940Z digest=sha256:5df459b3f41449bc1f9b03e5846fabc34d9b39a5c0a95eba277d8db2f5b2338c

Observation 05b81ca4-4ef3-445f-b90e-a9ae8820cfb2 · inbound

TSAQA: Time Series Analysis Question And Answering Benchmark cites this paper.

TSAQA: Time Series Analysis Question And Answering Benchmark Large Language Models for Time Series: A Survey

Reference 7

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unresolved
no resolver link, observed 2026-08-03T06:16:23.471745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:16:23.471745Z digest=sha256:a58ec6819dbf7b7f74e5317a6c2cd6e1dddc333df0bb247a52530d0d93c7ca3c

Observation 13a5cf4f-78cb-4f08-b781-80a7dc8170e6 · inbound

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions cites this paper.

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions Large Language Models for Time Series: A Survey

Reference 46

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metadata mismatch
arxiv_id, observed 2026-05-15T00:19:35.428892Z

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.

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Observation 10c77378-2438-457c-afed-41021f94e380 · inbound

Time Series Augmented Generation for Financial Applications cites this paper.

Time Series Augmented Generation for Financial Applications Large Language Models for Time Series: A Survey

Reference 5

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verified exact
arxiv_id, observed 2026-05-11T13:01:26.104221Z

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=arxiv_source observed=2026-05-10T02:25:59.149273Z digest=sha256:111c1ba52227b5882a1c366045fd9fd25736a3ac87cf1884d1ff7fbe308f968c

Observation 93b77ff0-14f5-476c-a4ed-a2659876515d · inbound

Physics-Aware LLM-Based Probabilistic Wind Power Scenario Generation under Extreme Icing Conditions cites this paper.

Physics-Aware LLM-Based Probabilistic Wind Power Scenario Generation under Extreme Icing Conditions Large Language Models for Time Series: A Survey

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-11T21:26:12.636067Z

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.

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Observation fa3f2bcd-b455-4609-b542-c6829a574a1f · inbound

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning cites this paper.

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning Large Language Models for Time Series: A Survey

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-12T02:41:17.185871Z

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.

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Observation 9cb21523-1ace-4e60-9248-ae48dc2d01b3 · inbound

Efficient and Adaptive Human Activity Recognition via LLM Backbones cites this paper.

Efficient and Adaptive Human Activity Recognition via LLM Backbones Large Language Models for Time Series: A Survey

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-13T06:57:27.873126Z

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.

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Observation 218f65bc-285d-4850-8053-ff6a5ba131cd · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Large Language Models for Time Series: A Survey

Reference 39

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verified exact
arxiv_id, observed 2026-05-22T02:50:57.813876Z

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=arxiv_source observed=2026-05-22T02:46:14.834690Z digest=sha256:79780a995b2200d0b9870d9ba37bae4482629c4605e5f80f8e389bbc4d6f7ac6

Observation 4f8ad5f9-3a76-40e7-8586-5db98dab5e6e · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Large Language Models for Time Series: A Survey

Reference 39

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verified exact
arxiv_id, observed 2026-05-25T02:55:16.049921Z

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=arxiv_source observed=2026-05-25T02:51:29.233816Z digest=sha256:dcd0b8315472f58f33166387b29b7fdbacc4379965245a42b5774b7c1426f005

Observation d1c257c2-6d58-4ce5-bd23-b5c969876959 · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Large Language Models for Time Series: A Survey

Reference 43

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verified exact
arxiv_id, observed 2026-06-30T16:44:55.538728Z

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=arxiv_source observed=2026-06-30T16:40:41.013048Z digest=sha256:b83e9163be8bef2fd2af7d9518df1b8fec352c3af9c4378bf89660b3df7a5891

Observation 64adc2fb-6a34-4251-b07b-359b6a7332f7 · inbound

InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs cites this paper.

InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs Large Language Models for Time Series: A Survey

Reference 30

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arxiv_id, observed 2026-07-02T22:37:25.493083Z

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=2026-06-27T18:48:47.429859Z digest=sha256:76369f13383e58a15d0224b48fd63a4273dd15f85564c70fd7e3c00356d49294

Observation 85f339b3-4adb-434d-9a56-8be19e9002da · inbound

CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts cites this paper.

CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts Large Language Models for Time Series: A Survey

Reference 42

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verified exact
arxiv_id, observed 2026-07-03T13:38:19.515187Z

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=2026-06-27T07:40:36.803937Z digest=sha256:aa1fd11f2dc5385681897a33d4bc2c980f80b5ffa26c1cefdd3058aaac338511

Observation a80e7503-9390-4401-9214-1a2732fd5f68 · inbound

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series cites this paper.

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series Large Language Models for Time Series: A Survey

Reference 47

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no resolver link, observed 2026-07-14T14:52:42.813309Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:52:42.813309Z digest=sha256:0b7c31fd0406eec0b1e738668dda31446520c6343ec92010edd90bac00de9888

Observation d62da6ba-c0c9-436b-9a79-f58edc60d97c · inbound

A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series cites this paper.

A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series Large Language Models for Time Series: A Survey

Reference 31

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no resolver link, observed 2026-08-01T01:06:49.993008Z

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Unavailable: canonical work link unavailable.

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