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Paper Citation Record · LEDGER

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.24892.

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

pith.paper-citation-record.v1
2607.24892 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:35:53.136160Z

measured 49 of 49 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

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Source: cited_works

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation c34da049-e8b3-4503-a0ed-fd0d9f43784c · outbound

This paper cites Gonzalez and Ion Stoica , booktitle=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Gonzalez and Ion Stoica , booktitle=

Reference 1

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source=arxiv_source observed=2026-07-31T12:35:49.043980Z digest=sha256:a55c5cc2851bdaf7314d092a2ae9a7933ca7b324b6a6cd5e9f189f8fe0348df5

Observation db7451ef-d663-4cb7-8a43-c3bc1b2bfa67 · outbound

This paper cites CoRR , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models CoRR , volume =

Reference 2

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source=arxiv_source observed=2026-07-31T12:35:49.122927Z digest=sha256:d3f70e3567ac2b1036e62ea6aa63a52ff6158ec469011e56db005def8abb34f8

Observation 945442c2-862c-47a3-a183-5decfdf87f08 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models The Twelfth International Conference on Learning Representations , year=

Reference 3

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Observation e824b892-1826-4adb-9f1b-07d9bf1248b2 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Transactions on Machine Learning Research , issn=

Reference 4

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Observation 3d809b97-4f5b-41d0-8726-1115a6bba4d0 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 5

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Observation 152c99ab-9cf9-44f6-9134-12e747b2ee42 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 6

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Observation a62ce960-f5ab-4534-8266-1e8adc6372a8 · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 7

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Observation 152187a1-a688-40cc-8860-5674aeed0e9d · outbound

This paper cites an unresolved cited work.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-07-31T12:35:49.610848Z digest=sha256:a46dfd0f5625bf755faa5aadb324b549a83d0baba1033a80c7fa1dbb15ab9322

Observation 12fa130d-3f4d-41c6-b7ae-381f454974fc · outbound

This paper cites Attention is All you Need , url =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Attention is All you Need , url =

Reference 9

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Observation 00bb9ac3-ee08-46f0-8069-895a55cb2b12 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Forty-second International Conference on Machine Learning , year=

Reference 10

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Observation 0823e89a-80eb-4b0d-9ec9-94f07ddd154d · outbound

This paper cites Sasanur and Megha Sharma and Jiaming Cui and Qingsong Wen and Chao Zhang and B.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Sasanur and Megha Sharma and Jiaming Cui and Qingsong Wen and Chao Zhang and B

Reference 11

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Observation be3cdc81-1a4a-4a5f-870f-b1c89049dc31 · outbound

This paper cites Zhang and Xiaoming Shi and Pin-Yu Chen and Yuxuan Liang and Yuan-Fang Li and Shirui Pan and Qingsong Wen , booktitle=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Zhang and Xiaoming Shi and Pin-Yu Chen and Yuxuan Liang and Yuan-Fang Li and Shirui Pan and Qingsong Wen , booktitle=

Reference 12

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Observation ad09d009-deb5-4106-a41e-f9c3a93b1f7f · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 13

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Observation 8f21485d-2a6e-4fbc-9eed-a02e93c40e26 · outbound

This paper cites Beyond Na.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Beyond Na

Reference 14

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Observation 2069853a-adb4-43ac-bf5b-5615ea243ca7 · outbound

This paper cites Qwen2.5 Technical Report.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Qwen2.5 Technical Report

Reference 15

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Observation 0ba6f38e-f883-4ada-98af-20686b5120e9 · outbound

This paper cites Lillicrap and Fan Hui and Laurent Sifre and George van den Driessche and Thore Graepel and Demis Hassabis , title =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Lillicrap and Fan Hui and Laurent Sifre and George van den Driessche and Thore Graepel and Demis Hassabis , title =

Reference 16

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Observation baf6f859-3324-4e49-925c-a45b319e2dc8 · outbound

This paper cites European Conference on Machine Learning , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models European Conference on Machine Learning , year=

Reference 17

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Observation ede454e7-9fac-4bbe-b980-f990aa4370f2 · outbound

This paper cites Annals of Mathematics and Artificial Intelligence , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Annals of Mathematics and Artificial Intelligence , volume =

Reference 18

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Observation 8e492b11-550e-4530-862e-5e0aafc3cb42 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Reasoning with Language Model is Planning with World Model

Reference 19

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Observation 46c0aa86-1d7c-4080-8aa8-7e98ab943554 · outbound

This paper cites 2023 , isbn =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models 2023 , isbn =

Reference 20

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Observation 7153b1f2-d5ff-437f-8b79-82c35551d23c · outbound

This paper cites Journal of the American Statistical Association , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Journal of the American Statistical Association , volume =

Reference 21

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Observation 0ea22fcd-bc2e-49ca-9721-c735009d8cba · outbound

This paper cites International Journal of Forecasting , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models International Journal of Forecasting , volume =

Reference 22

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Observation 37bee400-8546-48c6-826a-6b9253a699f6 · outbound

This paper cites Matheson and Robert L.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Matheson and Robert L

Reference 23

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Observation 6e54fdb6-f414-4578-bffa-5f1bd12b1bf2 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models The Eleventh International Conference on Learning Representations , year=

Reference 24

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Observation 8db60513-ba48-41e8-9363-53491949dc07 · outbound

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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Unresolved cited work

Reference 25

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Observation 4cf1d1de-829b-4b20-8ff6-6a35e8bb78a8 · outbound

This paper cites Nexus : An Agentic Framework for Time Series Forecasting , journal =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Nexus : An Agentic Framework for Time Series Forecasting , journal =

Reference 26

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Observation 760d6a8e-2cec-49d2-8a29-6959a952f103 · outbound

This paper cites CoRR , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models CoRR , volume =

Reference 27

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Observation 7749582e-4597-4b46-a2d1-84646bad3a79 · outbound

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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Unresolved cited work

Reference 28

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Observation bc0e9071-b105-4601-be4a-fe42ff54afbc · outbound

This paper cites One Fits All: Power General Time Series Analysis by Pretrained.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models One Fits All: Power General Time Series Analysis by Pretrained

Reference 29

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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models , title =

Reference 30

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Observation 45f92cf5-0ffd-47a9-b402-4a4d98afd4c0 · outbound

This paper cites International Conference on Algorithmic Learning Theory , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models International Conference on Algorithmic Learning Theory , year=

Reference 31

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Observation 096a69aa-1587-4a62-9fb2-1a49427c3f9d · outbound

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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Selective Classification for Deep Neural Networks , url =

Reference 32

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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer , url =

Reference 33

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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 34

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This paper cites Language Models Still Struggle to Zero-shot Reason about Time Series.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Language Models Still Struggle to Zero-shot Reason about Time Series

Reference 35

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This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 36

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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models The Fourteenth International Conference on Learning Representations , year=

Reference 37

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This paper cites The 29th International Conference on Artificial Intelligence and Statistics , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models The 29th International Conference on Artificial Intelligence and Statistics , year=

Reference 38

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Observation c5c1d82f-8a27-445a-bf65-7c6effed2106 · outbound

This paper cites Lillicrap and Karen Simonyan and Demis Hassabis , title =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Lillicrap and Karen Simonyan and Demis Hassabis , title =

Reference 39

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Observation 6e061219-24d0-45aa-9b7a-c151b67c57b6 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 40

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no resolver link, observed 2026-07-31T12:35:52.318500Z

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source=arxiv_source observed=2026-07-31T12:35:52.318500Z digest=sha256:f207be79572d6ce1f736d81e41b686e28e566aed93d1a19b8c685bdc1320c464

Observation c749fa71-9a39-4bae-9ae5-dcd6b47f8945 · outbound

This paper cites an unresolved cited work.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Unresolved cited work

Reference 41

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Observation b6158140-2aa6-4ea0-8a1d-77b483d47620 · outbound

This paper cites Learning to summarize with human feedback , url =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Learning to summarize with human feedback , url =

Reference 42

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Observation bed14ce0-3f1c-4b6e-937d-cadc536c3f6c · outbound

This paper cites CoRR , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models CoRR , volume =

Reference 43

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Observation 957c6a32-0260-42b4-b58d-b997d5dc6d97 · outbound

This paper cites 2026 , eprint=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models 2026 , eprint=

Reference 44

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Observation d6f1a009-035d-4ded-9821-03bdd4b54554 · outbound

This paper cites Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts , volume =

Reference 45

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no resolver link, observed 2026-07-31T12:35:52.728216Z

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source=arxiv_source observed=2026-07-31T12:35:52.728216Z digest=sha256:0fdb60409a86b95aff20253a9fedbfd48c7d7b193f6e94b8db8f4c5609b555f5

Observation 98b82fda-2e65-467b-b2e3-71b254e943e6 · outbound

This paper cites Evaluating Forecasts for High-Impact Events Using Transformed Kernel Scores , volume =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Evaluating Forecasts for High-Impact Events Using Transformed Kernel Scores , volume =

Reference 46

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source=arxiv_source observed=2026-07-31T12:35:52.896554Z digest=sha256:604f102b04506cc528eef7d1fe1c9319a571d18281cad1bf5d66c5dbccf436fe

Observation fa9a29a2-f439-4fe8-b71d-2916682f4f62 · outbound

This paper cites Aditya Prakash and Abhimanyu Das , title =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Aditya Prakash and Abhimanyu Das , title =

Reference 47

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source=arxiv_source observed=2026-07-31T12:35:52.984693Z digest=sha256:eaacdfbbed449d126cead13d1fea4bf15cf692f76a77aa5890b2b6c94e1ec400

Observation d8d6517c-b561-4380-afc0-003e184cf914 · outbound

This paper cites Proceedings of the 43rd International Conference on Machine Learning , year =.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Proceedings of the 43rd International Conference on Machine Learning , year =

Reference 48

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no resolver link, observed 2026-07-31T12:35:53.075946Z

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source=arxiv_source observed=2026-07-31T12:35:53.075946Z digest=sha256:cc770a8009a8bce139e256f73afb23032c7922b5c3f7ba74b9202df88b9ce0ec

Observation 37dcd0b4-768e-4813-a765-c8acdc872eba · outbound

This paper cites Advances in Neural Information Processing Systems , editor=.

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models Advances in Neural Information Processing Systems , editor=

Reference 49

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source=arxiv_source observed=2026-07-31T12:35:53.136160Z digest=sha256:2c6b21f6a849395a7f42204fb940606f639cc41653c3e5dce71d9c36d24de026

Pith citing papers

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