Paper Citation Record · LEDGER

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

As of 23 July 2026, this Paper Citation Record lists 100 of 112 outbound references and 54 inbound Pith citation observations for arXiv:2310.01728.

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

pith.paper-citation-record.v1
2310.01728 v2

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T16:03:17.015913Z

measured 154 of 154 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 54 of 54 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:52:42.813309Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:17:44.658229Z

Reference resolution

100 of 112 outbound references displayed

verified exact12
verified fuzzy85
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d874ffe8-5494-489c-b4b5-dfc8e6124c04 · outbound

This paper cites Kingma and Jimmy Ba , title =.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Kingma and Jimmy Ba , title =

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.319332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4ccd622c-9a54-4b8c-8a8d-2012f6b0646d · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.324609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b9ace491-aa94-46b2-9fcc-c9a2b6c85aaf · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models IEEE Transactions on Neural Networks and Learning Systems , year=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.327290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0091f413-d5b2-4bd6-bd9d-b6cc2aea3ca0 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.329488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 9a3a3dfb-483a-4999-89ae-f3ecd19fe020 · outbound

This paper cites Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.331771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 46436fef-0982-4e97-8085-59715c9e2510 · outbound

This paper cites Proceedings of 25th European Symposium on Artificial Neural Networks , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of 25th European Symposium on Artificial Neural Networks , year=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.333926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 81877ca3-da3c-4dcf-aa04-6b8203f6bc55 · outbound

This paper cites IEEE International Conference on Big Data , pages=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models IEEE International Conference on Big Data , pages=

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.336270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 465b2334-e8cb-4566-9f9f-a7d6fb3158df · outbound

This paper cites International Conference on Machine Learning , pages=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Machine Learning , pages=

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.338396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e9ff56b9-9bec-48f4-9c55-ae307218a61b · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.340772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 06130564-5210-43e2-acf2-2eb4ee4aa214 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.342810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 99e690e6-acb8-4c72-a841-6f26e06a0950 · outbound

This paper cites International Journal of Forecasting , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Journal of Forecasting , volume=

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.345510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e807c58b-6659-4ab8-b77d-af6b4f267ee2 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.348610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f6f21d25-39a8-4285-a69c-c4db94ccc500 · outbound

This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , year=

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.351425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4429b0f8-28d7-41dc-8be0-b442cab4859f · outbound

This paper cites 2015 , publisher=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models 2015 , publisher=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.354441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b7c53f17-a2ab-47e5-8270-2599d8309540 · outbound

This paper cites Reviews of Geophysics , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Reviews of Geophysics , volume=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.357026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 36ce80a6-a16a-407a-a7fb-fa8f97c12b4b · outbound

This paper cites The 32nd International Joint Conference on Artificial Intelligence , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models The 32nd International Joint Conference on Artificial Intelligence , year=

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.359633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation acf6fc05-ab9c-4eea-9638-fd33248a1b2a · outbound

This paper cites Proceedings of the 7th Annual Conference on Robot Learning , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the 7th Annual Conference on Robot Learning , year=

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.362040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 684fa5e7-d0e3-45b7-9f0c-d60eda0eeaae · outbound

This paper cites 2023 , eprint=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models 2023 , eprint=

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.364529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 9fb8302b-5097-41e0-b71b-f5f50b5c1f02 · outbound

This paper cites IEEE Transactions on Power Systems , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models IEEE Transactions on Power Systems , volume=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.366985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 18601122-d089-496d-963a-839a931ca167 · outbound

This paper cites Transfusion , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Transfusion , volume=

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.129270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6f25b032-286a-4b27-8534-e9a4044453bd · outbound

This paper cites with exhibits , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models with exhibits , volume=

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.131754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cd35a07c-c5f1-40b1-8971-8e60674a067b · outbound

This paper cites Neural computation , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Neural computation , volume=

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.134536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7cbe64ef-f1f4-4209-81d3-63c858c9b509 · outbound

This paper cites OpenAI blog , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models OpenAI blog , volume=

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.137053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2c662583-8e8f-4e41-bdbf-d93611c9c89d · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Learning Representations , year=

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.140165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0b712967-d477-4fcc-a01b-d7d5c76cbbd6 · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:03:17.083782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 28cd2a9f-c9a0-4ac9-90b2-d1583e91d72d · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Learning Representations , year=

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.142581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c4e6b663-706a-4faa-9fc7-8d127352a677 · outbound

This paper cites A Survey of Large Language Models.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models A Survey of Large Language Models

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T16:03:17.062246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cf56c198-4efb-4828-a808-596e5a0847ee · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.146451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 18a93a9c-2330-4dd0-b1a8-e48d449b4253 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.149066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 260f16f9-305e-4799-9089-50638b2e719c · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Learning Representations , year=

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.151958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f942381a-0577-4b09-8296-a6f82beab322 · outbound

This paper cites International Journal of Forecasting , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Journal of Forecasting , volume=

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.154332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 8f235a78-5b9f-4774-84de-94d5b5b793cc · outbound

This paper cites International Joint Conference on Artificial Intelligence , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Joint Conference on Artificial Intelligence , year=

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.157394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c6c11fad-232b-421d-bac3-dece4179c920 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.159922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 51854710-13f2-4aa7-a998-dba1982896ac · outbound

This paper cites International Conference on Machine Learning , pages=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Machine Learning , pages=

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.162524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 843314a7-876a-459c-b34f-e00621e09e81 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.164776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 3c7219ab-c617-4375-a6f5-16e391ecdb3d · outbound

This paper cites IEEE International Conference on Acoustics, Speech and Signal Processing , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models IEEE International Conference on Acoustics, Speech and Signal Processing , year=

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.167374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7d40ee29-34ef-4e87-b9db-0bc04327d8f1 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Learning Representations , year=

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.169896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 82f14055-fe56-42ee-b779-1d1ae9a486ac · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.172821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e4b332d7-72d6-4b77-9f73-912e7bb58886 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.175242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 824fafa4-a8d3-49b7-a524-298dbb2d3fa0 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Learning Representations , year=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.178482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 034c53a7-6995-4794-bdd3-1a6da7df2a5a · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , year=

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.181748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5112686d-2f34-46e3-ac0c-3b1bbd1e39cb · outbound

This paper cites Advances in neural information processing systems , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in neural information processing systems , volume=

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.184703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b09d4c63-5e49-423d-a6c5-d8878344bb23 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.187664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 98750e6f-41f5-4c53-b2c3-65fe5c30d3b0 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.190330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 18a51067-8911-429d-951a-7997ac2e47e0 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , year=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.193158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 637c7ccf-17cf-4093-bef9-b2dd71e11361 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.196091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f301c2aa-ec14-47c2-95f9-4a347b4461e1 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.198678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5cdecb47-da4d-4565-a908-43b65347c3a7 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence , year=

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.201628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c37b7eb4-c312-4ea1-989e-d6ddbf650b06 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Advances in Neural Information Processing Systems , year=

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.204016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fb0024d6-379e-423f-bf76-cb5337eb6d4a · outbound

This paper cites International journal of forecasting , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International journal of forecasting , volume=

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.206770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c6a84f4b-d7ac-4020-823b-13b7eb0e061d · outbound

This paper cites Annual Conference on Neural Information Processing Systems , year=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Annual Conference on Neural Information Processing Systems , year=

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.209249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation da39a4cb-fdce-472d-9ccc-8565b871f7d3 · outbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models International Conference on Machine Learning , year=

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.212088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 89f96b18-c858-4eb7-85a2-572a5de18259 · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models The Journal of Machine Learning Research , volume=

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.214438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c800a819-85fc-4e98-bb05-f2211f7e6447 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:03:17.071181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cbb880e6-e72f-4b45-ba66-7874408b92d9 · outbound

This paper cites Time series analysis: forecasting and control.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Time series analysis: forecasting and control

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.217403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 71103603-30bb-4ef7-bc11-799cef377a38 · outbound

This paper cites Language models are few-shot learners.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Language models are few-shot learners

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.220282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation aa5c2251-a21c-4013-98ad-3e7696067558 · outbound

This paper cites N-hits: Neural hierarchical interpolation for time series forecasting.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models N-hits: Neural hierarchical interpolation for time series forecasting

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.223566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 90a65c02-281c-46aa-94ca-9efd904e8c68 · outbound

This paper cites Nhits: neural hierarchical interpolation for time series forecasting.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Nhits: neural hierarchical interpolation for time series forecasting

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.226366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 08d5ba5b-4ff1-4031-b237-39505effb8db · outbound

This paper cites LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.091780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 83ceb493-032c-475f-aff7-4e9ea1a264ce · outbound

This paper cites Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.100123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 90a70fcc-2078-46d8-8621-1ff9294591eb · outbound

This paper cites Leveraging Large Language Models for Pre-trained Recommender Systems.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Leveraging Large Language Models for Pre-trained Recommender Systems

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.111574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation d5f3767d-805e-42d8-96c8-5f1e13dbfbe4 · outbound

This paper cites Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data

Reference 79

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:03:17.057466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 8058528f-1b7c-4183-bd09-ffab7a113b74 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Qlora: Efficient finetuning of quantized llms

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.229095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation eff12107-29cd-47b1-b46c-5d1fc994b3a8 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.231531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 868b6e7e-b4da-43dc-8a7a-bfae5b023c9b · outbound

This paper cites Transfer learning for time series classification.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Transfer learning for time series classification

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.234118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6fa2a2b4-b7e0-4a84-a9f1-4b075421906d · outbound

This paper cites Large language models are zero-shot time series forecasters.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Large language models are zero-shot time series forecasters

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.236405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7f10f843-e96b-41d0-981c-ae887ebbf0b0 · outbound

This paper cites Darts: User-friendly modern machine learning for time series.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Darts: User-friendly modern machine learning for time series

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.238875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cfdb3620-c502-47b4-b1bd-2ea267c25fd2 · outbound

This paper cites Long short-term memory.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Long short-term memory

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.241267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b229574c-657f-49bf-a619-6720cbecf3f2 · outbound

This paper cites A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.118849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e5d4aee9-870c-4b7a-bf09-cb1f3ca17a8a · outbound

This paper cites Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-06-09T03:06:57.477196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation af707a43-029e-4365-bc8a-11a2ddd3771f · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.244525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b0e06fba-55be-4625-9391-0dbbe092eab8 · outbound

This paper cites Kingma and Jimmy Ba.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Kingma and Jimmy Ba

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.246553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 416f5419-ee91-4536-809f-fa0542dcc2f6 · outbound

This paper cites Reformer: The efficient transformer.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Reformer: The efficient transformer

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.248818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7b2db0e1-3a91-43b7-8d42-f25982b829a1 · outbound

This paper cites Large language models are zero-shot reasoners.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Large language models are zero-shot reasoners

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.250948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 83728863-da22-4a4c-8daf-15399e5c5f22 · outbound

This paper cites Promotional analysis and forecasting for demand planning: a practical time series approach.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Promotional analysis and forecasting for demand planning: a practical time series approach

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.253505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 3c610d01-651b-43bc-8ea3-54bb738aae0b · outbound

This paper cites From demand forecasting to inventory ordering decisions for red blood cells through integrating machine learning, statistical modeling, and inventory optimization.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models From demand forecasting to inventory ordering decisions for red blood cells through integrating machine learning, statistical modeling, and inventory optimization

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.255842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 51ce8798-89dc-4e1a-a8ae-8842a83a5bd6 · outbound

This paper cites Sadi: A self-adaptive decomposed interpretable framework for electric load forecasting under extreme events.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Sadi: A self-adaptive decomposed interpretable framework for electric load forecasting under extreme events

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.258469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation dd8759c9-b503-4750-94db-226798b5892e · outbound

This paper cites Large Language Models are Few-Shot Health Learners.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Large Language Models are Few-Shot Health Learners

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.115560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 20a8928f-3841-4013-8fa7-7322c835a595 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.260638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0d616ca7-949f-4cd1-8a9f-131579c2ca50 · outbound

This paper cites Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.123255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1077d97c-0767-4964-8f64-921fc22ec9bf · outbound

This paper cites The m3-competition: results, conclusions and implications.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models The m3-competition: results, conclusions and implications

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.263195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0c68ed80-bce8-4874-8e56-9e64a3cfa17e · outbound

This paper cites The m4 competition: Results, findings, conclusion and way forward.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models The m4 competition: Results, findings, conclusion and way forward

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.265301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation dbb9790f-e28e-4f71-ac78-4b17e9796327 · outbound

This paper cites Reprogramming pretrained language models for antibody sequence infilling.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Reprogramming pretrained language models for antibody sequence infilling

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.267763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b71becd4-f180-44e3-b2a1-0fa64619b519 · outbound

This paper cites Large language models as general pattern machines.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Large language models as general pattern machines

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.270034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c8c7f2f2-686b-4f64-8bf6-89c97da7c675 · outbound

This paper cites Uncovering the Hidden Cost of Model Compression.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Uncovering the Hidden Cost of Model Compression

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.079572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation be39342d-244a-4d9a-9d07-521575dc43c2 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models A time series is worth 64 words: Long-term forecasting with transformers

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.272615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f171c11a-d041-40c4-9611-5bc3844a44cf · outbound

This paper cites Gpt-4 technical report.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Gpt-4 technical report

Reference 104

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.274717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f5a6a098-8e37-445c-9c87-1bffff3d163c · outbound

This paper cites N-beats: Neural basis expansion analysis for interpretable time series forecasting.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models N-beats: Neural basis expansion analysis for interpretable time series forecasting

Reference 105

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.277239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b2390ebe-b87e-412f-9de6-7111d5af5eb4 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Pytorch: An imperative style, high-performance deep learning library

Reference 106

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.279428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 60a5fad6-c847-40ac-9f2c-7efbc0c17f30 · outbound

This paper cites Language models are unsupervised multitask learners.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Language models are unsupervised multitask learners

Reference 107

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.282415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 8c5dc740-ff9d-4599-94d7-270061cc536b · outbound

This paper cites Climate modeling.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Climate modeling

Reference 108

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.284615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 839ae4ab-99d6-44f3-813a-731cc162d350 · outbound

This paper cites Domain adversarial spatial-temporal network: a transferable framework for short-term traffic forecasting across cities.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Domain adversarial spatial-temporal network: a transferable framework for short-term traffic forecasting across cities

Reference 109

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.287291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 19ad8b55-b3bc-41cb-9c62-a5f6679ac4e4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 110

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:03:17.126436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 9f2634aa-c536-4e35-a092-0629df2d1fc2 · outbound

This paper cites Multimodal few-shot learning with frozen language models.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Multimodal few-shot learning with frozen language models

Reference 111

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.289718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation dcb38680-a020-4b39-ac69-8dceaf66497f · outbound

This paper cites Attention is all you need.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Attention is all you need

Reference 112

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.292139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 243b51b4-cff2-402e-822c-cb6424f3bc5e · outbound

This paper cites Reprogramming language models for molecular representation learning.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Reprogramming language models for molecular representation learning

Reference 113

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.294425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 64368eba-03fb-49db-b11a-da1efbe1789c · outbound

This paper cites Enhancing Recommender Systems with Large Language Model Reasoning Graphs.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Enhancing Recommender Systems with Large Language Model Reasoning Graphs

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.067052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 79bd5393-d117-4845-9525-53cffafd462a · outbound

This paper cites Transformers in time series: A survey.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Transformers in time series: A survey

Reference 115

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.296888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation eebc9089-1c4e-4257-9fc7-175817ce30c2 · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.075659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 3f458c21-14cd-4200-a49f-abd206ea857a · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 117

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:03:17.299388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Pith citing papers

Observation 62d4de08-3fae-456b-a127-6e0346830539 · inbound

Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.

Deep Time Series Models: A Comprehensive Survey and Benchmark Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 214

Resolution: verified exact; local_arxiv, observed 2026-05-23T23:05:51.391083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2cb2a984-1ad1-4dcc-8dda-08e99d04e375 · inbound

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis cites this paper.

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-23T19:45:47.175326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 94e78e26-76d5-44c9-93ee-edddb2a3a08e · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:12:28.735325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f78dc4c8-4c5e-4065-b7d9-684dda638c16 · 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 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:22:14.195952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 03603947-2ee7-4268-8f48-a2800fc4cc86 · inbound

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting cites this paper.

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T19:22:49.089268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 70f60b47-bbfa-4a5d-a211-9f54500d66e0 · inbound

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

BEDTime: A Unified Benchmark for Automatically Describing Time Series Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:56:46.041459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 828943fa-8730-4efa-b379-49f40f5908b6 · inbound

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning cites this paper.

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-18T16:01:34.623537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation db5eec30-8e1e-46c3-ba1c-b9ef53f4b101 · inbound

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models cites this paper.

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-22T12:36:32.553445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7957129a-eb79-49bb-a22e-f29eb0512875 · inbound

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence cites this paper.

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.158059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 255184d5-d341-4414-b2a6-329cdd004d8b · inbound

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting cites this paper.

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T23:10:26.152331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2c7138b8-285a-4959-bc5f-5188051e9018 · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:39:03.419134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f72d786b-76e5-4f33-b02a-d1afa4c3d7fc · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-21T18:20:29.031745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1d3d80f8-4c79-4b7b-ba1b-0261dabb05f3 · inbound

Is Flow Matching Just Trajectory Replay for Sequential Data? cites this paper.

Is Flow Matching Just Trajectory Replay for Sequential Data? Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 55a393f1-18e8-49b0-bf26-9e1bdf0959d3 · inbound

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning cites this paper.

TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoning Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e645a967-8ab5-40c8-9332-5fc080f3db8f · inbound

Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates cites this paper.

Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 3154ba0e-9cb1-446f-8168-5758e2ceddad · inbound

Overcoming the Modality Gap in Context-Aided Forecasting cites this paper.

Overcoming the Modality Gap in Context-Aided Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c2f41962-7d67-4e22-9301-a32995e5a6c8 · inbound

Uncertainty-Aware Foundation Models for Clinical Data cites this paper.

Uncertainty-Aware Foundation Models for Clinical Data Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 515a4e98-f1dd-47e3-b2ee-123d2635eedb · inbound

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR cites this paper.

Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-13T11:03:20.369425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae43403b-32b6-4a75-9902-168bdce5b2cd · inbound

Discrete Prototypical Memories for Federated Time Series Foundation Models cites this paper.

Discrete Prototypical Memories for Federated Time Series Foundation Models Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 89c66de8-15b4-4ed5-ba76-c5be9dbb13dd · inbound

Semantic Communication with an LLM-enabled Knowledge Base cites this paper.

Semantic Communication with an LLM-enabled Knowledge Base Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation d439a242-a526-445c-8753-a96fee85bc9d · inbound

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale cites this paper.

TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e09e27aa-b63d-40ee-a88c-930d30530f0e · inbound

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics cites this paper.

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f2d5d122-5726-4de2-b3c0-8b35bff0b34e · inbound

CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting cites this paper.

CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 54f22aaa-d9ce-4cd0-8111-649ebf2569a3 · inbound

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction cites this paper.

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation a59f234e-82f0-4fb6-a457-dc6c2130a518 · inbound

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework cites this paper.

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 93a868d6-afcc-4746-bd5c-ce8dd8301cbc · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5a293dbe-2979-4154-9037-9f815ee6940f · 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 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 75f195dc-dda3-4437-beb0-0d492c20c0e2 · inbound

GazeMind: A Gaze-Guided LLM Agent for Personalized Cognitive Load Assessment cites this paper.

GazeMind: A Gaze-Guided LLM Agent for Personalized Cognitive Load Assessment Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 10097777-a92d-4b0c-934d-747ba9af81cb · inbound

Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts cites this paper.

Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 71ab5a3e-cd21-443f-8ef2-4d3b1b47002d · inbound

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions cites this paper.

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:03:17.367885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation ad88431c-b7a3-41e5-85ee-c6d273db8394 · inbound

Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning cites this paper.

Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:55:04.627157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e6e90aac-76d4-41e3-87cb-5bcdd27db7ff · inbound

TailedTS: Benchmark Dataset for Heavy-Tailed Time Series Prediction and Periodicity Quantification cites this paper.

TailedTS: Benchmark Dataset for Heavy-Tailed Time Series Prediction and Periodicity Quantification Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:43:51.265271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6a341ec9-774b-4794-8541-0ad76495f240 · inbound

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density cites this paper.

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T14:43:22.404673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4e3c9df0-16d6-437b-9d3f-dc59e55c9556 · inbound

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health cites this paper.

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T06:13:59.533507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f1209a26-00a8-4075-9e36-a1d3888b55ad · inbound

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs cites this paper.

Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-22T07:16:12.913138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 06e84cec-9652-4cd4-81c4-1eeb125fde2e · inbound

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding cites this paper.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:23:59.919463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fc83ea9b-fe4a-4bc4-9b53-2ddd530a477f · inbound

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models cites this paper.

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T16:44:56.256501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation abe6c9fe-911b-40d1-b133-b6b5d8dfe06e · inbound

Bridging the Last Mile of Time Series Forecasting with LLM Agents cites this paper.

Bridging the Last Mile of Time Series Forecasting with LLM Agents Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:06:20.444339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4ed5b972-2544-4e7d-b5a4-d34f45d87315 · inbound

CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting cites this paper.

CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:26:45.877370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e4767563-449c-4b3f-855e-aec56d9f2707 · inbound

EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts cites this paper.

EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T09:06:49.114784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7ddf3365-b795-4404-9cb9-6d609a7b6308 · inbound

Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models cites this paper.

Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.045021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f7283cbc-3dbf-4aee-895c-c5d130f11208 · inbound

Building Social World Models with Large Language Models cites this paper.

Building Social World Models with Large Language Models Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T09:07:47.530755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 81780c1f-5a6b-46b8-bfa6-f38d468a1e6c · inbound

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning cites this paper.

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:58:02.659640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 150a1e9d-4ac9-40a9-a166-236cbba0bc8b · inbound

TriMotion: Modality-Agnostic Camera Control for Video Generation cites this paper.

TriMotion: Modality-Agnostic Camera Control for Video Generation Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:19:31.282522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation bfa1f2f9-67e8-4ffb-9dd1-d597fc890c59 · inbound

AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs cites this paper.

AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:09:54.467310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation a58cf285-04fd-4237-98ae-8d9de559b7c4 · inbound

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting cites this paper.

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T13:19:50.471853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6d6fae2d-ba88-4549-862a-24cb51ff1859 · inbound

Pretrained Time-Series Foundation Models for Financial Return Forecasting cites this paper.

Pretrained Time-Series Foundation Models for Financial Return Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:29:56.370363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 2af6aed2-6fff-40d7-9034-72be957122b4 · inbound

EVOTS: Evolutionary Transformer Search for Time Series Forecasting cites this paper.

EVOTS: Evolutionary Transformer Search for Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:57:19.187186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 35ff901c-68ec-42c7-9963-be0055d99998 · inbound

Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics cites this paper.

Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T17:28:44.056604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation a4539b78-f4e6-45be-9d3f-99e79a2e7930 · inbound

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference cites this paper.

LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T16:35:10.195420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cfcb5a80-10b4-445d-80b6-5169c2d95960 · inbound

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting cites this paper.

LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T01:17:44.680264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4e352b29-7294-4757-b9ba-f2cfb7ac9fea · inbound

RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting cites this paper.

RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T10:57:05.510725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b36a763b-6cdd-4d99-af7a-2102dc307c48 · inbound

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning cites this paper.

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T05:38:27.357469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 796f1d0d-309c-4f42-a3f3-fb5cdaabdfcc · 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 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 18

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.