Paper Citation Record · LEDGER

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.10083.

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

pith.paper-citation-record.v1
2505.10083 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:23:12.241660Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:34:14.424771Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy28
unresolved20
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3247edcc-7513-47c6-86f4-50b2a5759b65 · outbound

This paper cites Chronos: Learning the Language of Time Series.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Chronos: Learning the Language of Time Series

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:11.994441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a634126-f980-4bc6-8607-3bd606d67069 · outbound

This paper cites an unresolved cited work.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:23:13.221717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93e6d8d1-d8f3-47e6-a1b6-3ee543a1a17a · outbound

This paper cites an unresolved cited work.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:23:13.204959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 08aa1236-12da-4829-8318-f28c6b6b72dd · outbound

This paper cites TimeSeriesExam: A time series understanding exam.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data TimeSeriesExam: A time series understanding exam

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.011971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07de0964-a05b-4bcd-8df8-cecee8a29076 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.017605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4ff7a0-3209-49f5-a78e-317dc430acc0 · outbound

This paper cites Terra: A multimodal spatio-temporal dataset spanning the earth.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Terra: A multimodal spatio-temporal dataset spanning the earth

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.186724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ea49274-4e81-4069-9c61-f30d4109fedf · outbound

This paper cites an unresolved cited work.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:23:13.168332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01de04c9-68fa-4640-88a7-b2a959c8b258 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data A decoder-only foundation model for time-series forecasting

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.152184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d659a40-6937-4719-8212-dce23965b657 · outbound

This paper cites Gifford, Chandra Reddy, and Jayant Kalagnanam.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Gifford, Chandra Reddy, and Jayant Kalagnanam

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.135307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef6db419-4305-4ba9-9d39-40b1ab1eef47 · outbound

This paper cites ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.044258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adf055f3-3fda-44e4-9f60-d12071e72ee1 · outbound

This paper cites Evaluating large language models on time series feature understanding: A comprehensive taxonomy and benchmark.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Evaluating large language models on time series feature understanding: A comprehensive taxonomy and benchmark

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.118862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 38c66737-8eea-4983-a85e-be2883c77e65 · outbound

This paper cites Webb, Rob J.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Webb, Rob J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.101514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6db6b3ad-a965-47d0-8a78-7ed67bb69fb6 · outbound

This paper cites Moment: A family of open time-series foundation models.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Moment: A family of open time-series foundation models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.060127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04667453-be27-43b4-a9c0-2158dd4def04 · outbound

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

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Large language models are zero-shot time series forecasters

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.072190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2f9d0739-7013-4cc2-9b37-11487baf8dd2 · outbound

This paper cites Towards responsible and reliable traffic flow prediction with large language models.arXiv, 2404.02937, 2024.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Towards responsible and reliable traffic flow prediction with large language models.arXiv, 2404.02937, 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.069984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6583537f-85b3-4eb9-86b7-ff89259086b4 · outbound

This paper cites CATN: cross attentive tree-aware network for multivariate time series forecasting.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data CATN: cross attentive tree-aware network for multivariate time series forecasting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.052165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3866ec90-af18-4523-8ac1-107623907c76 · outbound

This paper cites Instance-based deep transfer learning with attention for stock movement prediction.Applied Intelligence, 53, 2023.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Instance-based deep transfer learning with attention for stock movement prediction.Applied Intelligence, 53, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.035672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 19452e40-dead-4d42-a619-c15c1994c647 · outbound

This paper cites Long short-term memory.Neural Computation, 9, 1997.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Long short-term memory.Neural Computation, 9, 1997

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:13.018031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 202fa789-033f-4e7c-b079-455c1acfe35e · outbound

This paper cites The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.089899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf906cb-7edc-40ba-921b-6b86c0851203 · outbound

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

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, and Qingsong Wen

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.999414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 553a744b-b50b-4eb4-9fb1-ea93c1ca7755 · outbound

This paper cites Towards editing time series.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Towards editing time series

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.981893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 522c6daa-0054-4426-8f17-babb035afd77 · outbound

This paper cites Visual instruction tuning.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Visual instruction tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.105348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6351d2c2-8ffb-4e68-8adf-e5a9ced6e0e8 · outbound

This paper cites A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.110056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a5a0ee-a292-4b4e-ba82-0313703408c7 · outbound

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

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, and B

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.952692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4dfa0e1c-49be-4210-a7e3-e4ce5a5db9da · outbound

This paper cites Aditya Prakash.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Aditya Prakash

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.935654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9870cbf8-fea6-4694-9545-2b0123a270f5 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data itransformer: Inverted transformers are effective for time series forecasting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.125306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb5ca680-50c7-4182-96b5-a45986fe7105 · outbound

This paper cites Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, and Tim Althoff.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, and Tim Althoff

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.906769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f241e348-28d8-4073-8589-fb78134b5c4b · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.135423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f68e0c54-14ae-43c2-9d19-30c65891dd22 · outbound

This paper cites S2IP-LLM: semantic space informed prompt learning with LLM for time series forecasting.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data S2IP-LLM: semantic space informed prompt learning with LLM for time series forecasting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.878396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f4aea09-62ac-4f3b-97cf-674f9da15c54 · outbound

This paper cites Pedregosa, G.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Pedregosa, G

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.862102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5f2e6bb-8c35-4b9d-a626-2b002554959c · outbound

This paper cites Vale, and José Silva.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Vale, and José Silva

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.846006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fa9ce22c-bbbc-4113-bc19-741bce368c2a · outbound

This paper cites Learning transferable visual models from natural language supervision.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Learning transferable visual models from natural language supervision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.828523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 926802bf-4cc7-46d4-b81a-6fd54448b244 · outbound

This paper cites Salem, Karan Kathuria, Heri Ramampiaro, and Helge Langseth.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Salem, Karan Kathuria, Heri Ramampiaro, and Helge Langseth

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.810734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4d637af-c685-4174-b2ed-c765f80819f2 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 34

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Source-reported events for the cited work

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Observation 97b68728-b0df-4016-acd0-899269740384 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.170388Z

Source-reported events for the cited work

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Observation b39f0620-91b9-4a77-b62b-e9c2ea1ade82 · outbound

This paper cites GPT-4 Technical Report.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data GPT-4 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.175531Z

Source-reported events for the cited work

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Observation 1c164937-0be7-4740-a9b5-12a8231e4d02 · outbound

This paper cites Openai o3-mini, 2025.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Openai o3-mini, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.792830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c4fec89-47be-43bd-8a89-c38d789e51b1 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, 2025.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Qwq-32b: Embracing the power of reinforcement learning, 2025

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.773315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f33c276b-617c-4e60-94aa-bddf7e8f982e · outbound

This paper cites Chattime: A unified multimodal time series foundation model bridging numerical and textual data.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Chattime: A unified multimodal time series foundation model bridging numerical and textual data

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.756507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6e7fa4c-e8ef-416b-a830-7f5458e75420 · outbound

This paper cites MICN: multi-scale local and global context modeling for long-term series forecasting.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data MICN: multi-scale local and global context modeling for long-term series forecasting

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.738892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 245eb8ec-64d6-4338-8270-970ebd80ce67 · outbound

This paper cites Context is Key: A Benchmark for Forecasting with Essential Textual Information.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.200178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c8378e-b254-49c5-b304-d1ee3c4df790 · outbound

This paper cites Unified training of universal time series forecasting transformers.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Unified training of universal time series forecasting transformers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.721679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4413ff6-921e-4a1d-9e12-62ffcbb90ee8 · outbound

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

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.703517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ba85822-ec39-4a49-a9dd-a3f5cc7994f5 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.216700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17210542-574c-4f82-97a5-dd02309f1eae · outbound

This paper cites Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T21:23:12.221661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c90107b5-c025-4c32-9ca8-245b161774ca · outbound

This paper cites Are transformers effective for time series forecasting? InAAAI Conference on Artificial Intelligence, 2023.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Are transformers effective for time series forecasting? InAAAI Conference on Artificial Intelligence, 2023

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.674412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8003b822-ff6c-4d92-b0ee-de852975b288 · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.657796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c42443d-3052-43c3-85b5-122e8f6b2af4 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:23:12.640587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6deb9244-c957-4731-a434-6973e4de7a4c · outbound

This paper cites Keep Unchanged.

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Keep Unchanged

Reference 49

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T21:23:12.348119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation b9f02de0-2989-46d0-ac45-a1d30243c9b1 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data

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