Paper Citation Record · LEDGER

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2507.10098.

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

pith.paper-citation-record.v1
2507.10098 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:37.496474Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:48.124101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:25:56.362581Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy5
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5b61cdc-a0eb-46a5-95e7-4a2d955930d9 · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:36.540658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b3bd96-cf7a-4216-82ff-081602def74e · outbound

This paper cites Timer: Generative Pre-trained Transformers Are Large Time Series Models.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Timer: Generative Pre-trained Transformers Are Large Time Series Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:36.834545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c76d31-8948-494c-8713-1e0d36b2ee3a · outbound

This paper cites A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:36.982106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b73c82-ab86-4ec0-a048-655045df510c · outbound

This paper cites Journal of machine learning research, 21(140):1–67.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Journal of machine learning research, 21(140):1–67

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:37.803371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28a5c065-9103-4dba-97c7-135803b052de · outbound

This paper cites Multimodal Conditioned Diffusive Time Series Forecasting.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Multimodal Conditioned Diffusive Time Series Forecasting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:37.277425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac7a50f9-1237-4021-ae0b-ae85976f16e9 · outbound

This paper cites Engineering applications of artifi- cial intelligence, 66:49–59.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Engineering applications of artifi- cial intelligence, 66:49–59

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:38.357114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5437cc7-0ecf-4ffb-9069-64cf0086c8ec · outbound

This paper cites OpenAI blog, 1(8):9.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting OpenAI blog, 1(8):9

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:38.074516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a6ecb98-cbdf-4d84-8f7a-0b6ed2672817 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:36.741142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 433ca1c9-9ba1-48e3-83ad-d9f14e731763 · outbound

This paper cites In International conference on learn- ing representations.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting In International conference on learn- ing representations

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:38.676521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a91e5b74-3ebb-472a-8f3b-7426d862baf3 · outbound

This paper cites Sustain- ability, 14(3):1703.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Sustain- ability, 14(3):1703

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:38.971709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c2df10b-0997-45c6-a123-fb8e6477820e · outbound

This paper cites TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:36.297956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7b7b94-f91c-49fc-b067-05d181a722e4 · outbound

This paper cites Qwen2.5 Technical Report.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Qwen2.5 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:37.496474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c5e2af-2589-464e-867a-18d0c7c7920f · outbound

This paper cites Qwen3 Technical Report.

Fusing Large Language Models with Temporal Transformers for Time Series Forecasting Qwen3 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:37.386048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4a38db45-f39c-496f-b874-5ce54e6dcf46 · inbound

Diffusion Models for Time Series Forecasting: A Survey cites this paper.

Diffusion Models for Time Series Forecasting: A Survey Fusing Large Language Models with Temporal Transformers for Time Series Forecasting

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:48.124101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7865d775-89dc-477a-b8ed-671ff8d8a05e · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting Fusing Large Language Models with Temporal Transformers for Time Series Forecasting

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:25:56.366053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d0d5dad-80e7-4a87-84f3-0633e08be385 · inbound

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting cites this paper.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Fusing Large Language Models with Temporal Transformers for Time Series Forecasting

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:46.544233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.