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Paper Citation Record · LEDGER

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 7 inbound Pith citation observations for arXiv:2506.11029.

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

pith.paper-citation-record.v1
2506.11029 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:27.182844Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:28:50.253366Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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

Outbound references

Observation c93bf9e9-ba04-4d9c-ae2b-02005bb97a8f · outbound

This paper cites GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Observation 5e8c1068-65b6-4f8e-ad9a-62aabdd0270c · outbound

This paper cites Beam Search Strategies for Neural Machine Translation.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Beam Search Strategies for Neural Machine Translation

Reference 6

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Observation cbb0fb1c-2df4-4c4b-a3ab-9539708197a2 · outbound

This paper cites MASE = m − s n · Pm+n t=m+1 |ˆxt − xt| Pm−s t |xt − xt+s| , 14 where m in the lookback length, n is the forecasting length, and s is the seasonality parameter.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model MASE = m − s n · Pm+n t=m+1 |ˆxt − xt| Pm−s t |xt − xt+s| , 14 where m in the lookback length, n is the forecasting length, and s is the seasonality parameter

Reference 7

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Observation f505d3c7-268f-4cc7-b390-d40357c4a6e6 · outbound

This paper cites B., Müller, S., Salinas, D., and Hutter, F.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model B., Müller, S., Salinas, D., and Hutter, F

Reference 9

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Observation 25e90a33-e9da-4725-9f16-79c9402842d4 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 11

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Observation b9434aea-435f-4bd7-9d8d-8779b4a4c97e · outbound

This paper cites AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 13

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Observation 57627fee-8860-455c-b06f-e0deb20feae7 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model MTEB: Massive Text Embedding Benchmark

Reference 14

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Observation c995bcc5-8acf-45c7-98c1-288332dfb943 · outbound

This paper cites Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Reference 15

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Observation 37e64f74-ff9f-4059-a22a-51ebe27a5a0e · outbound

This paper cites AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

Reference 16

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Observation 8473a957-5614-4091-ad21-b26fafa65261 · outbound

This paper cites Statistical characterization of business-critical workloads hosted in cloud datacenters.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Statistical characterization of business-critical workloads hosted in cloud datacenters

Reference 18

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Observation a8827f68-4f01-4131-aa1f-f15c1ace975d · outbound

This paper cites Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding

Reference 19

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Observation d85ed1bf-10fd-42a5-b7b2-566f5f7619fd · outbound

This paper cites Attention Is All You Need.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Attention Is All You Need

Reference 20

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Observation eff1fb41-ad21-4ded-b845-4cd08e9ea744 · outbound

This paper cites ISBN 9781450386647.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model ISBN 9781450386647

Reference 21

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Observation 58c6e6fe-54aa-418f-ae14-fe48498396b8 · outbound

This paper cites Do Large Language Models Latently Perform Multi-Hop Reasoning?.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Do Large Language Models Latently Perform Multi-Hop Reasoning?

Reference 22

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Observation e38c8025-9085-4595-b5bd-a10ac35c81a9 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 23

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Observation 7a74f2f5-7b78-4559-b23b-01a1b7a6d385 · outbound

This paper cites Film: Frequency improved legendre memory model for long-term time series forecasting.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Film: Frequency improved legendre memory model for long-term time series forecasting

Reference 24

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Observation 7aa717c8-a067-4cf4-bd98-585cb88ca68e · outbound

This paper cites 2021 Energy 30T 1153584Bitcoin Godahewa et al.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model 2021 Energy 30T 1153584Bitcoin Godahewa et al

Reference 26

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Observation 44fbcf87-cf09-4b11-960d-655814591231 · outbound

This paper cites This presents a scalable ’free lunch’ approach, yielding post-training improvements through simple ensemble averaging.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model This presents a scalable ’free lunch’ approach, yielding post-training improvements through simple ensemble averaging

Reference 27

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Observation ff38e35f-58a8-4028-8e43-25e4f3c590c4 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 2015

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Observation 393ca521-c6e3-4faf-b4c2-5eca766d747a · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2017

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Observation c1300740-f921-4ec2-82bd-c45dba08df68 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 2018

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Observation 0f33a976-d8e1-43e6-bada-9b19322f3363 · outbound

This paper cites GLU Variants Improve Transformer.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model GLU Variants Improve Transformer

Reference 2019

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Observation 193b9e60-b991-491a-87ba-27eaca473ea5 · outbound

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

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Chronos: Learning the Language of Time Series

Reference 2020

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Observation c95c62cf-12b2-47d5-a946-8550c8d81b3d · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 2021

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Observation 03f61c05-3355-4d94-a36f-9cf592d8d069 · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Better & Faster Large Language Models via Multi-token Prediction

Reference 2022

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Observation 90f8543f-282b-4dec-80c3-a35e1ad45f3a · outbound

This paper cites VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 2023

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Observation 1f8e4095-7229-44e9-aa61-38d42e845187 · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 2024

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Pith citing papers

Observation b1c556ef-b905-4aea-9a87-db827c5ea2e8 · inbound

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? cites this paper.

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

Reference 2025

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Observation 744f88d6-e3c5-4d0e-8e47-82f847923173 · inbound

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting cites this paper.

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

Reference 13

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Observation 30cc0ebc-7829-4555-b24e-52b4313fc685 · inbound

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models cites this paper.

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

Reference 47

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arxiv_id, observed 2026-06-28T18:02:27.031883Z

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Observation db36925c-1edb-4f1e-8a0b-1be698ce747d · inbound

CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting cites this paper.

CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

Reference 15

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arxiv_id, observed 2026-07-03T04:27:37.166369Z

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Observation 0630a7b2-d8f3-499a-8218-9eeb2fa2cd27 · inbound

CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting cites this paper.

CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

Reference 15

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Observation 0f471972-2dc5-46bb-b487-9d720c346751 · inbound

TiRex-2: Generalizing TiRex to Multivariate Data and Streaming cites this paper.

TiRex-2: Generalizing TiRex to Multivariate Data and Streaming Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

Reference 53

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arxiv_id, observed 2026-07-02T14:57:03.650557Z

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Observation 44de8157-f98d-4e9d-a5e4-527be5b350cc · 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 Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.109845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T17:23:35.304926Z digest=sha256:10852902aee04484b9e32453b714999c1bbfa0fe50a9fd24c1c815d68a79d621