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Paper Citation Record · LEDGER

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2408.17253.

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

pith.paper-citation-record.v1
2408.17253 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:02:48.351547Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.342934Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2c664f2-25b6-499b-9a1d-d8bce8eec1aa · inbound

LAST SToP For Modeling Asynchronous Time Series cites this paper.

LAST SToP For Modeling Asynchronous Time Series VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.351547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.351547Z digest=sha256:88dff45595cc524233469a4c03024e3e7f181eaf1601c82799ee1e12a32dd10c

Observation 628d0b91-8fb1-4091-8816-ac628b3f2767 · inbound

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting cites this paper.

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 3

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unresolved
no resolver link, observed 2026-08-09T00:44:58.910936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:44:58.910936Z digest=sha256:d032a3120a347b8450eaafbd68406e002c927e7181e6b322f7e59d5eda69568d

Observation 53e4f349-bb19-4e50-b99f-5e1d20287fd5 · inbound

Harnessing Vision Models for Time Series Analysis: A Survey cites this paper.

Harnessing Vision Models for Time Series Analysis: A Survey VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 2020

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unresolved
no resolver link, observed 2026-08-07T23:27:13.053224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:27:13.053224Z digest=sha256:7a6dd9420c77636e0603ab8421c70f164aada8cece4e989d74987eac547aff3f

Observation a0f6636c-9b60-4973-b064-f52dd235850f · inbound

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models cites this paper.

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 6

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unresolved
no resolver link, observed 2026-08-07T14:45:23.717980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:23.717980Z digest=sha256:e0ec7a5d18e600263b6fd96c85026836e3df0e68650c0dc825413950eb71a395

Observation 6bfb6756-49ea-48b9-865d-83176739019e · inbound

Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers cites this paper.

Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:15:59.520658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:59.520658Z digest=sha256:1bd1c6aa1270e7507c81aa8a476811dedf8ae50ca7c2acc74e70f8f884cb699f

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

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

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:24.781049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:24.781049Z digest=sha256:b513e818771c4c9ced6e806f7b99c06e2ab431ddbe3c951b8e4953036e8927bb

Observation d9a51280-c04a-44ac-9c13-94c47c5876af · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 14

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verified exact
arxiv_id, observed 2026-05-19T09:32:16.234358Z

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.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:49e776c1de9a702b9a6957c48c626ac022cd81708a0de43691f1e42cefdce602

Observation 7d40801b-a420-4645-b769-3d40f1106ce2 · inbound

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality cites this paper.

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T10:58:02.342155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:58:02.342155Z digest=sha256:f28fa5f466e69c17c9adfbe4a01168f3a01e21da3d1b8dbe0091bc8ba8c524f5

Observation a1d5051a-a3e2-45c3-9db2-de7a7eb8fec4 · inbound

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting cites this paper.

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:25:34.167188Z

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.

source=arxiv_source observed=2026-05-25T08:22:24.238459Z digest=sha256:f1a153b13ab48a676ab3012eb36e04a0fbe0556382d282ac1c2db309139e2e70

Observation cc083a5a-2426-4131-86c1-64a8d39e3da5 · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 175

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metadata mismatch
arxiv_id, observed 2026-07-03T17:38:43.344407Z

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.

source=arxiv_source observed=2026-07-03T17:34:37.552706Z digest=sha256:445d9ea574a3cc4cb1831f984fff6aad429bcece125de12f39d910f15693ab88

Observation 80cb0d04-bbd5-4162-80fe-fcf6c3c1c1a5 · inbound

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

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:38:27.357469Z digest=sha256:71354f896adf2a97f299ae695d5cb1fb9458e313e9d14094f623bfb95f5bd5c1

Observation 23909df9-a53f-4ef1-ab81-a0061a003ec1 · inbound

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

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T07:51:12.170031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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