Paper Citation Record · LEDGER

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2502.04395.

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

pith.paper-citation-record.v1
2502.04395 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:14.849109Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:56:10.514464Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

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 e18a73ec-32c2-41bf-b9df-3d3d52a2e65a · inbound

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? cites this paper.

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:14.849109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad1b41af-61d1-4385-8a96-a8b5c65eb412 · 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 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.689489Z

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.

Observation ac147497-18ee-4ddc-9581-83e7aa0bd14e · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:09.656293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4551f998-3eef-4208-ac2a-c1fa5d897850 · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 233

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:11.479836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9b4a7a-f47a-4fa7-bb86-feef2bb99b15 · inbound

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

Diffusion Models for Time Series Forecasting: A Survey Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:46.131138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64262374-5624-4138-ab36-ae256c787937 · inbound

Watermarking Large Language Model-based Time Series Forecasting cites this paper.

Watermarking Large Language Model-based Time Series Forecasting Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T13:21:26.315762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708f493d-fa75-4949-879b-c5ed5b98eb1a · inbound

CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text cites this paper.

CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T10:10:57.603925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c3b664-f50e-4946-9d43-58e4964810a4 · inbound

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting cites this paper.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T10:15:45.765078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9924f67-23dd-40f4-9cfe-8fa41850b3dc · inbound

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

BEDTime: A Unified Benchmark for Automatically Describing Time Series Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:56:46.011188Z

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.

Observation ee286e24-a9fc-43e8-9fb3-fed7e492552f · inbound

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering cites this paper.

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:11:09.643438Z

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.

Observation 241f4525-e6bf-4da0-a90c-52dd35754ea0 · inbound

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

Overcoming the Modality Gap in Context-Aided Forecasting Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:30:00.182631Z

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.

Observation fab0107a-3762-4ba3-87eb-a9895a25dfc7 · inbound

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

Overcoming the Modality Gap in Context-Aided Forecasting Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T18:22:23.598666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e1f06a5-3fd4-473b-af86-27ea7c9bdbf6 · inbound

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

Discrete Prototypical Memories for Federated Time Series Foundation Models Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:51.881363Z

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.

Observation 5f41eeb9-1655-4ae5-b905-d6aa66b935e8 · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:25.228249Z

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.

Observation 343966be-8b87-495c-a4ff-426d8989ccfe · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.274378Z

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.

Observation 2ef25e4e-0cfb-486b-badc-a05ba4486863 · 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-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:13:30.332412Z

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.

Observation 6c80472e-d300-4fb1-a14a-744a1abfa695 · inbound

STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy cites this paper.

STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.663585Z

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.

Observation 1d140e72-5d1a-4e0f-bd63-a8064a95bd69 · 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-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:23:59.922789Z

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.

Observation b1ef0f6f-54ab-47c2-b895-b650df1c44c2 · inbound

VESTA: Visual Exploration with Statistical Tool Agents cites this paper.

VESTA: Visual Exploration with Statistical Tool Agents Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:56:10.515880Z

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.

Observation 0ada7a79-3d65-4229-98a3-f5b4ce2f0518 · inbound

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

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 41

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 f00a7f7a-cd43-4b67-9ff7-14a765116739 · inbound

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

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T07:51:14.811916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.