Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.13624.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:10:57.600421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T17:08:01.528160Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- 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 85e09ceb-a398-446b-bfe7-f9155f22000c · inbound
CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text cites this paper.
CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:10:57.600421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 638361eb-dff9-4a13-826f-4c3b29f784be · inbound
Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting cites this paper.
Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:08:01.530409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.