Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.19654.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:45:30.017006Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 95b03a51-b9bb-421b-9dc0-138cac9c180d · inbound
Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models cites this paper.
Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T19:48:11.655429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9cc76101-e41c-4546-ad0e-7f4c909685d2 · inbound
Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models cites this paper.
Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language Models RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:52:01.066411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40de429d-8875-4e1b-a884-5e91ca1730c1 · inbound
Lightweight Multimodal Adaptation of Vision Language Models for Species Recognition and Habitat Context Interpretation in Drone Thermal Imagery cites this paper.
Lightweight Multimodal Adaptation of Vision Language Models for Species Recognition and Habitat Context Interpretation in Drone Thermal Imagery RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T19:30:46.373851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b94aa285-9c8e-4c8c-b5ce-da8c13e874e2 · inbound
Thermo-VL: Extending Vision-Language Models to Thermal Infrared Perception cites this paper.
Thermo-VL: Extending Vision-Language Models to Thermal Infrared Perception RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:54:43.065980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4f11923a-16a8-4e50-9d53-7d019c42aba9 · inbound
FusionRS: A Large-Scale RGB-Infrared-Style Remote Sensing Dataset for Cross-Modal Vision-Language Learning cites this paper.
FusionRS: A Large-Scale RGB-Infrared-Style Remote Sensing Dataset for Cross-Modal Vision-Language Learning RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:45:30.017006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4925424b-3398-4268-b47f-1d722f439f5e · inbound
Generalize LMMs to Versatile Visual Modalities via Fabricated Modality Synthesis cites this paper.
Generalize LMMs to Versatile Visual Modalities via Fabricated Modality Synthesis RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T12:45:30.225562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.