Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.00647.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:57:58.384880Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T06:01:53.918796Z
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 ca1fe776-dd21-47ac-9020-1be100527f61 · inbound
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cites this paper.
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:01:53.925903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e1e38133-2b9f-452d-94d0-5684037c6629 · inbound
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future cites this paper.
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
Reference 259
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:33:41.537206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e635869-fc1b-4e51-9553-e43277539d36 · inbound
A Data-Centric Approach for Safe and Secure Large Language Models against Threatening and Toxic Content cites this paper.
A Data-Centric Approach for Safe and Secure Large Language Models against Threatening and Toxic Content Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:57:58.384880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.