Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.00784.
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 2026-08-07T13:45:53.573721Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:00:43.120575Z
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 cf14ef7f-11e3-4a74-9ed1-e4f5ea5cb9e4 · inbound
LPOI: Listwise Preference Optimization for Vision Language Models cites this paper.
LPOI: Listwise Preference Optimization for Vision Language Models ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:45:53.573721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2508823-1c46-4071-bbf4-ea4e41a2ca42 · inbound
Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations cites this paper.
Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:31:32.709825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f98d3dc1-595c-4b73-a7b4-724dd6aabe57 · inbound
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding cites this paper.
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T18:00:43.188358Z
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.