Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompting Large Vision-Language Models for Compositional Reasoning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.11337.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:04:12.637091Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T15:17:07.291132Z
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 2bace9af-1f63-4f5b-b33a-496613c7bf2a · inbound
Visual Compositional Tuning cites this paper.
Visual Compositional Tuning Prompting Large Vision-Language Models for Compositional Reasoning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:41:53.199602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6b4550c7-fbbd-4273-9f3e-a72d244db6f8 · inbound
Demystifying ChatGPT: How It Masters Genre Recognition cites this paper.
Demystifying ChatGPT: How It Masters Genre Recognition Prompting Large Vision-Language Models for Compositional Reasoning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:04:12.637091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5364b5d-9d1a-4542-b5e7-5f6b87895497 · inbound
Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval cites this paper.
Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval Prompting Large Vision-Language Models for Compositional Reasoning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T15:17:07.292482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.