Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.15930.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T00:53:20.749426Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T09:54:34.363302Z
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 87a0a974-f900-43b5-b4e8-7a7afb72d8e2 · inbound
Enhancing LLM Metacognition via Cognitive Pairwise Training cites this paper.
Enhancing LLM Metacognition via Cognitive Pairwise Training WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:02:33.886009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 67e23275-1227-4c0f-9ea2-54dc0da607df · inbound
Agentic Abstention: Do Agents Know When to Stop Instead of Act? cites this paper.
Agentic Abstention: Do Agents Know When to Stop Instead of Act? WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:54:34.365047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f46d6a71-f30f-4a3e-a6e9-16b47e02561d · inbound
MOSAIC: Adaptive Inter-layer Composition for Efficient Heterogeneous Vision-Language Models cites this paper.
MOSAIC: Adaptive Inter-layer Composition for Efficient Heterogeneous Vision-Language Models WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T00:53:20.749426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.