Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.15577.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:07.830861Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T22:28:59.699716Z
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 cf55a0d3-cc2d-4bfb-b62a-2052af84327a · inbound
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:07.830861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9ca220d-4362-4b2f-9bde-6cce6986087a · inbound
QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi cites this paper.
QSTRBench: a New Benchmark to Evaluate the Ability of Language Models to Reason with Qualitative Spatial and Temporal Calculi An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:18:13.614454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f0782bc1-b2e4-4a32-bad6-5bab89943d3c · inbound
Spatial Reasoning via Modality Switching Between Language and Symbolic Representation cites this paper.
Spatial Reasoning via Modality Switching Between Language and Symbolic Representation An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:15:44.486831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c1cbcb0-2078-41d1-a704-f50377795946 · inbound
Spatial Reasoning via Modality Switching Between Language and Symbolic Representation cites this paper.
Spatial Reasoning via Modality Switching Between Language and Symbolic Representation An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T22:28:59.701878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.