Pith. sign in

Paper Citation Record · LEDGER

An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.15577.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.15577 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:09:17.446181Z

measured 0 of 1 external citation measurements

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 b6fec491-e674-4a07-99a1-c44a7e05f0cb · inbound

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs cites this paper.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.446181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.446181Z digest=sha256:5ef04b199ea40fc8722f28350b09c0444128b0e88d86173dc36b07cd919bf609

Observation 4cdc4dee-4f3b-4152-98f3-c626f3305c25 · inbound

Can Large Language Models Reason about the Region Connection Calculus? cites this paper.

Can Large Language Models Reason about the Region Connection Calculus? An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T06:06:07.553016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T06:06:07.553016Z digest=sha256:01a9217d9d2a5d949da0d9ce4592beb07aefab48d10298579e3927344942ce9e

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.

source=arxiv_source observed=2026-08-07T15:08:07.830861Z digest=sha256:aac03625b055ed8f92459c01a5c580951988f56a4238735043997fd03b81cf7e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T11:18:08.326304Z digest=sha256:00615eb7777097f038fa1073a7a7555cb0d4f5e3f84e661de2cc9701f0505cb6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-01T05:41:46.057986Z digest=sha256:9769695898646d1c553bcbea31067426523f939ab342d2fdce75819cc6d93cbd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-03T22:28:24.036122Z digest=sha256:58eff23e861e30f00aeb6175cda4b60a143dbf95f6850b61874628e776ef2193