Paper Citation Record · LEDGER

Mathematical Capabilities of ChatGPT

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2301.13867.

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

pith.paper-citation-record.v1
2301.13867 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:32:42.216619Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

298
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 140e9343-6b59-4a9b-8b8a-906ff582bc76 · inbound

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT cites this paper.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Mathematical Capabilities of ChatGPT

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:16.846967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70be12cb-08d0-4486-8432-d941f5745657 · inbound

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models cites this paper.

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Mathematical Capabilities of ChatGPT

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:59:45.351875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6411cf81-1f8d-41b7-84f9-2e3ff147d37e · inbound

Code Simulation as a Proxy for High-order Tasks in Large Language Models cites this paper.

Code Simulation as a Proxy for High-order Tasks in Large Language Models Mathematical Capabilities of ChatGPT

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T04:32:42.216619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 716d4f95-1bef-4b74-95a4-4407ef8de061 · inbound

The Status Quo and Future of AI-TPACK for Mathematics Teacher Education Students: A Case Study in Chinese Universities cites this paper.

The Status Quo and Future of AI-TPACK for Mathematics Teacher Education Students: A Case Study in Chinese Universities Mathematical Capabilities of ChatGPT

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:35:15.040193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1c248fc-330e-4a39-8d3a-82cbc12fcdd6 · inbound

XToM: Exploring the Multilingual Theory of Mind for Large Language Models cites this paper.

XToM: Exploring the Multilingual Theory of Mind for Large Language Models Mathematical Capabilities of ChatGPT

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:24.249727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce77bd0a-7837-4a4f-9fcd-ff3e30cd340a · inbound

AbsenceBench: Language Models Can't Tell What's Missing cites this paper.

AbsenceBench: Language Models Can't Tell What's Missing Mathematical Capabilities of ChatGPT

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.686818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d16f0f-f154-4926-b8e1-0abaa8849e37 · inbound

Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy? cites this paper.

Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy? Mathematical Capabilities of ChatGPT

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:01.948774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad6c0ad-3bc1-4196-af83-412f69f1621c · inbound

Can the current trends of AI handle a full course of mathematics? cites this paper.

Can the current trends of AI handle a full course of mathematics? Mathematical Capabilities of ChatGPT

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:33:08.400221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf2b2f5-292e-4961-b9d3-437a3fb5924b · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Mathematical Capabilities of ChatGPT

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:18.731382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0676332-ed6f-4d8e-8ae9-36a5eb372db8 · inbound

Nothing from Something: Can a Language Model Discover 0? cites this paper.

Nothing from Something: Can a Language Model Discover 0? Mathematical Capabilities of ChatGPT

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-27T03:30:27.006554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f34b3cfc-a770-4f4d-bdc6-3904bc7350ea · inbound

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners cites this paper.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Mathematical Capabilities of ChatGPT

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.734592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.