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Paper Citation Record · LEDGER

Mathematical Capabilities of ChatGPT

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:27:24.249727Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T07:09:16.823590Z digest=sha256:b78c98bc762cd736139a96e4dbdf05c4066f79be058f66dafcd276a416bbc427

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T12:59:45.335118Z digest=sha256:3195acf51327ba18218b2ccef84a01fe410834baf3f84ed0d550de20dedb5d4c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T00:33:14.565669Z digest=sha256:e6b94bf139d09cdd6186c7de29a594df8d607a72b4de6a68d93a889c8eeae43e

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.

source=pdf_text observed=2026-08-07T11:27:24.249727Z digest=sha256:a8c4ee21aaaca8a50dabadeae2ecf818cf5f9ac148df6cd505c768a116a8bd90

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.

source=arxiv_source observed=2026-08-07T04:13:17.686818Z digest=sha256:f613abe1edb730cbf520be40617789fc8b2e2b0ef1d63128a1e073a7ec1c25a7

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.

source=pdf_text observed=2026-08-07T00:23:01.948774Z digest=sha256:fac385b4f6cbf6c0bf2a49aed78f0282f52f77177d32b35a2d1224cecbd971b4

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.

source=pdf_text observed=2026-08-06T12:33:08.400221Z digest=sha256:63d2f49f8f62c561955f4097c4ed41569f5a1f2304d6a9e1a64a4d921a5bbb02

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:28170d57ccb9d523fe92a63aab3548785c9e0938af1bccd60c84023bc2de845d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T03:23:19.093035Z digest=sha256:ae00c3260874f12e8554db14aeaf66b77d2c23571adab25fb17948f5ef8f6396

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:13:55.624609Z digest=sha256:7707985e4c73d45abcb7fd14eb94c8bd1808f13332ec54e94e0d5c9c719c85ac