Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.14386.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:49:21.215658Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:58:55.747447Z
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 1398c1f4-bcf3-471e-a076-7d6163343489 · inbound
Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.
Large Language Model based Multi-Agents: A Survey of Progress and Challenges Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:58:55.787422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a3e13fc9-8ceb-4f7b-8cd4-49c0d2b33f0d · inbound
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges cites this paper.
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:49:21.215658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.