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Paper Citation Record · LEDGER

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.14386.

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

pith.paper-citation-record.v1
2305.14386 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:13:39.942167Z

measured 0 of 1 external citation measurements

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T06:58:54.921355Z digest=sha256:aa1479c6e55bfae77a974803e76134c5ab1f707b82f1a26173200dbdce5b19d8

Observation 9372ff2c-e61f-4134-aae2-57c3c6351d3f · inbound

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation cites this paper.

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T11:13:39.942167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:13:39.942167Z digest=sha256:0cabf632b37ad5f302a5d113d8b9ce33b925c4fd16bec290c36394c1dc966843

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.

source=pdf_text observed=2026-08-06T22:49:21.215658Z digest=sha256:bd2d6f7245ef6a366241e2e129b697b9e4b12e96f29776356ee0cfd748e85929