Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.02439.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:09:45.410752Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-05T13:21:06.156436Z
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 d40721e3-9f7e-405b-b680-7166fa1927e5 · inbound
A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction cites this paper.
A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:09:45.410752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 342fb2de-3f86-4749-a14e-1a8f837005a7 · inbound
Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education cites this paper.
Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:38:51.055281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afc19f4c-7314-4621-9cd6-a4cb2aab273d · inbound
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators cites this paper.
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:47:58.276927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c564059a-0505-49a5-b4e4-62d7239b8fef · inbound
Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning cites this paper.
Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T13:21:06.165544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.