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Paper Citation Record · LEDGER

One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.12633.

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

pith.paper-citation-record.v1
2502.12633 v2

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:08.808703Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:57:38.126991Z

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 4a0835f3-60c3-4a25-9304-b5e7d47752f1 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction

Reference 210

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.129052Z

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=2026-05-15T02:57:37.873567Z digest=sha256:b2ebcd0811d3da4ceb0b985e95238877f4a26279645fbd2bccc216a67e9f1e2a

Observation f822498d-5a5e-4aef-a3ce-e9fbc4cff91c · inbound

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration cites this paper.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:08.808703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:08.808703Z digest=sha256:fbdcd4a12870ae5dfb83fae0b5c5603c7bf830daef49529895691640ece65311

Observation 91c987f6-2071-4394-a4ee-fa767461ef73 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction

Reference 218

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:15.146538Z

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=2026-05-14T22:23:14.621091Z digest=sha256:4f1b0386e3293179043af57fb9c458a155d4c1a063a381ca4bc81e552e29f73a