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Paper Citation Record · LEDGER

AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.17924.

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

pith.paper-citation-record.v1
2411.17924 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:10:00.068207Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T12:10:00.126565Z

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 9b3cfbc7-19a9-4636-a7b7-484da9ecd4d4 · inbound

Model Human Learners: Computational Models to Guide Instructional Design cites this paper.

Model Human Learners: Computational Models to Guide Instructional Design AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:10:00.135080Z

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=arxiv_source observed=2026-08-09T12:10:00.068207Z digest=sha256:3c41578962f289032032f202a8cec41f323d0de7b6363a91ee3d5528468177d3

Observation 2b5ee950-efed-481e-aac0-2aabd5007a95 · inbound

Knowledge Distillation for Automated AI Tutor Evaluation cites this paper.

Knowledge Distillation for Automated AI Tutor Evaluation AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T10:14:47.847705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T10:14:47.847705Z digest=sha256:57b196796dfeef408ae7f52e2c1ee9f21d12eeee84a243fddf8d27788ed791cb