Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pedagogical Alignment of Large Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.05000.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:49:21.432824Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T21:35:44.894890Z
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 96d6d6a3-f087-418b-a623-c6a2abe9edb7 · inbound
REVA: Supporting LLM-Generated Programming Feedback Validation at Scale Through User Attention-based Adaptation cites this paper.
REVA: Supporting LLM-Generated Programming Feedback Validation at Scale Through User Attention-based Adaptation Pedagogical Alignment of Large Language Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:13:36.218600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcc3e9f9-f38c-43dc-a0cd-298014171c5f · inbound
Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning cites this paper.
Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning Pedagogical Alignment of Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:49:21.432824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10095746-c7b1-45e6-995c-b6006b984c24 · inbound
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation cites this paper.
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation Pedagogical Alignment of Large Language Models
Reference 7517
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T21:35:44.936859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.