Paper Citation Record · LEDGER

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2605.29582.

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

pith.paper-citation-record.v1
2605.29582 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:33:08.304252Z

measured 10 of 10 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact2
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3000f7e-ac84-4937-ae77-244041094b7e · outbound

This paper cites Qwen3-VL Technical Report.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning Qwen3-VL Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:33:14.738925Z

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.

Observation d2f8f41e-2e77-4153-9a44-f57f52f7538f · outbound

This paper cites InProceedings of the 2025 Con- ference on Empirical Methods in Natural Language Processing, pages 272–292.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning InProceedings of the 2025 Con- ference on Empirical Methods in Natural Language Processing, pages 272–292

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T08:33:08.304252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7b28c8-c74b-4426-9754-4dbb7940f70a · outbound

This paper cites InProceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 23923–23932.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning InProceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 23923–23932

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T08:33:08.304252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19586291-d4b3-45af-b6ce-08f63bb53bcd · outbound

This paper cites Measuring Massive Multitask Language Understanding.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning Measuring Massive Multitask Language Understanding

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:33:14.751879Z

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.

Observation 14dacad6-f7cf-4f6d-9782-503f70d9006a · outbound

This paper cites Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:14.754768Z

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.

Observation 29d8e33a-37bb-40a2-9f40-5c5a1e4d8a2b · outbound

This paper cites Proximal Policy Optimization Algorithms.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:33:14.744424Z

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.

Observation 5a37e14e-ef3c-4a5d-87a0-e656eef2a8c2 · outbound

This paper cites William Villegas-Ch, Diego Buenano-Fernandez, Alexandra Maldonado Navarro, and Aracely Mera- Navarrete.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning William Villegas-Ch, Diego Buenano-Fernandez, Alexandra Maldonado Navarro, and Aracely Mera- Navarrete

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:14.744993Z

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.

Observation 04ba3fe3-9535-4065-907c-0e2d886f373f · outbound

This paper cites ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:33:14.736181Z

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.

Observation 3e330de0-17bc-4d22-952c-929ae8a0f362 · outbound

This paper cites Qwen3 Technical Report.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning Qwen3 Technical Report

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:33:14.749417Z

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.

Observation 1d70008f-4593-41d5-854f-92ebb7366fcc · outbound

This paper cites Qiannan Zhu, ZeChen Li, Yang Zhang, Xuetao Ma, Wei- hao You, Mei Wang, Ting Zhang, Jinfeng Bai, Jian Li, 11 Hua Huang, and Mi Tian.

PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning Qiannan Zhu, ZeChen Li, Yang Zhang, Xuetao Ma, Wei- hao You, Mei Wang, Ting Zhang, Jinfeng Bai, Jian Li, 11 Hua Huang, and Mi Tian

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T08:33:08.304252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.