Paper Citation Record · LEDGER

Large Language Models (GPT) for automating feedback on programming assignments

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.00150.

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

pith.paper-citation-record.v1
2307.00150 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:43.140773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.554510Z

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 a06d307e-ca2e-40a3-a4b7-95e8812682cf · inbound

Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools cites this paper.

Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools Large Language Models (GPT) for automating feedback on programming assignments

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:43.140773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2ab289-0762-493b-90b0-e63b3c5e98f2 · inbound

Reflection-Satisfaction Tradeoff: Investigating Impact of Reflection on Student Engagement with AI-Generated Programming Hints cites this paper.

Reflection-Satisfaction Tradeoff: Investigating Impact of Reflection on Student Engagement with AI-Generated Programming Hints Large Language Models (GPT) for automating feedback on programming assignments

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T06:40:54.695685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd5f99c2-807d-447b-9598-b81b288405d4 · inbound

Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education cites this paper.

Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education Large Language Models (GPT) for automating feedback on programming assignments

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:41:03.444572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96e9cf4b-687c-4ae1-ae7e-95f8cd983a87 · inbound

The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance cites this paper.

The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance Large Language Models (GPT) for automating feedback on programming assignments

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:42:46.216677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06e17fb0-1f16-44a7-b284-b27e146aecf6 · inbound

Leveraging BART to Assess CS1 C++ Programming Assignments using Rubric-based Criteria cites this paper.

Leveraging BART to Assess CS1 C++ Programming Assignments using Rubric-based Criteria Large Language Models (GPT) for automating feedback on programming assignments

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:46:33.078670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fee989cb-afe8-4ce0-b684-41d32960baf1 · inbound

A Classroom Study of LLM-Generated Feedback Intervention in Introductory Programming cites this paper.

A Classroom Study of LLM-Generated Feedback Intervention in Introductory Programming Large Language Models (GPT) for automating feedback on programming assignments

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:57:28.612630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1631971-1a97-42b0-a28d-db26737953a5 · inbound

AI-Assisted Help-Seeking Trajectories in Programming Education from an SRL-Informed Perspective cites this paper.

AI-Assisted Help-Seeking Trajectories in Programming Education from an SRL-Informed Perspective Large Language Models (GPT) for automating feedback on programming assignments

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:47.555807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.