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Paper Citation Record · LEDGER

How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.11719.

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

pith.paper-citation-record.v1
2312.11719 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:06:32.920731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:33:16.012252Z

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 d0086d15-07b6-487a-a443-4b55f73a8a8b · inbound

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering cites this paper.

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:33:16.014865Z

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=2026-05-23T17:30:20.359630Z digest=sha256:d50f40f74833d73ddeaa039469dcf6a3bd3e47f8e6b79fbf395a367275c68bf7

Observation 0fd3cc09-08be-43a3-a941-50002446f525 · inbound

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting cites this paper.

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:32.920731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:06:32.920731Z digest=sha256:f16721bb3d05cf00c59c442baf94a8369ecb10bbfba807af2fe6c9281b73a482