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Paper Citation Record · LEDGER

Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.06681.

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

pith.paper-citation-record.v1
2405.06681 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:26:09.723408Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:16:16.734455Z

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 86a03b32-4a79-4652-9062-e80f09d7f6c3 · inbound

Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs cites this paper.

Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:06:44.800870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T10:06:44.712280Z digest=sha256:a924ef272556dc2178bb72ca0ac430ba98bb143614e58995e797cbcf2b97af1c

Observation 4ccfaf66-40c1-49d5-a38f-a5a43cfb6eac · inbound

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain cites this paper.

Evaluating the Performance of RAG Methods for Conversational AI in the Airport Domain Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:26:09.723408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:26:09.723408Z digest=sha256:4791046f152871a28a8028e4982a1a70f684e20fa6ae3c19050aa40b9b45d64b