Paper Citation Record · LEDGER

A Prompt Learning Framework for Source Code Summarization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.16066.

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

pith.paper-citation-record.v1
2312.16066 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:39:47.217650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:35:18.583478Z

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 62a0f259-9d14-474f-9b2e-bb0abe22b46f · inbound

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking cites this paper.

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking A Prompt Learning Framework for Source Code Summarization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T20:39:47.217650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9dc204e-697b-4863-a2ec-e7b372663023 · inbound

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing cites this paper.

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing A Prompt Learning Framework for Source Code Summarization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T10:27:17.998935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83596e5d-89d5-4826-99b3-b7105e45cb1d · inbound

Resource-Efficient & Effective Code Summarization cites this paper.

Resource-Efficient & Effective Code Summarization A Prompt Learning Framework for Source Code Summarization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T04:23:34.644578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5da453b-111d-42e7-8a01-546e4cd8cd14 · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review A Prompt Learning Framework for Source Code Summarization

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:18.584857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c9d281a-5bc4-4acc-8e6a-a4017b29ba24 · inbound

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows cites this paper.

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows A Prompt Learning Framework for Source Code Summarization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T05:24:45.090529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.