Paper Citation Record · LEDGER

Evaluating In-Context Learning of Libraries for Code Generation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.09635.

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

pith.paper-citation-record.v1
2311.09635 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:45:05.434335Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa183619-2015-455c-bf8c-13ae18526fa2 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation Evaluating In-Context Learning of Libraries for Code Generation

Reference 211

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:18:06.570340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5970bf3b-ee1c-4b82-a8ab-c3b291dde95c · inbound

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models cites this paper.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Evaluating In-Context Learning of Libraries for Code Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.434335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51359d46-4dd4-4848-b293-0153819cf959 · inbound

Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Models cites this paper.

Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Models Evaluating In-Context Learning of Libraries for Code Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:28.495693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b42c351-f2f5-4bc8-b932-922c649f7cfe · inbound

A Study of LLMs' Preferences for Libraries and Programming Languages cites this paper.

A Study of LLMs' Preferences for Libraries and Programming Languages Evaluating In-Context Learning of Libraries for Code Generation

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:55:12.114084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.