Paper Citation Record · LEDGER

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.05200.

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

pith.paper-citation-record.v1
2507.05200 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:34:36.936956Z

measured 34 of 34 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact2
verified fuzzy2
unresolved29
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42834d90-8dac-4fca-9426-09d3162565ad · outbound

This paper cites Ask Me Anything: A simple strategy for prompting language models.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Ask Me Anything: A simple strategy for prompting language models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:34.401058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e400457-aa89-468c-887b-2c12dd13c256 · outbound

This paper cites Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:34.465464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94857e75-89c2-405e-b321-1c7072033fd0 · outbound

This paper cites Multi-lingual Evaluation of Code Generation Models.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Multi-lingual Evaluation of Code Generation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:34.587748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2c1193e-e84a-4bef-87cb-ee866b6b1cec · outbound

This paper cites Program Synthesis with Large Language Models.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Program Synthesis with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:34.641267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47114f20-92cc-4003-8498-125011d6b934 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:34.741880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf7a626b-ceb3-40ca-933d-f0a8c0466bee · outbound

This paper cites Evaluating Large Language Models Trained on Code.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:34.814145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efcf6d32-6da9-4a05-88c6-1afec24a8fd1 · outbound

This paper cites Desmarais, and Hironori Washizaki.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Desmarais, and Hironori Washizaki

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T19:34:37.340879Z

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 dc81ce4a-084f-4da4-821a-d1dd58f1e707 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:39.352104Z

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 e80f39b2-79a5-4510-b2b2-b089273a4e35 · outbound

This paper cites Large Language Models of Code Fail at Completing Code with Potential Bugs.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Large Language Models of Code Fail at Completing Code with Potential Bugs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.060143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c768429-7c37-4279-abd4-f5b6df55d8bf · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.134156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0918e383-3f3b-4ee5-a865-e69a1658997d · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:39.236493Z

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 75f8f441-0abf-4aab-88a3-96da57487db3 · outbound

This paper cites LongCoder: A Long-Range Pre-trained Language Model for Code Completion.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code LongCoder: A Long-Range Pre-trained Language Model for Code Completion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.301605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f755ba13-ba0b-4ff4-ae0d-26109d489abe · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:39.093925Z

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 9a5f0e79-4741-4a17-b5f7-5941c1a62997 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.447758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 895a7964-50a2-4699-95ac-c9b91740f206 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.556691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0120652d-d560-452c-9670-4b6bb437c907 · outbound

This paper cites SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.658724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402467f9-9b53-4321-8615-e29b0bf96d1c · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.716094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e35b5d-b796-4bb1-93ff-3f74db718761 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:38.933154Z

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 0285bc49-176d-4762-8e80-03abfed515ce · outbound

This paper cites How Does Generative Retrieval Scale to Millions of Passages?.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code How Does Generative Retrieval Scale to Millions of Passages?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:35.848800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d2baa49-9322-45b5-b4d5-5c78fdce6103 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:38.804453Z

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 9f94aa85-aa88-47ca-8acc-85de5c08a267 · outbound

This paper cites Robertson, Hugo Zaragoza, and Michael J.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Robertson, Hugo Zaragoza, and Michael J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:34:38.676803Z

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 dde0f452-bfdd-422c-86d6-c3c931a24236 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:38.496558Z

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 8a28d386-ebd3-4d15-a633-93225a0871ff · outbound

This paper cites An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.206618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc1d9cb-3b6d-4ca5-afcb-ac3562d3d217 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:38.336520Z

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 7b71d469-d449-4b16-b7b6-cd222c68b4bf · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:38.194117Z

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 0f4aab9b-5929-47e6-a3da-c71b85a474ce · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T19:34:37.110322Z

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 04ad596d-843f-4dd8-b1cd-94c476bffe0d · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:34:38.049568Z

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 2456b892-a04a-41ba-b68f-a7fbe4f7759f · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.531569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81c18da-0822-4a61-8adb-6f014ce1231b · outbound

This paper cites Repoformer: Selective Retrieval for Repository-Level Code Completion.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Repoformer: Selective Retrieval for Repository-Level Code Completion

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.658831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a07c8c5-fbc5-470e-b934-a9976ecf004c · outbound

This paper cites A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.721432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f43140-ffb4-4a75-b919-c308c0437bbb · outbound

This paper cites Natural Language to Code Generation in Interactive Data Science Notebooks.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Natural Language to Code Generation in Interactive Data Science Notebooks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.781148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 129b1e65-464a-4779-b330-222d14b1c6f8 · outbound

This paper cites an unresolved cited work.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code Unresolved cited work

Reference 32

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:34:37.753681Z

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 bd8878b1-3bcb-4fb3-ba83-47ba142e2d6e · outbound

This paper cites ICE-Score: Instructing Large Language Models to Evaluate Code.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code ICE-Score: Instructing Large Language Models to Evaluate Code

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.936956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2caba2ed-daca-4952-b056-e1cfeef741d1 · outbound

This paper cites In 2022 ACM Conference on Fairness, Accountability, and Transparency.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code In 2022 ACM Conference on Fairness, Accountability, and Transparency

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:34:37.900523Z

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.

Pith citing papers

No inbound Pith citation observations are available.