Paper Citation Record · LEDGER

Evaluating and Improving Large Language Models for Competitive Program Generation

As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2506.22954.

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

pith.paper-citation-record.v1
2506.22954 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:31.767777Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:46:48.375901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:31:24.613360Z

Reference resolution

37 of 37 outbound references displayed

verified exact4
verified fuzzy8
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16483639-9544-4f4b-9981-ae097699865a · outbound

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

Evaluating and Improving Large Language Models for Competitive Program Generation A Survey on Large Language Models for Code Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:27.605289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efdfa3b4-7141-4dbc-9bba-53ebd5bbf5ed · outbound

This paper cites Zhang, D.

Evaluating and Improving Large Language Models for Competitive Program Generation Zhang, D

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:36.422759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdc3f478-a7c2-4682-868e-2bf435ef5797 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-06T22:03:33.030785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae1a0d4a-54e6-45b3-8e5e-a32e53d9f1d2 · outbound

This paper cites Radiation resistance of fine-grained ceramics Y2.5Nd0.5Al5O12 under Xe-ions irradiation.

Evaluating and Improving Large Language Models for Competitive Program Generation Radiation resistance of fine-grained ceramics Y2.5Nd0.5Al5O12 under Xe-ions irradiation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:03:32.777658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b595b00b-1e7c-4379-b156-23e734a806f1 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Evaluating and Improving Large Language Models for Competitive Program Generation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:27.978908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf030b4-3b19-465c-8308-7032314ca97c · outbound

This paper cites Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation.

Evaluating and Improving Large Language Models for Competitive Program Generation Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:03:32.550494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 90d533eb-7280-4fce-b3c0-2a1c8656c320 · outbound

This paper cites Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering.

Evaluating and Improving Large Language Models for Competitive Program Generation Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.145297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf4f9c5-8f35-4285-a471-cbbdada59348 · outbound

This paper cites VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination.

Evaluating and Improving Large Language Models for Competitive Program Generation VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.258022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515d0685-b149-4a0f-a75b-7d8e1e6cfc92 · outbound

This paper cites On Leakage of Code Generation Evaluation Datasets.

Evaluating and Improving Large Language Models for Competitive Program Generation On Leakage of Code Generation Evaluation Datasets

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.369986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d6351cf-a0c4-40a7-b93b-a007a1acc4d5 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Evaluating and Improving Large Language Models for Competitive Program Generation Evaluating Large Language Models Trained on Code

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.444681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319bcdc1-0403-4589-86ef-0aed2b9570a2 · outbound

This paper cites Program Synthesis with Large Language Models.

Evaluating and Improving Large Language Models for Competitive Program Generation Program Synthesis with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.588695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1bda1d8-c08a-4c9a-8336-4ee241f96f24 · outbound

This paper cites Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models.

Evaluating and Improving Large Language Models for Competitive Program Generation Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.728894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380c017e-2dc7-48cc-a404-6453a238f449 · outbound

This paper cites Competition-Level Problems are Effective LLM Evaluators.

Evaluating and Improving Large Language Models for Competitive Program Generation Competition-Level Problems are Effective LLM Evaluators

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.782849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7195200-d475-4c66-a2ce-d0b42a41c470 · outbound

This paper cites LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?.

Evaluating and Improving Large Language Models for Competitive Program Generation LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.866165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 288f6c1a-8c97-48c2-936a-db0663188c1b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Evaluating and Improving Large Language Models for Competitive Program Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:28.988906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e304bd05-2203-479f-b069-3e5d6a155d76 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:03:36.117423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f82abb75-51da-4f34-9422-d5c15575db51 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:03:35.823752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0486e9e2-5b88-478c-aa45-316cfa2ed790 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:03:35.485962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3eed8bb0-d5a5-4f0e-86a5-b0f4f3f1bef7 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:03:35.160210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f5d06e0-8b2e-4a49-aff7-a1bdf70eaca8 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:29.547120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba888748-7538-456b-9210-391114bf6af1 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:03:34.947212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f988cf3-13d1-4bc6-a614-db07270f1898 · outbound

This paper cites Cohen, A coe fficient of agreement for nominal scales, Educational and psychological measurement 20 (1) (1960) 37–46.

Evaluating and Improving Large Language Models for Competitive Program Generation Cohen, A coe fficient of agreement for nominal scales, Educational and psychological measurement 20 (1) (1960) 37–46

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:34.706339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31f9da85-90f3-4e04-b8c2-44933fb5b01e · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:03:34.560079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69c8285d-e73b-4b2b-835e-57883eacaaec · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Evaluating and Improving Large Language Models for Competitive Program Generation Lost in the Middle: How Language Models Use Long Contexts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:30.119619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759d5ec7-e613-4f2a-9855-123bb3f7aa87 · outbound

This paper cites Reynolds, K.

Evaluating and Improving Large Language Models for Competitive Program Generation Reynolds, K

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:34.293637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b1b5d28-f9cd-45d2-91db-dfbaa8db2294 · outbound

This paper cites Beurer-Kellner, M.

Evaluating and Improving Large Language Models for Competitive Program Generation Beurer-Kellner, M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:34.142805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68dec1d7-e9d3-4631-b487-2ffd602b4a66 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Evaluating and Improving Large Language Models for Competitive Program Generation Unleashing the potential of prompt engineering for large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:30.526162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 592386d8-cadf-4471-b632-729753b65e9d · outbound

This paper cites ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

Evaluating and Improving Large Language Models for Competitive Program Generation ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:30.637102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 068adf23-5a51-4f7d-95cc-182d6c750f9a · outbound

This paper cites Zhang, K.

Evaluating and Improving Large Language Models for Competitive Program Generation Zhang, K

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:33.949398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation baea3e6b-7929-4e97-9e72-5869ce90472d · outbound

This paper cites Shakya, F.

Evaluating and Improving Large Language Models for Competitive Program Generation Shakya, F

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:33.692238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 11c5d73a-cfc3-4ae7-a56c-dd45ab27d8f9 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Evaluating and Improving Large Language Models for Competitive Program Generation Measuring Coding Challenge Competence With APPS

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:31.047261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b485b04-a144-4a6c-b362-bf82e88113e7 · outbound

This paper cites an unresolved cited work.

Evaluating and Improving Large Language Models for Competitive Program Generation Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:03:33.548955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 359ca614-676a-4ed1-aa48-f37f39cd85e6 · outbound

This paper cites Zhang, Z.

Evaluating and Improving Large Language Models for Competitive Program Generation Zhang, Z

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:33.386799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1152e4b5-1248-475f-a60c-9148f51b7c78 · outbound

This paper cites MapCoder: Multi-Agent Code Generation for Competitive Problem Solving.

Evaluating and Improving Large Language Models for Competitive Program Generation MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:31.461496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083e112b-a6a8-458d-b186-2332c293b30c · outbound

This paper cites Souza, R.

Evaluating and Improving Large Language Models for Competitive Program Generation Souza, R

Reference 35

Resolution: verified exact; raw_fallback, observed 2026-08-06T22:03:32.078947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 427a19f3-d228-419f-9323-740974b83fa5 · outbound

This paper cites ProBench: Benchmarking Large Language Models in Competitive Programming.

Evaluating and Improving Large Language Models for Competitive Program Generation ProBench: Benchmarking Large Language Models in Competitive Programming

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:31.682090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f41a1a-9047-4609-b371-5b3b1ff5edab · outbound

This paper cites More information can be found at: https://xchencs.github.io/index.html.

Evaluating and Improving Large Language Models for Competitive Program Generation More information can be found at: https://xchencs.github.io/index.html

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:03:33.211048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation a0e794a6-a7ce-436c-934f-dc95947900f7 · inbound

When Independent Sampling Outperforms Agentic Reasoning cites this paper.

When Independent Sampling Outperforms Agentic Reasoning Evaluating and Improving Large Language Models for Competitive Program Generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:24.620351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.