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Paper Citation Record · LEDGER

Can Language Models Solve Olympiad Programming?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2404.10952.

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

pith.paper-citation-record.v1
2404.10952 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:28:46.410082Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 16538433-e5e1-4edc-92c0-3d5cc747f281 · inbound

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence cites this paper.

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence Can Language Models Solve Olympiad Programming?

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T01:06:07.903009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T01:06:07.787696Z digest=sha256:64166c10b8c2be0b93cddbb43592d97bb44f667a111f0f2833483370ef7234c1

Observation e8b33a72-d6f6-41c9-bde2-4917032c7380 · inbound

Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis cites this paper.

Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis Can Language Models Solve Olympiad Programming?

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T12:28:46.410082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:28:46.410082Z digest=sha256:ef629dbcd61f2b8a08a2348b4d73725227a8d3359828f5bd1917e6d8f626fe2c

Observation 410498c9-dafa-4952-9c4e-0f48923cabe9 · inbound

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings cites this paper.

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Can Language Models Solve Olympiad Programming?

Reference 20

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unresolved
no resolver link, observed 2026-08-10T22:37:58.468295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:37:58.468295Z digest=sha256:c4dc425131cc61e500848f1db954bd5e848324560724427ee10e425660cefbc0

Observation 35be5a69-409f-41db-bb18-235fbb932821 · inbound

KernelBench: Can LLMs Write Efficient GPU Kernels? cites this paper.

KernelBench: Can LLMs Write Efficient GPU Kernels? Can Language Models Solve Olympiad Programming?

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:55:02.117980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T16:55:01.976356Z digest=sha256:f20f6a860cd3fd3d7d198041956884ce92f118af5269c33b70d1cf25f2275082

Observation 9ad325d3-e2e5-4c7b-ac24-6edf60c79f32 · inbound

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset cites this paper.

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset Can Language Models Solve Olympiad Programming?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:40:18.998678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:40:18.998678Z digest=sha256:5d723de8cf3068e3f46d77af557b88e04b1ac71dfdc6fc23f4dfa982ef41faed

Observation 62761887-1866-433b-bd44-55fa618bec06 · inbound

Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights cites this paper.

Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights Can Language Models Solve Olympiad Programming?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:41.803890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:41.803890Z digest=sha256:f4af7c5c37148d7e54aa80d06bc611ad0fa7dc00f851e17eddaf708de575a0dd

Observation 0153c955-1265-4112-80d0-b32548f7555f · inbound

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests cites this paper.

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests Can Language Models Solve Olympiad Programming?

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:02.083166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:02.083166Z digest=sha256:361f49e514df87f7cb723dd6b4c2d1337c6b99a32685fc33f844869f1546080d

Observation 6c03e8f3-c9fc-4810-ae22-c6361dcd0b62 · inbound

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration cites this paper.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Can Language Models Solve Olympiad Programming?

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:09.787030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:09.787030Z digest=sha256:eb67b3d85594d6fcdf821526b02d40ff38d69e71c6ceed066a5f4d435d0d0738

Observation 2a9de8a7-fe3c-4e2a-8727-1b620dd492b8 · inbound

CodeContests+: High-Quality Test Case Generation for Competitive Programming cites this paper.

CodeContests+: High-Quality Test Case Generation for Competitive Programming Can Language Models Solve Olympiad Programming?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:16:53.768867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:16:53.768867Z digest=sha256:899a047539615722eb6303d397739a0fc62696ef29dcd1e3dec9993f79019541

Observation b523538d-5be5-47d3-99ad-e3c9115faf50 · inbound

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics cites this paper.

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics Can Language Models Solve Olympiad Programming?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:08.494278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:08.494278Z digest=sha256:527c3516c6d0b45bda725c863e59c6c3ee96fa846d9d1842039ac61144a00f5d

Observation 37011065-6ddf-4089-9c7f-356ad251e219 · inbound

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

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Can Language Models Solve Olympiad Programming?

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T01:08:01.161542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:08:01.161542Z digest=sha256:d80d41c5f480fb46ca39c650541a4397aa91a156e5e44fe69ace34d148f9bf65

Observation 31cf8291-b415-4b89-b249-67b52b43b67d · inbound

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report cites this paper.

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report Can Language Models Solve Olympiad Programming?

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:22.961513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:22.961513Z digest=sha256:6552096dcc2dee403040415ec4379ef889fff53966ec8d9ef0dd37c3eb6d9353

Observation dfeebbd2-958e-463d-b138-aa695653ce2a · inbound

Efficiency of turbulence cites this paper.

Efficiency of turbulence Can Language Models Solve Olympiad Programming?

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T00:58:29.162171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:58:29.162171Z digest=sha256:bf823a01dddc9f9184223dc0b1131d571aa1c073f9f7edd3b64fdbc7b96a4ce4

Observation ca64c368-ddea-495e-8ec8-2b2bd327bf03 · inbound

Secure Code Generation at Scale with Reflexion cites this paper.

Secure Code Generation at Scale with Reflexion Can Language Models Solve Olympiad Programming?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T23:50:49.588497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:50:49.588497Z digest=sha256:d16acfc672e0dfe1d44c7916ff21fd688db3b40b6f0871c7783342a1803f3bfd

Observation 0391f15a-111b-406f-b3d8-fbe5cb203c30 · inbound

AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration cites this paper.

AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration Can Language Models Solve Olympiad Programming?

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:58:42.709125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-16T23:57:19.757902Z digest=sha256:ea8a765c9ca1ac045c40f641bdb444d9732c71439f935a9477c84d54e8246eaf

Observation 105a5587-e685-4c9c-9847-5953d5b2ded8 · inbound

Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation cites this paper.

Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation Can Language Models Solve Olympiad Programming?

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:07:43.343381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T10:04:44.379128Z digest=sha256:197b52555b121987413c3c18f8490604172db11dc479358fc7ff1a1316043544

Observation 4144deb3-ac3f-4af1-957e-51afb4124a8d · inbound

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution cites this paper.

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution Can Language Models Solve Olympiad Programming?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:32:39.552694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T16:28:23.113976Z digest=sha256:f4c304c1b9c26da7e0e17a6ead2207b3d3dc8bb54809879725eef4494e609e35

Observation 284310a9-3b0b-4c5d-9247-cab3acfb5837 · inbound

CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models cites this paper.

CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models Can Language Models Solve Olympiad Programming?

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:33:31.678773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T06:25:56.404246Z digest=sha256:05e858419e986ab6a871f5967a2fb15e3ae76a3be4025954d1191d9756dd1ae4

Observation 612f7669-9d3c-4afc-82b4-02c1b9c64d5a · inbound

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs cites this paper.

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs Can Language Models Solve Olympiad Programming?

Reference 159

Resolution
verified exact
local_arxiv, observed 2026-07-10T13:57:06.734549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-10T13:49:17.343893Z digest=sha256:bf4d86e2c71286f7cc43acf3170b3f74f51cac8873bbc2611bee621ef7a29792

Observation 6538a143-6205-42b7-b0ea-e1734f4021e0 · inbound

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning cites this paper.

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning Can Language Models Solve Olympiad Programming?

Reference 18

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unresolved
no resolver link, observed 2026-08-01T06:17:29.317498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:17:29.317498Z digest=sha256:8b9ed1e5eda464fe0f25dbd4c2f3117101be30c21d96e19ef23db6655c8f035e

Observation 01e04f36-e2b7-454d-9f54-8ab530e9e8b7 · inbound

DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training cites this paper.

DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training Can Language Models Solve Olympiad Programming?

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T14:00:53.037166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:00:53.037166Z digest=sha256:48aac1a2d90aa8994bf7bc9b27c61f10548e6dfdebf3fc58fe7ac4a409ff404d