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Paper Citation Record · LEDGER

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2603.03202.

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

pith.paper-citation-record.v1
2603.03202 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:12:23.358225Z

measured 44 of 44 standing notices

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 2cfa2cde-fa8a-41e2-9d00-86025e8d6800 · outbound

This paper cites First, adopt the mindset of an elite mathematical competitor and analyze the provided solution to identify the original problem’s true bottleneck.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? First, adopt the mindset of an elite mathematical competitor and analyze the provided solution to identify the original problem’s true bottleneck

Reference 1

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source=pdf_text observed=2026-08-02T19:12:23.257644Z digest=sha256:a96c63582c71bb18e9516d4bc8199691c450836fe8577c57fce2f412f97aae90

Observation 891f1d53-3850-45a0-a9bf-3bc85c76acc7 · outbound

This paper cites https://github.com/ huggingface/smolagents.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? https://github.com/ huggingface/smolagents

Reference 2

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source=pdf_text observed=2026-08-02T19:12:23.242190Z digest=sha256:733684e8b1988c33cae548ed25001e9880937a1e134ed5970b2ab427223bac1d

Observation bdb31dd2-f4a1-48db-9238-f5dcf5f2eb34 · outbound

This paper cites InProceed- ings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 5555–5579.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? InProceed- ings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 5555–5579

Reference 3

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Observation 5a5c897a-a81a-4327-aa9c-c0882af33a92 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Kimi K2: Open Agentic Intelligence

Reference 4

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source=pdf_text observed=2026-08-02T19:12:23.250447Z digest=sha256:6524aa5487a71b63e74ae232105cd5f2c98d739388312422dd169df89ba12e2a

Observation c38355a6-2f37-4df5-b1ea-47e7e3e27f18 · outbound

This paper cites RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 5

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source=pdf_text observed=2026-08-02T19:12:23.254065Z digest=sha256:cb3a045c7c064dbf5d2e1d94476776979802711c98aa0788bad7a7c81b9931e9

Observation d464a934-ae35-44c4-bb1b-f17750003ad7 · outbound

This paper cites After completing derivations and being confident in your new problem, call the final_answer tool with a correctly formatted Python dictionary.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? After completing derivations and being confident in your new problem, call the final_answer tool with a correctly formatted Python dictionary

Reference 7

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source=pdf_text observed=2026-08-02T19:12:23.260295Z digest=sha256:947526781dce98e3ced571b1f91782a461ff02f587e2b95168ff4aaec09f48c7

Observation d1027a07-418f-478c-ab6e-128312cbcb1a · outbound

This paper cites The adapted problem must be constructed so that even a competition-level solver struggles to find the entry point.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? The adapted problem must be constructed so that even a competition-level solver struggles to find the entry point

Reference 8

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source=pdf_text observed=2026-08-02T19:12:23.262854Z digest=sha256:8e1c0ae80ed8ee0356a8e7b7d1b4546c7a62ee7bc74c018f8747906d88ee8daf

Observation f574d2a4-65dd-4917-981d-b23b49757c9f · outbound

This paper cites Clearly state conditions and constraints.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Clearly state conditions and constraints

Reference 9

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Observation 1cb2c0a5-7ac7-4af2-901f-f80da4d9b2ed · outbound

This paper cites new_problem.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? new_problem

Reference 10

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source=pdf_text observed=2026-08-02T19:12:23.267898Z digest=sha256:a2bdbfd03f20bb133e0318d39b1f15f223ac4a78333ab3d9b859ff5879104985

Observation 01a2fefa-8e93-450d-b1d9-902b5f37efe6 · outbound

This paper cites bad math.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? bad math

Reference 11

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Observation 55e530b7-a543-4a64-9a54-8bf0c7c1fd34 · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 12

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Observation ef0badfc-9d34-46ee-9b48-2f7e58da4f72 · outbound

This paper cites has_logic_error.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? has_logic_error

Reference 13

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Observation 41b9f3cf-6435-4ec2-a4cd-58092951d07a · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 14

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Observation 25f4d308-1776-40d9-b73b-bef4dea2b897 · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 15

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Observation 458bb668-48c8-4816-a8f7-b57d94ed7d4e · outbound

This paper cites question_summary.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? question_summary

Reference 16

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Observation 8049864f-ecea-4bcd-b138-6b5f9afeb7c1 · outbound

This paper cites Determine if the mathematical derivation is logically sound and mathematically valid.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Determine if the mathematical derivation is logically sound and mathematically valid

Reference 17

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Observation cbeb5081-762b-4a3d-83ff-545c7a653ab8 · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

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Observation 9d82e5c3-111c-4b17-b80e-058fed8b355c · outbound

This paper cites score": number, either 0, 0.5, or 1,.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? score": number, either 0, 0.5, or 1,

Reference 19

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Observation e522f68f-3578-47d2-95cd-e4c093cead9d · outbound

This paper cites The ’Eureka’ moment is realizing that the area of a triangle on the curve y=x 3 +nx 2 factorizes into a product of coordinate differences and a linear term (x1 +x 2 +x 3 +n).

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? The ’Eureka’ moment is realizing that the area of a triangle on the curve y=x 3 +nx 2 factorizes into a product of coordinate differences and a linear term (x1 +x 2 +x 3 +n)

Reference 20

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Observation f486653f-6ff7-4cd2-8859-0e91f25a9909 · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 21

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Observation fbaac254-a585-4bd8-aae6-67922c874d2c · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 22

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Observation 15297413-19dd-4f7b-adf7-f62a45d4bf57 · outbound

This paper cites This effectively invalidates the ’tower/block’ visualization and the finite-state automaton approach used in the original problem.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? This effectively invalidates the ’tower/block’ visualization and the finite-state automaton approach used in the original problem

Reference 23

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Observation a5a4fda2-0801-43be-ac61-19dd798eb557 · outbound

This paper cites While the original problem is a technical exercise in bounding relative heights, the new problem is a structural puzzle.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? While the original problem is a technical exercise in bounding relative heights, the new problem is a structural puzzle

Reference 24

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Observation 0c70684e-c3f7-411f-ae15-27dd4b22e906 · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

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Observation 34f47a7a-2f7e-4929-9bad-4f2068d40a7b · outbound

This paper cites The new problem renders this simple heuristic insufficient.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? The new problem renders this simple heuristic insufficient

Reference 26

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Observation 25abd7c5-effc-4c75-8a65-5e270e85015c · outbound

This paper cites This is not a standard template.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? This is not a standard template

Reference 27

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Observation 320fb182-71a1-4997-b6a6-6189539e3f6e · outbound

This paper cites Distinguishing the case p= 2 fromp >2requires careful handling of the gap ratios, demonstrating a clear leap in difficulty.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Distinguishing the case p= 2 fromp >2requires careful handling of the gap ratios, demonstrating a clear leap in difficulty

Reference 28

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Observation a727134e-71f9-4c1c-9b3c-7cb653f75f95 · outbound

This paper cites While K3s are common and easy to parameterize, K4s are rare and structurally demanding.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? While K3s are common and easy to parameterize, K4s are rare and structurally demanding

Reference 29

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source=pdf_text observed=2026-08-02T19:12:23.319028Z digest=sha256:11c07eca3b5f7c0f713bbc0984f52ff06c57e72bc9e169be36c298b4998f9314

Observation 4523a467-9df7-4bf4-9f78-8733bba0e1e4 · outbound

This paper cites A K4 based solely on sums or solely on differences is nearly impossible to find in the given range.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? A K4 based solely on sums or solely on differences is nearly impossible to find in the given range

Reference 30

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Observation c942bdea-4556-4393-aa48-87b820ad8b85 · outbound

This paper cites It successfully transforms a standard Diophantine exercise into a complex graph-theoretic challenge.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? It successfully transforms a standard Diophantine exercise into a complex graph-theoretic challenge

Reference 31

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Observation 69233506-032b-453f-a0d1-7412181a73ba · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 32

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Observation 52c96d8e-a96f-4a75-9ff4-6faf9d59b0cf · outbound

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Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 33

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Observation 50cb62a0-2116-486d-a6d0-348e89f1cbe3 · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 34

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Observation 9ca5be52-ee8e-437b-aa58-16bced620da0 · outbound

This paper cites It demonstrates that while the original problem’s bound (0.75n) holds, the typical decay (0.25n) is much faster, providing a deeper understanding of the sequence’s behavior.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? It demonstrates that while the original problem’s bound (0.75n) holds, the typical decay (0.25n) is much faster, providing a deeper understanding of the sequence’s behavior

Reference 35

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Observation 1bf6714e-d198-4bf2-a422-54225158c743 · outbound

This paper cites It perfectly embodies the criteria of ’Anti-Templating’ and ’Mathematical Beauty’.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? It perfectly embodies the criteria of ’Anti-Templating’ and ’Mathematical Beauty’

Reference 36

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Observation c2bf214d-c432-4535-90c0-97f8de408c8d · outbound

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Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 37

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Observation a3b707e7-b7ce-4731-8e69-6f4d6a4522d1 · outbound

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Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-02T19:12:23.345711Z digest=sha256:32e4611ee64015351765bd1180c3355677a423c79cf3660ac2cf7158c677ce74

Observation 8a3a7c33-ee6f-4713-8d4b-edde9c07968f · outbound

This paper cites The solver cannot simply ’guess’ the worst case; they must understand the underlying state graph’s properties.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? The solver cannot simply ’guess’ the worst case; they must understand the underlying state graph’s properties

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:23.348474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:23.348474Z digest=sha256:76ac60968bf61406e06dfbb4f4e261fdac394502affd9c145eba5a1a67324e65

Observation 7a5829f1-0c83-4a94-b835-646fd6300e34 · outbound

This paper cites 37 Case 18 Evolver: Gemini-3-Pro-Preview-Thinking Original Problem (From CMO-2025): Given an odd integer n >1 such that every prime divisor p of n satisfies gcd(p−1, n) = 1.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? 37 Case 18 Evolver: Gemini-3-Pro-Preview-Thinking Original Problem (From CMO-2025): Given an odd integer n >1 such that every prime divisor p of n satisfies gcd(p−1, n) = 1

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:23.351176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:23.351176Z digest=sha256:7b788c2b763517c79aff010ea4365b88d0d7fa805af1da4168b4058250e80146

Observation ba6bcdf1-0fa3-4586-8e37-b64e55db2e55 · outbound

This paper cites For all other primes, a standard heuristic (’all lifts work’) sufficed.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? For all other primes, a standard heuristic (’all lifts work’) sufficed

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:23.353812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:23.353812Z digest=sha256:6582a5ad6fb503197daf32c842c2607bf1c77bdfdb36dc937930e7856c543598

Observation 3e3fd517-0c98-49b8-b960-49fe44e69796 · outbound

This paper cites This requires the solver to not only identify the ’double root 1’ condition (insight from the original) but also to classify and sum over the possible behaviors of the third root.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? This requires the solver to not only identify the ’double root 1’ condition (insight from the original) but also to classify and sum over the possible behaviors of the third root

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:23.355805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:23.355805Z digest=sha256:87c7bf9540b9a80e414fa3a3e2547e95754f4a63bef7f43a720098f4b27ab6e6

Observation d2f44236-480d-42ae-8727-d4653c7c0eb1 · outbound

This paper cites an unresolved cited work.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:23.358225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:23.358225Z digest=sha256:c4030964c6f63a83bcecbf425de4309153c8d22e60a5cb485d314257beb0eccd

Observation fd4411a2-be51-473c-bdef-15fe3c0d1623 · outbound

This paper cites circular.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? circular

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:23.342728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:23.342728Z digest=sha256:8be5516fb20ff559d7dd6199221dd11fc96a268892284e77b2e5f6fe680affe0

Observation d8ccd2da-fee6-47b9-ab62-dec20716918c · outbound

This paper cites Niklas Muennighoff, Zitong Yang, Weijia Shi, Xi- ang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candès, and Tatsunori B Hashimoto.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? Niklas Muennighoff, Zitong Yang, Weijia Shi, Xi- ang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candès, and Tatsunori B Hashimoto

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:23.238893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:23.238893Z digest=sha256:3ed3e8e441a0d20fba573f2f622e07517f6e2c848e8b0aab60eea1145d0793ba

Pith citing papers

No inbound Pith citation observations are available.