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Paper Citation Record · LEDGER

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.09709.

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

pith.paper-citation-record.v1
2607.09709 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T17:25:37.713857Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c076882b-0b03-458f-bfb7-909961c10d4e · outbound

This paper cites Concrete Problems in AI Safety.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Concrete Problems in AI Safety

Reference 1

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:b04a35d08455f323299f4396533cd266bc529fdb12a65755e7896c25a044d739

Observation 18a3873c-2821-410f-a641-de629f4b2094 · outbound

This paper cites GameDevBench: Evaluating Agentic Capabilities Through Game Development.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation GameDevBench: Evaluating Agentic Capabilities Through Game Development

Reference 2

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:0f33148c298a66f64c0169bc987241c1277b6f83d1fbc2b578d4c9ae7eb7abda

Observation 764c0421-bab6-4f5b-855a-9c9719708bd4 · outbound

This paper cites Benchmarking reward hack de- tection in code environments via contrastive analysis.arXiv preprint arXiv:2601.20103, 2026.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Benchmarking reward hack de- tection in code environments via contrastive analysis.arXiv preprint arXiv:2601.20103, 2026

Reference 3

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:507f86d60c23036cf3691f737240fb3e53bf12b02e582ef018fb0299ee22cf9e

Observation f7d2e3d7-7a0c-4d87-83c4-5a31a2449f00 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Reinforced Self-Training (ReST) for Language Modeling

Reference 4

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:fdee3bbc54f882bce840e85848e6599560599c9edcf7c65450999d093623e390

Observation 7e62585b-b1fe-44c7-94e6-0096594ab437 · outbound

This paper cites V-STaR: Training Verifiers for Self-Taught Reasoners.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation V-STaR: Training Verifiers for Self-Taught Reasoners

Reference 5

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:14fb65c23f063f754062110323ed4e48f28bb81d67516753e323a7b3eeb832cd

Observation 7f59992f-4098-4276-8754-87eb86f96d83 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:f59221a00a072405dc2efd84913ede1bb85707bb9ad3792c653b413a2a93d30c

Observation 6d386c5a-d493-4ab4-8d36-b001a1fab859 · outbound

This paper cites GameGen-Verifier: Parallel Keypoint-Based Verification for LLM-Generated Games via Runtime State Injection.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation GameGen-Verifier: Parallel Keypoint-Based Verification for LLM-Generated Games via Runtime State Injection

Reference 7

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:05253a96547a882b3a97ff640cfd5716f358252b124790df723655ef77a6e4e3

Observation 3972db47-5056-4635-92ae-1740a77d7112 · outbound

This paper cites OpenGame: Open Agentic Coding for Games.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation OpenGame: Open Agentic Coding for Games

Reference 8

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:bb87648ea1e83b74f1557013c9f45c1dbda339cb5cb7fa8a6a8c1805797bc6d5

Observation 9631c1e9-e4b9-442c-abd5-4ca18e37574a · outbound

This paper cites Measuring AI Ability to Complete Long Software Tasks.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Measuring AI Ability to Complete Long Software Tasks

Reference 9

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:db1567442a85ab6bda8260f8d08a9b3b00521fe66e4bfa2ceb1aafe3eb430912

Observation 875703f7-e182-47b2-8624-d07c798dd1ab · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 10

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:a751f4e591553be7206697d24cf9724d8bbd29bb3c233799cd473a0ac94aaba7

Observation 2bee7729-cf8d-4c65-8623-8e7b68dc906b · outbound

This paper cites GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?

Reference 11

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:5793bf5464bf1e5946411253b0f64fdbf87dfa441a4b110d7898318f39a11fa6

Observation f5f59fbc-19d9-4915-938b-02b191c0ca3d · outbound

This paper cites Qwen3 Technical Report.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Qwen3 Technical Report

Reference 12

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:b738c35f4c90d35f94f4cbfd5e7eef972f260b4add6c83f416d741ca43fc04a5

Observation 2d3c46f9-bc77-4557-bd9f-699103e384a7 · outbound

This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 13

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:4dea1c527d8729fc976c472d5f4938167b56c728f4da6772a6b054235abb8ebe

Observation 4c81fb80-f5b3-4e69-b005-b8eed94bb5e3 · outbound

This paper cites Defining and Characterizing Reward Hacking.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Defining and Characterizing Reward Hacking

Reference 14

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:5daa4ce24dee4af8b9db98c90ea5ecf9c9bc60fc42de852a062432aefe647cdf

Observation 1b0952a2-e249-4418-961b-3e7b98525597 · outbound

This paper cites JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines

Reference 15

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:0c61607908a4d0e6eb00e5b05a8501f084c0b1c7b993ae632aa1c0f4bfea873f

Observation 1b52d36b-4e6e-4b95-b92a-ace92ae41192 · outbound

This paper cites Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use

Reference 16

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:0f60aa9edbe0f437573a0cf59a149155e463c7123dd3d464fec08bed7a06c6e0

Observation a30d0bf8-3acd-4685-9d45-f643b4c8f23c · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 17

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:49ce91fbc74c27064376210050d108fe8bd30692c83115f5cf09815d9b4e05b3

Observation 3bcbd7c6-b923-48f4-bb29-5bad160f98c5 · outbound

This paper cites STaR: Bootstrapping Reasoning With Reasoning.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation STaR: Bootstrapping Reasoning With Reasoning

Reference 18

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:3cf5bea000661af79293e1401209330988995feb99cf9477b458c703f8c5ee1f

Observation 115c916c-e635-4eda-9a3e-3d2d8fb60107 · outbound

This paper cites Embarrassingly Simple Self-Distillation Improves Code Generation.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Embarrassingly Simple Self-Distillation Improves Code Generation

Reference 19

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:1a2b077f8756b27ff6c409c830649864c038f31707e4e47d7f4d8a281cf3129a

Observation f750f02c-1807-42d8-b30a-2a860057d40d · outbound

This paper cites V-GameGym: Visual game generation for code large language models.arXiv preprint arXiv:2509.20136, 2025.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation V-GameGym: Visual game generation for code large language models.arXiv preprint arXiv:2509.20136, 2025

Reference 20

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:5bb99cbb6dccafaafdfad91c214b8e5a95651786742845ff951d2f84ff81f26d

Observation 8f61fb37-a859-400b-97b7-cd2fb3621813 · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 21

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:4cd20d234142e82e22c1af1143a7c808950fca7e64e294ca1105d77f7fc1275a

Observation abb5e27d-7214-4892-9450-d92de96bec05 · outbound

This paper cites Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 22

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:e271cccb88009ead1d720e5df586162f5c8a85b203532b9cb70effb56724f3fb

Observation 597d24c6-751c-4e5b-acd2-ff4073187728 · outbound

This paper cites ImpossibleBench: Measuring LLMs’ propensity of exploiting test cases.arXiv preprint arXiv:2510.20270, 2025.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation ImpossibleBench: Measuring LLMs’ propensity of exploiting test cases.arXiv preprint arXiv:2510.20270, 2025

Reference 23

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source=pdf_text observed=2026-07-14T17:25:37.713857Z digest=sha256:b01ed28d5c1e26a3f91b50cf07d0a54b94d9ec284d70955817a8667f2ffdfc9c

Pith citing papers

No inbound Pith citation observations are available.