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Paper Citation Record · LEDGER

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.20908.

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

pith.paper-citation-record.v1
2607.20908 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:35:43.954755Z

measured 26 of 26 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

26 of 26 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e28fdee3-c240-4fc2-9a30-b7015b90c302 · outbound

This paper cites Kevin: Multi-Turn RL for Generating CUDA Kernels.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Kevin: Multi-Turn RL for Generating CUDA Kernels

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.831799Z digest=sha256:138dbfcd9bdfdbf6576d2b102fcca52032a2d3f5597a573b10a095810bd4834c

Observation 9119fff1-1023-4230-ac9c-372bd003ee55 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Evaluating Large Language Models Trained on Code

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.842904Z digest=sha256:8857aa2720669978d3c222b8352043a495cd162011ee09d905b8eda95f44c701

Observation 9dbb4663-1013-4587-ba45-113ff493a122 · outbound

This paper cites an unresolved cited work.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Unresolved cited work

Reference 8

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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.

source=pdf_text observed=2026-08-15T15:35:43.863971Z digest=sha256:f589d85154aa5aee22475cd1be5055100187106d538ed7cd94db84846c2ebf20

Observation 0fee6422-ca5a-47e6-941e-33bc14a61218 · outbound

This paper cites an unresolved cited work.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Unresolved cited work

Reference 13

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verified exact
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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.

source=pdf_text observed=2026-08-15T15:35:43.889150Z digest=sha256:6b69d7a74c4d838e58a6b454ddd2a2fee27697d0779a88d37524b141eb32b689

Observation 13322665-f22e-4cce-9867-3def0618ab01 · outbound

This paper cites an unresolved cited work.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.893745Z digest=sha256:b714e41a1814a3696c4991cc3966caab77be86eb057f81b69adb3f23a5a54485

Observation 3f83d322-917d-459d-b485-0836c1f69129 · outbound

This paper cites CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 15

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.898391Z digest=sha256:239c5c7356dcf827577f302f75fb7c3b7b353604caa588dcbb504ab6a4ca7a88

Observation db25c021-b1b2-4402-aac1-47dd6772f7c7 · outbound

This paper cites KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.903160Z digest=sha256:8489e82d4e16be25d3d0875a551d3805231c104c1a8001c01a475e7f096bcd5e

Observation 0af3c122-52b0-497f-be0b-c8ea8fac9cae · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 17

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source=pdf_text observed=2026-08-15T15:35:43.908116Z digest=sha256:3b784b77f2ea2eae197e0b5eaf165916b65e863a22e8bb3a4d520b88a902f3a6

Observation c8deb958-d831-4a13-a7a8-ef35a37d1931 · outbound

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

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.913340Z digest=sha256:0a9c8281019ff3b028bc19f6587c6ed684787ac7ed3cc2fb9c3742f884d70e7b

Observation f57c09ea-b050-4a2e-adb1-f8a850a4cef0 · outbound

This paper cites Qwen3 Technical Report.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Qwen3 Technical Report

Reference 20

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no resolver link, observed 2026-08-15T15:35:43.923369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.923369Z digest=sha256:6636a316aebb792bffae2ca67bc6afd8cb165763eac384487002bdb9e05377da

Observation 3ba47d87-9b74-4676-9d42-43f6a3708129 · outbound

This paper cites Learning Performance-Improving Code Edits.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Learning Performance-Improving Code Edits

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.928599Z digest=sha256:3faee8366b1f6b77be4fd98c85e023526db1ecf8704f39b607b21eb8c892b9e1

Observation e6c3783d-8362-46be-aca4-926cda98d36d · outbound

This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 23

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source=pdf_text observed=2026-08-15T15:35:43.939377Z digest=sha256:c4661aa92cd88a229097b113ba7a83f65ea721f7513fcb2965d6334ae4430fce

Observation fcd94a65-07c8-46f9-956a-e4f8a0768a65 · outbound

This paper cites ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Reference 24

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no resolver link, observed 2026-08-15T15:35:43.944364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.944364Z digest=sha256:1c3d3ef0f6286108cf11e0cf706e2970b79c47f0a66d596beb3a4cc9dda25ee4

Observation f384bae8-2a04-4555-99c7-d7863947d040 · outbound

This paper cites an unresolved cited work.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-15T15:35:43.949680Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.949680Z digest=sha256:1a104050c1c46682e6d5c4d2d94f79322ee9a137d3425cdbaa5b917ec0d285ac

Observation 613ff5da-7813-48a7-81d1-870c141b4cab · outbound

This paper cites These features are integrated into the reinforcement learning reward to guide the model toward efficient parallel implementations.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation These features are integrated into the reinforcement learning reward to guide the model toward efficient parallel implementations

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T15:35:44.944637Z

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.

source=pdf_text observed=2026-08-15T15:35:43.954755Z digest=sha256:e15d77c5b0c24133773de4561bafa61f88f18e23b0f8d911da51a5ef855c6154

Observation 66add268-a6a3-4546-9455-f27ca8322428 · outbound

This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Reference 2007

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no resolver link, observed 2026-08-15T15:35:43.868636Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.868636Z digest=sha256:f49e21c665b3d9213842cafd27da14fa0ad56d6f6b31602317a93a89c0a50e6a

Observation 07d401ca-2215-4975-98ff-149be4e03c3c · outbound

This paper cites Qwen2.5-Coder Technical Report.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Qwen2.5-Coder Technical Report

Reference 2009

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no resolver link, observed 2026-08-15T15:35:43.883971Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.883971Z digest=sha256:8546f6d749e0648d4bfc5585054085848d974d5a2a3a2880d421d3c5c8ed7e27

Observation 91472e1e-5cff-4b10-b450-6e6e00f7064f · outbound

This paper cites Waghjale, V.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Waghjale, V

Reference 2010

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verified fuzzy
raw_fallback, observed 2026-08-15T15:35:44.960486Z

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.

source=pdf_text observed=2026-08-15T15:35:43.933689Z digest=sha256:394c22fafe7820bf4b0726a36387d74756a77b4e8a4fdc2a9fd0d0ca7bea2e06

Observation 1cf2e7b9-785c-4735-beb3-7cef0a5846af · outbound

This paper cites an unresolved cited work.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Unresolved cited work

Reference 2012

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source=pdf_text observed=2026-08-15T15:35:43.853597Z digest=sha256:c718f2289d3c0ed16b7055cbfd314ac7a32bdce3ab16d4ff1b5138df11c858d0

Observation 6ba13fcb-5933-4335-a468-e3db0bae8f9c · outbound

This paper cites CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 2013

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source=pdf_text observed=2026-08-15T15:35:43.918189Z digest=sha256:7a07c0dc840da606d0865517737db212d4ee039158fb1ca63a131163c402f20b

Observation 84eb02a7-44e2-49cc-92f1-043394c3f43f · outbound

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

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2014

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.878922Z digest=sha256:998093a1c7747d3a018a807d5b51b3bd372dcf64200fdc219aa2581ccd10e81a

Observation c013e5fa-7887-42ab-8eac-1d723ebdf9c2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Training Verifiers to Solve Math Word Problems

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.848685Z digest=sha256:734ad8a1e13b33da0a3a3ea63aefd64201efe93051b85d6d08455b98a04c91ba

Observation acdd1b21-f221-40c4-acaf-950d897757c8 · outbound

This paper cites an unresolved cited work.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Unresolved cited work

Reference 2023

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verified exact
raw_fallback, observed 2026-08-15T15:35:44.586153Z

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.

source=pdf_text observed=2026-08-15T15:35:43.858868Z digest=sha256:1ec557ae135905a132d80485ad7321f977adcf63d0481fb40f8e7b56c5e23746

Observation 0b8c9b57-bcd0-475d-939a-c95598296d59 · outbound

This paper cites Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.874204Z digest=sha256:3c5f1cdcacee37c02fcdccdac32e1e11f91c48813dee5993a29a47f5327aea7b

Observation d70516c7-7b02-4405-a85c-0c8f74b26069 · outbound

This paper cites Bhattacharjee, H.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Bhattacharjee, H

Reference 2025

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:35:43.837557Z digest=sha256:6ef091420dc6faa95a1526873e873b85b9499d9268fca49115e0714f5ca90a33

Observation 1e3b22e2-01bd-437c-95d3-2cd3dd305bd3 · outbound

This paper cites an unresolved cited work.

Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Unresolved cited work

Reference 2026

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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.

source=pdf_text observed=2026-08-15T15:35:43.825977Z digest=sha256:41ef40ffded83497a16126d032b3dbb93080561758babf573403eb8283d51af2

Pith citing papers

No inbound Pith citation observations are available.