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Paper Citation Record · LEDGER

Harness Engineering for LLM-Driven GPU Kernel Generation

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.17979.

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

pith.paper-citation-record.v1
2607.17979 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:30:09.539926Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

19 of 19 outbound references displayed

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  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63d7a45b-36ec-41f7-9b4c-ea3affd12214 · outbound

This paper cites Harness design for long-running application development.

Harness Engineering for LLM-Driven GPU Kernel Generation Harness design for long-running application development

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T16:30:09.472705Z digest=sha256:a3c059af435247c5a0fd28102737d08adb5f35753d7113992cfa4966f869c13e

Observation 4bb23416-a381-4887-98b7-b18de498ea21 · outbound

This paper cites FlashInfer Contest.

Harness Engineering for LLM-Driven GPU Kernel Generation FlashInfer Contest

Reference 4

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source=pdf_text observed=2026-08-01T16:30:09.484564Z digest=sha256:b4a4bec6b7b741cd3c1e45440bbaaa846ee20dd8bd1e8c1a3bc2ebd67dfd4877

Observation 5f66e74a-7739-4045-9a94-3e6adce77fbd · outbound

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

Harness Engineering for LLM-Driven GPU Kernel Generation KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 7

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source=pdf_text observed=2026-08-01T16:30:09.495157Z digest=sha256:dcc881e6916cf2959ace3d8731ea552768da6e1ed36aaf6d342809397b9db1c9

Observation 67ac1a61-d4f5-4705-85b5-77843d7727d5 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Harness Engineering for LLM-Driven GPU Kernel Generation AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 8

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source=pdf_text observed=2026-08-01T16:30:09.498860Z digest=sha256:9cfe5a951f1b60d86700086e640c5dc925d7aa0ffffcee77d6851f17df3d0c2f

Observation fa2bb973-d6c4-498b-8201-921ded3c1c9f · outbound

This paper cites mlsys26-flashinfer-contest: Open-source harness and artifacts for the MLSys 2026 FlashInfer contest.

Harness Engineering for LLM-Driven GPU Kernel Generation mlsys26-flashinfer-contest: Open-source harness and artifacts for the MLSys 2026 FlashInfer contest

Reference 9

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source=pdf_text observed=2026-08-01T16:30:09.502637Z digest=sha256:876246c541edbdf500d4be472e7761f4a4badd60ae3121b5b00cd3ab4cdc9293

Observation 5d97aabf-b05c-40c9-9178-294cbff16ade · outbound

This paper cites an unresolved cited work.

Harness Engineering for LLM-Driven GPU Kernel Generation Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-01T16:30:09.536268Z digest=sha256:3c626639731c14805471843f417d109310955414ced7e5b82609e282980b9618

Observation 2de376bc-2cde-4198-bcee-413db027df16 · outbound

This paper cites Yang, S., Kautz, J., and Hatamizadeh, A.

Harness Engineering for LLM-Driven GPU Kernel Generation Yang, S., Kautz, J., and Hatamizadeh, A

Reference 12

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source=pdf_text observed=2026-08-01T16:30:09.513794Z digest=sha256:70575651337af148df1e6eabea9e704613fef9f9e2b008132ce02d407de41c4d

Observation 548ea4e9-7316-4d49-b4f4-335db56bf0b5 · outbound

This paper cites Towards Automated Kernel Generation in the Era of LLMs.

Harness Engineering for LLM-Driven GPU Kernel Generation Towards Automated Kernel Generation in the Era of LLMs

Reference 13

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source=pdf_text observed=2026-08-01T16:30:09.517603Z digest=sha256:82d97f51045f67b697a38533b16c86e8322326fc75dae983da2b50048fa9e1a2

Observation 7d42c77a-f5c3-4952-ad3d-b0056e1a1776 · outbound

This paper cites A FULL-AGENTTRAJECTORYDETAILS In addition to the Agent-Assisted workflow studied in the main text, we also ran Full-Agent experiments with LoongFlow PES (Wan et al., 2025).

Harness Engineering for LLM-Driven GPU Kernel Generation A FULL-AGENTTRAJECTORYDETAILS In addition to the Agent-Assisted workflow studied in the main text, we also ran Full-Agent experiments with LoongFlow PES (Wan et al., 2025)

Reference 14

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source=pdf_text observed=2026-08-01T16:30:09.521588Z digest=sha256:3b6d00def59d6030cefb22ba8acf16e328c38f6545c8ccd230e2b0d56cf5b698

Observation db18221e-5159-4b5d-8146-3b227171c5a4 · outbound

This paper cites Harness Engineering for LLM-Driven GPU Kernel Generation B HUMAN ANDAGENTCONTRIBUTIONMATRIX Table 5.Human and agent contributions in the Agent-Assisted workflow.

Harness Engineering for LLM-Driven GPU Kernel Generation Harness Engineering for LLM-Driven GPU Kernel Generation B HUMAN ANDAGENTCONTRIBUTIONMATRIX Table 5.Human and agent contributions in the Agent-Assisted workflow

Reference 15

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source=pdf_text observed=2026-08-01T16:30:09.525558Z digest=sha256:dd53e8699989abb2139284469d785050f3566811b3fcac051a3f9de392758ea5

Observation 970614bf-c687-400d-bbb9-83d712d8995a · outbound

This paper cites The two rows that failed correctness do not have contest-side latency rows, so this table compares only the reported timed rows.

Harness Engineering for LLM-Driven GPU Kernel Generation The two rows that failed correctness do not have contest-side latency rows, so this table compares only the reported timed rows

Reference 16

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source=pdf_text observed=2026-08-01T16:30:09.529677Z digest=sha256:968ff5b6edc853a19c2c07452d2868da25b852b5cf2d4213f1440f6fc6e37a31

Observation 39e9e1cf-883d-4505-80a8-5e31a54ae14c · outbound

This paper cites Here uℓ t is the token hidden state after attention, eℓ i is the router centroid for expert i, and only K expert FFNs are active per token.

Harness Engineering for LLM-Driven GPU Kernel Generation Here uℓ t is the token hidden state after attention, eℓ i is the router centroid for expert i, and only K expert FFNs are active per token

Reference 17

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source=pdf_text observed=2026-08-01T16:30:09.533018Z digest=sha256:6eaae4480d54c431afb89e88b93702f278622da7cb696290119b25659dd07216

Observation bdba267b-2d9f-4322-8bb9-20ba5e221fa6 · outbound

This paper cites an unresolved cited work.

Harness Engineering for LLM-Driven GPU Kernel Generation Unresolved cited work

Reference 2019

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source=pdf_text observed=2026-08-01T16:30:09.506196Z digest=sha256:05e00e3389fe1c554180ebb5a44f3740c8e24aa896534123247bd098a934fe25

Observation f9d60b71-b1f2-4d53-ad89-848fd32e0e32 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Harness Engineering for LLM-Driven GPU Kernel Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 2022

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source=pdf_text observed=2026-08-01T16:30:09.480321Z digest=sha256:f239aa0e98416c2490e99270b093153c62116cbaa8af3e549bc9f8b57adaf4c5

Observation f7281215-82e7-4d92-93d7-3417bdf169a1 · outbound

This paper cites Lange, R.

Harness Engineering for LLM-Driven GPU Kernel Generation Lange, R

Reference 2023

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source=pdf_text observed=2026-08-01T16:30:09.492009Z digest=sha256:bfdf7971547d8226227b7d0ac1ab8a2a60b54b6a97bddfd9ecce9f9a434dd89c

Observation 4da52a43-c944-4a69-b200-eea7033bddb9 · outbound

This paper cites Dao, T., Fu, D.

Harness Engineering for LLM-Driven GPU Kernel Generation Dao, T., Fu, D

Reference 2024

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source=pdf_text observed=2026-08-01T16:30:09.476721Z digest=sha256:892137627dba17e8cd09a88ca3fa0d82c2b599a2c1b74e2fad096f1485b7c69b

Observation 3c9c2f76-2260-441c-afc6-748a988c71c0 · outbound

This paper cites an unresolved cited work.

Harness Engineering for LLM-Driven GPU Kernel Generation Unresolved cited work

Reference 2025

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source=pdf_text observed=2026-08-01T16:30:09.509855Z digest=sha256:e800f58d8e8124b50b06138dcd0c01786dab6196883706b5f7e65d198809b1ff

Observation b403f7c9-8a01-4745-a1fc-09037a231608 · outbound

This paper cites Jaber, J.

Harness Engineering for LLM-Driven GPU Kernel Generation Jaber, J

Reference 2026

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Observation 15bbf06c-2713-430d-a794-54d1c9449179 · outbound

This paper cites an unresolved cited work.

Harness Engineering for LLM-Driven GPU Kernel Generation Unresolved cited work

Reference 8462

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source=pdf_text observed=2026-08-01T16:30:09.539926Z digest=sha256:8eb0682ad4eccb145d41b8a22f1a247a613a7f1f1ff7ff661e4c05a0bbd9ca7c

Pith citing papers

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