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Paper Citation Record · LEDGER

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.06301.

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

pith.paper-citation-record.v1
2608.06301 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:25.819108Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved34
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c5f7cd5-2b14-40f1-a771-e60121272912 · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.616441Z digest=sha256:dba0e1a7e899424b042968f406e1c7bf335aa65335434006c1eddef44a6afb17

Observation 84c6ef51-45d5-495f-9a85-66d6b116523e · outbound

This paper cites Program Synthesis with Large Language Models.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Program Synthesis with Large Language Models

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.621540Z digest=sha256:b9b4a81c6ddb957fa2cddcf9d9b72282a525201e168c54f5edfd3910d78a6ab0

Observation 6b862b9b-a108-44ff-b7c2-bfc126a7f381 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 3

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no resolver link, observed 2026-08-07T06:02:25.626627Z

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source=pdf_text observed=2026-08-07T06:02:25.626627Z digest=sha256:a6772902569367c647e395567ef8b036e190bc5f49975973784342872e269923

Observation 5fecd972-8608-4139-bedb-a94f5cec91d0 · outbound

This paper cites HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry

Reference 5

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local_arxiv, observed 2026-08-07T06:02:26.542719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.639914Z digest=sha256:9055b5c4208c9db9f41980ad185a66a4c6a7ffafdbddb584d224df245e77cdd9

Observation 06ae2d74-049d-4f54-a113-92f478ceaf97 · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.644768Z digest=sha256:043103fe991f25b39c336d0bae088148d8e5d6f8a13174e445ee215eccb1702b

Observation 7e24c6bc-e978-4394-a654-b4a3c2cfc91a · outbound

This paper cites Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.649833Z digest=sha256:d61b9fcbb773bc1bcb2c01c4ef75b1d8989a9d5146d0f3fa31bc8d4ceeaef8b9

Observation 1ad6944b-e18e-41d3-b5e1-095ed755382e · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.655395Z digest=sha256:fda58c2ec7b4d0364026568b3153bd30be742551b2617179f97fd818cafe02d2

Observation 4e70b33f-ef19-4b64-b8e2-73e9f5469edd · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.659935Z digest=sha256:136d62c1acf78c11f7dc3ad3a4f76c53ad87bcab349287d09649c062782cbd99

Observation 95aa86d1-88d4-415c-97c5-7a24d9379dfd · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 10

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source=pdf_text observed=2026-08-07T06:02:25.668797Z digest=sha256:1d75c68f1bedbd7cf1f22727d5442cbce7a4c6d8773f443f44a19d7ece9ec528

Observation 72497daf-5131-42b4-be49-78a98649a566 · outbound

This paper cites ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution

Reference 11

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source=pdf_text observed=2026-08-07T06:02:25.673512Z digest=sha256:1606096f86dd6eedb93b4f5a6d3d093a88cda6f541714c0482e73049c039793b

Observation b114c3e1-3999-451f-90ca-dd70996b620e · outbound

This paper cites Meta-Harness: End-to-End Optimization of Model Harnesses.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Meta-Harness: End-to-End Optimization of Model Harnesses

Reference 12

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source=pdf_text observed=2026-08-07T06:02:25.678912Z digest=sha256:15ecbfc0d168e6e331fb596c1ee1097df253b93c39337e1a1b6704c6d1618ad0

Observation 45050dee-36a5-4044-bb03-177129addcc5 · outbound

This paper cites Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

Reference 13

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no resolver link, observed 2026-08-07T06:02:25.684162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.684162Z digest=sha256:50e7e97d4d540c2f523379c6d451d6ff1b85c80d7bb4b0811b0760564b520b9e

Observation 59ab5bed-bff7-4a79-bee9-45284fe28a2e · outbound

This paper cites RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization RSIBench-Data: Benchmarking Data-Centric Research for Recursive Self-Improvement

Reference 14

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no resolver link, observed 2026-08-07T06:02:25.689165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.689165Z digest=sha256:433379ad50dc141b17d02d9955428beb56fc67d17bbc7c4605c71945743b31fb

Observation 7a5ea708-3a4e-48e5-a781-7d8f087d9d65 · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 15

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source=pdf_text observed=2026-08-07T06:02:25.694406Z digest=sha256:b49b043af397252cc052b0e0aadf109ba356e44da99854b1de1c6f04fe8fa508

Observation 832e847c-45be-4983-ae0d-e267fdca825c · outbound

This paper cites GAIA: a benchmark for General AI Assistants.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization GAIA: a benchmark for General AI Assistants

Reference 16

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source=pdf_text observed=2026-08-07T06:02:25.699110Z digest=sha256:21f82e28afa60d8044aceec77ea3d085042673183939a6ad5e5b667c19d2183c

Observation ac423a22-3cfe-41b3-918c-a10db151494c · outbound

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

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 17

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source=pdf_text observed=2026-08-07T06:02:25.704618Z digest=sha256:9dc85409dfeb03d268914bbf86d56d3f4c0aee6ab608f5dddbd0bd2a2125fedc

Observation 6d6365fd-311e-4770-9698-675129b7400d · outbound

This paper cites Opsahl-Ong, A.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Opsahl-Ong, A

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.710081Z digest=sha256:9a351d4bf2b0e2f14085d6a7896925e066aa0f4542a705a2ea6dbb9747172dfd

Observation ad972446-d52d-4349-a01d-73c312377a8b · outbound

This paper cites Ouyang, S.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Ouyang, S

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-07T06:02:26.773465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.714285Z digest=sha256:a0b1925db25df8f59c7df61302ca2fd663cda3d9f9191189717c3b75d5cc3c21

Observation 6a3d847d-bc83-419c-ba9a-46bfdafc02e9 · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.718442Z digest=sha256:1c6fa51358032a2a2cc9b900ade3815b61dc4b1905d7594e308ceb6c5138a34f

Observation f8c1677d-df60-4c64-b1d0-0381581b932d · outbound

This paper cites Romera-Paredes, M.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Romera-Paredes, M

Reference 22

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source=pdf_text observed=2026-08-07T06:02:25.731989Z digest=sha256:da2efbae7167cb1c39238a6b371d88ccc6029df71a923f40f178443689547c83

Observation 72fcfa4e-52d1-4680-a932-1113a7b1aafa · outbound

This paper cites Ursekar, A.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Ursekar, A

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T06:02:26.755690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.736276Z digest=sha256:98eb212f9fa38f85dbbfde31db0607d8480fe8ac96639d467b35e9f76ccf324e

Observation 8c554198-4a8f-4996-add4-14b687b00309 · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.740882Z digest=sha256:17599a4c1ade9c50dcd59af0379f6735eed2d55acb407ee7cc242fd713785d03

Observation 6b69b85f-28e1-4de3-95f4-1ebd8cd4499e · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-07T06:02:25.745383Z digest=sha256:ccfe63bdd324b9000a197b36420e9a405795b9967e4453f06c27793bde36b21c

Observation 5957b07f-23e7-492c-bfc7-8ae6bb7b80b7 · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.749972Z digest=sha256:fc8238da62763fda818711885508ad122c835f30730192c5339f4701212e4c81

Observation 5cadbf08-4f74-4106-b420-6f947be9a055 · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.754561Z digest=sha256:cd36618cbc496b115460cdfc183e554c0b0e99e8ef5e152d948bac66966e7b10

Observation c3ee986a-611a-463a-941e-2e856cb77cad · outbound

This paper cites RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Reference 28

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source=pdf_text observed=2026-08-07T06:02:25.759327Z digest=sha256:bc8cc261cd9a0a26cd49aa1b38153db0dee0b4661197e33cef064ca303ec2000

Observation db2fe2c1-8763-4894-8e1e-9ca36870d67f · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.763834Z digest=sha256:5b4709fcf737ae862f69821e3948bf715a51ecde6551396ac132f19c934029c0

Observation f0aa53e8-970e-4a68-b894-3261e7658649 · outbound

This paper cites Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows

Reference 30

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source=pdf_text observed=2026-08-07T06:02:25.768245Z digest=sha256:f92bf9eb41d77e0391c709e7ccbe0d0e394e742b21a89f5434adbd0adb120111

Observation 07ccd406-2445-4169-8b89-6f761f2e1fb8 · outbound

This paper cites an unresolved cited work.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Unresolved cited work

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.772900Z digest=sha256:103665f7e8a60c68bc8beb5e9e6a5ae6a4c0bed25a973d3fe8a0d28459aaed8d

Observation 5853d2ef-5886-4c79-908a-c3d9a07ba557 · outbound

This paper cites G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement

Reference 33

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source=pdf_text observed=2026-08-07T06:02:25.787406Z digest=sha256:4894d5ff061ea8f6c3b4969ade2506891d3136361e2b88343802ba4cc411268c

Observation fd38340b-54e5-4194-bb30-b1108b5bc95d · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization TextGrad: Automatic "Differentiation" via Text

Reference 34

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source=pdf_text observed=2026-08-07T06:02:25.793445Z digest=sha256:92f58cf7899964437262fa2adb1e67a05959196e8cd9476b7091acb9ba265e0e

Observation 8b7b2ce4-092c-41fe-8d39-6e49194a1169 · outbound

This paper cites Zelikman, E.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Zelikman, E

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T06:02:26.647834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.799359Z digest=sha256:eb73cbf28b668c9e24951b96f9c837456b94948df340d10241962a1ebf56bc6e

Observation fc3bd319-50f2-4c22-b079-517dfd5d96b7 · outbound

This paper cites LLM-AutoDiff: Auto-Differentiate Any LLM Workflow.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 36

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source=pdf_text observed=2026-08-07T06:02:25.783053Z digest=sha256:21e93e5ff022487b73808c6a7585e87b8ae11e3ec828aeb43f7555573452c262

Observation e86ce37a-0105-4da9-9a23-55caca814dba · outbound

This paper cites Zhang, J.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Zhang, J

Reference 37

Resolution
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raw_fallback, observed 2026-08-07T06:02:26.629708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T06:02:25.809069Z digest=sha256:0915cf95bad7aa88159c59ff9830ec53ba387be7edffc2e932ee56641a394b05

Observation 0382457f-3707-41e7-b59a-3175ac6c7b7c · outbound

This paper cites Stop Comparing LLM Agents Without Disclosing the Harness.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Stop Comparing LLM Agents Without Disclosing the Harness

Reference 38

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.819108Z digest=sha256:bba6d1965bd17e65765fca5ef177d49c78bbec1fb91c45bc173b1e6b17cf642b

Observation 73f9813b-71b4-42ab-adfc-fa76a52057a8 · outbound

This paper cites Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Reference 40

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source=pdf_text observed=2026-08-07T06:02:25.804071Z digest=sha256:47719766ea25c3b4596d21bab812dcc0e5056c0096503f6854fc164132520ea8

Observation 9aa97db2-102f-483b-9dd4-c900c79cfe0e · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization AFlow: Automating Agentic Workflow Generation

Reference 42

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source=pdf_text observed=2026-08-07T06:02:25.813777Z digest=sha256:51503df5032e600ec01f9db7088790827c21d1966240a921eb1a558baf1e4bf5

Observation f1e92752-39a5-4a6e-98a4-f093a899e2ea · outbound

This paper cites Evaluating Large Language Models Trained on Code.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Evaluating Large Language Models Trained on Code

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:25.635628Z

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Unavailable: canonical work link unavailable.

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Observation 234b9e0a-50f4-453b-8d80-4979d8b30ea7 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:25.664469Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.664469Z digest=sha256:2f92e0362d982f233c4525b405a0c857f7f35ea67690bff2587b586b10f48f36

Observation 5ae73031-9670-42b4-b8d3-9d6859d5658e · outbound

This paper cites A Self-Improving Coding Agent.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization A Self-Improving Coding Agent

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:25.727335Z

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.