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Paper Citation Record · LEDGER

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

As of 9 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 2026-08-08T06:32:00.761636+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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raw_fallback, observed 2026-08-07T06:02:26.840406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.616441Z digest=sha256:0201fad087a89aed01743a0d7ea3526e0684c00bfea2d3419e96df919ae3b44f

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=sha256:5e95964940734cc97d15f9176ec82f80fc8bd33f0e361600f7648ffdaf6d61a5

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.626627Z digest=sha256:5e58728c37fa33bd88261dcd3076d224acd0bb068827915b726b17ccabf72d4b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.639914Z digest=sha256:50812a2edfd66131dd56f70f5a265159f117836f0481392f147223d89f0bd2f7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.644768Z digest=sha256:b319e15eec1bb77822eff553ad166f540197d49ee26c0bc763d988f6f9ce6c65

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=sha256:96760608118bb2c76d6c44c452f5cf6e776ff368d70407a3b49471e26a2809be

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:ac7fa8a2c274267be9162c86719ac7e591a9e71ab7428491effd6bee35ebc9e0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.659935Z digest=sha256:58775b0809cde25b5a1b585a581253166c4261d6b34f030af5a57444c0c24bdd

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=sha256:5cf73dafea1724196540547e025aea45b064d01dffc2762c236c2375a0320eae

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=sha256:8f22c4a85ba30e5c1d9fbba00a530f8c4d656738b455bdf79fad22ed084579d0

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:ac48bc3a10a7f31cbb78ba47a1970dac2953b0ac9f423c0eea77062d6aea9ae8

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.684162Z digest=sha256:1ec96ed7c4dc638464e7bc56b382aa55514c7c4db96ad8715ef2fddf51cf3130

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

Resolution
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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=sha256:334360e2630fd90d5364004f77bc5a70cfc23c2518cb9abd924a323aee0204be

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=sha256:0237396b2bd6051bd9fdc4f88b7a9433c2724de31826be63d424fd59b5f5461f

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=sha256:4fe4c3444841b71df57b4476c69b5cc0cc7fcaf375dcdea690e04eadac6e4eab

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=sha256:29eba2d29e4f02a02d5c206157c385f7fe040b3eca306452edca35ec0609d595

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=sha256:009a16e28d70c9d37bd3ca7664e44e6ba30cde4346e9a20006c3de1f627529c7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.714285Z digest=sha256:0d47f1806678dfa17223449e7c686aa6122e4542722ab7ea5d59cebbcf5c995e

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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source=pdf_text observed=2026-08-07T06:02:25.718442Z digest=sha256:7e0f67367f83b54444f858c61fa232135ce75f6b8b8cbd06f9a52097787bbb2e

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=sha256:5680b1d3f179dc704696084d325859c441e23b65d5d1fd0dd84ef328c4b72b49

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.736276Z digest=sha256:1ef75a795b9e3015203d0dac40770d984fbc9510c7eac412f37e3ae6cb3737bb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.740882Z digest=sha256:65ff271ae295984c6ff06fd8ad20a46e8ea3e88011de66485707ddbf0cdb7f40

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:e0a844b808038dc3ee6c0b2dd8124ad3f16529b3c072e73f9be6a67fd191f6ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.749972Z digest=sha256:f7453e51b6f6308970fb3faeba86fba0014beb3f4f421d38cc2ee138dadaea9b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.754561Z digest=sha256:108479f660d390940364771088b2cfd9fea83f58ee3505ef23abb8195873fdfd

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=sha256:87faba5603ea474c695efa75817629383f2367577ff9765ff476578375a81aa4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.763834Z digest=sha256:2d106a3e7abb04bad75f2ac582959203a63fd1c9ebba3f0541fc088275506d4d

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:ae8016a861761fd07d702c53e3c4e66a124e90a49bf65504a360226842a53539

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:b28f5b1b462d758a853fbf12207440b995863285cb3e928a98a8d911774dbbb1

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.787406Z digest=sha256:9d6f5b5bac6f23cf35230dad67219f3158c5bd2ea7af91622bad122d2b06f43b

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=sha256:9af75039e26c1e891cb099266fd319e4316d94f7e6215c5ac8d7469acec5ebeb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.799359Z digest=sha256:65265a37f2950510743e9564c3efc7ccb1e90f85459d4b16531ab90f6f6b8e42

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=sha256:3f753305ba79abaff85c7158226266cb8ad671e4a3051c8e7377b1bbf4fdeb3a

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

This paper cites Zhang, J.

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

Reference 37

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:25.809069Z digest=sha256:b8aaae86ea5e90fa6f76ed5c0931504998c4f3aa0e5d57edcd7770a96f3b49d4

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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no resolver link, observed 2026-08-07T06:02:25.819108Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.819108Z digest=sha256:fb82c11dd2a43cfc1b793d0c2160e01e6e88e1d77afaba46c0606b6ef943963c

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=sha256:8c2aa7b9dc064003a5c560a7be4b0cbcff61d24c8b46fec1890f8ffd1eac507e

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=sha256:7bed60aaa22782436b5380f89a2e21354a493728db5c835e63492b0f45058809

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

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

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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

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

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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

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

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Pith citing papers

No inbound Pith citation observations are available.