Pith. sign in

Paper Citation Record · LEDGER

Automated Discovery Has No Universally Superior Harness

As of 5 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2607.18235.

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

pith.paper-citation-record.v1
2607.18235 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:40:14.260313Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T09:14:06.273778Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved70
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35aa29e6-ffad-4abc-835e-407d69ccaa87 · outbound

This paper cites Algorithm portfolios.

Automated Discovery Has No Universally Superior Harness Algorithm portfolios

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:05.852806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:05.852806Z digest=sha256:8b887c5b638e5d24122f1184e5ff18e58035990617c88ee26431c522561a0c40

Observation 46be4daa-8433-4266-b650-060770d64b1a · outbound

This paper cites Deep reinforcement learning that matters.

Automated Discovery Has No Universally Superior Harness Deep reinforcement learning that matters

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:05.968295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:05.968295Z digest=sha256:b8811c24147adb59d7db0e65cc72ed4882156c01044b6bf425e1986f7edae3a0

Observation 9a3b3014-e277-4a77-b82d-9ab7160f7a45 · outbound

This paper cites Automated design of agentic systems.

Automated Discovery Has No Universally Superior Harness Automated design of agentic systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:06.064091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:06.064091Z digest=sha256:ad729ff97ad615d73d5fb80d111f0cb16ce5e6b186e41349d5d01e195da968e5

Observation dfca96ce-e7b2-4461-81bf-cf358bd0ebed · outbound

This paper cites Non-stochastic best arm identification and hyperparameter optimization.

Automated Discovery Has No Universally Superior Harness Non-stochastic best arm identification and hyperparameter optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:06.218949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:06.218949Z digest=sha256:a36f9f5776d5e4eeda3f21989d85763ad9a72c1839d19cfeffa02ca59e51f2f2

Observation 273a52bb-bf08-4342-b584-a5fb67f26188 · outbound

This paper cites Bandit based monte-carlo planning.

Automated Discovery Has No Universally Superior Harness Bandit based monte-carlo planning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:06.704293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:06.704293Z digest=sha256:30e2d533311711ac77fde7a6f6bd3127d734053dd1843751495341bd07ef9111

Observation 83b7b77d-c1d1-4248-8612-8958246d9c65 · outbound

This paper cites Abandoning objectives: Evolution through the search for novelty alone.

Automated Discovery Has No Universally Superior Harness Abandoning objectives: Evolution through the search for novelty alone

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:07.074936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:07.074936Z digest=sha256:983880b5e3138fd102b2ac62de5ffc57120a01e978532bfbe519c291de98d45c

Observation 0fd58b67-3851-4981-b360-635f3cc4cd4f · outbound

This paper cites Random search and reproducibility for neural architecture search.

Automated Discovery Has No Universally Superior Harness Random search and reproducibility for neural architecture search

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:07.135844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:07.135844Z digest=sha256:5768e9120fd626cc41fdac32a03ce9b5f22491d5128a7bcb70c8e44d78581389

Observation e277ecd0-bd88-40d9-8a63-b5f97ab775d8 · outbound

This paper cites A system for massively parallel hyperparameter tuning.

Automated Discovery Has No Universally Superior Harness A system for massively parallel hyperparameter tuning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:07.204057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:07.204057Z digest=sha256:36b62e8bf9cdb13be3b4f4f7fad9c661fda43b0f58556e0b6e20b7c61c7a91a8

Observation dd81b46a-fc85-435a-a7cc-9270e92efc9e · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.

Automated Discovery Has No Universally Superior Harness Hyperband: A novel bandit-based approach to hyperparameter optimization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:07.300973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:07.300973Z digest=sha256:24caa62845eff6db15dbc1cec58518b1d04d38ba56bdcc9cf9e5207ae65636ca

Observation 05434dd9-849f-47e1-a60f-e2c851355e52 · outbound

This paper cites Eoh-s: Evolution of heuristic set using llms for automated heuristic design.

Automated Discovery Has No Universally Superior Harness Eoh-s: Evolution of heuristic set using llms for automated heuristic design

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:07.484221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:07.484221Z digest=sha256:89fb8061836e60ebf36504e87d2d687e1b4e56968b6cd11832f4456161440ac3

Observation e33bf33f-3391-4915-9f28-4744fa6fcf5b · outbound

This paper cites Qwen2.5 Technical Report.

Automated Discovery Has No Universally Superior Harness Qwen2.5 Technical Report

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:08.049464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:08.049464Z digest=sha256:7a072b6f7ec0949a383e88b997e033ddb28a9ca31683e6e8dac23b9d0edd37da

Observation dd3c2823-54ae-418f-beac-63e1cd30ef72 · outbound

This paper cites The algorithm selection problem.

Automated Discovery Has No Universally Superior Harness The algorithm selection problem

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:08.170601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:08.170601Z digest=sha256:e9daa6f6fddc55067f0b3a190349ecb98bdde2f696fd437e2f721feb85138045

Observation 75aa27bc-8546-41ff-89be-e7d85050f210 · outbound

This paper cites Mathematical discoveries from program search with large language models.

Automated Discovery Has No Universally Superior Harness Mathematical discoveries from program search with large language models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:08.266107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:08.266107Z digest=sha256:17cb52a8857e219ddef66a6a232933b4bec53d8fc2630ef95bce01b9328f5fd4

Observation a3c107d8-0e66-4ed8-a3de-1ad0b21361cb · outbound

This paper cites Agentsquare: Automatic llm agent search in modular design space.

Automated Discovery Has No Universally Superior Harness Agentsquare: Automatic llm agent search in modular design space

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:08.655327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:08.655327Z digest=sha256:5e3c1d05e28565a0be758974698d300355ad127058407fb16408a0b826072f54

Observation f873c564-7a4d-4c64-8788-c6aa457bd2db · outbound

This paper cites OpenEvolve : An open-source evolutionary coding agent.

Automated Discovery Has No Universally Superior Harness OpenEvolve : An open-source evolutionary coding agent

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:08.764043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:08.764043Z digest=sha256:f519fbe6aee94dea4f6d9a6d18681d5fdba9411e870629891570bc7c8e9c8a00

Observation f459434c-6251-4287-ae49-88d658335a43 · outbound

This paper cites Mastering the game of go without human knowledge.

Automated Discovery Has No Universally Superior Harness Mastering the game of go without human knowledge

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:08.877838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:08.877838Z digest=sha256:8753adbe4054d3dcbeba197ff40f9784b4312ecfe86c316bfc2a3ceeff1c0efd

Observation 11505cee-3075-4358-921e-05c6527440ce · outbound

This paper cites Large language models as optimizers.

Automated Discovery Has No Universally Superior Harness Large language models as optimizers

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.340847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.340847Z digest=sha256:219520d61fed48e43235ab770e97fe1823910d2457f151ca07ca3507a38038a8

Observation 283fb034-ca30-458f-a2d9-119525cb92f6 · outbound

This paper cites Reevo: Large language models as hyper-heuristics with reflective evolution.

Automated Discovery Has No Universally Superior Harness Reevo: Large language models as hyper-heuristics with reflective evolution

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.409534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.409534Z digest=sha256:f321457c475bcd25be4f8e3a7bc6dec50b127632c732e275d58ce6162d511eda

Observation 37d9f92f-4c41-441c-86f8-b8913c28abe2 · outbound

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

Automated Discovery Has No Universally Superior Harness AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.602736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.602736Z digest=sha256:acee8f3cbc238f1baf1b1ce0434a20e0d452f6395bc031beb0b05d73f9f17651

Observation b8d65cdb-3ccc-420c-bfbf-b643abb32537 · outbound

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

Automated Discovery Has No Universally Superior Harness ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.657522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.657522Z digest=sha256:c4585de82211e7752ce4837c27a39b90c1e575c50adca31e3bb6f3f5aefb2ad5

Observation 7b51aa8e-973a-4291-a7b6-0a947ef1361d · outbound

This paper cites Nature , volume=.

Automated Discovery Has No Universally Superior Harness Nature , volume=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.738114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.738114Z digest=sha256:de25c9e344c86cb3297989b1097de2b5097dae9afa4f7801a21101df89e989f5

Observation cfc18230-b724-4080-8f22-c182260cc334 · outbound

This paper cites Learning to Discover at Test Time.

Automated Discovery Has No Universally Superior Harness Learning to Discover at Test Time

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.809296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.809296Z digest=sha256:71c1bc78097d535a32d625a7e88537bbfe946d2be258f9528d13397c6e33bbde

Observation 584677a5-b1d4-42dd-91de-d243bdce351a · outbound

This paper cites arXiv preprint arXiv:2602.20133 , year=.

Automated Discovery Has No Universally Superior Harness arXiv preprint arXiv:2602.20133 , year=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.886817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.886817Z digest=sha256:c9867a8981e2a102e5bf25529a2dc9fccffb4a78a348026b504ea7f1c667a138

Observation f9e8894e-322d-4591-845d-8124e991d98d · outbound

This paper cites an unresolved cited work.

Automated Discovery Has No Universally Superior Harness Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.937377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.937377Z digest=sha256:05e1ddaddb5df444016d9517fb36221ca099cbad75d94b5f050405b4e98bf081

Observation 97c8e9ee-c926-4094-ae87-d39daf286040 · outbound

This paper cites arXiv preprint arXiv:2602.02919 , year=.

Automated Discovery Has No Universally Superior Harness arXiv preprint arXiv:2602.02919 , year=

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:09.999607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:09.999607Z digest=sha256:64d2af093172de2b203e1d9ec3dfe3e0c5a28f654a30f6e3dc6849fdae4a52d6

Observation fb51c9ba-2763-488d-ab73-bbce4f3a4d69 · outbound

This paper cites nature , volume=.

Automated Discovery Has No Universally Superior Harness nature , volume=

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.094357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.094357Z digest=sha256:6469b8e418d0a6b8eb05e75b374351e7b42e7f6fe05df793b858fb61432fd9ff

Observation 99caf9e3-6272-46ab-8c36-389b414730b6 · outbound

This paper cites European conference on machine learning , pages=.

Automated Discovery Has No Universally Superior Harness European conference on machine learning , pages=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.136505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.136505Z digest=sha256:a7abeaefc648da33f3083dd532e1c6c2a922b9c972d38683efb0801590350918

Observation e70378b3-57c7-4ca1-963d-6ac3e8166e0d · outbound

This paper cites arXiv preprint arXiv:2602.16805 , year=.

Automated Discovery Has No Universally Superior Harness arXiv preprint arXiv:2602.16805 , year=

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.211089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.211089Z digest=sha256:0074fee5f3c349ba4c4b7dd2d2a24c441140f08bdd98aee27bad930c44b8dfef

Observation 1f0488fd-404f-4e67-9aec-fd2283ca9a62 · outbound

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

Automated Discovery Has No Universally Superior Harness Meta-Harness: End-to-End Optimization of Model Harnesses

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.266393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.266393Z digest=sha256:a221f50ca4367ead1533ab5cbd6775f025d2bc6ac76e9f7a79d304c4d16bc6eb

Observation a4318ead-9a81-47bf-80a7-6c1c814c7641 · outbound

This paper cites 2025 , eprint=.

Automated Discovery Has No Universally Superior Harness 2025 , eprint=

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.333599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.333599Z digest=sha256:9f78e0a59248a28fe36c33ffe9936cd6e2b1203062930766dfcafe537be3ea67

Observation 3f1aa257-1d4d-4a52-9874-f237e2eaab31 · outbound

This paper cites Qwen3 Technical Report.

Automated Discovery Has No Universally Superior Harness Qwen3 Technical Report

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.400168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.400168Z digest=sha256:b6f00906f1b3cf5fbce39752aef17b74ea1ec8f83d3f7eb54b9a8f63be0819e1

Observation b9643867-f4fd-4ddf-94f2-bd8b26b60f95 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Automated Discovery Has No Universally Superior Harness gpt-oss-120b & gpt-oss-20b Model Card

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.460456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.460456Z digest=sha256:8e2a3476a98434ab87618f7c59ca40ca2e5dc613ea97c2c6ed85a0768b6da051

Observation a6ed6147-aa52-4716-9212-046f146d4a19 · outbound

This paper cites Journal of Machine learning research , volume=.

Automated Discovery Has No Universally Superior Harness Journal of Machine learning research , volume=

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.496835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.496835Z digest=sha256:131ba0da647661cd4ddf36864b0ff632a4b00ca3e2d00f23e9b1d478544bd0fc

Observation f27d9462-fe46-4a71-af92-fbd66149190c · outbound

This paper cites arXiv preprint arXiv:2602.23413 , year=.

Automated Discovery Has No Universally Superior Harness arXiv preprint arXiv:2602.23413 , year=

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.578727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.578727Z digest=sha256:816c72fbd81b04152a4f9fdc9cb4579916d8b627d9ec7e4854de3bdefd5d5035

Observation 0cdbe225-3724-4cf8-9f20-d24afbaded53 · outbound

This paper cites Self-Harness: Harnesses That Improve Themselves.

Automated Discovery Has No Universally Superior Harness Self-Harness: Harnesses That Improve Themselves

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.634027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.634027Z digest=sha256:85702c866455493e9a4decc30648caafb2593c2dc5ee953402c106ef277a6cef

Observation a5ffb63f-5631-40f7-aaff-5f61ae6947dd · outbound

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

Automated Discovery Has No Universally Superior Harness Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.787291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.787291Z digest=sha256:2287a1d6d6ef739b8b06e09e7893ba460e1f4bd4fc32270a6eb7974236913da8

Observation c0265d90-28f1-47ad-81e8-eb82e3b03734 · outbound

This paper cites arXiv preprint arXiv:2603.03329 , year=.

Automated Discovery Has No Universally Superior Harness arXiv preprint arXiv:2603.03329 , year=

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.864143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.864143Z digest=sha256:12a93de319dc7e022ea353de5cd4a39deeb18666d5fb55a5d3d0d28ec8056caa

Observation 0116be6a-387c-41de-8d50-6be8d25417a0 · outbound

This paper cites HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems.

Automated Discovery Has No Universally Superior Harness HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.918624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.918624Z digest=sha256:2fafe5e4aa8e2fb152e058aaca2dcc662663eafd2278e424a43d27d865111360

Observation b15ba22c-add5-4e9b-bcce-dee4c29d3e5c · outbound

This paper cites Code as Agent Harness.

Automated Discovery Has No Universally Superior Harness Code as Agent Harness

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:10.984866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:10.984866Z digest=sha256:12a768a41e512caeecfdf4bb2849c4b4a23174dbd896087d65b8c1972815dad8

Observation 0fa8753a-864a-4998-8c10-08cd37030b9a · outbound

This paper cites 2026 , publisher=.

Automated Discovery Has No Universally Superior Harness 2026 , publisher=

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.063841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.063841Z digest=sha256:a32e9268239c83174cf134fdc387c6032c157a82ce31cd2bd0e061cabf3db2e8

Observation fe136eeb-4ebc-432d-af73-61212dc8c252 · outbound

This paper cites International Conference on Learning Representations , volume=.

Automated Discovery Has No Universally Superior Harness International Conference on Learning Representations , volume=

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.135685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.135685Z digest=sha256:9b667cff1b01e56430745dc04cef9ee1d2df9fe5909b230c3a26b16d4ade14be

Observation 5dbf3e0c-0b50-44ee-bfa5-cc07ddb7f339 · outbound

This paper cites CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization.

Automated Discovery Has No Universally Superior Harness CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.208631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.208631Z digest=sha256:40911a44772a8a2175707660c7fa4222dea218985493edf43b75ee5a82e7dc5e

Observation cbad6ffa-a401-44e6-843b-807fe8b5c44d · outbound

This paper cites arXiv preprint arXiv:2510.06056 , year=.

Automated Discovery Has No Universally Superior Harness arXiv preprint arXiv:2510.06056 , year=

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.261361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.261361Z digest=sha256:6b319f378df7d5947b6c11f9f8b316b1314e4381cf822d862af13b0bd2e22bf6

Observation 23cf9e63-cccf-422c-ab61-433745d50ed2 · outbound

This paper cites arXiv preprint arXiv:2511.17592 , year=.

Automated Discovery Has No Universally Superior Harness arXiv preprint arXiv:2511.17592 , year=

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.360242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.360242Z digest=sha256:ad7367a04d7cc40436aa73a5aac302cc9714887800ba34a92d744d986a5b1280

Observation fde86161-2553-4a97-b669-bfc35108735d · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Automated Discovery Has No Universally Superior Harness GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.467239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.467239Z digest=sha256:807a0ad3d6c73bcda2105f3bb0785fb3e6b786d9fbab73dd934c02938893ec20

Observation 5fc3b9f1-d424-4264-9ec0-4e4d67d79ade · outbound

This paper cites Advances in neural information processing systems , volume=.

Automated Discovery Has No Universally Superior Harness Advances in neural information processing systems , volume=

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.541984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.541984Z digest=sha256:ece84e2de1932ec076b68945f975b9dc7f72c36b2fb5df3dada38148b12add94

Observation 2ef07f47-8b2f-436a-91e3-23159e9ae5a9 · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

Automated Discovery Has No Universally Superior Harness Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.620242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.620242Z digest=sha256:b69ed6f49a49289eed3cbfeb65a118022b5be64c16395487e5127a3663183f4a

Observation 9bd9feed-5b5b-476c-8266-c5d86a023b40 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Automated Discovery Has No Universally Superior Harness Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.710838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.710838Z digest=sha256:5668ccce1fc2b3cc87652a177e721a4226e22ff1aa09406e1b6ee8cc40b698da

Observation 1198574e-ad0e-4aea-b518-c1194ee50145 · outbound

This paper cites Illuminating search spaces by mapping elites.

Automated Discovery Has No Universally Superior Harness Illuminating search spaces by mapping elites

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.784626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.784626Z digest=sha256:8e9f97320dbc652f02d7b1bb047af53bd12edfbbf67354e208079b5de0f74758

Observation 2f6391c6-9ec8-416a-a6c4-86d79cbf5484 · outbound

This paper cites Evolutionary computation , volume=.

Automated Discovery Has No Universally Superior Harness Evolutionary computation , volume=

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.883604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.883604Z digest=sha256:50ebd5899e68f581e6e87b63e8f70950b42de18d65e772044a4ba6ab1adba05f

Observation a8dcea6a-eb15-4311-ba66-e6dd693537fd · outbound

This paper cites Advances in computers , volume=.

Automated Discovery Has No Universally Superior Harness Advances in computers , volume=

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:11.991613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:11.991613Z digest=sha256:c84b2858bec04b64211f42a5704235087036fc4ad805b98f5eb67fd911906c4d

Observation 5789a1c7-851e-4e90-8468-31a4480796b4 · outbound

This paper cites Artificial Intelligence , volume=.

Automated Discovery Has No Universally Superior Harness Artificial Intelligence , volume=

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:12.074467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:12.074467Z digest=sha256:7dab85bf076030b429559c6919c310d6cd1ae117774cb04ab34403a0ec2809e3

Observation f9a51896-8ea7-45b8-bbde-16f25adc542e · outbound

This paper cites Artificial intelligence and statistics , pages=.

Automated Discovery Has No Universally Superior Harness Artificial intelligence and statistics , pages=

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:12.184409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:12.184409Z digest=sha256:5f94eff4f3a43d905dc2cda7b0fb8ceed3f467d676fc5645719d6df640e35771

Observation b2a9e840-46b5-40ba-9d22-71b17413154e · outbound

This paper cites Journal of machine learning research , volume=.

Automated Discovery Has No Universally Superior Harness Journal of machine learning research , volume=

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:12.329111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:12.329111Z digest=sha256:9516c94a72211e4d9ef992e9a50858b08115f643429d6626432af196b951b709

Observation a32d7a8b-e06c-474e-b319-a609d77f3d54 · outbound

This paper cites Proceedings of machine learning and systems , volume=.

Automated Discovery Has No Universally Superior Harness Proceedings of machine learning and systems , volume=

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:12.467090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:12.467090Z digest=sha256:77aabcd4c811f3f4f765a3a8b223fe794ded0fadb4261191ec0d3ebf3457b5d5

Observation f3f65796-3dc7-4db1-a7d0-3574b1cd8629 · outbound

This paper cites ThetaEvolve: Test-time Learning on Open Problems.

Automated Discovery Has No Universally Superior Harness ThetaEvolve: Test-time Learning on Open Problems

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:12.654826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:12.654826Z digest=sha256:3490dc0b668e8062f3e05cbfb995e506fe6a6411d0ed0344c2668cf2f3286505

Observation 233f6998-bb59-4f17-a413-4999676ecd4e · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Automated Discovery Has No Universally Superior Harness Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:12.842829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:12.842829Z digest=sha256:471ecb4b6ffa9b497fe8dcd1406640ed99d5c42871c122259bc65636d7a52276

Observation 9a2f80d1-1b8c-49da-a2bf-13729cf39756 · outbound

This paper cites Uncertainty in artificial intelligence , pages=.

Automated Discovery Has No Universally Superior Harness Uncertainty in artificial intelligence , pages=

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:12.955928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:12.955928Z digest=sha256:7491eec2695d9da60eb04bb926c81a6539eba321a786ff17681382a986920460

Observation 2694b3bb-c8e9-48fc-b032-b49b5ab174a7 · outbound

This paper cites NAS evaluation is frustratingly hard.

Automated Discovery Has No Universally Superior Harness NAS evaluation is frustratingly hard

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.138420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.138420Z digest=sha256:600f52e8bc3c948acd775ff99674077efb9b84ff88f253cb57b0a5c9687f9b42

Observation a77189c3-1dd9-4539-9ea6-6ff5dd4c655f · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Automated Discovery Has No Universally Superior Harness Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.319250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.319250Z digest=sha256:a52b6c92e21240828b5f8b4614fd873198bdedc6d6648ccb4d8ccbbd2ddfd16d

Observation e0e60868-f78f-4d10-a063-44f7bd8a05c5 · outbound

This paper cites AI Agents That Matter.

Automated Discovery Has No Universally Superior Harness AI Agents That Matter

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.438669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.438669Z digest=sha256:fd532c56b399559dced88f1f54f6f2ab3e69f70dadf3cfbbf315ae717eb0c2d8

Observation a667505c-44ba-419f-b633-501027ad37ef · outbound

This paper cites LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search.

Automated Discovery Has No Universally Superior Harness LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.575822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.575822Z digest=sha256:e9896c5fdafa65ba491a5f5f4f708eb73e74cec651b8118c5cd0e955550cc82f

Observation 80ac4220-2816-4bbb-8918-15237b34aaf6 · outbound

This paper cites Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits.

Automated Discovery Has No Universally Superior Harness Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.618376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.618376Z digest=sha256:64d26c574a90af759f05d10654f1b994eb8965d47ec96a767e82f20648d7fa29

Observation 00a78d16-766d-467f-878d-82f5b625e3dd · outbound

This paper cites Effective Harness Engineering for Algorithm Discovery with Coding Agents.

Automated Discovery Has No Universally Superior Harness Effective Harness Engineering for Algorithm Discovery with Coding Agents

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.764040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.764040Z digest=sha256:f246a8b6a7f7cf6f4ce2dc2febdd24ff952eb8c1d211232bf6d7630a03a7fe66

Observation a235660e-3535-4370-8933-e52e9e140505 · outbound

This paper cites HARBOR: Automated Harness Optimization.

Automated Discovery Has No Universally Superior Harness HARBOR: Automated Harness Optimization

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.836123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.836123Z digest=sha256:75bccaefd70294f7e1404f595c407a91241474a434318abe1b15396fb4c6e252

Observation 85770459-fc5f-4c62-8b68-05e154668116 · outbound

This paper cites Continual Harness: Online Adaptation for Self-Improving Foundation Agents.

Automated Discovery Has No Universally Superior Harness Continual Harness: Online Adaptation for Self-Improving Foundation Agents

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:13.907544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:13.907544Z digest=sha256:19d903d2ffe264d0789766e7f9d5897569b926c92fe3665f51e7cd32759250e0

Observation 981c6ec4-72ba-4f90-9728-e8d9d6f646cf · outbound

This paper cites What Do Evolutionary Coding Agents Evolve?.

Automated Discovery Has No Universally Superior Harness What Do Evolutionary Coding Agents Evolve?

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:14.026706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:14.026706Z digest=sha256:de311046ea0e970fae3213cfa0d8197a96300cf7c0951c7f58f18df19c2e66de

Observation 4a530d5b-e134-4717-ba04-bd7c39f549b7 · outbound

This paper cites International Conference on Learning Representations , volume=.

Automated Discovery Has No Universally Superior Harness International Conference on Learning Representations , volume=

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:14.108643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:14.108643Z digest=sha256:a58a974523a93d611aca702df29ed18304eb9ec1f0393887ee2ee034278906e9

Observation fd2cd67d-ee8e-41d4-9a8f-4160b0e38561 · outbound

This paper cites International Conference on Learning Representations , volume=.

Automated Discovery Has No Universally Superior Harness International Conference on Learning Representations , volume=

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:14.189478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:14.189478Z digest=sha256:e95d1ef35c9b22982eb15d17b3fa3480d71e28402d8f70d8e6ddee367e3aa9be

Observation 9ac868bd-d71d-4000-b053-2c7877485740 · outbound

This paper cites Archon: An Architecture Search Framework for Inference-Time Techniques.

Automated Discovery Has No Universally Superior Harness Archon: An Architecture Search Framework for Inference-Time Techniques

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-01T15:40:14.260313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:40:14.260313Z digest=sha256:f873c53583005e2b586176154e1e9ec1911564bdc4d7bf23f7cc6f34cd9774a8

Pith citing papers

Observation cb277738-e524-41cb-91c2-f2be7072bf6b · inbound

Efficiency Matters in Autonomous Research cites this paper.

Efficiency Matters in Autonomous Research Automated Discovery Has No Universally Superior Harness

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-07-31T09:14:06.273778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T09:14:06.273778Z digest=sha256:c8f99dfae515d87de94c61d572de4cf9ce76f8db91534a9b891ce8f3031f2343