Paper Citation Record · LEDGER

Code as Agent Harness

As of 5 August 2026, this Paper Citation Record lists 100 of 296 outbound references and 20 inbound Pith citation observations for arXiv:2605.18747.

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

pith.paper-citation-record.v1
2605.18747 v1

Coverage vector

measured 100 of 296 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T10:54:54.558241Z

measured 120 of 120 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:56:56.444199Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:57:42.237438Z

Reference resolution

100 of 296 outbound references displayed

verified exact45
verified fuzzy51
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72865078-2dc3-421a-b770-a968e68bde9b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Code as Agent Harness Evaluating Large Language Models Trained on Code

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.593029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 565bde0e-5fac-41cc-bca9-333ea88c7674 · outbound

This paper cites Program Synthesis with Large Language Models.

Code as Agent Harness Program Synthesis with Large Language Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.598577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5060f31d-77da-454f-b6ac-6fb5b8031f2e · outbound

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

Code as Agent Harness CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.604489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42fa2780-eb86-442b-8838-d65ee6051acd · outbound

This paper cites Competition-level code generation with alphacode.Science, 378(6624):1092–1097.

Code as Agent Harness Competition-level code generation with alphacode.Science, 378(6624):1092–1097

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.854831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6d8fdd2d-0aeb-46a4-ad73-acbb56f8f9f3 · outbound

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

Code as Agent Harness SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.589779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 644ebf91-4758-422c-ba8b-0cf9b600fe1c · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Code as Agent Harness Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.601587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6c776ed-2d70-41b6-a351-0de009a72d1d · outbound

This paper cites Pal: Program-aided language models.

Code as Agent Harness Pal: Program-aided language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.852744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ae524aa-c665-4ebb-a85a-7843d92a1443 · outbound

This paper cites Chain of Code: Reasoning with a Language Model-Augmented Code Emulator.

Code as Agent Harness Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.596011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79eaebcd-3a1f-471c-abe6-152f95aa8cbf · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Code as Agent Harness Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.607478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5855829-27e1-4879-af1e-e031212a392b · outbound

This paper cites Code as policies: Language model programs for embodied control.

Code as Agent Harness Code as policies: Language model programs for embodied control

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.774031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ed9be55-4d78-4387-a56f-21c85bf87831 · outbound

This paper cites Intercode: Standardizing and benchmarking interactive coding with execution feedback.Advances in Neural Information Processing Systems, 36:23826–23854.

Code as Agent Harness Intercode: Standardizing and benchmarking interactive coding with execution feedback.Advances in Neural Information Processing Systems, 36:23826–23854

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.779491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19d9027c-8f82-4dfa-b0a4-f9753513349d · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Code as Agent Harness AgentBench: Evaluating LLMs as Agents

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.168982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de0be889-0400-4a27-b736-c98c7af1ec5c · outbound

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

Code as Agent Harness Meta-Harness: End-to-End Optimization of Model Harnesses

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.141405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62091a2a-0c50-4260-b9b1-6ff35083e5f4 · outbound

This paper cites Effective harnesses for long-running agents.

Code as Agent Harness Effective harnesses for long-running agents

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.804948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13a4d9e4-1f5e-4d85-9ed4-bccd3c7270c9 · outbound

This paper cites Harness engineering: Leveraging codex in an agent-first world.https://openai.

Code as Agent Harness Harness engineering: Leveraging codex in an agent-first world.https://openai

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.546868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c9c18424-cedc-4d73-a54a-5d01a763ca36 · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

Code as Agent Harness Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.557342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff6d6d18-74b5-476f-bb63-1c6fc777c865 · outbound

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

Code as Agent Harness GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.568744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1490ede-d7c8-4a16-b2d5-b929bbfdd4e1 · outbound

This paper cites ToolCoder: Teach Code Generation Models to use API search tools.

Code as Agent Harness ToolCoder: Teach Code Generation Models to use API search tools

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.532884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6380dea5-89f4-406d-aabf-21643f193f89 · outbound

This paper cites Teaching code llms to use autocompletion tools in repository-level code generation.ACM Transactions on Software Engineering and Methodology, 34(7):1–27.

Code as Agent Harness Teaching code llms to use autocompletion tools in repository-level code generation.ACM Transactions on Software Engineering and Methodology, 34(7):1–27

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.683066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 433d2d70-ab53-4ec8-a24e-daa34df42ad8 · outbound

This paper cites Execution guided line-by-line code generation.

Code as Agent Harness Execution guided line-by-line code generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.535672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f789340d-971e-4f5e-b7f7-adfcbeaa294c · outbound

This paper cites Computer Environments Elicit General Agentic Intelligence in LLMs.

Code as Agent Harness Computer Environments Elicit General Agentic Intelligence in LLMs

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.504211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 111c2bbb-117e-4e6b-b032-9002a60c9802 · outbound

This paper cites Feedbackeval: A benchmark for evaluating large language models in feedback-driven code repair tasks.

Code as Agent Harness Feedbackeval: A benchmark for evaluating large language models in feedback-driven code repair tasks

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.467724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6ebfaee-be97-49e2-88a5-c0d06ec15d78 · outbound

This paper cites Harness engineering: Leveraging codex in an agent-first world.

Code as Agent Harness Harness engineering: Leveraging codex in an agent-first world

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.835905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7de584e4-adce-4a0a-8038-64b5e55cb12d · outbound

This paper cites The anatomy of an agent harness.

Code as Agent Harness The anatomy of an agent harness

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.833931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bfc2c5cc-e85c-4ab8-a495-fbb0f2a2986b · outbound

This paper cites Claude code.

Code as Agent Harness Claude code

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.617795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de352bb3-0f6c-46d4-bde1-53f79027e064 · outbound

This paper cites Introducing Codex.

Code as Agent Harness Introducing Codex

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.772546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0fe19308-cc69-4760-88de-aa1e28baaf8d · outbound

This paper cites Improving deep agents with harness engineering.

Code as Agent Harness Improving deep agents with harness engineering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.725144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 926abe06-0691-4574-8912-937516e02f74 · outbound

This paper cites Satlm: Satisfiability-aided language models using declarative prompting.Advances in Neural Information Processing Systems, 36:45548–45580.

Code as Agent Harness Satlm: Satisfiability-aided language models using declarative prompting.Advances in Neural Information Processing Systems, 36:45548–45580

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.837932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 38b6bc2c-4ef0-4cb9-b488-01ba34986627 · outbound

This paper cites NExT: Teaching Large Language Models to Reason about Code Execution.

Code as Agent Harness NExT: Teaching Large Language Models to Reason about Code Execution

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.517676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce33b0b7-ed78-4dcc-99c5-e8156bd81e77 · outbound

This paper cites Codeprm: Execution feedback-enhanced process reward model for code generation.

Code as Agent Harness Codeprm: Execution feedback-enhanced process reward model for code generation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.774746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 81ae367b-5fc6-45b9-80c4-e17b5b1519fe · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Code as Agent Harness Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.484966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5d2b6f99-f226-4101-a6df-ba9ea8725705 · outbound

This paper cites RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

Code as Agent Harness RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.309078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 264137a1-e1d6-4999-9369-4f448be66327 · outbound

This paper cites Code- bt: A code-driven approach to behavior tree generation for robot tasks planning with large language models.

Code as Agent Harness Code- bt: A code-driven approach to behavior tree generation for robot tasks planning with large language models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.711965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f36f6e1-50f8-4e76-a570-6e8b0047b9b6 · outbound

This paper cites Ui-voyager: A self-evolving gui agent learning via failed experience.

Code as Agent Harness Ui-voyager: A self-evolving gui agent learning via failed experience

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.268100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c30c19e-8e51-4b52-b21a-32c5bc9bdfe1 · outbound

This paper cites an unresolved cited work.

Code as Agent Harness Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-05-20T14:03:30.839834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ddd27f3-d1e2-4a48-83e5-77db0b6cca91 · outbound

This paper cites Cwm: An open-weights llm for research on code generation with world models.

Code as Agent Harness Cwm: An open-weights llm for research on code generation with world models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.401245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3c35c3cf-3a60-40ac-80f8-c296d34d6da3 · outbound

This paper cites Code2world: A gui world model via renderable code generation.

Code as Agent Harness Code2world: A gui world model via renderable code generation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.383201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8d1e63b-dd6f-4428-b01e-57f2b4e3d689 · outbound

This paper cites Endless terminals: Scaling rl environments for terminal agents.

Code as Agent Harness Endless terminals: Scaling rl environments for terminal agents

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.432249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7eefce52-8556-43d1-9a05-66ba87570b4d · outbound

This paper cites Self-planning code generation with large language models.ACM Transactions on Software Engineering and Methodology, 33(7):1–30.

Code as Agent Harness Self-planning code generation with large language models.ACM Transactions on Software Engineering and Methodology, 33(7):1–30

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.760555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c31d85a3-8433-4499-a2cb-97c46bd51cfa · outbound

This paper cites A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.

Code as Agent Harness A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.340512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58836e30-c8ec-4425-bfc1-6ee217d538f1 · outbound

This paper cites Codeplan: Repository-level coding using llms and planning.Proceedings of the ACM on Software Engineering, 1(FSE):675–698.

Code as Agent Harness Codeplan: Repository-level coding using llms and planning.Proceedings of the ACM on Software Engineering, 1(FSE):675–698

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.756444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b15fbd8f-9c68-4186-990c-7f8fe48172ed · outbound

This paper cites Codetree: Agent-guided tree search for code generation with large language models.

Code as Agent Harness Codetree: Agent-guided tree search for code generation with large language models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.772168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation faa4ea4e-01a5-4696-96e9-76855bfa7d62 · outbound

This paper cites Mapcoder: Multi-agent code generationforcompetitiveproblemsolving.

Code as Agent Harness Mapcoder: Multi-agent code generationforcompetitiveproblemsolving

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.842030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6974d82-4233-425e-a53e-4ff749156ee1 · outbound

This paper cites Codemem: Architectingreproducible agents via dynamic mcp and procedural memory.

Code as Agent Harness Codemem: Architectingreproducible agents via dynamic mcp and procedural memory

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.336840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be6dcead-5c69-4d72-9a19-efa867ab3e8c · outbound

This paper cites Autocoderover: Autonomous program improvement.

Code as Agent Harness Autocoderover: Autonomous program improvement

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.754362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6e7a73b-0d27-4dea-bfd0-7e9bec458a07 · outbound

This paper cites Repocoder: Repository-level code completion through iterative retrieval and generation.

Code as Agent Harness Repocoder: Repository-level code completion through iterative retrieval and generation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.459883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e94e8e3-180e-43f8-aaad-c607b9ac5171 · outbound

This paper cites Memgovern: Enhancing code agents through learning from governed human experiences.

Code as Agent Harness Memgovern: Enhancing code agents through learning from governed human experiences

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.283872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 23612896-7f42-42fc-a090-c83edecbdecc · outbound

This paper cites ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph.

Code as Agent Harness ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.246963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a643d2c-0598-4c53-b323-305f3f028d0b · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Code as Agent Harness AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.297813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d8362e79-4ad3-4e5c-96ab-f51ad51b9803 · outbound

This paper cites Adacoder: Adaptive prompt compression for programmatic visual question answering.

Code as Agent Harness Adacoder: Adaptive prompt compression for programmatic visual question answering

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.844124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de3b250f-7984-4e84-8ffa-ac4f667740a0 · outbound

This paper cites AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing.

Code as Agent Harness AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.583424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7306c55a-f1ad-4496-8089-077eff3ec87c · outbound

This paper cites Agent harness engineering: A survey.

Code as Agent Harness Agent harness engineering: A survey

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.778085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a966c2e-2971-42af-84c2-0dd189aee23a · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversations.

Code as Agent Harness Autogen: Enabling next-gen llm applications via multi-agent conversations

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.539542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd118331-d3df-4b49-be96-88d064011fb4 · outbound

This paper cites Metagpt: MetaprogrammingforAmulti-agentcollaborativeframework.

Code as Agent Harness Metagpt: MetaprogrammingforAmulti-agentcollaborativeframework

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.672633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 72dd6ad3-8f77-43c1-9d84-b4b50f8eccf1 · outbound

This paper cites an unresolved cited work.

Code as Agent Harness Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-05-20T14:03:30.717206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6428f340-d73f-4f01-9faf-880ab543fc92 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652.

Code as Agent Harness Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.745606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c5b452a-5ff9-4a68-a850-5ca17c52a838 · outbound

This paper cites Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H.

Code as Agent Harness Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.534017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11839a3d-f82a-4f0a-97ca-e5ba6292e97d · outbound

This paper cites Mind2web: Towards a generalist agent for the web.

Code as Agent Harness Mind2web: Towards a generalist agent for the web

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.738215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 25ae2070-6995-4fda-a660-cfdaea95fe83 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Code as Agent Harness WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 60

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T10:58:14.225716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 23b85001-224e-4b7c-b352-ac0aedad8a95 · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

Code as Agent Harness ChemCrow: Augmenting large-language models with chemistry tools

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.235874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6cdb523-abdc-4b6f-b936-e751c82bb229 · outbound

This paper cites Autonomous chemical research with large language models.Nature, 624(7992):570–578.

Code as Agent Harness Autonomous chemical research with large language models.Nature, 624(7992):570–578

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.850487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 77dc1f0d-ee4d-4783-989b-ef342d2af1e5 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Code as Agent Harness The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.177934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 77c8cc45-e424-4a14-89ec-f556f807c7e0 · outbound

This paper cites Biomni: A general-purpose biomedical ai agent.biorxiv.

Code as Agent Harness Biomni: A general-purpose biomedical ai agent.biorxiv

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.787533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 106f8ee7-0fd4-4713-898c-469fcd87a30d · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837.

Code as Agent Harness Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.576827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 65c3a7a4-259f-47b3-a2d7-6ffec4d1780b · outbound

This paper cites Show your work: Scratchpads for intermediate computation with language models.

Code as Agent Harness Show your work: Scratchpads for intermediate computation with language models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.627123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4118a341-7994-4f22-b270-6790a31e65e1 · outbound

This paper cites Reasoning like program executors.

Code as Agent Harness Reasoning like program executors

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.761414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3df5e4aa-3530-413b-a8fc-a265b487c964 · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Code as Agent Harness MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.192945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a3355e07-2485-4035-b694-5d41d3b68a69 · outbound

This paper cites When do program-of-thought works for reasoning? InProceedings of the AAAI conference on artificial intelligence, volume 38, pages 17691–17699.

Code as Agent Harness When do program-of-thought works for reasoning? InProceedings of the AAAI conference on artificial intelligence, volume 38, pages 17691–17699

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.732811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6c7dd43-08b0-49cb-ad33-a92aa2314631 · outbound

This paper cites Towards better understanding of program-of-thought reasoning in cross-lingual and multilingual environments.

Code as Agent Harness Towards better understanding of program-of-thought reasoning in cross-lingual and multilingual environments

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.780479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3e4049b-ae13-4ced-9f0b-64bd7b3ba692 · outbound

This paper cites Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement.

Code as Agent Harness Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.151385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 127817bf-c411-458e-a610-e9029a0006fc · outbound

This paper cites Code- enabled language models can outperform reasoning models on diverse tasks.

Code as Agent Harness Code- enabled language models can outperform reasoning models on diverse tasks

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.162603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 00f0539d-1d94-43ab-8dd0-34c66f5a5623 · outbound

This paper cites CodeIO: Condensing reasoning patterns via code input-output prediction.

Code as Agent Harness CodeIO: Condensing reasoning patterns via code input-output prediction

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.585674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c92a7b2-1c28-4dcc-9243-fdf522efb01c · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Code as Agent Harness Graph of thoughts: Solving elaborate problems with large language models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.655555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de50c086-ed5c-4da7-9703-00019c8bd6ae · outbound

This paper cites Self-verifying reflection helps transformers with cot reasoning.

Code as Agent Harness Self-verifying reflection helps transformers with cot reasoning

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.138371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 605452b3-8114-4471-8d60-85cc9a0d4414 · outbound

This paper cites Ma-lot: Multi-agent lean-based long chain-of-thought reasoning enhances formal theorem proving.arXiv e-prints, pages arXiv–2503.

Code as Agent Harness Ma-lot: Multi-agent lean-based long chain-of-thought reasoning enhances formal theorem proving.arXiv e-prints, pages arXiv–2503

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.624681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 524ce744-1497-4cc8-a535-35b5661e39e1 · outbound

This paper cites Ssr: Socratic self-refine for large language model reasoning.

Code as Agent Harness Ssr: Socratic self-refine for large language model reasoning

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.181301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f9916de-7c19-4ba1-8705-1b7a8f6b801e · outbound

This paper cites CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance.

Code as Agent Harness CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.273239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0fc96cfe-c9b4-42f9-b4e9-4dda03bd4965 · outbound

This paper cites Code-as-symbolic-planner: Foundation model-based robot planning via symbolic code generation.

Code as Agent Harness Code-as-symbolic-planner: Foundation model-based robot planning via symbolic code generation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.752436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5ad446b-b3e5-4f2e-a25b-8856bcb59c0c · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

Code as Agent Harness In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 80

Resolution: malformed identifier; doi_truncated, observed 2026-05-20T10:58:13.305883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cda72ea1-a8d5-40d5-b286-9140d1692ed1 · outbound

This paper cites The lean 4 theorem prover and programming language.

Code as Agent Harness The lean 4 theorem prover and programming language

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.539766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5eb10634-a151-440d-8272-581dad1d59e9 · outbound

This paper cites Springer.

Code as Agent Harness Springer

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.728612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21fc1540-a925-4619-a328-ede39c140e8f · outbound

This paper cites The coq proof assistant reference manual.INRIA, version, 6(11):17–21.

Code as Agent Harness The coq proof assistant reference manual.INRIA, version, 6(11):17–21

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.677897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 322c5271-aa46-4c4f-b712-ecfee8c52438 · outbound

This paper cites Leandojo: Theorem proving with retrieval-augmented lan- guage models.Advances in Neural Information Processing Systems, 36:21573–21612.

Code as Agent Harness Leandojo: Theorem proving with retrieval-augmented lan- guage models.Advances in Neural Information Processing Systems, 36:21573–21612

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.846274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8d4cb0cc-1881-4775-b49b-69a39c5b6cb7 · outbound

This paper cites Deepseek-prover-v1.

Code as Agent Harness Deepseek-prover-v1

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.828921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fee37aae-b697-445a-acb9-3432d52d0b60 · outbound

This paper cites Theoreml- lama: Transforming general-purpose llms into lean4 experts.

Code as Agent Harness Theoreml- lama: Transforming general-purpose llms into lean4 experts

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.848348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cdc54fab-8aca-4236-be74-d2fec9198d4b · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

Code as Agent Harness DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.404450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f8de2b03-5ae1-479b-824b-0d8c99637418 · outbound

This paper cites Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning.

Code as Agent Harness Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.386753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 549db9fb-e20e-493e-b34c-404cd30bc56c · outbound

This paper cites Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction.

Code as Agent Harness Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:53:10.886894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f46de49-0b3a-457b-ba3f-3d54fa207d40 · outbound

This paper cites Let’s reason formally: Natural-formal hybrid reasoning enhances llm’s math capability.

Code as Agent Harness Let’s reason formally: Natural-formal hybrid reasoning enhances llm’s math capability

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.592972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a9318171-fd31-401c-8fae-14ecc7c4f5ea · outbound

This paper cites Lean4physics: Comprehensive reasoning framework for college-level physics in lean4.

Code as Agent Harness Lean4physics: Comprehensive reasoning framework for college-level physics in lean4

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.316100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 118a986b-1963-4640-a0a2-1a0e78c39f6d · outbound

This paper cites Physlib: The lean physics library.

Code as Agent Harness Physlib: The lean physics library

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.685476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1195e4fd-ee45-4d3a-b61d-1e22765334a0 · outbound

This paper cites VERINA: Bench- marking Verifiable Code Generation.

Code as Agent Harness VERINA: Bench- marking Verifiable Code Generation

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.333428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 151f3cc4-2746-42ff-8ab5-311c351fc141 · outbound

This paper cites Goedel-code-prover: Hierarchical proof search for open state-of-the-art code verification.

Code as Agent Harness Goedel-code-prover: Hierarchical proof search for open state-of-the-art code verification

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.361102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85bcb230-f0be-4e03-b59a-0e173d83088a · outbound

This paper cites Lean4agent: Formal modeling and verification for agent workflow and trajectory.Preprint.

Code as Agent Harness Lean4agent: Formal modeling and verification for agent workflow and trajectory.Preprint

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.789740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7fb5fcd8-e0e4-4af4-9697-72fef103eb5b · outbound

This paper cites What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces.

Code as Agent Harness What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.560624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76e3a7e2-e4c0-4404-9ab0-152fada9cb12 · outbound

This paper cites Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation.

Code as Agent Harness Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.257707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation deba4a20-6d3b-4da8-b1a3-f9a0f8d22bc2 · outbound

This paper cites Cycle: Learning to self-refine the code generation.Proceedings of the ACM on Programming Languages, 8(OOPSLA1):392–418.

Code as Agent Harness Cycle: Learning to self-refine the code generation.Proceedings of the ACM on Programming Languages, 8(OOPSLA1):392–418

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.787244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c16632a-bd9b-43bb-bca8-d0ff18f47451 · outbound

This paper cites Self-edit: Fault-aware code editor for code generation.

Code as Agent Harness Self-edit: Fault-aware code editor for code generation

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.785656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4a5a02cc-0a66-4ae8-8568-344510e5231b · outbound

This paper cites Coderl: Mastering code generation through pretrained models and deep reinforcement learning.Advances in Neural Information Processing Systems, 35:21314–21328.

Code as Agent Harness Coderl: Mastering code generation through pretrained models and deep reinforcement learning.Advances in Neural Information Processing Systems, 35:21314–21328

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:30.690557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c6a563f-8d8c-4ba8-ad5f-9cff54d5c9dc · outbound

This paper cites CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment.

Code as Agent Harness CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment

Reference 101

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:58:14.219194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 543c0465-a3c1-499b-acca-de62847597bd · inbound

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI cites this paper.

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI Code as Agent Harness

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:33:59.180180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b83a842c-ce63-41e1-bea1-200fbac12a7a · inbound

Governed Evolution of Agent Runtimes through Executable Operational Cognition cites this paper.

Governed Evolution of Agent Runtimes through Executable Operational Cognition Code as Agent Harness

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:33:39.506560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 163d4fea-7154-4d55-a967-6a8794ef4e99 · inbound

MUSE: A Unified Agentic Harness for MLLMs cites this paper.

MUSE: A Unified Agentic Harness for MLLMs Code as Agent Harness

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:06:26.907703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37a210ea-144e-4043-920c-2b74351bd361 · inbound

Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation cites this paper.

Demonstrating chart-plot: Closing the Last Mile of Academic Chart Generation Code as Agent Harness

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:17:35.441560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a77d76a-9f9f-45c3-a950-ec7affbeedbf · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters Code as Agent Harness

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:47:32.168690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d9192c8-1b7d-4d33-a1eb-bc3afe6a125e · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters Code as Agent Harness

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-29T15:23:33.007008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b39faff1-2770-4520-9313-9923e81dd4d6 · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Code as Agent Harness

Reference 294

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:48:03.216826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e80f71d-1931-439a-aa86-1564d9108f4e · inbound

From Question Answering to Task Completion: A Survey on Agent System and Harness Design cites this paper.

From Question Answering to Task Completion: A Survey on Agent System and Harness Design Code as Agent Harness

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:58:43.795053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 91a37ffd-e715-4d02-939f-3a1b62af9523 · inbound

LemonHarness Technical Report cites this paper.

LemonHarness Technical Report Code as Agent Harness

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T16:59:57.820928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9a64945-820c-4806-a882-bfddecab129d · inbound

Object-Centric Environment Modeling for Agentic Tasks cites this paper.

Object-Centric Environment Modeling for Agentic Tasks Code as Agent Harness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T06:39:21.435864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeb623de-5b40-4ab5-a451-093061820f8d · inbound

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe cites this paper.

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Code as Agent Harness

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T02:24:07.555850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4feb195b-af34-4dce-86cf-ab60336b8493 · inbound

Specification Grounding Drives Test Effectiveness for LLM Code cites this paper.

Specification Grounding Drives Test Effectiveness for LLM Code Code as Agent Harness

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:57:42.254847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a1fc3914-58f9-4a6f-b21e-78b7d3297255 · inbound

From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents cites this paper.

From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents Code as Agent Harness

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-10T13:37:06.769204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7ab4e873-02e3-4344-a9be-66f9c7667ec2 · inbound

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents cites this paper.

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents Code as Agent Harness

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T07:56:56.444199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949024c6-0e48-453d-b1ed-46b951b70c33 · inbound

Phantom Guardrails: When Self-Improving Agent Harnesses Fix Failures That Never Happened cites this paper.

Phantom Guardrails: When Self-Improving Agent Harnesses Fix Failures That Never Happened Code as Agent Harness

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T07:01:21.354832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae345547-85e7-4b64-9eb2-88a74682de38 · inbound

Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable cites this paper.

Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Code as Agent Harness

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T05:40:35.236585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0ebe3a-87c4-4c67-8e6e-68caf91b03b4 · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration Code as Agent Harness

Reference 161

Resolution: unresolved; no resolver link, observed 2026-08-01T23:46:32.129876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Automated Discovery Has No Universally Superior Harness cites this paper.

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.

Observation 01f1e563-e73e-492b-8520-ea0ee5174c6f · inbound

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents cites this paper.

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents Code as Agent Harness

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T09:39:44.391575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807a3351-0c6a-4460-9eb2-d48aad9f7700 · inbound

Claim Plane: Enforceable Change Intents and Dynamic Scope for Parallel Coding Agents cites this paper.

Claim Plane: Enforceable Change Intents and Dynamic Scope for Parallel Coding Agents Code as Agent Harness

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T06:27:57.645038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.