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Paper Citation Record · LEDGER

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks

As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2608.09380.

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

pith.paper-citation-record.v1
2608.09380 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:27:58.962618Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f26375e-56ad-4298-85a6-9af0b3a70593 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks ReAct: Synergizing Reasoning and Acting in Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.850006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.850006Z digest=sha256:4e4d9e6c070b2c4f25a85c7b7c5c2cc3693890b35117789c0def1f33d1fe7f13

Observation 816c8581-fb1b-4f82-8984-c6dd8eb7bafe · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks AgentBench: Evaluating LLMs as Agents

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.856815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.856815Z digest=sha256:ccbe50c1f54863a9518069e346ce1149c44f1755f106dcb09c1f94ed86b61f67

Observation 87786bf2-c7e6-417a-aa04-9517838d8462 · outbound

This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.862620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.862620Z digest=sha256:8218252a08089115cb313f019fe78a5e3fd5f25ce579517ff940d23d1254871b

Observation a315ea4a-0d71-43c3-a5ae-b348e1e6b325 · outbound

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

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.869149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.869149Z digest=sha256:ce58db8b07455b197bbfb226672003f87b1a091db872cf567478ccd046e1b7b3

Observation cf4931d1-b518-4f8d-9ff1-0ec6ef9e6706 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.875146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.875146Z digest=sha256:2d9bad695eebdb1aef0c581550d9bf4bbdf8b45566337d93980695e0281da47c

Observation bbd90916-0a7e-43c7-ae39-b5cd85e9fdce · outbound

This paper cites YC-Bench: Benchmarking AI agents for long-term planning and consistent execution,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks YC-Bench: Benchmarking AI agents for long-term planning and consistent execution,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.880809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.880809Z digest=sha256:3f9eb055c2f17dd0b277bcaa72a986d4b0cf970d65a15be9e48bc471c227cd68

Observation 8cf4b08c-2c4a-451d-898a-4f0700d2f60e · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks Generative agents: Interactive simulacra of human behavior,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.887288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.887288Z digest=sha256:643982935e8a8c0ae13a0952aacba42793cb3700478a6ceb7952079427d17676

Observation e7babd3e-6764-495d-acc1-a3e706527095 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks Reflexion: Language agents with verbal reinforcement learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.683598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.892940Z digest=sha256:861e1a6199b8a99bc2f16286e9d5cdcebe5587bbae898a8e0c3734beb7c01015

Observation 29c2253b-335d-4524-b589-3a79dc62d1af · outbound

This paper cites ExpeL: LLM agents are experiential learners,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks ExpeL: LLM agents are experiential learners,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.666889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.897978Z digest=sha256:2ca4155a227c9ff15747b8272498a230f1b63608b2401a9510e789b2d0c4238d

Observation 98d3d76d-025c-426e-807b-14a9ffb49198 · outbound

This paper cites Voyager: An open-ended embodied agent with large language models,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks Voyager: An open-ended embodied agent with large language models,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.648013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.902896Z digest=sha256:133b05c606df96db38e8d7d772ceec98287ec40bf927edace7a9a567242f3ae7

Observation d70ba899-d379-4104-b53e-cadadb1eff61 · outbound

This paper cites DSPy: Compiling declarative language model calls into self-improving pipelines,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks DSPy: Compiling declarative language model calls into self-improving pipelines,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.627854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.910824Z digest=sha256:802f57273847e97c34f8f487763b928535ec5a7a9c1ae586ea87eae6125b0dc1

Observation 73ed6c2b-7102-4a01-a4fe-ef7850155f19 · outbound

This paper cites Automated Design of Agentic Systems.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks Automated Design of Agentic Systems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.916246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.916246Z digest=sha256:ba0d4907c602c635f32e280495ee9c8b9f873a67c942924f9505660f117c15ea

Observation 5db2ea45-18d7-496c-80c5-ec3ac34a6981 · outbound

This paper cites AFlow: Automating agentic workflow generation,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks AFlow: Automating agentic workflow generation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.610862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.922005Z digest=sha256:0831900ec7b290392927829133d40caa780c42a19c9b288c41163354cbc46cfc

Observation 3feaa09a-5271-4c84-963e-b39705eebad7 · outbound

This paper cites AgentSquare: Automatic LLM agent search in modular design space,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks AgentSquare: Automatic LLM agent search in modular design space,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.592786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.927023Z digest=sha256:42bd4c30a4e2c7d0cb84f08869be58c2e9b269a809fa7dd9e8df4240dc08a6d4

Observation 608b9388-2840-47c5-9d8b-411388f05104 · outbound

This paper cites SE-Agent: Self-evolution trajectory optimization in multi-step reasoning with LLM-based agents,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks SE-Agent: Self-evolution trajectory optimization in multi-step reasoning with LLM-based agents,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.576156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.931463Z digest=sha256:2972509650785e685f61165bc7520961ed37d6c034088d144b7238fd0c24cd4c

Observation 8aa9e58d-1112-4f97-a4b8-600dbcc63cd1 · outbound

This paper cites Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:27:59.231403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.946562Z digest=sha256:0e83c339a70a886222f88d1e35b43039d74be6be892173e3b552bf36c34ec452

Observation 64bdc37c-2463-405f-885c-481b6033192e · outbound

This paper cites Champion-challenger based predictive model selection,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks Champion-challenger based predictive model selection,

Reference 18

Resolution
metadata mismatch
raw_fallback, observed 2026-08-11T18:27:59.207215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.951870Z digest=sha256:df9551854b781366855eb2c773fa3bad91248834511645b037164250dac8b20a

Observation 1657cb9b-664e-48eb-9518-463e6b58a941 · outbound

This paper cites ChaCha for online AutoML,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks ChaCha for online AutoML,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:27:59.559502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T18:27:58.956991Z digest=sha256:8a227b943df6c6b5dd36d2177a325616cc9197f5febc55fba71f0ec769755873

Observation 62c2c3b7-eb25-45f9-8a3c-f0f664bd199a · outbound

This paper cites DeepSeek-V4: Towards highly efficient million-token context intelligence,.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks DeepSeek-V4: Towards highly efficient million-token context intelligence,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.962618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.962618Z digest=sha256:19fe25ffb66e8ee47a8c0258148589af4f337e08c97b925a6aff74d11ed9ea11

Observation cfaf5bf0-6f43-40e7-bebd-6f7f2957636a · outbound

This paper cites Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting.

OpenLoopEvolve: A Verifiable Self-Evolution Framework for Loop Policies in Long-Horizon Complex Tasks Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-11T18:27:58.941309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:58.941309Z digest=sha256:e6c842b3a2b2314e8bcdf76542875ef6ab3f69b5e99d42463958d4beed5bba9a

Pith citing papers

No inbound Pith citation observations are available.