Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:37.571410Z
Paper Citation Record · LEDGER
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development
As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2505.16086.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T09:15:50.722199Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:59:45.569733Z
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 57b00b07-afb6-4d20-ba64-ea9719ff3a75 · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.782597Z
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.
Observation 71262754-d894-4f4a-a2d8-3c63aa8ffb1a · outbound
This paper cites LLM Critics Help Catch LLM Bugs.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development LLM Critics Help Catch LLM Bugs
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:12:36.041322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98e47070-f628-431a-ac88-05df882335ec · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.585217Z
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.
Observation 1d40cc74-272d-4687-9d18-d4850bbb55ae · outbound
This paper cites WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:12:36.251017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f28627f-3974-402b-964b-0fe607ad1f7b · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.404875Z
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.
Observation 36dee761-64ea-4b8d-9d41-123262036a44 · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.679996Z
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.
Observation f4e3ab12-0489-4a29-b318-a70e628e31d8 · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.237594Z
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.
Observation 4d2f308d-738b-49af-a260-1f452613de33 · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.494608Z
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.
Observation 6cc156d8-ba53-45b8-bbba-2e984b9963bc · outbound
This paper cites [/Experts pool] You need to recruit a total of ${number of agents} experts from the above expert pool to collaboratively solve the given task.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development [/Experts pool] You need to recruit a total of ${number of agents} experts from the above expert pool to collaboratively solve the given task
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:12:38.045532Z
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.
Observation 681e4ec4-8574-48fa-a8a7-a27b9b38d9b3 · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.306417Z
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.
Observation 10a5ce6f-4cb1-41e6-b48b-535240aad065 · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:38.132630Z
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.
Observation f8935d43-7e96-4562-8f22-c4d6afbb098e · outbound
This paper cites Also, make sure that you only give a high score when the solution code is really good at satisfying the definition of the evaluation dimension.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Also, make sure that you only give a high score when the solution code is really good at satisfying the definition of the evaluation dimension
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:12:37.969111Z
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.
Observation d7b08d7d-f738-412f-aef9-f665d7bb29af · outbound
This paper cites an unresolved cited work.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:12:37.871770Z
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.
Observation 1353e1ea-4895-410a-a754-6a1c95e2341a · outbound
This paper cites Figure 11: System and user prompt for the locator.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Figure 11: System and user prompt for the locator
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:12:37.771103Z
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.
Observation 3d8921f6-1766-48cb-933d-8a5b6c724a3d · outbound
This paper cites gradient descent.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development gradient descent
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:12:36.161058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91b3e1b9-12ac-4838-af70-ffc9c0e8bcb1 · outbound
This paper cites Are Large Language Models Good Prompt Optimizers?.
Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development Are Large Language Models Good Prompt Optimizers?
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:12:35.988542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 99e7ba12-07d0-4657-a0d8-cac8af1da849 · inbound
MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems? cites this paper.
MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems? Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:59:45.571119Z
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.