Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.04329.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:59.811303Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T01:36:24.047908Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6a5cbbb2-f5f8-48f9-8fe3-7c8d2183f0b3 · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Reference 128
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.050572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9ff10831-0046-4f06-a488-e9d69500a139 · inbound
Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.
Large Language Models for Planning: A Comprehensive and Systematic Survey CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:11:59.811303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 785a8e32-aa35-43f0-9e6e-5a24d3735d4d · inbound
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning cites this paper.
MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:15:46.251381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed9b9f76-d081-47be-bfe5-c58d17aa5a67 · inbound
MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios cites this paper.
MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:09.530511Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 882c4230-c241-4e77-bd71-ce8f3d35ecb4 · inbound
Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation cites this paper.
Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:57:13.060665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4b4d4fd-d855-419b-bcc6-841a31dfd9b1 · inbound
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs cites this paper.
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:09:46.368200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8a740f3-e769-4043-8720-3ae8c00dc4f3 · inbound
WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning cites this paper.
WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:19:46.758473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.