Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SocraSynth: Multi-LLM Reasoning with Conditional Statistics
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.06634.
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 2026-08-16T05:19:57.446872Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0899e5c3-7718-4c8c-ba49-65bba25aae15 · inbound
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition cites this paper.
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:19:57.446872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7da8b93a-0458-44ba-8c34-96ac77968931 · inbound
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering cites this paper.
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:53:21.280683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3405865-6500-47e3-b95e-57cf8d3f92ea · inbound
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:16:14.724750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc1a0a7b-6320-4a0d-a643-1bcc4a1c019c · inbound
Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences cites this paper.
Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:53.489055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12af781f-5054-43ed-9f3b-ab547c44287a · inbound
How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs cites this paper.
How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:12:58.107269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f9ad3fa-402b-4ca1-a0de-5f84950cb475 · inbound
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:21:42.305365Z
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 278b5cc0-5ca8-4116-a279-3bc6df9edfea · inbound
The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning cites this paper.
The Reasoning Trap: An Information-Theoretic Bound on Closed-System Multi-Step LLM Reasoning SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:41:04.036345Z
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 007bbe2d-6043-4d16-9cf6-55002e95228b · inbound
AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act cites this paper.
AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:25:18.151284Z
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 d585f8ef-5e49-4aa2-a2f4-e384ab3e6aec · inbound
AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act cites this paper.
AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:26:35.800851Z
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.