Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph Reasoning with Large Language Models via Pseudo-code Prompting
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.17906.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:39.930679Z
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
0
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 5fedc170-3157-4e2a-a44f-650168f9e8cb · inbound
Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning cites this paper.
Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning Graph Reasoning with Large Language Models via Pseudo-code Prompting
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:56:39.930679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab5fd424-a82b-49e0-a9b5-e435124490b7 · inbound
Multi-agent Self-triage System with Medical Flowcharts cites this paper.
Multi-agent Self-triage System with Medical Flowcharts Graph Reasoning with Large Language Models via Pseudo-code Prompting
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:55:19.726411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e9be3ff1-5c00-4d3d-ace9-2e299c783264 · inbound
Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising cites this paper.
Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising Graph Reasoning with Large Language Models via Pseudo-code Prompting
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:56:11.469644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.