Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Agent Framework for Real-Time Financial Information Searching with Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.15684.
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 2026-08-07T14:27:49.935581Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:20:04.974726Z
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 36cf3bfc-5601-4f4d-bc80-a95622c814d3 · inbound
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning cites this paper.
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning An Agent Framework for Real-Time Financial Information Searching with Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:49.935581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 140bbccf-e11a-4e24-9f65-cd7739fa9b46 · inbound
Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models cites this paper.
Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models An Agent Framework for Real-Time Financial Information Searching with Large Language Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:20:04.978818Z
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.