Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.13533.
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 2026-08-15T21:19:59.008183Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T18:49:52.064043Z
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 b6486fef-7cc7-47aa-9eea-6c0e9febd94a · inbound
Open FinLLM Leaderboard: Towards Financial AI Readiness cites this paper.
Open FinLLM Leaderboard: Towards Financial AI Readiness FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T18:49:52.069920Z
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 b50f6bc2-3015-4e9f-b355-78a17eeb0cc1 · inbound
Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges cites this paper.
Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:19:59.008183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b55cb394-bb32-437e-8a86-397da60aeb9b · inbound
Interfacing Quantum Computing Systems with High-Performance Computing Systems: An Overview cites this paper.
Interfacing Quantum Computing Systems with High-Performance Computing Systems: An Overview FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:22:15.842530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.