Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.15398.
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 2026-08-08T04:33:03.169587Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T22:40:49.074122Z
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 df797af5-d785-4bd9-b090-12869ec2afb6 · inbound
Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects cites this paper.
Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T22:40:49.079614Z
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 0b25c5bf-e63e-4d13-99e5-99f46429879c · inbound
F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading cites this paper.
F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:03.169587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.