Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.11502.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:18.205625Z
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 f9c5f84e-cabe-41d9-b203-f4d46e5b9038 · inbound
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:52:18.205625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9b7cd4f-e47e-44d4-a0ad-be08ca1410e6 · inbound
From Stacks to Circuits: A Regenerative Socio-Technical Roadmap for AI Infrastructure within Planetary Boundaries cites this paper.
From Stacks to Circuits: A Regenerative Socio-Technical Roadmap for AI Infrastructure within Planetary Boundaries Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T11:20:52.814253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.