Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.00518.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:13.818664Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T12:43:25.954850Z
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 03448e97-d814-4afb-ac6f-b2401a2c65eb · inbound
AI Flow: Perspectives, Scenarios, and Approaches cites this paper.
AI Flow: Perspectives, Scenarios, and Approaches EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:58:13.818664Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c727b8e-75eb-4908-b078-20f211a8b33e · inbound
ACME: Adaptive Customization of Large Models via Distributed Systems cites this paper.
ACME: Adaptive Customization of Large Models via Distributed Systems EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:55:23.397225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a0e5819-33a2-480f-971d-f213b274738c · inbound
The Shape of Overthinking: Backtracking Bursts in Long Reasoning Traces cites this paper.
The Shape of Overthinking: Backtracking Bursts in Long Reasoning Traces EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:43:25.956625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.