Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.06954.
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 2026-08-07T14:51:52.490908Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:06:30.314947Z
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 4c017860-a3d9-485e-91f7-1e1be7523979 · inbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies cites this paper.
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:52.490908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa3d898d-3dde-4b42-91bb-e09e8818345f · inbound
Experience-Driven Dynamic Exits for LLMs with Reinforcement Learning cites this paper.
Experience-Driven Dynamic Exits for LLMs with Reinforcement Learning Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T03:06:30.317060Z
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.
Observation 898e0630-1ef5-4d91-a8e3-2c5f67875d7e · inbound
CausalGate: Causal Importance Distillation for Transformer Module Pruning cites this paper.
CausalGate: Causal Importance Distillation for Transformer Module Pruning Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:27:54.852003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.