Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.02336.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:52.225072Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:51:52.148427Z
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 18ed080e-0432-4a98-8c6b-f03e02882084 · 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 AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:52.225072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d9032ef-73f0-4afd-9cf3-2e37da695058 · inbound
SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling cites this paper.
SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:51:52.153846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3e695c57-6c7f-4887-8a3e-0044a15c9bc9 · inbound
QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs cites this paper.
QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:10:00.166572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.