Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Skip for Language Modeling
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.15436.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:40:56.899228Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T17:35:52.000418Z
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 1af05470-d752-430f-9855-e9d7cf64bd07 · inbound
Learning to Skip the Middle Layers of Transformers cites this paper.
Learning to Skip the Middle Layers of Transformers Learning to Skip for Language Modeling
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:40:56.899228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8dd02d4-0276-4cb5-8729-43149ee5caca · inbound
SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation cites this paper.
SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation Learning to Skip for Language Modeling
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:16:48.453823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09cd7901-f65c-4020-b937-ce4d4d14dc62 · inbound
End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference cites this paper.
End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference Learning to Skip for Language Modeling
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:35:52.001837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.