Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LightSeq: A High Performance Inference Library for Transformers
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.13887.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:27:17.373953Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T15:01:31.460401Z
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 6055cbfd-d0e3-4e22-b680-fc6372fed321 · inbound
Pie: Pooling CPU Memory for LLM Inference cites this paper.
Pie: Pooling CPU Memory for LLM Inference LightSeq: A High Performance Inference Library for Transformers
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:53:26.990963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e519926c-c0b5-4239-a092-d6b098a22f3f · inbound
SeaLLM: Service-Aware and Latency-Optimized Resource Sharing for Large Language Model Inference cites this paper.
SeaLLM: Service-Aware and Latency-Optimized Resource Sharing for Large Language Model Inference LightSeq: A High Performance Inference Library for Transformers
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:27:17.373953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18861112-c90d-4d19-a0ed-190ac2dfcd83 · inbound
Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services cites this paper.
Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services LightSeq: A High Performance Inference Library for Transformers
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T15:01:31.463917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.