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Paper Citation Record · LEDGER

Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism

As of 23 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2605.30852.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.30852 v3

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:06:28.984758Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c867e9e7-ab60-420c-9dff-dbe819a9ff1d · outbound

This paper cites InInternational Conference on Machine Learning, pages 19274–19286.

Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism InInternational Conference on Machine Learning, pages 19274–19286

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T13:06:28.984758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:06:28.984758Z digest=sha256:7a970275da600bbbd9dc044c629e780140c61b4d43a55c639b4499afd7abf120

Observation 661a0911-cad5-4071-8cf1-7a5d5a11581d · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T13:06:28.894859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:06:28.894859Z digest=sha256:2657800408073d24a8046ec7119673705f3a1bff1a88207da23c7787714fb102

Pith citing papers

No inbound Pith citation observations are available.