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Paper Citation Record · LEDGER

PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.11798.

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

pith.paper-citation-record.v1
2407.11798 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:15:44.871917Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:59:04.350032Z

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 8d7ff1db-4df9-4718-89e9-f354a6150ac2 · inbound

SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding cites this paper.

SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:15:44.871917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:15:44.871917Z digest=sha256:69f4985846c1ecbf5d42119614d767c31e91ed2ca9ff9c2ab317b1ab6a041195

Observation 18998b76-9630-4786-95ba-8b0c1b63f62d · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:59:04.413079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T20:58:55.063428Z digest=sha256:14a628407f37230d2111bfb96a611509b114b85315999144d6f6e350cb6bb661