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Paper Citation Record · LEDGER

Inference Performance Optimization for Large Language Models on CPUs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07304.

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

pith.paper-citation-record.v1
2407.07304 v1

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 2026-08-06T21:58:33.109191Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:45:58.384910Z

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 b36cff78-d508-44b1-b1b1-12d62d7a8d87 · inbound

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models cites this paper.

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models Inference Performance Optimization for Large Language Models on CPUs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T21:58:33.109191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:58:33.109191Z digest=sha256:bb81592a5d23484100ff97ee937f1a9e8d6429d1ea8283a02bacd53bfedde9e3

Observation c55d864f-55f3-451a-b583-072c5ab6b4f4 · inbound

Active Imitation Learning for Thermal- and Kernel-Aware LFM Inference on 3D S-NUCA Many-Cores cites this paper.

Active Imitation Learning for Thermal- and Kernel-Aware LFM Inference on 3D S-NUCA Many-Cores Inference Performance Optimization for Large Language Models on CPUs

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:45:58.387183Z

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=2026-05-10T16:31:19.877557Z digest=sha256:9a480c23e269cec15b6871bf7630e00faf89bd9264e949b6b1df487b387ed195