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Paper Citation Record · LEDGER

A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.04607.

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

pith.paper-citation-record.v1
2310.04607 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:39:45.814412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:21:00.831241Z

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 702d494f-3dfa-4c87-aaef-c07b89db59d6 · inbound

DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings cites this paper.

DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T10:39:45.814412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:39:45.814412Z digest=sha256:f7cf7d27a351a84202734ee1a3abe30ced1a63a348b64482469d1c212647f9ed

Observation 4599f9b4-9c95-42d6-8083-a137619ae18e · inbound

The xPU-athalon: Quantifying the Competition of AI Acceleration cites this paper.

The xPU-athalon: Quantifying the Competition of AI Acceleration A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:21:00.836217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:01:31.205772Z digest=sha256:b8d355385be27d6ee87dfdc3de083037a7a94c3bc6423a51960c21acc3e3a0de