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An algorithm to approximate the real trilogarithm for a real argument

Alexander VoigtPublished Jun 21, 2023
DOI Publisher
Researcher verdict
Context only
Use as context only
Benchmark evidence
Missing
Not verified yet
Time to first repro
A few days
Plan setup time
Risk flags
1
Review before use

Abstract

Domain fit: AI-adjacent · Paper appears method- or tooling-adjacent to AI workflows with partial ecosystem coverage.

We present an algorithm to approximate the real trilogarithm for a real argument with IEEE 754-1985 double precision accuracy. The approximation is structured such that it can make use of instruction-level parallelism when executed on appropriate CPUs.

Results and benchmarks

Freshness tier: cold
We present an algorithm to approximate the real trilogarithm for a real argument with IEEE 754-1985 double precision accuracy.

Implementation

No direct implementation yet

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Implementation evidence summary
Confidence: low

beingaryan/Blind-Assistance-Object-Detection-and-Navigation is the closest maintained adjacent implementation (Matches contextual method/domain keyword: algorithm). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 96 GitHub stars.

Reproduction risks
  • Adjacent implementations are not paper-verified
  • Recommended repository is adjacent and not paper-verified.
  • Adjacent implementation match confidence is low.

Reproduction readiness

Time to first repro: days
Last checked: Aug 23, 2026

No repo

No verified implementation available

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Hardware requirements

  • Expect multi-day setup/compute for meaningful reproduction based on current guidance.

Repositories and ecosystem

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Research context

1

Citations

0

References

Tasks

Argument (complex analysis), Parallelism (grammar), Computer science, Parallel computing, Real analysis, Physical Sciences

Methods

Algorithm

Domains

Artificial Intelligence

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