Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BinMLM: Binary Authorship Verification with Flow-aware Mixture-of-Shared Language Model
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.04472.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:54:53.268053Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:24:33.418921Z
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 c1d5cffe-e8f7-4827-83df-1cd257138c78 · inbound
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution cites this paper.
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution BinMLM: Binary Authorship Verification with Flow-aware Mixture-of-Shared Language Model
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:54:53.268053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9746db48-9095-44f0-9f68-207033441d32 · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques BinMLM: Binary Authorship Verification with Flow-aware Mixture-of-Shared Language Model
Reference 102
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:24:33.424043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.