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Paper Citation Record · LEDGER

AIDBench: A benchmark for evaluating the authorship identification capability of large language models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.13226.

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

pith.paper-citation-record.v1
2411.13226 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:08.350377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:41:01.785133Z

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 72d943b8-841d-47fb-87bc-dd27b85e8e80 · inbound

Quantifying Misattribution Unfairness in Authorship Attribution cites this paper.

Quantifying Misattribution Unfairness in Authorship Attribution AIDBench: A benchmark for evaluating the authorship identification capability of large language models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:36:08.350377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:36:08.350377Z digest=sha256:d4ec990034f034d74577ae0a61593d3ed19843d5fb475ca7b0f696a82b710072

Observation 8929a0d9-000d-4502-847c-029fc2a5ec66 · inbound

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest cites this paper.

Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest AIDBench: A benchmark for evaluating the authorship identification capability of large language models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:41:01.788464Z

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.

source=arxiv_source observed=2026-05-10T03:20:12.777878Z digest=sha256:431b044d359c6a10c0c579265590ff67b8e720e11d1c9cbdc093e2309f593f32