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Paper Citation Record · LEDGER

Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.12349.

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

pith.paper-citation-record.v1
2505.12349 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:11:52.002778Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:38:10.280636Z

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 d1f9cfa2-245b-476e-80f2-ee5da25e5a9f · inbound

Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems cites this paper.

Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T05:11:52.002778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:11:52.002778Z digest=sha256:dffe43c49f66e36d5b6fb2a679cf411eac33d6148819d65e25efdcfb7620fcb8

Observation 50af255d-e041-4cdb-a160-dd4f9b4a8654 · inbound

Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? cites this paper.

Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:38:10.286291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-04T22:38:10.180555Z digest=sha256:ab92293b7e3468b16ddcd7e1db681aad40072f70cdc681b4ce38f712844151e5