Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T12:42:01.535482Z
Paper Citation Record · LEDGER
As of 24 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2606.01171.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T12:42:01.535482Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
4 of 4 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bd9844f8-9822-48fb-9e28-a8c9b2552c40 · outbound
AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities Omar, M.; Soffer, S.; Agbareia, R.; Bragazzi, N
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8f9fb9f-976f-4bdd-ac8f-b342023a2176 · outbound
AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities Mingers, J.; and Walsham, G
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00f50aa8-5260-4455-8390-2e115bb90b22 · outbound
AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities InCHI’19 Extended Abstracts
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5559aa39-1e04-400c-988c-14365a5a7a7e · outbound
AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities InProceedings of the 2024 ACM Confer- ence on Fairness, Accountability, and Transparency, FAccT ’24, 631–641
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.