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Paper Citation Record · LEDGER

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.13383.

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

pith.paper-citation-record.v1
2507.13383 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T07:06:57.555070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:08:07.016432Z

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 ea7cbb79-ffec-48d8-a99b-1d4d0c3513ca · inbound

Computational Hermeneutics: Evaluating generative AI as a cultural technology cites this paper.

Computational Hermeneutics: Evaluating generative AI as a cultural technology Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:48:27.221250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T23:48:24.354896Z digest=sha256:3e4d1fdcdfa98090cd0a087199cd031c0e62cacbc820dd12d9c7e74d9f1079dd

Observation 267a3f12-66a0-4837-9612-ee1ee839e8ff · inbound

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South cites this paper.

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:08:07.018323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T07:06:57.555070Z digest=sha256:62a2a490ab07887381a74b798481cad0d26e97000685846e287be773fb9d4eb7