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Paper Citation Record · LEDGER

Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.16562.

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

pith.paper-citation-record.v1
2410.16562 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:56.697655Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T18:16:16.850658Z

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 c98b7b27-20d7-4753-9b98-bcda926f57c2 · inbound

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art cites this paper.

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:37:08.866543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:36:56.697655Z digest=sha256:e7c07014b582b5f5cdf1d0fa9796fa1a71dc430b5d26e4d91023e11d8eadeb0f