Pith. sign in

Paper Citation Record · LEDGER

What do people expect from Artificial Intelligence? Public opinion on alignment in AI moderation from Germany and the United States

As of 18 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2504.12476.

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

pith.paper-citation-record.v1
2504.12476 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:33:32.286145Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:54.423926Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f4935d7-f299-43c4-8cdd-be67e39d1496 · outbound

This paper cites Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You.

What do people expect from Artificial Intelligence? Public opinion on alignment in AI moderation from Germany and the United States Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You

Reference 1332

Resolution
unresolved
no resolver link, observed 2026-08-16T12:33:32.205428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:33:32.205428Z digest=sha256:3958ba93fe9ec56d5c79c568dfdeb129735fba43d4c87a2ba3aa5723b596e796

Observation a6da605a-874c-46b1-a6d7-6fc1ee0685de · outbound

This paper cites Safety and Fairness for Content Moderation in Generative Models.

What do people expect from Artificial Intelligence? Public opinion on alignment in AI moderation from Germany and the United States Safety and Fairness for Content Moderation in Generative Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T12:33:32.286145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:33:32.286145Z digest=sha256:5c9bac1880e66a230aa733da717be29ad71dd5b5e5ea4fbb75cae48727e02419

Pith citing papers

Observation b66ed936-a12c-4e64-b370-2c78cfe15ac0 · inbound

Artificial Intelligence in Government: Why People Feel They Lose Control cites this paper.

Artificial Intelligence in Government: Why People Feel They Lose Control What do people expect from Artificial Intelligence? Public opinion on alignment in AI moderation from Germany and the United States

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:33:54.723308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T04:33:54.423926Z digest=sha256:87e185c52cddeece71fae68f8b35d4caef0d70262e79cb390725a7d4d0febe69