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Paper Citation Record · LEDGER

AI Chat Assistants can Improve Conversations about Divisive Topics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.07268.

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

pith.paper-citation-record.v1
2302.07268 v5

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:47:10.406435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.887473Z

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 668f67ff-f9c6-4fb0-bc61-0271a82ab5f8 · inbound

Prosocial Design in Trust and Safety cites this paper.

Prosocial Design in Trust and Safety AI Chat Assistants can Improve Conversations about Divisive Topics

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:47:10.406435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:47:10.406435Z digest=sha256:c71c53fce2392d8b7e4ece26102817a2eb8eff41a5205eef6e704cc213773c14

Observation 95f5034b-e1e1-4b94-903b-3115a528491d · inbound

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets cites this paper.

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets AI Chat Assistants can Improve Conversations about Divisive Topics

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.888964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T09:12:19.873337Z digest=sha256:2eea684367ec1a1de9eb3ed94099d0e20677ba1c11a89e3c765f3a835235b2d6