Paper Citation Record · LEDGER

DICES Dataset: Diversity in Conversational AI Evaluation for Safety

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.11247.

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

pith.paper-citation-record.v1
2306.11247 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:06:51.172816Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T13:54:58.617068Z

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 be9914be-5589-4e6c-bf88-035d64a7ec7a · inbound

A Roadmap to Pluralistic Alignment cites this paper.

A Roadmap to Pluralistic Alignment DICES Dataset: Diversity in Conversational AI Evaluation for Safety

Reference 214

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:37:53.545489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation afd6c360-f8af-41b0-aee8-fa567431ebfd · inbound

Beyond the Binary: Capturing Diverse Preferences With Reward Regularization cites this paper.

Beyond the Binary: Capturing Diverse Preferences With Reward Regularization DICES Dataset: Diversity in Conversational AI Evaluation for Safety

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:51.172816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ac7710-08ce-40b2-a182-0b0e63f75e4d · inbound

Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments cites this paper.

Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments DICES Dataset: Diversity in Conversational AI Evaluation for Safety

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T23:16:27.866973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11718202-95d4-4bea-b73b-8a6f2b80a5fd · inbound

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem cites this paper.

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem DICES Dataset: Diversity in Conversational AI Evaluation for Safety

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T23:04:17.713985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35aff7e4-f916-4a8a-93b8-c359389ddca3 · inbound

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm cites this paper.

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm DICES Dataset: Diversity in Conversational AI Evaluation for Safety

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:03:26.741421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40aea393-ddd3-42da-a601-e4354a0d30e8 · inbound

Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability cites this paper.

Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability DICES Dataset: Diversity in Conversational AI Evaluation for Safety

Reference 74

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T13:54:58.618293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.