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Paper Citation Record · LEDGER

Probing the Moral Development of Large Language Models through Defining Issues Test

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.13356.

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

pith.paper-citation-record.v1
2309.13356 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:43:39.663308Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 43a11978-c6c6-4a99-a9b8-e1fef89fd303 · inbound

User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs cites this paper.

User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs Probing the Moral Development of Large Language Models through Defining Issues Test

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T21:43:39.663308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:43:39.663308Z digest=sha256:ffe79c78cb28a0c66e78b9d6b9fb5bf74e9ae7b13f69aa21b89e9eb8e1a27586

Observation 623021a8-281b-4cf5-b36a-7d3c8d184bbf · inbound

Conflicts Make Large Reasoning Models Vulnerable to Attacks cites this paper.

Conflicts Make Large Reasoning Models Vulnerable to Attacks Probing the Moral Development of Large Language Models through Defining Issues Test

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:51:46.115769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:24:25.255602Z digest=sha256:dc06b5e8a5e7444410cf169de72134e88749883129f0b919cd3914f7491cb20e

Observation f4bab274-e0d3-40d0-9c06-05dfce268302 · inbound

Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients cites this paper.

Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients Probing the Moral Development of Large Language Models through Defining Issues Test

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:14:36.729644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T11:13:36.521513Z digest=sha256:d25c6bf9bd6f2496b2a75ab4853f5fc3e741584a677214e56c92152250ffe35c