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Paper Citation Record · LEDGER

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.05699.

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

pith.paper-citation-record.v1
2402.05699 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T04:39:04.591722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:42:34.166797Z

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 ff93a2f5-03af-4d9e-aeaa-3456d1a6144f · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation

Reference 192

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:34.170030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:73c819bbb697e0386c5c2011d6d4353742b51f9592aa27739231bcfb19b513dc

Observation d2c77640-5882-4095-8e9d-bc90df16638a · inbound

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow cites this paper.

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:11:40.331955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T17:09:02.466082Z digest=sha256:fdf50810231d5677a3797eb8f0075537d6fdbee51190bacec2916c8082c976dd