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Paper Citation Record · LEDGER

Configurable Safety Tuning of Language Models with Synthetic Preference Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.00495.

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

pith.paper-citation-record.v1
2404.00495 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:15:44.963870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 0a8e357b-7010-402f-bd50-472f8148fb95 · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Configurable Safety Tuning of Language Models with Synthetic Preference Data

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:20:44.622626Z

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=pdf_text observed=2026-05-15T02:20:44.368219Z digest=sha256:33193aa9e1b84c11dd5423f997e7ee05e0b6da83841d076b32d40d8ac5fa696e

Observation 8d0a213c-c91b-4670-93f4-8d7e9cdff5f3 · inbound

MetaSC: Test-Time Safety Specification Optimization for Language Models cites this paper.

MetaSC: Test-Time Safety Specification Optimization for Language Models Configurable Safety Tuning of Language Models with Synthetic Preference Data

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-08T11:15:44.963870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:15:44.963870Z digest=sha256:3003a888a0ad5fe2eac680db1d39dd3019badcd7c2e0c0fc455ee55479b4d432

Observation 86609ba3-3c2f-4935-abe2-e03dc5dfaf64 · inbound

Configurable Preference Tuning with Rubric-Guided Synthetic Data cites this paper.

Configurable Preference Tuning with Rubric-Guided Synthetic Data Configurable Safety Tuning of Language Models with Synthetic Preference Data

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:23.120937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:23.120937Z digest=sha256:1f969a3a3f4adf70a9ca8609975b8d37dfcd13e04360212304a618a97ad6cb8f

Observation 79638da0-15e6-4491-a729-d56b0a06142b · inbound

Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language Configurable Safety Tuning of Language Models with Synthetic Preference Data

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:32.818614Z

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=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:3c4ffb14cb7bd26a06338585b14f9955cfcb22615a1a3941483914719577da9b