Paper Citation Record · LEDGER

Inverse Constitutional AI: Compressing Preferences into Principles

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.06560.

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

pith.paper-citation-record.v1
2406.06560 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:52:54.306075Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fc247a00-fc87-44f3-bce5-fdad81c5d98e · inbound

Statutory Construction and Interpretation for Artificial Intelligence cites this paper.

Statutory Construction and Interpretation for Artificial Intelligence Inverse Constitutional AI: Compressing Preferences into Principles

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T12:52:54.306075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b395c39-5495-4a50-a329-b66e41d95f72 · inbound

Three Models of RLHF Annotation: Extension, Evidence, and Authority cites this paper.

Three Models of RLHF Annotation: Extension, Evidence, and Authority Inverse Constitutional AI: Compressing Preferences into Principles

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:46:12.362881Z

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.

Observation ed2a5f10-f4b1-4f5f-9fab-bb822ee78f68 · inbound

Positive Alignment: Artificial Intelligence for Human Flourishing cites this paper.

Positive Alignment: Artificial Intelligence for Human Flourishing Inverse Constitutional AI: Compressing Preferences into Principles

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:06:20.663881Z

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.

Observation 71865ea7-e3e0-4e1f-a216-5f0842303365 · inbound

Positive Alignment: Artificial Intelligence for Human Flourishing cites this paper.

Positive Alignment: Artificial Intelligence for Human Flourishing Inverse Constitutional AI: Compressing Preferences into Principles

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:59:47.931769Z

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.

Observation 01f2e887-1933-4d61-ac06-d3d346a99aa3 · inbound

Positive Alignment: Artificial Intelligence for Human Flourishing cites this paper.

Positive Alignment: Artificial Intelligence for Human Flourishing Inverse Constitutional AI: Compressing Preferences into Principles

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T22:55:06.792915Z

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.

Observation 448cd8ad-a64e-41f6-98bb-175cde0b6c56 · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs Inverse Constitutional AI: Compressing Preferences into Principles

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:39:47.147514Z

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.

Observation 9532f64d-eada-4bc9-9df8-e63862bae75e · inbound

Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.

Towards Spec Learning: Inference-Time Alignment from Preference Pairs Inverse Constitutional AI: Compressing Preferences into Principles

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:44:39.553468Z

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.

Observation 76b6d077-78f4-4c0f-8261-eab3bb2f68a2 · inbound

LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior cites this paper.

LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior Inverse Constitutional AI: Compressing Preferences into Principles

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.315322Z

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.

Observation f876382f-8db3-4095-98f4-de0d09a5a8dc · inbound

Alignment Plausibility: A New Standard for Assuring AI in Healthcare cites this paper.

Alignment Plausibility: A New Standard for Assuring AI in Healthcare Inverse Constitutional AI: Compressing Preferences into Principles

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-10T18:47:31.433270Z

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.