Paper Citation Record · LEDGER

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement

As of 9 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2605.14912.

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

pith.paper-citation-record.v1
2605.14912 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:26:13.783556Z

measured 11 of 11 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact5
verified fuzzy3
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f403ea1-89d2-4c77-b2b9-3161131cd8a2 · outbound

This paper cites CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:35:03.012470Z

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.

Observation 03846ecf-1886-4f9b-9701-7f94bd694524 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement Constitutional AI: Harmlessness from AI Feedback

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:35:03.014765Z

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.

Observation 65efb6cc-8622-44a4-ad58-400d37acc51c · outbound

This paper cites Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:35:03.009895Z

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.

Observation 87f4c280-e964-4bf7-a6e2-8395bdedae96 · outbound

This paper cites In NeurIPS 2024 Pluralistic Alignment Workshop.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement In NeurIPS 2024 Pluralistic Alignment Workshop

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T20:34:10.245231Z

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.

Observation b0714d5f-f275-4702-bc42-30fdfb4ef331 · outbound

This paper cites InNeurIPS 2024 Pluralistic Alignment Workshop.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement InNeurIPS 2024 Pluralistic Alignment Workshop

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T20:34:10.237366Z

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.

Observation 272007fa-eb74-46fd-8cdd-a94a49ce4c62 · outbound

This paper cites Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:35:03.004285Z

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.

Observation 617a7718-a9bf-4dd4-9198-c4cfd3044c97 · outbound

This paper cites Procac- cia.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement Procac- cia

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:35:03.012733Z

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.

Observation 6dee7dfd-c200-4e88-a141-93534a1c8e13 · outbound

This paper cites Deployment-Relevant Alignment Cannot Be Inferred from Model-Level Evaluation Alone.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement Deployment-Relevant Alignment Cannot Be Inferred from Model-Level Evaluation Alone

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T20:35:03.007279Z

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.

Observation 81967f5d-235c-403a-a568-97dfdcc31959 · outbound

This paper cites Simple synthetic data reduces sycophancy in large language models.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement Simple synthetic data reduces sycophancy in large language models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-30T20:35:02.999096Z

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.

Observation e1cf338b-63da-4429-b14e-98bcf3a4f954 · outbound

This paper cites InNeurIPS 2023 Datasets and Benchmarks Track.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement InNeurIPS 2023 Datasets and Benchmarks Track

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T20:34:10.241254Z

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.

Observation f5c62f72-5944-49ac-b271-7527abc4d0d9 · outbound

This paper cites principled.

From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement principled

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:35:03.017597Z

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.

Pith citing papers

No inbound Pith citation observations are available.