Paper Citation Record · LEDGER

When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2311.09410.

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

pith.paper-citation-record.v1
2311.09410 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:58:47.900343Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:56.453951Z

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 c2339540-5365-4d65-a87a-20e43ef3ba44 · inbound

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention cites this paper.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T19:58:47.900343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b03d74b-13ce-4b15-b853-90b557b2953a · inbound

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents cites this paper.

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T18:27:26.346930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee3b711b-9044-4903-b495-354df54afd59 · inbound

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment cites this paper.

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T19:55:50.712217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3995264e-ac85-43b4-8c73-c5a42d2b2e2f · inbound

Self-Critique-Guided Curiosity Refinement: Enhancing Honesty and Helpfulness in Large Language Models via In-Context Learning cites this paper.

Self-Critique-Guided Curiosity Refinement: Enhancing Honesty and Helpfulness in Large Language Models via In-Context Learning When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:26.536527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27fd484-d4f4-46ad-b76d-9aaa5499059c · inbound

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis cites this paper.

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T18:01:56.731469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d618bb-c286-4303-993a-10377c2906f5 · inbound

DocPrism: Multi-lingual Detection of Incorrectness Inconsistencies between Code and Documentation cites this paper.

DocPrism: Multi-lingual Detection of Incorrectness Inconsistencies between Code and Documentation When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T06:57:04.937599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3904b4c0-9503-45f2-b6ce-2008d5c0d6dd · inbound

User Detection and Response Patterns of Sycophantic Behavior in Conversational AI cites this paper.

User Detection and Response Patterns of Sycophantic Behavior in Conversational AI When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:07:58.802378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d271fb54-e601-4f70-8a09-c6a2e1970ca4 · inbound

Pressure, What Pressure? Sycophancy Disentanglement in Language Models via Reward Decomposition cites this paper.

Pressure, What Pressure? Sycophancy Disentanglement in Language Models via Reward Decomposition When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:10:49.245720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c8deb84-aebb-4bd6-b153-2847500a4c56 · inbound

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation cites this paper.

Gaslight, Gatekeep, V1-V3: Early Visual Cortex Alignment Shields Vision-Language Models from Sycophantic Manipulation When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:10:26.242772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f94bd42d-84c2-48db-a4cf-2cf6c0abc78a · inbound

Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure cites this paper.

Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:06:02.516341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 869f721e-3266-4a5f-a042-bec81792d581 · inbound

When Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models cites this paper.

When Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:46:08.507033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69f4122b-2b2a-4fb5-b4a7-79873b9d7395 · inbound

Knowing but Not Correcting: Routine Task Requests Suppress Factual Correction in LLMs cites this paper.

Knowing but Not Correcting: Routine Task Requests Suppress Factual Correction in LLMs When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:50:51.130101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53744903-5b57-4d71-ba83-d3339f4abe1c · inbound

Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts cites this paper.

Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:12.878041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9990a91c-304e-450b-9aa2-d8fdda7881fc · inbound

The Alignment Floor: How Persona Customization Breaks Safety in Weakly-Aligned LLMs cites this paper.

The Alignment Floor: How Persona Customization Breaks Safety in Weakly-Aligned LLMs When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T23:30:07.574017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de066f7f-642b-4d6e-816b-38c85096a8b8 · inbound

Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback cites this paper.

Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:36:23.477673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f183e93-0fbb-412e-bf2f-c04d2fc5529c · inbound

Decomposing Factual Sycophancy in Language Models: How Size and Instruction Tuning Shape Robustness cites this paper.

Decomposing Factual Sycophancy in Language Models: How Size and Instruction Tuning Shape Robustness When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:06:58.887637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4da3eea-b8e8-40ee-8339-a6c0cdcc6a47 · inbound

"Where is this coming from?" Uncovering Trustworthiness Ideals in AI-powered Peripartum Information Seeking cites this paper.

"Where is this coming from?" Uncovering Trustworthiness Ideals in AI-powered Peripartum Information Seeking When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:47:36.194441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d842a853-71d1-419c-9b69-104c69403db6 · inbound

Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models cites this paper.

Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:57:41.801669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 925eba21-ff07-4b3c-8e2b-eef7d975dd6c · inbound

LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis cites this paper.

LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:29.235459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e8dae72-4a7c-4688-84bd-e0e8bb71081c · inbound

PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience cites this paper.

PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 143

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:56.455747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5435de74-57e7-4e18-8fba-edb3b5469f5e · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:36:43.291737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25b1d6b5-94ef-4b4c-b265-266ad7ad385c · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T18:58:50.749581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bed63401-c31b-48a6-b8f1-5b7995f5eb48 · inbound

Robust for the Wrong Reasons: The Representational Geometry of LLM Robustness to Science Skepticism cites this paper.

Robust for the Wrong Reasons: The Representational Geometry of LLM Robustness to Science Skepticism When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:27:34.713687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1b91609-6f5f-498c-aa06-797fe1a763e7 · inbound

TD-DPO: Difference-Aware Preference Optimization for Mitigating Sycophancy in Clinical Autism Intervention Dialogue cites this paper.

TD-DPO: Difference-Aware Preference Optimization for Mitigating Sycophancy in Clinical Autism Intervention Dialogue When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T22:47:07.223036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d19569-5f5b-441f-a69f-c208a209f214 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T08:36:26.253602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a96f5d90-1c8a-4ce4-b923-6715104a54c6 · inbound

The Evaluator Is Part of the Experiment: Measuring Open-Ended LLM Conformity cites this paper.

The Evaluator Is Part of the Experiment: Measuring Open-Ended LLM Conformity When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:20.275733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.