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Paper Citation Record · LEDGER

Sycophancy in Large Language Models: Causes and Mitigations

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 22 inbound Pith citation observations for arXiv:2411.15287.

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

pith.paper-citation-record.v1
2411.15287 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:36:32.089518Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:38:47.682170Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e33668a4-97e6-42c8-8973-12f4a7f9d16e · outbound

This paper cites AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions.

Sycophancy in Large Language Models: Causes and Mitigations AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:31.997089Z digest=sha256:c1d5117f436c0801abbd42e04bbf3fd7770feb72cd3ea63068d5dbbe4dcbcff2

Observation 85d03ed1-0b66-4306-a935-1957c427972e · outbound

This paper cites Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey.

Sycophancy in Large Language Models: Causes and Mitigations Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey

Reference 2

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no resolver link, observed 2026-08-12T14:36:32.003633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.003633Z digest=sha256:d31b0e854ac72d521773803849a47bf706549c4f75ca527d85fbaa83c61a8671

Observation 0a1e9be8-b793-44b5-a10e-3d0d0e6cda72 · outbound

This paper cites arXiv preprint arXiv:2406.02630 (2024).

Sycophancy in Large Language Models: Causes and Mitigations arXiv preprint arXiv:2406.02630 (2024)

Reference 3

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no resolver link, observed 2026-08-12T14:36:32.009862Z

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source=pdf_text observed=2026-08-12T14:36:32.009862Z digest=sha256:9090e6b093bd554318fb8ce9b971ba5e67cafd68bd7873ae69c01a8e7b8417d0

Observation 9794ade3-6aba-4bcd-9a01-1de1a65163d7 · outbound

This paper cites Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models.

Sycophancy in Large Language Models: Causes and Mitigations Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models

Reference 4

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no resolver link, observed 2026-08-12T14:36:32.014524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.014524Z digest=sha256:b48ed6cec87d4574537b1ef21fced3be29781a51375789048686cc030394bd7b

Observation bcbab968-e499-432c-bc5d-5c71eb470452 · outbound

This paper cites Understanding Knowledge Drift in LLMs through Misinformation.

Sycophancy in Large Language Models: Causes and Mitigations Understanding Knowledge Drift in LLMs through Misinformation

Reference 5

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no resolver link, observed 2026-08-12T14:36:32.020284Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.020284Z digest=sha256:3aa85db946ea422e389dacab2eb60bba1fbc89722b205783b65fe9a57fb94e67

Observation 2def5796-26b9-438e-8497-2612da600ef3 · outbound

This paper cites Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment.

Sycophancy in Large Language Models: Causes and Mitigations Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment

Reference 6

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no resolver link, observed 2026-08-12T14:36:32.025197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.025197Z digest=sha256:3258f31503b3d85d4441cef323a6647266a4474db42cf44d5db4221719bc83fd

Observation 38947fce-35a0-4478-806c-cf1bfbab7af0 · outbound

This paper cites Best Practices and Lessons Learned on Synthetic Data.

Sycophancy in Large Language Models: Causes and Mitigations Best Practices and Lessons Learned on Synthetic Data

Reference 7

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no resolver link, observed 2026-08-12T14:36:32.030367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.030367Z digest=sha256:b2cc95f1e35c96211456d9946d165dd29f0e3c117d4b59159206c23f597960c8

Observation 7b4b2fea-0e14-4d9a-9071-ee5794eb6cb5 · outbound

This paper cites It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF.

Sycophancy in Large Language Models: Causes and Mitigations It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF

Reference 8

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local_arxiv, observed 2026-08-12T14:36:32.528079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T14:36:32.035927Z digest=sha256:26d53bb94856e41f19caa57729e7bb8b77690c0614c6ea30e189a94c27866733

Observation ee31fc52-b73d-42b7-839b-c398af5d521c · outbound

This paper cites arXiv preprint arXiv:2 406.03827 (2024).

Sycophancy in Large Language Models: Causes and Mitigations arXiv preprint arXiv:2 406.03827 (2024)

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-12T14:36:32.773107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T14:36:32.040778Z digest=sha256:419012f4b08924fbabcad01580bb7ea3f7c6c58e89093a553b386b51e4933ffc

Observation e16d6739-9591-4fdc-8679-75b6c5bb904c · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Sycophancy in Large Language Models: Causes and Mitigations Towards Understanding Sycophancy in Language Models

Reference 10

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no resolver link, observed 2026-08-12T14:36:32.045412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.045412Z digest=sha256:8d58e6e744fc6cc909d1a6a1cfc0e3c7716e9a2ad9017f9b5c70c667caba9867

Observation 3f53c5d9-1882-4d24-8a3b-7c0131bea1c7 · outbound

This paper cites Steering Without Side Effects: Improving Post-Deployment Control of Language Models.

Sycophancy in Large Language Models: Causes and Mitigations Steering Without Side Effects: Improving Post-Deployment Control of Language Models

Reference 11

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no resolver link, observed 2026-08-12T14:36:32.050822Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.050822Z digest=sha256:2ba58f1cb8a22ea4465afea5da86e934609479dac6e5c9c845dc26e8e1b20bd2

Observation 79833940-dd95-4353-bb30-e589ba0891fe · outbound

This paper cites an unresolved cited work.

Sycophancy in Large Language Models: Causes and Mitigations Unresolved cited work

Reference 12

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unresolved
raw_fallback, observed 2026-08-12T14:36:32.755783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T14:36:32.055441Z digest=sha256:4ff0f4bad0562544c8a793c6b0bd1926f7245f64e2d1a41e8d132fe985beeeb7

Observation cc20c6f8-441b-4955-947a-d63d127288de · outbound

This paper cites Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.

Sycophancy in Large Language Models: Causes and Mitigations Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 13

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no resolver link, observed 2026-08-12T14:36:32.060454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.060454Z digest=sha256:910a4d55223b720f9ee4041cbe7ef826a63e53d0a7bcc061c51ed53f39ee9d16

Observation d720d4a6-69b8-40e6-9668-40bfb6814041 · outbound

This paper cites arXiv preprint arXiv:2308 .03958 (2023).

Sycophancy in Large Language Models: Causes and Mitigations arXiv preprint arXiv:2308 .03958 (2023)

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-12T14:36:32.738494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T14:36:32.065734Z digest=sha256:dae4c5d0ca8e77002aa67ec052f281af6f18c33a4821e8288486e93dd023be33

Observation 5c2a08d9-1297-43c5-a6b1-ed261f913322 · outbound

This paper cites Language Models Learn to Mislead Humans via RLHF.

Sycophancy in Large Language Models: Causes and Mitigations Language Models Learn to Mislead Humans via RLHF

Reference 15

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source=pdf_text observed=2026-08-12T14:36:32.070436Z digest=sha256:3738cc25f39cce0acd267ef464a0fe18bf577258059111f32a690f6660164bbc

Observation f142288b-3c90-41f3-93cd-7619afc9ab42 · outbound

This paper cites ControlLM: Crafting Diverse Personalities for Language Models.

Sycophancy in Large Language Models: Causes and Mitigations ControlLM: Crafting Diverse Personalities for Language Models

Reference 16

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no resolver link, observed 2026-08-12T14:36:32.075452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.075452Z digest=sha256:ef3d98d7f7db5c7991f655a8f91575d1969808d7e683f84f7d4f1e2608af79e6

Observation 7a5b669e-7d09-4269-82cd-cb1b31c2b6fa · outbound

This paper cites System 2 Attention (is something you might need too).

Sycophancy in Large Language Models: Causes and Mitigations System 2 Attention (is something you might need too)

Reference 17

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unresolved
no resolver link, observed 2026-08-12T14:36:32.080781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.080781Z digest=sha256:31114e28dde1b2f5c1e8ebe7026e6fbe68a68cb8bfdf38ca1da25a44ebcafd09

Observation e9bfe9e8-a229-446f-a121-ed966e622dbd · outbound

This paper cites arXiv preprint arXiv:2310.0217 4 (2023).

Sycophancy in Large Language Models: Causes and Mitigations arXiv preprint arXiv:2310.0217 4 (2023)

Reference 18

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verified exact
raw_fallback, observed 2026-08-12T14:36:32.410524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T14:36:32.085509Z digest=sha256:3e2a3c1b4ebf979bbd860fda6ba8fdaf607bc8d9ca02d8118981e97074576ccf

Observation 4aa870de-f9f3-4111-b5f8-dd99d9082c48 · outbound

This paper cites arXiv preprint arXiv:2408.11261 (2024).

Sycophancy in Large Language Models: Causes and Mitigations arXiv preprint arXiv:2408.11261 (2024)

Reference 19

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no resolver link, observed 2026-08-12T14:36:32.089518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:36:32.089518Z digest=sha256:4de121ab8169cac414526d8dede54acfb62e7df66f7e2f22c376ec904ca2ec03

Pith citing papers

Observation 9a658642-bd01-46fc-afad-907ea24b4842 · inbound

Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems cites this paper.

Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems Sycophancy in Large Language Models: Causes and Mitigations

Reference 43

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no resolver link, observed 2026-08-10T04:47:29.253647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:47:29.253647Z digest=sha256:289376fcc19cdbab77dd8eb4e3b721e3c0f3a8acc424de56525b1feb1c80b239

Observation 1b926d21-bbe1-47ce-8be4-18f9098e2038 · inbound

Winning at All Cost: A Small Environment for Eliciting Specification Gaming Behaviors in Large Language Models cites this paper.

Winning at All Cost: A Small Environment for Eliciting Specification Gaming Behaviors in Large Language Models Sycophancy in Large Language Models: Causes and Mitigations

Reference 11

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no resolver link, observed 2026-08-15T23:38:47.682170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:38:47.682170Z digest=sha256:fae4615296ab276f82fc3d9fb0328733392c26c43bfb06c28e3cc9d0a84149f8

Observation 6c49d21e-223a-43e7-9924-9dc18488319f · inbound

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents cites this paper.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Sycophancy in Large Language Models: Causes and Mitigations

Reference 56

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no resolver link, observed 2026-08-15T20:28:15.680312Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.680312Z digest=sha256:bb36fdef7718fe28736f47bc338b5c18df1857796d93fd42ca6140a5ce357cbf

Observation 4c20ba81-db54-447d-9537-25943cdfc6d8 · inbound

The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process cites this paper.

The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process Sycophancy in Large Language Models: Causes and Mitigations

Reference 23

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no resolver link, observed 2026-08-07T11:54:15.223966Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:54:15.223966Z digest=sha256:4231760b8eb9c652c7e5aa18088ed833a4308a1bdc9769d1b23f25e2c590156e

Observation e5a998f7-9326-4ed9-9e4a-50e1f8790d2c · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models Sycophancy in Large Language Models: Causes and Mitigations

Reference 43

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verified exact
arxiv_id, observed 2026-05-19T10:17:15.305207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T10:14:51.134936Z digest=sha256:95a1c9b2f4b48c2898e61ddc087828052201754e0ec394e0d3284b19d8f80782

Observation a3360c34-e303-4c04-801e-2d4a4865ed71 · inbound

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs cites this paper.

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs Sycophancy in Large Language Models: Causes and Mitigations

Reference 27

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arxiv_id, observed 2026-05-19T11:07:15.461973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T11:03:59.222849Z digest=sha256:ac629509c977c503e7631fb45cb47d97a7054d5c2613615aa051eb5af1133e3a

Observation 08ed9fed-2043-4474-bf2f-6e4a9c27f638 · inbound

"Check My Work?": Measuring Sycophancy in a Simulated Educational Context cites this paper.

"Check My Work?": Measuring Sycophancy in a Simulated Educational Context Sycophancy in Large Language Models: Causes and Mitigations

Reference 10

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no resolver link, observed 2026-08-07T04:36:07.166524Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:36:07.166524Z digest=sha256:55dbba0ca74eae891aa3bb90afd4571db578740581113b93e0ff8efa8213741f

Observation d470870f-794c-4c2f-bb0f-463c4619ece6 · inbound

The Rise of AI Companions: Interaction with AI Companions and Psychological Well-being cites this paper.

The Rise of AI Companions: Interaction with AI Companions and Psychological Well-being Sycophancy in Large Language Models: Causes and Mitigations

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-19T09:22:16.050122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T09:18:54.918640Z digest=sha256:8590fd529f457ed3c47eb5dc37add186d0a7163f03c3c51a6bc996abf8b9d29e

Observation e450fc3f-4ecc-42de-b366-3f1da7aab470 · inbound

LLMs in Coding and their Impact on the Commercial Software Engineering Landscape cites this paper.

LLMs in Coding and their Impact on the Commercial Software Engineering Landscape Sycophancy in Large Language Models: Causes and Mitigations

Reference 12

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unresolved
no resolver link, observed 2026-08-06T23:40:59.632434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:40:59.632434Z digest=sha256:b6180c952c8c02a26e3e47ad81dac32bf3aa5e57ea62b6aba900dfb2b367ba4e

Observation be411334-3402-45b3-8c6d-ce53abf7f192 · inbound

Potemkin Understanding in Large Language Models cites this paper.

Potemkin Understanding in Large Language Models Sycophancy in Large Language Models: Causes and Mitigations

Reference 38

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no resolver link, observed 2026-08-06T22:30:31.121504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:30:31.121504Z digest=sha256:08a6df72206aa4bde3b02c5522ec177f0835b5edea65a11e7a2dece302ea30f7

Observation d5e4330f-4c62-4e20-8c42-8eee2f5eaa92 · inbound

WebGuard: Building a Generalizable Guardrail for Web Agents cites this paper.

WebGuard: Building a Generalizable Guardrail for Web Agents Sycophancy in Large Language Models: Causes and Mitigations

Reference 31

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unresolved
no resolver link, observed 2026-08-06T16:12:49.594341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:49.594341Z digest=sha256:df47fe535315ac3a3578544c5192a137006e4e2246acf094b1e7be29e61e4333

Observation d7b77eaf-3be0-4534-bf5c-c0599430eee2 · inbound

Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy cites this paper.

Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy Sycophancy in Large Language Models: Causes and Mitigations

Reference 25

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unresolved
no resolver link, observed 2026-08-05T22:07:48.251798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:07:48.251798Z digest=sha256:06ab4576895f0890040fdb3fb1306678e9af422ff15a1fbff9af109070b89c83

Observation 1c5c64fa-d185-4665-a0e6-798855228181 · inbound

Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models cites this paper.

Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models Sycophancy in Large Language Models: Causes and Mitigations

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:05:33.781032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T20:04:52.397590Z digest=sha256:6ac793458889698017db89bbe3575c2457df14baebdb3ee39a699d93829ac372

Observation 7e33c09f-631a-4c54-868c-81bcf1538074 · inbound

AI as Equalizer or Amplifier? Task Complexity as the Moderating Factor for Human Expertise in Hybrid Intelligence Systems cites this paper.

AI as Equalizer or Amplifier? Task Complexity as the Moderating Factor for Human Expertise in Hybrid Intelligence Systems Sycophancy in Large Language Models: Causes and Mitigations

Reference 12

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unresolved
no resolver link, observed 2026-08-04T07:16:37.803697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:16:37.803697Z digest=sha256:4d7cd65b9d8d446f5d3f7562307221bce73464c4074a0978e8450934a660f519

Observation d5f67c44-b53d-4cb4-90e9-e1c4b6fd3e6c · inbound

Mitigating LLM biases toward spurious social contexts using direct preference optimization cites this paper.

Mitigating LLM biases toward spurious social contexts using direct preference optimization Sycophancy in Large Language Models: Causes and Mitigations

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-13T20:33:14.739471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T20:33:04.433907Z digest=sha256:1dd641b0f2900f0364819a62b3a4bccb9c78d62bef03d34276e83fa8324adecd

Observation 6098520a-006c-4a4d-b39d-9719482955ca · inbound

Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems cites this paper.

Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems Sycophancy in Large Language Models: Causes and Mitigations

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:13:13.989942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T20:09:14.217158Z digest=sha256:e86e6997905b0bd86057aa86613cd2d8a9c1414621ea5d9bfd83b660bf332172

Observation 8c7285b2-9049-4fd4-bcb4-834c5d121bd6 · inbound

Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems cites this paper.

Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems Sycophancy in Large Language Models: Causes and Mitigations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T16:57:39.842389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:57:39.842389Z digest=sha256:932ea4ce2bcea06d0cb16ef84fd209f40ecd549c8c08dd2ba84d28850e834bd8

Observation 8dc2144a-68e8-49ce-a36a-750ba357d67a · inbound

The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior cites this paper.

The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior Sycophancy in Large Language Models: Causes and Mitigations

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:10:50.098873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T20:10:12.204925Z digest=sha256:cb17e6342adca87f68ba7b34314686d6f3eacea464c062da2ad300cdb2ce2094

Observation 920a1d73-7fc6-44d0-a17b-2360dbaebe69 · inbound

GroupEnvoy: A Conversational Agent Speaking for the Outgroup to Foster Intergroup Relations cites this paper.

GroupEnvoy: A Conversational Agent Speaking for the Outgroup to Foster Intergroup Relations Sycophancy in Large Language Models: Causes and Mitigations

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:07:25.384420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T08:05:18.932338Z digest=sha256:15430ff842da05cbbbe3883b1b905f6bbf82ac53d732f5bbdfb28224cc619afb

Observation 5af90a83-a452-4b76-9e54-03a51f4cd97d · inbound

Can AI Help You Get Over Your Breakup? One Session with a Belief-Reframing Chatbot Shows Sustained Distress Reduction cites this paper.

Can AI Help You Get Over Your Breakup? One Session with a Belief-Reframing Chatbot Shows Sustained Distress Reduction Sycophancy in Large Language Models: Causes and Mitigations

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:16:25.854180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-07T15:38:09.332254Z digest=sha256:d39aeb287f83fdb91355c2307b0175678b6f64bb29aa11fa6291e46296f03bba

Observation f993cb87-520e-424f-a43c-1c60670c0792 · inbound

When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking cites this paper.

When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking Sycophancy in Large Language Models: Causes and Mitigations

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:34:46.406329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-22T09:31:30.187778Z digest=sha256:2655af7e4b7fae3731222f5def3ff915e94e1ebc5091b3455da78f1c95bf0b8d

Observation 17914a78-19e3-46cc-9d70-bbe04f21a7bf · inbound

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

Training Large Language Models for Self-Explanation Faithfulness Sycophancy in Large Language Models: Causes and Mitigations

Reference 119

Resolution
unresolved
no resolver link, observed 2026-08-01T08:36:28.389431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:36:28.389431Z digest=sha256:e18425c3b617da3752d82ac256e6c455711578fc7339d43d51997af30a3c411e