Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:11:15.502662Z
Paper Citation Record · LEDGER
Exploring and Mitigating Fawning Hallucinations in Large Language Models
As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2509.00869.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T04:47:03.593493Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
48 of 48 outbound references displayed
- verified exact2
- verified fuzzy15
- unresolved29
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 12000aeb-81a6-44ff-bf74-e0b109e9d5b6 · outbound
This paper cites GPT-4 Technical Report.
Exploring and Mitigating Fawning Hallucinations in Large Language Models GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.178805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7c406fd-7e85-415a-b72c-8d2471fa467e · outbound
This paper cites Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.185693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e55782d2-0d35-4c3f-aa83-06e7f7905e4b · outbound
This paper cites Improving LLM Abilities in Idiomatic Translation.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Improving LLM Abilities in Idiomatic Translation
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:11:16.470355Z
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 2fdfe76f-ab5e-4f2a-902c-865311d92883 · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.199296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2297079-c849-4289-b865-eef7ad6666a1 · outbound
This paper cites Ghosh, A.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Ghosh, A
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:17.060457Z
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 49669508-7808-4623-a5d3-c82c0269bbbb · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 6
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:11:16.305953Z
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 952d9019-742f-4770-8547-e0bcb916b8bc · outbound
This paper cites Shangguan, Y.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Shangguan, Y
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-05T13:11:15.562764Z
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 0e9982eb-3634-4f43-ad29-c9d008edad7b · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:17.033084Z
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 2a567e9c-c06e-4aec-b6ae-d652572a03ee · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 9
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:11:16.169292Z
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 574405ee-3a82-410d-99c2-2a5faab2ccc7 · outbound
This paper cites Why Does ChatGPT Fall Short in Providing Truthful Answers?.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Why Does ChatGPT Fall Short in Providing Truthful Answers?
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.236963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59bdf2da-de60-4987-b08a-af8d121826f4 · outbound
This paper cites McKenna, T.
Exploring and Mitigating Fawning Hallucinations in Large Language Models McKenna, T
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:17.013733Z
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 04da13a5-cc31-44f9-9f06-710ed1bceb12 · outbound
This paper cites Chuang, Y.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Chuang, Y
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.993394Z
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 04493e6b-cc69-48be-95ab-b2079c73de36 · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.970741Z
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 17548955-5f99-4f31-9326-c96be0775dbe · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.944862Z
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 f1ea9c20-692c-4597-9add-02a4768edd0d · outbound
This paper cites Cotra, Why AI alignment could be hard with modern deep learning, Cold Takes (2021).
Exploring and Mitigating Fawning Hallucinations in Large Language Models Cotra, Why AI alignment could be hard with modern deep learning, Cold Takes (2021)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.925655Z
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 0867dfc3-bc67-4807-803e-2ce22b55c3d6 · outbound
This paper cites Perez, S.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Perez, S
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.904312Z
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 7b95d8c7-2857-4cd7-bd5e-4139eaa2ecc3 · outbound
This paper cites Turpin, J.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Turpin, J
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.881732Z
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 e78d4b64-71b4-495f-ae66-157209157610 · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.854284Z
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 f63a6e42-55bd-4132-b7cc-02fd452bf85e · outbound
This paper cites Huang, W.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Huang, W
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.829106Z
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 ed707feb-75cf-46f7-a91f-cfae926d419a · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.809584Z
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 62d29e57-77a4-4266-b55e-84860bcc53fb · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.791057Z
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 5d23ffdc-870b-4fe1-a6e6-6e3cbc6d9143 · outbound
This paper cites Sharma, M.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Sharma, M
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.773455Z
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 f02f1022-4c18-4d22-ab55-f9ef267c6407 · outbound
This paper cites Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.316050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b722b44-b4ab-4e5f-a597-dba0ae62aec2 · outbound
This paper cites Chaos with Keywords: Exposing Large Language Models Sycophantic Hallucination to Misleading Keywords and Evaluating Defense Strategies.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Chaos with Keywords: Exposing Large Language Models Sycophantic Hallucination to Misleading Keywords and Evaluating Defense Strategies
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.321455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6035dad-8d9a-46f5-901b-c2c4aaf6c4fc · outbound
This paper cites How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts.
Exploring and Mitigating Fawning Hallucinations in Large Language Models How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.327583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb17d107-5b51-4c73-ba90-081f409605c8 · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.334393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65ffbc35-cccd-4212-a5ce-9a41e96c52b0 · outbound
This paper cites Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.340718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c627f0f8-a321-417a-9c31-32e8d9eb7092 · outbound
This paper cites Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.347843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00fc1845-1bbb-4acf-ab20-a13dc10b2d74 · outbound
This paper cites Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.354419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58c166c4-cf0e-40a3-b478-70d45c5147b7 · outbound
This paper cites Simple synthetic data reduces sycophancy in large language models.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Simple synthetic data reduces sycophancy in large language models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.361525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 061a86f1-860f-49c2-bc3f-df954a67a01f · outbound
This paper cites From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.
Exploring and Mitigating Fawning Hallucinations in Large Language Models From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.369956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9acc8944-353b-4779-934c-6fba6bb46cdf · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.754619Z
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 2ed13e14-0892-4b18-a2a6-46c16f8511df · outbound
This paper cites ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding.
Exploring and Mitigating Fawning Hallucinations in Large Language Models ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.385658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a49e8162-9180-4bfb-be70-28aa2f089017 · outbound
This paper cites Contrastive Decoding Improves Reasoning in Large Language Models.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Contrastive Decoding Improves Reasoning in Large Language Models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.391802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7eb2d9a-b2f9-4fef-b2c1-ac086ed6e7f1 · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.737092Z
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 725b7862-564c-4f6a-b417-0e9e0cd11131 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.406331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01de6c64-e894-431b-96e8-c9ce85c82fca · outbound
This paper cites Mistral 7B.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Mistral 7B
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.411614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 695926d8-68f3-401b-b1c6-1201f47ffdd8 · outbound
This paper cites Qwen3 Technical Report.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Qwen3 Technical Report
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.422816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c9d25f3-246b-47b0-90cc-73cfa8943aaa · outbound
This paper cites The Llama 3 Herd of Models.
Exploring and Mitigating Fawning Hallucinations in Large Language Models The Llama 3 Herd of Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.428296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ecdccfa-9c43-4dbe-abb7-efeaab190d96 · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.721199Z
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 c8173312-ae79-4d52-adb0-d5d2f96cdcc2 · outbound
This paper cites Your task is to accurately answer user questions regarding the sentiment expressed in a given text.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Your task is to accurately answer user questions regarding the sentiment expressed in a given text
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.704839Z
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 80b08a2c-f4e3-46f6-8903-4b29c140f585 · outbound
This paper cites Be concise, accurate, and avoid any irrelevant information or unnecessary elaboration.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Be concise, accurate, and avoid any irrelevant information or unnecessary elaboration
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.663300Z
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 c8fae102-b941-41cb-9c1d-d57632c87b09 · outbound
This paper cites neutral",.
Exploring and Mitigating Fawning Hallucinations in Large Language Models neutral",
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.685383Z
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 0ac790d8-6f55-4a5a-a8ea-0908aaa80ac3 · outbound
This paper cites Be concise, accurate, and avoid any irrelevant information or unnecessary elaboration.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Be concise, accurate, and avoid any irrelevant information or unnecessary elaboration
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.642119Z
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 e706bdf9-1a03-4b3a-8b39-680b117b2285 · outbound
This paper cites an unresolved cited work.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:11:16.617917Z
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 d8ec2147-a4ca-4d2c-a7fe-ed8b9fa23888 · outbound
This paper cites If there are already details consistent with the ***given label***, incorporate them to strengthen the alignment.
Exploring and Mitigating Fawning Hallucinations in Large Language Models If there are already details consistent with the ***given label***, incorporate them to strengthen the alignment
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.597582Z
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 5d6fb663-c8a0-46ce-aff8-28f29dcd6774 · outbound
This paper cites it is said that.
Exploring and Mitigating Fawning Hallucinations in Large Language Models it is said that
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.569094Z
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 6c2a623b-ccd4-4878-90e0-c3c93d7eb5c4 · outbound
This paper cites Under normal prompts, both examples are handled correctly by the base model.
Exploring and Mitigating Fawning Hallucinations in Large Language Models Under normal prompts, both examples are handled correctly by the base model
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:11:16.542487Z
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
Observation 80e42886-502f-4bad-ac84-a5966fca19bc · inbound
Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities cites this paper.
Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities Exploring and Mitigating Fawning Hallucinations in Large Language Models
Reference 10
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-02T04:47:03.533883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caca03fa-bdbc-4036-af0c-31daa2bcebdc · inbound
Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities cites this paper.
Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities Exploring and Mitigating Fawning Hallucinations in Large Language Models
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-02T04:48:25.418833Z
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.