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Paper Citation Record · LEDGER

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.10156.

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

pith.paper-citation-record.v1
2411.10156 v5

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:58:47.951473Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a38cdf63-c465-4abf-baf2-d33fae786eaf · outbound

This paper cites Comprehensive Exploration of Synthetic Data Generation: A Survey.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 2

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no resolver link, observed 2026-08-12T19:58:47.585475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.585475Z digest=sha256:3c16d359c91d9a21c26a7378176a21406a70e41124eaad5d9ab28c01afeea5f9

Observation fca1a825-d862-4d0d-8c91-9ec93279f49b · outbound

This paper cites Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMs

Reference 8

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no resolver link, observed 2026-08-12T19:58:47.666358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.666358Z digest=sha256:150cc301971b4fe54edc21503e1ca2c5bca0991cdc40a99d12aa2f5c77422d43

Observation 31d7975b-81a9-44e1-8a28-cb607701a29e · outbound

This paper cites Mining Causality: AI-Assisted Search for Instrumental Variables.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Mining Causality: AI-Assisted Search for Instrumental Variables

Reference 9

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no resolver link, observed 2026-08-12T19:58:47.673280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.673280Z digest=sha256:3fb667077ac0b359727ea1d4857f9916ee7ee231f03bd23f6f86109e80991f9d

Observation 9dce9a69-d300-4c35-a3e4-747d61ecbd77 · outbound

This paper cites an unresolved cited work.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-12T19:58:48.436219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T19:58:47.679341Z digest=sha256:e87d387990ae5921bc77784a32f9ace7e73a4a4053e6361869f44949970f7b93

Observation 9f6bfd75-1e16-402c-a9d1-b262aa0a2d6c · outbound

This paper cites The impact of positional encoding on length generalization in transformers.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention The impact of positional encoding on length generalization in transformers

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T19:58:48.417906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T19:58:47.684943Z digest=sha256:b4e7ba4be03be1717b4bc247721eaccdb41d69601fc4f264e88e51e47b2cce60

Observation fc768367-397d-4a9b-9cdf-0ebe7876cc3d · outbound

This paper cites Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Reference 12

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unresolved
no resolver link, observed 2026-08-12T19:58:47.691448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.691448Z digest=sha256:5c7745422db094103d0b6f2abf6dd6fbb89b8e62b953e5d43059bd811a610537

Observation b81e5a9e-9514-4a86-899f-947146bf6261 · outbound

This paper cites AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations

Reference 14

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no resolver link, observed 2026-08-12T19:58:47.697708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.697708Z digest=sha256:587e73ed7d04fbb4aa598ff4dcf2eb621117a1307a74c2d4e5eb1d3b6f80aef9

Observation 703ebaad-58e0-4543-9990-aa7c74b71908 · outbound

This paper cites Introducing ChatGPT.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Introducing ChatGPT

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-12T19:58:48.398274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T19:58:47.734950Z digest=sha256:01a11dfb37d96c40130e8a3154786ce28c2690e86c3779edd63571408e4a9d9a

Observation ec31b57c-1eb7-4d58-9447-a36bda731daf · outbound

This paper cites Learning Interpretable Style Embeddings via Prompting LLMs.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Learning Interpretable Style Embeddings via Prompting LLMs

Reference 19

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no resolver link, observed 2026-08-12T19:58:47.825691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.825691Z digest=sha256:6adf65ed2b749bc5dfe7ef7e8b71be42dc03bc991a40a2e40f21058fbf2a5029

Observation dde9ec76-2cda-47f6-9770-032e3eb00795 · outbound

This paper cites One Wide Feedforward is All You Need.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention One Wide Feedforward is All You Need

Reference 20

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unresolved
no resolver link, observed 2026-08-12T19:58:47.893812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.893812Z digest=sha256:f1165dcd9bf7e1b46e7d1c55d9bed81722173f8538a96eaf2e65e0961cb86a77

Observation c2339540-5365-4d65-a87a-20e43ef3ba44 · outbound

This paper cites When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour.

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

Reference 21

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.900343Z digest=sha256:570baee1a8d0b0da8215aed593e44c139166a919e5b587fa4cf144334ec3d8ed

Observation 27fdbac8-7e17-4fd9-b741-239eb7ccd13b · outbound

This paper cites Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models

Reference 22

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metadata mismatch
local_arxiv, observed 2026-08-12T19:58:48.169542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T19:58:47.906264Z digest=sha256:76c7e7dd7c25efc69956db3afd747649186491d93651f350fd97c2d560f3e358

Observation 12148642-819e-4830-9d56-d5f3e2e6fa12 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Towards Understanding Sycophancy in Language Models

Reference 25

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unresolved
no resolver link, observed 2026-08-12T19:58:47.911786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.911786Z digest=sha256:73174327e796121d8458f3b9b6151d5664ff4660f6236c7d39aa29a5bb529442

Observation 15b44040-fb43-4ded-9b4e-719b1ad88df1 · outbound

This paper cites Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation

Reference 26

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unresolved
no resolver link, observed 2026-08-12T19:58:47.917112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.917112Z digest=sha256:e55409e57dcd66d7b200ab4720735828d1e7876e0272bbe876989bf2e8a900ad

Observation af48f8ee-5148-48c4-9ebb-66334a4af48b · outbound

This paper cites A Study on ReLU and Softmax in Transformer.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention A Study on ReLU and Softmax in Transformer

Reference 27

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no resolver link, observed 2026-08-12T19:58:47.923221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.923221Z digest=sha256:ee2071aa1d55e725829495d7647fb63d4de925e6b1ad0f590a8c1f4681c02277

Observation 7b3dca00-679a-457c-80b1-3e4a38997490 · outbound

This paper cites Multimodal query suggestion with multi-agent reinforcement learning from human feedback.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Multimodal query suggestion with multi-agent reinforcement learning from human feedback

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-12T19:58:48.375618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T19:58:47.928849Z digest=sha256:edcb1c76d5e66f779865639eacf4014a82d243a7a386e0d741bbd757a4821837

Observation 5a4b64d8-46eb-45c5-9634-7cd4eb8ae2d0 · outbound

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

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Simple synthetic data reduces sycophancy in large language models

Reference 30

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unresolved
no resolver link, observed 2026-08-12T19:58:47.934173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.934173Z digest=sha256:dff07ad0466a03c8b2b87d4ff9f6979c821868383159e31db397e4a9e0f7ed95

Observation 8dc49710-fb4e-4022-96ff-73a56496b5ef · outbound

This paper cites Generating Synthetic Text Data to Evaluate Causal Inference Methods.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Generating Synthetic Text Data to Evaluate Causal Inference Methods

Reference 31

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unresolved
no resolver link, observed 2026-08-12T19:58:47.940457Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.940457Z digest=sha256:07b3735d509de8f94dd310ca14ee361e4baa853974d642e9b8d129e21c044ce9

Observation b99462d8-8615-48ae-b66a-b9996ef0f6fc · outbound

This paper cites Self-Rewarding Language Models.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention Self-Rewarding Language Models

Reference 32

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no resolver link, observed 2026-08-12T19:58:47.945748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.945748Z digest=sha256:773bda26143dd5d538437cbfff80c1db29083193ad606151837d0e87b52aa414

Observation 5adc2db6-9f1b-497f-81cf-fa92d136831d · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data Intervention OPT: Open Pre-trained Transformer Language Models

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.951473Z digest=sha256:a5f6f98b1ab19ffec97229bd88f3d10e51dfee5b967a3d842e3394b3f8f24fb2

Pith citing papers

No inbound Pith citation observations are available.