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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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:b99bac7559a093e0a6bef7b9b6926f6731e9e9641c61fd1c652980aab34a0e23

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

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source=pdf_text observed=2026-08-12T19:58:47.666358Z digest=sha256:ba354033be8c2895efaf7a8afc3320cf1b05ae53cf93a8ce8efe848b7ecbc975

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.673280Z digest=sha256:90b6e99b927ebab56fac2acd8013ee8637f0f9408e47a29b2555e266e2229227

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:58:47.679341Z digest=sha256:a13120d98687564a66860c8cc8edc394fda1244c82d10264e64cedd77e0ef4b4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:58:47.684943Z digest=sha256:c3775c30ae640f03581a8930d04e1673f8e2ce7cccae991c6453ce22a8bf004c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.691448Z digest=sha256:51393ef6b24a76caa0529e2b8cd412c19de2fa9fb10ff726e2b495085082b527

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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source=pdf_text observed=2026-08-12T19:58:47.697708Z digest=sha256:71e67d7c6f095a663ef327e98a5f7de647e1a13ee54a54c7a3dfeabc036d28f5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:58:47.734950Z digest=sha256:0a9e16501f0c378dbacf1e71dedc2f0c6ca15cc2482fc233c602b8ee9eb563d6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.825691Z digest=sha256:138ce969b9801dcbc07b15e012d82d6f863de498db4b90210ba99ead46d83e21

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:da369ede6f4669336cf380a8ec848db4f87e8c4eafdbfe0a20e7d07526caabf1

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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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=sha256:8f9f986bd170e960a7d55be3befcd15724f262c0608c6f5ec54ab74c889c9953

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:58:47.906264Z digest=sha256:04ec4d651aeb7aab638214c38fd6c2ad8e6d348054f29c90973787e99a4c72e2

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=sha256:444c00c6a6921e2b7e4cca935e5df855b9355459921ec454d83961682320bfc4

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:f75a83d74b44053c1a37ae717588a2be561a63f1b1140418a6339b2e1c2228b6

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:cec9ef667795b970e2d37fbde6316a0673a5db971782823596ee8ee62ef1b36c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T19:58:47.928849Z digest=sha256:3747f1ba20aa6613612ce4786297d4a4984e61a7ce2a3bd5a16e1e513096f90e

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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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:a74ed7822a8b133d120c0cd0b4e9dc98033199f0b479d72828ee9a2d7d9e888a

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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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=sha256:28fc4df79a03622c742177b4d75245bcade2300ffdd7d65685281767fc013fc4

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.945748Z digest=sha256:b7180437d70b79ea83c3320b90283cca0739fb2dba309a0b90819c7d79732dd3

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:58:47.951473Z digest=sha256:7d16cef155a1a65c29f9be0b78ce260be4cb194638cc8fcf072f23335af778df

Pith citing papers

No inbound Pith citation observations are available.