Paper Citation Record · LEDGER

Detecting and Controlling Sycophancy with Cascading Linear Features

As of 6 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.26155.

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

pith.paper-citation-record.v1
2606.26155 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:24:56.600219Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

22 of 22 outbound references displayed

verified exact15
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7802e6e1-8224-4100-be9d-0eaf274fef44 · outbound

This paper cites SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy.

Detecting and Controlling Sycophancy with Cascading Linear Features SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.074935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d6c0238-a48e-4825-ae00-cabcc32cf3ed · outbound

This paper cites Understanding (Un)Reliability of Steering Vectors in Language Models.

Detecting and Controlling Sycophancy with Cascading Linear Features Understanding (Un)Reliability of Steering Vectors in Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.005467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dc30990d-7ff5-42a8-9cee-f84ca89e9779 · outbound

This paper cites Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks.

Detecting and Controlling Sycophancy with Cascading Linear Features Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.030800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e7271e6a-7a73-47d4-9141-dc237eb59ac0 · outbound

This paper cites Persona Vectors: Monitoring and Controlling Character Traits in Language Models.

Detecting and Controlling Sycophancy with Cascading Linear Features Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.045663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dc68b7f1-7ab0-48f4-842a-7d96c8b13019 · outbound

This paper cites ELEPHANT: Measuring and understanding social sycophancy in LLMs.

Detecting and Controlling Sycophancy with Cascading Linear Features ELEPHANT: Measuring and understanding social sycophancy in LLMs

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.039631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 20b884d5-82bd-4baa-9d1c-5169393e970a · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Detecting and Controlling Sycophancy with Cascading Linear Features Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:56.985727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 810cbd73-b943-499a-ab27-a83b290d1d6d · outbound

This paper cites One-shot Optimized Steering Vectors Mediate Safety-relevant Behaviors in LLMs.

Detecting and Controlling Sycophancy with Cascading Linear Features One-shot Optimized Steering Vectors Mediate Safety-relevant Behaviors in LLMs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.081360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b2051d06-7c02-4b4d-87c2-060e961b069e · outbound

This paper cites Toy Models of Superposition.

Detecting and Controlling Sycophancy with Cascading Linear Features Toy Models of Superposition

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.011035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation af7ae8e0-24f4-4f0e-a6e9-485e73e84084 · outbound

This paper cites arXiv preprint arXiv:2602.04428 , year=.

Detecting and Controlling Sycophancy with Cascading Linear Features arXiv preprint arXiv:2602.04428 , year=

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:56.996407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2abe249e-7290-45d6-b3b8-bf548c9e8c1c · outbound

This paper cites Ferrao, M.

Detecting and Controlling Sycophancy with Cascading Linear Features Ferrao, M

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.024800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation aadcc79c-43bc-427c-9aae-adce874d22cf · outbound

This paper cites The Llama 3 Herd of Models.

Detecting and Controlling Sycophancy with Cascading Linear Features The Llama 3 Herd of Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.087506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c3dfc7c1-d7e8-41d9-bff1-98bb143f130c · outbound

This paper cites Miehling, M.

Detecting and Controlling Sycophancy with Cascading Linear Features Miehling, M

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T01:24:56.600219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7182e64-a794-412d-97ea-93f86ef4ef03 · outbound

This paper cites was it “stated.

Detecting and Controlling Sycophancy with Cascading Linear Features was it “stated

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T01:24:56.600219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f36567b-1843-48be-953b-c167eec4e137 · outbound

This paper cites Perez, S.

Detecting and Controlling Sycophancy with Cascading Linear Features Perez, S

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T01:24:56.600219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83e0b556-6b45-495a-aae8-3169876bb8be · outbound

This paper cites Towards Reliable Evaluation of Behavior Steering Interventions in LLMs.

Detecting and Controlling Sycophancy with Cascading Linear Features Towards Reliable Evaluation of Behavior Steering Interventions in LLMs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:57.060759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34a0e03f-15c9-4d2b-9414-025f376e78fe · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Detecting and Controlling Sycophancy with Cascading Linear Features Towards Understanding Sycophancy in Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.018285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 078804ee-328e-4180-9142-19401d7587ad · outbound

This paper cites Subramani, N.

Detecting and Controlling Sycophancy with Cascading Linear Features Subramani, N

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T01:24:56.600219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9196c27-c649-4892-a9af-87e47c4526a7 · outbound

This paper cites Steering Language Models With Activation Engineering.

Detecting and Controlling Sycophancy with Cascading Linear Features Steering Language Models With Activation Engineering

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.053149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation abaa2de1-debc-43e2-b46c-595a622c2dbb · outbound

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

Detecting and Controlling Sycophancy with Cascading Linear Features Simple synthetic data reduces sycophancy in large language models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.068230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cd51c28a-b12d-4c11-b952-c686e1c9d9e9 · outbound

This paper cites LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

Detecting and Controlling Sycophancy with Cascading Linear Features LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 20

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T15:49:57.092348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cbf12394-cf82-4184-ada2-f830caa9fd79 · outbound

This paper cites Each scenario follows the same format as the Anthropic Sycophancy Dataset (Perez et al., 2023).

Detecting and Controlling Sycophancy with Cascading Linear Features Each scenario follows the same format as the Anthropic Sycophancy Dataset (Perez et al., 2023)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T01:24:56.600219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f83bbee-6594-4612-9e61-92d2da6b78ae · outbound

This paper cites I cannot answer that.

Detecting and Controlling Sycophancy with Cascading Linear Features I cannot answer that

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T01:24:56.600219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.