Paper Citation Record · LEDGER

Conditional Optimal Bridge for Riemannian Activation Steering

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.10517.

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pith.paper-citation-record.v1
2607.10517 v1

Coverage vector

measured 31 of 31 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T11:08:17.571722Z

measured 31 of 31 standing notices

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31 of 31 outbound references displayed

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Outbound references

Observation 90b48586-550e-4e8f-9b1d-8c5f02cfb9f1 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Conditional Optimal Bridge for Riemannian Activation Steering Understanding intermediate layers using linear classifier probes

Reference 1

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Observation 060b6396-81eb-472a-a2d9-a0e50bca440b · outbound

This paper cites The Falcon Series of Open Language Models.

Conditional Optimal Bridge for Riemannian Activation Steering The Falcon Series of Open Language Models

Reference 2

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Observation ab15ab25-369b-452d-91c7-3fb5f45bc50c · outbound

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

Conditional Optimal Bridge for Riemannian Activation Steering Understanding (Un)Reliability of Steering Vectors in Language Models

Reference 3

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Observation 8287a2d1-cc29-4d7a-a934-6926eab8037f · outbound

This paper cites Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory.

Conditional Optimal Bridge for Riemannian Activation Steering Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory

Reference 4

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Observation da4bdd58-5fbd-4603-bb35-c514b20f9e37 · outbound

This paper cites LiSeCo: Linear Semantic Control for Language Generation.

Conditional Optimal Bridge for Riemannian Activation Steering LiSeCo: Linear Semantic Control for Language Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T11:08:17.571722Z

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Observation 6210a4d4-458a-48b0-8d6c-be5087fe6cea · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Conditional Optimal Bridge for Riemannian Activation Steering Training Verifiers to Solve Math Word Problems

Reference 6

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Observation 4a16f47b-9bc5-40a8-9460-2de8f9c818f8 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

Conditional Optimal Bridge for Riemannian Activation Steering UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 7

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Observation 00f49161-ea34-4f4a-8117-0bdb4ee23857 · outbound

This paper cites RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models.

Conditional Optimal Bridge for Riemannian Activation Steering RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 8

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Observation 6dbb4949-792f-45cb-acbe-f56431bdd32f · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Conditional Optimal Bridge for Riemannian Activation Steering Measuring Massive Multitask Language Understanding

Reference 9

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Observation 81c48ec0-049d-447d-9042-10c8f281993d · outbound

This paper cites Mistral 7B.

Conditional Optimal Bridge for Riemannian Activation Steering Mistral 7B

Reference 10

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Observation c5efd4ae-2754-42c0-ab83-79cc26898fa9 · outbound

This paper cites Mistral 7B.

Conditional Optimal Bridge for Riemannian Activation Steering Mistral 7B

Reference 11

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Observation bc386dd6-4488-46d9-a187-51a1aec9695f · outbound

This paper cites Anton Korznikov, Andrey Galichin, Alexey Dontsov, Oleg Y Rogov, Ivan Oseledets, and Elena Tutubalina.

Conditional Optimal Bridge for Riemannian Activation Steering Anton Korznikov, Andrey Galichin, Alexey Dontsov, Oleg Y Rogov, Ivan Oseledets, and Elena Tutubalina

Reference 12

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Observation 682939d5-1154-464e-9d7a-9fbe1d32dbb9 · outbound

This paper cites Rewardbench: Evaluating reward models for language modeling.

Conditional Optimal Bridge for Riemannian Activation Steering Rewardbench: Evaluating reward models for language modeling

Reference 13

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Observation 512efca9-8022-4c38-a3b7-9196e15ebcb7 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Conditional Optimal Bridge for Riemannian Activation Steering TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 14

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Observation a1b82886-1798-4d2b-9108-682d2fd61fce · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Conditional Optimal Bridge for Riemannian Activation Steering The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 15

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Observation aa4122ee-ec55-4eee-8fbd-db63af8be567 · outbound

This paper cites Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective.

Conditional Optimal Bridge for Riemannian Activation Steering Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective

Reference 16

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Observation f47c8732-5d0c-412d-b644-1fd6831a9ff1 · outbound

This paper cites The necessity for intervention fidelity: Unintended side effects when steering llms.

Conditional Optimal Bridge for Riemannian Activation Steering The necessity for intervention fidelity: Unintended side effects when steering llms

Reference 17

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Observation 59045156-0ddf-41fa-8471-286a85d5a153 · outbound

This paper cites doi:10.18653/v1/2024.acl-long.828.

Conditional Optimal Bridge for Riemannian Activation Steering doi:10.18653/v1/2024.acl-long.828

Reference 18

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Observation 2d30eb45-8e55-45ab-93bb-6d445d39ddcd · outbound

This paper cites Representation Surgery: Theory and Practice of Affine Steering.

Conditional Optimal Bridge for Riemannian Activation Steering Representation Surgery: Theory and Practice of Affine Steering

Reference 19

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Observation 5a15b47e-b76b-4552-b3ea-cb554e49e31c · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Conditional Optimal Bridge for Riemannian Activation Steering Score-Based Generative Modeling through Stochastic Differential Equations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T11:08:17.571722Z

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Observation 7eeb79ea-e59e-4f63-b908-4383d20bf220 · outbound

This paper cites Tian Xie, Haoming Luo, Haoyu Tang, Yiwen Hu, Jason Klein Liu, Qingnan Ren, Yang Wang, Wayne Xin Zhao, Rui Yan, Bing Su, et al.

Conditional Optimal Bridge for Riemannian Activation Steering Tian Xie, Haoming Luo, Haoyu Tang, Yiwen Hu, Jason Klein Liu, Qingnan Ren, Yang Wang, Wayne Xin Zhao, Rui Yan, Bing Su, et al

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T11:08:17.571722Z

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Observation 7b35cefb-5bcc-4cee-b570-19e3cedf530a · outbound

This paper cites A Spectral Condition for Feature Learning.

Conditional Optimal Bridge for Riemannian Activation Steering A Spectral Condition for Feature Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T11:08:17.571722Z

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Observation 93ba021d-2b9f-40bc-a41d-e718840b79e2 · outbound

This paper cites Spherical Steering: Geometry-Aware Activation Rotation for Language Models.

Conditional Optimal Bridge for Riemannian Activation Steering Spherical Steering: Geometry-Aware Activation Rotation for Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T11:08:17.571722Z

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Observation 5fe7aceb-e5da-4b35-89db-4216a66aa1d7 · outbound

This paper cites Odesteer: A unified ode-based steering framework for llm alignment.arXiv preprint arXiv:2602.17560,.

Conditional Optimal Bridge for Riemannian Activation Steering Odesteer: A unified ode-based steering framework for llm alignment.arXiv preprint arXiv:2602.17560,

Reference 24

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Observation af148f36-b20b-4a8c-97ef-e841ea9c2673 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Conditional Optimal Bridge for Riemannian Activation Steering Representation Engineering: A Top-Down Approach to AI Transparency

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T11:08:17.571722Z

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Observation 7656a10d-fffc-4b17-9700-bf3ee35917a1 · outbound

This paper cites Specifically, CAA simplifies this trajectory by optimizing over a flat Euclidean space M = Rd via a single discrete step (K = 1).

Conditional Optimal Bridge for Riemannian Activation Steering Specifically, CAA simplifies this trajectory by optimizing over a flat Euclidean space M = Rd via a single discrete step (K = 1)

Reference 26

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Observation ec259889-92ba-433f-80f9-6dad954c7882 · outbound

This paper cites 13 Table 3: Summary of Parameterizations under the Unified Global Flow Framework.

Conditional Optimal Bridge for Riemannian Activation Steering 13 Table 3: Summary of Parameterizations under the Unified Global Flow Framework

Reference 27

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Observation fc363ddf-79c2-436f-9e6c-ba4c29e10e0b · outbound

This paper cites B.2 Derivation of the Riemannian Gradient oflog ˆψandlog ˆϕ We derive Eq.(17) which is the closed-form Riemannian gradient of the log backward Schrödinger factor onS.

Conditional Optimal Bridge for Riemannian Activation Steering B.2 Derivation of the Riemannian Gradient oflog ˆψandlog ˆϕ We derive Eq.(17) which is the closed-form Riemannian gradient of the log backward Schrödinger factor onS

Reference 28

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Observation 7a6fe934-1932-4d0f-8994-8876865ad16a · outbound

This paper cites an unresolved cited work.

Conditional Optimal Bridge for Riemannian Activation Steering Unresolved cited work

Reference 29

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Observation 8615bb59-482b-4300-b0ff-c918ddbbc304 · outbound

This paper cites The judge predicts whether a response is informative or helpful using prompts of the form: Q: {question} \n A: {answer}.

Conditional Optimal Bridge for Riemannian Activation Steering The judge predicts whether a response is informative or helpful using prompts of the form: Q: {question} \n A: {answer}

Reference 30

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Observation 2239b95a-0fb4-4eaa-975d-9824d39dedb7 · outbound

This paper cites Lower values therefore indicate less toxic generations.

Conditional Optimal Bridge for Riemannian Activation Steering Lower values therefore indicate less toxic generations

Reference 31

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