Paper Citation Record · LEDGER

Enhancing Cross-task Transfer of Large Language Models via Activation Steering

As of 15 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2507.13236.

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

pith.paper-citation-record.v1
2507.13236 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T22:50:36.506757Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T23:00:11.079370Z

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation ad7d969a-447c-43de-a8df-40c978f7e904 · outbound

This paper cites A Survey of Large Language Models.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering A Survey of Large Language Models

Reference 1

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Observation f8ef13bc-c109-4201-a7ad-c07d32cb32b0 · outbound

This paper cites Learning to reason with llms, 2024.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Learning to reason with llms, 2024

Reference 2

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Observation 031d6bd3-bb6c-42b4-b190-11a6a61b809b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

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This paper cites The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities

Reference 4

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Observation bc8937aa-072e-4e8a-9480-01c58ef79586 · outbound

This paper cites A comprehensive survey on transfer learning.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering A comprehensive survey on transfer learning

Reference 5

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Observation 4f2cf031-5ea0-4e62-a913-b4f538ec0d53 · outbound

This paper cites Franke, Ivo Rapant, Fabio Ferreira, and Frank Hutter.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Franke, Ivo Rapant, Fabio Ferreira, and Frank Hutter

Reference 6

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This paper cites A transfer learning framework for weak to strong generalization.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering A transfer learning framework for weak to strong generalization

Reference 7

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Observation 58ff401f-c590-4162-bfbb-bcbbc735ea37 · outbound

This paper cites Spot: Better frozen model adaptation through soft prompt transfer.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Spot: Better frozen model adaptation through soft prompt transfer

Reference 8

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Learning to transfer prompts for text generation

Reference 9

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This paper cites Hyperlora: Efficient cross-task generalization via constrained low-rank adapters genera- tion.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Hyperlora: Efficient cross-task generalization via constrained low-rank adapters genera- tion

Reference 10

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Observation bead3e33-8163-4865-a5f1-4592a0e51168 · outbound

This paper cites Soft Language Prompts for Language Transfer.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Soft Language Prompts for Language Transfer

Reference 11

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Observation 590724b8-60a8-4e15-8119-edc245abb9e3 · outbound

This paper cites Multilingual llms are better cross-lingual in-context learners with alignment.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Multilingual llms are better cross-lingual in-context learners with alignment

Reference 12

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Observation ba7e742b-3bba-4bff-b92c-85eb18fb6f3d · outbound

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Llms are few-shot in-context low- resource language learners

Reference 13

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Observation edf91df9-1a94-4e1b-acaa-7f3105c0d0c0 · outbound

This paper cites From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL

Reference 14

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This paper cites Language models can exploit cross-task in-context learning for data-scarce novel tasks.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Language models can exploit cross-task in-context learning for data-scarce novel tasks

Reference 15

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Observation e076dc3d-105a-4d16-b1be-b985f9c09e93 · outbound

This paper cites Diverse demonstrations improve in-context compositional generalization.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Diverse demonstrations improve in-context compositional generalization

Reference 17

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Observation 529dcaa7-1447-490d-8102-2605ec44a941 · outbound

This paper cites Complementary explanations for effective in-context learning.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Complementary explanations for effective in-context learning

Reference 18

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Observation ccf39bf6-c786-4e8a-a1fd-fa54d89fdaf8 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 19

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This paper cites Cross-task gen- eralization via natural language crowdsourcing instructions.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Cross-task gen- eralization via natural language crowdsourcing instructions

Reference 20

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Observation edc733f1-7186-491a-b64f-330b3ea50fe9 · outbound

This paper cites Continuous Transfer Learning with Label-informed Distribution Alignment.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Continuous Transfer Learning with Label-informed Distribution Alignment

Reference 21

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This paper cites Continual transfer learning for cross-domain click-through rate prediction at taobao.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Continual transfer learning for cross-domain click-through rate prediction at taobao

Reference 22

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Aligning large language models with human preferences through representation engineering

Reference 23

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This paper cites Personalized steering of large language models: Versatile steering vectors through bi-directional preference optimization.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Personalized steering of large language models: Versatile steering vectors through bi-directional preference optimization

Reference 24

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This paper cites Improving instruction-following in language models through activation steering.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Improving instruction-following in language models through activation steering

Reference 25

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This paper cites Viégas, Hanspeter Pfister, and Martin Wattenberg.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Viégas, Hanspeter Pfister, and Martin Wattenberg

Reference 26

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Refusal in language models is mediated by a single direction

Reference 27

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Unresolved cited work

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This paper cites Improving reasoning performance in large language models via representation engineering.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Improving reasoning performance in large language models via representation engineering

Reference 29

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This paper cites Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 30

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Neural networks and physical systems with emergent collective computational abilities

Reference 31

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

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Representation Engineering: A Top-Down Approach to AI Transparency

Reference 32

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This paper cites DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 33

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Diff-erank: A novel rank-based metric for evaluating large language models

Reference 34

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 35

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Visualizing data using t-sne

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 37

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 38

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Character-level convolutional networks for text classification

Reference 39

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 40

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 41

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Unresolved cited work

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Natural Language Understanding with the Quora Question Pairs Dataset

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Manning, Andrew Y

Reference 44

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Korhonen, Jyrki Wallenius, and Pyry Takala

Reference 45

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:51.821950Z

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering The sciqa scientific question answering benchmark for scholarly knowledge

Reference 47

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This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering SocialIQA: Commonsense Reasoning about Social Interactions

Reference 48

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Unresolved cited work

Reference 49

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This paper cites What makes good in-context examples for gpt-3? In DeeLIO@ACL, pages 100–114.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering What makes good in-context examples for gpt-3? In DeeLIO@ACL, pages 100–114

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:52.022127Z

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This paper cites Compositional ex- emplars for in-context learning.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Compositional ex- emplars for in-context learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:51.791766Z

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Observation 1e3adff8-8970-45df-8a69-f87252bd5d7e · outbound

This paper cites The Llama 3 Herd of Models.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering The Llama 3 Herd of Models

Reference 52

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Smith, and Tao Yu

Reference 53

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This paper cites IDEAL: influence-driven selective annotations empower in-context learners in large language models.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering IDEAL: influence-driven selective annotations empower in-context learners in large language models

Reference 54

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Let’s verify step by step

Reference 55

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering Unresolved cited work

Reference 56

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering A.", "B

Reference 57

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Enhancing Cross-task Transfer of Large Language Models via Activation Steering A.", "B

Reference 2017

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Pith citing papers

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SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Enhancing Cross-task Transfer of Large Language Models via Activation Steering

Reference 57

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When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure cites this paper.

When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure Enhancing Cross-task Transfer of Large Language Models via Activation Steering

Reference 5

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