Function Vectors in Large Language Models | Paper Citation Record

Observation 202e8ce7-6c0d-459e-aed9-a859c14d2f6b · inbound

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

The Linear Representation Hypothesis and the Geometry of Large Language Models Function Vectors in Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:43:30.555364Z

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Observation 1e99aaf8-5a26-4fe6-ace4-262e2dcb7f33 · inbound

How to use and interpret activation patching cites this paper.

How to use and interpret activation patching Function Vectors in Large Language Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:34:06.941038Z

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Observation 29839ecc-a41b-4a83-bb88-b16a8d986ebe · inbound

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers cites this paper.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers Function Vectors in Large Language Models

Reference 38

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Observation d86023fd-50ae-405b-9975-d5d6ab24ea65 · inbound

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features cites this paper.

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Function Vectors in Large Language Models

Reference 92

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Observation 3b7fdaa0-9504-4ad8-8883-50997517749a · inbound

Obfuscated Activations Bypass LLM Latent-Space Defenses cites this paper.

Obfuscated Activations Bypass LLM Latent-Space Defenses Function Vectors in Large Language Models

Reference 98

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Observation 783b8b71-cdc5-4cf7-87e7-803b1422d4e9 · inbound

Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective cites this paper.

Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective Function Vectors in Large Language Models

Reference 56

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Observation 1ced0d0c-f46c-4abd-8ae9-f5cf4a022ccd · inbound

Reversed Attention: On The Gradient Descent Of Attention Layers In GPT cites this paper.

Reversed Attention: On The Gradient Descent Of Attention Layers In GPT Function Vectors in Large Language Models

Reference 34

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Observation ff2fc2c7-4335-49f0-9f1e-b826c0cd9530 · inbound

ICLR: In-Context Learning of Representations cites this paper.

ICLR: In-Context Learning of Representations Function Vectors in Large Language Models

Reference 65

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Observation 7e428b76-947d-432e-a27e-0f1b496cbb12 · inbound

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit cites this paper.

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit Function Vectors in Large Language Models

Reference 41

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Observation 52e6582f-d0e6-4ca2-a7f0-cdcc6a4a631d · inbound

Physics of Skill Learning cites this paper.

Physics of Skill Learning Function Vectors in Large Language Models

Reference 7

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Observation 578f3ed6-7282-4f8e-9702-7dc8d71f438c · inbound

Harmonic Loss Trains Interpretable AI Models cites this paper.

Harmonic Loss Trains Interpretable AI Models Function Vectors in Large Language Models

Reference 10

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Observation 83fc3606-89a3-4f3f-b2be-db12617da1a1 · inbound

Task-driven Layerwise Additive Activation Intervention cites this paper.

Task-driven Layerwise Additive Activation Intervention Function Vectors in Large Language Models

Reference 20

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Observation 627c5139-0caf-4d66-bcd7-8e3a7d828baa · inbound

Functional Abstraction of Knowledge Recall in Large Language Models cites this paper.

Functional Abstraction of Knowledge Recall in Large Language Models Function Vectors in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:50:51.200662Z

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Observation 2d777dfc-ac0b-46e8-9201-bd766487fd07 · inbound

Improving Reasoning Performance in Large Language Models via Representation Engineering cites this paper.

Improving Reasoning Performance in Large Language Models via Representation Engineering Function Vectors in Large Language Models

Reference 17

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Observation df26eeb2-e546-4cba-a716-cdbc102862fd · inbound

Steering Large Language Models for Machine Translation Personalization cites this paper.

Steering Large Language Models for Machine Translation Personalization Function Vectors in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:50.458189Z

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Observation d7a229c4-804a-43cd-ac26-2a4f81e96d8d · inbound

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace cites this paper.

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace Function Vectors in Large Language Models

Reference 29

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Observation 528b1f47-fb11-476e-a2f0-d6f47868ade8 · inbound

Evaluating Steering Techniques using Human Similarity Judgments cites this paper.

Evaluating Steering Techniques using Human Similarity Judgments Function Vectors in Large Language Models

Reference 26

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Observation ea55c297-7e2f-4181-a079-3c0a3fd84ef1 · inbound

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cites this paper.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Function Vectors in Large Language Models

Reference 39

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Observation 96dbf721-bcbc-4538-8d96-a39327a76187 · inbound

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

Understanding (Un)Reliability of Steering Vectors in Language Models Function Vectors in Large Language Models

Reference 28

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Observation d29088bc-42e0-4a76-8bb7-9ecaf5ff86fd · inbound

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey cites this paper.

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey Function Vectors in Large Language Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:20.293292Z

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Observation 959a4e8b-42ef-4161-91f0-a29c38637dc2 · inbound

Distinct Computations Emerge From Compositional Curricula in In-Context Learning cites this paper.

Distinct Computations Emerge From Compositional Curricula in In-Context Learning Function Vectors in Large Language Models

Reference 46

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Observation 9225116f-b9dc-4673-a31f-deaa807e29eb · inbound

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective Function Vectors in Large Language Models

Reference 2019

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Observation a4479e9d-7622-4454-ac38-cbb14cec1525 · inbound

In-Context Learning Strategies Emerge Rationally cites this paper.

In-Context Learning Strategies Emerge Rationally Function Vectors in Large Language Models

Reference 93

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Observation 66ce685a-f5a9-4fe1-b1ff-1cdff219b023 · inbound

Can Interpretation Predict Behavior on Unseen Data? cites this paper.

Can Interpretation Predict Behavior on Unseen Data? Function Vectors in Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:30.949014Z

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Observation 6045a31c-4ba1-4a22-834d-5e9d979c263a · inbound

Learning without training: The implicit dynamics of in-context learning cites this paper.

Learning without training: The implicit dynamics of in-context learning Function Vectors in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:25.481995Z

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Observation f94a2457-2545-492a-b1f6-4f6e75757dab · inbound

Soft Head Selection for Injecting ICL-Derived Task Embeddings cites this paper.

Soft Head Selection for Injecting ICL-Derived Task Embeddings Function Vectors in Large Language Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T02:41:59.718114Z

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Observation 8c85f0aa-0d44-4204-a29a-ede02b6cd8dc · inbound

Goal-Directedness is in the Eye of the Beholder cites this paper.

Goal-Directedness is in the Eye of the Beholder Function Vectors in Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T19:23:18.405652Z

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Observation b58d9b6f-6896-4d3a-97da-89891791d5ff · inbound

When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth cites this paper.

When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth Function Vectors in Large Language Models

Reference 26

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Observation 16181b88-35f6-415c-9a9e-ef0583fae94f · inbound

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention cites this paper.

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention Function Vectors in Large Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:23.187923Z

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Observation 5d2a6c35-8b9e-44cf-a4b4-f5b531b56a7c · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Function Vectors in Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:31:25.493595Z

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Observation 2728d73d-d87f-4b41-9caf-32cc17ed0181 · inbound

How Do Language Models Compose Functions? cites this paper.

How Do Language Models Compose Functions? Function Vectors in Large Language Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T11:06:17.663105Z

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Observation 881effc7-d9ee-45dc-b7f4-b27185076dc3 · inbound

Multimodal Function Vectors for Visual Relations cites this paper.

Multimodal Function Vectors for Visual Relations Function Vectors in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T12:44:42.073130Z

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Observation 2b86630c-8d21-4fd5-b300-edac5c412406 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment Function Vectors in Large Language Models

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:15:56.439619Z

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Observation 6440226e-ffef-41ea-b447-0b5b4d12a2b7 · inbound

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion cites this paper.

Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion Function Vectors in Large Language Models

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:46:04.331574Z

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Observation a821eae9-37de-43c3-bd3c-d42bd2175342 · inbound

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data cites this paper.

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data Function Vectors in Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:56:10.953890Z

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Observation fb785e46-83c9-42c8-92dd-f482f57c2fe6 · inbound

When Context Sticks: Studying Interference in In-Context Learning cites this paper.

When Context Sticks: Studying Interference in In-Context Learning Function Vectors in Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:09.495023Z

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Observation 86c7e917-6594-4b13-b2be-626b69f51e8b · inbound

Geometric Deviation as an Unsupervised Pre-Generation Reliability Signal: Probing LLM Representations for Answerability cites this paper.

Geometric Deviation as an Unsupervised Pre-Generation Reliability Signal: Probing LLM Representations for Answerability Function Vectors in Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:55:44.425075Z

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Observation aad57d93-97d9-4df7-8283-4c2c590026b7 · inbound

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior cites this paper.

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior Function Vectors in Large Language Models

Reference 232

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Observation 19972ee6-b98f-4207-a5d0-45e3ff293b0c · inbound

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes cites this paper.

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes Function Vectors in Large Language Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:10.603781Z

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Observation edfbd33d-a331-45d7-82b6-b962eee57710 · inbound

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs cites this paper.

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs Function Vectors in Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:56:05.709806Z

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Observation a6bcb1b7-511a-46c5-ba55-084aa8896a77 · inbound

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs cites this paper.

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs Function Vectors in Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:01:15.345642Z

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Observation d618fa14-3e50-4088-8a18-9f41c9f6bebc · inbound

Tool Calling is Linearly Readable and Steerable in Language Models cites this paper.

Tool Calling is Linearly Readable and Steerable in Language Models Function Vectors in Large Language Models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:52.693628Z

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Observation 21d88f32-3745-4759-a9ae-d604ffe0c506 · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space Function Vectors in Large Language Models

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:22:18.853017Z

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Observation 8f3a941f-f510-49ca-b819-a3a7a999a716 · inbound

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale Function Vectors in Large Language Models

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:07:41.603505Z

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Observation 2694fc6b-b65d-4445-af07-6ec031013913 · inbound

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs cites this paper.

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs Function Vectors in Large Language Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:34:02.875184Z

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Observation ad1d937f-7719-43aa-88ec-cc27cb2cbeca · inbound

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs cites this paper.

Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs Function Vectors in Large Language Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:04:58.143869Z

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Observation cb76a16f-a92e-4d87-90e3-e65009ed7299 · inbound

Self-Improving In-Context Learning cites this paper.

Self-Improving In-Context Learning Function Vectors in Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:56:38.833587Z

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Observation 5d053ab1-b4b4-4f70-aa80-0df6079abad3 · inbound

Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability cites this paper.

Transformer Field Theory: A Response-Theoretic Approach to Mechanistic Interpretability Function Vectors in Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:04:38.236567Z

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Observation 288e073a-da1c-43f5-bf15-c9803a39a2d0 · inbound

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet cites this paper.

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet Function Vectors in Large Language Models

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:53:13.479693Z

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Observation 462a3921-e45c-4ec8-ac0c-c719e8742145 · inbound

Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning cites this paper.

Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning Function Vectors in Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:36:43.902685Z

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Observation 788a4913-48cd-4647-a40f-73de2fc9a4bb · inbound

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations cites this paper.

Recoverable but Not Stationary:Local Linear Structures in Weights and Activations Function Vectors in Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:37.355320Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 312e32d2-8b1e-466e-9a4f-22c152a22b39 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Function Vectors in Large Language Models

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:09:46.407851Z

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Observation 28bb7b48-6c76-462e-940f-c4feb921a582 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Function Vectors in Large Language Models

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:18.230519Z

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Observation da23b906-4f2f-482e-adda-c24df10f3058 · inbound

Generating Special Triangulations with Transformers cites this paper.

Generating Special Triangulations with Transformers Function Vectors in Large Language Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:29:54.930919Z

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Observation 0d6f1515-5481-4255-8fde-c1922b02d8ee · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Function Vectors in Large Language Models

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:30.832027Z

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Observation 8cd593dd-3d86-410d-a289-7e2e79272382 · inbound

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers cites this paper.

First-Order Predictable but Pairwise Fragile: Local Task Adaptation in Trained Transformers Function Vectors in Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T19:55:53.591372Z

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Observation 1d1724d7-c52b-46f7-afa6-2b410edc3460 · inbound

In-Context Collapse in Vision-Language Models and How to Mitigate it? cites this paper.

In-Context Collapse in Vision-Language Models and How to Mitigate it? Function Vectors in Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T15:05:19.368465Z

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Observation 40873664-00ad-4a4d-b145-708dadb950be · inbound

On the Diversity of Analogy Making in Large Language Models cites this paper.

On the Diversity of Analogy Making in Large Language Models Function Vectors in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T23:02:35.590690Z

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Observation 6b5a5a94-d062-4fc1-83f6-48d27875411a · inbound

When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL cites this paper.

When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL Function Vectors in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T12:25:20.562359Z

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Unavailable: canonical work link unavailable.

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