Studying Large Language Model Generalization with Influence Functions | Paper Citation Record

Observation 907f51f9-8378-491b-b905-a7de7ae64d8e · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Studying Large Language Model Generalization with Influence Functions

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:56:23.645838Z

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Observation 91daab9f-37df-4bfc-a7b4-fd33b71f4ec2 · inbound

Dissecting Representation Misalignment in Contrastive Learning via Influence Function cites this paper.

Dissecting Representation Misalignment in Contrastive Learning via Influence Function Studying Large Language Model Generalization with Influence Functions

Reference 5

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Observation 020c4696-1f56-416f-8c7e-0674163428d2 · inbound

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution cites this paper.

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution Studying Large Language Model Generalization with Influence Functions

Reference 18

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Towards Data Governance of Frontier AI Models cites this paper.

Towards Data Governance of Frontier AI Models Studying Large Language Model Generalization with Influence Functions

Reference 45

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Observation ea86113b-bd20-4c93-a873-a7c59ccdd80f · inbound

DMin: Scalable Training Data Influence Estimation for Diffusion Models cites this paper.

DMin: Scalable Training Data Influence Estimation for Diffusion Models Studying Large Language Model Generalization with Influence Functions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:12:41.496993Z

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Observation 8740dada-cbad-4b4f-a8c7-f6c96c459d0d · inbound

Capturing the Temporal Dependence of Training Data Influence cites this paper.

Capturing the Temporal Dependence of Training Data Influence Studying Large Language Model Generalization with Influence Functions

Reference 29

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Observation 59f6a5be-fa66-41eb-951e-4fc8ba898fb5 · inbound

Methods to Assess the UK Government's Current Role as a Data Provider for AI cites this paper.

Methods to Assess the UK Government's Current Role as a Data Provider for AI Studying Large Language Model Generalization with Influence Functions

Reference 2023

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Observation d2e305da-8679-452e-b4ee-72584c295223 · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation Studying Large Language Model Generalization with Influence Functions

Reference 18

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Observation 83df39bf-de50-4468-b06d-7100d65e852e · inbound

Correcting Large Language Model Behavior via Influence Function cites this paper.

Correcting Large Language Model Behavior via Influence Function Studying Large Language Model Generalization with Influence Functions

Reference 11

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Observation 9baf974e-67c7-44b1-93b1-f6c36735736f · inbound

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning cites this paper.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Studying Large Language Model Generalization with Influence Functions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:21.443240Z

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Observation c00892aa-7356-4fa3-87cb-b3c71cc49d49 · inbound

Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability cites this paper.

Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability Studying Large Language Model Generalization with Influence Functions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T22:08:48.945695Z

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Observation 1a74ded9-6b21-4a29-b9a2-cb912f8cbea5 · inbound

Diagnosing our datasets: How does my language model learn clinical information? cites this paper.

Diagnosing our datasets: How does my language model learn clinical information? Studying Large Language Model Generalization with Influence Functions

Reference 17

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Observation 1cb1437b-845f-4e64-be33-1077ce8d3eca · inbound

Laplace Sample Information: Data Informativeness Through a Bayesian Lens cites this paper.

Laplace Sample Information: Data Informativeness Through a Bayesian Lens Studying Large Language Model Generalization with Influence Functions

Reference 29

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Observation cbe21c9d-e371-4398-84ee-89532364b2df · inbound

Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs cites this paper.

Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs Studying Large Language Model Generalization with Influence Functions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:21.130351Z

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Observation 061957a3-0636-4ec5-ac82-4d8f0b8cfca2 · inbound

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions cites this paper.

Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Studying Large Language Model Generalization with Influence Functions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:46.590180Z

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Observation 146ea4c5-a0c4-4d90-b2d7-f6582e82edcb · inbound

Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution cites this paper.

Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution Studying Large Language Model Generalization with Influence Functions

Reference 10

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Observation 7dcfebef-f3d0-4068-929c-c764e7efe60b · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation Studying Large Language Model Generalization with Influence Functions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:13.428172Z

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Observation 9ce7f253-aa27-4ba4-9086-f4463146cef8 · inbound

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It cites this paper.

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It Studying Large Language Model Generalization with Influence Functions

Reference 46

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Observation 69f6da61-1bc5-4063-8688-6308d4602813 · inbound

Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems cites this paper.

Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems Studying Large Language Model Generalization with Influence Functions

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T12:17:48.173392Z

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Observation 49668fd1-1a9f-4bed-8f6f-dfe34b11ccdc · inbound

Data Heterogeneity Modeling for Trustworthy Machine Learning cites this paper.

Data Heterogeneity Modeling for Trustworthy Machine Learning Studying Large Language Model Generalization with Influence Functions

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:35.947953Z

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Observation df047cac-53ed-42db-a623-d045f48c62aa · inbound

On Support Samples of Next Word Prediction cites this paper.

On Support Samples of Next Word Prediction Studying Large Language Model Generalization with Influence Functions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:14.978972Z

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Observation 6b14c412-ea4c-4a23-85aa-679a0ea0a45b · inbound

On Support Samples of Next Word Prediction cites this paper.

On Support Samples of Next Word Prediction Studying Large Language Model Generalization with Influence Functions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:14.984371Z

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Observation c72c0a66-3748-4fb3-b5e9-3db3bf864d17 · inbound

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety Studying Large Language Model Generalization with Influence Functions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:24:26.357474Z

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Observation 7578e1ae-b4d8-43fb-b052-41bfdfc86709 · inbound

Rescaled Influence Functions: Accurate Data Attribution in High Dimension cites this paper.

Rescaled Influence Functions: Accurate Data Attribution in High Dimension Studying Large Language Model Generalization with Influence Functions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:23.863851Z

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Observation e1447201-5457-404b-b2ef-2268aea08ca2 · inbound

Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models? cites this paper.

Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models? Studying Large Language Model Generalization with Influence Functions

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:43.618164Z

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Observation bbc08041-745c-46df-87fc-e8f3aa7f91b3 · inbound

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills cites this paper.

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills Studying Large Language Model Generalization with Influence Functions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:36.870653Z

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Observation 7309861d-5495-4868-847b-d9a5f7b77729 · inbound

Because we have LLMs, we Can and Should Pursue Agentic Interpretability cites this paper.

Because we have LLMs, we Can and Should Pursue Agentic Interpretability Studying Large Language Model Generalization with Influence Functions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:20.807887Z

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Observation 9fa68277-1690-4de0-9219-bb313ab92175 · inbound

Counterfactual Influence as a Distributional Quantity cites this paper.

Counterfactual Influence as a Distributional Quantity Studying Large Language Model Generalization with Influence Functions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:53:57.246531Z

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Observation 94c3acd5-d761-4e6b-9598-f18da8e52e00 · inbound

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language Studying Large Language Model Generalization with Influence Functions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:37.222530Z

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Observation 0b01ad6c-1553-4f94-aeaf-35174d70be89 · inbound

TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs cites this paper.

TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs Studying Large Language Model Generalization with Influence Functions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:10.368350Z

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Observation 7e099d84-6847-4281-9f99-cf070177570c · inbound

KAIROS: Scalable Model-Agnostic Data Valuation cites this paper.

KAIROS: Scalable Model-Agnostic Data Valuation Studying Large Language Model Generalization with Influence Functions

Reference 20

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Observation 726d323e-81bd-4b9c-8f6c-e86c750f82f9 · inbound

TokenShapley: Token Level Context Attribution with Shapley Value cites this paper.

TokenShapley: Token Level Context Attribution with Shapley Value Studying Large Language Model Generalization with Influence Functions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:53:18.215683Z

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Observation f5dfbf7d-b2f5-4cb4-9afb-be32c94f3057 · inbound

DICE: Data Influence Cascade in Decentralized Learning cites this paper.

DICE: Data Influence Cascade in Decentralized Learning Studying Large Language Model Generalization with Influence Functions

Reference 1960

Resolution: unresolved; no resolver link, observed 2026-08-06T19:00:01.082238Z

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Observation 109de9b3-f76f-4686-b154-20ab34936066 · inbound

Newfluence: Boosting Model interpretability and Understanding in High Dimensions cites this paper.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions Studying Large Language Model Generalization with Influence Functions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:25.519711Z

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Observation b0878fca-1a38-480c-89c8-7f52b10465a4 · inbound

Influence Functions for Preference Dataset Pruning cites this paper.

Influence Functions for Preference Dataset Pruning Studying Large Language Model Generalization with Influence Functions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.428168Z

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Observation 4d447323-e630-4922-bd9e-c3b3b2780e30 · inbound

Better Training Data Attribution via Better Inverse Hessian-Vector Products cites this paper.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Studying Large Language Model Generalization with Influence Functions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:42.380502Z

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Observation a1fc043a-bd99-45be-8a34-0bcee996ab1a · inbound

MIMIC: Multimodal Inversion for Model Interpretation and Conceptualization cites this paper.

MIMIC: Multimodal Inversion for Model Interpretation and Conceptualization Studying Large Language Model Generalization with Influence Functions

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:46:54.941033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6ca25a10-b720-4066-ace5-ea154ca1f69c · inbound

Understanding Data Influence with Differential Approximation cites this paper.

Understanding Data Influence with Differential Approximation Studying Large Language Model Generalization with Influence Functions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T18:28:49.342141Z

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Observation f57b6c4b-214b-4eb7-9679-6dedf565ba0d · inbound

Memorization $\neq$ Understanding: Do Large Language Models Have the Ability of Scenario Cognition? cites this paper.

Memorization $\neq$ Understanding: Do Large Language Models Have the Ability of Scenario Cognition? Studying Large Language Model Generalization with Influence Functions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:53:21.244548Z

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Observation 2a2f9a15-8168-4b59-ab8e-2531fb9643a5 · inbound

Uncovering Scaling Laws for Large Language Models via Inverse Problems cites this paper.

Uncovering Scaling Laws for Large Language Models via Inverse Problems Studying Large Language Model Generalization with Influence Functions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T21:35:00.932355Z

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Observation 36b00b0c-1075-41ad-87e5-f9921919ef4f · inbound

Feature Identification via the Empirical NTK cites this paper.

Feature Identification via the Empirical NTK Studying Large Language Model Generalization with Influence Functions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:01:16.958738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 144c4e2b-0255-4528-ae7f-72f82ca5e96c · inbound

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis cites this paper.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Studying Large Language Model Generalization with Influence Functions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T11:38:25.240765Z

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Observation b40012a6-ecab-4d0f-8678-66895a333cfe · inbound

Influence Dynamics and Stagewise Data Attribution cites this paper.

Influence Dynamics and Stagewise Data Attribution Studying Large Language Model Generalization with Influence Functions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:13.724700Z

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Observation 461b36d8-226a-4d1b-abb1-df2ce0f1774d · inbound

LLM generation novelty through the lens of semantic similarity cites this paper.

LLM generation novelty through the lens of semantic similarity Studying Large Language Model Generalization with Influence Functions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:04.219818Z

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Observation 1a25b215-16af-485a-a89d-ae9596289537 · inbound

When unlearning is free: leveraging low influence points to reduce computational costs cites this paper.

When unlearning is free: leveraging low influence points to reduce computational costs Studying Large Language Model Generalization with Influence Functions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T18:28:32.058194Z

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Observation 73776642-3891-48c7-bdf4-dffb696a0115 · inbound

On the Accuracy of Newton Step and Influence Function Data Attributions cites this paper.

On the Accuracy of Newton Step and Influence Function Data Attributions Studying Large Language Model Generalization with Influence Functions

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:50:26.350620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f0314c37-590e-49a7-b7ec-7d7c73463e81 · inbound

AfroScope: A Framework for Studying the Linguistic Landscape of Africa cites this paper.

AfroScope: A Framework for Studying the Linguistic Landscape of Africa Studying Large Language Model Generalization with Influence Functions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T09:37:05.505371Z

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Observation 119acd68-ba78-4d70-bd38-f79d388ef99f · inbound

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment cites this paper.

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment Studying Large Language Model Generalization with Influence Functions

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:27:52.443837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f255ddc5-c1cc-48bb-a69c-96e558101c25 · inbound

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment cites this paper.

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment Studying Large Language Model Generalization with Influence Functions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T09:22:43.735675Z

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Observation 5c8fade5-6a53-4363-9df6-80b59c18130c · inbound

In-Run Data Shapley for Adam Optimizer cites this paper.

In-Run Data Shapley for Adam Optimizer Studying Large Language Model Generalization with Influence Functions

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T06:10:19.887693Z

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Observation 21ba0767-7e07-4103-a9d1-11f1e134ecaa · inbound

On the Expressive Power of Permutation-Equivariant Weight-Space Networks cites this paper.

On the Expressive Power of Permutation-Equivariant Weight-Space Networks Studying Large Language Model Generalization with Influence Functions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T05:57:08.014934Z

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Observation 4c4cad68-0de3-4faf-8655-5c9ffd6ca436 · inbound

Efficient Estimation of Kernel Surrogate Models for Task Attribution cites this paper.

Efficient Estimation of Kernel Surrogate Models for Task Attribution Studying Large Language Model Generalization with Influence Functions

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:00:44.846668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1860cca-aa70-426b-a966-0ef0789782af · inbound

A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.

A Human-Centric Framework for Data Attribution in Large Language Models Studying Large Language Model Generalization with Influence Functions

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:37:10.629784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e65fe4d7-18de-4545-9212-5be2a0240f38 · inbound

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) cites this paper.

A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) Studying Large Language Model Generalization with Influence Functions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T23:11:00.867604Z

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Observation b2f7ed1c-265c-4d44-8194-d7c26b86326f · inbound

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning cites this paper.

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning Studying Large Language Model Generalization with Influence Functions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T21:05:25.029837Z

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Observation 77add5b3-c671-43eb-ab48-6bff28bf9f0d · inbound

What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies cites this paper.

What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies Studying Large Language Model Generalization with Influence Functions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:53.591736Z

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Observation 42679e74-7f89-4e48-8b09-af6661f03e59 · inbound

Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning cites this paper.

Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning Studying Large Language Model Generalization with Influence Functions

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:25:55.335456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35c79a4e-9ab0-428e-b783-def9281c3552 · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation Studying Large Language Model Generalization with Influence Functions

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:48:01.066067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 251e482d-2f7c-4a2b-b560-c4b4b9c0e18e · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation Studying Large Language Model Generalization with Influence Functions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:08.654381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc49def-3465-4fd0-afb5-7997f23f619e · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Studying Large Language Model Generalization with Influence Functions

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:19.328627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f0b62fd-2d9e-4be6-9e7f-1da2834146c1 · inbound

Mechanistic Anomaly Detection via Functional Attribution cites this paper.

Mechanistic Anomaly Detection via Functional Attribution Studying Large Language Model Generalization with Influence Functions

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:10.486359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42814187-4cbf-4d64-8025-70e3813c07e2 · inbound

Convergent Evolution: How Different Language Models Learn Similar Number Representations cites this paper.

Convergent Evolution: How Different Language Models Learn Similar Number Representations Studying Large Language Model Generalization with Influence Functions

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:49:48.442161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7bf3f222-d7dc-44f2-9bf4-3ffd8e5c2b98 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Studying Large Language Model Generalization with Influence Functions

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:19:27.673435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f4231ab-5ecc-4ee7-8834-30d0d4169929 · inbound

Interaction-Aware Influence Functions for Group Attribution cites this paper.

Interaction-Aware Influence Functions for Group Attribution Studying Large Language Model Generalization with Influence Functions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:43:43.360712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7324d252-a00d-4307-a06b-4c28102f8bce · inbound

How Faithful Is Trajectory-Based Data Attribution? Error Sources, Remedies, and Practical Guidelines cites this paper.

How Faithful Is Trajectory-Based Data Attribution? Error Sources, Remedies, and Practical Guidelines Studying Large Language Model Generalization with Influence Functions

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:13:50.470162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7567565e-104e-4dce-8a6d-6a59d62c8eb5 · inbound

CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning cites this paper.

CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning Studying Large Language Model Generalization with Influence Functions

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:04:44.873680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0638fdc5-082a-4b68-9a47-b9c38ccbfeac · inbound

Detectability in Diversity: Improved Canary Crafting for Privacy Auditing in One Run cites this paper.

Detectability in Diversity: Improved Canary Crafting for Privacy Auditing in One Run Studying Large Language Model Generalization with Influence Functions

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:49.117305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2519027c-809a-4fff-ba3f-feed1a59a9fb · inbound

Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.

Consistency Training while Mitigating Obfuscation via Rate Matching Studying Large Language Model Generalization with Influence Functions

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T14:32:18.176891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9706c268-43e1-4762-a74f-d9e4eb543234 · inbound

Validity Threats for Foundation Model Research cites this paper.

Validity Threats for Foundation Model Research Studying Large Language Model Generalization with Influence Functions

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:36:44.943833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff0ad0d1-fccc-48b7-9783-2bc621e43e80 · inbound

Finding Most Influential Sets cites this paper.

Finding Most Influential Sets Studying Large Language Model Generalization with Influence Functions

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-27T23:51:24.663345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb8ef032-af8c-4b7c-b8a3-5600a3565e00 · inbound

DRIFT: Refining Instruction Data via On-Policy Data Attribution cites this paper.

DRIFT: Refining Instruction Data via On-Policy Data Attribution Studying Large Language Model Generalization with Influence Functions

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:18:54.692473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 65369a20-54c4-48a7-8375-1dc1f5db44fb · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior Studying Large Language Model Generalization with Influence Functions

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:49:14.867123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cc89fdbf-8a49-4119-bb45-d255bed80808 · inbound

Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies cites this paper.

Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies Studying Large Language Model Generalization with Influence Functions

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:27.964291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5eec9d8b-4df0-4734-be42-cf65b50e9f50 · inbound

Prototype Language Models cites this paper.

Prototype Language Models Studying Large Language Model Generalization with Influence Functions

Reference 150

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:08.147764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f52310e8-57e0-4645-a9f5-563a4ddfab70 · inbound

What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music cites this paper.

What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music Studying Large Language Model Generalization with Influence Functions

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:36:43.329337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10773f3d-cb38-4893-a2ec-fd3f7d4faa33 · inbound

Domain-Aware Scaling Laws Uncover Data Synergy cites this paper.

Domain-Aware Scaling Laws Uncover Data Synergy Studying Large Language Model Generalization with Influence Functions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T07:24:27.255815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dade7ea4-cb15-4719-b1f1-81273206fcd5 · inbound

Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions cites this paper.

Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions Studying Large Language Model Generalization with Influence Functions

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T02:34:08.867625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5838fa0b-fa07-42dd-8f97-28d6d0efeb9d · inbound

Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions cites this paper.

Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions Studying Large Language Model Generalization with Influence Functions

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T01:45:18.619376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d40b8f-0378-406f-91dc-8bc758ff267d · inbound

Dataset Distillation by Influence Matching cites this paper.

Dataset Distillation by Influence Matching Studying Large Language Model Generalization with Influence Functions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T19:49:23.021717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9123bd34-86c1-4c30-bb0b-73271908fe49 · inbound

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs cites this paper.

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs Studying Large Language Model Generalization with Influence Functions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T13:27:16.297401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a51c1daf-85fe-424a-ae3b-a1fd9b17f603 · inbound

Emergent Misalignment Recruits a Pre-existing Persona Subspace cites this paper.

Emergent Misalignment Recruits a Pre-existing Persona Subspace Studying Large Language Model Generalization with Influence Functions

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-01T07:46:16.947534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b90f0c8-2afe-4912-8721-ef8bb930d8f2 · inbound

Scaling Inherently Interpretable Language Models cites this paper.

Scaling Inherently Interpretable Language Models Studying Large Language Model Generalization with Influence Functions

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-11T00:36:58.832638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc29064-bb8f-4b9b-ac7c-b4a60b41a2e9 · inbound

Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators cites this paper.

Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators Studying Large Language Model Generalization with Influence Functions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T00:35:48.147487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers