Paper Citation Record · LEDGER

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning

As of 12 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.17170.

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

pith.paper-citation-record.v1
2412.17170 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

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measured 47 of 47 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation 6b2ad7f5-649a-4e37-b4b4-d5586834d88d · outbound

This paper cites A closer look at memorization in deep networks.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning A closer look at memorization in deep networks

Reference 1

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Observation 7e1a01cf-e986-4598-8943-dfda23804ef4 · outbound

This paper cites If influence functions are the answer, then what is the question? Advances in Neural Information Pro- cessing Systems, 35:17953–17967, 2022.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning If influence functions are the answer, then what is the question? Advances in Neural Information Pro- cessing Systems, 35:17953–17967, 2022

Reference 2

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Observation 9fc0517b-0742-40f8-a676-e58ca238b5fb · outbound

This paper cites Relatif: Identifying explanatory training samples via relative influence.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Relatif: Identifying explanatory training samples via relative influence

Reference 3

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Observation ae42d9c1-c7ce-4cb4-99bd-16173d148b67 · outbound

This paper cites On second- order group influence functions for black-box predictions.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning On second- order group influence functions for black-box predictions

Reference 4

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Observation 6a0786b2-d01c-436d-8edd-d9e1a4938ae6 · outbound

This paper cites Influence functions in deep learning are fragile.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Influence functions in deep learning are fragile

Reference 5

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Observation 9a2437ea-6fed-45e4-8819-d299b78c6bfd · outbound

This paper cites Gender shades: Inter- sectional accuracy disparities in commercial gender classifi- cation.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Gender shades: Inter- sectional accuracy disparities in commercial gender classifi- cation

Reference 6

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Observation 700b5bb1-38c7-419b-bbb9-ebe51df58383 · outbound

This paper cites The secret sharer: Evaluating and test- ing unintended memorization in neural networks.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning The secret sharer: Evaluating and test- ing unintended memorization in neural networks

Reference 7

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Observation b3fc525d-d471-4bc1-a494-8dee4d3481a6 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning A Simple Framework for Contrastive Learning of Visual Representations

Reference 8

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Observation 1557a19c-d7bf-4ffb-a8d1-5ebfb89d2ee2 · outbound

This paper cites What is your data worth to gpt? llm-scale data valuation with influ- ence functions, 2024.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning What is your data worth to gpt? llm-scale data valuation with influ- ence functions, 2024

Reference 9

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Observation 6bdef83a-5b00-4f28-8f88-b19ec792beb2 · outbound

This paper cites What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 10

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Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Unresolved cited work

Reference 11

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Observation 5f643358-3d3f-4476-b11b-1cd0fe87ac75 · outbound

This paper cites Does learning require memorization? a short tale about a long tail.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Does learning require memorization? a short tale about a long tail

Reference 12

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Observation 7709d987-fc16-47e2-9de1-0ef1b1795db3 · outbound

This paper cites What neural networks memorize and why: Discovering the long tail via influence estimation.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning What neural networks memorize and why: Discovering the long tail via influence estimation

Reference 13

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Observation 462ae4b5-21b2-4d37-b0e6-f4d89d7ec38f · outbound

This paper cites Data shapley: Equitable valuation of data for machine learning.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Data shapley: Equitable valuation of data for machine learning

Reference 14

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Observation 0007c738-2169-419e-9f8a-f64f1723dc8e · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Bootstrap your own latent-a new approach to self-supervised learning

Reference 15

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Observation ada5202f-8b53-4fa1-a2cf-fd311f025444 · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Bootstrap your own latent: A new approach to self-supervised Learning

Reference 16

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

This paper cites Studying Large Language Model Generalization with Influence Functions.

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

Reference 17

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This paper cites Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs

Reference 18

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This paper cites Training data influence analysis and estimation: a survey.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Training data influence analysis and estimation: a survey

Reference 19

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Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Unresolved cited work

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This paper cites Influence estima- tion in self-supervised learning.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Influence estima- tion in self-supervised learning

Reference 21

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Observation 21424e99-f531-428f-9dd5-13752cfabcd0 · outbound

This paper cites Towards the Generalization of Contrastive Self-Supervised Learning.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Towards the Generalization of Contrastive Self-Supervised Learning

Reference 22

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This paper cites Datamodels: Understand- ing predictions with data and data with predictions.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Datamodels: Understand- ing predictions with data and data with predictions

Reference 23

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This paper cites Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation

Reference 24

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Observation b2af0deb-2cb3-46f5-bab8-fae4e59bcd6f · outbound

This paper cites Understanding black-box predictions via influence functions.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Understanding black-box predictions via influence functions

Reference 25

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This paper cites On the accuracy of influence functions for measuring group effects.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning On the accuracy of influence functions for measuring group effects

Reference 26

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This paper cites Learning multiple layers of features from tiny images.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Learning multiple layers of features from tiny images

Reference 27

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This paper cites Six lectures on linearized neural networks, 2023.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Six lectures on linearized neural networks, 2023

Reference 28

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This paper cites Estimating training data influence by trac- ing gradient descent.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Estimating training data influence by trac- ing gradient descent

Reference 29

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This paper cites Actionable au- diting: Investigating the impact of publicly naming biased performance results of commercial ai products.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Actionable au- diting: Investigating the impact of publicly naming biased performance results of commercial ai products

Reference 30

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This paper cites A value for n-person games.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning A value for n-person games

Reference 31

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This paper cites Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap

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This paper cites Representer point selection for explaining deep neural networks.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Representer point selection for explaining deep neural networks

Reference 33

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This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Barlow Twins: Self-Supervised Learning via Redundancy Reduction

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Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Barlow twins: Self-supervised learning via redundancy reduction

Reference 35

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This paper cites Understanding deep learning (still) requires rethinking generalization.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Understanding deep learning (still) requires rethinking generalization

Reference 36

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This paper cites How mask mat- ters: Towards theoretical understandings of masked autoen- coders.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning How mask mat- ters: Towards theoretical understandings of masked autoen- coders

Reference 37

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This paper cites Rethinking influence func- tions of neural networks in the over-parameterized regime.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Rethinking influence func- tions of neural networks in the over-parameterized regime

Reference 38

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This paper cites Claim 1 (Decomposition of SSL Influence, Part (A) of Prop.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Claim 1 (Decomposition of SSL Influence, Part (A) of Prop

Reference 41

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This paper cites Starting from Issl(x) = −2ε2∥W δ∥2: ∥W δ∥2 = (W δ)T (W δ) = tr((W δ)(W δ)T ) = tr(W δδT W T ) where we used the cyclic property of trace.

Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Starting from Issl(x) = −2ε2∥W δ∥2: ∥W δ∥2 = (W δ)T (W δ) = tr((W δ)(W δ)T ) = tr(W δδT W T ) where we used the cyclic property of trace

Reference 43

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Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Unresolved cited work

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Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning This provides theoretical justification for their use in analyzing self-supervised learning systems

Reference 45

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Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Unresolved cited work

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Pith citing papers

No inbound Pith citation observations are available.