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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2510.03950.

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

pith.paper-citation-record.v1
2510.03950 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:38:29.576877Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

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Outbound references

Observation f4ed8565-5b85-49af-87ea-244467f59098 · outbound

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

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis What neural networks memorize and why: Discovering the long tail via influence estimation

Reference 1

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source=arxiv_source observed=2026-08-04T11:38:23.342920Z digest=sha256:f87b4d4ac0dbc372458864e792aa081d7b7ff14b9c591ad41c1ba9dbeb68d7c6

Observation a80f9ec7-19c9-4c1c-aca5-1a99ce448345 · outbound

This paper cites ``what data benefits my classifier?" enhancing model performance and interpretability through influence-based data selection.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis ``what data benefits my classifier?" enhancing model performance and interpretability through influence-based data selection

Reference 2

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source=arxiv_source observed=2026-08-04T11:38:23.483431Z digest=sha256:a47d77fd17213cd247a7a2dc97536c1fe9d1735b0a8e98a4a2fbe3a441358723

Observation 254e2919-c244-44ea-b0fe-108d093c0f31 · outbound

This paper cites Add-remove-or-relabel: Practitioner-friendly bias mitigation via influential fairness.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Add-remove-or-relabel: Practitioner-friendly bias mitigation via influential fairness

Reference 3

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Observation dc4849e4-c10f-4c5a-8efd-6d0f3db303da · outbound

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

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Understanding black-box predictions via influence functions

Reference 4

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Observation e471a9e6-eacc-475d-bf93-ad7548818454 · outbound

This paper cites The influence curve and its role in robust estimation.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis The influence curve and its role in robust estimation

Reference 5

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source=arxiv_source observed=2026-08-04T11:38:23.870780Z digest=sha256:852430864e0e65a224752ddb5b16c3f201c7f00c244632a990ed0c1392388571

Observation 90d6f39e-5ace-4fb5-8f9d-e7b6159cab72 · outbound

This paper cites Residuals and influence in regression.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Residuals and influence in regression

Reference 6

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Observation 66a0ac5c-3406-44ac-a511-854467dc2592 · outbound

This paper cites Scaling up influence functions.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Scaling up influence functions

Reference 7

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source=arxiv_source observed=2026-08-04T11:38:24.192653Z digest=sha256:c920a1badee99b4d8da504859b5c871ba56e15c2dc08c0ca928d00411929da71

Observation aa181e2c-3206-447f-bd74-0bab48cfcdef · outbound

This paper cites Outlier gradient analysis: Efficiently identifying detrimental training samples for deep learning models.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Outlier gradient analysis: Efficiently identifying detrimental training samples for deep learning models

Reference 8

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Observation fd3d3dd2-ca5d-4c5d-bbc3-d85c3ab25d42 · outbound

This paper cites Data I nf: Efficiently E stimating D ata I nfluence in L o RA -tuned LLM s and D iffusion M odels.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Data I nf: Efficiently E stimating D ata I nfluence in L o RA -tuned LLM s and D iffusion M odels

Reference 9

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Observation c577181f-d5a6-4fc9-8306-715311f8f10e · outbound

This paper cites Data shapley in one training run.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Data shapley in one training run

Reference 10

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Observation 079a3f21-5586-4353-b5cb-c965a7bfbb71 · outbound

This paper cites Second-order stochastic optimization for machine learning in linear time.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Second-order stochastic optimization for machine learning in linear time

Reference 11

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Observation d74b4bb2-1aa1-46f6-adbf-aa3daa3be4a1 · outbound

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

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Representer point selection for explaining deep neural networks

Reference 12

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Observation a0301bf6-1624-4e28-952e-fea148eae764 · outbound

This paper cites Hydra: Hypergradient data relevance analysis for interpreting deep neural networks.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Hydra: Hypergradient data relevance analysis for interpreting deep neural networks

Reference 13

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

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

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

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Observation 7e54ab7e-10b0-42af-8097-6bf1294d4b56 · outbound

This paper cites Estimating training data influence by tracing gradient descent.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Estimating training data influence by tracing gradient descent

Reference 15

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Observation ebd27682-8147-44a5-9620-feb21cfe8f8f · outbound

This paper cites Input similarity from the neural network perspective.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Input similarity from the neural network perspective

Reference 16

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Observation 801940c5-ffe8-44dd-a511-4229c3c8f6e9 · outbound

This paper cites Training Data Attribution via Approximate Unrolled Differentiation.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Training Data Attribution via Approximate Unrolled Differentiation

Reference 17

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Observation 1d20ff0f-2115-4c33-9d1a-4d158a44de34 · outbound

This paper cites Gex: A flexible method for approximating influence via geometric ensemble.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Gex: A flexible method for approximating influence via geometric ensemble

Reference 18

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Observation 0f8429ab-1a66-4dee-8dd9-291b77ad8304 · outbound

This paper cites Training Data Attribution for Diffusion Models.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Training Data Attribution for Diffusion Models

Reference 19

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Observation 20c24f9e-c1aa-4a47-8f3a-de8779f1c9d7 · outbound

This paper cites Make every example count: On the stability and utility of self-influence for learning from noisy nlp datasets.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Make every example count: On the stability and utility of self-influence for learning from noisy nlp datasets

Reference 20

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Observation 46f3ae0e-ce69-46c6-97c7-4ff29726ae96 · outbound

This paper cites Self-influence guided data reweighting for language model pre-training.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Self-influence guided data reweighting for language model pre-training

Reference 21

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source=arxiv_source observed=2026-08-04T11:38:25.850588Z digest=sha256:14cbce23805db1da451e4b404626649f6e7009643220ab98fad513b9acedd673

Observation 5ee6da47-b944-49a1-80fe-b3d9d81ca5ef · outbound

This paper cites Category-aware active domain adaptation.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Category-aware active domain adaptation

Reference 22

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Observation 6e0191fa-b1bf-4426-aa48-9b7b1a97f46c · outbound

This paper cites What is fair? exploring pareto-efficiency for fairness constraint classifiers.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis What is fair? exploring pareto-efficiency for fairness constraint classifiers

Reference 23

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Observation ddb8f411-a0e7-4ade-b89f-a919899d7789 · outbound

This paper cites Minimax pareto fairness: A multi objective perspective.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Minimax pareto fairness: A multi objective perspective

Reference 24

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Observation 1002e7d3-4e65-465a-a865-03a8977c8333 · outbound

This paper cites Pareto frontiers in deep feature learning: Data, compute, width, and luck.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Pareto frontiers in deep feature learning: Data, compute, width, and luck

Reference 25

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Observation 24abc44e-1435-4509-be9e-18f9c9d38916 · outbound

This paper cites Pareto multi-task learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Pareto multi-task learning

Reference 26

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Observation 55b94c9a-cbff-4548-ae46-3cb68e9eaa33 · outbound

This paper cites Divide and conquer: Provably unveiling the pareto front with multi-objective reinforcement learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Divide and conquer: Provably unveiling the pareto front with multi-objective reinforcement learning

Reference 27

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Observation 5157bbf6-f7fd-443b-81ed-44bc483d8d83 · outbound

This paper cites Distributional pareto-optimal multi-objective reinforcement learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Distributional pareto-optimal multi-objective reinforcement learning

Reference 28

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Observation f64bce77-7d7f-4d72-8b2a-7e0552bc138c · outbound

This paper cites Neural architecture search: A survey.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Neural architecture search: A survey

Reference 29

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Observation b5e1f44e-e8c3-461e-899a-bf1344b81ab8 · outbound

This paper cites Datamodels: Predicting Predictions from Training Data.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Datamodels: Predicting Predictions from Training Data

Reference 30

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Observation 88632dba-b05e-43f7-b24c-83757c728d73 · outbound

This paper cites Tendulkar, Rishabh K Iyer, and Abir De.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Tendulkar, Rishabh K Iyer, and Abir De

Reference 31

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Observation 8413d9ab-5fb7-41ae-aa0e-d51f7060fd4e · outbound

This paper cites Deep learning on a data diet: Finding important examples early in training.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Deep learning on a data diet: Finding important examples early in training

Reference 32

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Observation 8a024f62-4abd-489d-8643-900b45d65de6 · outbound

This paper cites Retrieve: Coreset selection for efficient and robust semi-supervised learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Retrieve: Coreset selection for efficient and robust semi-supervised learning

Reference 33

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Observation 5044e967-7fb1-4fff-8b31-c0d88f2d94f7 · outbound

This paper cites Dataset pruning: Reducing training data by examining generalization influence.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Dataset pruning: Reducing training data by examining generalization influence

Reference 34

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Observation 40ef8577-f7c2-4758-a4de-49f5665a876c · outbound

This paper cites Data pruning via moving-one-sample-out.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Data pruning via moving-one-sample-out

Reference 35

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Observation 1df265e8-d71a-448d-8753-8e0d11d84500 · outbound

This paper cites Resolving training biases via influence-based data relabeling.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Resolving training biases via influence-based data relabeling

Reference 36

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source=arxiv_source observed=2026-08-04T11:38:27.486641Z digest=sha256:464b75d7b323c7bd3cad70ee67bb0d59fafbe0865d510c2e97db604b391261ee

Observation 6003eda6-cbb7-4887-8a2b-4bd29fbc91fe · outbound

This paper cites Fair clustering using antidote data.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Fair clustering using antidote data

Reference 37

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source=arxiv_source observed=2026-08-04T11:38:27.569282Z digest=sha256:37b3667f3880791987373181e9dcbde05bc2201037c7b79bd4d58b9bc96c2e43

Observation 6f77819b-c5a2-4237-a6d4-ddeac09d287b · outbound

This paper cites Deeper Understanding of Black-box Predictions via Generalized Influence Functions.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Deeper Understanding of Black-box Predictions via Generalized Influence Functions

Reference 38

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Observation 6997770c-8702-4e97-b391-a21b8b21693b · outbound

This paper cites Active learning with statistical models.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Active learning with statistical models

Reference 39

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Observation 08176d14-9221-4bec-830d-e26fd1191340 · outbound

This paper cites Influence selection for active learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Influence selection for active learning

Reference 40

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source=arxiv_source observed=2026-08-04T11:38:27.934024Z digest=sha256:bd9b701922c0d66b0ae513ede0639cb6d0e96fd6071acc47060a45bf85a62952

Observation cfa641cc-7adf-4d07-ab50-f11294a934cd · outbound

This paper cites How to measure uncertainty in uncertainty sampling for active learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis How to measure uncertainty in uncertainty sampling for active learning

Reference 41

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Observation 5cf57715-cc93-4a83-8b00-3d27052fff29 · outbound

This paper cites Submodularity in data subset selection and active learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Submodularity in data subset selection and active learning

Reference 42

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Observation ca2af89e-967a-409a-b6cb-5bd06bb8dea5 · outbound

This paper cites Influence functionals for time series.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Influence functionals for time series

Reference 43

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Observation 368b9708-d7ee-4023-80da-f21af93892eb · outbound

This paper cites Explaining black box predictions and unveiling data artifacts through influence functions.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Explaining black box predictions and unveiling data artifacts through influence functions

Reference 44

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Observation 1cc65830-941a-4d3e-b857-f77a07453062 · outbound

This paper cites If influence functions are the answer, then what is the question? Advances in Neural Information Processing Systems, 2022.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis If influence functions are the answer, then what is the question? Advances in Neural Information Processing Systems, 2022

Reference 45

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Observation 2eea6f7f-d9df-4b3f-a97b-620e79d4dc96 · outbound

This paper cites Influence F unctions in D eep L earning A re F ragile.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Influence F unctions in D eep L earning A re F ragile

Reference 46

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source=arxiv_source observed=2026-08-04T11:38:28.287855Z digest=sha256:cb31eb7118c0c22360f9f3855eb6114c066edb7a88d203d538c8bad0bc663f56

Observation f6109eb7-f9fb-4f9b-8946-68790dfbe11f · outbound

This paper cites Revisiting the fragility of influence functions.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Revisiting the fragility of influence functions

Reference 47

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source=arxiv_source observed=2026-08-04T11:38:28.377790Z digest=sha256:b4a1ba808a2fbdcf4d6922fa8bb5b7dbf4867bfdb85418f25ab4ecea09484abb

Observation 317f834f-ff9d-42ee-82db-119dea2d08be · outbound

This paper cites Theoretical and practical perspectives on what influence functions do.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Theoretical and practical perspectives on what influence functions do

Reference 48

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source=arxiv_source observed=2026-08-04T11:38:28.485950Z digest=sha256:c5f5cd44a9fdf178879044697817bc259e21aecd27c5d66b51758324944189d6

Observation 109eba7b-4534-49f4-8163-1b0af83e12c0 · outbound

This paper cites Visualizing the pareto frontier.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Visualizing the pareto frontier

Reference 49

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source=arxiv_source observed=2026-08-04T11:38:28.553540Z digest=sha256:59ac27fb00a9fda02d3988bff93aa164a312a1589f4d338dbdd81f2c7cc3e539

Observation 674c3bb3-2243-492c-8563-98bfba995569 · outbound

This paper cites Linear programming.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Linear programming

Reference 50

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source=arxiv_source observed=2026-08-04T11:38:28.659263Z digest=sha256:b44cfb96d3c7cd024938cbde5d38df2ef64e69c4d2c68aa5aa0224bc4147e172

Observation b701005d-63b1-4141-8b3c-90715b1b69a8 · outbound

This paper cites Genetic algorithms.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Genetic algorithms

Reference 51

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source=arxiv_source observed=2026-08-04T11:38:28.757804Z digest=sha256:4b1e4dd13fb3ff66d65887d761df628dbdbff9bf614a45cbe9ca33453a419f0b

Observation b41dd11f-a9c4-44e6-9dc9-17db5ac5ab08 · outbound

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

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Learning multiple layers of features from tiny images

Reference 52

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source=arxiv_source observed=2026-08-04T11:38:28.885746Z digest=sha256:7fb2bae72bec339fa832ccf5b1ab6fedd7ca36468b356e3601f725e8685e935a

Observation 16b30e1c-d0f9-4f6b-9d6d-c843fa8a7d77 · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis An analysis of single-layer networks in unsupervised feature learning

Reference 53

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source=arxiv_source observed=2026-08-04T11:38:28.983885Z digest=sha256:693c263d65c398e824950d7b6d89ff7c4dbd260e9c05febde5451d9de1b278b6

Observation 4a94a2e9-7b3b-4fcd-9836-ee78593fb66b · outbound

This paper cites Carer: Contextualized affect representations for emotion recognition.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Carer: Contextualized affect representations for emotion recognition

Reference 54

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source=arxiv_source observed=2026-08-04T11:38:29.075115Z digest=sha256:f49527a104ade37f908d111291be5202826ce7ef28d06cb02ac62b962ec74c56

Observation 98662595-47a3-4102-adf3-e58c263aad0c · outbound

This paper cites Character-level convolutional networks for text classification.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Character-level convolutional networks for text classification

Reference 55

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source=arxiv_source observed=2026-08-04T11:38:29.181744Z digest=sha256:e4244d8fbf7f2db4552f02041f8f257db693f66f45051d48efac12c7da0f1558

Observation bfe16a75-5ddd-4cc2-93ed-b32fa3f809c9 · outbound

This paper cites Principal component analysis.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Principal component analysis

Reference 56

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source=arxiv_source observed=2026-08-04T11:38:29.315195Z digest=sha256:a75ad6f0f2f84404aa41555a65edd97ae051bb4869061e10396025cbc320f668

Observation f194947b-363c-4895-bb10-5f3a148e37df · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 57

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source=arxiv_source observed=2026-08-04T11:38:29.436506Z digest=sha256:07e8a927d19f7c567b8477663a79b3cc6f604136fb3d8ec0048d351442c10792

Observation 896cee02-567f-4ff8-aca2-98ec11c77a44 · outbound

This paper cites Deep residual learning for image recognition.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Deep residual learning for image recognition

Reference 58

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source=arxiv_source observed=2026-08-04T11:38:29.576877Z digest=sha256:8eacf5dc223d31223f627b7e1cbb29f9ca2f39268b9063883425e70c100110e7

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