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Paper Citation Record · LEDGER

Influence Dynamics and Stagewise Data Attribution

As of 12 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 3 inbound Pith citation observations for arXiv:2510.12071.

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

pith.paper-citation-record.v1
2510.12071 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:05:18.093533Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:49:54.421270Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T11:36:55.218721Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved55
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43782384-81b4-44ec-9c4d-d284179bcd6c · outbound

This paper cites write newline.

Influence Dynamics and Stagewise Data Attribution write newline

Reference 1

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Observation 8d35d0e6-cd45-4245-b668-47f2afbee953 · outbound

This paper cites The loss kernel: A geometric probe for deep learning interpretability, 2025.

Influence Dynamics and Stagewise Data Attribution The loss kernel: A geometric probe for deep learning interpretability, 2025

Reference 2

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Observation 0804cecb-7f4d-4bb1-93da-48aa02852b29 · outbound

This paper cites Consideration on the learning efficiency of multiple-layered neural networks with linear units.

Influence Dynamics and Stagewise Data Attribution Consideration on the learning efficiency of multiple-layered neural networks with linear units

Reference 3

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Observation 88dc41ac-8611-46cd-8444-7f6bba9c278a · outbound

This paper cites If Influence Functions are the Answer , Then What is the Question ? 2022.

Influence Dynamics and Stagewise Data Attribution If Influence Functions are the Answer , Then What is the Question ? 2022

Reference 4

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Observation 44630bc0-58bb-4be5-9882-9d7fb81d1f34 · outbound

This paper cites an unresolved cited work.

Influence Dynamics and Stagewise Data Attribution Unresolved cited work

Reference 5

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Observation e08f7173-d61f-4c3a-b2fc-110890c4dc95 · outbound

This paper cites Structural Inference : Studying Small Language Models with Susceptibilities , April 2025.

Influence Dynamics and Stagewise Data Attribution Structural Inference : Studying Small Language Models with Susceptibilities , April 2025

Reference 6

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Observation 6e8ea588-968d-4976-b40f-f73a1b1a575d · outbound

This paper cites Curriculum learning.

Influence Dynamics and Stagewise Data Attribution Curriculum learning

Reference 7

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Observation a48c391f-4a2c-49b4-8747-be004763e0fc · outbound

This paper cites Pythia: a suite for analyzing large language models across training and scaling.

Influence Dynamics and Stagewise Data Attribution Pythia: a suite for analyzing large language models across training and scaling

Reference 8

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Observation 5dbc91a5-def6-44ef-acbe-e380b2a4c86a · outbound

This paper cites Dynamics of Transient Structure in In-Context Linear Regression Transformers.

Influence Dynamics and Stagewise Data Attribution Dynamics of Transient Structure in In-Context Linear Regression Transformers

Reference 9

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Observation 810bcffc-ea8a-4668-9f6b-08c6d59443e3 · outbound

This paper cites HyDRA : Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.

Influence Dynamics and Stagewise Data Attribution HyDRA : Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks

Reference 10

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Observation baffe498-a4df-475a-94e3-9658ca4ba200 · outbound

This paper cites Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition.

Influence Dynamics and Stagewise Data Attribution Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

Reference 11

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Observation a69a3794-98da-4fae-9e8d-0ae0759894c7 · outbound

This paper cites Training Data Attribution (TDA): Examining Its Adoption & Use Cases.

Influence Dynamics and Stagewise Data Attribution Training Data Attribution (TDA): Examining Its Adoption & Use Cases

Reference 12

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Observation e2c564ed-4b05-43ff-9c7a-b9ef8e52a1bc · outbound

This paper cites Dennis Cook.

Influence Dynamics and Stagewise Data Attribution Dennis Cook

Reference 13

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Observation a08005c1-1cb7-4b7f-be42-f9fb10bf8a45 · outbound

This paper cites Characterizations of an empirical influence function for detecting influential cases in regression.

Influence Dynamics and Stagewise Data Attribution Characterizations of an empirical influence function for detecting influential cases in regression

Reference 14

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Observation af4f4661-66b1-4240-9aa3-c65a747a8aed · outbound

This paper cites Dennis Cook and Sanford Weisberg.

Influence Dynamics and Stagewise Data Attribution Dennis Cook and Sanford Weisberg

Reference 15

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Observation 86b539b1-8519-44b5-b4e5-405ce1c1fe4e · outbound

This paper cites Multidimensional scaling.

Influence Dynamics and Stagewise Data Attribution Multidimensional scaling

Reference 16

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Observation 9518d7c1-f1f5-4067-ba95-8f009822df84 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Influence Dynamics and Stagewise Data Attribution The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 17

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Observation 09763e35-0550-4777-bee2-31e809b1e494 · outbound

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Influence Dynamics and Stagewise Data Attribution Unresolved cited work

Reference 18

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Observation 2bf84c9e-13ee-4abd-b312-9288dc40d30e · outbound

This paper cites Automated curriculum learning for neural networks.

Influence Dynamics and Stagewise Data Attribution Automated curriculum learning for neural networks

Reference 19

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

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

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

Reference 20

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Observation 1fc30f9f-1fb6-49cd-be3c-0fa47ab12d68 · outbound

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Influence Dynamics and Stagewise Data Attribution Learning distributed representations of concepts

Reference 21

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Observation 28901f34-1c93-4b70-a910-31d8dd7af26e · outbound

This paper cites Emergence of Computational Structure in a Neural Network Physics Simulator.

Influence Dynamics and Stagewise Data Attribution Emergence of Computational Structure in a Neural Network Physics Simulator

Reference 22

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Observation fc4ca220-8ecc-4f70-96b9-d18021a425e3 · outbound

This paper cites Loss Landscape Degeneracy and Stagewise Development in Transformers.

Influence Dynamics and Stagewise Data Attribution Loss Landscape Degeneracy and Stagewise Development in Transformers

Reference 23

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Observation 094c1e3d-92e6-4a5f-b7da-b40b5dbccf34 · outbound

This paper cites Loss landscape degeneracy and stagewise development in transformers.

Influence Dynamics and Stagewise Data Attribution Loss landscape degeneracy and stagewise development in transformers

Reference 24

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Observation c05f3b02-781a-4c8d-b937-b7883e79b4ac · outbound

This paper cites The growth of logical thinking from childhood to adolescence: An essay on the construction of formal operational structures.

Influence Dynamics and Stagewise Data Attribution The growth of logical thinking from childhood to adolescence: An essay on the construction of formal operational structures

Reference 25

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Observation 84059201-ed5f-410b-b46b-efb0ffbef8a0 · outbound

This paper cites Semantic and conceptual development: An ontological perspective.

Influence Dynamics and Stagewise Data Attribution Semantic and conceptual development: An ontological perspective

Reference 26

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Observation 683381e6-0376-4a69-ad10-3e586deb8ae9 · outbound

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

Influence Dynamics and Stagewise Data Attribution Understanding Black-box Predictions via Influence Functions

Reference 27

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Observation fe5cea41-0803-4efd-93f7-1c735585c42d · outbound

This paper cites Bayesian influence functions for hessian-free data attribution, 2025.

Influence Dynamics and Stagewise Data Attribution Bayesian influence functions for hessian-free data attribution, 2025

Reference 28

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Observation 7332133d-e8f9-478a-b3ed-2f01df1686d2 · outbound

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Influence Dynamics and Stagewise Data Attribution The local learning coefficient: a singularity-aware complexity measure

Reference 29

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Observation a96eef11-fcd5-4a5f-ad5b-8cca6ade7e8c · outbound

This paper cites Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning.

Influence Dynamics and Stagewise Data Attribution Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

Reference 30

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Observation cb7c1ddb-d735-4333-8255-409382850673 · outbound

This paper cites You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation.

Influence Dynamics and Stagewise Data Attribution You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation

Reference 31

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Observation b6dd0975-11c0-46b7-b1da-212750ae27c5 · outbound

This paper cites Preconditioned stochastic gradient langevin dynamics for deep neural networks.

Influence Dynamics and Stagewise Data Attribution Preconditioned stochastic gradient langevin dynamics for deep neural networks

Reference 32

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Observation 9b9ccb4f-c2fa-4159-a122-b4700dc1c1cd · outbound

This paper cites Tilting the odds at the lottery: the interplay of overparameterisation and curricula in neural networks.

Influence Dynamics and Stagewise Data Attribution Tilting the odds at the lottery: the interplay of overparameterisation and curricula in neural networks

Reference 33

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Observation 6adda16b-3ed1-44d8-8543-46aa47f36b80 · outbound

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Influence Dynamics and Stagewise Data Attribution Optimizing neural networks with Kronecker -factored approximate curvature

Reference 34

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Influence Dynamics and Stagewise Data Attribution A connectionist perspective on knowledge and development

Reference 35

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Observation 04ad5327-2335-4082-88fd-6c4c6ac44d25 · outbound

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Influence Dynamics and Stagewise Data Attribution In-context learning and induction heads

Reference 36

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Observation 3bcff91c-3621-44e4-994b-09a185a01a0c · outbound

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Influence Dynamics and Stagewise Data Attribution Estimating Training Data Influence by Tracing Gradient Descent

Reference 37

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Observation 5272c602-6651-40cc-bf64-aa16b660878e · outbound

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Influence Dynamics and Stagewise Data Attribution On the spectral bias of neural networks

Reference 38

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Observation 426ee3b4-9ef4-4485-8c33-1e9603ba77f6 · outbound

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Influence Dynamics and Stagewise Data Attribution Semantic cognition: A parallel distributed processing approach

Reference 39

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Influence Dynamics and Stagewise Data Attribution 1 learning and connectionist

Reference 40

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Observation a3c1ffa7-47b0-47e2-bc51-6ead0418b24d · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Influence Dynamics and Stagewise Data Attribution Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 41

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Observation d04fd8a8-7332-41e0-9c28-c29a15dd96da · outbound

This paper cites Saxe, James L.

Influence Dynamics and Stagewise Data Attribution Saxe, James L

Reference 43

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Observation 254b045d-8f17-4a25-a482-4e9e182b572a · outbound

This paper cites LLM Circuit Analyses Are Consistent Across Training and Scale.

Influence Dynamics and Stagewise Data Attribution LLM Circuit Analyses Are Consistent Across Training and Scale

Reference 44

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Observation 66d35cff-bff9-42fe-8f74-2ca7210bdca8 · outbound

This paper cites Multidimensional scaling: I.

Influence Dynamics and Stagewise Data Attribution Multidimensional scaling: I

Reference 45

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Observation 292b8195-3500-4fa9-a850-dfd97c33ab70 · outbound

This paper cites Structure Development in List-Sorting Transformers.

Influence Dynamics and Stagewise Data Attribution Structure Development in List-Sorting Transformers

Reference 46

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Observation 0ad3df73-a5c0-4fda-aacf-286b2f6edd3e · outbound

This paper cites Deep learning generalizes because the parameter-function map is biased towards simple functions.

Influence Dynamics and Stagewise Data Attribution Deep learning generalizes because the parameter-function map is biased towards simple functions

Reference 47

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Observation 43c9fdb7-8275-4232-9c4e-aac368bc32a5 · outbound

This paper cites Asymptotic statistics, volume 3.

Influence Dynamics and Stagewise Data Attribution Asymptotic statistics, volume 3

Reference 48

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Observation e56d6dac-e5d5-4a23-9679-a3f7ec5dfa0d · outbound

This paper cites Embryology of a Language Model.

Influence Dynamics and Stagewise Data Attribution Embryology of a Language Model

Reference 49

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Observation 842ed135-5c1d-41c5-a1a4-c060a31ca7b1 · outbound

This paper cites Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient.

Influence Dynamics and Stagewise Data Attribution Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient

Reference 50

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Observation 1564ede7-297a-4353-9e0b-7d7b9b81c344 · outbound

This paper cites A survey on curriculum learning.

Influence Dynamics and Stagewise Data Attribution A survey on curriculum learning

Reference 51

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Observation 2ca00e40-f409-4d8c-a8c6-4d487524c6ad · outbound

This paper cites Algebraic Geometry and Statistical Learning Theory.

Influence Dynamics and Stagewise Data Attribution Algebraic Geometry and Statistical Learning Theory

Reference 52

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Observation 9f320c01-dc34-46b8-8ff2-2269e2c1a7d3 · outbound

This paper cites Mathematical theory of Bayesian statistics.

Influence Dynamics and Stagewise Data Attribution Mathematical theory of Bayesian statistics

Reference 53

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Observation 70ff1903-ecf6-4ae6-899d-eaaa8043afa9 · outbound

This paper cites Bayesian learning via stochastic gradient Langevin dynamics.

Influence Dynamics and Stagewise Data Attribution Bayesian learning via stochastic gradient Langevin dynamics

Reference 54

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Observation d43b2339-172f-481c-ab96-f5937a30eef9 · outbound

This paper cites When Do Curricula Work?.

Influence Dynamics and Stagewise Data Attribution When Do Curricula Work?

Reference 55

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Observation 4364f366-8517-4d01-9553-bb2ee5533b39 · outbound

This paper cites @esa (Ref.

Influence Dynamics and Stagewise Data Attribution @esa (Ref

Reference 56

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Observation 205ab987-7bb3-4d52-8844-51f900b0299c · outbound

This paper cites an unresolved cited work.

Influence Dynamics and Stagewise Data Attribution Unresolved cited work

Reference 57

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Observation 72e9d8ff-b317-4a94-b89b-14b1e04e6513 · outbound

This paper cites Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning.

Influence Dynamics and Stagewise Data Attribution Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning

Reference 58

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verified exact
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Pith citing papers

Observation 2a310f25-cd59-4c19-91cf-51a840eab3cf · inbound

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units cites this paper.

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units Influence Dynamics and Stagewise Data Attribution

Reference 2023

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Observation 0f4c0163-db8c-4f13-b87b-0e5b2e1494ad · inbound

Mapping data sensitivities in global QCD analysis with linear response and influence functions cites this paper.

Mapping data sensitivities in global QCD analysis with linear response and influence functions Influence Dynamics and Stagewise Data Attribution

Reference 53

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arxiv_id, observed 2026-06-10T02:11:41.946543Z

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Observation 08233de0-5b51-404c-8063-d87cb9df8e74 · inbound

Dead Directions: Geometric Singular Learning cites this paper.

Dead Directions: Geometric Singular Learning Influence Dynamics and Stagewise Data Attribution

Reference 26

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

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