Paper Citation Record · LEDGER

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 6 inbound Pith citation observations for arXiv:2510.00845.

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

pith.paper-citation-record.v1
2510.00845 v4

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:24:00.114224Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:32:05.937183Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T09:06:59.169038Z

Reference resolution

61 of 61 outbound references displayed

verified exact4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cde8107c-6611-4445-95e8-6e675cd61cec · outbound

This paper cites Sanity checks for saliency maps.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Sanity checks for saliency maps

Reference 1

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Observation a72547f8-79d5-47e7-b67e-fc4c1c938e40 · outbound

This paper cites Llama 3.2 model card.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Llama 3.2 model card

Reference 2

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Observation b4946d70-7451-4328-b5da-3f07e1956d9b · outbound

This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai

Reference 3

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Observation 3f433ab8-c3a8-422c-8897-cb8daee42a31 · outbound

This paper cites Network dissection: Quantifying interpretability of deep visual representations.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Network dissection: Quantifying interpretability of deep visual representations

Reference 4

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Observation ee0ee485-9f4d-4627-bace-b8ca50c7cfc3 · outbound

This paper cites Statistics for experimenters: Design, innovation, and discovery.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Statistics for experimenters: Design, innovation, and discovery

Reference 5

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Observation 7bf9fe27-d93d-48cf-8014-b2bb3dda2db0 · outbound

This paper cites Finding transformer circuits with edge pruning.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Finding transformer circuits with edge pruning

Reference 6

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Observation 03abcbf7-b6c3-42b3-adf7-0b79f4d51acb · outbound

This paper cites Box, Stuart Hunter, and William Hunter.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Box, Stuart Hunter, and William Hunter

Reference 7

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Observation 8d7ac03b-c0d9-4f71-96ad-5c1685f672e7 · outbound

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 8

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Observation 00f24bb6-2571-44bc-8816-b473d98e935a · outbound

This paper cites Thread: Circuits.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Thread: Circuits

Reference 9

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Observation cdeb2dd0-4ca7-495f-a2fd-7a61c8d3cc62 · outbound

This paper cites Guidance on uncertainty analysis in scientific assessments.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Guidance on uncertainty analysis in scientific assessments

Reference 10

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Observation 3809cfc8-ec6d-46e9-9c05-004171c2a602 · outbound

This paper cites Mavor-Parker, Aengus Lynch, Stefan Heimersheim, and Adri \`a Garriga-Alonso.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Mavor-Parker, Aengus Lynch, Stefan Heimersheim, and Adri \`a Garriga-Alonso

Reference 11

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Observation 87a1b0c2-1a47-4b5d-838c-b9e83128a7e3 · outbound

This paper cites Transcoders find interpretable LLM feature circuits.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Transcoders find interpretable LLM feature circuits

Reference 12

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Observation 9c2f2879-e84c-48e4-895b-81cc2db4fccd · outbound

This paper cites Efron and R.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Efron and R

Reference 13

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Observation 4e8c0fd3-ef8c-4a7d-914b-091b787105c4 · outbound

This paper cites A mathematical framework for transformer circuits.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis A mathematical framework for transformer circuits

Reference 14

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Observation 1a8a067a-504a-4aa9-96ff-88080452333a · outbound

This paper cites Alphaedit: Null-space constrained model editing for language models.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Alphaedit: Null-space constrained model editing for language models

Reference 15

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Observation 4682ce8b-d161-4c8f-b7be-20855747f10e · outbound

This paper cites Statistical methods and scientific induction.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Statistical methods and scientific induction

Reference 16

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Observation c8cb89ea-9aa1-48aa-b817-cabcb378502a · outbound

This paper cites Causal abstractions of neural networks.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Causal abstractions of neural networks

Reference 17

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Observation bc4216a7-ab31-41eb-bae1-d8405b0439f7 · outbound

This paper cites How does GPT -2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis How does GPT -2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Reference 18

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Observation b2c4d70c-f3e4-401f-ac9f-d70f3b20c277 · outbound

This paper cites Have faith in faithfulness: Going beyond circuit overlap when finding model mechanisms.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Have faith in faithfulness: Going beyond circuit overlap when finding model mechanisms

Reference 19

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Observation 52c9e155-47ee-4108-b506-7198460a2e0b · outbound

This paper cites Sparse autoencoders can interpret randomly initialized transformers, 2025.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Sparse autoencoders can interpret randomly initialized transformers, 2025

Reference 20

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Observation b890a458-797b-4d75-8275-210eeff9bd17 · outbound

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 21

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Observation 0a62c27b-2972-4620-a296-d40a0543f1e5 · outbound

This paper cites Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark

Reference 22

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 23

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Observation 274cbffd-9084-4ffa-b703-b89d9062b61b · outbound

This paper cites BASIC GUIDELINES FOR RESEARCH: An Introductory Approach for All Disciplines.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis BASIC GUIDELINES FOR RESEARCH: An Introductory Approach for All Disciplines

Reference 24

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Observation a8012600-3345-426f-abad-c80adac2c6c0 · outbound

This paper cites An Interpretability Illusion for Activation Patching of Arbitrary Subspaces.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis An Interpretability Illusion for Activation Patching of Arbitrary Subspaces

Reference 25

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 26

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 27

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Observation 5786f129-1413-4d36-b6ab-df65184043c6 · outbound

This paper cites Mechanistic interpretability meets vision language models: Insights and limitations.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Mechanistic interpretability meets vision language models: Insights and limitations

Reference 28

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Error and the growth of experimental knowledge

Reference 29

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Observation 2d9d7190-6627-4b90-a91f-5dee3dddcf55 · outbound

This paper cites Everything, everywhere, all at once: Is mechanistic interpretability identifiable? In The Thirteenth International Conference on Learning Representations, 2025.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Everything, everywhere, all at once: Is mechanistic interpretability identifiable? In The Thirteenth International Conference on Learning Representations, 2025

Reference 30

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This paper cites Locating and editing factual associations in gpt.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Locating and editing factual associations in gpt

Reference 31

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Mass-editing memory in a transformer

Reference 32

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This paper cites Opening the ai black box: Distilling machine-learned algorithms into code.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Opening the ai black box: Distilling machine-learned algorithms into code

Reference 33

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Observation d57f7c1b-ed56-4839-addd-e1247c944484 · outbound

This paper cites Transformer circuit evaluation metrics are not robust.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Transformer circuit evaluation metrics are not robust

Reference 34

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia

Reference 35

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This paper cites The quest for the right mediator: A history, survey, and theoretical grounding of causal interpretability, 2024.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis The quest for the right mediator: A history, survey, and theoretical grounding of causal interpretability, 2024

Reference 36

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Refining targeted syntactic evaluation of language models

Reference 37

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis The building blocks of interpretability

Reference 38

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Zoom in: An introduction to circuits

Reference 39

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Direct and indirect effects

Reference 40

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Language models are unsupervised multitask learners

Reference 42

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

Reference 43

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Hypothesis Testing the Circuit Hypothesis in LLMs

Reference 44

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Axiomatic attribution for deep networks

Reference 45

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Attribution patching outperforms automated circuit discovery

Reference 46

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Attribution Patching Outperforms Automated Circuit Discovery

Reference 47

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Explanation in causal inference: developments in mediation and interaction

Reference 48

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Investigating gender bias in language models using causal mediation analysis

Reference 49

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias

Reference 50

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 51

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This paper cites Interpretability in the wild: a circuit for indirect object identification in GPT -2 small.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Interpretability in the wild: a circuit for indirect object identification in GPT -2 small

Reference 52

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 53

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This paper cites Stability analysis of fluid flows using Lagrangian Perturbation Theory (LPT): application to the plane Couette flow.

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Stability analysis of fluid flows using Lagrangian Perturbation Theory (LPT): application to the plane Couette flow

Reference 54

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Functional faithfulness in the wild: Circuit discovery with differentiable computation graph pruning

Reference 55

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Zeiler and Rob Fergus

Reference 56

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Towards best practices of activation patching in language models: Metrics and methods

Reference 57

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis write newline

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis @esa (Ref

Reference 59

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Unresolved cited work

Reference 60

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Mechanistic Interpretability as Statistical Estimation: A Variance Analysis ground truth

Reference 61

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Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models cites this paper.

Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

Reference 13

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Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery cites this paper.

Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

Reference 61

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Necessary, Decodable and Reversible, Yet Not Transferable: A Stress Test for Attention-Head Role Claims cites this paper.

Necessary, Decodable and Reversible, Yet Not Transferable: A Stress Test for Attention-Head Role Claims Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

Reference 14

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Validating Causal Abstraction Metrics on Simulated Complex Systems cites this paper.

Validating Causal Abstraction Metrics on Simulated Complex Systems Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

Reference 214

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Observation 1cb1a5d4-969e-41ed-a7b9-f61d4910bab8 · inbound

Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability cites this paper.

Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

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Circuit Claims Depend on What Is Extracted and How It Is Compared cites this paper.

Circuit Claims Depend on What Is Extracted and How It Is Compared Mechanistic Interpretability as Statistical Estimation: A Variance Analysis

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