Paper Citation Record · LEDGER

Causal Inference for Sequential Settings under Interference and Latent Confounding

As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2607.14940.

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

pith.paper-citation-record.v1
2607.14940 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:47:16.186822Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:02:57.601083Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:02:57.814015Z

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation cc1ddb2c-4012-4142-a7f5-9c36851edec2 · outbound

This paper cites an unresolved cited work.

Causal Inference for Sequential Settings under Interference and Latent Confounding Unresolved cited work

Reference 1

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Observation dac258ac-3b40-4c1d-b300-a490c4a617f1 · outbound

This paper cites Toward Causal Inference With Interference,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Toward Causal Inference With Interference,

Reference 2

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Observation 2fb23707-d873-4334-92b2-0f740600f000 · outbound

This paper cites Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment,

Reference 3

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Observation 66073a46-19e9-4eb8-b08f-0bd3d6af294a · outbound

This paper cites Average treatment effects in the presence of unknown interference,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Average treatment effects in the presence of unknown interference,

Reference 4

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Observation ad808012-f49a-4f17-9b72-ed0a5c13a96c · outbound

This paper cites Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference,

Reference 5

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Observation 35152877-5281-446e-9237-6e8e2ca22d04 · outbound

This paper cites The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference,.

Causal Inference for Sequential Settings under Interference and Latent Confounding The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference,

Reference 6

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Observation e84b7995-d249-4529-b033-64e5a9b83299 · outbound

This paper cites Auto-g-computation of causal effects on a network,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Auto-g-computation of causal effects on a network,

Reference 7

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Observation bf74642f-846a-468f-945e-accf26ca42ba · outbound

This paper cites Causal effect estimation under network interference with mean- field methods,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Causal effect estimation under network interference with mean- field methods,

Reference 8

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Observation d6ff5839-efa8-49bc-b780-e0692cb1c40c · outbound

This paper cites Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference,

Reference 9

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Observation 1d3e3f26-c049-4684-be04-86ca1ff37949 · outbound

This paper cites Designs for estimating the treatment effect in networks with interference,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Designs for estimating the treatment effect in networks with interference,

Reference 10

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Observation 53b998d2-e298-4d11-aa41-3e8a0e10ede1 · outbound

This paper cites Randomized graph cluster randomization,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Randomized graph cluster randomization,

Reference 11

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Observation 69d6a9e3-51b0-4a1c-8730-54bf2e344ee3 · outbound

This paper cites The economic costs of conflict: A case study of the basque country,.

Causal Inference for Sequential Settings under Interference and Latent Confounding The economic costs of conflict: A case study of the basque country,

Reference 12

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Observation 3aaf1c1a-b90d-4d43-9ee4-444198385022 · outbound

This paper cites Robust synthetic control,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Robust synthetic control,

Reference 13

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Observation a39e0222-684e-4339-90a5-99ea9265f925 · outbound

This paper cites Doubly Robust Inference in Causal Latent Factor Models.

Causal Inference for Sequential Settings under Interference and Latent Confounding Doubly Robust Inference in Causal Latent Factor Models

Reference 14

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Observation b6ba00d8-d1ae-42df-83f0-abd9e9ed8643 · outbound

This paper cites Synthetic interventions: Extending synthetic controls to multiple treatments,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Synthetic interventions: Extending synthetic controls to multiple treatments,

Reference 15

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Observation 1fa99690-192e-4631-95ae-db43653bedea · outbound

This paper cites Estimation in spin glasses: A first step,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Estimation in spin glasses: A first step,

Reference 16

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Observation f1019fa0-987d-465e-a3f0-64b6f9bc2b50 · outbound

This paper cites Inference in ising models,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Inference in ising models,

Reference 17

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Observation 785e6431-d251-46cb-af64-33fa37aaa8e8 · outbound

This paper cites Regression from dependent observations,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Regression from dependent observations,

Reference 18

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Observation f79d4699-72d5-4a32-9a82-854271d64e44 · outbound

This paper cites Joint estimation of parameters in ising model,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Joint estimation of parameters in ising model,

Reference 19

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Observation c9b6ce48-b028-45fe-9d7e-94927479d635 · outbound

This paper cites Learning ising models from one or multiple samples,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Learning ising models from one or multiple samples,

Reference 20

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Observation 0b53add8-a498-40f6-a2d0-4f54cbeadf2d · outbound

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Causal Inference for Sequential Settings under Interference and Latent Confounding Statistical Estimation from Dependent Data,

Reference 21

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Observation a5b3540a-c5a8-4387-95e9-f6429d615a69 · outbound

This paper cites Identification of treatment response with social interactions,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Identification of treatment response with social interactions,

Reference 22

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Observation bc66366a-65db-4dda-8463-f39755710e12 · outbound

This paper cites Causal Inference for a Population of Causally Connected Units,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Causal Inference for a Population of Causally Connected Units,

Reference 23

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Causal Inference for Sequential Settings under Interference and Latent Confounding Identification and estimation of causal effects from dependent data,

Reference 24

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Observation 6ad2dde1-b3c4-49e0-b99a-0cd9aa253354 · outbound

This paper cites Causal inference under interference and net- work uncertainty,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Causal inference under interference and net- work uncertainty,

Reference 25

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Observation 2931c50d-12f1-404a-a4ea-f91b083fd363 · outbound

This paper cites Public health implications of opening National Football League stadiums during the COVID-19 pandemic,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Public health implications of opening National Football League stadiums during the COVID-19 pandemic,

Reference 26

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Observation b633fd94-ee86-4678-9a0f-8b4dac0260db · outbound

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Causal Inference for Sequential Settings under Interference and Latent Confounding Ding,A first course in causal inference

Reference 27

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Observation 9c8c8a70-f0fa-4ea5-afc9-a7ae633188eb · outbound

This paper cites Synthetic control methods for comparative case studies: Estimating the effect of california’s tobacco control program,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Synthetic control methods for comparative case studies: Estimating the effect of california’s tobacco control program,

Reference 28

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Observation 66c295dc-1078-442f-b1bf-71cd5a5663e4 · outbound

This paper cites Learning from weakly dependent data under Dobrushin’s condition,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Learning from weakly dependent data under Dobrushin’s condition,

Reference 29

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This paper cites Logistic regression with peer-group effects via inference in higher-order Ising models,.

Causal Inference for Sequential Settings under Interference and Latent Confounding Logistic regression with peer-group effects via inference in higher-order Ising models,

Reference 30

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Observation 3c2bbe1c-8578-4e0c-bdcb-127dc5da6303 · outbound

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Causal Inference for Sequential Settings under Interference and Latent Confounding Estimating Ising Models in Total Variation Distance,

Reference 31

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Causal Inference for Sequential Settings under Interference and Latent Confounding The description of a random field by means of conditional probabilities and conditions of its regularity,

Reference 32

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Causal Inference for Sequential Settings under Interference and Latent Confounding Spatial interaction and the statistical analysis of lattice systems,

Reference 33

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Causal Inference for Sequential Settings under Interference and Latent Confounding Statistical analysis of non-lattice data,

Reference 34

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Causal Inference for Sequential Settings under Interference and Latent Confounding On learning continuous pairwise markov random fields,

Reference 35

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This paper cites A computationally efficient method for learning expo- nential family distributions,.

Causal Inference for Sequential Settings under Interference and Latent Confounding A computationally efficient method for learning expo- nential family distributions,

Reference 36

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Causal Inference for Sequential Settings under Interference and Latent Confounding On counterfactual inference with unob- served confounding,

Reference 37

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Causal Inference for Sequential Settings under Interference and Latent Confounding Why are big data matrices approximately low rank?,

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Causal Inference for Sequential Settings under Interference and Latent Confounding Chatterjee,Concentration inequalities with exchangeable pairs

Reference 39

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Causal Inference for Sequential Settings under Interference and Latent Confounding Concentration of multilinear functions of the ising model with applications to network data,

Reference 40

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Causal Inference for Sequential Settings under Interference and Latent Confounding A simple condition implying rapid mixing of single-site dynamics on spin sys- tems,

Reference 41

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Causal Inference for Sequential Settings under Interference and Latent Confounding Decay of correlations under dobrushin’s uniqueness condition and its applica- tions,

Reference 42

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Causal Inference for Sequential Settings under Interference and Latent Confounding A covariance estimate for Gibbs measures,

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Causal Inference for Sequential Settings under Interference and Latent Confounding Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization,

Reference 44

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Causal Inference for Sequential Settings under Interference and Latent Confounding Low-rank matrix completion using alternating mini- mization,

Reference 45

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Causal Inference for Sequential Settings under Interference and Latent Confounding Nonconvex optimization meets low-rank matrix factorization: An overview,

Reference 46

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Causal Inference for Sequential Settings under Interference and Latent Confounding Stochastic relaxation, gibbs distributions, and the bayesian restora- tion of images,

Reference 47

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Causal Inference for Sequential Settings under Interference and Latent Confounding Graphical Models, Exponential Families, and Variational Inference,

Reference 48

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Causal Inference for Sequential Settings under Interference and Latent Confounding On the hardness of sampling independent sets beyond the tree threshold,

Reference 49

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Causal Inference for Sequential Settings under Interference and Latent Confounding Coronavirus (COVID-19) data in the United States

Reference 50

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Causal Inference for Sequential Settings under Interference and Latent Confounding COVID data tracker: Vaccinations

Reference 51

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Causal Inference for Sequential Settings under Interference and Latent Confounding Vaccine tracking data repository

Reference 52

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Causal Inference for Sequential Settings under Interference and Latent Confounding Tight oracle inequalities for low-rank matrix recovery from a min- imal number of noisy random measurements,

Reference 53

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Causal Inference for Sequential Settings under Interference and Latent Confounding Verification of forecasts expressed in terms of probability,

Reference 54

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Causal Inference for Sequential Settings under Interference and Latent Confounding 1 N X i x(s) i |x(t) =y # −E

Reference 55

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Pith citing papers

Observation 98e17548-6d44-4797-85ac-3671628b64f4 · inbound

Scaling Limits for Ising Models on Inhomogeneous Random Graphs and Applications cites this paper.

Scaling Limits for Ising Models on Inhomogeneous Random Graphs and Applications Causal Inference for Sequential Settings under Interference and Latent Confounding

Reference 59

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