Paper Citation Record · LEDGER

Bipartite causal inference with interference, time series data, and a random network

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 3 inbound Pith citation observations for arXiv:2404.04775.

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

pith.paper-citation-record.v1
2404.04775 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T02:22:38.540827Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:34:03.709632Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:06:24.762819Z

Reference resolution

29 of 29 outbound references displayed

verified exact4
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51afafc0-31a6-4f11-81fe-e040e86c5a10 · outbound

This paper cites Econometric methods for program evaluation.

Bipartite causal inference with interference, time series data, and a random network Econometric methods for program evaluation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.656457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98ab579b-a59a-4953-b736-c64930ceacdd · outbound

This paper cites Large sample properties of matching estimators for average treatment effects.

Bipartite causal inference with interference, time series data, and a random network Large sample properties of matching estimators for average treatment effects

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.637148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bbc07da-ff86-4ac4-897f-a090777b0616 · outbound

This paper cites Network synthetic interventions: A causal framework for panel data under network interference.

Bipartite causal inference with interference, time series data, and a random network Network synthetic interventions: A causal framework for panel data under network interference

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.626150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 751b5693-8c3e-44eb-a7ab-699e9e2b778b · outbound

This paper cites Aronow and Cyrus Samii.

Bipartite causal inference with interference, time series data, and a random network Aronow and Cyrus Samii

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.646300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 94453072-5369-44f8-ba3b-35684be8e872 · outbound

This paper cites Controlling the false discovery rate: a practical and powerful approach to multiple testing.

Bipartite causal inference with interference, time series data, and a random network Controlling the false discovery rate: a practical and powerful approach to multiple testing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.650090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8260d434-a098-4c56-b5cf-d20548fb1804 · outbound

This paper cites Time series experiments and causal estimands: Exact randomization tests and trading.

Bipartite causal inference with interference, time series data, and a random network Time series experiments and causal estimands: Exact randomization tests and trading

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.643369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d11d660b-8ef8-4efa-8553-88a43e718105 · outbound

This paper cites Cluster randomized designs for one-sided bipartite experiments.

Bipartite causal inference with interference, time series data, and a random network Cluster randomized designs for one-sided bipartite experiments

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.666022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9208a74c-7749-4a75-aa8a-c8a35d861558 · outbound

This paper cites Estimation and inference for synthetic control methods with spillover effects.

Bipartite causal inference with interference, time series data, and a random network Estimation and inference for synthetic control methods with spillover effects

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:23:45.786157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c4991f1-14b8-42e8-ab4c-651ac22c9a1b · outbound

This paper cites An Approach to Causal Inference over Stochastic Networks.

Bipartite causal inference with interference, time series data, and a random network An Approach to Causal Inference over Stochastic Networks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:23:45.793790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 643f0010-c5e2-49aa-9fc3-4bfc8b1a0cf5 · outbound

This paper cites The inclusive synthetic control method.

Bipartite causal inference with interference, time series data, and a random network The inclusive synthetic control method

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.662542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 283bcf8f-8ecd-42ee-a2e5-11a388ff0c3f · outbound

This paper cites Urban bike and pedestrian activity impacts from wildfire smoke events in seattle, wa.

Bipartite causal inference with interference, time series data, and a random network Urban bike and pedestrian activity impacts from wildfire smoke events in seattle, wa

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.669654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2b7c2ffa-54cd-408a-b66e-2e082b52830c · outbound

This paper cites Causal inference with bipartite designs.

Bipartite causal inference with interference, time series data, and a random network Causal inference with bipartite designs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.659676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation efbf4b85-5985-48c6-a51c-395d66ecd917 · outbound

This paper cites Identification and estimation of treatment and interference effects in observational studies on networks.

Bipartite causal inference with interference, time series data, and a random network Identification and estimation of treatment and interference effects in observational studies on networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.629767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2128872b-90c2-4b7a-92db-369fa4a52188 · outbound

This paper cites Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach.

Bipartite causal inference with interference, time series data, and a random network Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:23:45.808006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4ee0b461-9f78-4084-8078-95e25ea90bc1 · outbound

This paper cites Design and analysis of bipartite experiments under a linear exposure-response model.

Bipartite causal inference with interference, time series data, and a random network Design and analysis of bipartite experiments under a linear exposure-response model

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.633868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35ec3931-3bf2-4958-970f-2f4ffb824342 · outbound

This paper cites Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference.

Bipartite causal inference with interference, time series data, and a random network Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.615470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 02921689-51a6-4afb-8529-3270a264b44c · outbound

This paper cites Causal inference in the social sciences.

Bipartite causal inference with interference, time series data, and a random network Causal inference in the social sciences

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.619128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b668ea3a-7ba3-4bc2-ab70-9bec797eb2aa · outbound

This paper cites Enhancing a geographic regression discontinuity design through matching to estimate the effect of ballot initiatives on voter turnout.

Bipartite causal inference with interference, time series data, and a random network Enhancing a geographic regression discontinuity design through matching to estimate the effect of ballot initiatives on voter turnout

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.640245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17277c76-3bc4-4d78-9287-1c2f80754c7d · outbound

This paper cites Estimating causal effects in the presence of partial interference using multivariate bayesian structural time series models.

Bipartite causal inference with interference, time series data, and a random network Estimating causal effects in the presence of partial interference using multivariate bayesian structural time series models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.622623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ee677c9-2957-4c46-aca8-7148358f1909 · outbound

This paper cites Variance reduction in bipartite experiments through correlation clustering.

Bipartite causal inference with interference, time series data, and a random network Variance reduction in bipartite experiments through correlation clustering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.692293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8868f1f2-934d-4847-a754-7915c00177a2 · outbound

This paper cites Inclusion of quasi-experimental studies in systematic reviews of health systems research.

Bipartite causal inference with interference, time series data, and a random network Inclusion of quasi-experimental studies in systematic reviews of health systems research

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.682897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3196f99-3a09-4804-a88f-54af4a9d8a5e · outbound

This paper cites Constructing a control group using multivariate matched sampling methods that incorporate the propensity score.

Bipartite causal inference with interference, time series data, and a random network Constructing a control group using multivariate matched sampling methods that incorporate the propensity score

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.653549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f13a1dcd-5b21-4f11-b54e-688e1851ff60 · outbound

This paper cites Causal inference with misspecified exposure mappings: separating definitions and assumptions.

Bipartite causal inference with interference, time series data, and a random network Causal inference with misspecified exposure mappings: separating definitions and assumptions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.679755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 963c12b3-03b0-4502-82ed-42d765886b5c · outbound

This paper cites Causal health impacts of power plant emission controls under modeled and uncertain physical process interference.

Bipartite causal inference with interference, time series data, and a random network Causal health impacts of power plant emission controls under modeled and uncertain physical process interference

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:23:45.800281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86e979ad-860f-4286-9951-374743d2421b · outbound

This paper cites Bipartite interference and air pollution transport: Estimating health effects of power plant interventions.

Bipartite causal inference with interference, time series data, and a random network Bipartite interference and air pollution transport: Estimating health effects of power plant interventions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.688961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01688199-8562-4f83-a760-02843c633bd0 · outbound

This paper cites Bipartite causal inference with interference.

Bipartite causal inference with interference, time series data, and a random network Bipartite causal inference with interference

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.686012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c25ed81e-10a8-4430-af26-04ce06fb4fb2 · outbound

This paper cites Using mixed integer programming for matching in an observational study of kidney failure after surgery.

Bipartite causal inference with interference, time series data, and a random network Using mixed integer programming for matching in an observational study of kidney failure after surgery

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.695748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc557917-4e95-4981-bd23-85a539680b27 · outbound

This paper cites Stronger instruments via integer programming in an observational study of late preterm birth outcomes.

Bipartite causal inference with interference, time series data, and a random network Stronger instruments via integer programming in an observational study of late preterm birth outcomes

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.676522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb951778-785f-4bbe-9376-ef3ded93575d · outbound

This paper cites Zubizarreta.

Bipartite causal inference with interference, time series data, and a random network Zubizarreta

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T02:23:46.673044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 4cb6b9c7-e4d2-404c-a9f5-63cb973c4eae · inbound

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach cites this paper.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Bipartite causal inference with interference, time series data, and a random network

Reference 84

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:06:24.800848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d039261a-1def-487a-9d05-030383d944b9 · inbound

GAUGER: Generalized Regression Adjustment via Graph-Weighted Exposure-Level Residualization for Design-Based Inference Under Interference cites this paper.

GAUGER: Generalized Regression Adjustment via Graph-Weighted Exposure-Level Residualization for Design-Based Inference Under Interference Bipartite causal inference with interference, time series data, and a random network

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:06.931996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7050cdba-5cce-402a-b0f8-63fcc3116b09 · inbound

CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data cites this paper.

CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data Bipartite causal inference with interference, time series data, and a random network

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T00:34:03.709632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.