Pith. sign in

Paper Citation Record · LEDGER

Causal inference in network experiments: regression-based analysis and design-based properties

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2309.07476.

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

pith.paper-citation-record.v1
2309.07476 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:59:01.571271Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:51:49.339409Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b463f26e-08d6-4128-91b5-45fff3d771ea · inbound

Adjusting auxiliary variables under approximate neighborhood interference cites this paper.

Adjusting auxiliary variables under approximate neighborhood interference Causal inference in network experiments: regression-based analysis and design-based properties

Reference 1947

Resolution
unresolved
no resolver link, observed 2026-08-12T05:59:01.571271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:59:01.571271Z digest=sha256:e24ef3b89d22e7af1c8618ce0e7ba1c8c264838774198a427868037a3267b423

Observation c45d14e6-dea8-4cef-99c0-ff2b35d05017 · inbound

Endogenous Interference in Randomized Experiments cites this paper.

Endogenous Interference in Randomized Experiments Causal inference in network experiments: regression-based analysis and design-based properties

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T23:53:21.018433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:53:21.018433Z digest=sha256:8ce4c602d5028a7ba7a36ec26a935ef217b68564374985c454f8c390f526419f

Observation 681b5e1c-17c2-4fe8-8f5f-a545c6e28431 · inbound

Online Experimental Design With Estimation-Regret Trade-off Under Network Interference cites this paper.

Online Experimental Design With Estimation-Regret Trade-off Under Network Interference Causal inference in network experiments: regression-based analysis and design-based properties

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T22:21:11.665585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:21:11.665585Z digest=sha256:fe2339bb17b4e6ea2725ff54694d8fd3b9f3ec5719ec409ab1f3dddde04503bc

Observation b5cceffa-86f9-4b09-8a3e-d417346492b7 · inbound

Design-based causal inference in bipartite experiments cites this paper.

Design-based causal inference in bipartite experiments Causal inference in network experiments: regression-based analysis and design-based properties

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T19:44:54.199891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:44:54.199891Z digest=sha256:55046bf9bd206417b6a3d1778007af07e3b5b01a5fcb263e67119e57b5d44566

Observation 8efe0ac8-0dd5-457f-84fb-5ed8374f412b · inbound

Causal Inference under Interference: Regression Adjustment and Optimality cites this paper.

Causal Inference under Interference: Regression Adjustment and Optimality Causal inference in network experiments: regression-based analysis and design-based properties

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T17:08:23.976647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:08:23.976647Z digest=sha256:753c477c3b8dc47ceb1a5a8564447403fbea5b91cdfdc33733b173b4fe42df46

Observation f976bcd2-d635-4277-9265-1e07adb66a3b · 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 Causal inference in network experiments: regression-based analysis and design-based properties

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:15.122199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:15.122199Z digest=sha256:6858823cb1fc887de67d475ad0ed65375a3df6a9acd377d029b77a01ae26e0db

Observation b706521a-c53e-4142-bfe9-db926061a63e · inbound

Design-Based and Network Sampling-Based Uncertainties in Network Experiments cites this paper.

Design-Based and Network Sampling-Based Uncertainties in Network Experiments Causal inference in network experiments: regression-based analysis and design-based properties

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:02:52.118447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:02:52.118447Z digest=sha256:abea05e9fc64792dcbb698298c78e1f25360a2831559b478302d8276be4be405

Observation 1dd65988-345a-4c34-a057-a0b093317355 · inbound

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions cites this paper.

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions Causal inference in network experiments: regression-based analysis and design-based properties

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:51:49.341984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-18T19:49:07.703701Z digest=sha256:aaed32866070085c3bcf648c5ef29e17b14bf32b27d9726807461b858d96c1f4

Observation 0cf30b76-28b4-4e3d-80b1-0d3d14ccd0cd · 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 Causal inference in network experiments: regression-based analysis and design-based properties

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T12:16:03.168025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:16:03.168025Z digest=sha256:32246d4f7f8a52fb1c9a6958b50f2e012547292556fc224f1258daf7344e12df