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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:08:23.976647Z

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 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=sha256:51c8fd39ac60fd52406b70660fffb3eaa9c71b4346ad9df852bd2b633a07ecf3

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=sha256:9d9419ae56251ed59532238eb537ff9043a7a4e6193b62a6f1d558de0b75beea

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=sha256:1f4f83ccabfa51b1f234ffe640d1fd50ed873efe3635f8ab0f86fe9bd77df6db

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T19:49:07.703701Z digest=sha256:6a58f1526908e1633c48f3263cf2bd61f730603bb5911368b840e2e52b2031b9

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=sha256:6a1e26e5eacc5dd3130a6f3408f8a5f82228c70ef5131ed51f80dc263b29196e