Paper Citation Record · LEDGER

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach

As of 10 August 2026, this Paper Citation Record lists 100 of 119 outbound references and 2 inbound Pith citation observations for arXiv:2505.20130.

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

pith.paper-citation-record.v1
2505.20130 v3

Coverage vector

measured 100 of 119 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:21.912613Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T19:15:15.716767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:17:50.656027Z

Reference resolution

100 of 119 outbound references displayed

verified exact5
verified fuzzy27
unresolved66
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78ef9aab-39af-441d-a160-7f40642ff1b9 · outbound

This paper cites Multi-Armed Bandits with Network Interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Multi-Armed Bandits with Network Interference

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.331584Z

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Observation a0a02622-7d98-42d8-a336-9128e799d39a · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.379582Z

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Observation 20d9f36b-d20f-4a07-b3d5-2ddf6bd31648 · outbound

This paper cites A., McIntosh, C., and Özler, B.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach A., McIntosh, C., and Özler, B

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.424222Z

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Observation f2cb0b0f-4914-407e-9aa2-c9b2153d4c4f · outbound

This paper cites W., Masoero, L., McQueen, J., Richardson, T., and Rosen, I.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach W., Masoero, L., McQueen, J., Richardson, T., and Rosen, I

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.493182Z

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Observation 7fde80d4-e7e6-4ad6-a1ca-f2f87f3d4b18 · outbound

This paper cites Causal inference under interference and network uncertainty.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Causal inference under interference and network uncertainty

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.542363Z

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Observation 48f91d55-ba8d-47e3-970a-ef32cc9e42be · outbound

This paper cites Off-policy evaluation in doubly inhomogeneous environments.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Off-policy evaluation in doubly inhomogeneous environments

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.627727Z

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Observation 4bd7bab6-ebb7-4943-ba50-ccc2df0fe937 · outbound

This paper cites V., Chades, I., and Dezfouli, A.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach V., Chades, I., and Dezfouli, A

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.712613Z

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Observation c3841975-c8e5-4d86-a659-bf5bb69627e7 · outbound

This paper cites Design and analysis of switchback experiments.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Design and analysis of switchback experiments

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.781019Z

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Observation 8581446d-3f79-4f04-96bf-8055dee695eb · outbound

This paper cites Optimized covariance design for a/b test on social network under interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Optimized covariance design for a/b test on social network under interference

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.834402Z

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Observation 5712250a-23a8-478c-8718-6a2903158901 · outbound

This paper cites and Qi, Z.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Qi, Z

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.912627Z

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Observation 9667d2bb-9775-4c0b-957c-727ba33959ce · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Double/debiased machine learning for treatment and structural parameters

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:13.972274Z

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Observation e33b75eb-c747-4212-875e-d348249f48ff · outbound

This paper cites K., and Singh, R.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach K., and Singh, R

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.011258Z

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Observation 68a0dbb5-5a0b-4f01-b21b-c7c184da74e0 · outbound

This paper cites Do labor market policies have displacement effects? evidence from a clustered randomized experiment.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Do labor market policies have displacement effects? evidence from a clustered randomized experiment

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.078006Z

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Observation 109c5afd-2597-4798-baf6-43ad3cc74a75 · outbound

This paper cites Statistics for spatial data.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Statistics for spatial data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.156737Z

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Observation a5b62a44-fad9-44fe-81ae-00d1b3540e1e · outbound

This paper cites Coindice: Off-policy confidence interval estimation.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Coindice: Off-policy confidence interval estimation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.228541Z

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Observation 8c68be7f-e8b2-4e10-a00c-7e18f9a5653e · outbound

This paper cites Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.276525Z

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Observation 69ca233a-17fd-4505-8aa1-85b796728a49 · outbound

This paper cites Doubly robust policy evaluation and learning.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Doubly robust policy evaluation and learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.350665Z

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Observation c2b2789f-58d7-4ac8-91c0-5d7384c727a9 · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.422452Z

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Observation f27fb82b-7a68-48a4-8e52-42b91af7d061 · outbound

This paper cites Markovian interference in experiments.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Markovian interference in experiments

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.494625Z

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Observation a9424f42-f689-453c-9dbd-336e1137adcf · outbound

This paper cites and Zheleva, E.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Zheleva, E

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.564023Z

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Observation d6545901-5b24-4d1b-bc36-31653ea6c538 · outbound

This paper cites Accountable off-policy evaluation with kernel bellman statistics.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Accountable off-policy evaluation with kernel bellman statistics

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.638177Z

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Observation aabca4b1-e926-42a8-b7ed-30e4d00dc9ed · outbound

This paper cites Algebraic connectivity of graphs.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Algebraic connectivity of graphs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.710109Z

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Observation 3aa713f2-23d7-4044-bd20-511a768a9c42 · outbound

This paper cites Laplacian of graphs and algebraic connectivity.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Laplacian of graphs and algebraic connectivity

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.786135Z

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Observation 53f0d9fa-6b6b-43d0-b8ee-8d8766813249 · outbound

This paper cites Best of three worlds: Adaptive experimentation for digital marketing in practice.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Best of three worlds: Adaptive experimentation for digital marketing in practice

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.846013Z

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Observation 4529fe67-664e-46a7-89fa-dfbc7a9ecde0 · outbound

This paper cites A., Fisher, R.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach A., Fisher, R

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.905805Z

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Observation 82321a5b-fa9a-48de-8c40-7b27caa26a14 · outbound

This paper cites M., and Mealli, F.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach M., and Mealli, F

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:14.979545Z

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Observation deb46811-e59d-42be-9816-a56f810e7181 · outbound

This paper cites R., Malik, I., and Rainforth, T.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach R., Malik, I., and Rainforth, T

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:15.060820Z

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Observation f976bcd2-d635-4277-9265-1e07adb66a3b · outbound

This paper cites Causal inference in network experiments: regression-based analysis and design-based properties.

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

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Observation e3f3cc5d-f6a1-411c-8416-d7d1280d572c · outbound

This paper cites and Hochbaum, D.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Hochbaum, D

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:15.215640Z

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Observation 478f867e-69ed-4c3a-aa0e-f39e2cc233ae · outbound

This paper cites Network a/b testing: From sampling to estimation.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Network a/b testing: From sampling to estimation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:15.330151Z

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Observation f6952219-c3f8-41cc-864a-5572e7149091 · outbound

This paper cites and Kahng, A.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Kahng, A

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:15.445983Z

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Observation c3a882ab-6009-415a-b7f4-8de7a127a108 · outbound

This paper cites On the role of the propensity score in efficient semiparametric estimation of average treatment effects.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach On the role of the propensity score in efficient semiparametric estimation of average treatment effects

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:15.571336Z

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Observation 89d99405-dc01-4cf7-a5a2-6b07cc5af010 · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:15.731461Z

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Observation a6093396-a345-4ecd-a336-0bcbb3ddb78f · outbound

This paper cites P., Thomas, P.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach P., Thomas, P

Reference 34

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Observation f1d64561-90e2-432c-b0bf-13dc4e60f317 · outbound

This paper cites Bootstrapping fitted q-evaluation for off-policy inference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Bootstrapping fitted q-evaluation for off-policy inference

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:15.998087Z

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Observation a933f362-7641-4632-b47d-587b34864585 · outbound

This paper cites A., and Zhang, P.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach A., and Zhang, P

Reference 36

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Observation 83c3e41d-9b7a-472b-abf0-68f9dc964696 · outbound

This paper cites J., Ichimura, H., and Todd, P.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach J., Ichimura, H., and Todd, P

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:16.329431Z

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Observation eafabe03-4113-42b3-82c3-62328986a60a · outbound

This paper cites and Wager, S.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Wager, S

Reference 38

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Observation 75553c7b-5429-41dd-aa47-20529aa9fc54 · outbound

This paper cites and Wager, S.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Wager, S

Reference 39

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Observation 14daa32b-c2b2-493b-aa0f-7b264bac6963 · outbound

This paper cites Average direct and indirect causal effects under interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Average direct and indirect causal effects under interference

Reference 40

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Observation b05d37c8-8f09-482b-8992-c38eee7d7c78 · outbound

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 41

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Observation fab711dd-4b41-43c2-a4db-ac0f88e42b5a · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 42

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Observation 15d2dfb0-64cb-4f01-8e53-9f3051724a0b · outbound

This paper cites Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference

Reference 43

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Observation 848023c7-067b-4a0d-b1dc-c11fcfe0a70b · outbound

This paper cites Multi-Armed Bandits with Interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Multi-Armed Bandits with Interference

Reference 44

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Observation b897a799-a3da-4314-848a-a046f256e370 · outbound

This paper cites and Li, L.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Li, L

Reference 45

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Observation 4a4d2feb-b5f8-4553-9bd6-f5c845a050d8 · outbound

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Causal Inference under Network Interference Using a Mixture of Randomized Experiments

Reference 46

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Observation bf5637d3-b7f4-4f45-868c-4d283b618666 · outbound

This paper cites Causal Inference in Social Platforms Under Approximate Interference Networks.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Causal Inference in Social Platforms Under Approximate Interference Networks

Reference 47

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This paper cites Experimental Design in Two-Sided Platforms: An Analysis of Bias.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Experimental Design in Two-Sided Platforms: An Analysis of Bias

Reference 48

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Observation d80f3057-8e57-4c58-805e-f3248b4cd761 · outbound

This paper cites Always valid inference: Continuous monitoring of a/b tests.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Always valid inference: Continuous monitoring of a/b tests

Reference 49

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Optimal a priori balance in the design of controlled experiments

Reference 50

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Uehara, M

Reference 51

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Network experimentation at scale

Reference 52

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Observation 49bc368f-e971-4e25-ae34-c41d6138de04 · outbound

This paper cites Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices

Reference 53

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Observation 44ca6fb8-12cb-4856-9a55-9bcd1701c1c6 · outbound

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach The handbook of urban morphology

Reference 54

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Confident off-policy evaluation and selection through self-normalized importance weighting

Reference 55

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Observation 2b273e8f-ef3f-4579-bdd1-a030dcdf47ae · outbound

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Batch policy learning under constraints

Reference 56

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Observation 6539d5fc-d8f8-46bf-b9ff-3963a656c52d · outbound

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 57

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Observation f8b3f08a-bc26-4315-b49f-0e943a307d40 · outbound

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Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 58

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Observation 67a04fd4-f57a-4fa8-905f-7f0737844485 · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:06:34.695335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 891982f6-f9e9-49c5-90d9-5c3e58fc14d2 · outbound

This paper cites Optimal treatment allocation for efficient policy evaluation in sequential decision making.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Optimal treatment allocation for efficient policy evaluation in sequential decision making

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:34.435644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf8da29e-63be-488b-830a-4a413b04232a · outbound

This paper cites Evaluating dynamic conditional quantile treatment effects with applications in ridesharing.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Evaluating dynamic conditional quantile treatment effects with applications in ridesharing

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:34.272660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef7d3137-6b4a-4f6c-a776-5013649c6f30 · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:06:34.124394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 236e3d13-1af3-4e25-a500-d35690167bb9 · outbound

This paper cites G., and Becker-Dreps, S.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach G., and Becker-Dreps, S

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:33.980777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46c6e142-2bef-40b4-a8fc-31f10446bf58 · outbound

This paper cites G., Saul, B., Clemens, J.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach G., Saul, B., Clemens, J

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:33.828286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 832c953c-4be4-4ddc-afcd-eaf4391866d9 · outbound

This paper cites Breaking the curse of horizon: Infinite-horizon off-policy estimation.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Breaking the curse of horizon: Infinite-horizon off-policy estimation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:18.733057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46155cfe-b105-4433-8249-3982770b25ba · outbound

This paper cites and Zhang, S.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Zhang, S

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:33.672663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f8e482c-bf07-4e0b-aa41-dc8d733ddc02 · outbound

This paper cites Cluster-adaptive network a/b testing: From randomization to estimation.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Cluster-adaptive network a/b testing: From randomization to estimation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:33.484329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b17f36a2-e4a4-45fe-b338-e4f7a4a29d99 · outbound

This paper cites J., Laber, E.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach J., Laber, E

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:33.340493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a05313bc-4b0b-4a23-9036-ebf67255ab8c · outbound

This paper cites Policy evaluation for temporal and/or spatial dependent experiments.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Policy evaluation for temporal and/or spatial dependent experiments

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:33.121550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a410c17-1b0c-4d0c-a891-5d89cea4e09f · outbound

This paper cites and Tresp, V.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Tresp, V

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:32.970429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08dd4b40-668e-43cc-b915-a4413f0cc04e · outbound

This paper cites Treatment Effects in Market Equilibrium.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Treatment Effects in Market Equilibrium

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:19.278039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb8af56-dcdf-457e-80d4-187656bda500 · outbound

This paper cites Design of panel experiments with spatial and temporal interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Design of panel experiments with spatial and temporal interference

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:32.790054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a22f3e65-6ecb-470c-8cf3-03ce7ee3af27 · outbound

This paper cites G., Halloran, M.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach G., Halloran, M

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:32.607762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f01d9461-fbb0-4fab-8f63-52804cc61424 · outbound

This paper cites A graph-theoretic approach to randomization tests of causal effects under general interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach A graph-theoretic approach to randomization tests of causal effects under general interference

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:32.460654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 201dd550-fffe-47e6-a758-79de339dcbcd · outbound

This paper cites J., Yang, S., Guan, Y., Giffin, A.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach J., Yang, S., Guan, Y., Giffin, A

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:32.292511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b649f624-3df7-41b1-89ff-9b1aefc74053 · outbound

This paper cites Randomized experimental design via geographic clustering.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Randomized experimental design via geographic clustering

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:32.127479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1571090-15aa-4129-8900-76c770f31bad · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:06:31.927648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c025660-9f09-46c6-9bdd-01482df96a18 · outbound

This paper cites Deeply-debiased off-policy interval estimation.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Deeply-debiased off-policy interval estimation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:19.890631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b4f42ff-0e01-4944-8a5c-4da5a9ffdb42 · outbound

This paper cites Statistical inference of the value function for reinforcement learning in infinite-horizon settings.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Statistical inference of the value function for reinforcement learning in infinite-horizon settings

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:31.592353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac7f37f6-aa68-4ade-a567-f8f64bec70d6 · outbound

This paper cites A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:31.296958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bcad4146-c5ab-4a25-892b-130e3e9e879c · outbound

This paper cites Dynamic causal effects evaluation in a/b testing with a reinforcement learning framework.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Dynamic causal effects evaluation in a/b testing with a reinforcement learning framework

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:30.960872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46311c82-c481-41d7-b6b5-911105a24ff0 · outbound

This paper cites Off-policy confidence interval estimation with confounded markov decision process.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Off-policy confidence interval estimation with confounded markov decision process

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:20.287441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09fd391-614d-4f06-9935-1911f9cb4ce1 · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:06:30.775824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

This paper cites Bipartite causal inference with interference, time series data, and a random network.

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 2026-08-10T06:31:04.303077+00:00.

Observation fc070d39-6d9c-45d9-8792-74b5169b94eb · outbound

This paper cites and Wagner, F.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Wagner, F

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:30.635430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5dfda884-334c-4ab3-9c3d-874f38a16b19 · outbound

This paper cites ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:20.699274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9955df-efbc-41bd-a2b9-4e2172e58791 · outbound

This paper cites and Joachims, T.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Joachims, T

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:30.494037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e377a09-7e10-4d02-96f3-794e1918f472 · outbound

This paper cites Bounded, efficient and doubly robust estimation with inverse weighting.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Bounded, efficient and doubly robust estimation with inverse weighting

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:30.341077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5790168-93a0-4164-a4d2-b9f1ff0f3482 · outbound

This paper cites A deep value-network based approach for multi-driver order dispatching.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach A deep value-network based approach for multi-driver order dispatching

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:30.196857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eae05fdc-4739-439a-ba48-db7228de3252 · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:06:30.069193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8afddd79-2669-495d-9765-1e4a49e3c39f · outbound

This paper cites and Brunskill, E.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Brunskill, E

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:29.910171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b46411a3-e731-4afa-900a-b86b4a00c733 · outbound

This paper cites High-confidence off-policy evaluation.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach High-confidence off-policy evaluation

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:29.699027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 438a5c9b-c90f-4395-a8b0-ba39923db2c7 · outbound

This paper cites Graph cluster randomization: Network exposure to multiple universes.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Graph cluster randomization: Network exposure to multiple universes

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:29.479488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a362eba-8534-4c64-8318-aada2b3374ec · outbound

This paper cites J., Vandenbroucke, J.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach J., Vandenbroucke, J

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:29.261989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5bfcddb-1080-4281-8b91-31893ea3681c · outbound

This paper cites and Raudenbush, S.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach and Raudenbush, S

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:06:29.077429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f09aa346-61c1-4535-82ba-d622309fe22a · outbound

This paper cites Causal clustering: design of cluster experiments under network interference.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Causal clustering: design of cluster experiments under network interference

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:21.541832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ac020f-4ba4-48c5-a0c5-30fae6385122 · outbound

This paper cites Experimenting in Equilibrium.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Experimenting in Equilibrium

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:06:24.609680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bf7e801-87b0-4404-b9bb-0c647251e8b5 · outbound

This paper cites Safe exploration for efficient policy evaluation and comparison.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Safe exploration for efficient policy evaluation and comparison

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:21.760636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b84ba84-9dce-4a4d-b31e-74678a8611ed · outbound

This paper cites an unresolved cited work.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:06:28.856678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b000edb9-d301-4295-8ae1-d5d93011c8c4 · outbound

This paper cites Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity.

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:06:24.492146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation c109b044-cfa1-4424-956a-cfbbca836f7a · inbound

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions cites this paper.

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:11.986788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7524d09-b51d-46fb-98fb-06246fcc7039 · inbound

Robust Sequential Experimental Design for A/B Testing cites this paper.

Robust Sequential Experimental Design for A/B Testing Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:50.659992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.