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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

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source=arxiv_source observed=2026-08-07T14:06:13.331584Z digest=sha256:e615415a74c163693ebbb2101b0c1e776ff6b85c70088fc7f57123f1845060cb

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

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source=arxiv_source observed=2026-08-07T14:06:13.379582Z digest=sha256:956cf6171c59276915f5d83d88fa5f0a0968c587fbb58cd3f6e15231cebffb38

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

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source=arxiv_source observed=2026-08-07T14:06:13.424222Z digest=sha256:da84f23394296f5fbcb18b1b4c5eca330d4678eb5dfd03b27af3b58a75615019

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

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source=arxiv_source observed=2026-08-07T14:06:13.493182Z digest=sha256:09b99beb4b1fe4a816f9af7677a53db5765effc03e6e9db092f6a65ee4ad56dd

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

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source=arxiv_source observed=2026-08-07T14:06:13.542363Z digest=sha256:4ab2ec71322ec6aa21043f0f545b80537c26a51932beb362df637cbbe5481466

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

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source=arxiv_source observed=2026-08-07T14:06:13.627727Z digest=sha256:b62359324b0bfc949a2311668c3f6ae1ab63770a656e693a2e04edcfaa3159a4

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

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source=arxiv_source observed=2026-08-07T14:06:13.712613Z digest=sha256:dfc812b57cd07e69158a7470ec2fa65598209004271db1398782cf7545d4ac76

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

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source=arxiv_source observed=2026-08-07T14:06:13.781019Z digest=sha256:5191fbde77d724b6b0a88da9a47bff354084a116fde1c54282d9c276e27874c2

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

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source=arxiv_source observed=2026-08-07T14:06:13.834402Z digest=sha256:9d9c66b34078c631b524d502e4d1d05a6da4448e217331527119db8903595026

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

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source=arxiv_source observed=2026-08-07T14:06:13.912627Z digest=sha256:89c253f7c270459a9945cf884297612bd42f29015d0b54342908de144407bf1d

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

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source=arxiv_source observed=2026-08-07T14:06:13.972274Z digest=sha256:f4d8ff90d7b260e689e51f89eaa48957d84707d14fe8d20d966b19e84d14dcef

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

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source=arxiv_source observed=2026-08-07T14:06:14.011258Z digest=sha256:35420f1492c7597d867ecccefa3110af6fdd1eaaf19f4a6fad2d4b23a73a4a51

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

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source=arxiv_source observed=2026-08-07T14:06:14.078006Z digest=sha256:bb151b063d15cd50ab90132f52b75406d806558d6706dbecabc78a900e099350

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

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source=arxiv_source observed=2026-08-07T14:06:14.156737Z digest=sha256:63e58a9440a5a1eb1daa3bc25d4cf886c862d8e448275236eb6e17c3095bf1cf

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

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source=arxiv_source observed=2026-08-07T14:06:14.228541Z digest=sha256:d541e448118c84b6f89b3c8c7a2a14ae23c1cbac5ddc6185e7c42c68784163a7

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

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source=arxiv_source observed=2026-08-07T14:06:14.276525Z digest=sha256:47d90635ca754fa2fca184d634aeab0d358b6446811a312929e1fc47949a68d6

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

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source=arxiv_source observed=2026-08-07T14:06:14.350665Z digest=sha256:328005c16f22e2bf5220f51d9eaec76becc630d1dd1898d243ce58223c511d21

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

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source=arxiv_source observed=2026-08-07T14:06:14.422452Z digest=sha256:9ffc191f95a0afae286fb6c385f143bd2981c8a432d2d7d639cc44d1d379a237

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

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source=arxiv_source observed=2026-08-07T14:06:14.494625Z digest=sha256:ffe3fdfa4dd3e2ed0b1262fa2713ed63089e9e501788c639b55e27e3b41c283a

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

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source=arxiv_source observed=2026-08-07T14:06:14.564023Z digest=sha256:5fc78612ce64653f855e2b0bec3d0401f6bf0fd2f11f7d684053c79e2798bf22

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

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source=arxiv_source observed=2026-08-07T14:06:14.638177Z digest=sha256:c1752f74fc03f2bcc11a3b02f610694db483cdd6e7cebd5ef70f88a692d4b75e

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

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source=arxiv_source observed=2026-08-07T14:06:14.710109Z digest=sha256:f5edd1d58c5e9062f0fa4a3294928ea3d494e3b41e9c1e404d020696bf8dac27

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

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source=arxiv_source observed=2026-08-07T14:06:14.786135Z digest=sha256:c20e4e35d9e5fd5b916e88cd0635d7c97134be8be240ad09589e600d577fbf63

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

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source=arxiv_source observed=2026-08-07T14:06:14.846013Z digest=sha256:51936d4c8be99a0516b122b19834d226c6336b26f5e8d9d3cd4e878c3f3d1d39

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

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source=arxiv_source observed=2026-08-07T14:06:14.905805Z digest=sha256:9c40be568c4e0eee40a7f0adc74e91af10438595a66797ca87cc9a828bb0f6f4

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

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source=arxiv_source observed=2026-08-07T14:06:14.979545Z digest=sha256:4a3233f9a11833cd9808480f39f21815fe6e3294b39f994091181f12a43c6023

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

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source=arxiv_source observed=2026-08-07T14:06:15.060820Z digest=sha256:80b98c614fc9e244abc74f1acb1e2d006d3a5898caeb25180df33da6d27a97f7

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

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source=arxiv_source observed=2026-08-07T14:06:15.122199Z digest=sha256:9d9419ae56251ed59532238eb537ff9043a7a4e6193b62a6f1d558de0b75beea

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

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source=arxiv_source observed=2026-08-07T14:06:15.215640Z digest=sha256:0fe44461651b927a661abab9baa8140d8f4357ab6089ce00634d62fc22da0233

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

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source=arxiv_source observed=2026-08-07T14:06:15.330151Z digest=sha256:eef2e04ba9c00aadb6ec41a9afc46070656bf7e53c4dde0edfdb5c22aefa3043

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

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source=arxiv_source observed=2026-08-07T14:06:15.445983Z digest=sha256:a5304785cd0fa999949493c372adec52a7b9501817a14663e718e4f0a941a467

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

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source=arxiv_source observed=2026-08-07T14:06:15.571336Z digest=sha256:7b6317398d3e58ab828d995e8ca0b813217e8d3ddcd5c706b602b6fb537f8863

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

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source=arxiv_source observed=2026-08-07T14:06:15.731461Z digest=sha256:1741d16f9e55117e097d93d155d89c317cd226d1b572f312703fdb1f96f61900

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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source=arxiv_source observed=2026-08-07T14:06:15.878389Z digest=sha256:273108f2ae49f967c99a9b86dfe488c6b4b7087cc9aabf199ee645dbd51c9226

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

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source=arxiv_source observed=2026-08-07T14:06:15.998087Z digest=sha256:ee61e9ff0926cd8f906221a1d50a74ffacf70133998efbc7c183c3758082e476

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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source=arxiv_source observed=2026-08-07T14:06:16.178774Z digest=sha256:39ae5142c59d8e50d713e69629fe1b7a8365fea9a3bf1ba27e9103c13d29da64

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

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source=arxiv_source observed=2026-08-07T14:06:16.329431Z digest=sha256:4482a5a9c8134c6506df80298c74758f34dbd5409531495f1e4307b8c2d4a8be

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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source=arxiv_source observed=2026-08-07T14:06:16.494002Z digest=sha256:26d53f8273bd0e8d9a687d335227029536136d127c8421fd2c3ed3af9b862e1c

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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no resolver link, observed 2026-08-07T14:06:16.575320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:16.575320Z digest=sha256:6eb1eea26acc5901025e22d56db2c3d5eb49b1cf308542333fa4db8c3572ea9c

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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no resolver link, observed 2026-08-07T14:06:16.643251Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:16.643251Z digest=sha256:09068427c4d278c248c78f737ec53c77e75dcefc5c25ad24414430a4bc8b8f60

Observation b05d37c8-8f09-482b-8992-c38eee7d7c78 · 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 41

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no resolver link, observed 2026-08-07T14:06:16.710527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:16.710527Z digest=sha256:0f9ae35e8b89082f8f89f90dddd92d03bc6ee8b944b443b2ab01ce0ebd971c82

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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no resolver link, observed 2026-08-07T14:06:16.785240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:16.785240Z digest=sha256:5f89a1bd3cd2e9a8fd4c32bf7ea56ce038db24b194140f52a41b567d54ce0dcb

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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no resolver link, observed 2026-08-07T14:06:16.851604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:16.851604Z digest=sha256:312411045275b3c8391810a6eda09d6b55406004f4392f4c62e14d03344d92e0

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:06:26.021220Z

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=2026-08-07T14:06:16.914465Z digest=sha256:0c91824c50b2fa7b4d8ad216c27bdd37472d042893f788254e8856d2cec5c78a

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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unresolved
no resolver link, observed 2026-08-07T14:06:16.985782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:16.985782Z digest=sha256:5548a2d3fb03ce2ee9f8b769428af202623321ee752d72d15014054272fdc8ca

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

This paper cites Causal Inference under Network Interference Using a Mixture of Randomized Experiments.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:17.069161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.069161Z digest=sha256:543a38bf5402135a8ffe381ae5dbc17bb3b957a688d064ba5a478cbbc71aa7b8

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:06:25.781083Z

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=2026-08-07T14:06:17.155604Z digest=sha256:ccb482ba672355fc70c5238e23e967dc69c38c428aec7f1fd048d9b98a11c0d9

Observation ca60dae1-49f3-46d6-bf56-a147b74ee227 · outbound

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:06:25.390537Z

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=2026-08-07T14:06:17.243087Z digest=sha256:ba25b028df07e524e1f11797706ff292681a5ab9d0648677e00bfc4ce4897c9b

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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no resolver link, observed 2026-08-07T14:06:17.329420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.329420Z digest=sha256:89a17f51019a6a6c1eeab9ce8db5890d9ad24f8ab9b0b40db683a5e0c43c56d6

Observation 61297f98-f8c6-4000-8421-e9a2e0a8a8eb · outbound

This paper cites Optimal a priori balance in the design of controlled experiments.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:17.418890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.418890Z digest=sha256:f8cd443d09306f58335e22106537de4124042b03bb90f7ff2011f66ff79390ee

Observation c19c6053-b4f4-4dea-982b-9e502250381c · outbound

This paper cites and Uehara, M.

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

Reference 51

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no resolver link, observed 2026-08-07T14:06:17.509918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.509918Z digest=sha256:9669600dbe896ba5e8748affdd980e2c2a938bc37514a1728f7fc52f383eee71

Observation 22666402-5a79-47d0-994c-a643d8bac5e7 · outbound

This paper cites Network experimentation at scale.

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

Reference 52

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unresolved
no resolver link, observed 2026-08-07T14:06:17.596553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.596553Z digest=sha256:eb5aba9e34203fd1b93b0e122ec2e5f50fcf209f8156f6349dfeb3f58b9593a7

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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unresolved
no resolver link, observed 2026-08-07T14:06:17.684955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.684955Z digest=sha256:4d54675710f2a8ee444b860306a5242095e15cac4421bec2e3ed5cfe29d1f764

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

This paper cites The handbook of urban morphology.

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

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:17.773683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.773683Z digest=sha256:e40b53190ba80c28df8795ede8424ed1acd13fbd3e39e9ef06ff82cd1a225329

Observation 3bcf1a90-92ae-4d9b-9246-cc530f083f65 · outbound

This paper cites Confident off-policy evaluation and selection through self-normalized importance weighting.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:06:35.041818Z

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=2026-08-07T14:06:17.856654Z digest=sha256:68009c214c6457666f29e6882415d872b14fd50e0e3333f0f07952d63fce129a

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

This paper cites Batch policy learning under constraints.

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

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:17.949493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:06:17.949493Z digest=sha256:dc7194cd4f14f5d19ca84a243c934560c2b4d7df246998c194aa8265bbd100d0

Observation 6539d5fc-d8f8-46bf-b9ff-3963a656c52d · 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 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:06:34.867870Z

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=2026-08-07T14:06:18.038254Z digest=sha256:ff44be0ef0f4ef02efbf28ef9582ccfb54f633466973f193e624f49f8fd559bd

Observation f8b3f08a-bc26-4315-b49f-0e943a307d40 · 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 58

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:06:25.056450Z

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=2026-08-07T14:06:18.083091Z digest=sha256:86af14ded0677d33eda285491d4e1c92caab43d332394d67906c88d5b984db44

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

source=arxiv_source observed=2026-08-07T14:06:18.151468Z digest=sha256:6005b980f17b43864c07ba7fd95dbd6775adbe8a9dd9b69298c5f309a819b022

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

source=arxiv_source observed=2026-08-07T14:06:18.254108Z digest=sha256:f3e9e03d80d445feb9916e9a9bde92fed2df93fc3b96a08fac63d42a2e8a8cec

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

source=arxiv_source observed=2026-08-07T14:06:18.333949Z digest=sha256:af4004fd6e0618d1b146312ef5347c8bb7837f0606c7addc36ffb7b229bbcc8a

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

source=arxiv_source observed=2026-08-07T14:06:18.420284Z digest=sha256:f0aecb0616d7c58af5cdd4d22fe7a0fba372c10a236a7e79a30feef71e0eec33

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

source=arxiv_source observed=2026-08-07T14:06:18.511128Z digest=sha256:020444e05f52073b7f1d752c8ac798ad2f42265187fce8fdc2c8ecf413d5d3b5

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

source=arxiv_source observed=2026-08-07T14:06:18.603908Z digest=sha256:92add46a79a15c1423f9ea675ffd41f9b7065113c934bede8678ace4dbd9ea19

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.

source=arxiv_source observed=2026-08-07T14:06:18.733057Z digest=sha256:02c6968fa060eb700d8bd96aa6e2d0a229bcbe279b35250acd2d417d6deb6727

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

source=arxiv_source observed=2026-08-07T14:06:18.803318Z digest=sha256:ef99a0976a4ef5db4a4e6aedbed6ca230c227b2224eaa80627199a00e0b0fa5d

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

source=arxiv_source observed=2026-08-07T14:06:18.891945Z digest=sha256:5fca98736067228908a05fc85c269e0c75c19c00e81a3f0a891e8620cbdf42eb

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

source=arxiv_source observed=2026-08-07T14:06:18.992000Z digest=sha256:1ead73acdf085293551fc0dd845ed96e979c77402b84efce44a3ffd6f4703e11

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

source=arxiv_source observed=2026-08-07T14:06:19.115692Z digest=sha256:959c381f3402027b49ccc104f416a2f8acfd5efcf61637e1285300db387a1afe

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

source=arxiv_source observed=2026-08-07T14:06:19.192850Z digest=sha256:653afdac786c78820a436b18c7308e6c7a11c2a292a89b0ca39cd7263117f065

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.

source=arxiv_source observed=2026-08-07T14:06:19.278039Z digest=sha256:a09cc9ab7b21308f6c7a5bfdf249fb4c654725bb4e318fbe1569164904777746

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

source=arxiv_source observed=2026-08-07T14:06:19.355799Z digest=sha256:b97382753579edaf7e193a3673b3213745d7a126087061ea4eef622e117b4c77

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

source=arxiv_source observed=2026-08-07T14:06:19.444717Z digest=sha256:c2d0bacbf7d85931d86053db477ae3d764ac78bd3aa8f8696bf2ae1173f2768d

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

source=arxiv_source observed=2026-08-07T14:06:19.513149Z digest=sha256:f3d07e2d7e53fa0bd6715466d5efd6968c6fa559446055a067efad05d50715f3

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

source=arxiv_source observed=2026-08-07T14:06:19.597328Z digest=sha256:69ef787273bef96e0a7545abd4c2061b0b29f9f1b77c6d72bae368845940ed23

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

source=arxiv_source observed=2026-08-07T14:06:19.666858Z digest=sha256:24ecb32fff190bd28cb2e2f442318debbfbdc0f45139ff1c2614d7fe8d1a92b1

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

source=arxiv_source observed=2026-08-07T14:06:19.789031Z digest=sha256:b1e87f89db188fb8f03208e878bed585cfecd819c735f153c282ee76755dcd7f

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.

source=arxiv_source observed=2026-08-07T14:06:19.890631Z digest=sha256:fac68d3ca1e521e388ca334967ec79f27051f9be26f0cda7f6b63ea35354bb8b

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

source=arxiv_source observed=2026-08-07T14:06:19.989482Z digest=sha256:31b83aaecdb569fbf83b20f3d1666bc7f71a03f6b25952e8bc8dc34b69de96ef

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

source=arxiv_source observed=2026-08-07T14:06:20.092030Z digest=sha256:2bd26ad9910a7aae3bf0a493338b3ad94e077c7680a2109ee7f3e1c029e398c7

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

source=arxiv_source observed=2026-08-07T14:06:20.191254Z digest=sha256:24214d80776fde455d4a4916444b5a16bd1cd85004a165612349a7e0a5388097

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.

source=arxiv_source observed=2026-08-07T14:06:20.287441Z digest=sha256:dd7b122c49c143b93a10997017e9afdc1b4151d19808d9ce196ca0a276291bf2

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

source=arxiv_source observed=2026-08-07T14:06:20.387518Z digest=sha256:656b184d6d85b22c73461aa4b8c29322057eb0dafba0dff1961f49424cf4cbc8

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

source=arxiv_source observed=2026-08-07T14:06:20.482202Z digest=sha256:6c3f3ed34b24e3caaa55ba7f2f1a9ae227d10622dceeee719ccd48928b5e548a

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

source=arxiv_source observed=2026-08-07T14:06:20.582263Z digest=sha256:de30ccdd597ff6851bd472e78bde6e49d8abf9974a62240643adbebbc3540ab2

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.

source=arxiv_source observed=2026-08-07T14:06:20.699274Z digest=sha256:5ba31a2604a2f4fe75d596649a4f529968a5f51b19ed3da51a3ffbb41d458982

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

source=arxiv_source observed=2026-08-07T14:06:20.760794Z digest=sha256:482f1c914216328997d342c65f6fe4306f5511d571ec99ce00fb9f2ee7abee93

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

source=arxiv_source observed=2026-08-07T14:06:20.825535Z digest=sha256:a56f23230251d51cf18ef727206a3833dead3d6ea3e242d8cb3c120f8e0c7201

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

source=arxiv_source observed=2026-08-07T14:06:20.934968Z digest=sha256:196bc05af140a55e9addd8659bb8c8ad2d305a51f608533fe017d239a873522c

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

source=arxiv_source observed=2026-08-07T14:06:21.035552Z digest=sha256:fe7aa7c6aac3a99c80980599bd6a97913429bee5693944fc01b3d0724d67c462

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

source=arxiv_source observed=2026-08-07T14:06:21.094774Z digest=sha256:0bc0ade7ecac25710398e5e7c7c6b30263cbb051c7ea764f3cb9875499e0b641

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

source=arxiv_source observed=2026-08-07T14:06:21.205635Z digest=sha256:913d4fd716ee17a867280a35c350026e834a4c3c8677c93c9cf6eb1afd126d5a

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

source=arxiv_source observed=2026-08-07T14:06:21.284117Z digest=sha256:06514589be5df07330e09c0d96e5380c2a37691783271a715d2a046faa6304b8

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

source=arxiv_source observed=2026-08-07T14:06:21.391472Z digest=sha256:7dada4ba3b85d13404832003433c4ef8982b9d981d91d9b498c8fec7d0a3669c

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

source=arxiv_source observed=2026-08-07T14:06:21.482994Z digest=sha256:696778539489866a8125fc8183f0208026615bd65fee082ec24d7e0cb98ff0da

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.

source=arxiv_source observed=2026-08-07T14:06:21.541832Z digest=sha256:19c1d21e6fd9053cb30652ff45109ed0e1eb43d4718f1b206c81e80c009f12f9

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

source=arxiv_source observed=2026-08-07T14:06:21.631487Z digest=sha256:4ce1f8b5071d74e1898ce128fee5d23e80e4bafed1f5c2856e56b69fb22d162d

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.

source=arxiv_source observed=2026-08-07T14:06:21.760636Z digest=sha256:2335752adf1d480d27cc19356010c0e2c4c8d1b6d06f89b8b107d30d88b6bc6b

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

source=arxiv_source observed=2026-08-07T14:06:21.841096Z digest=sha256:6ccc3fab217373f0a9331b5887b404137a5f03116839e1c47e444cfecd1c577d

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

source=arxiv_source observed=2026-08-07T14:06:21.912613Z digest=sha256:b5d70f6c143c924599ddeb0eb07a6c77531553da261944a7f89959ec31e3f1ea

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

source=pdf_text observed=2026-05-08T14:18:19.330577Z digest=sha256:96225529df561d85695dcd28e8edb5c532e880c02746bd15942da600e88e0beb

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

source=pdf_text observed=2026-05-14T19:15:15.716767Z digest=sha256:3f98da4d235a8849f81ac8d5ff40dbd3142baad8bdcc6b68d8a9b0292b68f506