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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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:bf7034648017882501dbaff7363c1ed934c07df58666510189ec779705c47e1f

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=sha256:43fecda572eb0476288ada651b492d858cadb17a54c4c06042f25b984e6a235c

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:f424686b42dddd26a4e430a54311578de2f6c203ebb19ec3aa95211416323649

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:f01c63bbca153bdbdfa5b6886c713513c68f472e00e7777e617cc303a167f989

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:c2a23854ea2ad01519f80a25c1ad6aff29a24f1c40b37ab426e1af876ef91592

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=sha256:0ef04ab84edcfe13a7fec08d1e5417553cca93ebef47700d598b0946b02a7743

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:e2a8b79016683ddaf9d10e05c60b89090349b2037874ea286ce9ef09876a6eeb

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=sha256:320f9431f0b70f0af9ac97f8a861ca3d9ffb2451b0157afc8e250015c5d604c4

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:b5ef34888b3798505fa87761eb75ee296b89195d9e6ab06bef18bf6101680330

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=sha256:99d97191511b921a1fc583b48337380b7ff4d88020649e8e805e4a6a3e44889e

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=sha256:0a619225ac887e96594c308e551af264a38c9626e3bbe535891f31b23d91b43f

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=sha256:1c298233982f55cb91bcc688b5c06bd8089aaefec8726e3657867f8a28af5de7

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:f66a6daa45cf11e897d31718effcda751e2d774458c721daf073e4898ddad077

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:f1991f6bcf68117157ecd2a553424eac470e78ce6461d918b09f440d5e5fad79

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=sha256:0e4dc6ac4c5ee3dad95a6e4a6694752999652773b09f2265b8ba4a5468fe7fc4

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:a6eaf733cbc3232fa43c3eaedccdad460f0f559fb4e83cb79695b68aac7169a6

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=sha256:27464dae7d1041ac013e5954133a9d8bf8ac8278b1993440bf51b5bbed7bc8b5

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=sha256:133fe77f26f5e6e9b6e96eab3a75293b25af72e406fedb5caa3c8454ad6ba669

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=sha256:3efa9b35d58cef547d747d253b0c22986ba46fcbc40042147608f935e4586217

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:c4498204ceea88a1e4dfff825e052aa5c9d89615f31d1de47c9c705e853e5c64

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=sha256:3ce125884b2c97234bf4e634211c6e3a1e204dbb6ee8d61a7af2c7d2825bea4d

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:aa483b705528f82201931b9fa99c03525472a463f78284403afc7e21a4d1744a

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=sha256:3f1a8e8f2edca0f0ca131d7a2e244570bc088006971948d4082e06e9e2796f8b

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:eee00eb9f8eb1ae7de42db4c79bb09700824271bb20c8de7cebd411bd7e28ad3

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=sha256:0fc03a2906a8e8b9cac6e864b8e5dae6961799587f28e3e65c38b63c40df6ef3

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:fffc0b80c7c5111972222077f749896cecfa5d1b415af5ea6cf91d5434b526aa

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=sha256:7ba5d3935e7aeff881208e4070f484534f917bce47c31280e78dff0545ed8a71

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=sha256:694418aaab630883a2db7f7c5e1cabf0e4d298769060ed033e7eb79e9da5d003

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=sha256:786b8be06629f189e8c013458581796587541d4df4dbffeae871f58c5aa3bdf6

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=sha256:4f024c45cde06c49dd7472a401ef675f94267d397e1965f91d9d616833b704fa

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=sha256:43f4d8ca388038264ca0cca1d3faeaf8522eac3004985a73765336a99cf8b44b

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:f700235171ce9a1ea88d7301d7eae3d95ee4f22dca9b571646e33d60c85e1412

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:ccce5332ad63de515b8eebff330a0027641d40b667a83895176b8ddd8c2b4205

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=sha256:6d5b6e900d915a93d9aa1d563945cbd119a23c7f288e1c2b908567297baa9a10

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=sha256:4276f754fbb43d6d420e261a71a0697c55c02eef141521120cbaeb70a0405c8d

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=sha256:59fe67dbe53416d6a8483ca4193c021eb40fcf7d9d05a1b1809b371b84b93484

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:b2796b1154d23721c97d9d0da51cb0959ae30a96eaf3396f0217d6dcaa66a986

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:a76372d6af2aab83ff7bb04def72b4198f51970a36e5d638dac4f23969077503

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:da1fee5f30da45b0361e6747898f1e26e9200e9e5c512ee07c5abcbcb5cf87ad

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=sha256:097d90ba6849ffb416183fffc3842c94dc543c5ea68fbf9c2f10c52a9653cfd6

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:e8a81b29e26575f0d953e1e311424a6005a1b163d54378b5dca33cdd2030c687

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=sha256:38304154ad3161d1bed65efe65071d3f1424e3cf331df296c26f6e6a509cccf4

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:e6deae75d78b1288096386bbbd2006eb799491b6a01c4b9b4e048b028e3dd323

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:16.914465Z digest=sha256:2ea02e49f51abb45a454e37e9aa1a8f754512cdb7c11b53fc9a688294826ce8b

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

Resolution
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=sha256:1a8234656d2541d5746b1328cce8513190a30732bd65a641a73ef30c631d1d25

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:d62b7da226fec89a9d68e3a565acb3b0a5698bba6a54e981b75179f37367b31e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:17.155604Z digest=sha256:6311002843833543f56c46aba592881fa45f12d89e891d4c1f2bc8bace81ade2

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:17.243087Z digest=sha256:669396470fb0740ca4a49943a5927aa5df6f053da9817e9fb7ad56a6534e68c9

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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unresolved
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=sha256:4e48cf414866213ac06bfb76874ff124bc254e2846141030d6216d4a7c90cd0f

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

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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=sha256:56f10b99b79e67a120e22051ebc62b4f512e8bd7d58b8affbbe48e3b10f52048

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:b3a3479d8a8138030ed307b7b88d8a712d10735f8e5bc88a21e7edaafa842ba3

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

Resolution
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:abb57d4ec272e3037bf42284b93cee1daec3e9861b933e07150d8c66a45be65e

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=sha256:199a616e39baa46cc839b31ba874912b55c16973024cbc3953e7b4406cfc1974

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=sha256:2107324f9f57a7365d0146706da86476fe232923ef783dfb1e3a640f547d7dd6

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:17.856654Z digest=sha256:d94755e67d2bd0f440aaf18383ac33ef118c6f83ecf8665efcb3a31ed3aafbec

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:ecc0982435195b94ed7badfa672b7e52cda910e62053803fbcc4956d85c7e306

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.038254Z digest=sha256:e0d3a425b64de6a97401647e337bbdcb5fb288aa3e6ed7d1c237d27d1bbbc783

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.083091Z digest=sha256:7fef8197978f390da4d887e3e82e3a7d955968ebb0480dee179bea9e33c1cbee

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.151468Z digest=sha256:b95876399b061a7c2fe31e176ee60c830af55cf20eb842f9d14ce572cfac49ad

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.254108Z digest=sha256:0139ae3383e7f2794d4026cdb797e1361a4bd08b3956ce32e5f38d698a669a44

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.333949Z digest=sha256:5ea5cea30ee586e915fb5447617061ae5fa75063483dfa16ebcdc507251630f8

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.420284Z digest=sha256:df8b8522ef56053755594307377651cb020539a3c91d448623ac1ed8054d9003

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.511128Z digest=sha256:3a9d99e81c9aa2b8870ca214ef767cb5f217c49c02587f6d91ac4bd6b2298582

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.603908Z digest=sha256:a11c44b4293b4021de43290e88f30557483ddbb7bb31c187a66d31ee7b665d1e

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=sha256:62a0fc891b18dfc52db5469e915916aa1f5e1f38e2920c7a1e28a1f159cb752b

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.803318Z digest=sha256:5dc17012779bf9d4aa6a6c34eb382e9babd0d4e459f0e2182d3cd08e6947ed24

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.891945Z digest=sha256:e3f6bb4946fb8da995060bc40019bcdc63a7a95256c33f2cbce5d6b035fe43e4

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:18.992000Z digest=sha256:4b3905b391325490db969733f877aee9fa8147e5581e69f8407783702a02595b

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.115692Z digest=sha256:90f1b1a9b8ae39bda0cf141971ffd5e8f8d137779989abf0a7c53e9b172af6bd

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.192850Z digest=sha256:2e1e62624777b9aab6cf6d1c690204bdc9b68a64a72d183dbb1db743e19060ba

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=sha256:4056bfd223c8d20b2aafd544c0345f8a563c4923ee0ff947c504bf2802d862be

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.355799Z digest=sha256:6f27d8b1640809b70e310fe579b7aff1d2c96bd6a1a01408b455a2cc83ca203e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.444717Z digest=sha256:007b4204241ec14e80dce63609d88e2b571e442086c484d02b937af47a5a899f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.513149Z digest=sha256:fe754d4aaec4649fcd82e97708f9e5e1f75c817829edd15f3889d336898aea24

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.597328Z digest=sha256:acc6cb671e4e02dd3a28dfe1205d529cfffd79f760e120fd2c6639082d39ee30

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.666858Z digest=sha256:f5cea5021dd5347212021fe0c64c401778bd51ba186977fa60c1aefabfed2ee6

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.789031Z digest=sha256:0e2d47067ead3faf7711cd5e2e1411f8c4abc7b82495a49ad6cea854f0c0d06a

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=sha256:81dbab9fabab286721f60fed8dde1336995595d230047d0121f28a8c8b7b783e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:19.989482Z digest=sha256:9d413738ea5991c41587dae1db675471afd5b9010be253e7132f650d9358e483

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.092030Z digest=sha256:73bb949a6670525990b40fcf2954671fc5506266e614cbbaf4f9b736f88d6c1e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.191254Z digest=sha256:dd0425bb38a1105c79d2d7296aa123048ca6d4c144f0f60c150ee742349dc41b

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=sha256:8756a3826344c3b6c311495247fb84150db3d42c653492e41e4659c4b5545741

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.387518Z digest=sha256:317a205e6f2b384f6c211a6af5705b2e5348dab0507abaadf663f38b11b05f91

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.482202Z digest=sha256:9b26a5cc40220a47df04b7f716e9d7974b23149ea4b3653f0f39d50c884a6b48

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.582263Z digest=sha256:293de891652ce95699016937f630c21a29c9fd7b226867ad2a46633d75002025

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=sha256:6c3a72541664dfd854a87573e004bc01de3fec21353b550638a112711f939838

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.760794Z digest=sha256:a66b8b5c9c74d4b9767de7fcd3844d3f1954610a6eef2987d4c970a974108f46

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.825535Z digest=sha256:3a242a0bdad3d696654b913833566b7d876acd53a98f706060535b793f0c5f5b

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:20.934968Z digest=sha256:708664f6a9b18dade187f4ad08cd418d64fafd8ca356f440b0bc26e5acdc7509

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.035552Z digest=sha256:d55f9cd4ea04df5f4c6a95f238bef1bf8a16f960e2f5aa1c8cc4d0754fd604a0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.094774Z digest=sha256:23bd7195d73856ac6bac06555fb4be668daded858668129499fcf24ea37ff3da

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.205635Z digest=sha256:325926b55e62b5f9745b574eabe9936db2a025263d66762f4d8d17070c568197

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.284117Z digest=sha256:850106f1f8899b60271815062cb110e968b4de6e0042eefbc4bc560081262b51

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.391472Z digest=sha256:1bb86fa2f9f513a1af23122aaa9353672306eb637b2318f3386267ec8edfa857

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.482994Z digest=sha256:b1247126eccc384bd5a9b40e1f3014158a78e0c0fca28ade06529519e1f0f1c2

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:dbb5b5886607b98fe13adcbfcf3e840cd7a21fef669e6332802083d0ef405c3f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.631487Z digest=sha256:cb4e63bd2987fe0dcbcb147d2407e2984e0381522d6cc3b9146cbb43fae76538

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=sha256:2221baf20195f5f7b4feb61fc826b79e27df8101720ca882b59184f94527638d

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.841096Z digest=sha256:209ec1d10dd99eea5e11227fda04ee47e25117aaf559285a27c50724484f562b

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T14:06:21.912613Z digest=sha256:1574f0429f0cde232aa6c99073bcf44ca8bff126042fa7661074122858469b98

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T14:18:19.330577Z digest=sha256:79cb9a1dc427632f71c7c3f06712ff2ebeb6b64f606fe8a26c6ad7f558989e71

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T19:15:15.716767Z digest=sha256:673d522d9df09eed6b92c12e79d8a2d365c151774b0e96707db25266ce0db8cb