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Paper Citation Record · LEDGER

Robust Signal Maximization in Spillover Experiments

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.18601.

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pith.paper-citation-record.v1
2607.18601 v2

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measured 21 of 21 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T15:02:14.384282Z

measured 21 of 21 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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Reference resolution

21 of 21 outbound references displayed

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Outbound references

Observation 3deabf19-0a15-4441-97bb-e53744728866 · outbound

This paper cites Optimal inference in a class of regression mod- els,.

Robust Signal Maximization in Spillover Experiments Optimal inference in a class of regression mod- els,

Reference 1

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source=pdf_text observed=2026-08-01T15:02:12.732204Z digest=sha256:630fdaac5b9b1d4d0819de48060a43a6c1c170c06e88740a4a07ce98add93fcf

Observation 7a3b4f63-fb08-47b7-9530-46571359882c · outbound

This paper cites Since ¯Σ1/2 ℓ 2 2 = tr( ¯Σℓ) = 1 4 and ¯Wℓ 2p 2p = tr ( ¯W ′ ℓ ¯Wℓ)p = tr(M p ℓ ), it follows that tr (W ΣW ′)p/(p+1) 4−p/(p+1) tr(M p ℓ )1/(p+1).

Robust Signal Maximization in Spillover Experiments Since ¯Σ1/2 ℓ 2 2 = tr( ¯Σℓ) = 1 4 and ¯Wℓ 2p 2p = tr ( ¯W ′ ℓ ¯Wℓ)p = tr(M p ℓ ), it follows that tr (W ΣW ′)p/(p+1) 4−p/(p+1) tr(M p ℓ )1/(p+1)

Reference 4

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Observation faedb38b-c6d2-45ed-97ec-2d85d98a652c · outbound

This paper cites Normal approximation under local dependence,.

Robust Signal Maximization in Spillover Experiments Normal approximation under local dependence,

Reference 5

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Observation e130e89e-846c-496b-9032-cb1cf68d5bff · outbound

This paper cites General equilibrium effects of cash transfers: experimental evidence from Kenya,.

Robust Signal Maximization in Spillover Experiments General equilibrium effects of cash transfers: experimental evidence from Kenya,

Reference 6

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Observation 007d1391-e20f-432f-89e6-f520d1fc6c2b · outbound

This paper cites Furthermore, Slater’s condition holds since the point ¯ℓ = 1/K 1K is strictly feasible.

Robust Signal Maximization in Spillover Experiments Furthermore, Slater’s condition holds since the point ¯ℓ = 1/K 1K is strictly feasible

Reference 8

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Observation 815b91c9-75d4-43d6-8675-747e5e06db41 · outbound

This paper cites Experimental Design under Network Interference,.

Robust Signal Maximization in Spillover Experiments Experimental Design under Network Interference,

Reference 9

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Observation 8c43c0eb-12a9-41a8-b26e-85deb60b07d6 · outbound

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

Robust Signal Maximization in Spillover Experiments Causal clustering: design of cluster experiments under network interference

Reference 10

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Observation f0d498cd-eba3-46ee-b98a-0f5962fa3a74 · outbound

This paper cites By the definition of the Schatten norm, kVSV ′kq = kHH ′kq = kHk2 2q while tr (VS ) = tr HS 1/2.

Robust Signal Maximization in Spillover Experiments By the definition of the Schatten norm, kVSV ′kq = kHH ′kq = kHk2 2q while tr (VS ) = tr HS 1/2

Reference 11

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Observation b2a48bf7-5b14-451a-9fa2-73d5486de26a · outbound

This paper cites Now symmetrize: δsym = 1 2δ + 1 2δc.

Robust Signal Maximization in Spillover Experiments Now symmetrize: δsym = 1 2δ + 1 2δc

Reference 12

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Observation a50c43b7-b461-460d-8014-ad73c3bb5128 · outbound

This paper cites Let s 2 Rm , where m = minfN,d g, and define fr(s) = mP j=1 jsjjr.

Robust Signal Maximization in Spillover Experiments Let s 2 Rm , where m = minfN,d g, and define fr(s) = mP j=1 jsjjr

Reference 13

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Observation e0f07b31-c2bb-4c67-b7b8-ec5d5cb7efd1 · outbound

This paper cites an unresolved cited work.

Robust Signal Maximization in Spillover Experiments Unresolved cited work

Reference 16

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Observation b72f64fc-f843-4fe6-99c9-70d1255d7030 · outbound

This paper cites So, hK = 1 K tr Sp/(p+1) rank(S) K λmax(SGR)p/(p+1) Cp/(p+1)N K, So hK p !0 if N /K ! 0, contradicting Assumption 1(c).

Robust Signal Maximization in Spillover Experiments So, hK = 1 K tr Sp/(p+1) rank(S) K λmax(SGR)p/(p+1) Cp/(p+1)N K, So hK p !0 if N /K ! 0, contradicting Assumption 1(c)

Reference 17

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Observation d52a9c0d-f148-4d33-b2d4-3fd57586f3c0 · outbound

This paper cites an unresolved cited work.

Robust Signal Maximization in Spillover Experiments Unresolved cited work

Reference 18

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Observation 3beab479-521f-4e3d-ac9e-8956da8e43d2 · outbound

This paper cites Proposition A9.

Robust Signal Maximization in Spillover Experiments Proposition A9

Reference 19

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source=pdf_text observed=2026-08-01T15:02:14.251290Z digest=sha256:9ecf5630286e306ef4c39f3537f4a6b6a590f4e36106bc28b29084d160c9cf4e

Observation 5bc5629b-701a-4bc1-8492-599e8884ce46 · outbound

This paper cites an unresolved cited work.

Robust Signal Maximization in Spillover Experiments Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-01T15:02:14.327357Z digest=sha256:7139390f115acd3ca2db20883fef32cdf50e2f99352ea2594ad63102c7bb80c4

Observation 98886768-6935-43a4-9d87-5899cfd308de · outbound

This paper cites (2015) Application, Without Whitening Homo- skedastic Hetero- skedastic Deg.-in- Mean Village- Corr.

Robust Signal Maximization in Spillover Experiments (2015) Application, Without Whitening Homo- skedastic Hetero- skedastic Deg.-in- Mean Village- Corr

Reference 50

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Observation 31f4d479-7f6d-4851-a8f7-5e27c72dad31 · outbound

This paper cites Robustness of Design Against Autocorrelation in Time I: Asymptotic Theory, Optimality for Location and Linear Regression,.

Robust Signal Maximization in Spillover Experiments Robustness of Design Against Autocorrelation in Time I: Asymptotic Theory, Optimality for Location and Linear Regression,

Reference 2013

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Observation d8ae25f7-3eee-495f-8b91-7f00f1f770e5 · outbound

This paper cites Empirical welfare maximization with constraints,.

Robust Signal Maximization in Spillover Experiments Empirical welfare maximization with constraints,

Reference 2019

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Observation dabd1d35-9131-4792-be68-923f06c1def0 · outbound

This paper cites Why randomize? Minimax optimality under permutation invariance,.

Robust Signal Maximization in Spillover Experiments Why randomize? Minimax optimality under permutation invariance,

Reference 2024

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Observation be65e947-9cbc-4470-9816-5216895a960f · outbound

This paper cites Estimating Demand with Recentered Instruments.

Robust Signal Maximization in Spillover Experiments Estimating Demand with Recentered Instruments

Reference 2025

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Observation fb13cdf9-0788-430e-b59d-a431f29e4ac2 · outbound

This paper cites Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming,.

Robust Signal Maximization in Spillover Experiments Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming,

Reference 2026

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