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Paper Citation Record · LEDGER

Adjusting auxiliary variables under approximate neighborhood interference

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2411.19789.

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

pith.paper-citation-record.v1
2411.19789 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:59:01.630453Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:08:24.954748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:51:49.323957Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 138b4b45-0cf1-4835-ae18-d4fec3236b33 · outbound

This paper cites an unresolved cited work.

Adjusting auxiliary variables under approximate neighborhood interference Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:59:02.052708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.565405Z digest=sha256:3c2fa61600da30e8b1543fed904268fc60e70fbaae7886049c0ad110e7e8d87c

Observation 402169b2-bfca-4e3b-8db2-8c402e591ec2 · outbound

This paper cites For ease of notation, we write ˜Gi ≡ ϕ(Gi).

Adjusting auxiliary variables under approximate neighborhood interference For ease of notation, we write ˜Gi ≡ ϕ(Gi)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:02.001302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.582509Z digest=sha256:33b7be77c43b72efd1beeab1750ff1412f67201e42160cba0280e946c59d8190

Observation d5cd8a5b-4e81-4152-888f-82f8ffb4f399 · outbound

This paper cites Define 1 HT(t) = n−1 Pn i=1 1(T i = t)/πi(t).

Adjusting auxiliary variables under approximate neighborhood interference Define 1 HT(t) = n−1 Pn i=1 1(T i = t)/πi(t)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:02.022350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.577361Z digest=sha256:69212019940efb7161c5da17e1c2b20b7a6484608cf7ffdfe0c8649f2be355f7

Observation c6197a6c-84d9-4c43-8dca-752700e0e93a · outbound

This paper cites For ˆσ2 Haj(β), define ˆV ⋆, ˜G,i and V ⋆, ˜G,i analogously as ˆV⋆,i and V⋆,i, with Yi replaced with ˜Gi.

Adjusting auxiliary variables under approximate neighborhood interference For ˆσ2 Haj(β), define ˆV ⋆, ˜G,i and V ⋆, ˜G,i analogously as ˆV⋆,i and V⋆,i, with Yi replaced with ˜Gi

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.980015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.587765Z digest=sha256:3767a575823a701afca536ddd7eb05db1c74990e6cb2b7986cd6b3efbc7d128d

Observation 6dfee9bc-69e0-424f-87a4-a8cbbc1f3efd · outbound

This paper cites We define ψ-dependence in line with Definition 2.2 of Kojevnikov et al.

Adjusting auxiliary variables under approximate neighborhood interference We define ψ-dependence in line with Definition 2.2 of Kojevnikov et al

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.960110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.592696Z digest=sha256:a6c1e3dcd3215d0973d71aa8518a8f5efd202df862040da5503c980e85881a66

Observation e68e3fb2-826b-4e9a-922c-0ffae98028e4 · outbound

This paper cites There- fore, we omit it.

Adjusting auxiliary variables under approximate neighborhood interference There- fore, we omit it

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.941331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.598472Z digest=sha256:c6f3cb0b715e97c48d279e4a993c09fbbb393bb9e89f82740d3a7e52e89fc46f

Observation f2838ecd-c962-4c27-8d30-5ac8b06185ef · outbound

This paper cites We see that ˆβ⋆,ND = n−1 nX i=1 nX j=1 Bij ˆV ⋆,ϕ(G),i ˆV ⊤ ⋆,ϕ(G),j −1 n−1 nX i=1 nX j=1 Bij ˆV ⋆,ϕ(G),i ˆV⋆,j.

Adjusting auxiliary variables under approximate neighborhood interference We see that ˆβ⋆,ND = n−1 nX i=1 nX j=1 Bij ˆV ⋆,ϕ(G),i ˆV ⊤ ⋆,ϕ(G),j −1 n−1 nX i=1 nX j=1 Bij ˆV ⋆,ϕ(G),i ˆV⋆,j

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.921669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.603416Z digest=sha256:88be66ef0c91f79cc57ec32953df2cad5c8a81f17ba4da8d7cbeb1782ba2dafe

Observation c572b532-b8d3-4e70-9bdc-3306b6a60b2a · outbound

This paper cites Similar as the proof of (Leung, 2022, Theorem 4), we have n−1 nX i=1 nX i=1 (Wiq1 − EWiq1)EWjq2Bij = oP(1).

Adjusting auxiliary variables under approximate neighborhood interference Similar as the proof of (Leung, 2022, Theorem 4), we have n−1 nX i=1 nX i=1 (Wiq1 − EWiq1)EWjq2Bij = oP(1)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.900038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.608366Z digest=sha256:80d1578a8627512cc0e6c27d715c71fbb7dbcdee739355b041ff01c3a256a9e3

Observation a57aa6a0-15b9-4d5e-b363-4c21d2a5e974 · outbound

This paper cites 41 In light of the above, applying (Leung, 2022, Theorem.

Adjusting auxiliary variables under approximate neighborhood interference 41 In light of the above, applying (Leung, 2022, Theorem

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.881334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.613796Z digest=sha256:54c3549c4284b1f2368a002d6f4b52ebcffc9ee6e884d2f9b26695ab2f752f8e

Observation 7bdbe3f5-7db0-4523-a9f0-7b09c42a6c7a · outbound

This paper cites Applying (Leung, 2022, Theorem.

Adjusting auxiliary variables under approximate neighborhood interference Applying (Leung, 2022, Theorem

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.862887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.618892Z digest=sha256:f7ef3ba1039ae534cbce8d09ecd83b175eb3494c52b2e9cbba853f0ae389deef

Observation 06b5ff50-feba-448b-a839-18af4cc58b6c · outbound

This paper cites As a consequence, we have n1/2(ˆτHaj( ˆβHaj,ND) − τ )/σHaj( ˜βHaj,ND) d − → N(0, 1).

Adjusting auxiliary variables under approximate neighborhood interference As a consequence, we have n1/2(ˆτHaj( ˆβHaj,ND) − τ )/σHaj( ˜βHaj,ND) d − → N(0, 1)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.844169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.624088Z digest=sha256:9f241e25bb9447bb63f4be10fe0a15d5b7c3c96e43322da0bc1e5ac363c10d0a

Observation f40b3e2e-868b-46ac-811d-ed268e3125cd · outbound

This paper cites ND-F , ND-L.

Adjusting auxiliary variables under approximate neighborhood interference ND-F , ND-L

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:59:01.826471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T05:59:01.630453Z digest=sha256:f0480afeadc862ce70836c9d1d846aaa4f1e43223864c1d983eaba0ecc63ae01

Observation b463f26e-08d6-4128-91b5-45fff3d771ea · outbound

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

Adjusting auxiliary variables under approximate neighborhood interference Causal inference in network experiments: regression-based analysis and design-based properties

Reference 1947

Resolution
unresolved
no resolver link, observed 2026-08-12T05:59:01.571271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:59:01.571271Z digest=sha256:e8c2600986c6917de9316bbdf6594896dfe54414d59cb4c39c5e1160e8d3c1ea

Pith citing papers

Observation 07e06c5f-7f41-4aa6-8e79-53f4c512d382 · inbound

Causal Inference under Interference: Regression Adjustment and Optimality cites this paper.

Causal Inference under Interference: Regression Adjustment and Optimality Adjusting auxiliary variables under approximate neighborhood interference

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T17:08:24.954748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:08:24.954748Z digest=sha256:11d2090192d05ec56f06685aaed844421c9857e6976e141f89deb2f6394c2d23

Observation 0681be47-70f8-4355-b0f7-870f879f6f0e · inbound

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions cites this paper.

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions Adjusting auxiliary variables under approximate neighborhood interference

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:51:49.326777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T19:49:07.703701Z digest=sha256:ea39d9aa813d060fe5074bce3450f84ee1d917c278e5477621eab585354162fa