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Paper Citation Record · LEDGER

Adjusting auxiliary variables under approximate neighborhood interference

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.565405Z digest=sha256:612082f86e4ab3272a1db271c78e0f04e23e12140262dd325710844f9bc96fa7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.582509Z digest=sha256:8fb61bffd986ea97402eab572e1af88984a8ebfe44b5269e2dd81bd184b104e6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.577361Z digest=sha256:3dd144369cd1be1545c6d491011bed324908cdd3760586eb65af7b2c71729c20

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.587765Z digest=sha256:e95b7ee1a02454a8a60e80844de8ac43765687e185059dd970aabbcd63b4f78f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.592696Z digest=sha256:1fb7e722322fb85c4d2248d850b6f5f90a0f890771e8e8011d4d52e5f79cd027

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.598472Z digest=sha256:846f5c2775ab2f111ff79a95952c62853f997b0385d0cb30825dc30dae9133f5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.603416Z digest=sha256:06f8770e7a5d6741a8895561ab1072be932ab4d54949a5f2138762f721fbb9c6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.608366Z digest=sha256:66398da325f524270e038c7b1dc6775b0d0185fff8cdfc5b36277ab7e762ef24

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.613796Z digest=sha256:1520f324e05c5aaf9c8bfcbeb804b88fa7dd7f18e3383e52d330b777fe3bf67e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.618892Z digest=sha256:f404ec9bc8e7a7359653b035e1fa182f6e22564ffc78c5d93d36fef13b1665d7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.624088Z digest=sha256:59015258ded8bec77c17a3cefebcdfd07784b337e48ce1d3dd8adc6609d3e624

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:59:01.630453Z digest=sha256:200e90dca190d6ba875a39d51e8e57052dc495d4fc9b0d255c3263f9a0db0e5d

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=sha256:99c612cbb5113f78199d9da7a557f0ca01f48197f7cc8a5862563d8a8ae65ff6

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=sha256:918eb7b399a7c4a5ca9921c3acc814b9b9e202c931cb797777d31f6a2d428b04

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T19:49:07.703701Z digest=sha256:ea78ee0c5179e59412a92bd734c372bfecd75f4c9011e04413948e2c93089d08