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Paper Citation Record · LEDGER

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.26908.

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

pith.paper-citation-record.v1
2607.26908 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T17:25:36.045021Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 78369dcc-3cf6-499e-bb1d-444acf3a1b46 · outbound

This paper cites Performative prediction.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Performative prediction

Reference 1

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source=pdf_text observed=2026-07-30T17:25:35.058225Z digest=sha256:4f9a1412e4f866327227274f08bae732b1de73d4c505228b374efb5efc4bfa6d

Observation d8af66ef-d5b5-49fb-9271-a2495d518a89 · outbound

This paper cites Causal inference out of control: estimating per- formativity without treatment randomization.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Causal inference out of control: estimating per- formativity without treatment randomization

Reference 2

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source=pdf_text observed=2026-07-30T17:25:35.102242Z digest=sha256:307791a762825e7414731082f8e45db5c55d6d45c79031ba2acf243301149269

Observation 3dc6e98f-cb90-4897-822c-b75cf3fbe257 · outbound

This paper cites Hidden risks of machine learning applied to healthcare: unintended feedback loops between models and future data causing model degradation.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Hidden risks of machine learning applied to healthcare: unintended feedback loops between models and future data causing model degradation

Reference 3

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source=pdf_text observed=2026-07-30T17:25:35.180566Z digest=sha256:890948fcecc84ca14832e0912c9bd3ff9bb29bd23c1a2f8ef270fec6989325a5

Observation b9a62c36-a405-41b8-a616-655f6e010368 · outbound

This paper cites When accurate prediction models yield harmful self-fulfilling prophecies.Patterns, 6(4), 2025.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing When accurate prediction models yield harmful self-fulfilling prophecies.Patterns, 6(4), 2025

Reference 4

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source=pdf_text observed=2026-07-30T17:25:35.258228Z digest=sha256:8c4bad7e420d9d63ff94f5787790f295703ddf3458a743f5a57a6f67caaaffe3

Observation 1ba1e557-c601-4473-b98e-681053a25998 · outbound

This paper cites Making decisions under outcome performativity.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Making decisions under outcome performativity

Reference 5

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source=pdf_text observed=2026-07-30T17:25:35.345654Z digest=sha256:58c3ce8a9ba440bb54f2bb15d1c42d550d3d68bfb96051c3f24c568a071f241f

Observation cd2ce9a1-0f6b-4bef-bed9-be3f333c4600 · outbound

This paper cites Identifying predictions that influence the future: Detecting performative concept drift in data streams.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Identifying predictions that influence the future: Detecting performative concept drift in data streams

Reference 6

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source=pdf_text observed=2026-07-30T17:25:35.407619Z digest=sha256:7065884f3b1b856f90af2ec17078a43a4ff197047086551419d6a95f264cb3b9

Observation c62c41f1-739b-4b9e-b487-6767932f1293 · outbound

This paper cites What are randomised controlled trials good for?Philosophical studies, 147(1):59–70, 2010.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing What are randomised controlled trials good for?Philosophical studies, 147(1):59–70, 2010

Reference 7

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source=pdf_text observed=2026-07-30T17:25:35.498024Z digest=sha256:076bd11cab8e65c3e5e748bd006d36f27c857c4a77360b0bf65bd7b019e02390

Observation 56da2d83-f326-4f6d-84a6-b2ea3f2146ab · outbound

This paper cites Cambridge university press, 2009.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Cambridge university press, 2009

Reference 8

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source=pdf_text observed=2026-07-30T17:25:35.564618Z digest=sha256:54526d958081dc83f26deedc1ece66445cc7a54724e96336f8d4443140c59ae4

Observation e8ad2a98-7cde-4b10-86ab-469f7ac15cc7 · outbound

This paper cites Anticipating performativity by predicting from predictions.Advances in neural information processing systems, 35:31171–31185, 2022.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Anticipating performativity by predicting from predictions.Advances in neural information processing systems, 35:31171–31185, 2022

Reference 9

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source=pdf_text observed=2026-07-30T17:25:35.622411Z digest=sha256:1aa87a9252a5dce130904d88d056e267359311b1bc442185e2e7efe3e2cf6f95

Observation 4fa2e835-aac5-4a3d-bccb-a8eec32b008f · outbound

This paper cites Error amplification when updating deployed machine learning models.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Error amplification when updating deployed machine learning models

Reference 10

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source=pdf_text observed=2026-07-30T17:25:35.685689Z digest=sha256:7013ae49f069400c740977988a3fd4efd7b372eb10463ba707741dd33eb2c995

Observation e9a97752-6c7a-4b46-8939-e3646c289c32 · outbound

This paper cites A classification of feedback loops and their relation to biases in automated decision-making systems.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing A classification of feedback loops and their relation to biases in automated decision-making systems

Reference 11

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source=pdf_text observed=2026-07-30T17:25:35.733223Z digest=sha256:9502bc3d693d7f9e7d9ce35d1a1d5854c33893984d2ebf47b049fd0f162aef4e

Observation 23d5b775-37a6-4708-bc2e-272c56a55807 · outbound

This paper cites Model updating after interventions paradoxically introduces bias.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Model updating after interventions paradoxically introduces bias

Reference 12

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source=pdf_text observed=2026-07-30T17:25:35.778035Z digest=sha256:888f3afcd6c569d02a9c93c509f16832472df75252878e7d3bea3703796e28f1

Observation 1cccde50-655a-4e5f-801e-a3a122aaf1f0 · outbound

This paper cites Metalearners for estimating heterogeneous treatment effects using machine learning.Proceedings of the national academy of sciences, 116(10):4156–4165, 2019.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Metalearners for estimating heterogeneous treatment effects using machine learning.Proceedings of the national academy of sciences, 116(10):4156–4165, 2019

Reference 13

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source=pdf_text observed=2026-07-30T17:25:35.843292Z digest=sha256:5a5fcb0875fb7d86dadb4a2f909f73f79c3f1ad6037b343e9051cdcca862d746

Observation edfbe224-4cb8-433f-90fc-cc544b9ddd99 · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters.The Econometrics Journal, 21(1), 2018.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Double/debiased machine learning for treatment and structural parameters.The Econometrics Journal, 21(1), 2018

Reference 14

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source=pdf_text observed=2026-07-30T17:25:35.901900Z digest=sha256:2bee1eb743cb599b83b8229bebec8a3c227064560026999801851d5783be1487

Observation 5ee07c24-d5db-4182-8061-bf2a04494d61 · outbound

This paper cites Causal inference with complex treatments: A survey.ACM Computing Surveys, 58(9):1–36, 2026.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Causal inference with complex treatments: A survey.ACM Computing Surveys, 58(9):1–36, 2026

Reference 15

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source=pdf_text observed=2026-07-30T17:25:35.953475Z digest=sha256:cc9ffe2dd1fd97b0546daa1c79b9a49b14449a5ae83ae6f569b539754706087c

Observation f5a3dcb5-98a7-40ba-ba1f-22569440c84c · outbound

This paper cites Breast Cancer, 1988.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Breast Cancer, 1988

Reference 16

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source=pdf_text observed=2026-07-30T17:25:35.991902Z digest=sha256:aa0c44a737204cf47f28852945cf4b001fdd33b198bcb0aec1835cfe6f58c3ae

Observation b2095902-7b64-41ed-b0cd-0a1120f08032 · outbound

This paper cites Using the adap learning algorithm to forecast the onset of diabetes mellitus.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Using the adap learning algorithm to forecast the onset of diabetes mellitus

Reference 17

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source=pdf_text observed=2026-07-30T17:25:35.997773Z digest=sha256:96a74262f2b52aadab1636846db90001c1e5ec0c98560f6c720e3be52267cdc3

Observation 5d93caa0-3590-4245-a504-cd0924e20870 · outbound

This paper cites Adult census income, 1996.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Adult census income, 1996

Reference 18

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source=pdf_text observed=2026-07-30T17:25:36.004906Z digest=sha256:0640f3043095cafd78e81ae3810932444929f68b9145516afc502de5670545f7

Observation 26ab943d-856c-46fb-aed4-a182af16d6b1 · outbound

This paper cites Funding successful projects on kickstarter, 2017.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Funding successful projects on kickstarter, 2017

Reference 19

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source=pdf_text observed=2026-07-30T17:25:36.010991Z digest=sha256:76fdb2457edc935973f80b5d1ff7fbcb3347aba3b4c654d4b9eb623b92f8a38d

Observation deae7838-b06c-419e-9baf-d3da69efa6c4 · outbound

This paper cites Titanic - machine learning from disaster, 2012.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Titanic - machine learning from disaster, 2012

Reference 20

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source=pdf_text observed=2026-07-30T17:25:36.018246Z digest=sha256:06d699713d0d3606d08978228bfa6a621ee4c78c8bf6f71188ee064ce81a8ba5

Observation a0a6c734-58f5-41ea-982d-aaef3f1a99d8 · outbound

This paper cites Loan approval prediction dataset, 2023.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Loan approval prediction dataset, 2023

Reference 21

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source=pdf_text observed=2026-07-30T17:25:36.023723Z digest=sha256:9163a8efe4cc6873528de199185d676d1bf8010ea6b8e854d2f84bb7376e5c09

Observation d8c4b61f-e6c3-4bef-84c5-efd845d52295 · outbound

This paper cites Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation

Reference 22

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source=pdf_text observed=2026-07-30T17:25:36.028836Z digest=sha256:c21ece3f9b7ac7cfb01e50bfbed88f5ddc809ad7f8a7695d5392c6e3637d228b

Observation 2d73def3-8811-4e44-8f5d-9c6e600925c3 · outbound

This paper cites Open challenges for data stream mining research.ACM SIGKDD Explorations Newsletter, 16(1):1–10, 2014.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Open challenges for data stream mining research.ACM SIGKDD Explorations Newsletter, 16(1):1–10, 2014

Reference 23

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source=pdf_text observed=2026-07-30T17:25:36.034513Z digest=sha256:3d0e189214e7ce64f59c524e0499be0157452444d7bb8ad080c41799c1a8b4f6

Observation 1f86f60d-a074-43d7-a500-0b77251f1bbf · outbound

This paper cites Weakly supervised machine learning.CAAI Transactions on Intelligence Technology, 8(3):549–580, 2023.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing Weakly supervised machine learning.CAAI Transactions on Intelligence Technology, 8(3):549–580, 2023

Reference 24

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source=pdf_text observed=2026-07-30T17:25:36.039953Z digest=sha256:bd77cd7616fdebf6205fe231c8e35ebf2eaeede787213888c2b3cb52e1f08eca

Observation 7b3174bc-1126-4138-b43d-169c6029aadf · outbound

This paper cites A survey on concept drift adaptation.ACM computing surveys (CSUR), 46(4):1–37, 2014.

Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing A survey on concept drift adaptation.ACM computing surveys (CSUR), 46(4):1–37, 2014

Reference 25

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source=pdf_text observed=2026-07-30T17:25:36.045021Z digest=sha256:3880654e663879b927a68a638ff11068213a55870610c4cd385408eec011022b

Pith citing papers

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