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Paper Citation Record · LEDGER

Data-Poisoning Audits for Causal Effect Estimation

As of 21 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.19692.

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

pith.paper-citation-record.v1
2607.19692 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:06:37.754872Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

39 of 39 outbound references displayed

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  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fed81c3f-d9ee-41fd-9745-27dc3b307e71 · outbound

This paper cites and Rotnitzky, Andrea and Zhao, Lue Ping , title =.

Data-Poisoning Audits for Causal Effect Estimation and Rotnitzky, Andrea and Zhao, Lue Ping , title =

Reference 1

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source=arxiv_source observed=2026-08-01T12:06:35.078672Z digest=sha256:5744ad8d6fcaeab0dd076502a01a930c761ae36f95c08cdb9989107297bde542

Observation 092f1991-49d1-4dbf-9c90-c8b5275c5485 · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 2

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source=arxiv_source observed=2026-08-01T12:06:35.150857Z digest=sha256:76c809dc14bfde56f549ddaa2f4ed8e884e4093b5ba793577a4b9a9239def2bf

Observation ea553da4-887e-4cad-8ffa-73089e012dce · outbound

This paper cites and Westreich, Daniel and Wiesen, Chris and St.

Data-Poisoning Audits for Causal Effect Estimation and Westreich, Daniel and Wiesen, Chris and St

Reference 3

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source=arxiv_source observed=2026-08-01T12:06:35.227146Z digest=sha256:212b331333875f3501bb1dac473d91971933361d605585c0e3141117c587eefe

Observation cbc91667-8a41-4d68-8865-fa0c0e352d84 · outbound

This paper cites and Rubin, Daniel , title =.

Data-Poisoning Audits for Causal Effect Estimation and Rubin, Daniel , title =

Reference 4

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source=arxiv_source observed=2026-08-01T12:06:35.287504Z digest=sha256:27e661706f0f8ce27c878152d46655260a76e341cbf75b4ba47b56c7d88ac85d

Observation 87d6a7fb-93fd-4420-878f-1b038f9776b8 · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 5

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source=arxiv_source observed=2026-08-01T12:06:35.357825Z digest=sha256:e6252a200b5e5e11f2328287e13b854f4038bf5536af3c8d382da1f4379cd597

Observation 2d8a3a7c-8751-4a62-916e-97e0557c10ac · outbound

This paper cites and Hotz, V.

Data-Poisoning Audits for Causal Effect Estimation and Hotz, V

Reference 6

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source=arxiv_source observed=2026-08-01T12:06:35.416749Z digest=sha256:2d8b6625040e923c442c4c8c88daa3e874012564f59b8089652a73be8b59a6b3

Observation 6276e107-58fb-450a-a8ea-c0614f856c28 · outbound

This paper cites Journal of the Royal Statistical Society: Series B , year =.

Data-Poisoning Audits for Causal Effect Estimation Journal of the Royal Statistical Society: Series B , year =

Reference 7

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source=arxiv_source observed=2026-08-01T12:06:35.485654Z digest=sha256:35eba75c29231e60ad2a57b9f95113e575f1141da0ac30401cb990d59a3ab527

Observation 9285c560-bcd6-491c-8428-26609ca58ede · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 8

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source=arxiv_source observed=2026-08-01T12:06:35.555311Z digest=sha256:9ff66903cc5d53d954b7e2359bb356069b00dda18f16d3b28c646a79d8edc728

Observation da81967f-c936-4a93-9268-5f7d594f0d5f · outbound

This paper cites Proceedings of the Fourth Conference on Causal Learning and Reasoning , series =.

Data-Poisoning Audits for Causal Effect Estimation Proceedings of the Fourth Conference on Causal Learning and Reasoning , series =

Reference 9

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source=arxiv_source observed=2026-08-01T12:06:35.604432Z digest=sha256:48f2d4e21fcb8c0565df747382eb57e2fcb59e42627500dc9a7331db16b8a900

Observation e04f5b03-2f76-4525-85c9-e40430d124ba · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 10

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source=arxiv_source observed=2026-08-01T12:06:35.677144Z digest=sha256:995936dc87db700667a7bc709ab7aec751db7a0dff0b8a7e29d8298a820a52ac

Observation 84bd9bd0-80ff-42dc-90dd-34dd7493a14f · outbound

This paper cites and Ronchetti, Elvezio M.

Data-Poisoning Audits for Causal Effect Estimation and Ronchetti, Elvezio M

Reference 11

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source=arxiv_source observed=2026-08-01T12:06:35.751268Z digest=sha256:7309e8e6eb1fb60e4a76c539f1da5f89270d95ab8bbc2980a3c5f86146ed1a62

Observation 89fd7d57-67a9-47e0-a20e-243362b1d671 · outbound

This paper cites Statistica Sinica , year =.

Data-Poisoning Audits for Causal Effect Estimation Statistica Sinica , year =

Reference 12

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source=arxiv_source observed=2026-08-01T12:06:35.813225Z digest=sha256:5d06e6323039a7d21f72b88d04fe44f1ee1c6bbe12ca9d4a72eff913131b8129

Observation 6cdd7a70-6eee-4e9f-8345-9bac7263ce75 · outbound

This paper cites arXiv preprint arXiv:2507.17439 , year =.

Data-Poisoning Audits for Causal Effect Estimation arXiv preprint arXiv:2507.17439 , year =

Reference 13

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source=arxiv_source observed=2026-08-01T12:06:35.920077Z digest=sha256:85b84847b971d122d530e3f963aa5aeb2725d78fa8432bb63aee7c7f950ddabb

Observation 82e45fcd-6c9f-4701-b42b-d6e47c6b1da4 · outbound

This paper cites Quantifying Error in the Presence of Confounders for Causal Inference.

Data-Poisoning Audits for Causal Effect Estimation Quantifying Error in the Presence of Confounders for Causal Inference

Reference 14

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source=arxiv_source observed=2026-08-01T12:06:35.982499Z digest=sha256:8e91549f95c91cd71d67fc52d70d0e32ef293ccde6524bd50f7946f46014a226

Observation 3a5923bf-e9b0-4583-9214-79725a795d17 · outbound

This paper cites Proceedings of the Thirty-Third Conference on Learning Theory , series =.

Data-Poisoning Audits for Causal Effect Estimation Proceedings of the Thirty-Third Conference on Learning Theory , series =

Reference 15

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source=arxiv_source observed=2026-08-01T12:06:36.050859Z digest=sha256:da42e996f705a2e448eb34f480e83740ff627f3312e38bde21d890c5075a979e

Observation 62b29269-9d96-4965-9bfb-06ec7420999a · outbound

This paper cites Neural Information Processing , series =.

Data-Poisoning Audits for Causal Effect Estimation Neural Information Processing , series =

Reference 16

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source=arxiv_source observed=2026-08-01T12:06:36.122651Z digest=sha256:a3f2f4e834a94e007ecbe1484c22ff724737e10f7188da6bdd07f188fc0f5618

Observation 41153de2-4fb4-4ae8-928a-39284cdf3062 · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 17

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source=arxiv_source observed=2026-08-01T12:06:36.183064Z digest=sha256:1f36a60d21b1fe9c6e2321aae25aeef26c2ae15aa48f3bef5caafae176141b3c

Observation 4a85df98-e338-4031-bedb-60573049acd0 · outbound

This paper cites The Annals of Statistics , year =.

Data-Poisoning Audits for Causal Effect Estimation The Annals of Statistics , year =

Reference 18

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source=arxiv_source observed=2026-08-01T12:06:36.287091Z digest=sha256:5004463856fa33b9b82365f06f951086266d2f13fa01d81b8fec636b4725e6b3

Observation 6946af4d-d43a-4e29-a798-1cc84ee6bcf5 · outbound

This paper cites Proceedings of the 29th International Conference on Machine Learning , pages =.

Data-Poisoning Audits for Causal Effect Estimation Proceedings of the 29th International Conference on Machine Learning , pages =

Reference 19

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source=arxiv_source observed=2026-08-01T12:06:36.349556Z digest=sha256:be7f9fbf5f66b6772338e27f3622bdb4e868165846de7ba3d7b56df1a4f9e5ac

Observation b0845ccb-274c-43e2-bf54-7727a67c8da5 · outbound

This paper cites Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence , pages =.

Data-Poisoning Audits for Causal Effect Estimation Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence , pages =

Reference 20

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source=arxiv_source observed=2026-08-01T12:06:36.422504Z digest=sha256:d4ec3787964d42897b8c3fda0f88a208bef592a91bc505fb89f15accefbc70c4

Observation 6420de8f-e52f-41df-90f2-b223e96602f6 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , series =.

Data-Poisoning Audits for Causal Effect Estimation Proceedings of the 34th International Conference on Machine Learning , series =

Reference 21

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source=arxiv_source observed=2026-08-01T12:06:36.492285Z digest=sha256:b314472de493c80d72ff67b8100570224a89aeb87a3b26445582bfbcd26065fc

Observation e66003ab-2079-4392-ae98-9dd054ff2e04 · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 22

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source=arxiv_source observed=2026-08-01T12:06:36.586106Z digest=sha256:c0d1bdc74588ddbd5877c6b7b426fab4bf9900c59ed3784dc93b940dc5dbe89c

Observation c57b3831-fba0-4853-896d-d10a5636ce13 · outbound

This paper cites 2018 IEEE Symposium on Security and Privacy , pages =.

Data-Poisoning Audits for Causal Effect Estimation 2018 IEEE Symposium on Security and Privacy , pages =

Reference 23

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source=arxiv_source observed=2026-08-01T12:06:36.718181Z digest=sha256:2e46b97afa4f80a093a3756ab69a995b3e9415cd618c3f1de3a0af039799dc0d

Observation da4bb4da-7a9d-491d-9125-dee9eb1541b5 · outbound

This paper cites Journal of Machine Learning Research , year =.

Data-Poisoning Audits for Causal Effect Estimation Journal of Machine Learning Research , year =

Reference 24

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source=arxiv_source observed=2026-08-01T12:06:36.841355Z digest=sha256:bc3033aa37e4d11080167450818a34fbe3546a4debe1c50653af4c8658a44d17

Observation 96a600f4-87c6-4ead-af0e-bde6c5ca9637 · outbound

This paper cites Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence , series =.

Data-Poisoning Audits for Causal Effect Estimation Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence , series =

Reference 25

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source=arxiv_source observed=2026-08-01T12:06:36.907772Z digest=sha256:f2e2a1d7bb73cf43e560f4ee84b02057f7857f7c02e581389a78b8a1f90dc23e

Observation fc7f9656-058a-4614-8bc0-29fda50005a6 · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 26

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source=arxiv_source observed=2026-08-01T12:06:36.971762Z digest=sha256:1d4d8965867d0648aa7628ee7d069a4707fefa897c75a7087dfa391331be67bc

Observation 9de4acce-e62b-4b1a-85ae-713a689056d6 · outbound

This paper cites Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning , booktitle =.

Data-Poisoning Audits for Causal Effect Estimation Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning , booktitle =

Reference 27

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source=arxiv_source observed=2026-08-01T12:06:37.081013Z digest=sha256:336d344cf618292cfe73f770e926ff260fb8b4da8af9cf7829b408de650110ec

Observation 68fe8a9c-6845-4771-abda-efe28f8a5935 · outbound

This paper cites Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks , booktitle =.

Data-Poisoning Audits for Causal Effect Estimation Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks , booktitle =

Reference 28

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source=arxiv_source observed=2026-08-01T12:06:37.145592Z digest=sha256:d2b63b7925bf6df311338cb9bc0ef442f2986656183052622834b148a2d6d9d5

Observation 77c51cba-8a7b-4cf5-85b3-d9d3caf1932b · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 29

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source=arxiv_source observed=2026-08-01T12:06:37.214688Z digest=sha256:631012481346ea399d29f1c9ca500c12c8814850277ace466d57f958899f7b63

Observation cac0e81b-56c8-47b1-abb4-14ec6415bcfe · outbound

This paper cites Statistical Science , year =.

Data-Poisoning Audits for Causal Effect Estimation Statistical Science , year =

Reference 30

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source=arxiv_source observed=2026-08-01T12:06:37.279984Z digest=sha256:472fbea4601e79e2a499782e4a64e97752783e7b5c74cb5912b9c1aea592089c

Observation b5a62e7e-fc18-40a0-a9cf-fd27aba7ac33 · outbound

This paper cites Causal Inference: What If , publisher =.

Data-Poisoning Audits for Causal Effect Estimation Causal Inference: What If , publisher =

Reference 31

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source=arxiv_source observed=2026-08-01T12:06:37.327530Z digest=sha256:9d237e19dd4ba37f99d0b189672bbfb8e73f32cb2165d7feb736a12d4d184ed1

Observation 688e643a-2f9b-4213-8d9e-b024f76ee109 · outbound

This paper cites An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference.

Data-Poisoning Audits for Causal Effect Estimation An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference

Reference 32

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source=arxiv_source observed=2026-08-01T12:06:37.380121Z digest=sha256:b075f61fe45d7aea128064fc010655d987a3a8339ce60e97b174fb2fc1b36a78

Observation 7e5a06c5-6197-4105-88a3-fa14b3ee30e1 · outbound

This paper cites Biometrika , year =.

Data-Poisoning Audits for Causal Effect Estimation Biometrika , year =

Reference 33

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source=arxiv_source observed=2026-08-01T12:06:37.439000Z digest=sha256:a92c69122f14e87b1bb544378d66310ae1bf7dcfe22c739e5175c193b9bfd15b

Observation 85a25716-271c-4f04-99d4-4165488c709b · outbound

This paper cites , title =.

Data-Poisoning Audits for Causal Effect Estimation , title =

Reference 34

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source=arxiv_source observed=2026-08-01T12:06:37.493349Z digest=sha256:aff6d0ea365073437d63f07093f0ef43c0843ed7b6e38d75ffe5da662167ef71

Observation 044c105e-30d9-4d2a-b1be-7a603867b614 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Data-Poisoning Audits for Causal Effect Estimation Advances in Neural Information Processing Systems , volume =

Reference 35

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source=arxiv_source observed=2026-08-01T12:06:37.553102Z digest=sha256:5b6c4b9ec72f132f273f28136c0cb001ee93559600d4eacc345bd51dabdc325d

Observation 9674f629-2b18-4af2-b2d8-2339d76857d8 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , series =.

Data-Poisoning Audits for Causal Effect Estimation Proceedings of the 41st International Conference on Machine Learning , series =

Reference 36

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source=arxiv_source observed=2026-08-01T12:06:37.583323Z digest=sha256:3922390f3d2439abc49474599a03646dfef1b431e115a7fb2899c99e038c2d57

Observation b6698c0d-ef1a-4d11-b48f-dac741524c33 · outbound

This paper cites and Chaudhuri, Saraswata , title =.

Data-Poisoning Audits for Causal Effect Estimation and Chaudhuri, Saraswata , title =

Reference 37

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source=arxiv_source observed=2026-08-01T12:06:37.641637Z digest=sha256:9deb8716713098afd1d4c457541693868f3f33d6bd1b157214a888012ad11960

Observation fd871ea5-c6d0-423e-896d-9bab9265a7a0 · outbound

This paper cites 2015 , publisher=.

Data-Poisoning Audits for Causal Effect Estimation 2015 , publisher=

Reference 38

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source=arxiv_source observed=2026-08-01T12:06:37.703392Z digest=sha256:83818f7ae285096cfef2ce67d86bd50f54c87968f2061b66c8cac6114e2a78e2

Observation 4ff72b17-0450-4c58-8376-babb7d3e702a · outbound

This paper cites Handbook of statistical methods for precision medicine , pages=.

Data-Poisoning Audits for Causal Effect Estimation Handbook of statistical methods for precision medicine , pages=

Reference 39

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source=arxiv_source observed=2026-08-01T12:06:37.754872Z digest=sha256:d0910df0ad36f7e6b864e4bf0c5cf389dd4213a2e29d56118a4ef49e844d5b44

Pith citing papers

No inbound Pith citation observations are available.