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Paper Citation Record · LEDGER

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

As of 15 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 2 inbound Pith citation observations for arXiv:2606.03719.

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

pith.paper-citation-record.v1
2606.03719 v1

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:00:44.468566Z

measured 85 of 85 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 2026-08-04T04:24:57.469203Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

83 of 83 outbound references displayed

  • verified exact18
  • verified fuzzy0
  • unresolved61
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01fbc61b-2e4e-4cae-8ff4-b6beb2015087 · outbound

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

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence , pages =

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:0944a5eb3b3b03c7350a6aa496ab4524ed02436d92ed8ebafc11773ad36b3f69

Observation dc5446a7-8a04-45ac-898d-e84968414ee8 · outbound

This paper cites 2022 , eprint=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2022 , eprint=

Reference 2

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no resolver link, observed 2026-06-28T10:00:44.468566Z

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:0b57b0a87e0f701c90293b98dc242d53c705a427313a52a3ad8b2e2330854870

Observation 1e32faf8-65ad-4fe4-a2db-2ccf0cdc30eb · outbound

This paper cites Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence , articleno =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence , articleno =

Reference 3

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no resolver link, observed 2026-06-28T10:00:44.468566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:d9525f20e8ee5e627695b9514667b965e03a8f7b3259a2b7d30fd429dcacff0b

Observation f33681b5-1677-4b99-90da-b1f9c1245eaa · outbound

This paper cites Quantifying.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Quantifying

Reference 4

Resolution
metadata mismatch
doi, observed 2026-06-28T10:01:52.340671Z

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=2026-06-28T10:00:44.468566Z digest=sha256:ca92f6c23a53dd4c17daf37558aa606d481e6fed32e02d8157414ac25704cd0c

Observation 490d6268-8494-460f-a262-ee3b76499bf9 · outbound

This paper cites Journal of Causal Inference , doi =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Journal of Causal Inference , doi =

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:6675ece0e7ca32f034e0426447b349e4fb9116e5727fbb4ceabeeebcaf8ae6d3

Observation 93428e6d-6055-4848-be37-a6613327d24b · outbound

This paper cites Learning structures of Bayesian networks for variable groups , journal =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Learning structures of Bayesian networks for variable groups , journal =

Reference 6

Resolution
verified exact
doi, observed 2026-06-28T10:01:52.344025Z

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=2026-06-28T10:00:44.468566Z digest=sha256:a4349bc9f942d8a23a2cffd59bf43a1757c142ca36d4d0068a0d713c5dac5758

Observation 3bba8139-a2ef-4d76-8469-29bf186b60e5 · outbound

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

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence , pages =

Reference 7

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no resolver link, observed 2026-06-28T10:00:44.468566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:4332350ae0254694a0b43bf8b3b203be51ff689e6370a5f731688513f297f9bb

Observation 38b165a5-eaa6-45a3-8564-7a5ed2278877 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 8

Resolution
verified exact
doi, observed 2026-06-28T10:01:52.317118Z

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=2026-06-28T10:00:44.468566Z digest=sha256:293f7d337868ed6680dc8f624d5ba04d5b871a54c9efd0c08bca0a0e784daa2c

Observation 335ec2f7-4543-421b-89f3-cf847eb27cfa · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 9

Resolution
verified exact
doi, observed 2026-06-28T10:01:52.334196Z

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=2026-06-28T10:00:44.468566Z digest=sha256:1a83de85a5af2221ad8dffeace2399a872eadce6cd93941159012afb90e48492

Observation e60a35a3-e091-432b-a980-61ad8a870687 · outbound

This paper cites 2024 , eprint=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2024 , eprint=

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:c809d8a6804a49a684c074e1ff9798ac4e382e8f92dd91d06514895a9d195cc2

Observation c6b3e27a-f176-4008-beba-b20f82f8c8f1 · outbound

This paper cites Markov Properties for Acyclic Directed Mixed Graphs , volume=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Markov Properties for Acyclic Directed Mixed Graphs , volume=

Reference 11

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arxiv_id, observed 2026-06-28T10:01:52.335258Z

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.

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Observation 8396c11a-4f53-4364-90ea-504e15b71098 · outbound

This paper cites 2009.Causality(2 nd ed.).

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2009.Causality(2 nd ed.)

Reference 12

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verified exact
doi, observed 2026-06-28T10:01:52.345733Z

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=2026-06-28T10:00:44.468566Z digest=sha256:7c46f3dee8fdfbbe77434b2114c4bcefd7c2a022ab79c8fd42d49b5c9dd321bd

Observation a1344446-7899-4283-9d2b-f7b94a82ac1d · outbound

This paper cites , title =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs , title =

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:ed40420f1cbce317784a3b75a50cbb764f8d0624bc1220307680316911d81ef2

Observation 66e0b425-78c0-4ea8-a326-e417d4c688b6 · outbound

This paper cites The 40th Conference on Uncertainty in Artificial Intelligence , year=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs The 40th Conference on Uncertainty in Artificial Intelligence , year=

Reference 14

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no resolver link, observed 2026-06-28T10:00:44.468566Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:0168383bd7cdcdf72f8076bbbd545e1fa5122df866f0a91f1c8d3f10feaebfe3

Observation 0fcee02f-dbf7-48ef-a9d3-6addfb6a71c4 · outbound

This paper cites Proceedings of The First AAAI Bridge Program on Continual Causality , pages =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of The First AAAI Bridge Program on Continual Causality , pages =

Reference 15

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:cec2638bf03b13eb535b3052df04d422f642c582b1e27702b2c7de18dc9c11b0

Observation 3e3cc95c-328f-4c88-a945-7a931257de8a · outbound

This paper cites Richard Guo and Emilija Perkovi\'c , title =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Richard Guo and Emilija Perkovi\'c , title =

Reference 16

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no resolver link, observed 2026-06-28T10:00:44.468566Z

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:32b1c77e735b8b139605aac433f72ffa22dcd41eb5e50e97cc8a8cb2e64906e3

Observation 5c6a515e-6057-467c-af74-c6a352bf89f4 · outbound

This paper cites and Didelez, Vanessa , title =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs and Didelez, Vanessa , title =

Reference 17

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no resolver link, observed 2026-06-28T10:00:44.468566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:04cbbbc0bdf2b6e2d28c1d293574dee71693866ebdc1d48a2bc3f50f17520284

Observation d5a73bb0-326c-4567-be0f-9191d6c4730a · outbound

This paper cites Maathuis , title =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Maathuis , title =

Reference 18

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no resolver link, observed 2026-06-28T10:00:44.468566Z

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:28e69327c8bbb3928a50b729c2bccbac27ef71a15ff6729fc688f0ea309e44ff

Observation 87f05fa5-53fd-4731-a141-4422a1b62c7a · outbound

This paper cites Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI) , pages =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI) , pages =

Reference 19

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:30b9ae63c4b3c269b6ac1c905b8b58861d3f216114718a26920ca83ca8538a96

Observation f017b27f-6658-4e7c-acf6-91a03c06cd2d · outbound

This paper cites Journal of Causal Inference , doi =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Journal of Causal Inference , doi =

Reference 20

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no resolver link, observed 2026-06-28T10:00:44.468566Z

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:3bbf2e71fe4a516a66969ae0ddf46bb6673319f679d61f4f1412e6250f38cedd

Observation c4b7de1d-d37a-47c8-a4e2-2c5581b1dd2c · outbound

This paper cites 2025 , eprint=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2025 , eprint=

Reference 21

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:32c57f93beeb907095bf13c5e344149b29e46735cacc4b66d297d8cd4ec5f203

Observation 9f0f8638-fcd6-4b0d-9acb-e972722c65fe · outbound

This paper cites title =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs title =

Reference 22

Resolution
verified exact
doi, observed 2026-06-28T10:01:52.312608Z

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=2026-06-28T10:00:44.468566Z digest=sha256:2b44ffecaeb018325778d7cecc244c24aef9a7ab218f1063c5376e4d48286d39

Observation 44af9607-00d7-4885-adc2-064c8462bf71 · outbound

This paper cites Proceedings of the 35th International Conference on Neural Information Processing Systems , articleno =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the 35th International Conference on Neural Information Processing Systems , articleno =

Reference 23

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:f76f061b13c251b5dc05667e5f8c44bff596f9d88d6b2468d09453122f60b417

Observation e229508f-b703-4412-b355-67b2b00fa28f · outbound

This paper cites Biometrika , volume =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Biometrika , volume =

Reference 24

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doi, observed 2026-06-28T10:01:52.347592Z

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

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:670393c8361bf2f4b9475008928c35db27fdb24bc744ffd41dce15f08f8eea87

Observation 8086ceb7-bb0c-44e3-80b4-b1efec5e82ea · outbound

This paper cites Mathur and Tyler J.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Mathur and Tyler J

Reference 25

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:eb3c37c1d260306acbc0b242f4f9c714414d935fc8ff5cf88544e9fddfeb3d76

Observation 9d2406ae-d55e-4c7d-8a71-22e92d2e4f0e · outbound

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

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Journal of Machine Learning Research , year =

Reference 26

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:304b351fa8f9da0b1375a7d064157aff25d6f23799e362939241f6edf18f7f96

Observation 066bbd21-3f6f-43ca-ada5-6590d3a8c1b5 · outbound

This paper cites an unresolved cited work.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:70f94a5b50c365c14fda5f6a9538a3501d228faff9b109eb157c7e1fd3af0780

Observation 184a5a09-b22a-469a-b7bf-ebe278bc4bef · outbound

This paper cites Identification of joint interventional distributions in recursive semi-.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Identification of joint interventional distributions in recursive semi-

Reference 28

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no resolver link, observed 2026-06-28T10:00:44.468566Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:3ed28ec651a99de2c53dd28cac6899a6fc944f11a762260e1f9364023fdccd05

Observation ad6b74ee-a3a6-4f09-bd50-492a1946bbb6 · outbound

This paper cites Identification of conditional interventional distributions , isbn =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Identification of conditional interventional distributions , isbn =

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:114fd7de80d7101e09acf27a42a6301f4a97311b4a7172c677c6690832a7bd5e

Observation 0aafa941-98b9-49ec-9d4d-44181a4b5b74 · outbound

This paper cites Pearl's calculus of intervention is complete , isbn =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Pearl's calculus of intervention is complete , isbn =

Reference 30

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no resolver link, observed 2026-06-28T10:00:44.468566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:0cc5fb88b598ed274e0896e6b5d2933468a52835c08a209c5bb90a363e496f7e

Observation 720c5d81-f565-400b-9b1a-b721b5cacccb · outbound

This paper cites Causal networks: semantics and expressiveness , isbn =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Causal networks: semantics and expressiveness , isbn =

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:3cd16ecbdcc345f8e6e2ffb4eacb18ced8b292d21c5b01c5d0a148d91680976c

Observation a7244716-bc88-42e8-a37d-584d1457a700 · outbound

This paper cites Causal diagrams for empirical research , year =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Causal diagrams for empirical research , year =

Reference 32

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verified exact
doi, observed 2026-06-28T10:01:52.324265Z

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=2026-06-28T10:00:44.468566Z digest=sha256:13e36a79272d683d827ab5a96e14672851f292be05f09e9877cb1137c9be5a1b

Observation 3bd28836-840c-44f2-8e7b-1eaab960e3fc · outbound

This paper cites On the testable implications of causal models with hidden variables , isbn =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs On the testable implications of causal models with hidden variables , isbn =

Reference 33

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:d92dd3088233443716d71cc5ec7871b081c7f2f7c2c401e4b6ec1fc061d7b0f2

Observation 577a409e-b256-4806-b32b-822f85e94e22 · outbound

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

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Journal of Machine Learning Research , author =

Reference 34

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doi, observed 2026-06-28T10:01:52.347386Z

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=2026-06-28T10:00:44.468566Z digest=sha256:23612117219d7b81702db3d84430d2bb250ecad3fcff2a6bf5834c61b4a5291b

Observation 30f6c4e1-042c-4b12-ab6a-6d02fd8acac6 · outbound

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

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Journal of Machine Learning Research , author =

Reference 35

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no resolver link, observed 2026-06-28T10:00:44.468566Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:18a883fcaf424b507ed3f5c3694a587e43ee28efc75a353d33467bdd14e682a5

Observation cc1ddc30-7152-4ba1-a768-a8d2ab2f2b06 · outbound

This paper cites Ancestral Graph.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Ancestral Graph

Reference 36

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metadata mismatch
arxiv_id, observed 2026-06-28T10:01:52.342036Z

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=2026-06-28T10:00:44.468566Z digest=sha256:d61bdfa470744cb05628ceec52b7a42a14fedcea6fce4dd5ff413d0b18d8e3e4

Observation 2fade450-53ed-4581-8924-924070b2cc3a · outbound

This paper cites Thomas Verma and Judea Pearl.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Thomas Verma and Judea Pearl

Reference 38

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doi, observed 2026-06-28T10:01:52.330166Z

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

source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:ea71af362fd2d29275941051163a8e80a7bfac04a95dc8e9f784b5c45c0f7875

Observation 2be79aa8-a3c3-46a5-bf9c-aefcece53e92 · outbound

This paper cites Carnegie Mellon University , author =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Carnegie Mellon University , author =

Reference 39

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Observation 9b0bd12c-732a-4924-8f7f-4683ba57573d · outbound

This paper cites The Annals of Statistics , author =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs The Annals of Statistics , author =

Reference 40

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:b2fd1bd56a0a1388c9a887787b03bcff5cec5faf7716d5e2b6ce2d27a45cf8b0

Observation c940781f-bed1-4872-8f96-f5ce0198fe7f · outbound

This paper cites In 2011 IEEE 11th International Conference on Data Mining Workshops.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs In 2011 IEEE 11th International Conference on Data Mining Workshops

Reference 41

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:bf9751731088009a46d6a19a608b7f39e054e32d5a6ea3bf8460c6ddaaed8c22

Observation 62d8cab8-cf83-42c4-9434-a9cb9b3542d3 · outbound

This paper cites External Validity: From Do-Calculus to Transportability Across Populations, page 451–482.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs External Validity: From Do-Calculus to Transportability Across Populations, page 451–482

Reference 42

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:a02ee8b37eb2bdb6c2f63acecf2cff81f9cba781d547ac04cc002252a8ec30c0

Observation 3c244b00-b978-4c3c-a8db-9539ea2bb428 · outbound

This paper cites Eighteenth National Conference on Artificial Intelligence , pages =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Eighteenth National Conference on Artificial Intelligence , pages =

Reference 43

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:b0ccac74c6489d0ec5cc6293ab1a7340d4dfb38fd5fc04cac3e807e3508eea8b

Observation 30420e29-bef0-45c6-bf13-aad59a8d1b29 · outbound

This paper cites Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =

Reference 44

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:b9e6719248a8e935cca82fd91b53877b965d42b18b2ddd57257e20fcf51c7fa1

Observation b3618530-594d-47f5-bb1a-8d0f29fdb9c4 · outbound

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

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence , pages =

Reference 45

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:0ef8e1ec4ac5266454da39a647c084cca5cf253743e2a32a53b822954173ee5a

Observation d3b4d87a-2dda-472c-b36e-cca3315fbb36 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 46

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:83305b13d33cf0f20b23f25c3446b91088868395efa10271827dc5f09198c007

Observation 91948f3c-0d74-4233-ad49-7d89acd1fd91 · outbound

This paper cites and Weichwald, Sebastian and Bongers, Stephan and Mooij, Joris and Janzing, Dominik and Grosse-Wentrup, Moritz and Sch.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs and Weichwald, Sebastian and Bongers, Stephan and Mooij, Joris and Janzing, Dominik and Grosse-Wentrup, Moritz and Sch

Reference 47

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:a9052954f27b8266d02efb01b75244cf915c0b5334a285f93879d39420407332

Observation 596c9017-b035-4621-9f63-2b93f4559401 · outbound

This paper cites 2024 , journal =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2024 , journal =

Reference 48

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:588ef99a788e9a07b938f921e04a529016a2119d6b4e36b92bdc5af5ee851718

Observation 865f4647-9303-42c3-95de-f3dd717338c5 · outbound

This paper cites Toward Causal Representation Learning , year=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Toward Causal Representation Learning , year=

Reference 49

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:c7dd975ab4f440ac125b326f2f03fba7ed40243e34e77ce486f6de02c482b61c

Observation 136f5852-cf10-4ca8-8777-ef81f7108fdd · outbound

This paper cites Journal of Statistical Software , author=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Journal of Statistical Software , author=

Reference 50

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:d1fb8878601c491ee2b004886e78a01de49c163372235da7af2ef779b636c24f

Observation 5c30975a-78b6-4e97-acbb-729ef832e145 · outbound

This paper cites and Ribeiro, Adele H.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs and Ribeiro, Adele H

Reference 51

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:80c0900015e468621a1ea34abc6fd3c074748a21ccdacf9db772f43aa9e724d4

Observation 9ec55307-6844-4fda-a171-f7adfff87d1b · outbound

This paper cites Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness , url =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness , url =

Reference 52

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:ae789c3cd8415dd1a972e8d941d52070d4c5a83aa6d7376e120bd0e2b571d35c

Observation a90356bc-ff1c-416f-9f7d-06e3a19d8b75 · outbound

This paper cites Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI) , pages =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI) , pages =

Reference 53

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:f71e6aa80b32535bc94929b42c35f3386a10082b1292937f8356e89e26174038

Observation 93150702-c542-43e6-8aa6-f49ceab99887 · outbound

This paper cites NeurIPS 2024 Causal Representation Learning Workshop , year=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs NeurIPS 2024 Causal Representation Learning Workshop , year=

Reference 54

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:21bb3b7ee6c58520eefe92dcd66a295cb95a1b21fb41e3d40ee2395f73b32b6a

Observation 87470d04-9eb1-4aa6-83fb-eed69c6bc719 · outbound

This paper cites NeurIPS 2024 Causal Representation Learning Workshop , year=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs NeurIPS 2024 Causal Representation Learning Workshop , year=

Reference 55

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:032b990fa941ea0546b64096e40ffdd23ec4f4276fef1a7509e2567f66080737

Observation 8d21cafb-a139-4dd0-90cf-5bfb2b29c125 · outbound

This paper cites The 40th Conference on Uncertainty in Artificial Intelligence , year=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs The 40th Conference on Uncertainty in Artificial Intelligence , year=

Reference 56

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:a87446c23290091885b82ac045a337886e21c0ab100ad78b0ff045d277bfefd3

Observation 7ec6e475-838f-45e7-adc6-36330a586c27 · outbound

This paper cites 2024 , eprint=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2024 , eprint=

Reference 57

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:a7db1b5c01f0549a5eaddffd21c84df75c7971d3546552801feee40ea181d323

Observation 951637b1-1d19-4e13-9957-0da6d6f4a9f2 · outbound

This paper cites Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables , url =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables , url =

Reference 58

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:b22624be4104a6a85867e92a7c1a0bead111b8b4a1337b1fe35f7de9cfda9832

Observation f434e644-8a0e-4332-9032-5ebeb3030de3 · outbound

This paper cites Confidence in causal inference under structure uncertainty in linear causal models with equal variances , title =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Confidence in causal inference under structure uncertainty in linear causal models with equal variances , title =

Reference 59

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:68ea9e9447c5e73fc5e93f0b916577ba477f7639abe7945a2bc4f71ad0c27901

Observation 435312c1-15b4-41af-91a5-eaecfbf3de15 · outbound

This paper cites Proceedings of the Third Conference on Causal Learning and Reasoning , pages =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the Third Conference on Causal Learning and Reasoning , pages =

Reference 60

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:d18b7f3dba37511018a15e7397663e8a3625c03833fbcb729996aad7ae5df5cd

Observation e33a78ac-9ad7-4d26-ab02-7cb35c838b35 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 61

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:430b1aa5a8a93065ebd5cdfccfab6f4fc104aa8d003669000f5b9573b31c160f

Observation bcffa90a-b783-4fc0-8944-1aedbf95be08 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 62

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:44c4b3306351c8f74e312ce8a07b325495ef18977da6ce7e14c4a42142a42545

Observation cff47835-2f5c-4bf7-878a-ac80ed59ed52 · outbound

This paper cites Marginal Causal Consistency in Constraint-based Causal Learning , booktitle =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Marginal Causal Consistency in Constraint-based Causal Learning , booktitle =

Reference 63

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:45e37db819ef8b569ecb64053b5b3d98d15665c4c8e0f00f8692d2b2def37a61

Observation 6a2d02fe-e96a-4bc8-a9a2-55b298d15afd · outbound

This paper cites Graph Structure and Monadic Second-Order Logic: A Language-Theoretic Approach , publisher=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Graph Structure and Monadic Second-Order Logic: A Language-Theoretic Approach , publisher=

Reference 64

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:accff46ae4a8e35313c6d9f1f5d6c3694cab0ee69eb0b1e454f1db5d0d4adb0e

Observation ee151ae5-c75f-40aa-8879-acbba673c327 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 65

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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=2026-06-28T10:00:44.468566Z digest=sha256:470fb7e70df400e855a70948cd273519e1d6fae29ae00468f6e0f0a07440c05c

Observation c4525575-c9bc-4dff-a0b5-7a47e55873c5 · outbound

This paper cites 2025 , eprint=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2025 , eprint=

Reference 66

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:211f3b5ccf160e22dda97f96bbc915199c8ff7f83732d7c9109ac853cc0e13dd

Observation 790bee95-9d5c-4635-ba49-5eaec2cb5a5d · outbound

This paper cites 2024 , eprint=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2024 , eprint=

Reference 67

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:f367bfca8652099f353fe125128274779ef1b42c71f408e89bc8a855696a1e4a

Observation 73dbf340-8f40-4908-aefa-11ba2d84e844 · outbound

This paper cites and Devijver, Emilie and Gaussier, Eric and G\".

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs and Devijver, Emilie and Gaussier, Eric and G\"

Reference 68

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:aaa3d3c278add32fe9eba3e2a48f4711b870879e8c2f449550e452a64bbeb91b

Observation b68c20d6-b8a0-4c9d-ba83-5fc269618332 · outbound

This paper cites UAI2025 , articleno =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs UAI2025 , articleno =

Reference 69

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:b5ef8fb314916ab394b9e5e2e250c62425e1a45ac8557fd57f233b581f082f2f

Observation 4e368452-ef2b-4ff4-8cbf-fe673e8437e7 · outbound

This paper cites Abstracting Causal Models.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Abstracting Causal Models

Reference 70

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local_arxiv, observed 2026-07-02T03:26:29.740286Z

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=2026-06-28T10:00:44.468566Z digest=sha256:11c2a70be3de00c5be237023f7c163c0b6143cf9b149f48330899342a31a0e11

Observation 0f1b3481-d6d8-4809-8e0c-ac9e2f1dd470 · outbound

This paper cites Causal Abstractions of Neural Networks , url =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Causal Abstractions of Neural Networks , url =

Reference 71

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:84cb232c9662ccbbd980efe5110e2f5cf42a2aac91f42dd1f4f9f2ebd081a816

Observation 7ccaa203-30d3-4e89-a6ec-047301c3ceda · outbound

This paper cites 2025 , eprint=.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2025 , eprint=

Reference 72

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:b93157e670dbb1c61a68e280d3f23f3d8b982a8a3930a04597a295d52c216546

Observation 03fe3151-b66e-4362-9ae9-38c02dbdb07d · outbound

This paper cites Napkin Graph.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Napkin Graph

Reference 73

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:00d9d6847639b9abda518d1d55b30bb1428679b031ff83a4f474c386dab102a7

Observation e04fc577-f673-4aa7-b61b-96cc19b86400 · outbound

This paper cites 2018 , publisher =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2018 , publisher =

Reference 74

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:0f2e55efac1c60bf93172c1a25c48df51f5586c0b871ba554382382c4e74b1b5

Observation c38b7604-fa05-4ecd-a793-9e8e3c42ddb2 · outbound

This paper cites and Lu, W.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs and Lu, W

Reference 75

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source=arxiv_source observed=2026-06-28T10:00:44.468566Z digest=sha256:dff937b5e0f82521daadf357355e3d08b97f63606a685caa36c2bd52c925be55

Observation 9091d1bd-7470-4dc8-8eac-431ff1cfa75d · outbound

This paper cites 2017 , author =.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2017 , author =

Reference 76

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Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs International Conference on Machine Learning , pages=

Reference 77

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Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Nephrology , volume=

Reference 78

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Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs stat , volume=

Reference 79

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Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence , pages =

Reference 80

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Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Unresolved cited work

Reference 81

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This paper cites Lauffenburger, and Garry P.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Lauffenburger, and Garry P

Reference 82

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Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs 2010 , howpublished =

Reference 83

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This paper cites Lauffenburger and Garry P.

Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs Lauffenburger and Garry P

Reference 84

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Pith citing papers

Observation 9d57f9b9-8cbc-4a11-a023-11dac6d24de6 · inbound

Verifying formulas for interventional distributions cites this paper.

Verifying formulas for interventional distributions Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

Reference 44

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A cubical formalisation of topos causal models: intervention, forcing, and a contextuality obstruction cites this paper.

A cubical formalisation of topos causal models: intervention, forcing, and a contextuality obstruction Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

Reference 13

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