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Paper Citation Record · LEDGER

Orca: Neural Operators for Causal Reasoning in Continuous Time

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.27867.

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

pith.paper-citation-record.v1
2607.27867 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:04:49.557997Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

  • verified exact2
  • verified fuzzy0
  • unresolved36
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0df7a09-5aa5-4eae-8af3-bab4d57c474a · outbound

This paper cites an unresolved cited work.

Orca: Neural Operators for Causal Reasoning in Continuous Time Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:04:44.627745Z digest=sha256:75a8bc358dfdf6c4cd8de3abbbbda95ff8d0ec385090d4299433e341c98ac764

Observation 7e2cdea9-b1c8-4924-948c-2b71c5284c32 · outbound

This paper cites Elements of Causal Inference: Foundations and Learning Algorithms , publisher =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Elements of Causal Inference: Foundations and Learning Algorithms , publisher =

Reference 2

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source=arxiv_source observed=2026-08-01T00:04:44.749825Z digest=sha256:106d819ae1e5c11993e9dce30de275db070302192b2a2bb612b1bffb433427d5

Observation 7969ad15-e85e-4990-9ec9-560de88ba06a · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Orca: Neural Operators for Causal Reasoning in Continuous Time SIAM Journal on Scientific Computing , volume=

Reference 3

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source=arxiv_source observed=2026-08-01T00:04:44.907305Z digest=sha256:9b5d987de62f3e958cb7f51831e480eee5607e0e5ce303a21559bbb1482b5076

Observation 0133e0f6-0b9e-4f96-be0e-21d739f83291 · outbound

This paper cites International Conference on Learning Representations , year =.

Orca: Neural Operators for Causal Reasoning in Continuous Time International Conference on Learning Representations , year =

Reference 4

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source=arxiv_source observed=2026-08-01T00:04:45.036211Z digest=sha256:6aa8ec52d393a09de11d9c0740b4f1f39f04f5660574bc228c28586558ab34e9

Observation 3c60ec1e-a318-4fa2-8105-a29bb5acf787 · outbound

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

Orca: Neural Operators for Causal Reasoning in Continuous Time Advances in Neural Information Processing Systems , volume=

Reference 5

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source=arxiv_source observed=2026-08-01T00:04:45.125059Z digest=sha256:2b5c1d7b70c6c874c341ef070e1248d019bd283a62b66e0daa4bb19bde367c80

Observation 7bee4bf8-b5c1-4c1c-b7a0-430b35aabb82 · outbound

This paper cites Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems.

Orca: Neural Operators for Causal Reasoning in Continuous Time Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems

Reference 6

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local_arxiv, observed 2026-08-01T00:06:24.488409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-01T00:04:45.243213Z digest=sha256:a5fe7c3de76740bb963d1375d1ccea8d294708266c74228b68ffeb3814fca595

Observation 90482987-e622-4e07-8a62-be038920f088 · outbound

This paper cites 2018 , title =.

Orca: Neural Operators for Causal Reasoning in Continuous Time 2018 , title =

Reference 7

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doi, observed 2026-08-01T00:06:24.287736Z

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source=arxiv_source observed=2026-08-01T00:04:45.364932Z digest=sha256:8368c3ebf328e53199475b3a5a994c6744e1a78c96b8e11661d01bcfc40f3ee6

Observation 606d7ace-352d-4aa8-9f8a-381bc90eb38f · outbound

This paper cites Scientific Reports , volume=.

Orca: Neural Operators for Causal Reasoning in Continuous Time Scientific Reports , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T00:04:45.470711Z digest=sha256:688b4feec82781893fbe3b554da6f350a2afe71c8282065200cf1ec4dc011231

Observation e61bb1ea-d38e-4a9b-b636-eeecf6970be5 · outbound

This paper cites International Conference on Machine Learning , pages=.

Orca: Neural Operators for Causal Reasoning in Continuous Time International Conference on Machine Learning , pages=

Reference 9

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source=arxiv_source observed=2026-08-01T00:04:45.663378Z digest=sha256:ad56ec8f1e1f0b2fc1120aeecdca9d1c693d5c6333c29237c27152618128c2c4

Observation 995e16fd-7382-486d-a07d-589abc732c93 · outbound

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

Orca: Neural Operators for Causal Reasoning in Continuous Time Journal of Machine Learning Research , volume =

Reference 10

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source=arxiv_source observed=2026-08-01T00:04:45.786622Z digest=sha256:f74cd3eab82f6af23b9e358b41d7196397e20c3e56307700dbeb589e1201f457

Observation 3f9a5b3a-c8eb-422f-bb8c-5f0d469210ba · outbound

This paper cites Nature Machine Intelligence , volume =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Nature Machine Intelligence , volume =

Reference 11

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Observation e3279af8-3c5b-4952-8728-384483c3156f · outbound

This paper cites Nature Reviews Physics , volume =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Nature Reviews Physics , volume =

Reference 12

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source=arxiv_source observed=2026-08-01T00:04:46.075210Z digest=sha256:26c29189016142633bfa30157da20a50da6814365f8c55ecd72f64865592ec23

Observation ae271732-be29-4ef3-aa82-d62d12e60b00 · outbound

This paper cites Econometrica , volume=.

Orca: Neural Operators for Causal Reasoning in Continuous Time Econometrica , volume=

Reference 13

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source=arxiv_source observed=2026-08-01T00:04:46.234846Z digest=sha256:70e911ada47e05dcacb78dd9779835610444be052458450ee7bd009675666838

Observation ec80c4ca-cc0a-4e59-9653-35af984a235a · outbound

This paper cites Econometrica , volume=.

Orca: Neural Operators for Causal Reasoning in Continuous Time Econometrica , volume=

Reference 14

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Observation 2b005cad-a2b5-459f-8424-5e77ad158ccc · outbound

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

Orca: Neural Operators for Causal Reasoning in Continuous Time Journal of Machine Learning Research , volume=

Reference 15

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Observation 59f8b4c9-6f1f-45c5-b142-7bcfcee190f7 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

Orca: Neural Operators for Causal Reasoning in Continuous Time Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 16

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Observation 92221d85-1891-41b5-8144-7cdb680a4cfa · outbound

This paper cites Nature machine intelligence , volume=.

Orca: Neural Operators for Causal Reasoning in Continuous Time Nature machine intelligence , volume=

Reference 17

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Observation 7b4d3bc4-1be5-43aa-8e58-3d4d615da780 · outbound

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

Orca: Neural Operators for Causal Reasoning in Continuous Time Advances in Neural Information Processing Systems , volume=

Reference 18

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Observation a765ffdb-51c6-4f84-9e8b-7e4b4cccc661 · outbound

This paper cites Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations.

Orca: Neural Operators for Causal Reasoning in Continuous Time Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations

Reference 19

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Observation 065b6f15-dba8-45f0-a129-df5fcf0273ae · outbound

This paper cites Universal Functional Regression with Neural Operator Flows.

Orca: Neural Operators for Causal Reasoning in Continuous Time Universal Functional Regression with Neural Operator Flows

Reference 20

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Observation 7c64500d-28d7-4fc9-804e-58c3f6d2eca3 · outbound

This paper cites FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale.

Orca: Neural Operators for Causal Reasoning in Continuous Time FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 21

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Observation eb5932cb-eb44-4747-8934-859361503954 · outbound

This paper cites an unresolved cited work.

Orca: Neural Operators for Causal Reasoning in Continuous Time Unresolved cited work

Reference 22

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Observation 7d664359-91f6-47bc-aac8-5fbb64cc77d9 · outbound

This paper cites an unresolved cited work.

Orca: Neural Operators for Causal Reasoning in Continuous Time Unresolved cited work

Reference 23

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Observation 5f224032-f7ee-40f3-bd43-0de24ae121ea · outbound

This paper cites Toward Causal Representation Learning , journal =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Toward Causal Representation Learning , journal =

Reference 24

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Observation 58002aad-b183-499d-ba95-f151c052bdf8 · outbound

This paper cites Learning Semilinear Neural Operators: A Unified Recursive Framework for Prediction and Data Assimilation , booktitle =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Learning Semilinear Neural Operators: A Unified Recursive Framework for Prediction and Data Assimilation , booktitle =

Reference 25

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Observation 8b4fc88b-beab-4d3b-afee-a506c73e3283 · outbound

This paper cites and Smola, Alexander J.

Orca: Neural Operators for Causal Reasoning in Continuous Time and Smola, Alexander J

Reference 26

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Observation eaa1b2e0-3b70-4c20-8ce2-7b33228544cc · outbound

This paper cites Nature Communications , volume =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Nature Communications , volume =

Reference 27

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Observation f9a0c00f-f7c4-4ff8-a0b2-74d5725f6e72 · outbound

This paper cites Causal Modeling of Dynamical Systems.

Orca: Neural Operators for Causal Reasoning in Continuous Time Causal Modeling of Dynamical Systems

Reference 28

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Observation 528017cb-e13f-4e7a-8bc1-f740052d9821 · outbound

This paper cites Dynamic Structural Causal Models.

Orca: Neural Operators for Causal Reasoning in Continuous Time Dynamic Structural Causal Models

Reference 29

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Observation 149ab20a-d6b2-4e60-b143-3598d835d793 · outbound

This paper cites Electronic Journal of Probability , volume =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Electronic Journal of Probability , volume =

Reference 30

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Observation 1b57801a-27c2-4914-80b5-94a28c0b6e64 · outbound

This paper cites Probabilistic and Causal Inference: The Works of Judea Pearl , pages =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Probabilistic and Causal Inference: The Works of Judea Pearl , pages =

Reference 31

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Observation 578184d9-eeae-4b6f-93ec-5a32f2584ec4 · outbound

This paper cites and Weichwald, Sebastian and Bongers, Stephan and Mooij, Joris M.

Orca: Neural Operators for Causal Reasoning in Continuous Time and Weichwald, Sebastian and Bongers, Stephan and Mooij, Joris M

Reference 32

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Observation e8f93868-f22c-4b91-9d28-89d40554b7ae · outbound

This paper cites and Peters, Jonas , title =.

Orca: Neural Operators for Causal Reasoning in Continuous Time and Peters, Jonas , title =

Reference 33

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source=arxiv_source observed=2026-08-01T00:04:48.755183Z digest=sha256:8bbe7f059e761497edb87ae0b8453c8f48f879346ad065a676a8a29206da9df4

Observation 0270bce1-15e9-4912-9c48-842b9e0a280a · outbound

This paper cites and Luo, Xihaier and Yoo, Shinjae and Kallus, Nathan , title =.

Orca: Neural Operators for Causal Reasoning in Continuous Time and Luo, Xihaier and Yoo, Shinjae and Kallus, Nathan , title =

Reference 34

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Observation 14e04ab5-dd90-49e9-bf88-d68035022b4e · outbound

This paper cites Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes , journal =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes , journal =

Reference 35

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source=arxiv_source observed=2026-08-01T00:04:49.025363Z digest=sha256:4e977609fca76952c53a1cd41d408f05b857bedaabacab334762f48c2f2f0cfd

Observation b87a8694-be09-4483-84b7-b27a1755abe8 · outbound

This paper cites The Case for Time in Causal DAGs.

Orca: Neural Operators for Causal Reasoning in Continuous Time The Case for Time in Causal DAGs

Reference 36

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source=arxiv_source observed=2026-08-01T00:04:49.177058Z digest=sha256:41fc7cc2725bc57506fb135aac67e0ddf909bf2f11315ac380cf5604356f1934

Observation 9fdc1189-b434-4f16-90be-d8c5ab0544b6 · outbound

This paper cites Peculiarities of Counterfactual Point Process Generation , booktitle =.

Orca: Neural Operators for Causal Reasoning in Continuous Time Peculiarities of Counterfactual Point Process Generation , booktitle =

Reference 37

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Observation 6156d79d-5a69-4802-bb94-f49d9e6acc78 · outbound

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

Orca: Neural Operators for Causal Reasoning in Continuous Time Advances in Neural Information Processing Systems , volume=

Reference 38

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source=arxiv_source observed=2026-08-01T00:04:49.395410Z digest=sha256:3845d42113d11bae39ec7ad9600b017eaaefa29cd7e49c16299837a7d0229444

Observation 17b63e24-627e-4495-a962-5ffd2d4c86f8 · outbound

This paper cites Nature Machine Intelligence , pages=.

Orca: Neural Operators for Causal Reasoning in Continuous Time Nature Machine Intelligence , pages=

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:04:49.557997Z digest=sha256:a7104fbac64b8e59b266bd1fbc674d33ff0fbbd247779c53c9b4300b0e5223c8

Pith citing papers

No inbound Pith citation observations are available.