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Paper Citation Record · LEDGER

Causal Learning with the Invariance Principle

As of 6 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2605.13589.

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

pith.paper-citation-record.v1
2605.13589 v1

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T17:53:36.580998Z

measured 97 of 97 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

97 of 97 outbound references displayed

  • verified exact6
  • verified fuzzy87
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1a9ce5c-b240-46fb-9c5b-b8d5483213e9 · outbound

This paper cites title =.

Causal Learning with the Invariance Principle title =

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:2b973cd837688f4d78156a1342aee03ebb4f1e329df32a3237e557120039ec48

Observation 19a489d0-4986-4407-b9ca-7926b75200aa · outbound

This paper cites title =.

Causal Learning with the Invariance Principle title =

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.844951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:705762cd0d69a50320cddc3ebc644301911e6b6daa57e50bfd92449c3467c13a

Observation 8504a7c2-d886-41ab-bca9-777474e5ec60 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Causal Learning with the Invariance Principle Forty-second International Conference on Machine Learning , year=

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a57599035f4fc41d32b2bd1620a8a563c6b54026d89b3eed0951e250772032cf

Observation d5faa64e-e2b5-41d5-b541-15bd671baae2 · outbound

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

Causal Learning with the Invariance Principle The Thirteenth International Conference on Learning Representations , year=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.891411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:1ce25e364531c33efc844a4b09616f3a94c9c24126d01f969d6f5780c7724526

Observation 2fbdab20-5b6e-4d86-8f70-4096dba3828e · outbound

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

Causal Learning with the Invariance Principle The Fourteenth International Conference on Learning Representations , year=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.869102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:feed0b2849322fbdef86c35df944a2a96183bae273e173a263fa50380b166b3c

Observation fdefe711-8bea-4498-b797-9cc806515e22 · outbound

This paper cites On the Identifiability of Sparse.

Causal Learning with the Invariance Principle On the Identifiability of Sparse

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.878771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:da83dfd59f44e7264912be884029d25762e91f27742df843d9323cbd22476aed

Observation 0e811db8-0c73-401f-a7fe-240f34ae8392 · outbound

This paper cites Jacobian-based Causal Discovery with Nonlinear.

Causal Learning with the Invariance Principle Jacobian-based Causal Discovery with Nonlinear

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.873128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a8507b9fc09b857722ca8158a97b0e9faa4a9a6ae5af666f25c49d026ff8d113

Observation c2241164-22f1-4e3d-a8dc-2d5a16c3063e · outbound

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

Causal Learning with the Invariance Principle Advances in Neural Information Processing Systems , editor=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.860969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:8e4fd1b03bcd476d040d69a681c98aa33465dc3856eac8c8f0fd7a38c453fd3c

Observation e082b775-4657-426f-a3b3-74dde5fb0620 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Causal Learning with the Invariance Principle Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.812705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:c9de34ac95a4226757d18fccaab8ecf3aa65c6a0d90eea691fbfa0dd8fda03be

Observation f0c3183f-22a1-4a17-8d34-d235e41f0582 · outbound

This paper cites and Hyv\".

Causal Learning with the Invariance Principle and Hyv\"

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.850264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d50abc15309091b94eb520c9f2419cb7b4b6b6f725364102de800b0d1273597e

Observation 333af2d8-0278-463f-ac63-b4dfa51734e6 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , articleno =.

Causal Learning with the Invariance Principle Proceedings of the 37th International Conference on Machine Learning , articleno =

Reference 11

Resolution
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raw_fallback, observed 2026-05-15T23:40:26.824078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:f21f3bcf0570e50185c4be2a2e4539eb316ab221d65f170f3dfc0eb487ecc5b2

Observation c0ad2833-e2f0-4bd9-af04-f452db08b5cc · outbound

This paper cites The Annals of Statistics , number =.

Causal Learning with the Invariance Principle The Annals of Statistics , number =

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.832220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d64c9cd5cba6720523c67d6ac25e70482f02c9642daf89c13f93b4f8e61f9eed

Observation 4dad6440-747d-4d75-91e0-de008820a854 · outbound

This paper cites 2nd Conference on Causal Learning and Reasoning , year=.

Causal Learning with the Invariance Principle 2nd Conference on Causal Learning and Reasoning , year=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.854716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:0325b4b7e82beb67be81bf4ab5e1547e9833ffb0b9e2906d4a2dab248969484c

Observation 29dbeb76-6100-4d71-a527-43e8ffcccd97 · outbound

This paper cites Fourth Conference on Causal Learning and Reasoning , year=.

Causal Learning with the Invariance Principle Fourth Conference on Causal Learning and Reasoning , year=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.806332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:82ff7799417563e0b89343fb4dada19ab576ecb1f9d37fb628e71cc907da3b30

Observation 0ee0de5a-a061-4d78-847c-1419485ebf5a · outbound

This paper cites Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear.

Causal Learning with the Invariance Principle Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.114440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a012ab778585425fe7e7367435e0cc112e304d256ff79e7be5c5290b787dd91d

Observation 4309d88c-f63a-4509-bf4c-34e849312828 · outbound

This paper cites Factorizing Multivariate Function Classes , url =.

Causal Learning with the Invariance Principle Factorizing Multivariate Function Classes , url =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.118291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:5e35d59898e05aec28a4149041e24b8545329a4fe5a325e2d6eb56621b9520d3

Observation 8adb5227-b466-4c06-a8bd-ffb59b3fae9b · outbound

This paper cites an unresolved cited work.

Causal Learning with the Invariance Principle Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-15T23:40:27.125018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:80881255db33ac475d5c18657db0e5a4a6ba719a5c7a5c44889ec736101f76f3

Observation 725310f8-736c-498c-b3b4-bf3bcbe54af1 · outbound

This paper cites Multi-domain Causal Structure Learning in Linear Systems , url =.

Causal Learning with the Invariance Principle Multi-domain Causal Structure Learning in Linear Systems , url =

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.129114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:f99732c84d9a566fad80bc2a25cd08fa6df854c1b8515be87d3fbd2edab79c9f

Observation b40bd5cd-a16e-420b-8377-d0c7b4d0bfd1 · outbound

This paper cites Causal discovery from heterogeneous/nonstationary data , year =.

Causal Learning with the Invariance Principle Causal discovery from heterogeneous/nonstationary data , year =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.168289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:82ca2a5e4c9eecf8f04197a07f0e32490626d97410a402d1468ff668fab5b1f8

Observation 3acf37fc-4365-495b-9dea-a21c3019eafc · outbound

This paper cites Proceedings of the 31st International Conference on Neural Information Processing Systems , pages =.

Causal Learning with the Invariance Principle Proceedings of the 31st International Conference on Neural Information Processing Systems , pages =

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.090525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:5f64c8ff9039a28bfffb01d60aa50184a8eca18d19dfedbc52254418b2fbf737

Observation 30684f3f-d49e-4e12-bd93-668a3370e176 · outbound

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

Causal Learning with the Invariance Principle Advances in Neural Information Processing Systems , editor=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.209811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d1093ccc98776707df3035595f781db050de447b9cf83577162b4b1c60c04173

Observation 9db5bfb1-456b-429f-b9b8-d7cba16b01d7 · outbound

This paper cites and Magliacane, Sara and Claassen, Tom , title =.

Causal Learning with the Invariance Principle and Magliacane, Sara and Claassen, Tom , title =

Reference 22

Resolution
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raw_fallback, observed 2026-05-15T23:40:27.161404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:1492b7ccda7d0edf533de8f67762b1df4000d4b6ca31876ef246bea8b747fa6a

Observation a382fa2e-38d6-4ebc-8a94-754b20569ea4 · outbound

This paper cites Journal of Causal Inference , doi =.

Causal Learning with the Invariance Principle Journal of Causal Inference , doi =

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.137507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:1331251a716326687f0809554f6c710077bc8f7b3651f951f8495a0a5d4789d3

Observation 9fcd208c-543c-4425-ac44-b916a227ea3f · outbound

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

Causal Learning with the Invariance Principle Journal of the Royal Statistical Society: Series B (Statistical Methodology) , year=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.248024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:7ffa4579039d51f55027516a421f6a0acf3b29ecaf3180b16f7e74e99bc950ac

Observation ee6ae761-ab27-4c32-a828-140d65122940 · outbound

This paper cites Fourth Conference on Causal Learning and Reasoning , year=.

Causal Learning with the Invariance Principle Fourth Conference on Causal Learning and Reasoning , year=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.254002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:f48a612a1244e6d12bac92c60b1decd7e0fa0c57ee4fbfa319032f98dcbb6d58

Observation 3531ddcb-4829-4884-b11f-273576df4e58 · outbound

This paper cites Differentiable Causal Discovery from Interventional Data , url =.

Causal Learning with the Invariance Principle Differentiable Causal Discovery from Interventional Data , url =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.257452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:c025656d20cb3b0c547258c2c12f75640c01bae6844c799c46af585cee538eaf

Observation b7763fab-6ec0-461b-a249-91faa1f47946 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

Causal Learning with the Invariance Principle Transactions on Machine Learning Research , issn=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.270270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:ab53c1a76a59e43bb425ade6fc084e2a430338c227c4d4f866b4c26c13cd7396

Observation 254abb23-b517-4e6d-9b4f-e719225438d4 · outbound

This paper cites Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning , url =.

Causal Learning with the Invariance Principle Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning , url =

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.243513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:3d44cc4062813dd3cb7ff826c610b123fcd1419112cc1025c384aa033ba6f3ca

Observation 90717ed1-dadf-4fc4-ae9e-d65ba84806d9 · outbound

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

Causal Learning with the Invariance Principle 2009.Causality(2 nd ed.)

Reference 29

Resolution
metadata mismatch
doi, observed 2026-05-14T17:57:32.510811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:b9541e3f4b4befb9988564dd761ca2982c1a7e0c8ed4675a04fa28b79acf3ae6

Observation 21971d47-55cd-4f9c-a7b1-e58a3196b539 · outbound

This paper cites 2017 , isbn =.

Causal Learning with the Invariance Principle 2017 , isbn =

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.225180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:4669f5e9839754f1d08abe1aad2f6fa7d2bc12039826ed64321a48c902a26854

Observation db3ff9d2-3386-450f-bb68-e32f04bac64e · outbound

This paper cites and Glymour, C.

Causal Learning with the Invariance Principle and Glymour, C

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.229515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:0b6f5fd2d308f696fbaff6f7c6cb52d813d5959072bd00ae57c33e97adcf6a28

Observation 3c28bb90-a8e8-46ec-8cb3-510e91058e73 · outbound

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

Causal Learning with the Invariance Principle Journal of Machine Learning Research , year =

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.233256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a3e73efc6ac99fb088e85083c750a86db68e493da956e30dd23d4843ef180672

Observation fa34ca67-5298-484a-ab91-912bfcaf7f89 · outbound

This paper cites 2025 , eprint=.

Causal Learning with the Invariance Principle 2025 , eprint=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.237427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:3cba16818009163fd411cc2d4f63ebf5f99af20af18931f6f129eefdb3226105

Observation 3cb9c29e-1aae-40b0-bf6f-225ed91648ae · outbound

This paper cites Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI-05) , pages =.

Causal Learning with the Invariance Principle Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI-05) , pages =

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.216537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:05515a1686a562f1c6d40172f04b2d58cbf1eeadf06fc07983688c16fecec738

Observation a7ff5a25-9c14-47c0-bfd4-858aae1676e9 · outbound

This paper cites Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI-08) , pages =.

Causal Learning with the Invariance Principle Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI-08) , pages =

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.213676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:8f1db20697eb516875ac8cf2321c1f041651bab5737e86f61df03a184408b34d

Observation 3f717582-4555-43c8-88a7-258133dabe11 · outbound

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

Causal Learning with the Invariance Principle Journal of Machine Learning Research , volume =

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.141474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:5e4214d04bcc89aa8ffaea4befabfdd2ea3b689325e44dc074de113a0ed924bd

Observation 9907c709-18b2-45fb-8376-43d31edf85a1 · outbound

This paper cites Characterization and Greedy Learning of Interventional Markov Equivalence Classes of.

Causal Learning with the Invariance Principle Characterization and Greedy Learning of Interventional Markov Equivalence Classes of

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.053839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:2bc32361b640d5fbb2827cc1d76d1bbb5b01f2223bd3fc9c2a7ae5256772a921

Observation f907dd3d-f529-435e-ba06-8a723aac1829 · outbound

This paper cites Dimakis and Sriram Vishwanath , title =.

Causal Learning with the Invariance Principle Dimakis and Sriram Vishwanath , title =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.186638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:89de520c5da9f40e52889e333b80fd0c90d3171c5b4f4d6d2dd7a17ec19fe228

Observation a2724ff6-9222-4b33-b44c-6ccde084c370 · outbound

This paper cites Dimakis and Sriram Vishwanath , title =.

Causal Learning with the Invariance Principle Dimakis and Sriram Vishwanath , title =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.192191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:bc97e2d794c6fb5b50542645edcc53208983e4ed8f75484109516354a8e097de

Observation 33f00810-c785-4ae0-9b98-72e83ff1f677 · outbound

This paper cites Yang and Caroline Uhler , title =.

Causal Learning with the Invariance Principle Yang and Caroline Uhler , title =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.010615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:02ea86f95878041d7edc314bae452224b74f8b9d61a9e99d5dc31c20c2c6e24b

Observation 8fbc7a84-8732-4430-a754-de9042a8655e · outbound

This paper cites Yang and Abigail Katcoff and Caroline Uhler , title =.

Causal Learning with the Invariance Principle Yang and Abigail Katcoff and Caroline Uhler , title =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.174281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a5c53bb65f34b7cf48e708bea06d55817f6157f6884dfbb6be706ef3fe3dc86b

Observation b95dcb9c-c675-4b6a-ada2-1c78b3d5dfd6 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , series =.

Causal Learning with the Invariance Principle Proceedings of the 35th International Conference on Machine Learning , series =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.020968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a4689874c7c311be421a84a3bf6d31dd57425cb32670ce8a7bdfe09a2b27cbbf

Observation ccdedb8e-c1a2-4fd1-8f03-a16868502c41 · outbound

This paper cites Lindgren and Murat Kocaoglu and Alexandros G.

Causal Learning with the Invariance Principle Lindgren and Murat Kocaoglu and Alexandros G

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.121356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:1ff0ee77831303f65b10862c594d8739c7663b1dc4cac3d5e074c794eac253e2

Observation 0fd8d190-d601-4147-bcc4-23859ef6d587 · outbound

This paper cites Advances in Neural Information Processing Systems 33 (NeurIPS 2020) , year =.

Causal Learning with the Invariance Principle Advances in Neural Information Processing Systems 33 (NeurIPS 2020) , year =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.169949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:14ed5fe60cf69af4b2845ff5c6d9484d455ad4cab3d0f91c5c78d84aee8e73d0

Observation 9fb3e31d-3f92-49e3-ab2b-fb47478b76db · outbound

This paper cites Proceedings of the 11th International Conference on Artificial Intelligence and Statistics , series =.

Causal Learning with the Invariance Principle Proceedings of the 11th International Conference on Artificial Intelligence and Statistics , series =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.180541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a7dc48f9afb7ae4a5e90d351be054765d9dfc13faeacc81c51c950164f9874f2

Observation 58b2eb77-4084-4cf3-8265-982883f48486 · outbound

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

Causal Learning with the Invariance Principle Journal of Machine Learning Research , volume =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.199433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:628988cf4872e369af794aa6b353b4ff4849e9b237ef2c9f00d2cd501e608340

Observation b699dbf5-da2d-411e-9dc3-ca59cd1aec2c · outbound

This paper cites Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics , series =.

Causal Learning with the Invariance Principle Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics , series =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.219532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:97d8c829109de050b8115ecbb435da76344b2551b3d95ed242bf126fd90133f7

Observation cda6a1f3-6245-4d22-a8eb-f69d1da95955 · outbound

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

Causal Learning with the Invariance Principle Advances in Neural Information Processing Systems , editor=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.148141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:386bd0811a3751714776d46b281331959707e84fed547e1c305fdca891ddec47

Observation 798e5ec0-bad2-42fc-b84e-a289886cc9a3 · outbound

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

Causal Learning with the Invariance Principle International Conference on Learning Representations , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.159492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:7280f3fa66d9ef9c60e557e70a68f62357a0f5770230819c2458ca8f2cc05c4e

Observation 62515bc7-3c35-4b65-a832-4ec634d7452f · outbound

This paper cites Unsupervised feature extraction by time-contrastive learning and nonlinear ICA , year =.

Causal Learning with the Invariance Principle Unsupervised feature extraction by time-contrastive learning and nonlinear ICA , year =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.897427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:2d75f1fd9f62974137752e5a37523d09a2327ad4042a520afd5d3b63f8707de8

Observation dc92c5b3-3983-45f3-af60-331f90d5a104 · outbound

This paper cites Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) , series =.

Causal Learning with the Invariance Principle Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) , series =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.132627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:fb0fbebcf41c3f9248f7d89f211e94d816dafa8d4910373cb10b5a99d03f1726

Observation 73de9629-d21c-4b38-be31-16d40e1f279b · outbound

This paper cites Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) , series =.

Causal Learning with the Invariance Principle Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) , series =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.140102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:c02fae1226f14697ceaf0188c493e06162249d2ed683e748a673081b4bc1c93f

Observation 66e0e0ed-1620-4f79-86d3-53c2afc22505 · outbound

This paper cites Advances in Neural Information Processing Systems 33 (NeurIPS 2020) , year =.

Causal Learning with the Invariance Principle Advances in Neural Information Processing Systems 33 (NeurIPS 2020) , year =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.163719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:c453f23dc48f1f49c0ba97ceca39885a9d29bf18b7464e4b72c360cc6e26fca9

Observation 63534d8e-cc8f-4927-911d-3b2a697b6f58 · outbound

This paper cites Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI) , series =.

Causal Learning with the Invariance Principle Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI) , series =

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.121852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:3ad47a5c23be7b434d5c79c12448f4d8a5862d3d4910e2d7f2abe964eb41b728

Observation da4a48a2-e7f8-45e0-9511-8d866f70ddac · outbound

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

Causal Learning with the Invariance Principle Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI) , series =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.131772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:e5eaf28df1a178440b09d06951d1b6b257f7ee4bb755866df7ae13f198515581

Observation e2cee92c-bdc9-4152-ab41-fafbf7cb799d · outbound

This paper cites Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , series =.

Causal Learning with the Invariance Principle Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , series =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.173457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:16b8c5996f7e7bcf3a5da17004210111f66ecf0f909dcad1700d74c1191a243c

Observation 003361a5-4114-46fa-8afe-f51b3fe27d37 · outbound

This paper cites Advances in Neural Information Processing Systems 34 (NeurIPS 2021) , year =.

Causal Learning with the Invariance Principle Advances in Neural Information Processing Systems 34 (NeurIPS 2021) , year =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.079235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:88b982beb54394b6ecd84730802d204bc6e5f3004428a479850af8b31533f368

Observation a2175eed-30c8-4715-ac74-c2dbd548f6c0 · outbound

This paper cites Proceedings of The 35th Uncertainty in Artificial Intelligence Conference , editor =.

Causal Learning with the Invariance Principle Proceedings of The 35th Uncertainty in Artificial Intelligence Conference , editor =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.116218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d9f30405e44a8f66e90cd0bff64fc48c94cd615835faab02ac7236f9fdae9d03

Observation cbfb30c8-84be-42aa-a08b-9a0d8dc97ecb · outbound

This paper cites On Causal Discovery with Cyclic Additive Noise Models , url =.

Causal Learning with the Invariance Principle On Causal Discovery with Cyclic Additive Noise Models , url =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.108683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:9b9acdb263f91375a526ed0811a82e76635c607cbbadc5f607af7385b054172e

Observation 5dd6c68b-dbea-4ee7-9a8d-c344bb8783df · outbound

This paper cites Nonlinear causal discovery with additive noise models , url =.

Causal Learning with the Invariance Principle Nonlinear causal discovery with additive noise models , url =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.205988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:3e676dc7614b81331c09c35bade90bac68d10d3e69ac8dd20d683f18089a98cd

Observation c2d56ec0-81b5-4888-9050-9a86c02103f1 · outbound

This paper cites On the identifiability of the post-nonlinear causal model , year =.

Causal Learning with the Invariance Principle On the identifiability of the post-nonlinear causal model , year =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.266333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:f3dee27f4eda69aa45ec10581e8c4f99f4046130066db390e8eedae93221fd48

Observation f78b2be0-e3f9-4788-8412-3a639823974c · outbound

This paper cites ICML 2024 Workshop on Structured Probabilistic Inference.

Causal Learning with the Invariance Principle ICML 2024 Workshop on Structured Probabilistic Inference

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.094724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:14ab6220aaec72a5fe75ea128a32cca8f576f334c3a9b1d78c52359cbfb93b4d

Observation 270bc1b5-3658-466e-9ebb-59c7b271a9b2 · outbound

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

Causal Learning with the Invariance Principle International Conference on Machine Learning , year=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.081096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:bfdbbd7ebf9b1d929fce5d79960726ecb2219098a478247039ab36e96e619e41

Observation 56a7d094-c8b8-4743-a90b-923ee1f54c0a · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Causal Learning with the Invariance Principle Forty-second International Conference on Machine Learning , year=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.098976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:1d5ef3c0c0440b8079428de4b0ac370c8400da44974f057687aa7d3b261761ba

Observation 77d9aaeb-e38c-4ac6-b88c-363662bda197 · outbound

This paper cites Strobl and Thomas A.

Causal Learning with the Invariance Principle Strobl and Thomas A

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:57:32.490929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:33bd8360f114b3183d8c2429621214cb64d9e2787322a4ab655bb825fb42a6bd

Observation 363bde90-5cae-4eb0-9aee-73c948950c3c · outbound

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

Causal Learning with the Invariance Principle International Conference on Learning Representations , year=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.076861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:4d3a80f5ad480a64736843aa556fcd765fa8f0451b143ee03be4e69db00d6d01

Observation f91d1d8b-2991-4f3c-a893-5d6a44c660e1 · outbound

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

Causal Learning with the Invariance Principle Proceedings of the Second Conference on Causal Learning and Reasoning , pages =

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.109054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:50549d2f32ca9ae796409e1448b36bd16552e7b35edbe4a28d7f6358c609cd95

Observation 184a4ba4-d94b-4f71-80d0-022372744f90 · outbound

This paper cites Mooij and Dominik Janzing and Bernhard Sch.

Causal Learning with the Invariance Principle Mooij and Dominik Janzing and Bernhard Sch

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.104992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:998bb057ab67879c525863908ff0e53a41c8e9138f8c8be854d4c4994dc17d32

Observation f658ba5b-9891-42b6-962e-1ae27b0c98eb · outbound

This paper cites Lauffenburger and Garry P.

Causal Learning with the Invariance Principle Lauffenburger and Garry P

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.886968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:50d6c4a3607f2994b4b781a564913a0d3a3d1427fce46c888a1a15a1ec8e046c

Observation 1e8dbe19-f828-4d2c-9793-70aba74eb6c7 · outbound

This paper cites BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions , url =.

Causal Learning with the Invariance Principle BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions , url =

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.260781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:b2ca91ea4497ccb65f59de0d5a65733d6fa38b232e28586d580f661b7d3fdf83

Observation 2fc08c29-f14b-42a8-b954-d2c29574d8af · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Causal Learning with the Invariance Principle Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.127230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:0b35d359808ed0d0abc6ced210d701f7ba08564c42e46e1a2690ba58b91dd64d

Observation 7f70c8bc-bc7b-47b8-bca8-2959b5ad6045 · outbound

This paper cites Score-based Causal Representation Learning: Linear and General Transformations , journal =.

Causal Learning with the Invariance Principle Score-based Causal Representation Learning: Linear and General Transformations , journal =

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.067949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:f6e2d6d11f876837ccfc473e316cae85d733f592ecb7b776c55fcb84f53bf7a8

Observation d70f2844-06e4-4391-87e3-003a02a968a2 · outbound

This paper cites Mooij and Jonas Peters and Philip Versteeg and Peter Bühlmann , title =.

Causal Learning with the Invariance Principle Mooij and Jonas Peters and Philip Versteeg and Peter Bühlmann , title =

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.104408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:c1bb341a78fe253a1cc3206c3d8a5b06a15fa55ff1513cb3ca56f16b1c8a39b1

Observation 255fa3a1-affd-4b18-8088-bf2c11214f13 · outbound

This paper cites bioRxiv , pages=.

Causal Learning with the Invariance Principle bioRxiv , pages=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.293670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:78b20a41fd3a88041610a6ebda77460441dbd2ebf05169d3dc2450f452885a0c

Observation 0056342b-2e88-4661-abbb-dde97faecedb · outbound

This paper cites Nature Methods , pages=.

Causal Learning with the Invariance Principle Nature Methods , pages=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.045052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:cb1c455ceb28e7eb54a6b3d9b08b6030311a38b897755d1b41ec6b5cc02b4693

Observation 5c15e235-5148-4199-9440-5d483261a529 · outbound

This paper cites Conference on Causal Learning and Reasoning , year=.

Causal Learning with the Invariance Principle Conference on Causal Learning and Reasoning , year=

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.005730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:8d8386e4f23b0c83f3844c4ec28f5eef8dc0fa148741e82daf5b6d20400a0a6c

Observation 8cb4ece0-928f-4ca2-877c-e2d3992636bc · outbound

This paper cites Likelihood-Free Overcomplete ICA and Applications In Causal Discovery , url =.

Causal Learning with the Invariance Principle Likelihood-Free Overcomplete ICA and Applications In Causal Discovery , url =

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.010185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:e7915d1c8c47143c1434e9e49083418cf21d17a21d7300e16eb3055af71dd1c6

Observation a704e944-8cd5-424a-a03c-ebabb97dd6af · outbound

This paper cites an unresolved cited work.

Causal Learning with the Invariance Principle Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-05-15T23:40:27.024787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a7d27243242d9125dd93e43bbfff1a2cda65d019c11dc0972d7a4c39ede2cd0b

Observation ba8909e2-f4d4-4bbd-af1a-9281c4d84900 · outbound

This paper cites Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634.

Causal Learning with the Invariance Principle Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:57:32.505845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d60bbc1fce75b19ab8b242c7549e315d54ddbd3f4e5639ee7d06374e97b1be6f

Observation 92baeacf-70dc-418d-903e-0dcf3ca5edb9 · outbound

This paper cites Natural Experiments , isbn =.

Causal Learning with the Invariance Principle Natural Experiments , isbn =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.157491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:57e180c4ebfd5436df241c5493cfc1206187ca44ff3042930805f43ddf587b8b

Observation 4b30d606-31af-40f4-9d6e-4f745fb86370 · outbound

This paper cites Identifiability of latent-variable and structural-equation models: from linear to nonlinear.

Causal Learning with the Invariance Principle Identifiability of latent-variable and structural-equation models: from linear to nonlinear

Reference 81

Resolution
verified exact
doi, observed 2026-05-14T17:57:32.515341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d1ad022c8d953dc2d39c63955cf79b2a4b42ae2b614fbdfe01f90ed581915712

Observation d5078c70-d1cf-42e4-adf2-d9f296d32f9e · outbound

This paper cites Proceedings of The 27th International Conference on Artificial Intelligence and Statistics , pages =.

Causal Learning with the Invariance Principle Proceedings of The 27th International Conference on Artificial Intelligence and Statistics , pages =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.969865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d1952f43ad4ba219ba0018f889b4838be37f907ebee0ef0edd54e6d7acf570a2

Observation 09c8fbb1-c0ba-4bb3-89eb-4430313bc12a · outbound

This paper cites Proceedings of The 28th International Conference on Artificial Intelligence and Statistics , pages =.

Causal Learning with the Invariance Principle Proceedings of The 28th International Conference on Artificial Intelligence and Statistics , pages =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.990125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:7639cea81fe1c0ffcf8b17e031f694eef68b88727f9d57d9834580cf12068249

Observation bac8068a-fdca-41c8-88e3-91d53efe480b · outbound

This paper cites an unresolved cited work.

Causal Learning with the Invariance Principle Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-05-15T23:40:27.016621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:17e904df36af67bd6d23e85aeab2ef04f19efe731127e6e412ca7d328e4b0dee

Observation 005fe1a6-3b87-4ff3-a64c-b1277e8927bd · outbound

This paper cites Assumption violations in causal discovery and the robustness of score matching , url =.

Causal Learning with the Invariance Principle Assumption violations in causal discovery and the robustness of score matching , url =

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.986982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:9a7de2812e492116208af7181d69a448ecbecacf3d8632878b317c9511f84ea7

Observation d50d72da-56f1-4578-91cd-ab5944c2504e · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Causal Learning with the Invariance Principle Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.034515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:b9d775cd6433067773384fc3b522f846b8e70224a91b1136eaad1fe8ac68038c

Observation dc3889a2-e1f0-4d83-a7ca-004d437c0e92 · outbound

This paper cites Biometrics , volume =.

Causal Learning with the Invariance Principle Biometrics , volume =

Reference 87

Resolution
verified exact
doi, observed 2026-05-14T17:57:32.495224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:c3d63ed7b567738b43d00270f0dbf0334363b5dc434f473a375773df44395bb5

Observation 55341d50-d673-443e-9e2f-b9dbfb23980b · outbound

This paper cites CAM: Causal Additive Models, high-dimensional order search and penalized regression , volume =.

Causal Learning with the Invariance Principle CAM: Causal Additive Models, high-dimensional order search and penalized regression , volume =

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.977323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:1325a43b654d7575d31fd78d819d323e4774321945d35e3c99cff5e35c1d9526

Observation 0e0d4975-3066-4f95-afba-375164425c56 · outbound

This paper cites Estimation of Non-Normalized Statistical Models by Score Matching , journal =.

Causal Learning with the Invariance Principle Estimation of Non-Normalized Statistical Models by Score Matching , journal =

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.966650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:4e26920c01a330879263701158400505dd111632cb389afc930815fe065ce046

Observation 2492548f-658b-4115-bac3-b14a7b7b5935 · outbound

This paper cites A Kernel Statistical Test of Independence , url =.

Causal Learning with the Invariance Principle A Kernel Statistical Test of Independence , url =

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.933832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:72a60aa255c0e5aefbc0e4c7c9f3dfaa89b84631c49b97dda3d69708363de75b

Observation 9c51d681-e3f4-45ce-9c6d-42e6bb40190c · outbound

This paper cites Kernel-based Conditional Independence Test and Application in Causal Discovery , journal =.

Causal Learning with the Invariance Principle Kernel-based Conditional Independence Test and Application in Causal Discovery , journal =

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.091374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:9e20623898d1263ce8391e893a7c0ca7e7a0047596a94fb3f38db12a017e1d0b

Observation 93c7d6df-80ce-4bab-8bd3-a3aea1c86ff9 · outbound

This paper cites Independent component analysis, a new concept?Signal Processing, 36(3): 287–314.

Causal Learning with the Invariance Principle Independent component analysis, a new concept?Signal Processing, 36(3): 287–314

Reference 92

Resolution
verified exact
doi, observed 2026-05-14T17:57:32.485027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a5ee659b26753c194abbd5b20611b636d6074171084d7ac21a113a7368ba1769

Observation cc3d85e7-3421-43a6-9584-14e4129670ea · outbound

This paper cites Nonlinear independent component analysis: Existence and uniqueness results.Neural Netw., 12(3):429–439, apr 1999.

Causal Learning with the Invariance Principle Nonlinear independent component analysis: Existence and uniqueness results.Neural Netw., 12(3):429–439, apr 1999

Reference 93

Resolution
verified exact
doi, observed 2026-05-14T17:57:32.499636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:d32664ec974a215a1e3db0304a3445d8db40a62e141ca63a5f3bafcc44e23277

Observation f5aaa767-1d04-407d-a444-dd14b1a89262 · outbound

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

Causal Learning with the Invariance Principle Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.029610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a57649afd4387dcfc9b12e02622412ae966c877f890d345f84ae799b9343390f

Observation ede7483c-7f48-4b6a-a3be-5527e5730b48 · outbound

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

Causal Learning with the Invariance Principle The Thirteenth International Conference on Learning Representations , year=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.025445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:36741b9c839a62786931cce95efaa058c38a8323ace38d80a8ba176e1889152c

Observation c288c3ec-94de-49da-85ba-f039c469e0a3 · outbound

This paper cites and Bühlmann, Peter and Yu, B.

Causal Learning with the Invariance Principle and Bühlmann, Peter and Yu, B

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:26.990071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:a709036102f58b7f876bc86712566b208205f063a49101c04828c90b8f6ada5b

Observation f124560f-a8f6-41d9-899d-de97fe21b71c · outbound

This paper cites 2026 , eprint=.

Causal Learning with the Invariance Principle 2026 , eprint=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T23:40:27.038562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-14T17:53:36.580998Z digest=sha256:93993fead009db3e2c62ab0aa29ecbe42b42a28efa424748b1c330f040cb4816

Pith citing papers

No inbound Pith citation observations are available.