Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T23:35:59.461884Z
Paper Citation Record · LEDGER
As of 2 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.03839.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T23:35:59.461884Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 75cf5007-8dac-45f8-ae9e-83322af1fe4b · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Invariant Risk Minimization
Reference 1
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Observation 8a67fc4f-bb40-44bf-976b-9806e3245e76 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Proceedings of the IEEE , volume=
Reference 2
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Observation 681ca05b-ba60-4998-95c2-5b9a4ba91ed2 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 3
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Observation 0fdbd51f-1874-4c7f-9c21-750c92c56782 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning 2015 , howpublished=
Reference 4
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Observation 58d50ea6-b176-4b3f-8ddd-1e43906b3d2d · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Advances in Neural Information Processing Systems , volume=
Reference 5
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Observation 638f12e2-86c8-47ca-9fc1-21cb46e9cb0b · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Unresolved cited work
Reference 6
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Observation 71d57998-98d8-43fc-9669-29cc782e6460 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning European Symposium on Artificial Neural Networks , pages=
Reference 7
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Observation a2d36f57-2e19-4261-91d9-9f3b92aac61b · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Journal of the Royal Statistical Society: Series B , volume=
Reference 8
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Observation ebb3bd38-792f-4064-9806-34e1ad0756f1 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Journal of the Royal Statistical Society: Series B , volume=
Reference 9
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Observation bf8bc931-909d-412e-8167-ec576e1eb1c7 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Journal of the Royal Statistical Society: Series B , volume=
Reference 10
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Observation 10349108-5bbe-4d4f-b6ce-a681f9321f1f · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Journal of Machine Learning Research , volume=
Reference 11
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Observation 503d921e-42dc-42c2-a71e-8da42906c81b · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Journal of Machine Learning Research , volume=
Reference 12
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Observation 5d8ebd08-cb15-496f-8fdb-0e9f2ed17c52 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Learning Representations , year=
Reference 13
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Observation 55799810-18b7-4399-972a-e0a301630f0c · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Learning Representations , year=
Reference 14
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Observation e7e88847-7644-4356-9e6e-4b1368e38e11 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning AAAI Conference on Artificial Intelligence , year=
Reference 15
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Observation 93cfeb4f-2b33-44f3-8235-3ddfc4db659d · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Learning Representations , year=
Reference 16
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Observation e311853a-eef3-4208-be79-d30e99c8d76f · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Learning Representations , year=
Reference 17
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Observation c56c7f57-b453-44c3-a871-d1c47c54a484 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Advances in Neural Information Processing Systems , volume=
Reference 18
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Observation 0b317b18-b2e2-40c0-a3b5-1b81432b2948 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=
Reference 19
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Observation 545430f5-b69a-400d-9310-3e51cd72ef32 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Advances in Neural Information Processing Systems , volume=
Reference 20
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Observation a60f8b6b-a54d-40e1-a356-4e4a959a400c · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Harvard Journal of Law & Technology , volume=
Reference 21
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Observation d2506787-66f9-4daf-a69a-ea2471c5fd63 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning IEEE Transactions on Medical Imaging , volume=
Reference 22
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Observation d706ca91-97d3-4d80-bbe2-3721cd7a145d · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Advances in Neural Information Processing Systems , volume=
Reference 23
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Observation 608d306b-9723-409c-a547-c9da0c01a150 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning IEEE Transactions on Signal Processing , volume=
Reference 24
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Observation 91e3b123-60bc-46fb-a5c7-18ea330e89be · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Electronics , volume =
Reference 25
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Observation 751fdca9-e579-4aa9-a823-67ca4ddceeec · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Scientific Reports , volume=
Reference 26
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Observation 98c401fe-5086-4ad3-a1d1-207b4dcb8a10 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Scientific Reports , volume=
Reference 27
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Observation fa0cacfe-feec-4b35-896f-273d253cc4fb · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Scientific Reports , volume=
Reference 28
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Observation 27515410-1a0c-4db5-b29b-8027036b3f99 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Scientific Reports , volume=
Reference 29
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Observation 67d88b6f-73fa-468c-91fa-22dbec3e66ae · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Nature Machine Intelligence , volume=
Reference 30
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Observation b6c2fb35-8d51-4afc-a807-d2f689378e6a · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Nature Communications , volume=
Reference 31
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Observation 9610bc58-b42e-4a4a-a9e2-c8d477f5630d · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Nature Communications , volume=
Reference 32
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Observation 9655570d-e174-419f-9850-3b5a2e949774 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Science , volume=
Reference 33
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Observation 0162940c-e188-4c69-9d46-ede8101031ea · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Nature Communications , volume=
Reference 34
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Observation 5128ef16-d21e-4657-9a32-0a738baa8859 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Scientific Reports , volume=
Reference 35
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Observation 308bf8b3-7194-45ad-ba66-01f2c0aa3437 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Nature Communications , volume=
Reference 36
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Observation caa5d086-aa87-44f3-b9b9-6eeb820b03a3 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Proceedings of the National Academy of Sciences , volume=
Reference 37
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Observation 71b6f8da-909f-4103-b1c8-48661cbe4c74 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Machine Learning , pages=
Reference 38
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Observation a2fb73e0-de8b-41cf-96d0-5ccfab20393e · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Machine Learning , pages=
Reference 39
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Observation ed740534-a86c-433b-aee3-3ee8928a4296 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Advances in Neural Information Processing Systems , volume=
Reference 40
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Observation 3039aa35-1fb1-43e2-bdc2-b06f6d193d11 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Learning Representations , year=
Reference 41
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Observation 9dfcaad7-5f3c-4a4e-b58c-5c7149951140 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Generating Long Sequences with Sparse Transformers
Reference 42
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Observation ab995596-c766-4928-ad10-5bc842fc1b0c · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Advances in Neural Information Processing Systems , volume=
Reference 43
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Observation a8a2f91b-cce7-4cba-ad87-e90bc8ee40b5 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 44
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Observation df36add4-4f09-4562-a5db-210171c934c7 · outbound
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning International Conference on Learning Representations (ICLR) , year=
Reference 45
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No inbound Pith citation observations are available.