Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T12:12:44.455418Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.04869.
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 2026-07-11T12:12:44.455418Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
100 of 300 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4b82d6ba-9df4-4d32-bc26-716774fd85d6 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the forty-second ACM symposium on Theory of computing , pages=
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Observation 19d116d9-466d-46a7-b5ed-9f23bc9a8586 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 55th Annual ACM Symposium on Theory of Computing , pages=
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Observation 3a778978-0eec-4ca7-b340-8a2900e1b72e · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 56th Annual ACM Symposium on Theory of Computing , pages=
Reference 3
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Observation 68595436-9103-4c19-a0e2-4e1720223fc6 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=
Reference 4
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Observation 735a8cd4-1c2c-4d66-b714-e1bf263b8338 · outbound
Active Learning on Adversarially Corrupted Graphs 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) , pages=
Reference 5
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Observation d042f033-6196-4509-86dc-4004d25a4ae7 · outbound
Active Learning on Adversarially Corrupted Graphs Theory of Computing , volume=
Reference 6
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Observation ad5e8502-1aab-4a38-8950-a0bb4363da07 · outbound
Active Learning on Adversarially Corrupted Graphs arXiv preprint arXiv:2412.17115 , year=
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Observation 1384e0ac-3566-4db5-bf36-f6fb7e83e5a6 · outbound
Active Learning on Adversarially Corrupted Graphs Ergun and Zhili Feng and Sandeep Silwal and David P
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Observation bcdd291e-c30b-43f7-9ecf-63b7bd076c1a · outbound
Active Learning on Adversarially Corrupted Graphs Conference on Learning Theory , pages=
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Observation 38c7cb61-eae9-4a2b-9b3f-6b6d7b504e96 · outbound
Active Learning on Adversarially Corrupted Graphs Journal of the ACM (JACM) , volume=
Reference 10
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Observation 571d2b70-45a7-4785-b5db-ee0301072d44 · outbound
Active Learning on Adversarially Corrupted Graphs Conference on Learning Theory , pages=
Reference 11
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Observation b6791e7b-1ae3-4f53-89e4-262ef0b44f22 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of The Web Conference 2020 , pages=
Reference 12
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Observation 59b6ade0-4a82-49eb-aa5a-7fdc556e0f45 · outbound
Active Learning on Adversarially Corrupted Graphs Advances in Neural Information Processing Systems , volume=
Reference 13
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Observation ffba6ca0-ff4a-4c9a-9c0f-2b09bcc4587b · outbound
Active Learning on Adversarially Corrupted Graphs 9th Innovations in Theoretical Computer Science Conference (ITCS 2018) , year=
Reference 14
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Observation c00ec95f-f673-4295-bf9e-6132ceedb50e · outbound
Active Learning on Adversarially Corrupted Graphs Advances in neural information processing systems , volume=
Reference 15
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Observation 9720d610-72a3-4b77-a3ce-f6571d518b54 · outbound
Active Learning on Adversarially Corrupted Graphs Communications of the ACM , volume=
Reference 16
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Observation ea6d9d4d-7a20-46b1-a071-94247d6108a6 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete algorithms , pages=
Reference 17
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Observation 40e85649-4be7-4ee4-b144-d1ae757239bc · outbound
Active Learning on Adversarially Corrupted Graphs 2012 , publisher=
Reference 18
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Observation 3f25e5de-61d4-4bff-b58d-f21750889acd · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=
Reference 19
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Observation 929cebff-3097-473b-a2a2-6d25021d40a6 · outbound
Active Learning on Adversarially Corrupted Graphs Outlier-robust moment-estimation via sum-of-squares
Reference 20
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Observation 6b4369cb-3cca-48a5-bc8e-e5f88f5c681c · outbound
Active Learning on Adversarially Corrupted Graphs SIAM Journal on Computing , volume=
Reference 21
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Observation 0e25df63-40c3-40ad-94b8-1a573e904ab4 · outbound
Active Learning on Adversarially Corrupted Graphs 22nd Annual Symposium on Foundations of Computer Science (sfcs 1981) , pages=
Reference 22
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Observation d4eabbc1-d1b1-471a-8f12-1d21b5dd0671 · outbound
Active Learning on Adversarially Corrupted Graphs Annals of mathematics , volume=
Reference 23
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Observation 6a7a9de1-2569-442a-bdbe-cc5c7007ab88 · outbound
Active Learning on Adversarially Corrupted Graphs Mathematische Zeitschrift , volume=
Reference 24
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Observation 22cc7fa6-dec2-4601-9a22-231441245a0c · outbound
Active Learning on Adversarially Corrupted Graphs The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=
Reference 25
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Observation 7e1f72f7-1fde-4c19-9cb6-8d24fdee3b8c · outbound
Active Learning on Adversarially Corrupted Graphs Forty-first International Conference on Machine Learning,
Reference 26
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Observation fe4e3b42-8882-4766-8f82-37b7615216f8 · outbound
Active Learning on Adversarially Corrupted Graphs Internet Mathematics , volume=
Reference 27
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Observation 39083b90-a499-44f6-9131-f500d7a13f6a · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the forty-fourth annual ACM symposium on Theory of computing , pages=
Reference 28
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Observation 4040d0e3-b31f-4564-a316-e076aa0b869c · outbound
Active Learning on Adversarially Corrupted Graphs Solving Unique Games over Globally Hypercontractive Graphs
Reference 29
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Observation 62aaf973-e9fe-4684-8a13-27e80555f06f · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing , pages=
Reference 30
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Observation ed75c37a-e140-470d-8236-6cf054244547 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=
Reference 31
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Observation 6f462c29-567f-4032-84da-a557d5e74f19 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing , pages=
Reference 32
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Observation 51782fff-f0c5-47eb-9224-32623fdba41f · outbound
Active Learning on Adversarially Corrupted Graphs 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) , pages=
Reference 33
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Observation 5f004a78-424e-4ebe-94d8-cb82d4c81e31 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of 37th conference on foundations of computer science , pages=
Reference 34
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Observation e954b366-231d-4de4-b9c8-4f2e8e4ffbc8 · outbound
Active Learning on Adversarially Corrupted Graphs 2009 , institution=
Reference 35
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Observation fb6becf9-c358-4622-adde-327bd95bc384 · outbound
Reference 36
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Observation 70c7d9fc-8479-4a3a-91ea-69136bfe7e78 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the fortieth annual ACM symposium on Theory of computing , pages=
Reference 37
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Observation f41f3dc1-f804-4722-a11f-1eb459d48b3a · outbound
Active Learning on Adversarially Corrupted Graphs Eigenvalue multiplicity and volume growth
Reference 38
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Observation 8be8c60c-171d-4d68-b7bb-b3a5244e28e4 · outbound
Active Learning on Adversarially Corrupted Graphs Czechoslovak mathematical journal , volume=
Reference 39
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Observation 372ebf5a-af3d-4bdc-b2cf-0d480aa565b6 · outbound
Active Learning on Adversarially Corrupted Graphs Journal of the American Mathematical Society , volume=
Reference 40
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Observation aa0f65e7-a226-4cee-8f5d-82ccea08128f · outbound
Active Learning on Adversarially Corrupted Graphs Geometric & Functional Analysis GAFA , volume=
Reference 41
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Observation 8aa91e07-4e71-471d-b4ab-8ef2aec425c1 · outbound
Active Learning on Adversarially Corrupted Graphs Geometry and Combinatorics , pages=
Reference 42
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Observation 864b8bd5-0899-4ab7-8094-b66de3fd11f2 · outbound
Active Learning on Adversarially Corrupted Graphs Combinatorica , volume=
Reference 43
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Observation 705b8f86-1fc2-421c-9624-33f88f8a023d · outbound
Active Learning on Adversarially Corrupted Graphs Journal of Functional Analysis , volume=
Reference 44
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Observation 5acd6842-db16-4c9c-b50c-86d0f8a60901 · outbound
Active Learning on Adversarially Corrupted Graphs Geometric and Functional Analysis , volume=
Reference 45
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Observation bf6c4cdd-8896-4f37-9285-750ee60473d3 · outbound
Active Learning on Adversarially Corrupted Graphs Annales scientifiques de l'
Reference 46
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Observation 66ce8193-4b2d-437a-a409-600c12d8a1c0 · outbound
Active Learning on Adversarially Corrupted Graphs Near-Optimal Cayley Expanders for Abelian Groups , booktitle =
Reference 47
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 26bb45ed-1b83-4040-b90d-d71604c2f182 · outbound
Active Learning on Adversarially Corrupted Graphs Journal of Combinatorial Theory, Series B , volume=
Reference 48
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Observation 3c9384f7-2836-4ceb-9ee8-293362dcfd0c · outbound
Active Learning on Adversarially Corrupted Graphs Applied Algebra, Algebraic Algorithms and Error-Correcting Codes: 8th International Conference, AAECC-8 Tokyo, Japan, August 20--24, 1990 Proceedings 8 , pages=
Reference 49
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Observation e037201f-2729-4a0f-9e88-33e5cfca9a54 · outbound
Active Learning on Adversarially Corrupted Graphs Eigenvalues of Cayley graphs
Reference 50
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Observation 94e90670-3df2-452a-b71c-474061a268c3 · outbound
Active Learning on Adversarially Corrupted Graphs Eurocomb 2003 , volume=
Reference 51
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Observation 9e0118cc-fd15-480b-b8cf-d00a4e350135 · outbound
Active Learning on Adversarially Corrupted Graphs Journal of Combinatorial Theory, Series B , volume=
Reference 52
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Observation 96c907c4-95bf-48fc-b1c2-4ee4080e9da0 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the London Mathematical Society , volume=
Reference 53
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Observation 08d2561b-2666-4838-990a-927e750577fa · outbound
Active Learning on Adversarially Corrupted Graphs Combinatorica , volume=
Reference 54
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Observation 15ac7ad3-2e7f-4d7e-9fb2-19a8424fd909 · outbound
Active Learning on Adversarially Corrupted Graphs International Workshop on Approximation Algorithms for Combinatorial Optimization , pages=
Reference 55
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Observation f288f425-ff43-42ab-9c30-ada1f3c8508d · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the twenty-fourth annual ACM-SIAM symposium on Discrete algorithms , pages=
Reference 56
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Observation e7ade0f1-cf27-43a8-84fc-6692c16c4478 · outbound
Active Learning on Adversarially Corrupted Graphs 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science , pages=
Reference 57
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Observation 2e31d054-003b-4be3-a53b-9ec680b16aae · outbound
Active Learning on Adversarially Corrupted Graphs 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science , pages=
Reference 58
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Observation 958046e8-a957-4ebb-9c15-028982e97491 · outbound
Active Learning on Adversarially Corrupted Graphs computational complexity , volume=
Reference 59
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Observation 76f17284-db1c-4631-b1e3-4d85f44bb11b · outbound
Active Learning on Adversarially Corrupted Graphs Mildly Exponential Time Approximation Algorithms for Vertex Cover, Uniform Sparsest Cut and Related Problems
Reference 60
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Observation 720d67ca-c559-48ca-bd76-d4069840416f · outbound
Active Learning on Adversarially Corrupted Graphs computational complexity , volume=
Reference 61
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Observation da55769c-abcd-4055-a05d-1a200993d8d0 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the forty-second ACM symposium on Theory of computing , pages=
Reference 62
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Observation b3c426ba-b714-4388-93bc-6131524e5c86 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the thiry-fourth annual ACM symposium on Theory of computing , pages=
Reference 63
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Observation 2c67044d-ed38-4419-b3c5-dc0bebcb231c · outbound
Active Learning on Adversarially Corrupted Graphs Journal of the ACM (JACM) , volume=
Reference 64
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Observation 30ef8aee-18de-432f-8a10-fad200027412 · outbound
Active Learning on Adversarially Corrupted Graphs Problems in analysis , volume=
Reference 65
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Observation 324c7daa-77a3-4d1d-9e6e-906edae041ec · outbound
Active Learning on Adversarially Corrupted Graphs Unresolved cited work
Reference 66
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Observation 117fee1a-f12a-4441-ad3f-6e294eb02d7c · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the thirty-eighth annual ACM symposium on Theory of computing , pages=
Reference 67
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Observation 70d094c7-a1d6-4e3a-b577-b9583a1ecf40 · outbound
Active Learning on Adversarially Corrupted Graphs 2013 IEEE 54th Annual Symposium on Foundations of Computer Science , pages=
Reference 68
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Observation 5e297f03-67df-403e-ab2d-52de79420fb6 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 56th Annual ACM Symposium on Theory of Computing , pages=
Reference 69
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Observation 3aeccbfa-3027-4de4-9455-ee21435bd840 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms , pages=
Reference 70
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Observation 740ccad4-74ca-4053-b042-4e5b71fdcfda · outbound
Active Learning on Adversarially Corrupted Graphs Unresolved cited work
Reference 71
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Observation eafad846-90d8-40e8-b970-75fb8d02f419 · outbound
Active Learning on Adversarially Corrupted Graphs Unresolved cited work
Reference 72
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Observation 2f196225-e88a-4aef-a4a5-5a080321b7a9 · outbound
Active Learning on Adversarially Corrupted Graphs Random Structures & Algorithms , volume=
Reference 73
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Observation 817bb964-d669-47b5-a4d8-7dda7215d7b8 · outbound
Active Learning on Adversarially Corrupted Graphs Journal of the ACM (JACM) , volume=
Reference 74
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Observation 0de66120-274a-424a-b16c-7ea974438526 · outbound
Active Learning on Adversarially Corrupted Graphs Non-negative Ollivier curvature on graphs, reverse Poincar
Reference 75
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Observation 067f597d-9af8-4885-a6eb-c631cd3bd171 · outbound
Active Learning on Adversarially Corrupted Graphs URl: https://people
Reference 76
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Observation dcc6b200-811f-440e-a101-7ddc04339321 · outbound
Active Learning on Adversarially Corrupted Graphs University of California, Berkeley, https://lucatrevisan.github.io/books/expanders-2016.pdf , year=
Reference 77
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Observation d8a42e15-13f1-46e4-a69f-105fb9ccbdcc · outbound
Active Learning on Adversarially Corrupted Graphs Unresolved cited work
Reference 78
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Observation 6f0df387-46bc-4647-9e92-96d92463f987 · outbound
Active Learning on Adversarially Corrupted Graphs Canadian Journal of Mathematics , volume=
Reference 79
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Observation 2a5474aa-60f6-4321-8001-61ad6ebc4203 · outbound
Active Learning on Adversarially Corrupted Graphs Combinatorica , volume=
Reference 80
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Observation b7c5bc1c-c9e3-413f-94fa-4faebe992cb5 · outbound
Active Learning on Adversarially Corrupted Graphs The independence number of a subset of an abelian group
Reference 81
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Observation 293886a7-d64a-4377-98cd-877b0ed9efbb · outbound
Active Learning on Adversarially Corrupted Graphs International Conference on Machine Learning , pages=
Reference 82
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Observation 4b9c2eba-0e55-4fef-975c-b9134007138f · outbound
Active Learning on Adversarially Corrupted Graphs Advances in Neural Information Processing Systems , volume=
Reference 83
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Observation d65a42b8-3a59-42e4-97a7-941f4335dc20 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 55th Annual ACM Symposium on Theory of Computing , pages=
Reference 84
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Observation d95066fa-6487-47a8-bd8f-e92a6ec73ff6 · outbound
Active Learning on Adversarially Corrupted Graphs On Rings of Operators
Reference 85
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Observation 3ed2ccbf-23e6-465f-9d18-daaf8a27caf2 · outbound
Active Learning on Adversarially Corrupted Graphs 2019 IEEE Symposium on Security and Privacy (SP) , pages=
Reference 86
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Observation 3d18248e-70aa-40df-a79e-61fd338003ea · outbound
Active Learning on Adversarially Corrupted Graphs Conference on Learning Theory , pages=
Reference 87
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Observation 3db50c84-da6e-41ae-8774-92ac4fe0d076 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the forty-fifth annual ACM symposium on Theory of computing , pages=
Reference 88
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Observation 2566f6a6-66a5-4b81-a858-73f38a88165a · outbound
Active Learning on Adversarially Corrupted Graphs Advances in Neural Information Processing Systems , volume=
Reference 89
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Observation ef8caf83-0c87-48ab-9500-bbe3380ca6d5 · outbound
Active Learning on Adversarially Corrupted Graphs Innovations in Computer Science (poster) , year=
Reference 90
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Observation 84438339-9cce-4951-b1d0-ea3f963e65b1 · outbound
Active Learning on Adversarially Corrupted Graphs Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems , pages=
Reference 91
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Observation 85deac74-06dd-456d-8d48-81ba4d1aa532 · outbound
Active Learning on Adversarially Corrupted Graphs rem , volume=
Reference 92
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Observation 84a8c8bb-75c7-42f9-a9e5-c40d3b5190f0 · outbound
Active Learning on Adversarially Corrupted Graphs International Conference on Machine Learning , pages=
Reference 93
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Observation a9af2ce0-1090-498f-bb49-73dc9a722a97 · outbound
Active Learning on Adversarially Corrupted Graphs 2013 IEEE 54th Annual Symposium on Foundations of Computer Science , pages=
Reference 94
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Observation ececd51e-308e-4933-9f50-a650c386ce19 · outbound
Active Learning on Adversarially Corrupted Graphs Conference on Learning Theory , pages=
Reference 95
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Observation 2284a380-e3f7-4cde-8c21-1b4fa9122a6d · outbound
Active Learning on Adversarially Corrupted Graphs Conference on Learning Theory , pages=
Reference 96
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Observation 3530462a-5608-4fed-87e1-be230a2c57a0 · outbound
Reference 97
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Observation 021fe835-f962-4b6b-a2fb-f7530b00dd62 · outbound
Active Learning on Adversarially Corrupted Graphs Advances in neural information processing systems , volume=
Reference 98
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Observation 3894ece6-c166-455c-b568-b429e8cd3b02 · outbound
Active Learning on Adversarially Corrupted Graphs Israel Journal of Mathematics , volume=
Reference 99
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Observation 835aab0c-6d84-4f6d-9d55-8b2376403223 · outbound
Active Learning on Adversarially Corrupted Graphs Conference on Learning Theory , pages=
Reference 100
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No inbound Pith citation observations are available.