Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T00:58:18.008077Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2606.24178.
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 2026-06-26T00:58:18.008077Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation be4873e6-8527-454c-963f-b0ef3310405c · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Knowl- edge Discovery & Data Mining (ACM SIGKDD) (2019)
Reference 1
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Observation 92fa37dc-c1a0-4a09-940d-326a1b113bcc · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2017)
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Observation dfef2a90-a628-4280-b52e-a47891870033 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR) (2016)
Reference 3
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Observation 02b02539-ce78-4112-ab2c-ca5a0123d60a · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
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Source-reported events for the cited work
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Observation b408e806-3655-409d-8b77-5763ee5d1b9a · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2022)
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Observation 15b6291c-6587-4934-880f-921960e3dad8 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Joint Conference on Neural Networks (IJCNN) (2017)
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Observation 6f9b05dd-1ff1-4b92-b865-f9fa721d63dd · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Interna- tional Conference on Machine Learning (ICML) (2016)
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Observation 338b14a3-584c-4345-830e-b72c898bb5ea · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Learn- ing Representations (ICLR) (2017)
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Observation df056319-7da0-458d-bcb8-04712c12a4ca · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2021)
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Observation 985ae821-7a34-4fb9-bc26-42e74510417c · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Computer Vision (ICCV) (2021)
Reference 10
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Observation c52c45a0-f2ea-4d15-ae88-fd78b962c54d · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2009) 16 D
Reference 11
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Observation dd306fb8-09c8-423b-9a94-08dce718ceab · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Learning Representations (ICLR) (2023)
Reference 12
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Observation ffd2b81d-054e-4eac-8e62-10297373b00b · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring International Conference on Learning Representations (ICLR) (2021)
Reference 13
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Observation 40042e87-f879-42fc-bee9-bda5006d4660 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring IEEE Transactions on Big Data (2025)
Reference 14
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Observation c1c0742a-c9f2-4589-bed6-446b01f36c14 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2024)
Reference 15
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Observation bdaca3c7-d499-410e-9bca-41b617518148 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Unresolved cited work
Reference 16
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Observation a27bfcfb-c54c-491e-a334-10cf7dafefde · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2019)
Reference 17
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Observation fbd579ea-13a9-475e-98ec-865a55b8cc62 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: ICLR Workshop on Representation Learning on Graphs and Manifolds (2019)
Reference 18
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Observation b08dbacf-9c6b-4460-8c99-870622a4c94e · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Unresolved cited work
Reference 19
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Observation 5cfd0608-fdb4-4554-a66a-f0e09bd8ffd6 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Springer International Publishing (2015)
Reference 20
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Observation bcfe11df-409c-4a25-92d4-666942eb5903 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
Reference 21
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Observation 9e4328c7-9c38-48cd-8015-c3237a84745d · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2022)
Reference 22
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Observation e6b620d8-82ed-413c-a8ef-d46ec07238f1 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Learn- ing Representations (ICLR) (2017)
Reference 23
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Observation 93a4f26b-417d-46d2-acce-4bc8c5406b4e · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Neural Computation (1997)
Reference 24
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Observation bbae5241-6cf4-46f5-a63b-c67fb1074c44 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring ArXiv (2021)
Reference 25
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Observation e1845036-1c79-41c2-9d6b-bb263d6f501a · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Neural Information Processing Systems (NeurIPS) (2015)
Reference 26
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Observation 4f8c85d0-051f-4faa-893a-1b99d68ebaa6 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Unresolved cited work
Reference 27
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Observation 4d5ad838-659f-430c-8140-81a838f4328b · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2018)
Reference 28
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Observation 4dee0cd8-c163-4613-b1ce-e87e1eb2c78d · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2023)
Reference 29
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Observation 6c3b7a32-2ca9-43b4-abac-e362fba5a13c · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring ArXiv (2026) Zero-Shot Test-Time Canonicalization 17
Reference 30
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Observation bfb64929-54ff-4f3d-abd7-4839bb6e6af7 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Interna- tional Conference on Learning Representations (ICLR) (2015)
Reference 31
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Observation 4f1a2456-d1c1-4224-820c-c06024726514 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Science (1983)
Reference 32
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Observation 0c639fb6-ee63-4674-8058-ac923e3887b7 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2020)
Reference 33
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Observation 88e2dd9d-683a-4741-b828-0925d135acf9 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: NeurIPS Datasets and Bench- marks Track (2025)
Reference 34
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Observation adc1a579-160f-4982-87b3-fd3ee7bfb86c · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
Reference 35
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Observation af57f24f-8e36-4a87-871c-7439ea8bda67 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2018)
Reference 36
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Observation 85a4a0ed-3141-4a75-b7d4-cab65d9a229b · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2020)
Reference 37
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Observation 89c30ac2-f564-4c72-beef-2e78207209c1 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Reference 38
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Observation da8b3a52-886f-45a0-8a00-3d8abbe64e9c · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2024)
Reference 39
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Observation 37789feb-d47f-4266-b0d1-19caac4d68fd · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Neural Computation (1992)
Reference 40
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Observation 3bba435f-5408-412d-890d-d551d8c423e0 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2023)
Reference 41
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Observation 73405477-0ff5-48cf-b710-015fe63dc372 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: CVPR 2024 Workshop on Equivariant Vision: From Theory to Practice (2024)
Reference 42
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Observation 467f187b-db37-499d-9d30-bb09e9165feb · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Learning Representations (ICLR) (2022)
Reference 43
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Observation 5b1be319-bc2b-4cf6-9607-ef652c34482e · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Unresolved cited work
Reference 44
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Observation 3e414e37-e44c-44e8-955b-bb6271bc7621 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring ArXiv (2021)
Reference 45
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Observation 5d1b835b-44c1-49f4-9db9-6b27db9f8e17 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring McGraw-Hill (1976)
Reference 46
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Observation bc525354-af6f-4834-a4ff-385b39803f06 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Hawaii International Conference on System Sciences (HICSS) (2024)
Reference 47
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Observation aa0eb4fd-f547-4f41-b3d4-cc55b22623d7 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring ArXiv (2026)
Reference 48
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Observation cd882b81-c21c-43c8-976f-fd7e3784a9a3 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2024)
Reference 49
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Observation 2eb216e1-9bf7-4680-af78-d4e3cc4b90a2 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring EurIPS: UPLB Workshop (2025) 18 D
Reference 50
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Observation b10ae084-6c85-4a47-a9fa-f8b5c1c080c6 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring ArXiv (2025)
Reference 51
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Observation 65102bd1-cf50-41df-846d-6cfe7a3e15e6 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Learning Representations (ICLR) (2025)
Reference 52
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Observation c784ee1c-11b5-4a91-b0e8-88f2210faeeb · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2025)
Reference 53
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Observation bb02785a-7c24-46d6-924e-ca152e7eb675 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring USSR Computational Mathematics and Mathematical Physics (1967)
Reference 54
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Observation 888418c3-38be-4a51-ab6d-8db2795863da · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring John Wiley & Sons, Inc
Reference 55
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Observation 31657678-5374-47ce-be49-87e88a51164f · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2021)
Reference 56
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Observation 9f357966-4f2f-4e7b-b831-c7068a9da08e · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: European Conference on Computer Vision (ECCV) (2022)
Reference 57
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Observation ae1c5933-09cd-49bd-9e72-7d9e14b63caa · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Machine Learning (ICML) (2022)
Reference 58
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Observation edf0766e-64ba-4623-82a8-5ccbe476fcda · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Learning Representations (ICLR) (2025)
Reference 59
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Observation 9e07615d-d5e8-4970-9546-2fdbf2000417 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion (CVPR) (2022)
Reference 60
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Observation fc8fa92f-90a6-4dff-890c-b234e1b99fcd · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: Conference on Neural Information Processing Systems (NeurIPS) (2022)
Reference 61
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Observation 9e68abb4-ff6f-456a-9cdc-8c420ab15a5c · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: ICML Shift Happens Workshop (2022)
Reference 62
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Observation c8a2c30f-2710-4898-9581-0c4dbd702d8e · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: International Conference on Learning Represen- tations (ICLR) (2023)
Reference 63
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Observation d4b89982-1493-4875-9fcc-b81629e26dc7 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
Reference 64
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Observation 4780ef85-3681-4dd8-8639-02b7ae4b880e · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring Unresolved cited work
Reference 65
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Observation df9a1558-0eea-4b42-b4c7-355719e94627 · outbound
Zero-Shot Test-Time Canonicalization using Out-of-Distribution Scoring We use a variant that samples around the neighborhood of a point per iteration
Reference 66
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No inbound Pith citation observations are available.