Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T08:32:20.389421Z
Paper Citation Record · LEDGER
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance
As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.21089.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
Reference resolution
24 of 24 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved24
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 066c6fa2-53a6-48a2-97bc-7f725c8ae952 · outbound
This paper cites In: 2016 IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2016 IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR)
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:17.095829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7eebdbe-4b19-4203-bd0f-6e64d14a8dfe · outbound
This paper cites In: 2019 IEEE/CVF International Conference on Computer Vi- sion (ICCV).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2019 IEEE/CVF International Conference on Computer Vi- sion (ICCV)
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:17.219600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 624a54f1-1189-4dcd-b0d1-defb18641a5a · outbound
This paper cites Journal of Hydrology617, 128975 (2023).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance Journal of Hydrology617, 128975 (2023)
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:17.422710Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 092b2d33-b015-4a57-b25c-48a8f79b8e6e · outbound
This paper cites In: Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E., Garnett, R.
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E., Garnett, R
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:17.586917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0eb88f99-f1f0-46da-b628-7839c47a2462 · outbound
This paper cites In: 2017 IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2017 IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR)
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:17.710667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d471c9c5-f47d-4415-84c7-84f767c5d4e0 · outbound
This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:17.842037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a073414-dcbd-49eb-b53c-acc65139025f · outbound
This paper cites In: 2019 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2019 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR)
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:18.081263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65371b4f-fc5e-4767-8d12-db52e6f6076f · outbound
This paper cites Information Fusion115, 102722 (2025).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance Information Fusion115, 102722 (2025)
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:18.275430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eda5cc0c-c468-47b9-875a-487e321727bb · outbound
This paper cites In: 2020 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2020 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR)
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:18.443977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb40d324-2374-4b44-81f8-7fc81c6e96ac · outbound
This paper cites IEEE Transactions on Neural Networks and Learning Systems36(1), 1533–1544 (2025).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance IEEE Transactions on Neural Networks and Learning Systems36(1), 1533–1544 (2025)
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:18.598559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37d97243-3b9a-4048-884e-5373f526630e · outbound
This paper cites In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R.
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:18.743468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3da6e9c-4b80-44b4-adb3-adc27ca1bc1a · outbound
This paper cites In: 2017 IEEE International Conference on Computer Vision (ICCV).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2017 IEEE International Conference on Computer Vision (ICCV)
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:18.877127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13a87cbf-bda6-4ddb-a07e-f4c906edca6a · outbound
This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.085901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55fd6631-513b-47be-b4e6-9076a33cc7b7 · outbound
This paper cites Long-tail learning via logit adjustment.
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance Long-tail learning via logit adjustment
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.235442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51f20582-269a-4188-b014-295678f8b49a · outbound
This paper cites IEEE Trans- actions on Intelligent Transportation Systems24(7), 6955–6970 (2023).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance IEEE Trans- actions on Intelligent Transportation Systems24(7), 6955–6970 (2023)
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.345983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43f6a0dc-ba47-492d-adb7-cc762c69e0ec · outbound
This paper cites Exploiting CNNs for Semantic Segmentation with Pascal VOC.
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance Exploiting CNNs for Semantic Segmentation with Pascal VOC
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.515776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18ba2462-8b5f-44a3-b971-4f88029e388b · outbound
This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.615978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d341c2db-0812-4219-b143-a29510b00de3 · outbound
This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H.
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.786777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 482fa42d-7fd3-4a8a-a2e2-a631f5577ba4 · outbound
This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.908738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4000a23e-733f-4628-9c55-64d62b011400 · outbound
This paper cites In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recog- nition.
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recog- nition
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:19.986698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 143457a0-dc49-4210-bfd5-45d7ed6cf03e · outbound
This paper cites In: 2020 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition Workshops (CVPRW).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2020 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition Workshops (CVPRW)
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:20.074628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6846a4e8-d56d-41aa-9307-30fb51b1dbfe · outbound
This paper cites In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:20.194075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b4d4e12-d6b8-4c97-9d2c-27a7f3060704 · outbound
This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recog- nition (CVPR)
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:20.320691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be091e58-acba-4c8c-a167-73d013cdf2a5 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10795–10816 (2023).
Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10795–10816 (2023)
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:32:20.389421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.