Paper Citation Record · LEDGER

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.31609.

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

pith.paper-citation-record.v1
2606.31609 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:30:04.016376Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

42 of 42 outbound references displayed

verified exact2
verified fuzzy36
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6baa7fbc-723d-4d04-8975-e26fdd579dc5 · outbound

This paper cites RadSegNet: A Reliable Approach to Radar Camera Fusion.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation RadSegNet: A Reliable Approach to Radar Camera Fusion

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:25:41.998733Z

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Observation ad5a3a07-35cc-4a36-a8c6-b933a16d4632 · outbound

This paper cites In: 2020 IEEE international conference on robotics and automation (ICRA).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: 2020 IEEE international conference on robotics and automation (ICRA)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.025260Z

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Observation 2af48fbc-7c2c-4e06-81ee-7b4c5fe3e910 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the European conference on computer vision (ECCV)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.021200Z

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Observation 6d088631-4225-4725-a277-fe89dbb3f818 · outbound

This paper cites an unresolved cited work.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Unresolved cited work

Reference 4

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Observation 6fc8c982-5b5b-40a2-9570-a53ee735c53f · outbound

This paper cites Ad- vances in neural information processing systems26(2013).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Ad- vances in neural information processing systems26(2013)

Reference 5

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Observation 9367c8c0-6db3-43fa-bd5e-e81c2155ef91 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.999892Z

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Observation 8a5f28c0-c0f9-40cb-a169-67de42408b71 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems22(3), 1341–1360 (2020).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Transactions on Intelligent Transportation Systems22(3), 1341–1360 (2020)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.943079Z

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Observation 29f704b8-35dc-4c1c-a778-00a8c4eac817 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the AAAI conference on artificial intelligence

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.003759Z

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Observation 14cc2d4f-b425-4397-905a-7fb44ec99db4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.019259Z

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Observation fa9d1ffa-e0f9-4760-a14e-691e5a8232bf · outbound

This paper cites IEEE Sensors Journal21(4), 5119– 5132 (2020).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Sensors Journal21(4), 5119– 5132 (2020)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.913250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d4582db-c5e8-4e3a-acfc-0d80418cf47a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.031583Z

Source-reported events for the cited work

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Observation 31920c6b-2f78-4e76-8a09-160d8faba903 · outbound

This paper cites IEEE Transactions on Instrumentation and Measurement72, 1–12 (2022).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Transactions on Instrumentation and Measurement72, 1–12 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.978251Z

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Observation a3bb7e8e-094e-4b2b-9ca0-3d798351d92c · outbound

This paper cites IEEE Trans- actions on Intelligent Vehicles8(4), 3012–3025 (2023).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Trans- actions on Intelligent Vehicles8(4), 3012–3025 (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.927343Z

Source-reported events for the cited work

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Observation 3b03bab1-fbe9-4e5a-be21-fdefffd2749c · outbound

This paper cites In: 2020 IEEE Intelligent Ve- hicles Symposium (IV).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: 2020 IEEE Intelligent Ve- hicles Symposium (IV)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.951483Z

Source-reported events for the cited work

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Observation 1f6e0db9-b2e3-4dc9-aa48-1cf2937f583a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Adam: A Method for Stochastic Optimization

Reference 15

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Observation 18d8422a-c86e-438e-a690-ac49919169a7 · outbound

This paper cites IEEE Robotics and Automation Letters (2025).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Robotics and Automation Letters (2025)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.932461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f269c1c-d478-4694-a4a5-0bb9f95fc988 · outbound

This paper cites an unresolved cited work.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd55065d-9a40-4727-a3bf-76fad49da568 · outbound

This paper cites In: 2017 IEEE intelligent vehicles symposium (IV).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: 2017 IEEE intelligent vehicles symposium (IV)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.015498Z

Source-reported events for the cited work

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Observation 99aafab8-2913-41fe-843d-406e66488246 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.916684Z

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Observation 7c4d7b25-d7c8-4b51-a3a4-1121831b7934 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.975559Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 08be3cdb-f7dd-4c88-9d56-405b3ddbf440 · outbound

This paper cites In: 2020 25th International Conference on Pattern Recognition (ICPR).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: 2020 25th International Conference on Pattern Recognition (ICPR)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.924747Z

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Observation d877ef15-9ea3-444b-89c2-954f13f85fbe · outbound

This paper cites IEEE Robotics and Automation Letters5(2), 1263–1270 (2020).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Robotics and Automation Letters5(2), 1263–1270 (2020)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.919291Z

Source-reported events for the cited work

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Observation afbc36bc-04cb-4c4c-b9ae-71b2851902bc · outbound

This paper cites Now Foundations and Trends (2019).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Now Foundations and Trends (2019)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.007570Z

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Observation a1761b83-945b-4d3e-85ab-1e064bf353a4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.962018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bfca3354-e09d-46a0-b819-081ebf34c12c · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: International Conference on Medical image computing and computer-assisted intervention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.946274Z

Source-reported events for the cited work

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Observation 924e2cdb-7f08-4974-9661-7b5a5c4606d5 · outbound

This paper cites In: 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: 2021 IEEE 24th International Conference on Information Fusion (FUSION)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.017352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7324a37-6c8c-4e23-8d6c-5b82dcd803bd · outbound

This paper cites Handbook of Numerical Analysis24, 407–471 (2023).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Handbook of Numerical Analysis24, 407–471 (2023)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.011193Z

Source-reported events for the cited work

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Observation 2b7550ae-d46e-499e-b5dd-c751ab4c5971 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.984632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 093ee702-6e61-4538-94dd-62fe2c641279 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.023202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3864d63a-08cf-43ea-b85b-f56aab3a9faa · outbound

This paper cites In: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.929664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ffaff33c-a406-446b-89ec-5b21820adf26 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.029687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2954a62f-efaf-4f57-8be5-07ddc455d261 · outbound

This paper cites Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:25:42.004623Z

Source-reported events for the cited work

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Observation 59d02e6e-d5cf-4a3d-84ee-490b62d05598 · outbound

This paper cites Advances in neural information processing systems32(2019).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Advances in neural information processing systems32(2019)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.967749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe10c0c1-9133-4c9b-be6c-01d65d1c8b5f · outbound

This paper cites In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.936293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28607038-0f30-43a2-8d95-46f1602a0078 · outbound

This paper cites IEEE Transactions on Intelligent Vehicles9(1), 2094–2128 (2023).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Transactions on Intelligent Vehicles9(1), 2094–2128 (2023)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.954448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 197a0cbc-e748-41ed-866f-88b2f4c6b60d · outbound

This paper cites In: 2021 18th Conference on Robots and Vision (CRV).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: 2021 18th Conference on Robots and Vision (CRV)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.013220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fcd9cf5c-ac0f-4e96-954c-92fa868f0771 · outbound

This paper cites Sparse Attention with Linear Units.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Sparse Attention with Linear Units

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:25:42.001428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8df64b82-34b6-4714-84d2-db621699a7cf · outbound

This paper cites In: ICASSP 2020-2020 IEEE Interna- tional Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: ICASSP 2020-2020 IEEE Interna- tional Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.987285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 11ee8e5d-c3ee-44ff-b2e2-676ac729e24b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:56.027676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d0350cc-a7e1-4a5d-b6f0-0cec5bda5fda · outbound

This paper cites IEEE Sensors Journal19(16), 6811–6821 (2019).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Sensors Journal19(16), 6811–6821 (2019)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.958268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3d8bff1-6bf2-4e53-ae2b-12d8f7aa8aad · outbound

This paper cites IEEE Sensors Journal18(8), 3278–3289 (2018).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation IEEE Sensors Journal18(8), 3278–3289 (2018)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.965008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10409e82-32eb-42f0-bb09-c7dc1c060661 · outbound

This paper cites Advances in neural information processing systems19 (2006).

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation Advances in neural information processing systems19 (2006)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T21:42:55.993027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.