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Paper Citation Record · LEDGER

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation

As of 18 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 2026-08-18T06:34:40.430872+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
  • metadata mismatch2

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:d62813f9d4a1b88376c8da95e800ca9f03b863cc40a05812da3eec8c9b804e96

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:664fc96fc584a650bee0a71aa35acbd46f5486ac2e8c223540288a3c098d4a06

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:298eec8dd9003057f23587562efc0e4b517d63ee65c27c5172abf059a86bb711

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
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local_arxiv, observed 2026-07-01T10:25:42.010783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:ce805919e06e984461da62069fa753fa510dc675021f532cf795e551204ca2be

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:3343ef6e7d7249a60450c94b094a56ddb89a628c68de9b8b84d8692b49bd3e71

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:9c7ce00e97696e213939b4226e80a68f1b01a0111d5450070efc64fa88c0ef4f

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 2026-08-18T06:34:40.430872+00:00.

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:32e9eeeeac933270e1fb521c62eda38e293d8d4e2cc621b9779730b977049d14

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:4532224c397108d25c808641112397603557063b8b46f897f83599cef05ddea4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:82783d7ce413138341d29af195b3a9c3c604f7789759c3362ed4e86094dc3d27

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:5be310e69749fc165d4375e83b03ff6acfa438f194de6cece6321bb0f6876a95

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:7ec5ef0f2a1f08d87a213ce6bf56eac384a6746785442384c7a55a2e5796c313

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:873a964f68ff4173a9b77649a77e50f71941385534a1d21083c6a15b7d36fab0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:357f07629cf6b5910eae79ff2ba6872673043da7b67c26d095414e377b2eb42b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:520c3db57d3fbc5a7550dc54c4c42a289bbd9e1b712281e854f1a8fef385e238

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:80a275126aef13a5531ddf7e73805fd738dc60f8370561c293f5ef7e7c06a502

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:ba7d73ad7064cd37aaa700ef3c24b85b82ec79429bc0701bf1f984fdbbb5c968

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:ebe3c1ab96bfa3ac1302792f13db2cade56e9008185d6fb43aeda51a7390833a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:dbcc65664f2e1bca8d46c29c8b7b2b611668c7499a7f344bc25294848812e961

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:38540a7817b1879c33bf802dc6afe1b208442a5ccdae25560615dda5419dfba1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:a5eefa4d1c5642174c12999223764f21908d23a8cf9982ae8ba7fedc3c2e64ea

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:4ff1f0443ef48a39eeb9669d46a5a61df62076118555d2781be85f3e38e0891c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T05:30:04.016376Z digest=sha256:9937207afde3c02bb64db3256c5725dd7dc6c5736f7acf1663e133d7892d3328

Pith citing papers

No inbound Pith citation observations are available.