{"as_of":"2026-08-09T09:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dab2691afe9a3cc39541b8cf022297ec91ba508fb5ebbc3ad5961e813a884358","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:56:56.914338Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.05550/citation-record","integrity":"/paper/2502.05550/integrity","json":"/paper/2502.05550/citation-record.json","paper":"/paper/2502.05550"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.291909Z","title":"An overview of radar clutter simulation","venue":null,"work_id":"a8f85e4c-7f40-470f-965d-550caa4a8fd4","year":2018},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.804792Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:773e18a02791084193f392a01f3bb9f51307e5da862615c8ce3e2cb2a8fde46e","observation_id":"77f0969c-5711-44c5-bb43-fe1382db4501","resolution":{"observed_at":"2026-08-08T18:56:57.296539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04242","last_updated":"2024-04-26T10:56:42Z","snapshot_observed_at":"2026-07-06T15:39:37.586787Z","submitted_at":"2023-06-07T08:33:00Z","title":"4D Millimeter-Wave Radar in Autonomous Driving: A Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04242","snapshot_observed_at":"2026-08-08T18:56:56.810122Z","title":"4d millimeter-wave radar in autonomous driving: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.810122Z"},"links":{"cited_paper":"/paper/2306.04242","citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:59ee95d3802045128fc71f399eed150461edd4efec3a42abcfc38c463a42c92a","observation_id":"099e532f-4aa7-409e-8567-841bd2a614de","resolution":{"observed_at":"2026-08-08T18:56:56.810122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.277154Z","title":"Rpfa-net: A 4d radar pillar feature attention network for 3d object detection","venue":null,"work_id":"247b5569-2317-43d3-8709-f49e7cdc3e57","year":2021},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.815394Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:542598eea3b00edbb09756be0f70a73340945f2fdbec9d8278dde48350af5513","observation_id":"f469d4da-7808-4e5c-abd8-ba5c06a8742b","resolution":{"observed_at":"2026-08-08T18:56:57.281973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03015","last_updated":"2024-11-27T16:50:46Z","snapshot_observed_at":"2026-07-06T17:55:21.083912Z","submitted_at":"2024-04-03T18:54:27Z","title":"DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03015","snapshot_observed_at":"2026-08-08T18:56:56.820146Z","title":"Dpft: Dual perspective fusion transformer for camera-radar-based object detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.820146Z"},"links":{"cited_paper":"/paper/2404.03015","citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:fbe138ad30ffe64a8c0a2d7133ab10e19594aabe90709afbc07a91194109a537","observation_id":"872b5de0-0273-4ee8-a943-f349b9c91083","resolution":{"observed_at":"2026-08-08T18:56:56.820146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.262660Z","title":"Introduction to 4d radar: Hard- ware, mimo, signal processing, dataset, and ai","venue":null,"work_id":"8125fa08-4758-4da1-b3ca-85d2afc852cc","year":2024},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.824987Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:e6e26c7d065d35d5749b11f7b7ea48ae09c65c121d7ebd585c3e81c20ba0e00a","observation_id":"ccad4c98-1ab8-4327-bd89-5bb83396838c","resolution":{"observed_at":"2026-08-08T18:56:57.267214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04861","last_updated":"2025-04-21T08:37:24Z","snapshot_observed_at":"2026-07-06T16:58:43.934362Z","submitted_at":"2023-12-08T06:31:19Z","title":"Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.04861","snapshot_observed_at":"2026-08-08T18:56:56.829820Z","title":"Exploring radar data representations in autonomous driving: A comprehensive review","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.829820Z"},"links":{"cited_paper":"/paper/2312.04861","citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:404c16d779338d177ee84bd9cf3e3ea009c8d05eaec7272f17bf66e14e9c0f31","observation_id":"cd88ad9a-b9a3-41ba-ad56-7123ad314615","resolution":{"observed_at":"2026-08-08T18:56:56.829820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.247188Z","title":"3drimr: 3d reconstruction and imaging via mmwave radar based on deep learning","venue":null,"work_id":"8bfdc1f3-fea8-4e68-a790-aac13ee75ae3","year":2021},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.835635Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:eeada2b7f1a4a698abd5a60a701c651718e11197a9be81f8be226e2ebb96f84b","observation_id":"39d52a83-4de8-406b-bc5a-ac11be8a2fa6","resolution":{"observed_at":"2026-08-08T18:56:57.251863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.232749Z","title":"A novel radar point cloud generation method for robot environment perception","venue":null,"work_id":"4dd48b8e-1324-4692-8fc8-221065027d8a","year":2022},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.840073Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:ccceea376fb4ea34539222e7d0c3c224e7fe23bfbb82d68e09b136cfcc4f0f27","observation_id":"f2307dbf-2e75-4112-a1f5-96b596496606","resolution":{"observed_at":"2026-08-08T18:56:57.237487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:56.844496Z","title":"U-net: Con- volutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.844496Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:9dcb118bd15f4bac04746b57646b5e3f7344f2d785f475f82313b52511866794","observation_id":"91d8e3e6-635e-4aa8-8bdb-82b7f49f3075","resolution":{"observed_at":"2026-08-08T18:56:56.844496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.208393Z","title":"K-radar: 4d radar object detection for autonomous driving in various weather conditions","venue":null,"work_id":"7fefae3a-3124-482c-abf8-411e2736f551","year":2022},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.848792Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:d68520027577d46b74d6de3c02048bdca6b466628f3d678f8268fd886834661b","observation_id":"24376d2c-5c23-4f31-8ac2-2a02ac3822e3","resolution":{"observed_at":"2026-08-08T18:56:57.213343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.193704Z","title":"Rtnh+: Enhanced 4d radar object detection network using two-level pre- processing and vertical encoding","venue":null,"work_id":"de01e1a7-3e53-42e9-9249-f63c86f0e2a0","year":2024},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.853107Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:cb3199a03bc78c75fc59995718670a779504c64931945234a6b416f74696ff81","observation_id":"94369bb0-1ee1-4513-a2ce-e2f2c212ca12","resolution":{"observed_at":"2026-08-08T18:56:57.198399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.179324Z","title":"En- hanced k-radar: Optimal density reduction to improve detection per- formance and accessibility of 4d radar tensor-based object detection","venue":null,"work_id":"820a3cb6-fd13-427c-8928-9ec51359c43d","year":2023},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.857328Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:a411f385f69db9823cadd26527d2ec82245f7d2c82d5985c91a3827fce184803","observation_id":"8612387b-dcf0-43a3-b5a4-e0d5e71f526d","resolution":{"observed_at":"2026-08-08T18:56:57.184099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.164889Z","title":"Raw high-definition radar for multi-task learning","venue":null,"work_id":"713922bc-445d-470e-8533-f0ad0b5e22f2","year":2022},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.861556Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:eb801daf2fa1cdc6899425ecf4dd7b5ff5c97772654144a720284e04e8f2f3d5","observation_id":"36e3c2b3-a203-4bef-a2f4-a687bab75eb7","resolution":{"observed_at":"2026-08-08T18:56:57.169505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:56.865871Z","title":"Image-to-image translation with conditional adversarial networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.865871Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:837f8841e91f6d4c222f50b4fa0432373bdb64d7b148a89cd935333cb1182bbd","observation_id":"b7375ee2-09e4-4145-b0b2-52ee4a6f6a0e","resolution":{"observed_at":"2026-08-08T18:56:56.865871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.140886Z","title":"High-resolution image synthesis and semantic manipulation with conditional gans","venue":null,"work_id":"e3ec3150-8fa0-47d1-b769-1121942147fa","year":2018},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.870117Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:5313fd2b9bbfb69bbc8a35e5066c250ba7a0df508a655806bcd8144fda6be384","observation_id":"6526b03d-42cb-4cbc-879b-9decb8099856","resolution":{"observed_at":"2026-08-08T18:56:57.145395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.126559Z","title":"Radsimreal: Bridging the gap be- tween synthetic and real data in radar object detection with simulation","venue":null,"work_id":"2cb6152e-d187-4611-855a-d5f5d01fff75","year":2024},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.874220Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:2aedc9b111f33c77303918f66ca530654fdf1d5f7a1f750c23234d7fa9edea81","observation_id":"b9e5aa76-78bf-43dc-b131-2b2ed2367852","resolution":{"observed_at":"2026-08-08T18:56:57.131209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.111962Z","title":"L2r gan: Lidar-to-radar translation","venue":null,"work_id":"ae90f2b3-dd5b-421d-ba6c-645f1deac362","year":2020},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.878547Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:906d8f5b99dd73a876aaac54f440f3bc70dc61d501474082965fdb734cbf1449","observation_id":"24a1f219-b41a-4f38-ab69-f672ccc43203","resolution":{"observed_at":"2026-08-08T18:56:57.116686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.097653Z","title":"V oxelnet: End-to-end learning for point cloud based 3d object detection","venue":null,"work_id":"aa654f7e-94a4-453a-b438-d4944aa50e52","year":2018},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.882777Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:b8f004ac0b016cc72d2fd4b4efc9e744367e704f3907cd7eb3103387ed7021a2","observation_id":"010baa37-c7d6-4913-818a-7d443e86170a","resolution":{"observed_at":"2026-08-08T18:56:57.102222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.082631Z","title":"Lidar-to-radar translation based on voxel feature extraction module for radar data augmentation","venue":null,"work_id":"11243fab-4278-4050-9463-89667774beba","year":2024},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.886973Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:29978ed2a64de5843dde70095f21ed44a51b0ea1e5229c2ff5e472e3325df218","observation_id":"7db029f7-784b-4574-953e-d846a019db29","resolution":{"observed_at":"2026-08-08T18:56:57.087671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.067714Z","title":"Sparse convolutional neural networks","venue":null,"work_id":"a988072f-e05c-4fd6-ad66-b0d2d18fc94c","year":2015},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.891165Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:a022fc9c531ae68183718346feedbfd8d87796e41396809b79d37eccb9ebddc5","observation_id":"6311cbf7-d608-4492-8ae6-5bef36fdc651","resolution":{"observed_at":"2026-08-08T18:56:57.072158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.052540Z","title":"3d semantic segmentation with submanifold sparse convolutional networks","venue":null,"work_id":"e6618951-c6cb-4d53-a357-dc603e6268d7","year":2018},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.895482Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:1e1fa3665ad22a41067c048bded017a8a954c9704b5e3203e524c69d00c5066e","observation_id":"e82df16f-ca9f-479c-a3f0-a75977d5a13e","resolution":{"observed_at":"2026-08-08T18:56:57.057230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.038136Z","title":"K- radar: 4d radar object detection for autonomous driving in various weather conditions","venue":null,"work_id":"fbb1894a-40a4-4003-b947-ae6d4550230a","year":2022},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.900389Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:a437599247ff4c288e248c6d574fdbf4c210ee5ad77c136668230fc38e2e1685","observation_id":"bdf90c6a-89df-4dd2-8e00-04fa5644b64d","resolution":{"observed_at":"2026-08-08T18:56:57.042770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-08T18:56:56.904953Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.904953Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:d941ff0cbe577f3ae5b74d4063d41e7ac63b03af977c313d5d6cb579b68769be","observation_id":"532c3041-26de-4e78-9e3c-1020a5e5776f","resolution":{"observed_at":"2026-08-08T18:56:56.904953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.023283Z","title":"Optimized transmission of jpeg2000 streams over wireless channels","venue":null,"work_id":"4e276957-3776-482f-a76d-f741947d2b63","year":2005},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.909884Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:189365099b6b11a6f17737b15bcbe8bf320835ef7eb07887df2d7dcd37f59885","observation_id":"55e92695-52b0-4f57-bffb-3b23a7c6115d","resolution":{"observed_at":"2026-08-08T18:56:57.028081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:56:57.004341Z","title":"Robust transmission of jpeg2000 encoded images over packet loss channels","venue":null,"work_id":"45437112-5d42-4bc6-86aa-b3c05adfa930","year":2007},"citing_paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T18:56:56.914338Z"},"links":{"citing_paper":"/paper/2502.05550"},"observation_digest":"sha256:1e3528ee3b0f9a747e607adfb3c5b22702fd940d9e45063c2a34f37d72ac7755","observation_id":"0410f75e-0829-4601-84ca-22c35a058dbf","resolution":{"observed_at":"2026-08-08T18:56:57.011171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.05550","last_updated":"2025-02-08T12:42:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T18:50:21.257542Z","submitted_at":"2025-02-08T12:42:23Z","title":"4DR P2T: 4D Radar Tensor Synthesis with Point Clouds"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":25},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.05550."}