{"as_of":"2026-08-09T20:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7fcb30123f592b86480ddaed07f2cc65f324a7eca2be814a3a52a66c9d8ef04e","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-30T15:06:51.311617Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"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/2607.26980/citation-record","integrity":"/paper/2607.26980/integrity","json":"/paper/2607.26980/citation-record.json","paper":"/paper/2607.26980"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.136255Z","title":"Barfoot, Ayoung Kim, and Christoffer Heckman","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.136255Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:db729efc24511e9e145be4400e0d7eeb6a23251376dbaeaf17f6408a945192e7","observation_id":"78e88de4-4547-46ab-a5ea-02b19554e92b","resolution":{"observed_at":"2026-07-30T15:06:51.136255Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.139828Z","title":"Instantaneous ego-motion estimation using Doppler radar","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.139828Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:ec54393b1c53e8447baf3be575fcba71bab05c6a5bc78ea4903ec607d3c94f00","observation_id":"62c156b8-0011-494f-9545-076cec821cc9","resolution":{"observed_at":"2026-07-30T15:06:51.139828Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.143529Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.143529Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:9251f0883b3039f5279581caaacf32ca3125fc80fcc3abf4d84111b5faa5a0df","observation_id":"1b5e6133-f60a-4ae5-a26f-8beb75c33c5b","resolution":{"observed_at":"2026-07-30T15:06:51.143529Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.184745Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.184745Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:b97ca76c9b9c619a29579c1cc8d7c64cf06a94ed313b84dd2fa1edb0a8871412","observation_id":"ed6078a9-7db8-4109-9f88-c8edc1e02047","resolution":{"observed_at":"2026-07-30T15:06:51.184745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00661","last_updated":"2025-06-10T15:25:13Z","snapshot_observed_at":"2026-08-09T18:07:12.065072Z","submitted_at":"2025-02-02T04:25:08Z","title":"EKF-Based Radar-Inertial Odometry with Online Temporal Calibration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00661","snapshot_observed_at":"2026-07-30T15:06:51.222563Z","title":"EKF- based radar-inertial odometry with online temporal calibration.IEEE Robotics and Automation Letters, 10(7):7230–7237, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.222563Z"},"links":{"cited_paper":"/paper/2502.00661","citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:0ce9c682839a183b32e9225ad0ff5d574fe3a09cb84c1d7f0e767c4e79842d65","observation_id":"efa41d4c-2cb8-401e-8c0b-87e1c23ee292","resolution":{"observed_at":"2026-07-30T15:06:51.222563Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.227151Z","title":"Digital beamforming enhanced radar odometry","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.227151Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:9f8d791e75092650dd47eb9fb304f06d7dccf36be59ed2690dbcc655faee6944","observation_id":"84dd6fd7-4fb4-4a96-9eb1-73305f612739","resolution":{"observed_at":"2026-07-30T15:06:51.227151Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.234742Z","title":"High resolution point clouds from mmWave radar","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.234742Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:ca7f7f0dc8302bf77f8b01a3e4a430616b140a7772788c692511bcbf1253c774","observation_id":"e6f85117-24b5-40e7-b80b-fec21965ea7d","resolution":{"observed_at":"2026-07-30T15:06:51.234742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.18068","last_updated":"2026-06-01T22:18:35Z","snapshot_observed_at":"2026-08-04T15:48:14.943132Z","submitted_at":"2025-09-22T17:49:00Z","title":"RadarSFD: Single-Frame Diffusion with Pretrained Priors for Radar Point Clouds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.18068","snapshot_observed_at":"2026-07-30T15:06:51.246460Z","title":"RadarSFD: Single-frame diffusion with pretrained priors for radar point clouds","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.246460Z"},"links":{"cited_paper":"/paper/2509.18068","citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:a194fd3fbb01537e5d1e7756383184da5e1075b1769b2613b96afcce17b60047","observation_id":"802096fd-bec3-4b36-bd13-c351e43b107b","resolution":{"observed_at":"2026-07-30T15:06:51.246460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.16847","last_updated":"2025-04-22T06:14:01Z","snapshot_observed_at":"2026-08-06T20:07:53.027254Z","submitted_at":"2024-09-25T11:54:24Z","title":"CREVE: An Acceleration-based Constraint Approach for Robust Radar Ego-Velocity Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.16847","snapshot_observed_at":"2026-07-30T15:06:51.249421Z","title":"CREVE: An acceleration-based constraint approach for robust radar ego-velocity estimation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.249421Z"},"links":{"cited_paper":"/paper/2409.16847","citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:077baf04aa12125b720b23191cff7ad4f72e37fca656b72316a8ceb4b46dd4be","observation_id":"68bc5b9e-ee34-4db8-9ca2-9bdd5aad0521","resolution":{"observed_at":"2026-07-30T15:06:51.249421Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.263336Z","title":"VGC-RIO: A tightly integrated radar-inertial odometry with spatial weighted Doppler velocity and local geometric constrained RCS histograms","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.263336Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:88dc19540a2bbc716e432d0a4fca30e5a09cc7cf386df04486db62d7384ab7a9","observation_id":"13d2b027-230c-474b-816a-c4c20f074310","resolution":{"observed_at":"2026-07-30T15:06:51.263336Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.266432Z","title":"Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.266432Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:294090a48d76100878a65f4fb2651565d1f64273cef4b12f6cddce8b95af2eaa","observation_id":"238430a6-cfa4-444f-af15-b0ea4534b181","resolution":{"observed_at":"2026-07-30T15:06:51.266432Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.269640Z","title":"BatMobility: Towards flying without seeing for autonomous drones","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.269640Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:37fcf7174549f9a146c6ed05f367063533e0bd094f01d1aa8a7b7be718a66509","observation_id":"811dd43c-1826-4556-a789-5d2dc44503e0","resolution":{"observed_at":"2026-07-30T15:06:51.269640Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.272860Z","title":"Radarize: Enhancing radar SLAM with generalizable doppler-based odometry","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.272860Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:fd66bdf9115dd745c07eee8182ca6f2f225ca3e52e6dc8077c022b0bca9b63ae","observation_id":"fb36dfac-84cf-4640-a041-279cd88dd221","resolution":{"observed_at":"2026-07-30T15:06:51.272860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.13584","last_updated":"2026-04-15T07:43:06Z","snapshot_observed_at":"2026-08-05T14:51:16.606505Z","submitted_at":"2026-04-15T07:43:06Z","title":"UNRIO: Uncertainty-Aware Velocity Learning for Radar-Inertial Odometry","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.13584","snapshot_observed_at":"2026-07-30T15:06:51.275479Z","title":"UNRIO: Uncertainty-aware velocity learning for radar-inertial odometry","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.275479Z"},"links":{"cited_paper":"/paper/2604.13584","citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:2b21a5eceee8309d3b9be22f19d00778706f35332a1f5488847ee6d386b0a123","observation_id":"284d3cc9-7e22-4580-878e-ceea29559d7f","resolution":{"observed_at":"2026-07-30T15:06:51.275479Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.278182Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.278182Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:91525f7b128de8efdc785b2950e16ad8baf87c4667d5a7d640e39f9915458100","observation_id":"807ad015-9df1-4783-bce7-081ecde69f79","resolution":{"observed_at":"2026-07-30T15:06:51.278182Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.281196Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.281196Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:b4895b98eb95150663dd406e6d855eed6cbdaabb3f08a7fcae8b5936cc156a88","observation_id":"ce0cbdaa-7da1-4f0f-a71e-1f9b2b6f6412","resolution":{"observed_at":"2026-07-30T15:06:51.281196Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.283616Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.283616Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:ab67ceba4366e19026f5f1c68a4000be56ddebbe2830773bd925fa7d17fad6e7","observation_id":"d54a9f8e-aa76-4be2-bfdd-22af8816ca38","resolution":{"observed_at":"2026-07-30T15:06:51.283616Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.287073Z","title":"Multi-radar inertial odometry for 3D state estimation using mmWave imaging radar","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.287073Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:8df0abde8bfe04410c2b9d0dee5eef90bf60011d6b3999bf6569e52f7f6a23ad","observation_id":"1bbd9197-e353-4026-92db-ef34ad5d9a60","resolution":{"observed_at":"2026-07-30T15:06:51.287073Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.289767Z","title":"RIV-SLAM: Radar-inertial- velocity optimization based graph SLAM","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.289767Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:6fe9dd394d44274ba6bd37c6e43f63d83d3fb1bb594ed6b66f4b630c3fef243f","observation_id":"ced56ef7-6048-42bf-8099-482e6099329f","resolution":{"observed_at":"2026-07-30T15:06:51.289767Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.292513Z","title":"4DEgo: Ego- velocity estimation from high-resolution radar data.Frontiers in Signal Processing, 3:1198205, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.292513Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:069a421d6d28be811d93e1e56bd70d70461ea108c881267376f725deca41bde6","observation_id":"78645fd7-e868-4113-968a-40e49230de91","resolution":{"observed_at":"2026-07-30T15:06:51.292513Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.295505Z","title":"S3E: Self-supervised state estimation for radar-inertial system","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.295505Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:698bf10ced58427679ada0404ef401e0ba26ecc6b5f008b54c936f9826ac4428","observation_id":"ea933ee1-81fb-4a54-bf56-98e4de88b75e","resolution":{"observed_at":"2026-07-30T15:06:51.295505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02509","last_updated":"2025-03-04T11:19:03Z","snapshot_observed_at":"2026-08-07T17:30:46.991373Z","submitted_at":"2025-03-04T11:19:03Z","title":"Impact of Temporal Delay on Radar-Inertial Odometry","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02509","snapshot_observed_at":"2026-07-30T15:06:51.297658Z","title":"Impact of temporal delay on radar-inertial odometry","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.297658Z"},"links":{"cited_paper":"/paper/2503.02509","citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:ada734ff3c455e2313b13a2576588465a4c8790777961bd100f243357e3e266d","observation_id":"a45f5570-706e-4730-9a39-f03a357fee6d","resolution":{"observed_at":"2026-07-30T15:06:51.297658Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.300027Z","title":"Tightly-coupled EKF-based radar-inertial odometry","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.300027Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:ce45f0900b018fb3e82ae4330d5f3815543459a265595f345dec09fce5cb680f","observation_id":"e58913aa-09af-431a-874a-ecc40fc66507","resolution":{"observed_at":"2026-07-30T15:06:51.300027Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.302252Z","title":"Ground-optimized 4D radar- inertial odometry via continuous velocity integration using Gaussian process","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.302252Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:6b0ef6c626a0178ae8a76d564c1a52e4e82f923bd1e2e6ecda3d4240b4e7b330","observation_id":"58900a53-b51f-442d-ab8c-86e0266a4b4d","resolution":{"observed_at":"2026-07-30T15:06:51.302252Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.304543Z","title":"Less is more: Physical-enhanced radar-inertial odometry","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.304543Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:75e448866e3adcfc14373a81540cc183eac7b76c26228c504bdc7ecf41e070a1","observation_id":"4dcb81cc-81e1-4f0e-9012-f9ba13dcd3b5","resolution":{"observed_at":"2026-07-30T15:06:51.304543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.02508","last_updated":"2017-11-03T11:53:43Z","snapshot_observed_at":"2026-08-07T19:54:04.256495Z","submitted_at":"2017-11-03T11:53:43Z","title":"Quaternion kinematics for the error-state Kalman filter","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.02508","snapshot_observed_at":"2026-07-30T15:06:51.306996Z","title":"Quaternion kinematics for the error-state Kalman filter","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.306996Z"},"links":{"cited_paper":"/paper/1711.02508","citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:372050a8e95b3381cbccecb4497448b899936b3e1ef1922ba84158bf750a2e88","observation_id":"b35e6e42-e874-42f8-a4ff-560cdd336e90","resolution":{"observed_at":"2026-07-30T15:06:51.306996Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.309466Z","title":"ColoRadar: The direct 3D millimeter wave radar dataset.The International Journal of Robotics Research, 41(4):351–360, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.309466Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:b033cc0abbaa847518d818bc2324197b11c2fe50e31468f75b99dfd203d8e677","observation_id":"b4b6d333-9b76-4bbd-9b31-188ab00d4241","resolution":{"observed_at":"2026-07-30T15:06:51.309466Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T15:06:51.311617Z","title":"evo: Python package for the evaluation of odometry and SLAM","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-30T15:06:51.311617Z"},"links":{"citing_paper":"/paper/2607.26980"},"observation_digest":"sha256:753c701f77a81b390fedc52e5a8b5edb22e4e30deb457627dcc073cece4947ca","observation_id":"9fa3d624-263d-4f1d-9965-15d93c779ee0","resolution":{"observed_at":"2026-07-30T15:06:51.311617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.26980","last_updated":"2026-07-29T14:37:52Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-08T04:10:10.318474Z","submitted_at":"2026-07-29T14:37:52Z","title":"Dense Soft Weighting for Radar Ego-Velocity Estimation"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":28},"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 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.26980."}