{"as_of":"2026-08-11T00:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:482bf0bd16822ea44b2c68e6af3bd9f4c528bca673e0f0cdaa30a84c763cd555","coverage":[{"denominator":104,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:24:25.230507Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2506.05546/citation-record","integrity":"/paper/2506.05546/integrity","json":"/paper/2506.05546/citation-record.json","paper":"/paper/2506.05546"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:24:24.833220Z","title":"N2f2: Hierarchical scene under- standing with nested neural feature fields","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.833220Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:615a93afef3048916bcbcab53a4e072d22caac8aa1f708acf9974931d3370102","observation_id":"4e6787b8-ea5c-4cb0-bbb6-0e55030e66b1","resolution":{"observed_at":"2026-08-07T10:24:24.833220Z","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":"2026-08-07T10:24:24.842985Z","title":"Hen- riques, Andrea Vedaldi, and Andrew Zisserman","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.842985Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:f367bafb3b46af6438ed363c16c57d3d8f9d0a944b2608fc881806be66cf56c9","observation_id":"0a90dc78-1007-4218-b00e-502c3f5c52ff","resolution":{"observed_at":"2026-08-07T10:24:24.842985Z","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":"2026-08-07T10:24:24.856554Z","title":"Henriques, Andrea Vedaldi, and Andrew Zisserman","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.856554Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:6d9811b6349f54bc58a466a3a944b8940ba967654bf9fa9ff9e0fdd8766ea675","observation_id":"66354b1a-4808-4493-b471-38e78e2b9284","resolution":{"observed_at":"2026-08-07T10:24:24.856554Z","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":"2026-08-07T10:24:24.868126Z","title":"It’s moving! a prob- abilistic model for causal motion segmentation in moving camera videos","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.868126Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:17c37891a8f18a88e864d7db3c5a9c56b52ceadcc48d4045949d33667b8ee3c9","observation_id":"23a92342-71ea-4915-9ec3-189accc52b0f","resolution":{"observed_at":"2026-08-07T10:24:24.868126Z","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":"2026-08-07T10:24:24.881633Z","title":"Traditional and recent approaches in background modeling for foreground detection: An overview.Computer science review, 11:31–66, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.881633Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:4a7b0ca571d51ed5090d0b99324d4abebc80fea7b2bfff42c2dd8e05b061ee75","observation_id":"54aee1fa-5eac-47ab-ae74-815e18394e08","resolution":{"observed_at":"2026-08-07T10:24:24.881633Z","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":"2026-08-07T10:24:24.888871Z","title":"Object segmentation by long term analysis of point trajectories","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.888871Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:2a2bce1877f134cfb51837b548e0faa66d9cc7432837c0457e4c9ea69c247461","observation_id":"6daa1299-ed81-48c6-b65b-f4ff29df3e10","resolution":{"observed_at":"2026-08-07T10:24:24.888871Z","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":"2026-08-07T10:24:24.893179Z","title":"Hexplane: A fast representa- tion for dynamic scenes.Proceedings of the IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR),","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.893179Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:7450eef70ca3419d1d61d2896f898b5af491751441c3a702532c95d43898388a","observation_id":"aadf0cf9-2259-4cc2-b5b5-d611b0933e5b","resolution":{"observed_at":"2026-08-07T10:24:24.893179Z","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":"2026-08-07T10:24:24.897681Z","title":"Emerging properties in self-supervised vision transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.897681Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:15ed76563420cef098a211223ad2baea3d01362c37e640dae315c8dda33deff7","observation_id":"6a33cb8f-f936-4f3d-86e4-15d331f3cb26","resolution":{"observed_at":"2026-08-07T10:24:24.897681Z","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":"2026-08-07T10:24:24.901791Z","title":"Self-supervised learning with geometric constraints in monocular video: Connecting flow, depth, and camera","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.901791Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:4696977d697f1d27b0a4903971ce55b5ddb201c68fea490acb9f75d66730e62d","observation_id":"f6e04f13-fb3e-4592-a267-1be79fc25b21","resolution":{"observed_at":"2026-08-07T10:24:24.901791Z","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":"2026-08-07T10:24:24.905660Z","title":"Guess What Moves: Unsupervised Video and Image Segmentation by Anticipat- ing Motion","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.905660Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:bd9a54c30fcf45227f68daf60306da74c56fa727fb44ae36284eba169647a300","observation_id":"14642468-d6c8-4795-89d7-0d57b5ef41f8","resolution":{"observed_at":"2026-08-07T10:24:24.905660Z","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":"2026-08-07T10:24:24.909433Z","title":"Csurka, C","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.909433Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:b049da187ff2f291af998db6b66db8b83dfb394419ab22d84a0567c352440fa9","observation_id":"153316d2-0951-445d-bb8d-24780667a628","resolution":{"observed_at":"2026-08-07T10:24:24.909433Z","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":"2026-08-07T10:24:24.912891Z","title":"Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.Interna- tional Journal of Computer Vision (IJCV), 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.912891Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:1ec741cba8399af15e3c73e9d3b712509f4db73352f945d6b74f3c1626b3df7c","observation_id":"fdae47fa-7b0d-4c55-90a5-0de3a9fe4498","resolution":{"observed_at":"2026-08-07T10:24:24.912891Z","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":"2026-08-07T10:24:24.915789Z","title":"An im- age is worth 16×16 words: Transformers for image recog- nition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.915789Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:28b87156f1fe56d3fed9ddd278370fa459281535168f5ee60abe273a41e4cce4","observation_id":"08bcb8aa-a020-4d86-aa09-3be4baa57bd4","resolution":{"observed_at":"2026-08-07T10:24:24.915789Z","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":"2026-08-07T10:24:24.919105Z","title":"Tenen- baum, and Jiajun Wu","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.919105Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a9049d7a43b821a1cb0cf81bc07cec1370b15827bc9ef6a5c398d170ac5995a7","observation_id":"e807beb9-69c4-4cd6-9d70-b7afec58f917","resolution":{"observed_at":"2026-08-07T10:24:24.919105Z","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":"2026-08-07T10:24:24.923158Z","title":"NeRF-SOS: Any-view self- supervised object segmentation on complex scenes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.923158Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:2730f3df412e25ec7c843f5bf66d8ee5beb5c0bc2794d6462abed7b7d3d94602","observation_id":"66bec7e4-e310-4cdd-b14c-eb1d772b4b13","resolution":{"observed_at":"2026-08-07T10:24:24.923158Z","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":"2026-08-07T10:24:24.926082Z","title":"Fast dynamic radiance fields with time-aware neural voxels","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.926082Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a1dee92b7644ac180a20ae9f79440391cd493d58d771b2b3d092a8e9536c673a","observation_id":"09862b54-0480-451d-b590-6859955e5c4d","resolution":{"observed_at":"2026-08-07T10:24:24.926082Z","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":"2026-08-07T10:24:24.929675Z","title":"K- planes: Explicit radiance fields in space, time, and appear- ance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.929675Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:2739d0003ce9e93a7b24733b273eb2cfd3b25c1f26a6962bcf8e7eb5e7d23054","observation_id":"0ba04cdf-ee2c-4017-a85b-0795630016bc","resolution":{"observed_at":"2026-08-07T10:24:24.929675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15224","last_updated":"2022-09-09T03:43:28Z","snapshot_observed_at":"2026-08-09T21:40:28.458858Z","submitted_at":"2022-03-29T04:16:40Z","title":"Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.15224","snapshot_observed_at":"2026-08-07T10:24:24.933828Z","title":"Panoptic NeRF: 3d-to-2d label transfer for panoptic urban scene segmentation.arXiv.cs, abs/2203.15224, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.933828Z"},"links":{"cited_paper":"/paper/2203.15224","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:77605d292111d6b7312835a33898420ee41d1a42d80172e642f3463ba4997cef","observation_id":"c7aa225a-b31e-4220-9de1-097808c9ed3d","resolution":{"observed_at":"2026-08-07T10:24:24.933828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.06468","last_updated":"2021-05-13T17:59:50Z","snapshot_observed_at":"2026-08-05T07:43:52.024576Z","submitted_at":"2021-05-13T17:59:50Z","title":"Dynamic View Synthesis from Dynamic Monocular Video","version":1},"cited_work":{"arxiv_id":"2105.06468","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.06468","snapshot_observed_at":"2026-08-07T10:24:25.341733Z","title":"Dynamic View Synthesis from Dynamic Monocular Video","venue":"cs.CV","work_id":"2d9f96e5-d04d-4bdd-99dc-348a3fde8009","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.938048Z"},"links":{"cited_paper":"/paper/2105.06468","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:9ecb69cd42bca44fae03adef2738a7e317b9781c02df50144df857211d4396ed","observation_id":"0ca3803f-d5ec-4077-8c8c-f244d305030f","resolution":{"observed_at":"2026-08-07T10:24:25.345401Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:24.942068Z","title":"Monocular dynamic view synthe- sis: A reality check","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.942068Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:ea5aef27c65220202c256e88a1f1a46fc8e04b68de8860d0fd835fb3055ce465","observation_id":"4448c332-d160-460b-b607-b7635b35adc4","resolution":{"observed_at":"2026-08-07T10:24:24.942068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.13445","last_updated":"2022-10-24T17:58:28Z","snapshot_observed_at":"2026-08-06T08:10:18.165681Z","submitted_at":"2022-10-24T17:58:28Z","title":"Monocular Dynamic View Synthesis: A Reality Check","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.13445","snapshot_observed_at":"2026-08-07T10:24:24.945955Z","title":"Monocular dynamic view synthe- sis: A reality check.arXiv.cs, abs/2210.13445, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.945955Z"},"links":{"cited_paper":"/paper/2210.13445","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a8881d586ab93b1e2affa2144ebaad89dff945c4e9c084195af5394fd9085da9","observation_id":"7649cdca-9867-4987-8b33-b97e5c3ed408","resolution":{"observed_at":"2026-08-07T10:24:24.945955Z","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":"2026-08-07T10:24:24.949480Z","title":"Girshick","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.949480Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:9c1928a2a9f1b5957359895b55936197399fe373ef5748e06a8216783825ae67","observation_id":"5c7e1528-3fe1-43d1-8f8e-a74822e15096","resolution":{"observed_at":"2026-08-07T10:24:24.949480Z","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":"2026-08-07T10:24:24.952782Z","title":"Neural deformable voxel grid for fast optimization of dynamic view synthe- sis","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.952782Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:1a04a68921d9443cd17850dd7c0e8e3c942c1ebf9def2a535bcae82f68727c84","observation_id":"5910adcb-9b68-41b3-9d4c-1a953d6d9787","resolution":{"observed_at":"2026-08-07T10:24:24.952782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-07T10:24:24.956622Z","title":"Deep residual learning for image recognition.arXiv preprint arXiv:1512.03385, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.956622Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a73369a372ed6c1bfe2154e42cb88c1f40472808cb62804f812f5b809a413aeb","observation_id":"bf0c3170-91d6-4e0f-a69c-67bd2511e917","resolution":{"observed_at":"2026-08-07T10:24:24.956622Z","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":"2026-08-07T10:24:24.960908Z","title":"Dense 3d semantic mapping of indoor scenes from rgb- d images","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.960908Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:74ddc2327797709d51855859e5e996bf8bb6561c199f50e15a4c4c913a609148","observation_id":"3a8fd15e-f251-4fd2-b2fe-0a56a044f275","resolution":{"observed_at":"2026-08-07T10:24:24.960908Z","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":"2026-08-07T10:24:24.965212Z","title":"Sfm-ttr: Using struc- ture from motion for test-time refinement of single-view depth networks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.965212Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:ec961bfc3f377177ee95c6210990ceef33cc1d15bfac49cba91f76c5423086db","observation_id":"54b146ad-a413-4948-92d7-b975e99ee86e","resolution":{"observed_at":"2026-08-07T10:24:24.965212Z","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":"2026-08-07T10:24:24.968963Z","title":"Fusion- seg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.968963Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:29eaac26a2950b89f069c8149e47a2dc420321e981134dbd27d6692a2259aaf7","observation_id":"4a99b677-21c3-40ab-a941-291e4837b4ec","resolution":{"observed_at":"2026-08-07T10:24:24.968963Z","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":"2026-08-07T10:24:24.972636Z","title":"What uncertainties do we need in Bayesian deep learning for computer vision?Proceed- ings of Advances in Neural Information Processing Systems (NeurIPS), 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.972636Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:68d22454c546e2ad486d333bd5185905c140bce7886eed2afe9fc6dc7175c32e","observation_id":"cc08790e-e635-4285-8c68-049a239623ad","resolution":{"observed_at":"2026-08-07T10:24:24.972636Z","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":"2026-08-07T10:24:26.082156Z","title":"3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), 2023","venue":null,"work_id":"11a22e8f-aafe-4495-bba0-9b5a46b3041d","year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.975738Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:ee5cbb53955d0f8d5d17df287ab2f7516426b21e61c41512e3181731ce8b4e66","observation_id":"cde6e65d-06e1-4665-a7a0-b47ad0e86a12","resolution":{"observed_at":"2026-08-07T10:24:26.086515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:26.072797Z","title":"Lerf: Language embed- ded radiance fields","venue":null,"work_id":"d3c5ac6d-b44e-4da1-b13c-e777c319a2b1","year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.978938Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:339293ba496002926f07804de3f480fe11e82ee382e4ceed6750aa189f14bac4","observation_id":"4400b836-7848-4263-88cb-6d8ff59161f0","resolution":{"observed_at":"2026-08-07T10:24:26.076263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09419","last_updated":"2024-01-17T18:57:53Z","snapshot_observed_at":"2026-07-06T17:16:59.193820Z","submitted_at":"2024-01-17T18:57:53Z","title":"GARField: Group Anything with Radiance Fields","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09419","snapshot_observed_at":"2026-08-07T10:24:24.982892Z","title":"Garfield: Group anything with radiance fields.arXiv.cs, abs/2401.09419, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.982892Z"},"links":{"cited_paper":"/paper/2401.09419","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:3132795c014442a35d793d7be4a36b64cca38da5c288505e59a3ef09b9397d12","observation_id":"e69aa979-b596-4a6d-8370-264691ee8628","resolution":{"observed_at":"2026-08-07T10:24:24.982892Z","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":"2026-08-07T10:24:26.062071Z","title":"Decomposing neRF for editing via feature field dis- tillation","venue":null,"work_id":"e8e0ac66-84ba-4a08-b6b0-9368aa17c0c6","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.986749Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:baddffc21cd1d66f2ac0bc0239d90bb08a9ab8aba4a666f8ec2456cd1eca2fb7","observation_id":"a8dd368e-7eaa-407c-af34-9e146196fe24","resolution":{"observed_at":"2026-08-07T10:24:26.065833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:26.051779Z","title":null,"venue":null,"work_id":"6649c830-231b-45de-8eea-c21b8c68f3cb","year":2012},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.991115Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:0653a2d514f12a7797a8ac058a8de5d56672688980d92c2d5b2ec00a74a20f3f","observation_id":"94d3a294-26fd-4cd4-bb2e-5f52fef4ee6c","resolution":{"observed_at":"2026-08-07T10:24:26.055763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:26.041340Z","title":"Joint semantic segmentation and 3d re- construction from monocular video","venue":null,"work_id":"042f5a94-e384-4172-a8d1-0f08fcab5b20","year":2014},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.995181Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:fcb1c445d7609a081f05d0cae671ea9d223e5f3afe5aece19bdd0269c3e7cce6","observation_id":"60612089-a639-495a-b41c-361ab7c643f9","resolution":{"observed_at":"2026-08-07T10:24:26.045220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:26.031304Z","title":"Panoptic neural fields: A semantic object-aware neural scene rep- resentation","venue":null,"work_id":"5fc14f62-b656-47b8-a905-e1e16ba9f22a","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:24.999404Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:52766907a0304f87713c756b8a5a3f622d802cbcfb6b56c9b2085d088acbc4d6","observation_id":"2ad215fa-5aee-4780-9354-eaab67d6c83b","resolution":{"observed_at":"2026-08-07T10:24:26.034679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:26.019856Z","title":"Divided attention: Unsuper- vised multiple-object discovery and segmentation with in- terpretable contextually separated slots, 2024","venue":null,"work_id":"8eb2f275-047b-44b5-8cb1-426e9f816f5f","year":2024},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.002630Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:7ef6b0dab256bd7f6b333bee3c360422714f4cb4a509dfb3ebf446ee197424a5","observation_id":"cc545d3a-cb3a-4073-8b76-083fbcf11d6e","resolution":{"observed_at":"2026-08-07T10:24:26.024944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:26.007834Z","title":"Language-driven semantic seg- mentation","venue":null,"work_id":"d791d6ef-b776-41a2-9508-6247c40109c0","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.005803Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:14c6846ed2c25524c16c8f660fe38b5e9d92718f52d11965c17bfa82e67fac99","observation_id":"0d2cf389-ef8e-47c5-8945-636569cd2489","resolution":{"observed_at":"2026-08-07T10:24:26.011721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.996370Z","title":"New- combe, and Zhaoyang Lv","venue":null,"work_id":"c9536d3d-2cb1-4454-b4f7-3caf73412ee4","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.009153Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:522a6e72fa212a59a5aa96fc967a5dd517dec19322f959e216d5a5ac01eec1f8","observation_id":"b477a6f9-455d-4c94-81b5-e2e1650ed42d","resolution":{"observed_at":"2026-08-07T10:24:26.000220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.985618Z","title":"Neural scene flow fields for space-time view synthe- sis of dynamic scenes","venue":null,"work_id":"9069c169-8103-43e2-a271-9a53ace46f33","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.013347Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:de0fc8e9d153057654f30357060bad01b4fb5eef0a3dc4a7c9fb8e0a2a446e5f","observation_id":"7d3503ec-590d-4fe3-b83d-8afc58b4b515","resolution":{"observed_at":"2026-08-07T10:24:25.989486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.975676Z","title":"Dynibar: Neural dynamic image-based rendering","venue":null,"work_id":"30dfd696-9515-4ce5-838f-79917ff06de4","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.016954Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:ba0779d13fbca2f00b84da6995b444e7ed7f5afbcbf0e118df1a92a7b9351dcb","observation_id":"ff73fd36-a572-4587-917d-1bc4e322dcff","resolution":{"observed_at":"2026-08-07T10:24:25.979655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.964356Z","title":null,"venue":null,"work_id":"4e2c4b02-4453-47b4-b32d-502876b67231","year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.021113Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:1b01bdffbae37c160534ad6ec2ce822d5d0658efa4f27d7133ee241ac8d26884","observation_id":"e530eefc-d1f9-47fa-a7ce-e366f920b8aa","resolution":{"observed_at":"2026-08-07T10:24:25.968781Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.953776Z","title":"A comprehensive sur- vey on test-time adaptation under distribution shifts, 2023","venue":null,"work_id":"dcc6b237-fdfc-4348-849d-4c073a99bdcd","year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.025176Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:e6d2f1842c0b82571a4599b6b182669e6f6710689fbea264bde51c5384a082f4","observation_id":"429b2d09-5898-4d13-bcb8-50add28e71b9","resolution":{"observed_at":"2026-08-07T10:24:25.958171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.943518Z","title":"Semantic attention flow fields for monocular dynamic scene decomposition","venue":null,"work_id":"04ec7d2c-e128-4351-b99a-3da35d7548e2","year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.029070Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:34de4401c296cd253cd27f5a8e6f5d2a367ac7d2ac71adc600dd30f5083302bd","observation_id":"24433a64-520e-49bb-b08f-47a935fe3497","resolution":{"observed_at":"2026-08-07T10:24:25.947833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.933593Z","title":"Devrf: Fast deformable voxel radi- ance fields for dynamic scenes.Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 35: 36762–36775, 2022","venue":null,"work_id":"687b3909-683f-4e17-8a71-97fddb9ef91b","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.032756Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:0606df626037a9372474fd3d73f795145fa0e92432a3128221beb29174655125","observation_id":"de000216-280e-4d30-89e8-5bd20b11262e","resolution":{"observed_at":"2026-08-07T10:24:25.937546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.923126Z","title":null,"venue":null,"work_id":"7df1d726-8436-4089-a247-6c5b013fef71","year":1999},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.035794Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a8a7641880b1c339c627e4df23625c94cff3b8b81b0f297cbd5602973cbf70eb","observation_id":"489d2159-0d8f-44f3-b041-ff9c39f0c097","resolution":{"observed_at":"2026-08-07T10:24:25.927019Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.913220Z","title":"Multi-view deep learning for consistent semantic mapping with RGB-D cameras","venue":null,"work_id":"9afef0a4-d669-4d97-bbd5-bb85944dca46","year":2017},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.039008Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:44150cffa4898818cc1198071394ade1348e40899da687443f0c0767a658bc6d","observation_id":"364e8e0a-7a32-4d28-af4a-a17bd59dd870","resolution":{"observed_at":"2026-08-07T10:24:25.917260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.902612Z","title":"Marr.Vision: A computational investigation into the human representation and processing of visual information","venue":null,"work_id":"a45a2f13-5af9-4a64-8011-bb725480d4bf","year":1982},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.043050Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:8bb8c114db928435c9bddb6072dd160a576cac5d58d13f413f0b258836a5cd3a","observation_id":"a1ee91ac-03bb-4aca-8f86-05bc2b9482f4","resolution":{"observed_at":"2026-08-07T10:24:25.907418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.893044Z","title":null,"venue":null,"work_id":"07dd0f8e-30f1-4d8e-b375-ed84a8da78ff","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.047158Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:4b0a4554e92c1a9c3d47e23e11c3ab1402dad6b2c7e718527fa819293fde6c4a","observation_id":"082c41d0-1b00-41fd-8853-9faee824d7e3","resolution":{"observed_at":"2026-08-07T10:24:25.896491Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.882903Z","title":"Dif- fuser: Multi-view 2D-to-3D label diffusion for semantic scene segmentation","venue":null,"work_id":"29b663f5-87e4-402d-bd84-681787c8c43b","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.050546Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a4b6fa0c5309a61a7d8b285785753ada33146e50c760c1697222c67882d8484d","observation_id":"bcf56a33-3ca2-48f5-8f8e-3747b97e2b76","resolution":{"observed_at":"2026-08-07T10:24:25.887118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.872685Z","title":"A review of motion segmentation: Approaches and ma- jor challenges","venue":null,"work_id":"0230ac4f-9322-4004-8632-2e5c07d4295c","year":2020},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.054502Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:f8b66f803ed974e1d7358e3d2a480765457d8cc8c749b20002cb286ef0e99a9f","observation_id":"f4887974-cae9-4b52-8045-de435f77ef19","resolution":{"observed_at":"2026-08-07T10:24:25.876585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.862417Z","title":"Scene chronology","venue":null,"work_id":"d0fa941d-7233-4729-86de-6564e5540530","year":2014},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.058906Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:443c836f90d7d8ebfc3d24c0e4a9ee7d0f984a1913d3303fe1ebcfabc18c977b","observation_id":"30232342-771e-4382-bbf9-ac8089e2903a","resolution":{"observed_at":"2026-08-07T10:24:25.865743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.851993Z","title":"Semanticfusion: Dense 3d seman- tic mapping with convolutional neural networks","venue":null,"work_id":"bc7a4eec-aa96-4d25-9c56-dcceb6dd38bb","year":2017},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.063029Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:4c697c417c6eda8ecd6527d4dee0ae30179137c1589e5a9a0244319a2b9f7296","observation_id":"0f04b6e8-8138-4ee0-837f-11ac0205f62d","resolution":{"observed_at":"2026-08-07T10:24:25.856274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.841140Z","title":"Srinivasan, Matthew Tancik, Jonathan T","venue":null,"work_id":"e2d7cddf-b458-4d1f-9db4-6e5879f57a05","year":2020},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.067215Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:d418426c84b94f2f010a4f156220bcb6660d8041a31a4de9818c05d7a5aa977f","observation_id":"31463bce-387f-4d79-8a27-9b3e41419593","resolution":{"observed_at":"2026-08-07T10:24:25.845733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.831014Z","title":"Laterf: Label and text driven object radi- ance fields","venue":null,"work_id":"87c7691a-4fab-42c5-b76f-3ce9efbe3477","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.070444Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:20a7b91cfc0ff8d49baaa56d474c2a65ec7f02bf9bfa6d1aafbcd3003694690f","observation_id":"d9514a63-1e18-4e45-91f1-0676a3001fa3","resolution":{"observed_at":"2026-08-07T10:24:25.835168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.819533Z","title":"Learning visual motion segmentation using event surfaces","venue":null,"work_id":"353f0322-5063-4d06-b9f8-783538218177","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.073485Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:6a32b06ceadb16141670ddb906a0d3f385ec3942c50c9e0cdcf8e85a7c6b5199","observation_id":"c81af0e3-d36b-415b-b02b-fee43f4174e5","resolution":{"observed_at":"2026-08-07T10:24:25.823565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.808523Z","title":"Panopticfusion: Online volumetric semantic map- ping at the level of stuff and things","venue":null,"work_id":"f2548c08-5b5e-47be-b86f-7400f54b287e","year":2019},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.076785Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:f1e507e07b4278f563b13e2e48730aca12d974f7a27d4f0eead79f11a485c7e5","observation_id":"70d0a7df-8484-4e14-856a-fa64b37ae48b","resolution":{"observed_at":"2026-08-07T10:24:25.813422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.798125Z","title":"Captur- ing the geometry of object categories from video supervi- sion.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018","venue":null,"work_id":"541ab4d4-036a-4ed6-8e39-cc58e6f0c031","year":2018},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.080936Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:bc972aba41da807f5e3c69352e60dda1bc71c32cd9306ce0602592169f946d83","observation_id":"c8d7570e-dca3-426a-a43f-7621e8f3dfe9","resolution":{"observed_at":"2026-08-07T10:24:25.802329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.787577Z","title":null,"venue":null,"work_id":"500b26e2-3c29-4439-8f8f-ed50493542bc","year":2014},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.084289Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:0a364a9b02818ef2446def9e03222356e71483c4ac67225059430a2a5f22725f","observation_id":"62e155e2-ab1a-4376-a207-3c71a5f42846","resolution":{"observed_at":"2026-08-07T10:24:25.791449Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.777874Z","title":"Neural scene graphs for dynamic scenes","venue":null,"work_id":"fa79877f-00d6-46bb-bec1-3136540bd906","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.087633Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:03183774ffef9a7add751d964693bfc32606e7199efd8ad00e0649eae599c117","observation_id":"6609327f-88b7-4c85-82ee-d3b0828454c6","resolution":{"observed_at":"2026-08-07T10:24:25.781354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.767383Z","title":"Fast object seg- mentation in unconstrained video","venue":null,"work_id":"a99fe62f-c00f-4521-8ebb-9d117b23aa7f","year":2013},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.090584Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:6c98c8f68abd64184db7bdadfa93a7c4705e732d0cacfbe108440ac6c5c003ba","observation_id":"817752e0-7648-42d6-a415-3cb1b28d4a47","resolution":{"observed_at":"2026-08-07T10:24:25.771993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.756564Z","title":"Nerfies: Deformable neural radiance fields","venue":null,"work_id":"4499d77e-5bc9-4935-807e-ec656f5416bb","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.093558Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:1a7c3e7c55bff9a1ae13dbf9882345134c36126a3e89baee3162551fe2ef9d90","observation_id":"3a380a6d-7eeb-4642-8e34-5f3053a2c7fe","resolution":{"observed_at":"2026-08-07T10:24:25.760503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.746388Z","title":"Perronnin and C","venue":null,"work_id":"19b5c363-e32c-4841-9790-45b5208e18de","year":2006},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.097138Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:2418c527ef951b563211d6299fff0069999618cca2402a5ba794d8db0953dfcc","observation_id":"6d4b3ace-5af2-4bb8-9770-3663262e6ce1","resolution":{"observed_at":"2026-08-07T10:24:25.750163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.735294Z","title":"Spatial cognition from egocentric video: Out of sight, not out of mind","venue":null,"work_id":"e84567ce-017c-4067-8e11-81e7e48cbbc4","year":2025},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.100364Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a62e1315578db18e76a4e13fd0cf4638977dcbe761e40b6c4909aa58e528ab6b","observation_id":"096dbfc2-f381-4292-9fab-91338f024d02","resolution":{"observed_at":"2026-08-07T10:24:25.739524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.725347Z","title":"D-nerf: Neural radiance fields for dynamic scenes","venue":null,"work_id":"bf4bf751-d4ab-4de2-b71f-60302cc9f366","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.103240Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:81d39c869bddd1a6f5a63d1647fc476ca235d62384cdfc2dfc54efcf7dbcb8d4","observation_id":"4c4e0478-4629-4ed1-8de8-812e82ed68a2","resolution":{"observed_at":"2026-08-07T10:24:25.729446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.714483Z","title":"Langsplat: 3d language gaussian splatting","venue":null,"work_id":"189fa408-8b84-4964-af1e-46f503a8f08d","year":2024},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.106754Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:82d5e2f94027cd99b98ce41c1b7f21ee9636c42d906cb237d6aab81a0b13368e","observation_id":"0850a793-f42b-46d0-a394-2f43cb0f13de","resolution":{"observed_at":"2026-08-07T10:24:25.718266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.703320Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"dd66d5ec-5e58-4013-b06a-a5becb99d963","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.110020Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:5afd9b07430d9af541707a46cdfb316c991fb860730cd5442774661dc78ad443","observation_id":"a86a223c-ac8b-42a3-91c5-9e928d1dce94","resolution":{"observed_at":"2026-08-07T10:24:25.707268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.693448Z","title":"Freeman, Fredo Durand, Joshua B","venue":null,"work_id":"9f4abebb-75ed-4509-8c60-39fc22f32876","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.114207Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:e1b80c2970560be1da5430468a0afb027f401d52f3c078b1acfdaa39e93d7094","observation_id":"dcf18d58-38bb-4986-87ea-b13ae3e8fcf9","resolution":{"observed_at":"2026-08-07T10:24:25.697665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.683057Z","title":"Panoptic lifting for 3d scene understand- ing with neural fields","venue":null,"work_id":"04844a90-7744-4e7f-9539-fdd330cdd700","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.117600Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:1ff2ce1b36b845b3fec69409909406a1651ae72215db0a49b305d4c7a2cbc1f7","observation_id":"10c26b11-d60c-47d0-b80f-99c9c9102f0d","resolution":{"observed_at":"2026-08-07T10:24:25.687249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.672712Z","title":"Very deep con- volutional networks for large-scale image recognition","venue":null,"work_id":"33c92cf3-cb32-411e-9bbc-3213520c9164","year":2015},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.121016Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:27a41c0a76e9d03a0cfc89d4f3258d09cb427b748d39895591e429be6f6410f9","observation_id":"69d32895-acbc-4f8e-b756-b61be5e5f9ac","resolution":{"observed_at":"2026-08-07T10:24:25.676090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.662817Z","title":"Sivic and A","venue":null,"work_id":"ac908cad-3e4d-4a40-9c40-c846f0a27336","year":2006},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.124070Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:eae4e23d312544376974fce9cf155c34916e3870d5f6f5c69131ca3f3a559cf8","observation_id":"3d9f28cf-2a29-42fd-ae39-59eb871c4b34","resolution":{"observed_at":"2026-08-07T10:24:25.666450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.15947","last_updated":"2023-02-18T07:00:29Z","snapshot_observed_at":"2026-07-06T14:11:36.289601Z","submitted_at":"2022-10-28T07:11:05Z","title":"NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields","version":2},"cited_work":{"arxiv_id":"2210.15947","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.15947","snapshot_observed_at":"2026-08-07T10:24:25.300781Z","title":"NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields","venue":"cs.CV","work_id":"22c3939e-b432-43bf-af7d-79a642e62800","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.127174Z"},"links":{"cited_paper":"/paper/2210.15947","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:9d422af5a67721fc5a6a1dab5a9a4ccbbb410dd56c00e0cd0470923da91f1c7c","observation_id":"d36bb915-e923-48f3-bd75-97c232765f87","resolution":{"observed_at":"2026-08-07T10:24:25.306078Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.652149Z","title":"Dense point trajectories by gpu-accelerated large displace- ment optical flow","venue":null,"work_id":"d4aaf873-859c-4025-88f1-5a6ca9e995dd","year":2010},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.131019Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:8be05c89a40771d2a4fbe6dd2962f4ab72ebf155f4ae1de71184567f635be688","observation_id":"158bd12d-6cd1-4ebc-84a0-37a19d69d8d4","resolution":{"observed_at":"2026-08-07T10:24:25.656909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.642391Z","title":"Meaningful maps with object-oriented semantic mapping","venue":null,"work_id":"810b8ff0-e866-41c8-8f7c-7c6e4d15acaa","year":2017},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.134016Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:a52d3ddc3f9305d924cb754d2e58b4b4dde802dcc937302c42b5f266205b9b90","observation_id":"61fe56d6-8765-44a8-970b-372c08fca40f","resolution":{"observed_at":"2026-08-07T10:24:25.645675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.632931Z","title":"Cnn-slam: Real-time dense monocular slam with learned depth prediction","venue":null,"work_id":"cf985272-8e3d-4af5-b434-ddb487bb41ae","year":2017},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.137102Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:4781f149ca66f3182a5dc8cd4fce2a7848fafce0e9cb7cffdb6b5e17d10f83c4","observation_id":"0dad3d60-c8eb-41a9-a578-d8b511eff63a","resolution":{"observed_at":"2026-08-07T10:24:25.636221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.623295Z","title":"Learning motion patterns in videos","venue":null,"work_id":"ae3f2b95-6931-4319-aad3-db3b77e6025e","year":2017},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.141503Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:fa7307cd1d7b667016c1f38174d86f13b87e4221a06ff3e505caf246621a0398","observation_id":"405b0706-b211-423c-abe4-6332cadfa262","resolution":{"observed_at":"2026-08-07T10:24:25.626970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.613804Z","title":"Training data-efficient image transformers & distillation through at- tention","venue":null,"work_id":"e79f0333-689b-484a-9c19-f4c4046914ca","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.144887Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:cfb15bd0a2fa0b371c27f42553a0107b17234b735c4a9468fe5db729ca20e47e","observation_id":"b0d6aabe-0d24-4add-a430-73da3f17263a","resolution":{"observed_at":"2026-08-07T10:24:25.617083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.604302Z","title":"Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monoc- ular video","venue":null,"work_id":"4d5c766b-f65b-4828-b9e7-fc108c4a55a9","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.149243Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:4526cb7f56eef4320ea430ec868dc23320b10fa1d83165fcdc286b77a8092d11","observation_id":"3bd2d079-069a-4c44-a174-99abd0b78142","resolution":{"observed_at":"2026-08-07T10:24:25.607927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.594511Z","title":"NeuralDiff: Segmenting 3D objects that move in egocen- tric videos","venue":null,"work_id":"af72b6d0-277c-47c2-a7a8-d644f50befaf","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.153112Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:d99637e51c2f58a7e4ef6a7de7c2ad8a19d868950be5df87ad33da48d2982d82","observation_id":"5e06d032-dbd2-4b0c-af90-cdfa71f11783","resolution":{"observed_at":"2026-08-07T10:24:25.597757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.584528Z","title":"Neural Feature Fusion Fields: 3D distillation of self-supervised 2D image representation","venue":null,"work_id":"abb32fca-1c23-4dab-addc-b82fc8cd5c45","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.157376Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:ee97bf3412cd73758793425c25f2a98e2af074df606f688929e5ede96524bdd7","observation_id":"2f06cddc-9ee4-4f32-974b-41166ee50146","resolution":{"observed_at":"2026-08-07T10:24:25.588094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.574198Z","title":"EPIC Fields: Marrying 3D Geometry and Video Understanding","venue":null,"work_id":"606270e2-f91e-4c5f-8919-e3882c555fb4","year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.161440Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:318b3ff94974df51e078d8a89b3d67d2df77e9a5962e7750b8d8364e2514f8d0","observation_id":"a2517e1e-4b75-418e-a129-d7a98467da09","resolution":{"observed_at":"2026-08-07T10:24:25.577737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.564674Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"02fcaba1-aae0-4358-8e64-2a3ca3c3eba5","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.164769Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:2389906b08f7f605c3d9b3df22cac9b9b538b05bf8bd1be7f13b0ed4dff995ec","observation_id":"3cfd68c3-504f-4628-b582-185c56c01547","resolution":{"observed_at":"2026-08-07T10:24:25.568359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.554266Z","title":"In- cremental dense semantic stereo fusion for large-scale se- mantic scene reconstruction","venue":null,"work_id":"fa3d0940-3be6-4e81-a469-457e89c83bfb","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.167898Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:619d3042e36be96c3f7960662d1210b49c8a0613cd8fbb058eb1d050b95e39a5","observation_id":"f834ade6-42f3-445c-bb9f-71251819728b","resolution":{"observed_at":"2026-08-07T10:24:25.558607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.13260","last_updated":"2021-12-03T03:13:29Z","snapshot_observed_at":"2026-08-05T16:49:26.472193Z","submitted_at":"2021-11-25T21:44:54Z","title":"NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.13260","snapshot_observed_at":"2026-08-07T10:24:25.171231Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.171231Z"},"links":{"cited_paper":"/paper/2111.13260","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:8b7c2ac5b456275b42be7a0d01f89e78069d95907d8804f4798127ec0530fda8","observation_id":"c6e47013-1e8f-497e-b376-3f4e4324ca60","resolution":{"observed_at":"2026-08-07T10:24:25.171231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.07227","last_updated":"2023-03-10T07:12:32Z","snapshot_observed_at":"2026-08-09T00:58:26.338460Z","submitted_at":"2022-08-15T14:32:10Z","title":"DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.07227","snapshot_observed_at":"2026-08-07T10:24:25.175087Z","title":"Dm-nerf: 3d scene geometry decomposition and manipulation from 2d images","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.175087Z"},"links":{"cited_paper":"/paper/2208.07227","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:0279425c41b898cc78fcb4ca3b08d0ee4134f677e98116c18c849e9ec4c1da18","observation_id":"ed7d20e1-c231-4370-8207-1304076daa64","resolution":{"observed_at":"2026-08-07T10:24:25.175087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.05994","last_updated":"2021-05-12T22:38:30Z","snapshot_observed_at":"2026-07-06T11:08:59.470370Z","submitted_at":"2021-05-12T22:38:30Z","title":"Neural Trajectory Fields for Dynamic Novel View Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.05994","snapshot_observed_at":"2026-08-07T10:24:25.179030Z","title":"Neural trajectory fields for dynamic novel view syn- thesis.arXiv.cs, abs/2105.05994, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.179030Z"},"links":{"cited_paper":"/paper/2105.05994","citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:807624fbbf12f763584bbda45a53cd53d6c26720abe6e03a90e0e2e0a4bbc23e","observation_id":"9fde2564-df89-47dc-8cf5-b55e84d9f639","resolution":{"observed_at":"2026-08-07T10:24:25.179030Z","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":"2026-08-07T10:24:25.544075Z","title":"Fourier PlenOctrees for dynamic radiance field rendering in real-time","venue":null,"work_id":"4cb691db-1d1f-4d8e-82e1-b05137723f47","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.182790Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:01f96f428bdded4419409a542ad245f93a320d781f8457ea928be84048a30fab","observation_id":"145845e1-6439-405e-911b-487dfe40fc05","resolution":{"observed_at":"2026-08-07T10:24:25.547972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.533828Z","title":"Zero-shot video object segmenta- tion via attentive graph neural networks","venue":null,"work_id":"d37485f3-c816-4a13-ad2a-4de08a9bb0c2","year":null},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.186101Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:9426c29a2fbd611e60d4e29f7e3e1f407d8827815b3633df906977c5258d9a48","observation_id":"29cdc2e1-3441-4cce-9878-e45aa9189dbd","resolution":{"observed_at":"2026-08-07T10:24:25.537475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.524030Z","title":null,"venue":null,"work_id":"5ad5e33d-3a2a-4634-8175-5eb45d425c2c","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.189838Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:847ee6aa0734f6e228279f09ccd2207642eb905014f02d31bede865d6b71bb53","observation_id":"33a635f0-9d9a-44df-80fe-f27a7cda5f19","resolution":{"observed_at":"2026-08-07T10:24:25.527933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.514318Z","title":"Space-time neural irradiance fields for free-viewpoint video","venue":null,"work_id":"b0ac4021-ee7e-419a-b2ad-34ad6602551c","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.192947Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:c8f20a518eb6dd7b89f91c6901446b0f51df8d00c4619e403a309106254a674b","observation_id":"c48ffbe5-da29-4db8-8212-23bd998afb9a","resolution":{"observed_at":"2026-08-07T10:24:25.517574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.504735Z","title":"Object discovery in videos as foreground motion clus- tering","venue":null,"work_id":"a88f80aa-f585-4762-9ad6-1338cfd29974","year":2019},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.196146Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:2149db534308a8e9a97ca1a9055a9eacfc36f529b75cd7b117fb0b12b95e06f6","observation_id":"3333c5db-6fb5-486a-bddd-f69bbdfca6c6","resolution":{"observed_at":"2026-08-07T10:24:25.508497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.494727Z","title":"Fig-nerf: Figure-ground neural radi- ance fields for 3d object category modelling","venue":null,"work_id":"a8d81818-c650-4fc1-bd3b-27f2d1cc4360","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.199640Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:9fc4fe67be71851fd4a74ad949acfdfedb42a706cef33eee43f4a5ac6c2235ac","observation_id":"392a08f6-cfa2-4012-9465-0f7aca7b7a36","resolution":{"observed_at":"2026-08-07T10:24:25.498992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.485275Z","title":"Segmenting moving objects via an object-centric layered representation","venue":null,"work_id":"8d5fe121-f6a4-4c1c-8578-05f45ed6218a","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.202815Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:2c30a29aa6bca2b734e7a0b62cfbb4ebe9f7d43bf76c0edbe78763128ef043e7","observation_id":"d83da0fe-6c48-4304-937e-e594c83c94ed","resolution":{"observed_at":"2026-08-07T10:24:25.488788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.475469Z","title":"Self-supervised video object segmen- tation by motion grouping","venue":null,"work_id":"f394988c-247d-4403-a2f4-aff46e59d4a4","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.206687Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:5373ce08219735837fd9df90b429a95026ec0f8607c22d074e4e313beb3e3737","observation_id":"8f317725-24bb-4523-b83f-370912356525","resolution":{"observed_at":"2026-08-07T10:24:25.478928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.464929Z","title":"Learning to segment rigid motions from two frames","venue":null,"work_id":"bbfe4d82-658f-4df6-b985-f73c88705be8","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.209730Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:32c993349d9c7c3447defbbaa5fca5f70ab8921ae45ae9264101b563fbca6c24","observation_id":"f1ca9139-edb6-4a6e-ac59-a34c7704bbe5","resolution":{"observed_at":"2026-08-07T10:24:25.469326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.454462Z","title":"Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera","venue":null,"work_id":"ba7bb8c5-5f78-4174-8a72-53866658bb7e","year":2020},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.212794Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:9d139e12236510285e8620b0570e321c78edb8f749e212c6057730f73ee6fe61","observation_id":"7ee0a33e-ff55-40d6-841f-d2af3c3f046c","resolution":{"observed_at":"2026-08-07T10:24:25.458694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.444827Z","title":"Unsuper- vised discovery of object radiance fields","venue":null,"work_id":"b9e46bfb-a9ae-40d9-acd9-1c3ca270c126","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.215908Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:b787196a6226f70f010af77591c30db50c3ccacaa32878412d8ff718d94e91df","observation_id":"fadf9500-e6c0-4c58-bde2-dca530db5bb6","resolution":{"observed_at":"2026-08-07T10:24:25.448154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.434206Z","title":"Star: Self-supervised tracking and reconstruc- tion of rigid objects in motion with neural rendering","venue":null,"work_id":"ab6566b6-800b-442c-bb70-ff68b1ae509c","year":2021},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.219840Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:bc41e02646fe95b4feab8fef4c003a716a533e2a638ed4ad004eda3f6f20d8d0","observation_id":"05965a7b-999e-4df4-95f5-98a87d514d83","resolution":{"observed_at":"2026-08-07T10:24:25.437745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.424361Z","title":"Motion segmentation: A review.Artificial Intelligence Research and Development, pages 398–407, 2008","venue":null,"work_id":"391b0ad6-2885-494f-91fe-3755ce56f638","year":2008},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.223320Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:f8b200888e551926b8bd2cf6a25333f899d1cf0134fc5c0da7c9b6470c69ac08","observation_id":"1cbf51f3-fa00-4eec-a2c3-7b958283e69e","resolution":{"observed_at":"2026-08-07T10:24:25.427780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.414008Z","title":"Fine-grained egocentric hand-object segmentation: Dataset, model, and applications","venue":null,"work_id":"66b71529-188f-4349-a727-7326bed4d41e","year":2022},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.226696Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:3a041e7359bdc2b244c3169e452222b62b49efd58002c7e287ce819df994bc6c","observation_id":"f6e2ca73-5035-4ff6-af87-016822f0085b","resolution":{"observed_at":"2026-08-07T10:24:25.418233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:24:25.403894Z","title":"Nerflets: Local radiance fields for efficient structure-aware 3d scene representation from 2d supervision","venue":null,"work_id":"73535638-9cfa-4cc0-b57d-49b4a05e22db","year":2023},"citing_paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-07T10:24:25.230507Z"},"links":{"citing_paper":"/paper/2506.05546"},"observation_digest":"sha256:89976a6ebd1a512cee6f52abe7e7b696e08099bfc788ac79cbc8bc6142e365b6","observation_id":"d11bccfc-2338-4dfb-93f5-12cc33462b9f","resolution":{"observed_at":"2026-08-07T10:24:25.407514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.05546","last_updated":"2025-06-22T15:25:15Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T21:02:12.657021Z","submitted_at":"2025-06-05T19:46:48Z","title":"Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":37,"verified_exact":2,"verified_fuzzy":61},"total_outbound_references":104},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 0 inbound Pith citation observations for arXiv:2506.05546."}