{"as_of":"2026-08-15T08:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:040615f4afa71ae61b4cf78317088fdb5d30a3a31d656bb2031f2923440cdc5d","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:44:46.269717Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2412.02267/citation-record","integrity":"/paper/2412.02267/integrity","json":"/paper/2412.02267/citation-record.json","paper":"/paper/2412.02267"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:44:47.050853Z","title":"F ´acil, Javier Civera, and Jos ´e Neira","venue":null,"work_id":"e5581acc-c7dc-46e8-b1d5-12c4f9abcee9","year":2018},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.036430Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:56bdae23a25990f0da85f610b635aecb936f19054282ba5755382119c02ca69a","observation_id":"d1708b8a-66a0-48b5-9d54-f8aab43c882b","resolution":{"observed_at":"2026-08-11T23:44:47.054534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:47.039678Z","title":"F ´acil, Javier Civera, and Jos ´e Neira","venue":null,"work_id":"2f71b45d-4db8-428c-8894-edba8f63a30b","year":2020},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.041304Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:c0400f8e587cdd31ad94e29ef164cebcc5e8fd997c3df7d2ddae2c0b741d4aa9","observation_id":"70186cb1-e195-46bc-abfe-823d9f5ec80d","resolution":{"observed_at":"2026-08-11T23:44:47.043804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10683","last_updated":"2024-08-14T13:43:28Z","snapshot_observed_at":"2026-08-13T00:53:04.573359Z","submitted_at":"2024-03-15T21:06:14Z","title":"GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10683","snapshot_observed_at":"2026-08-11T23:44:46.045572Z","title":"Gs-pose: Generalizable segmentation-based 6d object pose estimation with 3d gaussian splatting.arXiv preprint arXiv:2403.10683,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.045572Z"},"links":{"cited_paper":"/paper/2403.10683","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:1972a4b027274fce973632f12e54b6d751ad265b59339808f6965d9511b234b3","observation_id":"11ca5558-0d4b-4169-bd41-733ddcfdbf63","resolution":{"observed_at":"2026-08-11T23:44:46.045572Z","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":"2026-08-11T23:44:47.028476Z","title":"Reconstruct locally, localize glob- ally: A model free method for object pose estimation","venue":null,"work_id":"70f0892f-b1a0-4746-9dc8-3990c4bf7bb0","year":2020},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.050542Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:7ed3a8440ac07ba05a94856723f431d3363c346d23bdfa922877ecb19bc3beb7","observation_id":"c15fbb6b-717e-4a00-8d80-d1c47d6c2503","resolution":{"observed_at":"2026-08-11T23:44:47.032340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:47.016980Z","title":"3d-r2n2: A unified approach for single and multi- view 3d object reconstruction","venue":null,"work_id":"b91677be-7d85-414f-81fe-a6cddb20a6dd","year":2016},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.054869Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:778c32140d450b603f0a220376777fdd2b85f9569ff6c3398d65ed546035541c","observation_id":"be337ba8-56f9-4346-94dc-5f52be1de7ab","resolution":{"observed_at":"2026-08-11T23:44:47.020993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.04752","last_updated":"2017-01-17T16:39:32Z","snapshot_observed_at":"2026-08-14T21:39:13.045213Z","submitted_at":"2017-01-17T16:39:32Z","title":"3D Reconstruction of Simple Objects from A Single View Silhouette Image","version":1},"cited_work":{"arxiv_id":"1701.04752","doi":null,"metadata_source":"pith","pith_arxiv_id":"1701.04752","snapshot_observed_at":"2026-08-11T23:44:46.460228Z","title":"3D Reconstruction of Simple Objects from A Single View Silhouette Image","venue":"cs.CV","work_id":"a82f7886-42fa-4442-9488-1a1d29ff75c7","year":2017},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.059240Z"},"links":{"cited_paper":"/paper/1701.04752","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:d92851a05481e7f1dba13986c404a61437c5fad5afbcbf9fa3d4ad0e483aac23","observation_id":"02011077-c452-456f-92f8-80029ad18efc","resolution":{"observed_at":"2026-08-11T23:44:46.467545Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:47.005226Z","title":"Supersplat: 3d gaussian splat editor, 2024","venue":null,"work_id":"719e6401-be04-4c22-aee9-6cc209ea6bc6","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.063701Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:9180f26032dfee82a785838ea508d7bcc2b05c79f54ee6c7810dc3be4f4f8e80","observation_id":"23cedf9f-013b-4f77-917a-4e786ba1c916","resolution":{"observed_at":"2026-08-11T23:44:47.009467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.992916Z","title":"Instantsplat: Sparse-view sfm-free gaussian splatting in seconds, 2024","venue":null,"work_id":"3e6e6320-01ef-4e12-a2da-e279977fbe7b","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.068023Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:852e937e3ab860bb98438ab357ccba0e7452dfc1a9f1b6bc1513a0076de1196c","observation_id":"d1156752-7e16-477b-b55d-f7a187f66bbc","resolution":{"observed_at":"2026-08-11T23:44:46.997112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.981989Z","title":"Efros, and Xiaolong Wang","venue":null,"work_id":"23d27292-c2a2-4ba2-9257-7d920fecfea7","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.073753Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:179e4d7daac18dd5b10d338415e0cf8c5d4a8133507a14de1f176cfb81016cbd","observation_id":"8506ef96-5f7e-41d6-86a7-f2681d1c3f44","resolution":{"observed_at":"2026-08-11T23:44:46.985717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14437","last_updated":"2023-10-22T22:47:51Z","snapshot_observed_at":"2026-08-13T16:46:32.545258Z","submitted_at":"2023-10-22T22:47:51Z","title":"Mobile AR Depth Estimation: Challenges & Prospects -- Extended Version","version":1},"cited_work":{"arxiv_id":"2310.14437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.14437","snapshot_observed_at":"2026-08-11T23:44:46.433746Z","title":"Mobile AR Depth Estimation: Challenges & Prospects -- Extended Version","venue":"cs.CV","work_id":"286501bd-b15a-4186-820c-6fe69321a9f8","year":2023},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.078092Z"},"links":{"cited_paper":"/paper/2310.14437","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:bb8e99e28707117fbea6964d5efa57a19387e8578e467983f567cef3494d5e16","observation_id":"0e350aba-4dcd-483d-a63a-23311528b151","resolution":{"observed_at":"2026-08-11T23:44:46.438536Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.970856Z","title":"Honnotate: A method for 3d annotation of hand and object poses","venue":null,"work_id":"f2f77f60-4c0e-411f-a8ff-ef3d68564798","year":2020},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.082688Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:e68f1d21c84ffe701a799a57d3dec558ec6cca69674110d87692fae2284d008e","observation_id":"6f266fdb-51f3-414f-a606-8d69e14f25eb","resolution":{"observed_at":"2026-08-11T23:44:46.974850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.959354Z","title":"Fs6d: Few-shot 6d pose estimation of novel objects","venue":null,"work_id":"c59101b3-7073-4152-91af-d7fad662e1c6","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.087142Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:827ea97da7c92f6727a65d8d1ac9abeab1afb57c7ca69f94327443628e2d6d57","observation_id":"51f0d39a-6793-4692-852c-0c60b88fdda8","resolution":{"observed_at":"2026-08-11T23:44:46.963135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.947443Z","title":"Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes","venue":null,"work_id":"d8307a64-3b92-40bb-ac68-b43bdd006d88","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.094548Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:634b5af5d7577f7bbcdc19fb805c6e77b13dbdd192cb22347fa44874954515f1","observation_id":"4d6a9ec6-3408-47a1-b3a2-d2a03da3ce12","resolution":{"observed_at":"2026-08-11T23:44:46.951563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.098753Z","title":"Real-time perception meets reactive motion gener- ation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.098753Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:605e8690a67b9e7da13d351f0ead0644d446d9c0721cadf4547c9be5199e73cb","observation_id":"ff40073e-5765-4858-9cf1-9b462e840126","resolution":{"observed_at":"2026-08-11T23:44:46.098753Z","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":"2026-08-11T23:44:46.928904Z","title":"Sd-6d: Making rgb-based 3d de- tection and 6d pose estimation great again","venue":null,"work_id":"0f3cb29e-8ab7-427b-9d35-dcc9c129f617","year":2017},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.102641Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:d05a54842a25a815402e7b7a4f60c20988897a99c43ecb06cb7870f4173dcea4","observation_id":"fa11dd46-d56f-4899-999b-9353147edb88","resolution":{"observed_at":"2026-08-11T23:44:46.932620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.918423Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"1d4df135-7284-4146-9c7f-2506265e300a","year":2023},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.106238Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:3d879e7988bf4801046ba693c745a13df4cdd2187e0c818a88eb2e3a57d1c178","observation_id":"158bd291-53bb-442d-b727-4cc8e605682a","resolution":{"observed_at":"2026-08-11T23:44:46.922316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.907142Z","title":"PTAM: Real-time tracking and mapping for augmented reality","venue":null,"work_id":"acb0075d-2d79-4ae4-aac5-a9f695301a4b","year":2007},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.110092Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:6bd3016218cdbe8234a05ae00c854e86e4d59be3f7cf9c080c9e33565d9ce2b5","observation_id":"dbfc0c4b-2622-4a4a-9da0-c4b88cbba6ec","resolution":{"observed_at":"2026-08-11T23:44:46.911435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.894777Z","title":"CosyPose: Consistent multi-view multi- object 6d pose estimation","venue":null,"work_id":"9f1ec99b-ed66-41d3-97c4-b3dc3c135efb","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.113507Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:af419173b775671dc7ae5e20392031890a87f5f541312bc3952e3943d1601f5a","observation_id":"1c7eefb3-bb4f-492b-8b35-7bc2d89f993e","resolution":{"observed_at":"2026-08-11T23:44:46.899039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.04802","last_updated":"2023-09-09T04:49:33Z","snapshot_observed_at":"2026-08-13T20:05:09.123791Z","submitted_at":"2022-03-09T15:28:02Z","title":"NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.04802","snapshot_observed_at":"2026-08-11T23:44:46.117069Z","title":"Nerf-pose: A first-reconstruct-then- regress approach for weakly-supervised 6d object pose esti- mation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.117069Z"},"links":{"cited_paper":"/paper/2203.04802","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:2fe685800a2bff079d1fcf4dd36dcb6a15a5f5a7aa60d1c1f981f8ae228af6e1","observation_id":"379a5f02-c3ae-48d9-b342-f2464e3d811c","resolution":{"observed_at":"2026-08-11T23:44:46.117069Z","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":"2026-08-11T23:44:46.882721Z","title":"Barf: Bundle-adjusting neural radiance fields","venue":null,"work_id":"d18cbb1b-ced7-4dde-b25c-32d80295d42a","year":2021},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.121013Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:350622378e6a99e898fe005cc20aabf91a56def947d0a727aad9dd48b0a02ef7","observation_id":"eca81f69-5e90-4a43-8695-ff08f0ab6dc1","resolution":{"observed_at":"2026-08-11T23:44:46.886505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.872003Z","title":"Onepose: One-shot ob- ject pose estimation without cad models","venue":null,"work_id":"d1a86b3f-b542-42f7-bd86-f322febbff6b","year":2022},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.124573Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:41655b152f062c242aa80eac82045bf6a7b47cdb6ea5c1785d8b1281ef324a1a","observation_id":"07f82c31-faf4-4f5a-983f-3565392f3d77","resolution":{"observed_at":"2026-08-11T23:44:46.875777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02581","last_updated":"2024-09-04T10:03:11Z","snapshot_observed_at":"2026-08-14T22:26:01.510713Z","submitted_at":"2024-09-04T10:03:11Z","title":"Object Gaussian for Monocular 6D Pose Estimation from Sparse Views","version":1},"cited_work":{"arxiv_id":"2409.02581","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.02581","snapshot_observed_at":"2026-08-11T23:44:46.376903Z","title":"Object Gaussian for Monocular 6D Pose Estimation from Sparse Views","venue":"cs.CV","work_id":"dd8569c9-eb18-4218-a15a-83718cd3bc0e","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.127949Z"},"links":{"cited_paper":"/paper/2409.02581","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:faae70eee149f89c94a5096cf350bf3d0eefffdd85ea73a38af77235a28bbad7","observation_id":"39646876-2217-4dd1-a501-22574497e226","resolution":{"observed_at":"2026-08-11T23:44:46.383975Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.861704Z","title":null,"venue":null,"work_id":"cac3ee09-3279-4bb4-97b0-b5ac635568c5","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.132035Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:10598421e0fc0ba5455003dda527daa101d48b47887a1e0c7ff1b2159db53e64","observation_id":"77137cc5-2c22-4ddb-947e-932d4023e09b","resolution":{"observed_at":"2026-08-11T23:44:46.865295Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.851343Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":"02f89968-aff6-4f39-8259-c0108139e49d","year":2020},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.135820Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:0d714739195c4c71cdc8e30692bd350f6ad8b5ef5cf390be0f06b6d2425a340f","observation_id":"6ed22a20-7ec4-45a1-a799-2ebeddfcd788","resolution":{"observed_at":"2026-08-11T23:44:46.855302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.840673Z","title":null,"venue":null,"work_id":"8c08ea5d-310f-446d-93da-43ab2210fc35","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.139745Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:a92cfb09ffd87d43bf6a425a491a50c041cf5f5ae5ed980a2ac6b56918b755df","observation_id":"180b0878-3540-4d6f-8a8e-4fcd84017a51","resolution":{"observed_at":"2026-08-11T23:44:46.844292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.829278Z","title":"Quadricslam: Dual quadrics from object detections as land- marks in object-oriented slam","venue":null,"work_id":"ffb8acf2-2eba-4755-87ea-fada085c7d11","year":2018},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.143898Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:aa979a62ce29ae33bd755e0f090344a1d182a106f3e5c0a154c1d07470f9cd89","observation_id":"540ff926-5270-431a-94fe-da6f6cff875b","resolution":{"observed_at":"2026-08-11T23:44:46.833494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.817520Z","title":"Pix2Pose: Pixel-wise coordinate regression of objects for 6d pose es- timation","venue":null,"work_id":"4b695bd2-289a-46dc-9bda-8890f973705b","year":2019},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.147814Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:5e0cfb2a1573b7768035a09d2fb3939eb9cd341648ed06d8f4e1290ac1d4b97d","observation_id":"74ff9a2c-7d05-4737-b004-3db98bd71e44","resolution":{"observed_at":"2026-08-11T23:44:46.822036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.805540Z","title":"Pvnet: Pixel-wise voting network for 6dof pose estima- tion","venue":null,"work_id":"9f74e105-7276-4018-a5fc-9f051d6219ab","year":2019},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.151844Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:bad1fffeb6f0bfa1247a863a90d74610b10890d2cf1c57245aa3b22a20ef2730","observation_id":"c3a931f7-504f-452d-922c-cfe17dd2c45c","resolution":{"observed_at":"2026-08-11T23:44:46.809910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.792617Z","title":"Cornet: Generic 3d corners for 6d pose estimation of new objects without retraining","venue":null,"work_id":"9981a644-72f9-4e40-a49c-89439efb9c3d","year":2019},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.155926Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:3de2a1ece91d139ef93f106071dc4377edd9594d230845ac644cda551719f508","observation_id":"7aaf4644-4d50-4be3-a544-08caf510f52e","resolution":{"observed_at":"2026-08-11T23:44:46.796682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.781055Z","title":"A unified mpc framework for whole- body dynamic locomotion and manipulation","venue":null,"work_id":"878b7934-7edf-4867-97ef-c377275537a6","year":2021},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.159692Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:b0fe72a6d9f53dc1819349de9201e9561fc820ed5c6d25bc354cf074330a1e00","observation_id":"a9343afd-87a0-4a50-afb9-73cbd0b31394","resolution":{"observed_at":"2026-08-11T23:44:46.785058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.769962Z","title":"Evaluation for odometry","venue":null,"work_id":"2ce1f83b-af68-444b-914f-71293a86b063","year":2012},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.163273Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:a00c75599abda23882b32deff20a883acf84b70de2bc00ffa95cd22790e14466","observation_id":"6c7cc256-0a24-42b3-b6a4-c5bc879bffb0","resolution":{"observed_at":"2026-08-11T23:44:46.773824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.758234Z","title":"Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras","venue":null,"work_id":"eeb99d84-4b91-4ca6-94c2-7969f078fd1a","year":2021},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.166975Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:3d288e54bddc37d6e65647985795c293119a3e12195914984f0c1cd128ce598d","observation_id":"b3325e62-5664-4c42-a41b-24b042017f39","resolution":{"observed_at":"2026-08-11T23:44:46.762263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.745446Z","title":null,"venue":null,"work_id":"acd0a2c4-007b-4118-9b8b-a902c9970ff6","year":2019},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.170839Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:c54f6e4d110451dbe8fe8e86a114261668cebe16afae3d9cbf08d7e110dedb82","observation_id":"6f069713-5340-4493-b4d2-2f02d3cca93d","resolution":{"observed_at":"2026-08-11T23:44:46.749714Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.732797Z","title":"DUSt3R: Geometric 3d vision made easy","venue":null,"work_id":"faebf74c-5c0f-4e55-aa2b-82e4a7b2d0c9","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.174616Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:2fda9671af8a4aea7a59d009160a06fdbfccf9e7719bc55278c4fa664a3e5e74","observation_id":"0cb613cd-5d0e-4088-a963-9eb1bbd1128b","resolution":{"observed_at":"2026-08-11T23:44:46.737419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.719908Z","title":"Pixel2mesh: Generating 3d mesh models from single rgb images","venue":null,"work_id":"a3566c0c-a928-4d56-95d1-da32dd5678d5","year":2018},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.178303Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:b6bd4f95276a3689958d7a2257b234b6e06be31480a2725e6afc58b028306e59","observation_id":"74b8ec74-73ec-4952-a218-5672e7337756","resolution":{"observed_at":"2026-08-11T23:44:46.724920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.707090Z","title":"Image quality assessment: From error visibility to structural similarity","venue":null,"work_id":"fdbdde05-6ff3-43f8-abbe-51d542c2b83e","year":2004},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.182228Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:6a6ce29d0d6d69c631cdf0d08eb14ddaf82c691bedf9604a68b948cc42c7bf6a","observation_id":"423345a8-7f51-48e1-964f-f72c586d3b27","resolution":{"observed_at":"2026-08-11T23:44:46.711186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.695714Z","title":"Splat3r: Zero-shot gaussian splatting from uncali- brated image pairs, 2024","venue":null,"work_id":"1cd81d91-53c7-4a7f-960f-d5ce7c6a6a33","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.186217Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:c9877752d3db27eeb94253d56f97e30bdc774e94b04f38911c11e2058dc66870","observation_id":"a988efb7-16b3-4968-83ae-9137874e4d2a","resolution":{"observed_at":"2026-08-11T23:44:46.699723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.683626Z","title":null,"venue":null,"work_id":"169f11e8-6998-4d16-a6e2-1e0cf1dc1c86","year":2021},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.190207Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:40bb364c7fd0553c52d8cc795ebb8338345ef0a3d484a9e4f072a25dea09c123","observation_id":"b4a3f8d6-c6b4-4c0f-a05a-eddf8df2efeb","resolution":{"observed_at":"2026-08-11T23:44:46.687776Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.193941Z","title":"Catgrasp: Learning category-level task-relevant grasping in clutter from simulation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.193941Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:91995f2582ea24fdecad174d69ebb3383134e7e49118a315b0483a4c5cf54199","observation_id":"d0fef509-3e33-4b9c-bc97-155fca173125","resolution":{"observed_at":"2026-08-11T23:44:46.193941Z","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":"2026-08-11T23:44:46.664072Z","title":"Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects","venue":null,"work_id":"7fa674c0-f261-4880-b9cb-a57b0c8ecee4","year":2023},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.197722Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:457d55861748811b4d549fafd86322db6754f9b4fed23fae1669f14ff9429973","observation_id":"6576c8be-33f3-4091-90e8-5c24d59dd8ae","resolution":{"observed_at":"2026-08-11T23:44:46.668361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.651845Z","title":"Visualsfm: A visual structure from motion sys- tem","venue":null,"work_id":"b5ba151a-a27b-4c6e-bffa-b93ac9a5d199","year":2011},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.201538Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:90c38094f0621fff41dc84fc24c1669b01135f7d7b0b60ff2abcb8c41b30c9bd","observation_id":"d1c97d24-1eb3-42c6-bc81-52a6bdb9bf34","resolution":{"observed_at":"2026-08-11T23:44:46.656382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.639464Z","title":"Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes","venue":null,"work_id":"5e20bae4-f8d0-4972-b93b-f09b87282c7e","year":2018},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.205454Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:a019efe8011efb7b7000321586e2f22cd919384ef44c7d9cabc8ecc74bdcab8f","observation_id":"3635b5de-8bd0-4681-b77e-9818b6ed587b","resolution":{"observed_at":"2026-08-11T23:44:46.644076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00206","last_updated":"2026-06-23T19:23:37Z","snapshot_observed_at":"2026-08-15T05:45:01.505776Z","submitted_at":"2023-11-30T21:38:22Z","title":"SparseGS: Sparse View Synthesis using 3D Gaussian Splatting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00206","snapshot_observed_at":"2026-08-11T23:44:46.209436Z","title":"Sparsegs: Real- time 360° sparse view synthesis using gaussian splatting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.209436Z"},"links":{"cited_paper":"/paper/2312.00206","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:be8034beef0fe394b151abee07a012787830ae7b359dde2d32a9fd619a45e2c2","observation_id":"52bf4d65-8bce-4c8c-8b7e-393d4267b6d0","resolution":{"observed_at":"2026-08-11T23:44:46.209436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17036","last_updated":"2023-10-02T09:50:47Z","snapshot_observed_at":"2026-08-13T10:02:32.283741Z","submitted_at":"2023-09-29T07:50:09Z","title":"UniQuadric: A SLAM Backend for Unknown Rigid Object 3D Tracking and Light-Weight Modeling","version":2},"cited_work":{"arxiv_id":"2309.17036","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.17036","snapshot_observed_at":"2026-08-11T23:44:46.343685Z","title":"UniQuadric: A SLAM Backend for Unknown Rigid Object 3D Tracking and Light-Weight Modeling","venue":"cs.RO","work_id":"bec9ed6d-0c60-4400-a679-b8eb55ac6d7d","year":2023},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.213954Z"},"links":{"cited_paper":"/paper/2309.17036","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:38dc5e1cc69d7e68b18d4d580cbd10ca6e69c6754b9470d2eefb0c65194a7e81","observation_id":"cd166d2e-1e79-4798-ae4a-18b2ad5cb870","resolution":{"observed_at":"2026-08-11T23:44:46.350346Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.626954Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":"ac4e9e5f-6587-46b6-899c-3226967204c3","year":2024},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.218082Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:8b0b24a87734e87814a658871ba629cc2e60aa6242e97661742f9b28fdf7008a","observation_id":"239a3113-1abd-4af8-8fc1-d25a3fe98f1c","resolution":{"observed_at":"2026-08-11T23:44:46.631975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.614021Z","title":"Cubeslam: Monocular 3-d object slam","venue":null,"work_id":"8b2347e2-fb25-42e1-acf3-5fbb0574f6f8","year":2019},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.221946Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:16e407bc4724a482295ed37d47345e9fd6df50205b6eec936a3ca9162aadb3e2","observation_id":"ac12d05f-7c5e-4f75-b189-560e0a079f5c","resolution":{"observed_at":"2026-08-11T23:44:46.618697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.601871Z","title":"Deepmvs: Learning multi-view stereopsis","venue":null,"work_id":"2b2452b2-565e-405b-848f-e870fffbff2a","year":2018},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.225773Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:0a3f97a5bbc320ac4179499d7f3ea046d3b703b541ec8f17e75198ea1e383b76","observation_id":"0e5e8cef-f729-4514-9a4b-b79c92455599","resolution":{"observed_at":"2026-08-11T23:44:46.606306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24207","last_updated":"2024-10-31T17:58:22Z","snapshot_observed_at":"2026-08-14T22:35:09.667319Z","submitted_at":"2024-10-31T17:58:22Z","title":"No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24207","snapshot_observed_at":"2026-08-11T23:44:46.229921Z","title":"Noposplat: No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.229921Z"},"links":{"cited_paper":"/paper/2410.24207","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:a53dbe5284dd91df8e5c1007a7b8bfff2139bbce50fe81843cd542d62ca4e54e","observation_id":"0e1412fb-b090-4689-8b65-7b5150be34e6","resolution":{"observed_at":"2026-08-11T23:44:46.229921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.17663","last_updated":"2024-01-12T15:28:22Z","snapshot_observed_at":"2026-08-14T03:07:57.474349Z","submitted_at":"2023-12-29T16:05:02Z","title":"Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.17663","snapshot_observed_at":"2026-08-11T23:44:46.234492Z","title":"Shape-iou: More accurate metric considering bounding box shape and scale","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.234492Z"},"links":{"cited_paper":"/paper/2312.17663","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:9d7a1b4fe1d1f69ed1cd8a4b40cbb339af20f264d07f4f70921e1d5560a78efb","observation_id":"5179ab40-8aa5-4e6e-9e6f-d577187ff552","resolution":{"observed_at":"2026-08-11T23:44:46.234492Z","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":"2026-08-11T23:44:46.588553Z","title":"Neuralrecon: Real-time coherent 3d reconstruc- tion from monocular video","venue":null,"work_id":"59854092-30a1-4033-8c3e-a5737f7d3e81","year":2021},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.238360Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:312cd6dcae688f1257eee91746a64cdb43a7854f82250aec1e98995f0ff1a81c","observation_id":"9f1563b7-3c2c-4fff-9739-dbcb0f6598d9","resolution":{"observed_at":"2026-08-11T23:44:46.593310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01349","last_updated":"2024-06-06T17:39:50Z","snapshot_observed_at":"2026-08-12T23:51:33.450266Z","submitted_at":"2024-06-03T14:13:13Z","title":"Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01349","snapshot_observed_at":"2026-08-11T23:44:46.242071Z","title":"Drivefeedforward: Unleashing generalization of end-to-end autonomous driving with controllable long video generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.242071Z"},"links":{"cited_paper":"/paper/2406.01349","citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:9fbc7c676c4a4378bc3b694562ca86bcaed1ff1c032492bd9035d03c3384d2d3","observation_id":"164aebd8-5662-44e9-a4c5-eea106eba443","resolution":{"observed_at":"2026-08-11T23:44:46.242071Z","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":"2026-08-11T23:44:46.574713Z","title":"Zhao et al","venue":null,"work_id":"c4334daf-d16a-43e0-9101-1ebe4debe228","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.246151Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:f98a0146ca5b9e355dee677c1f8b830de83bb90df568138e234fa6a00205d8df","observation_id":"a3fa535b-c73f-4b76-ac3a-f3c0ade87a35","resolution":{"observed_at":"2026-08-11T23:44:46.579616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.545668Z","title":"Data Preprocessing During the data preprocessing stage, for the segmented video image Ft, we first enlarge the image to reduce the relative proportion of background noise","venue":null,"work_id":"73534ecf-84bc-4bda-839d-3b376c342613","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.253690Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:38fbb9e15424e5ce59e77e0e5d5687c6307837309c8f8a81a1ed08a97d31026d","observation_id":"3636a30e-c26f-4b49-9925-06d9590a9c59","resolution":{"observed_at":"2026-08-11T23:44:46.549875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.532984Z","title":null,"venue":null,"work_id":"8b6919a1-caad-4fb4-93e4-2248e2ae2b69","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.257620Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:0f238f86dd68657658acaf9a8f40bd1efb404c2e031b864ebb3aec943c1e3f8d","observation_id":"ee2d6d3a-cf95-41e5-bdf6-658717e024c5","resolution":{"observed_at":"2026-08-11T23:44:46.537129Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.520033Z","title":"6, we selected 6 representative video sequences from the HO3D dataset, which include 4 dy- namic objects","venue":null,"work_id":"43c929fd-9dad-4cda-9d3f-aed50c77492e","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.261715Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:eee660bc4a608a2350ec8e076e92cc1787e77573cae17f887317e338326f9cf1","observation_id":"aa5e2468-f353-4ef6-ba83-1f987bfdd393","resolution":{"observed_at":"2026-08-11T23:44:46.524297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.507860Z","title":"8 and Fig","venue":null,"work_id":"4e411cbb-b788-44f3-9d88-24b541fa3569","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.265842Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:145ca729b52a1e418e74054bd78c289bb4c8c02265fee74dc8d4fdd18d0f2b23","observation_id":"1892b94a-4a8c-49dd-bfc7-f34f8c39b493","resolution":{"observed_at":"2026-08-11T23:44:46.511944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.490958Z","title":null,"venue":null,"work_id":"d4236a29-4624-4374-a92d-34fc44915356","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.269717Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:9fee78a9479cd6c83e9c65f682e713a235a7a1ee9dbd133ce28af824131a4a37","observation_id":"1b910f0b-3f26-40dd-8cb2-e29076d0aab6","resolution":{"observed_at":"2026-08-11T23:44:46.494725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T23:44:46.559578Z","title":"Furthermore, we provide qualitative results for challenging scenarios in the datasets, analyze the limitations of the proposed algorithm, and discuss its broader impact","venue":null,"work_id":"82ca1679-39c7-4bf7-a84b-53d4c0ede4db","year":null},"citing_paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T23:44:46.249773Z"},"links":{"citing_paper":"/paper/2412.02267"},"observation_digest":"sha256:684d03190d4425804b4dcca66c1eb0141d5448433cbcddbdb71a6eb46c4c88d4","observation_id":"0ce788e8-f82b-476e-abc8-f76335e5f076","resolution":{"observed_at":"2026-08-11T23:44:46.565073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.02267","last_updated":"2024-12-03T08:38:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T03:41:44.023926Z","submitted_at":"2024-12-03T08:38:44Z","title":"GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":4,"verified_fuzzy":40},"total_outbound_references":58},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2412.02267."}