{"as_of":"2026-08-10T17:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:66ea176e5cca78912a88d2682db702df818fc1facb704478a2f1209e0a7c8162","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:45:10.965857Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"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/2506.12782/citation-record","integrity":"/paper/2506.12782/integrity","json":"/paper/2506.12782/citation-record.json","paper":"/paper/2506.12782"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:45:14.147809Z","title":"Exploring ai-based satellite pose estimation: from novel synthetic dataset to realistic validation","venue":null,"work_id":"20e096b8-1959-4b18-8d96-c34484c17119","year":2024},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:08.564252Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:9a167853ffef83fa7abe44f34611f952d8ad1717f2a3daeab73c7dae48ac5288","observation_id":"b48a50a0-aad9-428d-9099-27ec924a365e","resolution":{"observed_at":"2026-08-07T00:45:14.242319Z","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":"2212.13415","last_updated":"2022-12-27T08:57:46Z","snapshot_observed_at":"2026-07-06T14:35:10.557623Z","submitted_at":"2022-12-27T08:57:46Z","title":"Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination","version":1},"cited_work":{"arxiv_id":"2212.13415","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.13415","snapshot_observed_at":"2026-08-07T00:45:11.865646Z","title":"Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination","venue":"cs.CV","work_id":"9e51f236-fbe0-4f60-9488-d9960ea3d454","year":2022},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:08.710256Z"},"links":{"cited_paper":"/paper/2212.13415","citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:21c81cfe1dc01c7fadcca62af080501d9f8cbc1f99f1c9960b3824c38f9eaefd","observation_id":"e8e3d677-aca1-43f3-89d7-3644ee8473d1","resolution":{"observed_at":"2026-08-07T00:45:11.970442Z","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":{"arxiv_id":"2209.11945","last_updated":"2022-09-24T07:22:09Z","snapshot_observed_at":"2026-08-04T23:08:13.275165Z","submitted_at":"2022-09-24T07:22:09Z","title":"Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.11945","snapshot_observed_at":"2026-08-07T00:45:08.880448Z","title":"Towards bridging the space domain gap for satellite pose estimation using event sensing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:08.880448Z"},"links":{"cited_paper":"/paper/2209.11945","citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:53645abedc79b3aa74ecbdf8f06666ccf385ac57671b381ac12d56d893d41979","observation_id":"8bbbd671-340a-46be-a28e-f22acf4572e2","resolution":{"observed_at":"2026-08-07T00:45:08.880448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02050","last_updated":"2020-04-24T18:50:25Z","snapshot_observed_at":"2026-07-30T14:25:26.085863Z","submitted_at":"2019-11-05T19:29:18Z","title":"Satellite Pose Estimation Challenge: Dataset, Competition Design and Results","version":2},"cited_work":{"arxiv_id":"1911.02050","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.02050","snapshot_observed_at":"2026-08-07T00:45:11.652763Z","title":"Satellite Pose Estimation Challenge: Dataset, Competition Design and Results","venue":"cs.CV","work_id":"06b03db9-db9e-41b9-9395-2af2c6e2bd78","year":2019},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:09.015835Z"},"links":{"cited_paper":"/paper/1911.02050","citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:62582ab359504f853e4e92270e999cc42eeabaa01ffdbb9fe73c5aa24c1a6a83","observation_id":"4fe3fcad-bf8d-4c0d-85bd-5b2297203d57","resolution":{"observed_at":"2026-08-07T00:45:11.747252Z","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":"2026-08-07T00:45:13.992300Z","title":"Satellite pose estimation with deep landmark regression and nonlinear pose refinement","venue":null,"work_id":"0ea9e475-a0e1-433e-99ab-d30b141b1c19","year":2019},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:09.185192Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:93800b1c2790a20e858f4701a378ada63cbe2de4b37db2bafd4c0aa40fcd2025","observation_id":"68cf0019-3c05-4573-b201-88bade456a04","resolution":{"observed_at":"2026-08-07T00:45:14.064461Z","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":"2026-08-07T00:45:13.851538Z","title":"Speed+: Next-generation dataset for spacecraft pose estimation across domain gap","venue":null,"work_id":"ed8a33d9-67ee-4e0b-a33d-7f2af479ca85","year":2022},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:09.340263Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:8e3e043916f36304b77aeba77473c20a4565fd832f1498b3da3827da6efa13e5","observation_id":"5dff44bf-1a2c-47fd-b947-1b602436a3f1","resolution":{"observed_at":"2026-08-07T00:45:13.919727Z","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":"2026-08-07T00:45:13.679633Z","title":"Adaptive neural-network-based unscented kalman filter for robust pose tracking of noncooperative spacecraft","venue":null,"work_id":"c420c0c5-b00b-4329-b63f-2e62922a8fe9","year":2023},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:09.464737Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:1ab75c24ed895b90d2322d70bca109a84da9e0a20c9925f0e68bcd1b8abf0c30","observation_id":"804e06e1-4d84-470b-b5d8-2b61c19e9047","resolution":{"observed_at":"2026-08-07T00:45:13.755748Z","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":"2311.05310","last_updated":"2023-11-09T12:14:47Z","snapshot_observed_at":"2026-07-06T16:45:11.604296Z","submitted_at":"2023-11-09T12:14:47Z","title":"SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing","version":1},"cited_work":{"arxiv_id":"2311.05310","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.05310","snapshot_observed_at":"2026-08-07T00:45:11.472394Z","title":"SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing","venue":"cs.CV","work_id":"6a7e9ba6-84f0-4b81-8d78-780f5ee81ac3","year":2023},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:09.608048Z"},"links":{"cited_paper":"/paper/2311.05310","citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:8492bad1ce6ca7a42fa493c703b470ecc17f4969643a203003bd920953cb70d9","observation_id":"f7ff6e38-6a8b-4849-80a1-185daf9a8645","resolution":{"observed_at":"2026-08-07T00:45:11.545229Z","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":{"arxiv_id":"2104.05978","last_updated":"2021-04-14T01:58:18Z","snapshot_observed_at":"2026-07-06T10:59:01.325044Z","submitted_at":"2021-04-13T07:16:55Z","title":"SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.05978","snapshot_observed_at":"2026-08-07T00:45:09.735376Z","title":"Spark: Spacecraft recognition leveraging knowledge of space environment","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:09.735376Z"},"links":{"cited_paper":"/paper/2104.05978","citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:3be5702ee9d0df5f8a2c4092d0eaf4172430eb77d9f3593924333d1f7c7ffc96","observation_id":"92d7d46f-9305-40a3-96c6-b6bd280a62fd","resolution":{"observed_at":"2026-08-07T00:45:09.735376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.04298","last_updated":"2019-08-29T16:03:11Z","snapshot_observed_at":"2026-08-01T16:48:49.929807Z","submitted_at":"2019-07-09T17:32:38Z","title":"Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering","version":2},"cited_work":{"arxiv_id":"1907.04298","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.04298","snapshot_observed_at":"2026-08-07T00:45:11.258999Z","title":"Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering","venue":"cs.CV","work_id":"1583c0b9-3c33-4a74-bc13-42af1c468119","year":2019},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:09.871629Z"},"links":{"cited_paper":"/paper/1907.04298","citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:0704c17899203a56999649b248a729325e379a42ca72ed3c553fdb1899719752","observation_id":"468fc4f3-76af-4082-959f-741c76d0e4c5","resolution":{"observed_at":"2026-08-07T00:45:11.348929Z","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":"2026-08-07T00:45:13.544632Z","title":"Sispo: Space imaging simulator for proximity operations","venue":null,"work_id":"ecb0a2c9-cd77-40ef-8eb1-1bf4db1094f9","year":2022},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.017933Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:1531906aab6f48f75cf1b5a9e7cd5bc45a94ea4b9d97a1ad187310abf30c32a9","observation_id":"55d7dc80-a5eb-423f-a969-9e58e8c12a1a","resolution":{"observed_at":"2026-08-07T00:45:13.607831Z","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":"2026-08-07T00:45:13.384125Z","title":"The surrender software","venue":null,"work_id":"21830f31-42aa-48e0-a1bd-98faed7f774c","year":2021},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.481252Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:f7e64796fcfd2e34f6071132085eec2e2204419540a16c60d65a61a52fa1cc51","observation_id":"521f01be-2762-4574-8b65-a65a46138486","resolution":{"observed_at":"2026-08-07T00:45:13.442827Z","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":"2026-08-07T00:45:13.203191Z","title":"Sanchez-Gestido","venue":null,"work_id":"c07c916a-4a1d-4265-9b6c-ba5de553b30c","year":2024},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.577106Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:b36c71b82e51f74220698a0dbcc481000f0cabbbd1253cfd0bb336803ed253a4","observation_id":"f310b82a-6961-4e0a-b767-e9c6c60c901a","resolution":{"observed_at":"2026-08-07T00:45:13.288409Z","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":"2406.07500","last_updated":"2024-12-05T10:23:27Z","snapshot_observed_at":"2026-07-06T18:29:04.294349Z","submitted_at":"2024-06-11T17:35:39Z","title":"SPIN: Spacecraft Imagery for Navigation","version":3},"cited_work":{"arxiv_id":"2406.07500","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07500","snapshot_observed_at":"2026-08-07T00:45:11.068091Z","title":"SPIN: Spacecraft Imagery for Navigation","venue":"cs.CV","work_id":"258aa617-b53a-4775-9652-ff5ccd93c72e","year":2024},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.675168Z"},"links":{"cited_paper":"/paper/2406.07500","citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:0f69fed88698abfb64ea11c446e639c1fbdb34844b12770054f3905d4666ccee","observation_id":"5073e6ba-47e5-4137-8134-8779f325fbc1","resolution":{"observed_at":"2026-08-07T00:45:11.169662Z","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":"2026-08-07T00:45:12.972346Z","title":"Houdini: Advanced 3d procedural software for modeling, animation, and rendering","venue":null,"work_id":"dea2bbb4-1608-4be6-b312-6011e85a860d","year":2019},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.813836Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:2d87e6852c750be0b2db98fee7e7309ab4a7b2f69eef72e0f32636e9a7c897be","observation_id":"aa5d861c-4dfa-4b0d-b1b5-d50557c3b78f","resolution":{"observed_at":"2026-08-07T00:45:13.059327Z","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":"2026-08-07T00:45:12.792880Z","title":"Unreal engine: Real-time 3d creation tool","venue":null,"work_id":"7ace7b52-fbc4-4172-8b3f-f42c41630179","year":2023},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.817429Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:6f0cbe9b592739dc424d6924bbaa3d3b2a53258fd10ae4f16ea6a749acd36425","observation_id":"4d00b89d-05bb-4a97-a481-f7731ccc4832","resolution":{"observed_at":"2026-08-07T00:45:12.866439Z","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":"2026-08-07T00:45:12.522437Z","title":"Materialx: An open standard for material and look-development content","venue":null,"work_id":"737ff8f7-ca13-45db-9362-b4f59a4d69c0","year":2017},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.827304Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:ed82dc6c7393d900131933063cf805c275009b5101faee0c1755347e32c8ed51","observation_id":"5e2a7c30-2ec6-4e38-bf12-06cfcb397ad0","resolution":{"observed_at":"2026-08-07T00:45:12.600409Z","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":"2026-08-07T00:45:12.340292Z","title":null,"venue":null,"work_id":"35b8a326-5deb-41f6-b019-42b38b613c40","year":1996},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.901055Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:acb62389783ca77d08e46255181e0690d2f02c3236f02f46413a921c7d94e33a","observation_id":"768d0feb-89cc-46ec-9eb3-201dfea3c128","resolution":{"observed_at":"2026-08-07T00:45:12.441784Z","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":"2026-08-07T00:45:12.116868Z","title":"DLVS3 HST Pose Estimation Dataset","venue":null,"work_id":"907122f4-5783-4c15-a20a-a042640adcd0","year":2025},"citing_paper":{"arxiv_id":"2506.12782","last_updated":"2025-06-15T09:24:32Z","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:45:10.965857Z"},"links":{"citing_paper":"/paper/2506.12782"},"observation_digest":"sha256:4084ab39bd52818b38ea61c3cec5fdf26e8e41a8ff2757e5e223b9f5d11d8262","observation_id":"86f366e9-d04c-4146-a2b1-07b9c094352a","resolution":{"observed_at":"2026-08-07T00:45:12.241235Z","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":"2506.12782","last_updated":"2025-06-15T09:24:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T10:10:41.507694Z","submitted_at":"2025-06-15T09:24:32Z","title":"A large-scale, physically-based synthetic dataset for satellite pose estimation"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":5,"verified_fuzzy":11},"total_outbound_references":19},"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 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.12782."}