{"as_of":"2026-08-09T16:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b15062ce2c0473e38cb8b621f77c0381631ee116bfb3e8a7d4309603e084202","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:08:33.612038Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T03:27:34.346460Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T05:57:24.501843Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"cited_work":{"arxiv_id":"2507.00984","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.00984","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Box pose and shape estimation and domain adaptation for large-scale warehouse automation","venue":null,"work_id":"f397e4e3-bb8b-44af-9afc-6d513ba2d101","year":2025},"citing_paper":{"arxiv_id":"2602.08058","last_updated":"2026-07-28T15:19:46Z","snapshot_observed_at":"2026-08-03T03:27:32.091478Z","submitted_at":"2026-02-08T17:04:54Z","title":"Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-16T05:55:19.254383Z"},"links":{"cited_paper":"/paper/2507.00984","citing_paper":"/paper/2602.08058"},"observation_digest":"sha256:eb0536d3553b7d94b56ab697f4ad966a44b8af8665f452210c74ffca0007d460","observation_id":"e7cf8365-9a35-403f-9268-fd0aa75e453d","resolution":{"observed_at":"2026-05-16T05:57:24.504055Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00984","snapshot_observed_at":"2026-08-03T03:27:34.346460Z","title":"Box pose and shape estimation and domain adaptation for large-scale warehouse automation.arXiv preprint arXiv:2507.00984, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.08058","last_updated":"2026-07-28T15:19:46Z","snapshot_observed_at":"2026-08-03T03:27:32.091478Z","submitted_at":"2026-02-08T17:04:54Z","title":"Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling","version":4},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-03T03:27:34.346460Z"},"links":{"cited_paper":"/paper/2507.00984","citing_paper":"/paper/2602.08058"},"observation_digest":"sha256:8412df8449a9c9ddaaea467d3f3dd1fee05493aea740c460c88426ca1fba6e2a","observation_id":"bd1faf9a-3c65-4654-b560-f8677c6b4d6f","resolution":{"observed_at":"2026-08-03T03:27:34.346460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00984","snapshot_observed_at":"2026-07-13T02:54:07.649377Z","title":"Box pose and shape estimation and domain adaptation for large-scale warehouse automation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09455","last_updated":"2026-07-10T14:24:16Z","snapshot_observed_at":"2026-08-09T09:16:29.009617Z","submitted_at":"2026-07-10T14:24:16Z","title":"Hydra++: Real-Time Hierarchical 3D Scene Graph Construction With Object-Level Shape Estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-13T02:54:07.649377Z"},"links":{"cited_paper":"/paper/2507.00984","citing_paper":"/paper/2607.09455"},"observation_digest":"sha256:8295d66285be2f1b3469af5a80c6867496c5d417854b2d40f3b4c0fc3b0bf21a","observation_id":"117b59d4-881c-4269-9981-1ab5d83f623c","resolution":{"observed_at":"2026-07-13T02:54:07.649377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.00984/citation-record","integrity":"/paper/2507.00984/integrity","json":"/paper/2507.00984/citation-record.json","paper":"/paper/2507.00984"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:37.809230Z","title":"Self-supervised geometric per- ception,","venue":null,"work_id":"58b6ba78-6523-43d7-a89c-49b78b11e4b5","year":2021},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:30.851053Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:e5bd201415466bcd23a9077e2ad1bf0b78b4d8582b5ed47f1b0d5409016fca3c","observation_id":"5509779c-054d-4812-b1f1-b8ef7a20fdcb","resolution":{"observed_at":"2026-08-06T21:08:37.917412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06019","last_updated":"2023-05-11T18:46:39Z","snapshot_observed_at":"2026-07-06T14:51:00.424828Z","submitted_at":"2023-02-12T23:02:03Z","title":"A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06019","snapshot_observed_at":"2026-08-06T21:08:30.963410Z","title":"A correct-and-certify approach to self-supervise object pose estimators via ensemble self-training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:30.963410Z"},"links":{"cited_paper":"/paper/2302.06019","citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:920057fb25fd54e2dfb318cf85af2f4bb2e69040a5de97b99caaa421dc720dda","observation_id":"8b39a32f-0b98-41ab-8554-36e3e71735fa","resolution":{"observed_at":"2026-08-06T21:08:30.963410Z","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":"2026-08-06T21:08:37.639219Z","title":"Certifiable object pose estimation: Founda- tions, learning models, and self-training,","venue":null,"work_id":"4e9d71b3-ac2c-444f-a2f0-28b9df5db6c0","year":2023},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.085652Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:3e2b8c2c1e764b019cb2eceabac13c5706368b2b69a3dafcca2d251d62ef23c4","observation_id":"019b8f97-c37d-4dc7-8017-c24d7a03cd41","resolution":{"observed_at":"2026-08-06T21:08:37.689812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01052","last_updated":"2024-12-02T02:26:21Z","snapshot_observed_at":"2026-07-06T19:59:51.517871Z","submitted_at":"2024-12-02T02:26:21Z","title":"CRISP: Object Pose and Shape Estimation with Test-Time Adaptation","version":1},"cited_work":{"arxiv_id":"2412.01052","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.01052","snapshot_observed_at":"2026-08-06T21:08:33.735842Z","title":"CRISP: Object Pose and Shape Estimation with Test-Time Adaptation","venue":"cs.CV","work_id":"abef7530-4c95-4fc2-bc6c-40f45bc62413","year":2024},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.215751Z"},"links":{"cited_paper":"/paper/2412.01052","citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:d683ac10575d3e51f0c6cae7c50f04b54e14e9f5039b0d4d8141223982b072c1","observation_id":"b9074fea-5fc5-48e4-9a60-5c51eaf42cc6","resolution":{"observed_at":"2026-08-06T21:08:33.789142Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:37.465269Z","title":"Test-time certifiable self-supervision to bridge the sim2real gap in event-based satellite pose estimation,","venue":null,"work_id":"36e6970e-79df-4aa7-84b7-e07fb49b11dd","year":2024},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.295832Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:3c3b4afdeaba0f24700165d1dda549bf6dbfada7769c785a39195f0ac04b19ec","observation_id":"c616f396-c7bc-4f7d-a2fb-ab5094b2bc8b","resolution":{"observed_at":"2026-08-06T21:08:37.564211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:37.328907Z","title":"6-dof object pose from semantic keypoints,","venue":null,"work_id":"58795cc7-8e83-40c3-a0ca-60c55fd8833d","year":2017},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.424391Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:21723bb6cd878b426e695aab83ba26b4940de820171c42ad018ad5092861eeb2","observation_id":"3a73d125-72ca-4e32-8f8b-58c3d1dd53c6","resolution":{"observed_at":"2026-08-06T21:08:37.411528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:37.172398Z","title":"Normalized object coordinate space for category-level 6d object pose and size estimation,","venue":null,"work_id":"2e22630b-f265-478a-93ad-aef895af787d","year":2019},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.513396Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:05682abbbbd065327473e6e18529bb4796739eb05087d2a8280a5ff1075a0aa2","observation_id":"549e2da7-8de5-4946-927f-e851d5e0acbe","resolution":{"observed_at":"2026-08-06T21:08:37.271347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:37.023313Z","title":"Shape prior deformation for categorical 6d object pose and size estimation,","venue":null,"work_id":"b0d787d7-9dac-4dcc-b416-a11220fa5ca0","year":2020},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.625511Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:751c3363283ade530d62cd4379dd035cfda99b4a1dbd7fb451966bf2c1be2418","observation_id":"d2280513-7e67-47f4-a19f-5f8cc0b3b272","resolution":{"observed_at":"2026-08-06T21:08:37.093923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:36.862017Z","title":"Category-level 6d object pose estimation in the wild: A semi- supervised learning approach and a new dataset,","venue":null,"work_id":"cebb7e03-0e45-4fbc-a393-3ebef635d9d1","year":2022},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.701201Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:4bc6011d6bcc4cd34f46c8f27327d7cef6cc86a5da5553999ba6e4911cfc5985","observation_id":"d2e1baa0-6235-4a30-9869-32a07621ff1e","resolution":{"observed_at":"2026-08-06T21:08:36.929613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:36.727877Z","title":"Pallet pose estimation based on front face shot,","venue":null,"work_id":"d9e649ff-e803-4730-90ed-aacc4f945759","year":2025},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.796126Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:5306217e4fa567e0e57389f685b862238f0295e81011d0a17203087359e457f4","observation_id":"f7c9b1af-dc21-45cd-892b-fc06693bcc83","resolution":{"observed_at":"2026-08-06T21:08:36.777814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:36.603142Z","title":"Omni3D: A large benchmark and model for 3D object detection in the wild,","venue":null,"work_id":"ff42da32-8dc5-4c70-8de8-4c1dbadf25b9","year":2023},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.870011Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:bfb52e4f6e06ad9c7e3b2f1c8b6be7846694ea6395df29e0297a0fbe2573d4ae","observation_id":"203adf5a-3ce7-4eed-99d7-732e05da786c","resolution":{"observed_at":"2026-08-06T21:08:36.661035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11825","last_updated":"2019-09-29T08:09:29Z","snapshot_observed_at":"2026-07-06T08:24:41.779661Z","submitted_at":"2019-09-26T00:21:16Z","title":"Unsupervised Domain Adaptation through Self-Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11825","snapshot_observed_at":"2026-08-06T21:08:31.962874Z","title":"Unsupervised domain adaptation through self-supervision,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:31.962874Z"},"links":{"cited_paper":"/paper/1909.11825","citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:8e478f6403a139a79a67c6c1825a14e65b8f52406ac67da53eab28a39285f5a0","observation_id":"89c5986f-210b-4224-a4f2-d88eb0a9cf12","resolution":{"observed_at":"2026-08-06T21:08:31.962874Z","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":"2026-08-06T21:08:36.426707Z","title":"Test-time training with self-supervision for generalization under distribution shifts,","venue":null,"work_id":"413f2cf8-5800-4fbd-b574-bb42651942f2","year":2020},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.070338Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:0358e72ee57fede8d9ac90325752df784159ff892f7c88557b6d8ee182db9a76","observation_id":"7ff4f5f8-609f-483a-bf7c-e07079df0c22","resolution":{"observed_at":"2026-08-06T21:08:36.514637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.04309","last_updated":"2021-04-09T02:47:39Z","snapshot_observed_at":"2026-08-09T01:41:50.099348Z","submitted_at":"2020-07-08T17:56:27Z","title":"Self-Supervised Policy Adaptation during Deployment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.04309","snapshot_observed_at":"2026-08-06T21:08:32.168052Z","title":"Self-supervised policy adaptation during deployment,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.168052Z"},"links":{"cited_paper":"/paper/2007.04309","citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:4e314ac5da49c7f12cf9101faa367a3b1072378124f90b9e866740f45f4d84de","observation_id":"3a5cf096-a024-4f53-8581-36c7cc0126ed","resolution":{"observed_at":"2026-08-06T21:08:32.168052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10726","last_updated":"2021-03-18T17:58:01Z","snapshot_observed_at":"2026-07-06T09:30:32.320227Z","submitted_at":"2020-06-18T17:55:28Z","title":"Tent: Fully Test-time Adaptation by Entropy Minimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10726","snapshot_observed_at":"2026-08-06T21:08:32.240944Z","title":"Tent: Fully test-time adaptation by entropy minimization,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.240944Z"},"links":{"cited_paper":"/paper/2006.10726","citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:b4edd96f42ad895e1e4868fc5aff84da6b0dc9375848877815f78e92d82b1b80","observation_id":"03da5eb0-5082-40a6-a502-9a1f320b2894","resolution":{"observed_at":"2026-08-06T21:08:32.240944Z","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":"2026-08-06T21:08:36.280865Z","title":"Test time adaptation via con- jugate pseudo-labels,","venue":null,"work_id":"00d69a4e-fee2-421b-988f-62f875e49d8e","year":2022},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.306884Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:1e4f64926f0c41bab1f8b8d9fb8943082aeb246ff01aa101998a59a90127e8d1","observation_id":"3b161de3-aba7-499b-849c-44ce8088556b","resolution":{"observed_at":"2026-08-06T21:08:36.368683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:36.120651Z","title":"Memo: Test time robustness via adaptation and augmentation,","venue":null,"work_id":"2ac6edce-9a5c-4581-a8d5-5f28f3d63d80","year":2022},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.388824Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:ccd2b78f476ffe306f9f4548fdf33d97ddb71bf707ef00bc32f35500f16f05e8","observation_id":"a50eb575-4515-48e9-98fb-5ec8051419c9","resolution":{"observed_at":"2026-08-06T21:08:36.207639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:35.938978Z","title":"Embodied ac- tive domain adaptation for semantic segmentation via informative path planning,","venue":null,"work_id":"7b182480-9941-42c2-9a19-dbcee0832179","year":2022},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.478700Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:85ca02cca33767c6913ad44ae035188a08b8c4ddb0d21fe237e7210577887641","observation_id":"b04d2ab0-8b92-4fb1-aca7-85bc7e6ca2d2","resolution":{"observed_at":"2026-08-06T21:08:36.028476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:35.789914Z","title":"Symmetry and uncertainty-aware object slam for 6dof object pose estimation,","venue":null,"work_id":"dd21ca92-f2f8-4d22-8bd6-1c6903ea07ae","year":2022},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.644537Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:275d8b96687253d1f8c41495fd4860706d4a2365b82ec3a46407adf5a4d4101c","observation_id":"982e134b-a0b3-438b-8249-b628d1afbd39","resolution":{"observed_at":"2026-08-06T21:08:35.860889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-06T21:08:32.743814Z","title":"Sam 2: Segment anything in images and videos,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.743814Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:149fdfa10b92404dd728a72dd081b6025e1f1dea99edf082a2c4f58263c2fba2","observation_id":"7303e12b-da1a-4a16-a5f3-96c062699450","resolution":{"observed_at":"2026-08-06T21:08:32.743814Z","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":"2026-08-06T21:08:35.495200Z","title":"A general and adaptive robust loss function,","venue":null,"work_id":"9c8e584f-f431-485f-b676-1c2be44adbde","year":2019},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.860394Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:a0a0dfd160024a2185b69fd8b3ee89028dde6fd24dc91c8c8e97fa6f6a57574e","observation_id":"4a665613-b357-4ee0-9235-d9373af90fb1","resolution":{"observed_at":"2026-08-06T21:08:35.636527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:35.208102Z","title":"Mask r-cnn,","venue":null,"work_id":"4ec3febf-b22f-4cc6-8deb-6d894ab9606f","year":2017},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:32.953071Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:fa2b620ddead47309e9ce7ab4999cb94f3f5dc21beeded484ca223f08303e7d8","observation_id":"b3fc1669-4d12-4300-85c5-442d2181e35b","resolution":{"observed_at":"2026-08-06T21:08:35.358770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:34.927889Z","title":"Pytorch: An imperative style, high-performance deep learning library,","venue":null,"work_id":"2c069d29-e1dc-4d38-b13d-3246b0d26b0f","year":2019},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:33.126123Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:c5de6945183c87c60e0263740ff415dcafa46257ea802a5388a65994752d0793","observation_id":"124f1494-5913-46d2-a401-a42d92e2899d","resolution":{"observed_at":"2026-08-06T21:08:35.046919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:34.654791Z","title":"Pharr, W","venue":null,"work_id":"3485612f-18f4-4a37-895a-ea99c59b5603","year":2023},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:33.245932Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:6b9036c5b3ce377df54d306bf54a3a3d6ec24842460713219fd9d818305dafad","observation_id":"5c3917dd-dff7-4d99-a1cc-7061ee3157f5","resolution":{"observed_at":"2026-08-06T21:08:34.803647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:34.397731Z","title":"Ellipsdf: Joint object pose and shape optimization with a bi-level ellipsoid and signed distance function descrip- tion,","venue":null,"work_id":"cf8e974d-ddcc-4795-9fed-ecd8c654f461","year":2021},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:33.387889Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:3d67eaca78d37f509149147d137145b2f2343d136e8fa4d6a8902157869fde05","observation_id":"c500d6b0-7a3a-4743-8f6b-309bb1befd00","resolution":{"observed_at":"2026-08-06T21:08:34.505122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:34.203880Z","title":"Autosdf: Shape priors for 3d completion, reconstruction and generation,","venue":null,"work_id":"3f4a5f8b-16ba-4511-b61d-2725c758457c","year":2022},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:33.506121Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:82e811b31288e36adf9bbda01d1e90fafd571d6bcc2ebfc8dfa17c183169cff4","observation_id":"702ca13e-aaaf-4d8e-9d89-f26be817f9b9","resolution":{"observed_at":"2026-08-06T21:08:34.304071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:08:33.954225Z","title":"Openshape: Scaling up 3d shape representation towards open-world understand- ing,","venue":null,"work_id":"9f93d874-fdd0-4736-ba26-4e50ed018186","year":2023},"citing_paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:33.612038Z"},"links":{"citing_paper":"/paper/2507.00984"},"observation_digest":"sha256:745aefd07ff499247867200c9a6ee22160fe07906f46b28055f2c4850a6e2317","observation_id":"13ed6365-83ed-4e6b-8f0c-fe9e6e496422","resolution":{"observed_at":"2026-08-06T21:08:34.097371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00984","last_updated":"2025-07-01T17:36:09Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-06T20:58:46.284108Z","submitted_at":"2025-07-01T17:36:09Z","title":"Box Pose and Shape Estimation and Domain Adaptation for Large-Scale Warehouse Automation"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":27},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2507.00984."}