{"as_of":"2026-08-17T14:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c35eb8f275cb7ab6bb7e9c9d84fb7771d00bedaf61269ccb9a30c7472c0fe6c0","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:17:33.381473Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2509.07162/citation-record","integrity":"/paper/2509.07162/integrity","json":"/paper/2509.07162/citation-record.json","paper":"/paper/2509.07162"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:17:34.409138Z","title":"Empower dexterous robotic hand for human-centric smart manufacturing: A perception and skill learning perspective,","venue":null,"work_id":"af2fbe51-dc51-491f-a8b4-33b95b75ae51","year":2025},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.113865Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:13a1a6ef31db096420d47bda8b0d4c45aea13948648491135c27701957234735","observation_id":"458d7b62-b30f-40d7-af80-cb4f60bae17e","resolution":{"observed_at":"2026-08-15T16:17:34.412954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.86182","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:17:33.572991Z","title":"Dexterous manipulation for multi-fingered robotic hands with reinforcement learning: A review,","venue":null,"work_id":"ce90c24d-d2d1-4a67-9fab-a442799fdce5","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.118255Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:1b22439d5f51e7717fa8076279ba5bb338ac1b40c35ff370ec2e9b497761ac04","observation_id":"0f053aa2-d2e3-4231-a8ee-efd90e9f0f7c","resolution":{"observed_at":"2026-08-15T16:17:33.579189Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.396999Z","title":"Planning multi-fingered grasps as probabilistic inference in a learned deep network,","venue":null,"work_id":"c280663d-77aa-4f43-ad81-78e4fe1c86ce","year":2017},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.121855Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:c5a42cf02ea6704a484037ec3e9c04867137750f64ee1f0beab7f151bc3a255e","observation_id":"d74e2a5d-ff9b-49c6-a419-856739e42084","resolution":{"observed_at":"2026-08-15T16:17:34.401071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.385493Z","title":"Multi- fingered grasp planning via inference in deep neural networks,","venue":null,"work_id":"cbea9d8e-cf78-4b7f-9388-a06abeb9c422","year":2020},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.125369Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:f79e4343f66011dddf52aeb9a38d5ce773919ef447d51f69d73e5a43ed5bd997","observation_id":"8c0eb585-4390-40e4-ba27-80548bf0164d","resolution":{"observed_at":"2026-08-15T16:17:34.389502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.373615Z","title":"Modeling grasp type improves learning-based grasp planning,","venue":null,"work_id":"3dbffb38-36ed-4201-9cc7-931eafc777c4","year":2019},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.129118Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:80f00a41b174d51f02bd6bcb04ff37354bcd77de9794abf8bfc0d81be028bf1c","observation_id":"5276ed9f-486d-4366-92c8-a161c64e73cb","resolution":{"observed_at":"2026-08-15T16:17:34.377885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.361023Z","title":"Multi-fingered active grasp learning,","venue":null,"work_id":"83ac3119-9989-4f4a-98ad-270d32bb6daf","year":2020},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.132970Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:d01f7b860a7f9ddc25145f518aefabee5a16eecdb1f2f2cd95352da6e34cd24e","observation_id":"07bdb966-6f9f-480d-a941-ce51bae59ee6","resolution":{"observed_at":"2026-08-15T16:17:34.365357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.348173Z","title":"Learning continuous 3d reconstructions for geometrically aware grasping,","venue":null,"work_id":"a3886f12-0f53-4e08-a398-9de098ac4f08","year":2020},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.137295Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:356f194090a0edb1aa1d3157ea74eec8835881a178b1582644bd446bf70c2eaa","observation_id":"5c253253-c7cc-4e9c-acaa-3cd4dca40d67","resolution":{"observed_at":"2026-08-15T16:17:34.352043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.336919Z","title":"Planning visual-tactile precision grasps via complementary use of vision and touch,","venue":null,"work_id":"7f5fffb4-9825-4b13-ab41-8160cd6784ac","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.141068Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:30b883df7b8ab3948fb70102a35acbefed26a96da04a6da1df725b2a461df2f8","observation_id":"55654e8b-57cc-4c0f-9b2b-ffe34076c4f0","resolution":{"observed_at":"2026-08-15T16:17:34.340654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.324474Z","title":"Learning robust real-world dexterous grasping policies via implicit shape augmentation,","venue":null,"work_id":"186332a2-22d0-4aa9-abc9-1257f07d4ee3","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.145625Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:02eb2eec1f575070333e1f79767c7e113a809dc0ad1e1a1c25452c3376b6ef87","observation_id":"ab5e8f64-ee72-44f6-9f89-c63fa954c25f","resolution":{"observed_at":"2026-08-15T16:17:34.329021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.311050Z","title":"Neural geometric fabrics: Efficiently learning high-dimensional policies from demonstration,","venue":null,"work_id":"42599ee2-e903-494f-9536-6381ea948f48","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.149555Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:566c8f65276d937b530a80d13b3661d44ca0a4ffdeceb3517f85bc03fdb9ceba","observation_id":"6d04f9ad-d86a-4a6b-96ff-5031e8ef53e8","resolution":{"observed_at":"2026-08-15T16:17:34.315442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.153425Z","title":"Learning dexterous in-hand manipulation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.153425Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:b956060247e67f5de8ad7db61dc39eb084b1012c775323d08c7ab511d25b4458","observation_id":"ad237aba-87a1-4625-9e95-1c235b8ca695","resolution":{"observed_at":"2026-08-15T16:17:33.153425Z","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":"2026-08-15T16:17:34.298234Z","title":"Dextreme: Transfer of agile in-hand manipulation from simulation to reality,","venue":null,"work_id":"bedf2b70-7636-4d58-aadb-39a9fcece5ce","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.157305Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:eafce7e149ea1b27048ce0831d8d3d1c538c5e643fff50e3a648f88f307d7687","observation_id":"7d014f24-6607-4c32-9ec8-52bdcc7ec921","resolution":{"observed_at":"2026-08-15T16:17:34.302222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.285167Z","title":"Relaxed-rigidity constraints: Kinematic trajectory optimization and collision avoidance for in-grasp manipulation,","venue":null,"work_id":"9fefc078-5e4e-46cd-a3b2-eeff59746040","year":2019},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.161182Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:8aac5316d5b6e0647c6d53d1a3467ce1113e024801467a9408fe357355e48895","observation_id":"1dcb9fdd-cfed-4ab5-ad1b-fe67894e8e11","resolution":{"observed_at":"2026-08-15T16:17:34.290266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.273278Z","title":"Geometric in-hand regrasp planning: Alternating optimization of finger gaits and in-grasp manipulation,","venue":null,"work_id":"8e1d5314-12e5-41a1-9a34-adf6a095841f","year":2018},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.166893Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:58dc09f8d06589b49b844b2515b2dcf7ba558aec0a0d95ca4088ca45064ef741","observation_id":"3e73359d-2df1-4f65-93dd-58b08e61a51a","resolution":{"observed_at":"2026-08-15T16:17:34.277323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.261006Z","title":"Dexter- ous manipulation with deep reinforcement learning: Efficient, general, and low-cost,","venue":null,"work_id":"e5d1bb4d-e823-47d3-af21-57d9b7c3d8ff","year":2019},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.171380Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:7ae85a989a3b72a0a43ab12eff38c0c25a408bf71e51e112bff01e6573361d7a","observation_id":"b85679cc-aedd-47c1-a897-3ddea00f3d8c","resolution":{"observed_at":"2026-08-15T16:17:34.265496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.247860Z","title":"Robopianist: Dexterous piano playing with deep reinforcement learning,","venue":null,"work_id":"9a080f40-9a84-490a-b955-8c47817b9630","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.175095Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:4b75b4afac1bd41377f1c74f4a8cce984bfb89079737a850d6812c759915a580","observation_id":"b77a0fba-46cb-4e0b-a053-00d6b0bf4e7c","resolution":{"observed_at":"2026-08-15T16:17:34.251933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.178803Z","title":"Dex1b: Learning with 1b demonstrations for dexterous manipulation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.178803Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:d2795eb58902ca6735239e83c7349e24d8a8828cdf1d856d1a45af19455e0a90","observation_id":"b4d1f82a-3592-4762-b799-29cccba53be7","resolution":{"observed_at":"2026-08-15T16:17:33.178803Z","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":"2026-08-15T16:17:34.226617Z","title":"Ugg: Unified generative grasping,","venue":null,"work_id":"472574c6-937b-448b-b35b-6864d9cd1c35","year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.182676Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:24ddeae3e0202e07dc4c5ab89337ff9b07ed44227c1e16f40e135e8e4ddd43ab","observation_id":"26b28c89-8210-4434-9703-dc6dfa2c1014","resolution":{"observed_at":"2026-08-15T16:17:34.230751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.212840Z","title":"Unigrasp: Learning a unified model to grasp with multifingered robotic hands,","venue":null,"work_id":"b298da2c-f11b-41a9-913e-34d291e29a12","year":2020},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.187572Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:d90bea3fcb4d62c4b770e49d72ab1c7a1e6b4888a4efacf518a3e11305ac305b","observation_id":"ca0c3098-0314-44a9-b0ce-8fcf00bd5540","resolution":{"observed_at":"2026-08-15T16:17:34.217484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.199487Z","title":"Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes,","venue":null,"work_id":"e8bc7bda-9893-476a-a1a0-d0f88b88c750","year":2021},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.191681Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:4f0f87e321d81f8b8b89c606bafc6ae51c3a4bdd1b81edad6892fd1f212e8c54","observation_id":"de6468ad-918a-47d4-9cc6-bb8e3b411a4d","resolution":{"observed_at":"2026-08-15T16:17:34.203670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.184010Z","title":"Ffhnet: Generating multi-fingered robotic grasps for unknown objects in real-time,","venue":null,"work_id":"f545a64f-0f82-4482-8202-44f6cd4a340d","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.196990Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:40210449c8f89c086824b5f3e30b2030d705cd59c8d49c50bb91e3537ba0958b","observation_id":"515d5684-fef5-4ac2-8b59-c1612856dca4","resolution":{"observed_at":"2026-08-15T16:17:34.188019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.171304Z","title":"Dexdiffuser: Generating dexterous grasps with diffusion models,","venue":null,"work_id":"84f01767-852b-42a6-bd45-b685e5628c02","year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.201418Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:536c915054e95678333c229afdecfb340c0118d6d01ebc9c0d65d99c8b15fca5","observation_id":"ec967d9f-8a9f-4899-a98a-7c8bd95fbe68","resolution":{"observed_at":"2026-08-15T16:17:34.176151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.158836Z","title":"Get a grip: Multi-finger grasp evaluation at scale enables robust sim-to-real transfer,","venue":null,"work_id":"5a32a687-990a-4646-8792-4cee66e7eb13","year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.206104Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:91285896bc5ebb1ee21e50e96c65790c79760b8a3e1e83ad48100f2e53325ccf","observation_id":"254ca9f9-e291-4d27-9ce1-5017a2e65c36","resolution":{"observed_at":"2026-08-15T16:17:34.163028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.144520Z","title":"DextrAH-g: Pixels-to- action dexterous arm-hand grasping with geometric fabrics,","venue":null,"work_id":"363c1c70-d3da-4851-b796-eb6c68c15bfc","year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.210007Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:04e1feeb8bb5063afe0bedc3d254152c4e0899abadf38d352e466bd249dc2df2","observation_id":"97427bce-708f-4824-9036-c235aae56446","resolution":{"observed_at":"2026-08-15T16:17:34.149763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.129606Z","title":"Grasp’d: Differentiable contact-rich grasp synthesis for multi-fingered hands,","venue":null,"work_id":"6c2806cb-5155-4aa2-8585-d9fc4b6eecbd","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.213867Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:a86a95cf86319673bfcbf3bc2aa09237e6fc38ed3fd6ca042bc30244d050d5c0","observation_id":"98afada8-ee07-4034-9d79-d3a69c51751c","resolution":{"observed_at":"2026-08-15T16:17:34.134319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.116122Z","title":"Fast-grasp’d: Dexterous multi-finger grasp generation through differentiable simulation,","venue":null,"work_id":"92b59419-dfaa-4010-a3b7-97f956c9d65b","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.217513Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:e1159986f1c2f8eb6e53deedf8391aa409b0977889a6accac66d799c8b7eacfb","observation_id":"6c9eea80-20a7-4595-857d-97f32188dbfb","resolution":{"observed_at":"2026-08-15T16:17:34.120539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.101601Z","title":"Dexgraspnet: A large-scale robotic dexterous grasp dataset for general objects based on simulation,","venue":null,"work_id":"08b9bfd8-398b-44a1-82b7-d03849343dc7","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.220768Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:8287143ee595fabea0cf66af01a27769cc26e73f9280eb4b716da507a83d586f","observation_id":"d0d6a8b3-f48c-4f4b-ab23-3d78c5cceac6","resolution":{"observed_at":"2026-08-15T16:17:34.107125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.15607/rss.2020.xvi.066","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:17:33.413943Z","title":"Deep differentiable grasp planner for high-dof grippers,","venue":null,"work_id":"3e988c9d-a0f2-454d-b394-e7c8117642b5","year":2020},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.224221Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:8701890228259021d4aff3b3a2cc9ba4ed82027e412a1cf29299d304b6a1a0b6","observation_id":"294ac76f-f27d-4e04-948d-226731928043","resolution":{"observed_at":"2026-08-15T16:17:33.419724Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.087311Z","title":"Curobo: Parallelized collision-free robot motion gen- eration,","venue":null,"work_id":"4eb846d3-973f-43af-8d3d-ffa8e611481b","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.228493Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:4b3d177f3e4bf9689cc8822c8514d2933e6a98e2e13cae95443577afaa5c553f","observation_id":"96e592c6-6362-4217-8ead-2569029d1c0c","resolution":{"observed_at":"2026-08-15T16:17:34.092221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.17274","last_updated":"2023-11-03T17:49:03Z","snapshot_observed_at":"2026-08-16T14:48:41.184101Z","submitted_at":"2023-10-26T09:50:40Z","title":"cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.17274","snapshot_observed_at":"2026-08-15T16:17:33.232671Z","title":"curobo: Parallelized collision-free minimum-jerk robot motion generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.232671Z"},"links":{"cited_paper":"/paper/2310.17274","citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:30b11bf3209dab5028f4c207e4214382ea52c17b98c5a9f7c149407b47fd9817","observation_id":"5b734f60-6f94-44dc-91b6-9c7490efc6ca","resolution":{"observed_at":"2026-08-15T16:17:33.232671Z","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":"2026-08-15T16:17:34.072417Z","title":"Geometric fabrics: Generalizing classical mechanics to capture the physics of behavior,","venue":null,"work_id":"331a6548-92b3-49db-a813-597bf1afe075","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.236934Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:5d71c82dd4b71f38d8b188d843300af194cdff8e9c12dec63fbab4a402085393","observation_id":"f2345d78-415d-4886-bf7a-6e4ef539a091","resolution":{"observed_at":"2026-08-15T16:17:34.077028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19393","last_updated":"2025-05-29T07:05:44Z","snapshot_observed_at":"2026-08-17T08:28:26.237578Z","submitted_at":"2024-11-28T22:07:46Z","title":"Global Tensor Motion Planning","version":3},"cited_work":{"arxiv_id":"2411.19393","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.19393","snapshot_observed_at":"2026-08-15T16:17:33.495758Z","title":"Global Tensor Motion Planning","venue":"cs.RO","work_id":"31031794-5d33-4017-926f-ad6248c55ce0","year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.240910Z"},"links":{"cited_paper":"/paper/2411.19393","citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:1d62ff448058776710cabf3e6c7e48cef9c17f6640069becf45fd907fdee8792","observation_id":"8eea6f6b-b682-4fcc-81f2-c4c41aecfd0c","resolution":{"observed_at":"2026-08-15T16:17:33.499957Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.245513Z","title":"Gpu-enabled parallel trajectory optimization framework for safe motion planning of autonomous vehicles,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.245513Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:45ae2c9698693cab6478b758685ad27c9996d30adcac4f48389a4a8a486b10b9","observation_id":"f94afaf9-ee56-46f0-bace-d7d0e3d030be","resolution":{"observed_at":"2026-08-15T16:17:33.245513Z","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":"2026-08-15T16:17:34.049155Z","title":"Hand posture subspaces for dexterous robotic grasping,","venue":null,"work_id":"ea744dbf-180f-4f8f-ab5a-65ef2fc91f14","year":2009},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.250053Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:5dff2c83f316ddb955ce8df54a0dfd8a9f0f48a453bfee04a8133ff42b38216b","observation_id":"7bdb2a6f-1959-4ed1-bd88-3a884b65fe60","resolution":{"observed_at":"2026-08-15T16:17:34.053941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.035076Z","title":"A probabilistic framework for uncertainty-aware high-accuracy precision grasping of unknown objects,","venue":null,"work_id":"b1192055-037d-4b5d-a50c-586288d0ad54","year":2018},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.254003Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:c76ad8142ff4036a6b4ed65a9f1b1584dc0c833179ffa110beda507e07cd2a9b","observation_id":"99858ea2-d180-48a2-8fa7-9159d6060c7f","resolution":{"observed_at":"2026-08-15T16:17:34.039590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.021141Z","title":"Synthesis and optimization of force closure grasps via sequential semidefinite programming,","venue":null,"work_id":"0d738bda-72d0-4bc2-80f2-e27598d3a643","year":2018},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.258318Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:efdf49452b182313457c0d7a1ac19c5b7145efc1a0f7c4402f4c1e42bb67e94f","observation_id":"2689404d-f337-45a0-a32d-ba6d7b79a3bf","resolution":{"observed_at":"2026-08-15T16:17:34.025872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:34.007520Z","title":"Examples of 3d grasp quality computations,","venue":null,"work_id":"7427c075-8b51-4444-b62f-45f2b814fe5d","year":1999},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.262953Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:e4079df00bad4177195d4eb05632758fb8f5fa11736a5883a4b3dab8498b6e5b","observation_id":"ce2747b9-d4bd-4700-acda-2266c4b8a227","resolution":{"observed_at":"2026-08-15T16:17:34.012759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.991999Z","title":"Computation of independent contact regions for grasping 3-d objects,","venue":null,"work_id":"adc15163-3ce4-4128-a38d-880be149b9c1","year":2009},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.267246Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:832d3696db9fbbf38a727b3e47d4187a0fc06d31d808a2f83b0c39481bd3d584","observation_id":"cb89d7a0-67b0-4f30-9d67-71f7f37157f6","resolution":{"observed_at":"2026-08-15T16:17:33.996841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.977513Z","title":"Synthesizing grasp configurations with specified contact regions,","venue":null,"work_id":"402fe7b2-ab4c-47fa-b729-e114d0ea4a70","year":2011},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.271367Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:7e8aa6099225bc7a339e5e6ded3d2af164c4a576c6ce15a0b790e3e0b0a215d4","observation_id":"ae04f872-73aa-49dc-89a5-11b8482ce30a","resolution":{"observed_at":"2026-08-15T16:17:33.982584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.962451Z","title":"Coping with the grasping uncertainties in force-closure analysis,","venue":null,"work_id":"c1a35cce-d9b1-4fd9-b9b5-00a4a54904e4","year":2005},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.275358Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:75dca6680e61a0a3ef6e7ff4f6d1e5e553d852a39ce172ad6f44a7981c695487","observation_id":"b1b92ba9-3f8f-4ccc-8d5e-050d19fa283e","resolution":{"observed_at":"2026-08-15T16:17:33.967519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.948682Z","title":"Hierarchical fingertip space: A unified framework for grasp planning and in-hand grasp adaptation,","venue":null,"work_id":"bede0084-9030-40e1-81e2-966be5c044b5","year":2016},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.280834Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:704f21326f28b8dfb4864756b4165fd9236d418a43303b06aadafb1ba89e5a3e","observation_id":"9d5143d9-7da7-4a50-b207-144035001a73","resolution":{"observed_at":"2026-08-15T16:17:33.954113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.934869Z","title":"Grasp stability prediction for a dexterous robotic hand combining depth vision and haptic bayesian exploration,","venue":null,"work_id":"de0ba40b-6876-4d5e-8ede-2ac69f2ae220","year":2021},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.284967Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:35464b52d8bff68efd8bbb4b04056f40321ee82c73d0be6a9b45e6738a93c501","observation_id":"7faf52e6-70b8-47e9-8a6c-9251aed57f9d","resolution":{"observed_at":"2026-08-15T16:17:33.939404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.922074Z","title":"Neural grasp distance fields for robot manipulation,","venue":null,"work_id":"51f4cf52-8ef1-480f-9207-d65033338828","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.289956Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:bc7a10d707efe52ba92fcd124f650f0f99bb4d5aa6a563c69c1a3a559161930d","observation_id":"33b7b98c-17af-4fca-9d38-9e814433aa84","resolution":{"observed_at":"2026-08-15T16:17:33.926149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.907897Z","title":"Real-time grasp detection using convo- lutional neural networks,","venue":null,"work_id":"04439baf-18f0-4951-b130-371260c250a8","year":2015},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.293814Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:bc0691dfd239f075cd29d59c2228faded5d1ae8fa7ab791c3fd617523c899d36","observation_id":"b49c2588-0af2-4bd0-9701-d1f169c7118d","resolution":{"observed_at":"2026-08-15T16:17:33.913189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.894946Z","title":"Real- time generative grasping with spatio-temporal sparse convolution,","venue":null,"work_id":"ab86cc0c-3769-431d-b0b0-5f4a2ed38277","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.297670Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:3b28940aed23f099df9f4578f6c6a270c4132bf53e388de3532e3b0e181d2837","observation_id":"e9f29063-bd85-47f3-8e70-6357e1b392df","resolution":{"observed_at":"2026-08-15T16:17:33.899529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.881645Z","title":"Se(3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimiza- tion through diffusion,","venue":null,"work_id":"630bc67c-8773-498e-9e70-8f12084ec2c2","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.301101Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:7ce39ee472b2f835af3c52f2ca93dee626f8b9960a926d793ce196f8e9cb81b0","observation_id":"5dfe0b91-ec30-46f1-b1d3-299a62db300c","resolution":{"observed_at":"2026-08-15T16:17:33.886329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.304652Z","title":"Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.304652Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:647471374d1b2adc8bc42f4deb41e627732c74a9715687ce33800db581f6f8f5","observation_id":"898beb6d-338b-4763-aac1-27beb67a0cce","resolution":{"observed_at":"2026-08-15T16:17:33.304652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:17:33.307901Z","title":"An affordance keypoint detection network for robot manipulation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.307901Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:aa469718d7d35411111dd7cca078f90b69a1d064bcb10f6cc8a8da1c057323dd","observation_id":"28480750-a1f4-4330-a8fb-929addf76de0","resolution":{"observed_at":"2026-08-15T16:17:33.307901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01702","last_updated":"2025-03-14T07:49:02Z","snapshot_observed_at":"2026-08-16T13:13:17.720024Z","submitted_at":"2024-10-02T16:12:18Z","title":"$\\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01702","snapshot_observed_at":"2026-08-15T16:17:33.312218Z","title":"D(r,o) grasp: A unified representation of robot and object interaction for cross-embodiment dexterous grasping,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.312218Z"},"links":{"cited_paper":"/paper/2410.01702","citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:7cba13d275d5b33b33c48b1d43719a83276f7cbddae9244f5080556f6dac9261","observation_id":"730e93ff-e460-4abc-abdf-5fba73921f3a","resolution":{"observed_at":"2026-08-15T16:17:33.312218Z","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":"2026-08-15T16:17:33.848126Z","title":"23 dof grasping policies from a raw point cloud,","venue":null,"work_id":"13adba3f-e629-4e89-9a81-08a93f3628a0","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.316590Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:800c8f4e31a810065a90c1eb5b4be28121aede6a07e4fc50e8847b2cd8b34309","observation_id":"038348d0-c7cd-4349-88ba-b80e5c87d3e4","resolution":{"observed_at":"2026-08-15T16:17:33.853767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.834908Z","title":"Multi-fingan: Gener- ative coarse-to-fine sampling of multi-finger grasps,","venue":null,"work_id":"a31f166a-7e9f-4f75-b3f7-3c53eebba10a","year":2021},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.321320Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:32a8b1b67fd0b43edefb7a8bd11f2c7c10158d80b8b51958bec68bcb3774e1c9","observation_id":"84806ffd-59dc-431f-9f55-7f59fd9c3e0e","resolution":{"observed_at":"2026-08-15T16:17:33.839358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.713722Z","title":"Dvgg: Deep variational grasp generation for dextrous manipulation,","venue":null,"work_id":"a995f558-696b-4d37-aa37-030bf81f3ddf","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.325887Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:38630d2a116d961e4d5f417781ed512e4abc6a436d24badcf6145c8d58301934","observation_id":"30698451-37f4-4165-a9d4-188c0f39d581","resolution":{"observed_at":"2026-08-15T16:17:33.825332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.698775Z","title":"Dexterous functional grasping,","venue":null,"work_id":"b89f1e39-dba6-49c3-bdeb-2718ae6e6df5","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.329559Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:80509e25321fbed7aa8e7f88c9d74a494250895a1039cf7c84aeea98bb1a444e","observation_id":"deec4d3e-753f-4169-9239-e359cf822e8d","resolution":{"observed_at":"2026-08-15T16:17:33.703693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.683981Z","title":"Dexrepnet: Learning dexterous robotic grasping network with geometric and spatial hand-object representations,","venue":null,"work_id":"335bca99-3fee-43cd-a863-4ff065eb093f","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.334090Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:0cae12cf56e4beacfd49869749c1fa7beb9ec798574c7fc0ef46403d45e46777","observation_id":"3de21a7c-49c4-4ec6-a153-074dcf80ba4a","resolution":{"observed_at":"2026-08-15T16:17:33.688505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.670079Z","title":"Dexpoint: Gener- alizable point cloud reinforcement learning for sim-to-real dexterous manipulation,","venue":null,"work_id":"2309b256-f8b8-4b7b-89a0-d1fe2ca27b85","year":2022},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.337813Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:f2c989ed535c2bd2ca51a2a9557e6daf2d4f32257273bbec07c434a31652d99b","observation_id":"b3283464-29f7-4b07-b235-38f9de93575a","resolution":{"observed_at":"2026-08-15T16:17:33.674335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.656413Z","title":"Ready, set, plan! planning to goal sets using generalized bayesian inference,","venue":null,"work_id":"af28a5de-87ef-4de1-b5bf-d3c238455c67","year":2023},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.341751Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:61f633e14618e4963bbc472e99a6859e0af0a4d148be6ebc871f0c607f0b9191","observation_id":"51405a5b-9dc1-447c-b15e-0e53ebbd51cb","resolution":{"observed_at":"2026-08-15T16:17:33.661306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.04782","last_updated":"2025-06-27T20:59:58Z","snapshot_observed_at":"2026-08-16T19:07:02.412881Z","submitted_at":"2020-11-09T21:29:46Z","title":"Planning under Uncertainty to Goal Distributions","version":3},"cited_work":{"arxiv_id":"2011.04782","doi":null,"metadata_source":"pith","pith_arxiv_id":"2011.04782","snapshot_observed_at":"2026-08-15T16:17:33.464948Z","title":"Planning under Uncertainty to Goal Distributions","venue":"cs.RO","work_id":"899ca43e-0633-475b-b05d-62cfbd5016c8","year":2020},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.346489Z"},"links":{"cited_paper":"/paper/2011.04782","citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:1ef5cbdbc4de8666c671185d222c79ad0a3abc80378a83ea2ed303fca9ebeb09","observation_id":"10c2b371-1488-48cb-b027-5c404e243d79","resolution":{"observed_at":"2026-08-15T16:17:33.470511Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.643458Z","title":"Efficient learning on point clouds with basis point sets,","venue":null,"work_id":"1432c06c-ab9c-4f78-91af-c1cbe99c6301","year":2019},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.350887Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:244b8df4bc4072d29bf2b510b34ef67548648f3e01738fa32eebb0cac883274e","observation_id":"1d04b8d5-cb92-4f60-8eb1-3fa7d5a491ce","resolution":{"observed_at":"2026-08-15T16:17:33.648084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.355277Z","title":"Visual dexterity: In-hand reorientation of novel and complex object shapes,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.355277Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:2789c752847923009d78e62f88f3d149d3327401cc211603c991655f3e86d5bc","observation_id":"4747d0b0-b359-425e-8672-2a73e3f97e88","resolution":{"observed_at":"2026-08-15T16:17:33.355277Z","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":"2026-08-15T16:17:33.613964Z","title":"Bigbird: A large-scale 3d database of object instances,","venue":null,"work_id":"ed8228fa-3533-4abc-af68-616243489d62","year":2014},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.364264Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:af4b9677b4cd42bcf95755ba921220635dcfebfa6708b52591192e939bd84601","observation_id":"61a6c89c-0190-44bb-8df8-048fb3863915","resolution":{"observed_at":"2026-08-15T16:17:33.618207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:17:33.601014Z","title":"Pick and place planning is better than pick planning then place planning,","venue":null,"work_id":"26e4be9d-8016-4399-b58b-5b1a3db8014c","year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.368309Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:6014006770e99943b4df9b43c458a32f1bb383c4dc2aba5a92372240bbb70046","observation_id":"65080897-9edd-4a8c-81ad-ef4b9c488c23","resolution":{"observed_at":"2026-08-15T16:17:33.605125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14159","last_updated":"2024-01-25T13:12:09Z","snapshot_observed_at":"2026-07-06T17:20:25.138890Z","submitted_at":"2024-01-25T13:12:09Z","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14159","snapshot_observed_at":"2026-08-15T16:17:33.372377Z","title":"Grounded sam: Assembling open- world models for diverse visual tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.372377Z"},"links":{"cited_paper":"/paper/2401.14159","citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:8fb825e958b4944b6b6872d6d630b1e7fba21a542f8cce23a1271c1726bdbdfc","observation_id":"165b0f16-6e87-4882-ac5b-052dab598724","resolution":{"observed_at":"2026-08-15T16:17:33.372377Z","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":"2026-08-15T16:17:33.588697Z","title":"Robust bayesian scene reconstruction by leveraging retrieval-augmented priors,","venue":null,"work_id":"2298f122-b162-44c7-a30c-4cae4aeed04e","year":2024},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.377643Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:bb87bc47237f65389378a6c51d9b823449b1b3ddf043b8fb03fac0706bd97848","observation_id":"081ee8b0-2610-444d-bbe1-e78da874f834","resolution":{"observed_at":"2026-08-15T16:17:33.592846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05285","last_updated":"2025-06-05T17:43:23Z","snapshot_observed_at":"2026-08-14T12:24:00.865351Z","submitted_at":"2025-06-05T17:43:23Z","title":"RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.05285","snapshot_observed_at":"2026-08-15T16:17:33.381473Z","title":"Rayst3r: Predicting novel depth maps for zero-shot object completion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.381473Z"},"links":{"cited_paper":"/paper/2506.05285","citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:34aaf68aeb76be7f4ffbade05dec2fad2ba7238ae4ca983b52149ccaa00dcb5e","observation_id":"e16bbd1e-c4b5-4406-b45b-95a20e561462","resolution":{"observed_at":"2026-08-15T16:17:33.381473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:17:33.359646Z","title":"Available: https://www.science.org/doi/abs/10.1126/ scirobotics.adc9244","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T16:17:33.359646Z"},"links":{"citing_paper":"/paper/2509.07162"},"observation_digest":"sha256:de73f166e8075437ac67973234b78b1e3e426d96c1300f40490f0a41c632e481","observation_id":"e80d235d-f091-4244-801c-48670f63baec","resolution":{"observed_at":"2026-08-15T16:17:33.359646Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.07162","last_updated":"2026-07-06T19:08:33Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-15T16:10:44.707443Z","submitted_at":"2025-09-08T19:21:42Z","title":"First Plan Then Evaluate: Multi-Target Planning with Post-Planning Success Evaluation Improves Learning-Based Grasping Pipelines"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":3,"verified_fuzzy":50},"total_outbound_references":65},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2509.07162."}