{"as_of":"2026-08-09T13:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:72ad1801990e562f67639651df7aecdca8515ee4c39ccab1d1050f9af513371c","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T03:42:47.878332Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2607.13799/citation-record","integrity":"/paper/2607.13799/integrity","json":"/paper/2607.13799/citation-record.json","paper":"/paper/2607.13799"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T03:42:45.924826Z","title":"Machine learning in agriculture domain: A state-of-art survey.Artificial Intelligence in the Life Sciences, 1:100010, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:45.924826Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:01067c60849b3b8379ac8782b6360581fe4edc537d032a85f2b4fa7a028cc8d4","observation_id":"bd3210c5-9f28-44e6-a18f-3e5e07d076ff","resolution":{"observed_at":"2026-08-02T03:42:45.924826Z","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":"2026-08-02T03:42:46.002136Z","title":"Fruit localization and environment perception for strawberry harvest- ing robots.IEEE access, 7:147642–147652, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.002136Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:2fcfaf03d770915f4ce415be06c49be3ef0aacc8cd032f059201749bd88a4287","observation_id":"05ba3046-cc82-4ebe-8e09-ca0400efa109","resolution":{"observed_at":"2026-08-02T03:42:46.002136Z","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":"2026-08-02T03:42:46.087631Z","title":"Peduncle collision-free grasping based on deep reinforcement learning for tomato harvesting robot.Computers and Electronics in Agriculture, 216:108488, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.087631Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:439ca66f45a93e68b046f1e77727a8cb93ac3a70af03b084273ef3e3aaf33018","observation_id":"9abeea44-b455-4335-a2e9-50ed6f2413ab","resolution":{"observed_at":"2026-08-02T03:42:46.087631Z","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":"2026-08-02T03:42:46.146484Z","title":"Reaching pruning locations in a vine using a deep rein- forcement learning policy","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.146484Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:51faefea2ea15bb981013e972040ddf484c7e7f6d47cf4f0ecf2430e2fdb50e0","observation_id":"6cd51327-b127-4787-9556-c0894a5bed94","resolution":{"observed_at":"2026-08-02T03:42:46.146484Z","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":"2026-08-02T03:42:46.248427Z","title":"An improved obsta- cle separation method using deep learning for object detection and tracking in a hybrid visual control loop for fruit picking in clusters","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.248427Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:6819fae08c8e19f79ab5eba0551af68adb18e6ae2c3acf19c77eee53d34c06e6","observation_id":"3307035d-275b-4e12-9556-1d44028e506f","resolution":{"observed_at":"2026-08-02T03:42:46.248427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08458","last_updated":"2025-05-13T11:40:21Z","snapshot_observed_at":"2026-08-07T15:45:47.276278Z","submitted_at":"2025-05-13T11:40:21Z","title":"Zero-Shot Sim-to-Real Reinforcement Learning for Fruit Harvesting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.08458","snapshot_observed_at":"2026-08-02T03:42:46.322098Z","title":"Zero-shot sim-to- real reinforcement learning for fruit harvesting.arXiv preprint arXiv:2505.08458, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.322098Z"},"links":{"cited_paper":"/paper/2505.08458","citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:f60fa7ac7c8183ba4c9279a6f183df0eb92b33c88d015f1d7923c564571ee32c","observation_id":"23272e98-c810-44c8-bb8b-252f37d7a97c","resolution":{"observed_at":"2026-08-02T03:42:46.322098Z","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":"2026-08-02T03:42:46.397563Z","title":"Efficient learning of goal-oriented push-grasping synergy in clutter","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.397563Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:e5c2d5d0c05b3f5496685c0d7c2fc598187ad954afb9d486a5508ff54f7491a9","observation_id":"642c3715-2433-4d80-992c-3b48234274de","resolution":{"observed_at":"2026-08-02T03:42:46.397563Z","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":"2026-08-02T03:42:46.477329Z","title":"Learning bifunctional push-grasping synergistic strategy for goal- agnostic and goal-oriented tasks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.477329Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:4f9a0bf8930906df4af39460f6e84a2ad845e74b79f7f170390cae2fe0008716","observation_id":"4bcfb6c9-4fe9-422b-b075-41d344ba8ad5","resolution":{"observed_at":"2026-08-02T03:42:46.477329Z","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":"2026-08-02T03:42:46.540366Z","title":"Learning extrinsic dexterity with parameterized manipu- lation primitives","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.540366Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:8e593d398a437f04c617c04f9a525b34c906ff47c1099279ac82d2478ae790c0","observation_id":"25998348-c15f-4f40-88d9-aa4ddf6978fc","resolution":{"observed_at":"2026-08-02T03:42:46.540366Z","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":"2026-08-02T03:42:46.618876Z","title":"Between mdps and semi-mdps: A framework for temporal abstraction in reinforce- ment learning.Artificial intelligence, 112(1-2):181–211, 1999","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.618876Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:664eb47b58ea306e21986bfb7a74cb50d4798b6ce9a7e0486bc686e1aa31bc3e","observation_id":"b11ba11f-71dc-4c72-978c-5e437109204f","resolution":{"observed_at":"2026-08-02T03:42:46.618876Z","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":"2026-08-02T03:42:46.696923Z","title":"The option-critic architecture","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.696923Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:07d3f16e651914a1d6ebaba42dd83ac6ca46904349aa3601fe2b96842fded446","observation_id":"1a13e80f-6fcb-4ad6-8eb8-1c986c5e1daf","resolution":{"observed_at":"2026-08-02T03:42:46.696923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06521","last_updated":"2022-08-08T18:23:42Z","snapshot_observed_at":"2026-07-06T10:33:07.350079Z","submitted_at":"2021-01-16T20:54:31Z","title":"Hierarchical Reinforcement Learning By Discovering Intrinsic Options","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06521","snapshot_observed_at":"2026-08-02T03:42:46.776790Z","title":"Hierarchical reinforce- ment learning by discovering intrinsic options.arXiv preprint arXiv:2101.06521, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.776790Z"},"links":{"cited_paper":"/paper/2101.06521","citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:e740d678c91a1da0eaf9adbea5fa8630ae003b6519817e226d47f25365c11c19","observation_id":"c8084619-d283-4540-9d6a-b8687a025dd7","resolution":{"observed_at":"2026-08-02T03:42:46.776790Z","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":"2026-08-02T03:42:46.906176Z","title":"Hierarchical reinforcement learning with universal policies for multistep robotic manipulation.IEEE Transac- tions on Neural Networks and Learning Systems, 33(9):4727–4741, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:46.906176Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:0defa31f6c76aa54845eabdc3a114211d4adfc701fa8aec3daba5170d8f16241","observation_id":"4927869a-7a8e-433b-bee4-0dad88c9d09a","resolution":{"observed_at":"2026-08-02T03:42:46.906176Z","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":"2026-08-02T03:42:47.022901Z","title":"Hierarchical visual policy learning for long-horizon robot manipulation in densely cluttered scenes","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.022901Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:9a70f7786cbd70e79996c5bc1c70890c46ea802663eea36c21ff228b3bbdc9ea","observation_id":"bac3e671-e83d-4ae6-b827-214b5e9e1f18","resolution":{"observed_at":"2026-08-02T03:42:47.022901Z","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":"2026-08-02T03:42:47.120483Z","title":"Impedance primitive-augmented hierarchical reinforcement learning for sequential tasks","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.120483Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:49040144e987f5dd5243b0ef9767cbdb91a1c3e4d26b0fbc44704caadd990b1a","observation_id":"1cae0e0d-462d-4ba2-8535-f60d2b1a308c","resolution":{"observed_at":"2026-08-02T03:42:47.120483Z","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":"2026-08-02T03:42:47.167775Z","title":"Context- aware grasp generation in cluttered scenes","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.167775Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:3b3247f4dfefa87b95f3be5b99e2057406f02ee99c35475c684535be78133504","observation_id":"241a6faf-ac76-4df2-8c9e-5fabde7e0110","resolution":{"observed_at":"2026-08-02T03:42:47.167775Z","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":"2026-08-02T03:42:47.258588Z","title":"Learning to grasp the ungraspable with emergent extrinsic dexterity","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.258588Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:331e84969ac7e98685206762ad159d87e2659fea62bd8d78cf42cfd014e41800","observation_id":"b71a8dc1-1cb6-476f-a853-3a8ababa0650","resolution":{"observed_at":"2026-08-02T03:42:47.258588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.02971","last_updated":"2019-07-05T10:47:27Z","snapshot_observed_at":"2026-07-06T04:29:24.362640Z","submitted_at":"2015-09-09T23:01:36Z","title":"Continuous control with deep reinforcement learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.02971","snapshot_observed_at":"2026-08-02T03:42:47.319196Z","title":"Continuous control with deep reinforcement learning.arXiv preprint arXiv:1509.02971, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.319196Z"},"links":{"cited_paper":"/paper/1509.02971","citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:6cdde93de25a387d704c1794597024abdeef731f1751235107b9e988ddf65dc6","observation_id":"ddf69026-95b9-4c70-b849-fdf78f2b7792","resolution":{"observed_at":"2026-08-02T03:42:47.319196Z","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":"2026-08-02T03:42:47.454865Z","title":"Light- resilient visual regression of strawberry ripeness for robotic harvesting","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.454865Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:66fd24549610735034d4d384e239b30ee15744da30214ea8623014054509daa5","observation_id":"138669d9-6516-4652-b2c3-068551805056","resolution":{"observed_at":"2026-08-02T03:42:47.454865Z","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":"2026-08-02T03:42:47.584716Z","title":"Pybullet quickstart guide.ed: PyBullet Quickstart Guide","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.584716Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:42f404f3205d21fd1b43be84cea228bfb7c88ed25bf2657d1c649670edd441fb","observation_id":"81852c4f-ac4c-432d-bb7c-12f9d9853462","resolution":{"observed_at":"2026-08-02T03:42:47.584716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.00948","last_updated":"2019-09-03T21:05:21Z","snapshot_observed_at":"2026-08-06T00:36:08.175723Z","submitted_at":"2017-12-04T08:18:08Z","title":"Learning Multi-Level Hierarchies with Hindsight","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.00948","snapshot_observed_at":"2026-08-02T03:42:47.680209Z","title":"Learning multi-level hierarchies with hindsight.arXiv preprint arXiv:1712.00948, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.680209Z"},"links":{"cited_paper":"/paper/1712.00948","citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:8db5794863948fa94f7034508fee26ea78d98bbc68307e4f95e0971428eefa17","observation_id":"99c8ec5e-840c-437a-9ce2-1e0ccfab4028","resolution":{"observed_at":"2026-08-02T03:42:47.680209Z","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":"2026-08-02T03:42:47.779508Z","title":"Design and control of a novel six-degree-of-freedom hybrid robotic arm","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.779508Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:e569ece1177177be9b9afc584e8dbf196daa4863ec169f7022cb10aef4005057","observation_id":"8c49ffa4-082b-4c24-9948-9efa6a30bc55","resolution":{"observed_at":"2026-08-02T03:42:47.779508Z","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":"2026-08-02T03:42:47.878332Z","title":"Active obstacle separation: Vision-language model (vlm) driven clearing decisions for robotic harvesting.Smart Agricultural Technology, page 102037, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T03:42:47.878332Z"},"links":{"citing_paper":"/paper/2607.13799"},"observation_digest":"sha256:c4f2c820934a76193397a52ea2afb34e2f899e6ae5cbe169ed28b8a013280ddc","observation_id":"690132c9-125f-4122-8f19-1d3fcdd08c50","resolution":{"observed_at":"2026-08-02T03:42:47.878332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.13799","last_updated":"2026-07-15T13:07:25Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T09:30:39.356505Z","submitted_at":"2026-07-15T13:07:25Z","title":"Vision-Based Obstacle Separation for Strawberry Harvesting in Clusters Using Hierarchical Reinforcement Learning"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":23},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.13799."}