{"as_of":"2026-08-09T14:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b571f6a24b3e87fdb3cd0bf3850dd70fccc69cbf5dac321624fe40a8d924439","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T05:43:22.549083Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"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/2602.01429/citation-record","integrity":"/paper/2602.01429/integrity","json":"/paper/2602.01429/citation-record.json","paper":"/paper/2602.01429"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T05:43:17.472254Z","title":"A Survey of Deep Learn- ing Techniques for Autonomous Driving,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:17.472254Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:70cf66188bf48353600b859bd6b4deb30d71a6a732b6d93318ca64c8481f72b9","observation_id":"246356de-c416-4b7b-9609-1f6d70e4c559","resolution":{"observed_at":"2026-08-03T05:43:17.472254Z","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":"2026-08-03T05:43:17.577362Z","title":"End-to-End Deep Learning for Autonomous Navigation of Mobile Robot,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:17.577362Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:f13fa8f6d7c71ca380b04f7cbe58470225b26fa770fd7ef5dc27d82fa5ef0b09","observation_id":"fd2628a0-6f77-4eca-9ffe-c8b520dda19c","resolution":{"observed_at":"2026-08-03T05:43:17.577362Z","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":"2026-08-03T05:43:17.746694Z","title":"Mobile Robot Navigation Based on Deep Reinforcement Learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:17.746694Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:72539d36306347c3f603bf4228e152834e610df4f48c515b15c7e65e776b7db1","observation_id":"2b734cbc-755a-456d-b27c-f53bf6182073","resolution":{"observed_at":"2026-08-03T05:43:17.746694Z","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":"2026-08-03T05:43:17.903880Z","title":"Fast Traversability Estimation for Wild Visual Navigation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:17.903880Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:3d164ffe98f2b53082b15f3836f64d6d6324aeb3ed9d3cc2e6e2a62eb294b45e","observation_id":"ee0b1548-d6a4-42be-92c0-c04eb932dada","resolution":{"observed_at":"2026-08-03T05:43:17.903880Z","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":"2026-08-03T05:43:18.068066Z","title":"End-to-end driving via conditional imitation learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.068066Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:0ca134682033a2efb9537453506b08b8ed05950aa96b5d18c8ebdfbdf6c6ccec","observation_id":"a8a647d0-bb67-43d8-bfdd-ab00d8578d47","resolution":{"observed_at":"2026-08-03T05:43:18.068066Z","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":"2026-08-03T05:43:18.187490Z","title":"Implicit behavioral cloning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.187490Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:12a5906c137ea1c9f0274e557fc2437348bfa4b232fd7a57a32e778db841e34d","observation_id":"3eba6123-f51d-4516-8b91-98b39443ce26","resolution":{"observed_at":"2026-08-03T05:43:18.187490Z","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":"2026-08-03T05:43:18.304811Z","title":"Social GAN: Socially Ac- ceptable Trajectories with Generative Adversarial Networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.304811Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:5f297ab4bffafca7c4d474c9c63fb57264419e82a47253f2871f47a0867d17b0","observation_id":"bf82fd8d-2b1e-4e40-a721-99bf97b19d9d","resolution":{"observed_at":"2026-08-03T05:43:18.304811Z","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":"2026-08-03T05:43:18.428613Z","title":"NoMaD: Goal Masked Diffu- sion Policies for Navigation and Exploration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.428613Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:664ae331bf8f1e19a351d71ace87e66ef266c2fd296bd9a94ac73402a1ce5b13","observation_id":"c5a952a3-2ec8-4611-8310-5e765e4ed937","resolution":{"observed_at":"2026-08-03T05:43:18.428613Z","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":"2026-08-03T05:43:18.555136Z","title":"VLM-Social-Nav: Socially Aware Robot Navigation Through Scoring Using Vision-Language Models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.555136Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:2f3cd4ae805af3fd043d9e09ab5c2cb79092a2672b78878cd4bb8dd153bcdf17","observation_id":"b2aad45a-3322-4d1a-8a09-b4834d188f84","resolution":{"observed_at":"2026-08-03T05:43:18.555136Z","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":"2026-08-03T05:43:18.673145Z","title":"LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.673145Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:8e636b0c4668924930dfba3ce0b8a60fc8cbc40683a86f11eb1710029236b724","observation_id":"ca914221-48e2-41d2-ae48-94a6e4476c90","resolution":{"observed_at":"2026-08-03T05:43:18.673145Z","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":"2026-08-03T05:43:18.867456Z","title":"Stanley: The robot that won the darpa grand challenge,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.867456Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:4008e70429c2dc921eda22b2cf985b8afbdc5e56c26519dff423ff6873d32399","observation_id":"3e533d7e-bf6e-400f-aa46-c0232b5ef14a","resolution":{"observed_at":"2026-08-03T05:43:18.867456Z","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":"2026-08-03T05:43:18.983389Z","title":"Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:18.983389Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:7782389c609d275667d8f960ec9d041fffb7ef689c8e8c5c05745dfe1e66e2b5","observation_id":"f005dbe8-c11f-48c8-9edf-c21ea4932eea","resolution":{"observed_at":"2026-08-03T05:43:18.983389Z","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":"2026-08-03T05:43:19.114651Z","title":"Incorporating Multi-Context Into the Traversability Map for Urban Autonomous Driving Using Deep Inverse Reinforcement Learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:19.114651Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:2aef2834fbd7289ede8a9d6bd2fc2372b389ed405a2f746c36ac4c51ad6356c0","observation_id":"34f97850-e53f-46da-b9a4-251f956ab845","resolution":{"observed_at":"2026-08-03T05:43:19.114651Z","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":"2026-08-03T05:43:19.257155Z","title":"Guaman Castro et al.,How does it feel? self-supervised costmap learning for off-road vehicle traversability, IEEE, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:19.257155Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:22c75bf8139ec27277555e13438f29feb9c654dd3f9ff1543fd10abf1aeea951","observation_id":"5685bbb7-9238-462d-87c0-c1675c7b0917","resolution":{"observed_at":"2026-08-03T05:43:19.257155Z","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":"2026-08-03T05:43:19.373385Z","title":"IN-Sight: Interactive Navigation through Sight,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:19.373385Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:36ad4c0626a28a23732da710f9ad0ff0c622987cc5e9ebce436ded254bc974e5","observation_id":"f11b6658-57ee-4123-8696-c2e7d66efa73","resolution":{"observed_at":"2026-08-03T05:43:19.373385Z","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":"2026-08-03T05:43:19.490499Z","title":"Emerging Properties in Self- Supervised Vision Transformers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:19.490499Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:9c0afc8aaf6e472e2f781f60b31616ef8fdfca66285c688c4621e2ee4546d41d","observation_id":"24b1f88d-cafe-46b9-abf2-c38ffe0fbeb0","resolution":{"observed_at":"2026-08-03T05:43:19.490499Z","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":"2026-08-03T05:43:19.620195Z","title":"Velociraptor: Leverag- ing Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:19.620195Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:d25f73f6560060943b23e8838e10b91eb04f16fb0c8c3b6480b857cb35fbd24f","observation_id":"16c88d8a-079f-4bd1-9351-0c548ad48aca","resolution":{"observed_at":"2026-08-03T05:43:19.620195Z","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":"2026-08-03T05:43:19.770426Z","title":"ViPlanner: Visual Semantic Imperative Learning for Local Navigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:19.770426Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:21da47fb4512146a4f0d78eb76466c9cfdf91d36cfcc2f7341eefe1531887978","observation_id":"ebcb0e5d-e6a9-43a4-852d-ff9bbe64b4ba","resolution":{"observed_at":"2026-08-03T05:43:19.770426Z","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":"2026-08-03T05:43:19.885882Z","title":"Trajec- tron++: Multi-Agent Generative Trajectory Forecasting With Heteroge- neous Data for Control,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:19.885882Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:53d1c2e9c1692c7313e34a8588072af6ca42d1a980c9c869adcd5216c241a807","observation_id":"b4481e69-de2b-40e7-9303-f92b2c9f174b","resolution":{"observed_at":"2026-08-03T05:43:19.885882Z","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":"2026-08-03T05:43:20.107589Z","title":"Multi-Scale V AE for Environment-Aware Long Term Trajectory Prediction,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.107589Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:a037fac4eb4008838a0220d13d50efa4049bec97eb276170f52336d3dd91a55b","observation_id":"9171f480-b554-4782-b873-b4e806ad6dc5","resolution":{"observed_at":"2026-08-03T05:43:20.107589Z","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":"2026-08-03T05:43:20.178871Z","title":"MotionDiffuser: Control- lable Multi-Agent Motion Prediction Using Diffusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.178871Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:b38df82f606e71f8ace939e85547dd08c2824ed486dc85e1f85f79118f2cafab","observation_id":"2149f4b9-90c6-40ef-bdba-8bb33da5cc24","resolution":{"observed_at":"2026-08-03T05:43:20.178871Z","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":"2026-08-03T05:43:20.338737Z","title":"Stochastic Trajectory Prediction via Mo- tion Indeterminacy Diffusion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.338737Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:1fd74590505404b25d52ae61ad28919c8d282e14c6567c569b6995eb74ae0dab","observation_id":"794f27dc-bf82-46f5-b37c-e5c6bb7679ee","resolution":{"observed_at":"2026-08-03T05:43:20.338737Z","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":"2026-08-03T05:43:20.449378Z","title":"MTG: Mapless Trajectory Gener- ator with Traversability Coverage for Outdoor Navigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.449378Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:1db136a6b1b6194cd4a8960c2757ef5a5f6d0a9105e5e8652db9b722de27deeb","observation_id":"eec933c6-f175-488f-aceb-e1e95a84989a","resolution":{"observed_at":"2026-08-03T05:43:20.449378Z","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":"2026-08-03T05:43:20.572841Z","title":"Dtg : Diffusion-based trajectory generation for mapless global navigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.572841Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:5d21967cb45d1509a9331eba3dd1bfdb854054d75b37ef657a8726782450ac66","observation_id":"c64de6f8-8cad-4f80-bee3-362c20831d67","resolution":{"observed_at":"2026-08-03T05:43:20.572841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-03T05:43:20.691678Z","title":"team,Gpt-4 technical report, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.691678Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:56f0a86ea79e0df1970423dbe4b621b2b918ede84104d7b01e95aa9faf80be1f","observation_id":"4687fa18-96bc-499e-95e7-ea9c6537e5d5","resolution":{"observed_at":"2026-08-03T05:43:20.691678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-03T05:43:20.806150Z","title":"Team,Gemini: A family of highly capable multimodal models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.806150Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:4c8cd4d73d0e68ef377c1e238fb978e8c140f2ed38be7930451a05a656289d59","observation_id":"7b944052-4f50-4005-bd84-5876118d8146","resolution":{"observed_at":"2026-08-03T05:43:20.806150Z","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":"2026-08-03T05:43:20.906382Z","title":"Hierarchical Open- V ocabulary 3D Scene Graphs for Language-Grounded Robot Nav- igation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.906382Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:6640331f93a26623d874f29cfea93dd0108a40c78b9c82570f855286e9abc8f1","observation_id":"166b0362-b9f6-4dc7-a704-6c17a51ca922","resolution":{"observed_at":"2026-08-03T05:43:20.906382Z","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":"2026-08-03T05:43:20.982490Z","title":"GOAT: Go to Any Thing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:20.982490Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:76d7c4a445e31e52a3157387a5caa9db4ad5c03cf18c5448970aeba3144e6008","observation_id":"42a5202f-0b2a-436c-9a86-f1498252e094","resolution":{"observed_at":"2026-08-03T05:43:20.982490Z","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":"2026-08-03T05:43:21.089726Z","title":"VLM-GroNav: Robot Navigation Using Physically Grounded Vision-Language Mod- els in Outdoor Environments,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:21.089726Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:7a1283aab5bff4c26d698fa032817f9791ce2a7fdb72069a3d14a7daa560d0c8","observation_id":"2fc8980d-f457-4cd5-971d-64df21c890a6","resolution":{"observed_at":"2026-08-03T05:43:21.089726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07872","last_updated":"2024-02-12T18:33:47Z","snapshot_observed_at":"2026-08-02T06:03:03.152035Z","submitted_at":"2024-02-12T18:33:47Z","title":"PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07872","snapshot_observed_at":"2026-08-03T05:43:21.189276Z","title":"Nasiriany, F","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:21.189276Z"},"links":{"cited_paper":"/paper/2402.07872","citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:ed527663aed9714f5c4315c943e7f491429337faea517bdffa8455531fd93ab4","observation_id":"3047f114-df0f-444d-9136-f0d4615c164b","resolution":{"observed_at":"2026-08-03T05:43:21.189276Z","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":"2026-08-03T05:43:21.282573Z","title":"CoNVOI: Context-Aware Navigation Using Vision Language Models in Outdoor and Indoor Environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:21.282573Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:b4472fb73d741e856e8875233c438702ba551bddb1e8791ff2bcbcb46158c379","observation_id":"33f277ee-90dd-4745-b2ed-721cf0c494db","resolution":{"observed_at":"2026-08-03T05:43:21.282573Z","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":"2026-08-03T05:43:21.503080Z","title":"Behav: Behavioral rule guided autonomy us- ing vlms for robot navigation in outdoor scenes,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:21.503080Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:ee6040040ebbe28de8b6dce7ab80cb8f49966d896128ee3af96c8c561621deb1","observation_id":"16b758bd-59fe-4cd9-9deb-ddc47fffac7d","resolution":{"observed_at":"2026-08-03T05:43:21.503080Z","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":"2026-08-03T05:43:21.751280Z","title":"Learning Transferable Visual Models From Natural Language Supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:21.751280Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:b15b0e55fa2cf543da42597e56e9549dd09c92dcaa66aedee48ed46778e6623a","observation_id":"b77a63f6-6831-48d3-b398-652bbfdea1fc","resolution":{"observed_at":"2026-08-03T05:43:21.751280Z","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":"2026-08-03T05:43:21.867248Z","title":"VL-TGS: Trajectory Generation and Selection Using Vision Language Models in Mapless Outdoor Environments,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:21.867248Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:112f0c14faf9d12b38b564f9516700c666e69f225cfb45eed842f2283115ce2e","observation_id":"6e579a2e-3357-4526-96c4-fd53f0fb4205","resolution":{"observed_at":"2026-08-03T05:43:21.867248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.04686","last_updated":"2025-07-07T06:08:21Z","snapshot_observed_at":"2026-08-08T15:24:54.779927Z","submitted_at":"2025-07-07T06:08:21Z","title":"MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.04686","snapshot_observed_at":"2026-08-03T05:43:22.017649Z","title":"Liang, K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:22.017649Z"},"links":{"cited_paper":"/paper/2507.04686","citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:0485e4dd2e32c45fba53949e67854b167c7bef33267eaf6cfb082a5d158d675e","observation_id":"9919af4d-2a56-407f-8193-aa1ff7ebce51","resolution":{"observed_at":"2026-08-03T05:43:22.017649Z","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":"2026-08-03T05:43:22.131879Z","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:22.131879Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:7d4bff48a4bdd4462310ef743d7883a01ebf83345900b8002c268749ebee910d","observation_id":"9c1c96a1-a69a-402b-a210-3d17679d47eb","resolution":{"observed_at":"2026-08-03T05:43:22.131879Z","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":"2026-08-03T05:43:22.256020Z","title":"Importance weighted autoencoders,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:22.256020Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:a66fa059465b4fdad2d4b5b7275bcebcb79145fba74a96d0f85886800e47adcb","observation_id":"15e0f58e-a116-4490-a3e8-fe0a8870c92d","resolution":{"observed_at":"2026-08-03T05:43:22.256020Z","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":"2026-08-03T05:43:22.361438Z","title":"Robot-Centric Elevation Mapping with Uncertainty Estimates,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:22.361438Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:8b2b12d349d2afc91bff16ed91fc2c2bffeca335c86d813da09e09880e858e53","observation_id":"734e9fc8-ea43-44cc-ba24-2e6a21a78bad","resolution":{"observed_at":"2026-08-03T05:43:22.361438Z","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":"2026-08-03T05:43:22.487350Z","title":"Image segmentation using text and image prompts,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:22.487350Z"},"links":{"citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:c52b61fbe9ef0d75684ea5e6f75a309a22c9f75c9faf506c8f06194fa465220d","observation_id":"158a5f20-d673-4c12-bada-ff69fc351bbd","resolution":{"observed_at":"2026-08-03T05:43:22.487350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09760","last_updated":"2024-05-16T02:08:17Z","snapshot_observed_at":"2026-07-06T18:15:03.339204Z","submitted_at":"2024-05-16T02:08:17Z","title":"Combining RL and IL using a dynamic, performance-based modulation over learning signals and its application to local planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09760","snapshot_observed_at":"2026-08-03T05:43:22.549083Z","title":"Leiva and J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:22.549083Z"},"links":{"cited_paper":"/paper/2405.09760","citing_paper":"/paper/2602.01429"},"observation_digest":"sha256:33d0654609bb9806c2473d9a7ae281bbc8560af0a7eacb44c3c872a53aac61ca","observation_id":"8cb4232b-bf5d-4e45-b960-8f5ee97c5a13","resolution":{"observed_at":"2026-08-03T05:43:22.549083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.01429","last_updated":"2026-06-03T15:50:23Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-08T15:25:23.201785Z","submitted_at":"2026-02-01T20:32:31Z","title":"Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":40,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":40},"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 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2602.01429."}