{"as_of":"2026-08-20T05:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:df048428a578867607cc7c481e5ac971fb2a709621770409aaf9c7997eeb703d","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T11:29:20.492140Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2608.07267/citation-record","integrity":"/paper/2608.07267/integrity","json":"/paper/2608.07267/citation-record.json","paper":"/paper/2608.07267"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.07818","last_updated":"2025-08-28T17:19:45Z","snapshot_observed_at":"2026-08-15T21:26:30.952106Z","submitted_at":"2025-05-12T17:59:34Z","title":"DanceGRPO: Unleashing GRPO on Visual Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.07818","snapshot_observed_at":"2026-08-10T11:29:20.439960Z","title":"Dancegrpo: Unleashing grpo on visual generation.arXiv preprint arXiv:2505.07818,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.439960Z"},"links":{"cited_paper":"/paper/2505.07818","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:86b3becf9b677dfc85cfcfd33283567d325653b4d689a9872f3d416ebb95d9f0","observation_id":"d835286b-9a63-4aad-8681-40304ec90eeb","resolution":{"observed_at":"2026-08-10T11:29:20.439960Z","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":"2026-08-10T11:29:20.444624Z","title":"Embodied navigation foundation model.arXiv preprint arXiv:2509.12129, 2025b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.444624Z"},"links":{"citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:6baf7fc5749e44fb63047dd6b48f883fa5901cf72eb4582d521546fcc6d1ec6c","observation_id":"69f81048-0bec-4271-8925-50270b9aaabc","resolution":{"observed_at":"2026-08-10T11:29:20.444624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.25497","last_updated":"2026-06-24T07:24:39Z","snapshot_observed_at":"2026-08-13T04:13:28.127699Z","submitted_at":"2026-06-24T07:24:39Z","title":"SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation","version":1},"cited_work":{"arxiv_id":"2606.25497","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.25497","snapshot_observed_at":"2026-08-10T11:29:20.681947Z","title":"SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation","venue":"cs.RO","work_id":"e16cd6a1-05ad-494f-933f-1cafe78a4b36","year":2026},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.450884Z"},"links":{"cited_paper":"/paper/2606.25497","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:967ae3abec0cf5d68408bec3144082ab64e998c12d203b4016489467a0696086","observation_id":"45cfe6fc-12f6-4e4a-98d9-02d5e011f44f","resolution":{"observed_at":"2026-08-10T11:29:20.686929Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.08992","last_updated":"2026-06-08T03:42:08Z","snapshot_observed_at":"2026-08-15T10:25:48.877959Z","submitted_at":"2026-06-08T03:42:08Z","title":"SpaceVLN: A Zero-Shot Vision-and-Language Navigation Agent with Online Spatial Cognitive Memory and Reasoning","version":1},"cited_work":{"arxiv_id":"2606.08992","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.08992","snapshot_observed_at":"2026-08-10T11:29:20.661356Z","title":"SpaceVLN: A Zero-Shot Vision-and-Language Navigation Agent with Online Spatial Cognitive Memory and Reasoning","venue":"cs.RO","work_id":"691e8504-03b9-4fb3-9fce-cd07f58ee1ec","year":2026},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.455613Z"},"links":{"cited_paper":"/paper/2606.08992","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:b2d2c8a689a23213248431fb2177ada7054907e314f3ab76a8fe1fe450352316","observation_id":"7f474646-7f24-4b48-bed4-eb8317550823","resolution":{"observed_at":"2026-08-10T11:29:20.666287Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.12486","last_updated":"2026-04-14T09:11:55Z","snapshot_observed_at":"2026-08-10T21:42:27.070072Z","submitted_at":"2026-04-14T09:11:55Z","title":"DeCoNav: Dialog enhanced Long-Horizon Collaborative Vision-Language Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.12486","snapshot_observed_at":"2026-08-10T11:29:20.459993Z","title":"Deconav: Dialog enhanced long-horizon collaborative vision-language navigation.arXiv preprint arXiv:2604.12486, 2026a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.459993Z"},"links":{"cited_paper":"/paper/2604.12486","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:6750beb8c2c4d6d49083e9690d038b39b43a16cdf8282ddfcee545c742a9492c","observation_id":"904d4cf5-bc0f-4e9b-9384-767e1c064382","resolution":{"observed_at":"2026-08-10T11:29:20.459993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.04907","last_updated":"2026-06-03T14:05:19Z","snapshot_observed_at":"2026-08-19T04:48:11.427864Z","submitted_at":"2026-06-03T14:05:19Z","title":"WAM-Nav: Asymmetric Latent World-Action Modeling for Unified Visual Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.04907","snapshot_observed_at":"2026-08-10T11:29:20.464421Z","title":"Wam-nav: Asymmetric latent world-action modeling for unified visual navigation.arXiv preprint arXiv:2606.04907,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.464421Z"},"links":{"cited_paper":"/paper/2606.04907","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:8f397692706449e4cfccf9be228aaa35f6d68e9ecbe5a38c1aa647e9d0afb81e","observation_id":"19173f81-793a-4b23-b9f1-e486bcf68f58","resolution":{"observed_at":"2026-08-10T11:29:20.464421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.13494","last_updated":"2026-06-11T15:44:36Z","snapshot_observed_at":"2026-08-08T08:21:51.127066Z","submitted_at":"2026-06-11T15:44:36Z","title":"NavWAM: A Navigation World Action Model for Goal-Conditioned Visual Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.13494","snapshot_observed_at":"2026-08-10T11:29:20.468867Z","title":"Navwam: A navigation world action model for goal-conditioned visual navigation.arXiv preprint arXiv:2606.13494,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.468867Z"},"links":{"cited_paper":"/paper/2606.13494","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:18b029cd69d43f18daa6afc4bfc3f4d94689f941285a09776dc3e296047e27dd","observation_id":"09ea4f6e-1d84-475c-859f-886d45bdf6ab","resolution":{"observed_at":"2026-08-10T11:29:20.468867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.29908","last_updated":"2026-06-29T07:43:47Z","snapshot_observed_at":"2026-08-07T16:00:26.736722Z","submitted_at":"2026-06-29T07:43:47Z","title":"Pondering the Way: Spatial-perceiving World Action Model for Embodied Navigation","version":1},"cited_work":{"arxiv_id":"2606.29908","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.29908","snapshot_observed_at":"2026-08-10T11:29:20.595397Z","title":"Pondering the Way: Spatial-perceiving World Action Model for Embodied Navigation","venue":"cs.RO","work_id":"ff683cbc-3559-4688-9618-35da3a39c54a","year":2026},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.473653Z"},"links":{"cited_paper":"/paper/2606.29908","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:970c185f0ce6dce9e54ac5ba605eb6c84be903b9c802267e4bd8225395ee2bc9","observation_id":"e0f68a8d-a372-43d8-8512-5ae3aca4de85","resolution":{"observed_at":"2026-08-10T11:29:20.600963Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.06147","last_updated":"2026-06-04T13:23:05Z","snapshot_observed_at":"2026-08-16T13:27:58.814357Z","submitted_at":"2026-06-04T13:23:05Z","title":"WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.06147","snapshot_observed_at":"2026-08-10T11:29:20.478321Z","title":"Worldfly: A world-model-based vision-language-action model for uav navigation.arXiv preprint arXiv:2606.06147,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.478321Z"},"links":{"cited_paper":"/paper/2606.06147","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:15bed15327bfc902cfaf4a3e09701a60d5a76c1556c9344c5cccc5f510e98243","observation_id":"3130e5d4-454d-45f0-addb-2217c833ef48","resolution":{"observed_at":"2026-08-10T11:29:20.478321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.30367","last_updated":"2026-06-29T14:33:03Z","snapshot_observed_at":"2026-08-06T15:33:36.109677Z","submitted_at":"2026-06-29T14:33:03Z","title":"FutureNav: Unified World-Action Modeling for Vision-and-Language Navigation","version":1},"cited_work":{"arxiv_id":"2606.30367","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.30367","snapshot_observed_at":"2026-08-10T11:29:20.557465Z","title":"FutureNav: Unified World-Action Modeling for Vision-and-Language Navigation","venue":"cs.RO","work_id":"a18e8024-3943-4e08-99c4-e38f58dd869e","year":2026},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.482782Z"},"links":{"cited_paper":"/paper/2606.30367","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:f34c7d509401b28ff6d817944c864a00d46aa21b3731c275fec445efe67c0e35","observation_id":"5ec06f43-c621-4a9b-88e0-c85cd1f80b97","resolution":{"observed_at":"2026-08-10T11:29:20.564570Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.15195","last_updated":"2026-05-14T17:59:51Z","snapshot_observed_at":"2026-08-14T11:50:52.930098Z","submitted_at":"2026-05-14T17:59:51Z","title":"VGGT-$\\Omega$","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.15195","snapshot_observed_at":"2026-08-10T11:29:20.487496Z","title":"VGGT-ω.arXiv preprint arXiv:2605.15195, 2026b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.487496Z"},"links":{"cited_paper":"/paper/2605.15195","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:c6a1116a639e3cfac44a3ca27ec8b4f94d4beac6a206dceb482d7c167e1d673f","observation_id":"9e47fa95-7b09-499b-b48d-013cdfb92e4f","resolution":{"observed_at":"2026-08-10T11:29:20.487496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.06757","last_updated":"2018-07-18T03:28:02Z","snapshot_observed_at":"2026-08-14T11:12:04.949259Z","submitted_at":"2018-07-18T03:28:02Z","title":"On Evaluation of Embodied Navigation Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.06757","snapshot_observed_at":"2026-08-10T11:29:20.492140Z","title":"On evaluation of embodied navigation agents","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":1968,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.492140Z"},"links":{"cited_paper":"/paper/1807.06757","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:179cc4a8501462244e0d2720b307f34fab1b0b1fe08efcca698e58824165b56d","observation_id":"a9216def-1ea8-477a-977d-e88fc5b77206","resolution":{"observed_at":"2026-08-10T11:29:20.492140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.03682","last_updated":"2026-06-02T14:05:47Z","snapshot_observed_at":"2026-07-06T23:43:55.632508Z","submitted_at":"2026-06-02T14:05:47Z","title":"GN0: Toward a Unified Paradigm for Generation, Evaluation, and Policy Learning in Visual-Language Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.03682","snapshot_observed_at":"2026-08-10T11:29:20.435047Z","title":"Gn0: Toward a unified paradigm for generation, evaluation, and policy learning in visual-language navigation.arXiv preprint arXiv:2606.03682,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":2011,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.435047Z"},"links":{"cited_paper":"/paper/2606.03682","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:0b6226962bd37d0420b55ea6ad0365ce3e32dba61912459208034408c7941f22","observation_id":"6057012a-5ceb-414e-acb3-3c8319cfc059","resolution":{"observed_at":"2026-08-10T11:29:20.435047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04453","last_updated":"2025-02-17T18:27:27Z","snapshot_observed_at":"2026-08-17T17:58:31.496050Z","submitted_at":"2024-12-05T18:58:17Z","title":"NaVILA: Legged Robot Vision-Language-Action Model for Navigation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04453","snapshot_observed_at":"2026-08-10T11:29:20.418365Z","title":"Uni-navid: A video-based vision-language-action model for unifying embodied navigation tasks.Robotics: Science and Systems, 2025a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.418365Z"},"links":{"cited_paper":"/paper/2412.04453","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:a104bdbfd6207b2377740de6e8675614ef28124e41de455d7250d797695997dd","observation_id":"73f86b6f-c688-413c-996f-c89124c25906","resolution":{"observed_at":"2026-08-10T11:29:20.418365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.15922","last_updated":"2026-02-17T15:04:02Z","snapshot_observed_at":"2026-08-09T12:54:21.149243Z","submitted_at":"2026-02-17T15:04:02Z","title":"World Action Models are Zero-shot Policies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.15922","snapshot_observed_at":"2026-08-10T11:29:20.423928Z","title":"World action models are zero-shot policies.arXiv preprint arXiv:2602.15922,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.423928Z"},"links":{"cited_paper":"/paper/2602.15922","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:1cd72f2aee90806af98a316b3faa917fbdf3ff48d92303e2a53c929608afe0ff","observation_id":"b079e002-d3ff-4b3f-a157-ab0ecea8ad33","resolution":{"observed_at":"2026-08-10T11:29:20.423928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.15964","last_updated":"2026-05-15T13:55:39Z","snapshot_observed_at":"2026-07-06T23:27:11.118592Z","submitted_at":"2026-05-15T13:55:39Z","title":"WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.15964","snapshot_observed_at":"2026-08-10T11:29:20.429942Z","title":"Worldvln: Autoregressive world action model for aerial vision-language navigation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-10T11:29:20.429942Z"},"links":{"cited_paper":"/paper/2605.15964","citing_paper":"/paper/2608.07267"},"observation_digest":"sha256:93c9a1b5c033a98e41a0620266e058dbb8d740fd934b3844e5c9088bc9d12fff","observation_id":"2a879b04-158e-4efc-9362-01f7fe3d413c","resolution":{"observed_at":"2026-08-10T11:29:20.429942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.07267","last_updated":"2026-08-07T14:29:00Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T04:47:45.174292Z","submitted_at":"2026-08-07T14:29:00Z","title":"WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":16},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.07267."}