{"as_of":"2026-08-09T01:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5000f92c24a8553e109e247f9904dbab66523e63d460249244474e65fc601de3","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:08:17.010941Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T16:29:56.769376Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2501.14377","last_updated":"2026-04-10T10:10:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-24T10:24:39Z","title":"Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-23T04:53:33.503100Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2501.14377"},"observation_digest":"sha256:ac1c5201fca080d010081fc7c86781d58f61f6957494f640a2a41ac0cebfe322","observation_id":"6946913f-2507-4a7c-b321-7cc5175d31b1","resolution":{"observed_at":"2026-05-23T04:55:25.153557Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-08-07T06:08:17.010941Z","title":"arXiv preprint arXiv:2210.03370","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05997","last_updated":"2025-09-04T14:30:12Z","snapshot_observed_at":"2026-08-08T00:00:29.316020Z","submitted_at":"2025-06-06T11:35:48Z","title":"Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T06:08:17.010941Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2506.05997"},"observation_digest":"sha256:811e17f69e7ed9eb6af286a2ce329ee41e69f8fa8799b555e4130341f0cd4e1a","observation_id":"3fb86e18-1eb8-43db-9832-d547ecaacde1","resolution":{"observed_at":"2026-08-07T06:08:17.010941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-08-07T00:25:04.966781Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14233","last_updated":"2025-06-17T06:46:15Z","snapshot_observed_at":"2026-08-08T12:41:42.352203Z","submitted_at":"2025-06-17T06:46:15Z","title":"Narrate2Nav: Real-Time Visual Navigation with Implicit Language Reasoning in Human-Centric Environments","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:25:04.966781Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2506.14233"},"observation_digest":"sha256:9d7627009979218466b4e2a817c6c1ac822f491dfe0c28aadf6516e50cc15bb1","observation_id":"79f8712b-2090-4abe-96c7-b10ac9e603c1","resolution":{"observed_at":"2026-08-07T00:25:04.966781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-08-06T13:14:26.099607Z","title":"Gnm: A general navigation model to drive any robot","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.20892","last_updated":"2025-07-28T14:44:36Z","snapshot_observed_at":"2026-08-08T07:47:00.512887Z","submitted_at":"2025-07-28T14:44:36Z","title":"PixelNav: Towards Model-based Vision-Only Navigation with Topological Graphs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T13:14:26.099607Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2507.20892"},"observation_digest":"sha256:7adf207ea9b58d4e44417ffb0f55c29a06761e57d6403af84bf1adf45a51d106","observation_id":"93bb0214-a7f1-4c3f-907d-51488a49780f","resolution":{"observed_at":"2026-08-06T13:14:26.099607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-08-05T19:06:29.926483Z","title":"GNM: A General Navigation Model to Drive Any Robot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.13446","last_updated":"2026-06-08T21:52:42Z","snapshot_observed_at":"2026-08-07T21:58:57.623091Z","submitted_at":"2025-08-19T02:01:06Z","title":"CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T19:06:29.926483Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2508.13446"},"observation_digest":"sha256:83a79bbe0d51d7067f99bf3ae8090aa79c042413753afdfbac47d44bf2ff91d4","observation_id":"0f48047a-018f-44b5-afa3-a5df9193dee3","resolution":{"observed_at":"2026-08-05T19:06:29.926483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-15T13:10:42.531155Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.07578","last_updated":"2026-05-30T06:39:45Z","snapshot_observed_at":"2026-08-05T18:43:17.874266Z","submitted_at":"2026-03-08T10:32:21Z","title":"Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-15T13:10:42.531155Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2603.07578"},"observation_digest":"sha256:7205aeb7e5b0f7f8dfbaa7c3f17b994d76cf6799f997848dcf7d03c51bab8989","observation_id":"38390953-4597-4713-af93-9be7c386ff01","resolution":{"observed_at":"2026-07-15T13:10:42.531155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2604.11854","last_updated":"2026-04-13T05:05:04Z","snapshot_observed_at":"2026-07-06T23:00:08.171601Z","submitted_at":"2026-04-13T05:05:04Z","title":"MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T15:51:12.116796Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2604.11854"},"observation_digest":"sha256:8248e8593cdee205b963332c1dd0df2603ff06dcf58dba09629ac8b2b1e2ec9e","observation_id":"3918b774-e376-4067-838e-fe7b425551ed","resolution":{"observed_at":"2026-05-11T09:46:03.036980Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2605.11762","last_updated":"2026-05-12T08:33:38Z","snapshot_observed_at":"2026-08-02T09:21:48.103983Z","submitted_at":"2026-05-12T08:33:38Z","title":"NavOL: Navigation Policy with Online Imitation Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T05:51:53.848800Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2605.11762"},"observation_digest":"sha256:b6e826edc47764b61f01f87649b9b8ae954ec5e8695c7177d9110520fd60f6ed","observation_id":"c1efbf6b-b8ec-4d3b-afc5-b722e2df160f","resolution":{"observed_at":"2026-05-13T05:52:21.935799Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2605.18324","last_updated":"2026-05-18T12:42:34Z","snapshot_observed_at":"2026-07-06T23:29:14.916114Z","submitted_at":"2026-05-18T12:42:34Z","title":"Improved Baselines with Representation Autoencoders","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-20T11:40:14.358108Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2605.18324"},"observation_digest":"sha256:efb5005ef99230833a47e7dfa9a12caf2007fb3a364680e9ea3074a9f9178060","observation_id":"ff52d562-1518-47db-a244-4c78b50e0eb6","resolution":{"observed_at":"2026-05-20T11:43:15.233938Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2605.31314","last_updated":"2026-05-29T13:45:33Z","snapshot_observed_at":"2026-08-06T06:59:12.890182Z","submitted_at":"2026-05-29T13:45:33Z","title":"AR Forcing: Towards Long-Horizon Robot Navigation World Model","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-28T21:56:04.190024Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2605.31314"},"observation_digest":"sha256:72a1777fcd4731e4355f46870566460a27ac8e1eeec4a48970e2304d3c21f1cc","observation_id":"c41c103e-eb64-469e-8b4d-75219be27922","resolution":{"observed_at":"2026-07-01T19:56:10.943070Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2606.10495","last_updated":"2026-06-09T07:18:01Z","snapshot_observed_at":"2026-08-02T10:00:24.356645Z","submitted_at":"2026-06-09T07:18:01Z","title":"Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T12:52:38.764427Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2606.10495"},"observation_digest":"sha256:87c3eec10ed48facb8cf04db1e2c9e651daf7963666655c94ba114bd4a02363d","observation_id":"601864a5-cea9-465f-8847-484db3f34d8e","resolution":{"observed_at":"2026-07-03T06:07:41.712520Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2606.12603","last_updated":"2026-06-10T19:01:31Z","snapshot_observed_at":"2026-08-07T13:05:45.178504Z","submitted_at":"2026-06-10T19:01:31Z","title":"From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T09:29:43.030058Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2606.12603"},"observation_digest":"sha256:d5611c3246139fd91e237a966ef98d9e5c277f8625daf24a0fd37e1695aa902a","observation_id":"41a8b311-8913-4958-b89a-0ea8f1785bbe","resolution":{"observed_at":"2026-07-03T11:38:04.657918Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_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},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T06:30:17.719105Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2606.13494"},"observation_digest":"sha256:173984f96a238e44b38bef7af98cc0e9ff2671b02994eccf459c414d5df9b92c","observation_id":"9b770fc6-b514-4f4a-9e3d-64f8792f14b0","resolution":{"observed_at":"2026-07-03T15:28:34.024832Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":"2210.03370","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-04T16:29:56.769376Z","title":"GNM: A General Navigation Model to Drive Any Robot","venue":null,"work_id":"632c0604-2c0f-41f3-a7c8-0107d82d45cb","year":2022},"citing_paper":{"arxiv_id":"2606.24101","last_updated":"2026-06-23T03:30:20Z","snapshot_observed_at":"2026-08-02T03:37:38.259529Z","submitted_at":"2026-06-23T03:30:20Z","title":"NavWM: A Unified Navigation World Model for Foresight-Driven Planning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T00:42:30.237545Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2606.24101"},"observation_digest":"sha256:8a4f2a2df48aff67510b55beafb9ace704af9f96e7e33b554584af09bb4111ce","observation_id":"0726750a-445d-4678-97e3-ab0d0b518a3c","resolution":{"observed_at":"2026-07-04T16:29:56.770888Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-07-14T07:33:00.386358Z","title":"GNM: a general navigation model to drive any robot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11029","last_updated":"2026-07-23T08:42:52Z","snapshot_observed_at":"2026-08-02T07:09:11.597632Z","submitted_at":"2026-07-13T02:49:55Z","title":"Learning to Navigate Efficiently with Only 0.58M Trainable Parameters","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T07:33:00.386358Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2607.11029"},"observation_digest":"sha256:a86686a78cec4ce02d35efb9e8c6fbbeef4a4356d033116cd18f758da7d084ec","observation_id":"6cf8f4c2-5689-4552-b34b-2a617f956c31","resolution":{"observed_at":"2026-07-14T07:33:00.386358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-08-02T07:09:14.794966Z","title":"GNM: a general navigation model to drive any robot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.11029","last_updated":"2026-07-23T08:42:52Z","snapshot_observed_at":"2026-08-02T07:09:11.597632Z","submitted_at":"2026-07-13T02:49:55Z","title":"Learning to Navigate Efficiently with Only 0.58M Trainable Parameters","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T07:09:14.794966Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2607.11029"},"observation_digest":"sha256:a2b6b934e071f215dc02ff2c799f79b018abf0761920b931eade00706c41c13b","observation_id":"8c72f8d8-2785-4219-9a4e-44b20f1d53bd","resolution":{"observed_at":"2026-08-02T07:09:14.794966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03370","snapshot_observed_at":"2026-08-04T19:45:35.203645Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.01851","last_updated":"2026-08-03T07:58:35Z","snapshot_observed_at":"2026-08-07T23:22:57.641630Z","submitted_at":"2026-08-03T07:58:35Z","title":"Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills","version":1},"reference_index":225,"source":"pdf_text","source_observed_at":"2026-08-04T19:45:35.203645Z"},"links":{"cited_paper":"/paper/2210.03370","citing_paper":"/paper/2608.01851"},"observation_digest":"sha256:2c4b47a777ab08bc888621b7a9a26274c1294ffcab454f2ee483d7135ae6a38b","observation_id":"2444674e-4326-4001-970d-f8978616653d","resolution":{"observed_at":"2026-08-04T19:45:35.203645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.03370/citation-record","integrity":"/paper/2210.03370/integrity","json":"/paper/2210.03370/citation-record.json","paper":"/paper/2210.03370"},"outbound":[],"paper":{"arxiv_id":"2210.03370","last_updated":"2023-05-22T04:13:00Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T00:23:50.719597Z","submitted_at":"2022-10-07T07:26:41Z","title":"GNM: A General Navigation Model to Drive Any Robot"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2210.03370."}