{"as_of":"2026-08-07T19:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:67f119cce6093ec1b6bbaa3e97705b9cd1b1ceeb4ab89907605895c1e0bdf4a2","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T00:33:34.529158Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.14997/citation-record","integrity":"/paper/2607.14997/integrity","json":"/paper/2607.14997/citation-record.json","paper":"/paper/2607.14997"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T00:33:32.037547Z","title":"Hafner, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.037547Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:254afff6e4913634dc34ef81964ab2a5657b4e06272f7406f8a20fed9f882af3","observation_id":"c0bd9438-1b2a-40a2-b157-7d467159b50d","resolution":{"observed_at":"2026-08-02T00:33:32.037547Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-02T00:33:32.084447Z","title":"Zhang, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.084447Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:77eab3a5ee6b4ac963d754d9a2d6edfc0deb4ac217112a8c7386e7b787cee68c","observation_id":"101dbeb9-ea9d-4bb8-8d8c-fe44684b2693","resolution":{"observed_at":"2026-08-02T00:33:32.084447Z","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":"2026-08-02T00:33:32.203982Z","title":"Bruce, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.203982Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:5924f00aa02fb99cfe3d95d910b2a9bf89b4be03e64fa6d48ad6dda92c0af99f","observation_id":"db0cf809-454a-4de1-91c4-16b6027983f9","resolution":{"observed_at":"2026-08-02T00:33:32.203982Z","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":"2026-08-02T00:33:32.278930Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.278930Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:2a0db15722b6be48d2325f52294c1fdda7d1c3d8510ffe6d1e2a10f06a66b6fb","observation_id":"6145f6f7-dc2f-4247-8433-646486bcd7ad","resolution":{"observed_at":"2026-08-02T00:33:32.278930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14377","snapshot_observed_at":"2026-08-02T00:33:32.336677Z","title":"Romero, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.336677Z"},"links":{"cited_paper":"/paper/2501.14377","citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:813328ac690ccf1979c60f135e82a82b4965432263edcc9fb87496daec4cdf4d","observation_id":"4ceaa06f-c1a4-4cfd-93dd-f0f5c588efce","resolution":{"observed_at":"2026-08-02T00:33:32.336677Z","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":"2026-08-02T00:33:32.380520Z","title":"Zhang, B","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.380520Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:e300a70f03368472a7fcf1e6b87dec8a406c7400d6f671ed01199b77b165f635","observation_id":"a7e2aa2c-497e-4ac6-be6a-79d67f1e5b77","resolution":{"observed_at":"2026-08-02T00:33:32.380520Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.04534","last_updated":"2026-06-03T07:17:57Z","snapshot_observed_at":"2026-08-03T10:02:41.787077Z","submitted_at":"2026-06-03T07:17:57Z","title":"MAD: Mapping-Aware World Models for Agile Quadrotor Flight","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.04534","snapshot_observed_at":"2026-08-02T00:33:32.457485Z","title":"Zhang, R","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.457485Z"},"links":{"cited_paper":"/paper/2606.04534","citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:2b85d174f85e8f0b02ce9cfe740643935467c9e2adc2ed7c7e77d3fb69556a81","observation_id":"aa82ffc7-98cf-4d06-8e8a-681f9c0eaecf","resolution":{"observed_at":"2026-08-02T00:33:32.457485Z","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":"2026-08-02T00:33:32.535524Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.535524Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:a50ed761fad649fb6787c0a483ad5e1be9796fc2c5062eb813680de3e9149078","observation_id":"d57cac8e-3ccb-4666-ad66-d16e451f8996","resolution":{"observed_at":"2026-08-02T00:33:32.535524Z","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":"2026-08-02T00:33:32.583721Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.583721Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:dbc1034b24896b2fb377f12d7ac983c79b326e463b8c681e9722b48b56f82353","observation_id":"e882cfe8-0f83-4424-a246-e08767a3685e","resolution":{"observed_at":"2026-08-02T00:33:32.583721Z","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":"2026-08-02T00:33:32.654219Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.654219Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:214d36ab3db9c06663e47ca3c58a2cc53cbd6e3c557fb010b154a5a0af27cc20","observation_id":"376d6fd1-2a44-483f-b20e-7eee3276017c","resolution":{"observed_at":"2026-08-02T00:33:32.654219Z","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":"2026-08-02T00:33:32.697842Z","title":"Zhang, R","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.697842Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:fbfd3906edc88404dd6644671b88972826e8247ca52b710d2c1a552d2dabbf26","observation_id":"2eaa9b3b-add4-443b-8ae3-b9165c99147e","resolution":{"observed_at":"2026-08-02T00:33:32.697842Z","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":"2026-08-02T00:33:32.777697Z","title":"Kerbl, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.777697Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:df015ef0c268cefbadb29111a42ba224de2025abcfb197afd5005d8db2b37336","observation_id":"a3690483-a631-44b1-bcfd-5a6d4dbbb495","resolution":{"observed_at":"2026-08-02T00:33:32.777697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21981","last_updated":"2025-07-29T16:33:32Z","snapshot_observed_at":"2026-08-06T13:13:32.471875Z","submitted_at":"2025-07-29T16:33:32Z","title":"DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.21981","snapshot_observed_at":"2026-08-02T00:33:32.853146Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.853146Z"},"links":{"cited_paper":"/paper/2507.21981","citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:bea53aee0e38cd08f698f1e358e703855c6f3cf474025b5893bbd655ef7e5b3e","observation_id":"8858aef1-0e62-40cd-898b-b309089b84a2","resolution":{"observed_at":"2026-08-02T00:33:32.853146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.25459","last_updated":"2026-08-04T10:54:55Z","snapshot_observed_at":"2026-08-07T19:12:57.149921Z","submitted_at":"2026-04-28T10:05:39Z","title":"GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.25459","snapshot_observed_at":"2026-08-02T00:33:32.925079Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:32.925079Z"},"links":{"cited_paper":"/paper/2604.25459","citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:720bca4633f7713ef2db67441fb1531db7479470bb925a950daee62848982ac9","observation_id":"8febf7be-829d-42b6-aa6c-b095c5272bee","resolution":{"observed_at":"2026-08-02T00:33:32.925079Z","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":"2026-08-02T00:33:33.014908Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.014908Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:efbd8486645e320db5a936df0c948fb82adea563386e4e6fc9c075af878a5f64","observation_id":"56c095f6-33d8-4653-834e-680a24af0f75","resolution":{"observed_at":"2026-08-02T00:33:33.014908Z","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":"2026-08-02T00:33:33.074371Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.074371Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:a5601b8a2155219854a011b53018ec9ec65c07a603abd99fde7dd3e776ed7445","observation_id":"c466c21b-9b23-4d82-ae3a-3aee73c3a666","resolution":{"observed_at":"2026-08-02T00:33:33.074371Z","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":"2026-08-02T00:33:33.262883Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.262883Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:5761e6746dbfaa3dd6d69d2cc5b970b797bc0b7bc451ccfc8b3d88e6f71a56e5","observation_id":"cbcf66c5-2ab9-461e-a89e-3ce1119f1708","resolution":{"observed_at":"2026-08-02T00:33:33.262883Z","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":"2026-08-02T00:33:33.332425Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.332425Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:0594bbcda888b4537f9a931143c96f4380e73ce5fd132db82fef26fc81cf5fc1","observation_id":"859c7b71-a886-4e28-bcb8-051100eb880b","resolution":{"observed_at":"2026-08-02T00:33:33.332425Z","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":"2026-08-02T00:33:33.409804Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.409804Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:625dc7f23023a8bfc1aa4919eca827900596ed4732b5a288eb216c8fa4b4100e","observation_id":"b7903666-de7b-4436-8857-fdf9846e8a3d","resolution":{"observed_at":"2026-08-02T00:33:33.409804Z","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":"2026-08-02T00:33:33.482160Z","title":"Zheng, Y","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.482160Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:ed8d7abc7ae1ff0ffdf61950bcaa2afd8c787464c198661dee91eab6c7c29450","observation_id":"44230501-bb80-40e5-a426-b78480da58fb","resolution":{"observed_at":"2026-08-02T00:33:33.482160Z","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":"2026-08-02T00:33:33.567712Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.567712Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:d5dacebfc8ec3f5e75238ba7ec78dddbc45339be6cc9b5ec10219754076a3424","observation_id":"e4b20702-472a-4819-859d-c48bc6b7fb99","resolution":{"observed_at":"2026-08-02T00:33:33.567712Z","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":"2026-08-02T00:33:33.644501Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.644501Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:d80ecef1e4812f7037f81385d35337b8ff262435db058d43bcdd2421dbf42080","observation_id":"6f820f20-81c0-440b-a3a2-22abd3391744","resolution":{"observed_at":"2026-08-02T00:33:33.644501Z","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":"2026-08-02T00:33:33.711893Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.711893Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:6c03aae023a075c441bb141a51a563867bd2d5ddbb3829a5f51162f8c2db9770","observation_id":"3013817e-966f-459d-b9ed-461629fd4cb4","resolution":{"observed_at":"2026-08-02T00:33:33.711893Z","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":"2026-08-02T00:33:33.787608Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.787608Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:9138d617c6a20bb33eb6923f24337ee974d57b9988f823e056e5e62729977448","observation_id":"d64b392a-6913-4a09-b1fd-af0127b4742a","resolution":{"observed_at":"2026-08-02T00:33:33.787608Z","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":"2026-08-02T00:33:33.841745Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.841745Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:20f49055b366867d39ad939f471a32a8b5cc56e70133acf69d0e2210a221e208","observation_id":"3c7145bb-25b2-4041-b6aa-4f47267eaf0b","resolution":{"observed_at":"2026-08-02T00:33:33.841745Z","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":"2026-08-02T00:33:33.914791Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:33.914791Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:66cf8b1eeb2c0cb7978f0f8e584e810ea8f02de73126573921571d4fe0c4bda2","observation_id":"c3d2aa08-1df7-40d6-8187-5f08a6be890f","resolution":{"observed_at":"2026-08-02T00:33:33.914791Z","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":"2026-08-02T00:33:34.037273Z","title":"HY-World, C","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:34.037273Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:fafb95684a6c408c07b4b579f440499e3c69d2a44b3da93749fec3fdafdccaf2","observation_id":"f6205ad1-2ba0-4c87-8048-ad4ce73d3881","resolution":{"observed_at":"2026-08-02T00:33:34.037273Z","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":"2026-08-02T00:33:34.167569Z","title":"Lipman, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:34.167569Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:42891f221b6b6eeb77a66ed0b3acebf37c3143f95be852f87c8d44b500ec2f4a","observation_id":"6df2dac9-82c6-46ca-b3d5-44ff45377fe5","resolution":{"observed_at":"2026-08-02T00:33:34.167569Z","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":"2026-08-02T00:33:34.325961Z","title":"Loshchilov and F","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:34.325961Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:c01cf4031e4e5ef98a25fd20d71947b21d6b707aa238a050af29679b81fdc410","observation_id":"f5729cac-3b00-4465-bd5a-6fe2ebce92e2","resolution":{"observed_at":"2026-08-02T00:33:34.325961Z","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":"2026-08-02T00:33:34.404097Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:34.404097Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:817c1e3bbca84d0a4e45e39c328bbd25e82290e29e7313ea1900311b8ea96d87","observation_id":"5f5569d4-9765-4342-a80d-76ead80c46e9","resolution":{"observed_at":"2026-08-02T00:33:34.404097Z","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":"2026-08-02T00:33:34.454611Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:34.454611Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:4e20b1365f1c32278b8237c2568fad0a5b85d783a5a29d7c543f1dc87179cd5e","observation_id":"bac5c5f0-cf51-42ff-bc0c-a332587a6826","resolution":{"observed_at":"2026-08-02T00:33:34.454611Z","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":"2026-08-02T00:33:34.529158Z","title":"11 A Appendix A.1 Observation and Action Spaces Proprioception and actions are expressed in a yaw-aligned local frame","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T00:33:34.529158Z"},"links":{"citing_paper":"/paper/2607.14997"},"observation_digest":"sha256:9480da89004f84b7f4ff0f08e2045b7cfa15be46a682232657a84cca9ccd532c","observation_id":"e2a7f08b-17ae-455b-af81-66af49196456","resolution":{"observed_at":"2026-08-02T00:33:34.529158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.14997","last_updated":"2026-07-16T13:46:00Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-05T13:26:30.068769Z","submitted_at":"2026-07-16T13:46:00Z","title":"AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":32},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.14997."}