{"as_of":"2026-08-15T15:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d371242269ecd5e066e36ed4a4fe5494fce6dad0125a8d1dae93e1426cfbed0c","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:25:31.926646Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2501.13189/citation-record","integrity":"/paper/2501.13189/integrity","json":"/paper/2501.13189/citation-record.json","paper":"/paper/2501.13189"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.988303Z","title":"Super odometry: Imu-centric lidar-visual-inertial estimator for challenging environments,","venue":null,"work_id":"578c5522-176f-466d-8f8e-f07ca77c5ab6","year":2021},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.625640Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:20601a6a87e2b32393e56d3976036bda6ae0e267157d98a323dc7cd382e73eb8","observation_id":"cc66d74c-de59-4087-a109-49f99107f7c3","resolution":{"observed_at":"2026-08-10T16:25:32.995982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07067","last_updated":"2022-01-18T15:48:51Z","snapshot_observed_at":"2026-08-13T16:57:31.023223Z","submitted_at":"2022-01-18T15:48:51Z","title":"CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07067","snapshot_observed_at":"2026-08-10T16:25:31.637728Z","title":"Cerberus: Autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the darpa subterranean challenge,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.637728Z"},"links":{"cited_paper":"/paper/2201.07067","citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:967accbd0b2f6b6f3b5c329951f5826816e7786d3d5058de1eab8eec0736e6b9","observation_id":"dbde5c51-f79b-47e9-a42c-bac34d8b8af1","resolution":{"observed_at":"2026-08-10T16:25:31.637728Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.958454Z","title":"Hydra-multi: Collabo- rative online construction of 3d scene graphs with multi-robot teams,","venue":null,"work_id":"aa43947c-f553-44ad-b280-7cc2991372d6","year":2023},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.654998Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:60873b7e87ac8a939f024f020ba92c13474c65f398a8352d5ca0e2e1905cc3be","observation_id":"baa13b40-3a9d-4943-9d28-2b57aab5d62a","resolution":{"observed_at":"2026-08-10T16:25:32.968663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:31.676097Z","title":"Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.676097Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:229e5706fdfac4fde1b62216e7eebd6ca5f2b2cebfc0e1da67d100af3c06d4b0","observation_id":"cf25484d-72e3-43a6-9916-b6e08bc2b1f5","resolution":{"observed_at":"2026-08-10T16:25:31.676097Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.902209Z","title":"Experimental comparison of decentralized task allocation algorithms under imperfect communication,","venue":null,"work_id":"55a01932-3a79-4323-881e-3799c6ad0ded","year":2020},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.684555Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:2cf009f115d078429db6132611119910b86627870e14e5274a37c4873f4fe1aa","observation_id":"e6660c41-167a-4333-b3a7-0da97878ebf7","resolution":{"observed_at":"2026-08-10T16:25:32.913018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.869675Z","title":"Bid prediction for multi-robot exploration with disrupted communi- cations,","venue":null,"work_id":"16653a3d-cf99-4581-a465-8cc719929bc7","year":2021},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.692677Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:e5fc8b44214f9d0f65029762105c50f719e2255de3a64b05b75e5091bda49048","observation_id":"54a5d35e-60aa-40a9-9a26-77c862ad5da4","resolution":{"observed_at":"2026-08-10T16:25:32.876637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.839390Z","title":"On mutual information- based control of range sensing robots for mapping applications,","venue":null,"work_id":"c61bc391-5e07-4f3c-a59e-6b3e07f60dfc","year":2014},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.703716Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:129dd2a9af257cc9a30ef071714ed660135356c2c152fb3d157eabdb6f18aa03","observation_id":"5fef567c-f103-4cf3-a85f-294c5ac68ff4","resolution":{"observed_at":"2026-08-10T16:25:32.851671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.812339Z","title":"Information-theoretic mapping using cauchy-schwarz quadratic mutual information,","venue":null,"work_id":"f2a62aa9-fbff-4e3a-998d-9744475ac692","year":2015},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.710851Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:abab48e10d35706eb75859bd7b5aa729a677e49b49f0ff2333a1e0e830e6d233","observation_id":"f21e69bd-e215-4fd6-94c5-878491a08ffe","resolution":{"observed_at":"2026-08-10T16:25:32.819155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.776827Z","title":"An efficient and continuous approach to information-theoretic exploration,","venue":null,"work_id":"a9be4d70-b4a5-46a0-a478-c2aed08b0235","year":2020},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.723399Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:0158607d7f1086bed6d6a24539b6db93c8fdae97ee16fb31bd5aac92ff766434","observation_id":"fb0df1a9-a238-4ac4-9cdd-4e3deae1c2f6","resolution":{"observed_at":"2026-08-10T16:25:32.789080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:31.743457Z","title":"High-resolution image synthesis with latent diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.743457Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:25b76c9b7a58b0d593e388baefe4a4f5a7d4f029be7b074785eb87bbed137b55","observation_id":"252249b4-b54e-4b16-ab49-3e16fabafc31","resolution":{"observed_at":"2026-08-10T16:25:31.743457Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.734693Z","title":"Repaint: Inpainting using denoising diffusion prob- abilistic models,","venue":null,"work_id":"2dde1699-029b-43a9-87a1-1f2ac6e79cd4","year":2022},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.762899Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:4f800bbb65a212c04b814fbd910bd8ce6781b5d36ac5e574bf33f4fb54877619","observation_id":"0793c086-e262-4ef2-83d6-989a1c7db651","resolution":{"observed_at":"2026-08-10T16:25:32.743174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06525","last_updated":"2024-06-10T17:59:52Z","snapshot_observed_at":"2026-08-13T22:05:34.844117Z","submitted_at":"2024-06-10T17:59:52Z","title":"Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06525","snapshot_observed_at":"2026-08-10T16:25:31.769691Z","title":"Autoregressive model beats diffusion: Llama for scalable image generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.769691Z"},"links":{"cited_paper":"/paper/2406.06525","citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:f13773e4ad48940228dc9213e1fdeca22b03617acf38c3363a151e7f863e391c","observation_id":"cfbf51bb-34bd-4b53-b726-487064382a2c","resolution":{"observed_at":"2026-08-10T16:25:31.769691Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.708487Z","title":"Occupancy map inpainting for online robot navigation,","venue":null,"work_id":"72f659cd-87ef-4fef-9552-aee865074904","year":2021},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.780173Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:f786aa099fb2d523d6aa400e6f84ef07bbc73680253761efaf9676524aed40e3","observation_id":"b289f782-0c82-4b01-8e10-6a054d871ab7","resolution":{"observed_at":"2026-08-10T16:25:32.714463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.657677Z","title":"Proxmap: Proximal occu- pancy map prediction for efficient indoor robot navigation,","venue":null,"work_id":"2a1aa289-ffe2-405f-8e34-3d0a3e1e9a69","year":2023},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.788358Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:a4740304e0539f6d55536167f9576a57eebda87a4f4106687cef379d0f2578e8","observation_id":"59dc02b7-0329-4928-8839-2887b0288f7b","resolution":{"observed_at":"2026-08-10T16:25:32.679635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.623792Z","title":"High-speed robot navigation using predicted occupancy maps,","venue":null,"work_id":"c34ef9d0-8911-44d4-8256-c4efb3613315","year":2021},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.803777Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:912d11d5b93053d93e95d62261415f0cec861c08af8e3a53db371a886c004c48","observation_id":"cd617cab-0807-4001-99ad-a0ad0e84794a","resolution":{"observed_at":"2026-08-10T16:25:32.644167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.566286Z","title":"Seeing what a gan cannot generate,","venue":null,"work_id":"6cad5c8d-988b-4988-8056-dcb142570b38","year":2019},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.817237Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:df1080e6f18785ee5c0867abab7bcc4c5c18d8d8b5079e4898a255ccf7f98ce1","observation_id":"9cb4d616-c576-4a9a-85ae-71a9b94b0e23","resolution":{"observed_at":"2026-08-10T16:25:32.576974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.513455Z","title":"Learned map prediction for enhanced mobile robot exploration,","venue":null,"work_id":"70ed1e92-478d-4d4e-b48b-71a204383ff1","year":2019},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.830899Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:7da6418c7763fd789c3833bd4bc749a24670c27aefbdcfa03f3ce09f213e76e3","observation_id":"d4f977ea-497c-487b-a079-6874ded1c7f8","resolution":{"observed_at":"2026-08-10T16:25:32.524693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.473780Z","title":"Improving the efficiency of a decentralized tasking algorithm for uav teams with asynchronous communications,","venue":null,"work_id":"f35bc2f1-8408-4b45-b17e-678f7f495a49","year":2010},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.845536Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:a74ca8a0f2129c8c5e55f362de54087a73c996d94e8d30fe36152db617aa75b8","observation_id":"28900b25-a6d0-48af-8c78-af0621c247ec","resolution":{"observed_at":"2026-08-10T16:25:32.486326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.435545Z","title":"Deep learning for image inpainting: A survey,","venue":null,"work_id":"b45be819-01c9-4c25-a968-3b892743a6e1","year":2023},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.859240Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:bfe2b328d234942da5526701857a21171cf6d7989d2bef728685fb983367d67f","observation_id":"8f7053ad-ae7d-4dd1-a452-757a8bf6b493","resolution":{"observed_at":"2026-08-10T16:25:32.443626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07161","last_updated":"2021-11-11T01:58:26Z","snapshot_observed_at":"2026-08-13T18:10:58.709543Z","submitted_at":"2021-09-15T08:54:29Z","title":"Resolution-robust Large Mask Inpainting with Fourier Convolutions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07161","snapshot_observed_at":"2026-08-10T16:25:31.875000Z","title":"Resolution-robust large mask inpainting with fourier convolutions,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.875000Z"},"links":{"cited_paper":"/paper/2109.07161","citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:0425d8d6b5ef1a3070998cedd5b7c08c00952407f4a9be6e14c0701cbe75c8ee","observation_id":"6a3b55f9-c343-42fe-afbd-2356db7be4b4","resolution":{"observed_at":"2026-08-10T16:25:31.875000Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.398889Z","title":"Fast fourier convolution,","venue":null,"work_id":"4e37f081-ae59-4e56-9e4b-f92659764bd0","year":2020},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.884658Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:ad14e24194672088a6afaee11e9b44a43f7f95520f697109e3a64b121e9596a4","observation_id":"ef8e40ee-a5b5-4b0c-8440-61bc3dda2ce5","resolution":{"observed_at":"2026-08-10T16:25:32.413289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-08-10T05:21:27.485481Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-10T16:25:31.898001Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.898001Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:19e1dab406f1d05b83754472613c8dc8adb03d63f3e5e2f9a0ff975ce0efaf6a","observation_id":"7b80d7c6-f711-4059-b857-35483e230c4e","resolution":{"observed_at":"2026-08-10T16:25:31.898001Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.360566Z","title":"Diffusers: State-of-the-art diffusion models","venue":null,"work_id":"78042f18-de5d-489c-98b4-39f2b1b67823","year":null},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.903811Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:97a92376092863f1f8512e30d037a9e9b2b455e46248fabbf4655aae472c27fe","observation_id":"f466f449-bb1d-416d-b45c-9a9514c5e864","resolution":{"observed_at":"2026-08-10T16:25:32.372052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:31.909150Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.909150Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:e2df7b692c41f25f77b595701a88f35a304a069d4201d29472c0d008e4e73488","observation_id":"7fe795c2-d7ac-46df-9a0b-b4cc75cad3c0","resolution":{"observed_at":"2026-08-10T16:25:31.909150Z","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":"2026-08-10T16:25:31.914253Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.914253Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:b1331f7ede96da377a05b4cbd1fd2957f5d518ba4e8341143aabb0197f7c3033","observation_id":"2f4f4495-fcb6-4b13-a0fb-66c6451e3544","resolution":{"observed_at":"2026-08-10T16:25:31.914253Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.229018Z","title":"Consensus-based decentralized auctions for robust task allocation,","venue":null,"work_id":"bf0ed0e6-e3b4-4f23-a876-2983d05823c1","year":2009},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.919647Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:551bc4bdf9fd8fc419428cba2e10433c378de9eda47721b1a826e5be046bca59","observation_id":"682ba134-93b6-48d4-beac-e3b08525cda2","resolution":{"observed_at":"2026-08-10T16:25:32.242843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:25:32.184068Z","title":"Scene graph prediction with limited labels,","venue":null,"work_id":"98c76235-b20c-4f92-9271-a7256dc37fa3","year":2019},"citing_paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T16:25:31.926646Z"},"links":{"citing_paper":"/paper/2501.13189"},"observation_digest":"sha256:f019764b2c349febbcd7bafe4d95a47c2c3da223685a63c26cee5a4f9b888f44","observation_id":"0aa82ad7-0969-4a75-98ec-096839123b7b","resolution":{"observed_at":"2026-08-10T16:25:32.196402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.13189","last_updated":"2025-01-22T19:40:04Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T05:46:22.192069Z","submitted_at":"2025-01-22T19:40:04Z","title":"Map Prediction and Generative Entropy for Multi-Agent Exploration"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":27},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2501.13189."}