{"as_of":"2026-08-09T09:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7c62cdd2650d3fbbc07b67b0cf82c2da200fffe60aba0eb7d8847b5d31682e27","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":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":21,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:13:42.754803Z","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":"2026-07-04T03:29:29.474307Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2504.18576","last_updated":"2026-04-24T20:54:23Z","snapshot_observed_at":"2026-07-06T21:14:57.707919Z","submitted_at":"2025-04-22T20:58:22Z","title":"DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-22T17:50:59.797593Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2504.18576"},"observation_digest":"sha256:03a66d778634455d4545dc6f60749c982aa6ab3fec56a0a0a936bf2533a0e821","observation_id":"9b125c01-8d02-4d49-a876-30b171bb7c18","resolution":{"observed_at":"2026-05-22T17:51:54.724798Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-07T13:13:42.754803Z","title":"Dome: Taming diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22421","last_updated":"2025-05-29T12:41:53Z","snapshot_observed_at":"2026-08-09T00:50:02.229626Z","submitted_at":"2025-05-28T14:46:51Z","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:42.754803Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2505.22421"},"observation_digest":"sha256:c5aea60ee8b07fb829f9bb4632c27237ee51278976745845f21824178b9b7cb1","observation_id":"f49e13b1-88ab-43ef-a031-117538ab56b0","resolution":{"observed_at":"2026-08-07T13:13:42.754803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-07T00:41:29.912088Z","title":"Dome: Taming diffusion model into high-fidelity controllable occupancy world model.arXiv preprint arXiv:2410.10429, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13260","last_updated":"2025-06-16T09:01:09Z","snapshot_observed_at":"2026-08-08T14:31:13.532222Z","submitted_at":"2025-06-16T09:01:09Z","title":"COME: Adding Scene-Centric Forecasting Control to Occupancy World Model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:41:29.912088Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2506.13260"},"observation_digest":"sha256:aea562493d777a124faa2d1cc0210227ece3fcc04d8aefa7e1ee7ce52193911c","observation_id":"5026a570-a1fa-4589-98e4-01b1c8fd1085","resolution":{"observed_at":"2026-08-07T00:41:29.912088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-06T21:29:48.761264Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24113","last_updated":"2025-06-30T17:56:35Z","snapshot_observed_at":"2026-08-08T02:57:16.646869Z","submitted_at":"2025-06-30T17:56:35Z","title":"Epona: Autoregressive Diffusion World Model for Autonomous Driving","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:29:48.761264Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2506.24113"},"observation_digest":"sha256:4f837f677e1fb6f7a299211012eb7e469451a3f36608b5a36c2c97891102ea7c","observation_id":"6d2260a1-6b29-479b-a684-08871cc56c55","resolution":{"observed_at":"2026-08-06T21:29:48.761264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-06T21:19:28.914725Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00603","last_updated":"2025-07-01T09:36:38Z","snapshot_observed_at":"2026-08-07T02:31:44.510306Z","submitted_at":"2025-07-01T09:36:38Z","title":"World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:19:28.914725Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2507.00603"},"observation_digest":"sha256:d3507839275bd97181d75d09665c4d9903aa94413ebd768dfc6631723a68f52f","observation_id":"7e9a3492-fd7b-4a7f-a38c-7bb133eceb70","resolution":{"observed_at":"2026-08-06T21:19:28.914725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-06T21:09:19.089679Z","title":"Dome: Taming diffusion model into high- fidelity controllable occupancy world model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00917","last_updated":"2025-09-03T01:44:58Z","snapshot_observed_at":"2026-08-06T21:00:05.983801Z","submitted_at":"2025-07-01T16:23:00Z","title":"A Survey: Learning Embodied Intelligence from Physical Simulators and World Models","version":3},"reference_index":297,"source":"pdf_text","source_observed_at":"2026-08-06T21:09:19.089679Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2507.00917"},"observation_digest":"sha256:244c4bbec4a019aa42395020eca0ca3d0426a2368e9e69eafc8de8271d42e92a","observation_id":"69d03620-ebd1-4159-ac54-d37d909ee7d4","resolution":{"observed_at":"2026-08-06T21:09:19.089679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-06T18:32:54.709837Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model.arXiv preprint arXiv:2410.10429, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07997","last_updated":"2025-07-14T09:33:58Z","snapshot_observed_at":"2026-08-09T08:02:17.898149Z","submitted_at":"2025-07-10T17:59:54Z","title":"MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:54.709837Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2507.07997"},"observation_digest":"sha256:a0ff38991964e684236dc19c11b84e50fde027e70c63129a7f123a92a7e5550e","observation_id":"e7e61a31-cdb8-44f3-9958-9a1053b31b4c","resolution":{"observed_at":"2026-08-06T18:32:54.709837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-06T18:08:50.127134Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09144","last_updated":"2025-08-02T15:31:49Z","snapshot_observed_at":"2026-08-09T04:18:28.733906Z","submitted_at":"2025-07-12T05:14:39Z","title":"$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:08:50.127134Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2507.09144"},"observation_digest":"sha256:45ad0180ee519abfdc75309f49efb0d618c86467f2c09046d2789d09ca10208a","observation_id":"69b499b6-93b8-40fa-9686-373f74471843","resolution":{"observed_at":"2026-08-06T18:08:50.127134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-05T06:04:12.844748Z","title":"DOME: Taming diffusion model into high-fidelity controllable occupancy world model.arXiv preprint arXiv:2410.10429, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07996","last_updated":"2026-07-20T17:34:32Z","snapshot_observed_at":"2026-08-07T09:38:31.708978Z","submitted_at":"2025-09-04T17:59:58Z","title":"3D and 4D World Modeling: A Survey","version":4},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T06:04:12.844748Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2509.07996"},"observation_digest":"sha256:3520709730273ed771a67bc9d6e0c208c5e74eb87a31c0266dc33f86be10f86a","observation_id":"6a874407-46ff-4eea-a746-df7bccddb128","resolution":{"observed_at":"2026-08-05T06:04:12.844748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-08-04T09:12:40.271035Z","title":"DOME: Taming diffusion model into high-fidelity controllable occupancy world model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.16732","last_updated":"2026-06-25T19:54:02Z","snapshot_observed_at":"2026-08-07T10:54:05.573771Z","submitted_at":"2025-10-19T07:12:32Z","title":"A Comprehensive Survey on World Models for Embodied AI","version":3},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-04T09:12:40.271035Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2510.16732"},"observation_digest":"sha256:488391662a641195bb440c77462e2e968cf8d13994ff899ec9b426b31f7bcf32","observation_id":"30d83273-0ed2-49ce-85ed-275b34313bcd","resolution":{"observed_at":"2026-08-04T09:12:40.271035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2511.22039","last_updated":"2026-04-14T12:13:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-11-27T02:48:45Z","title":"SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-17T05:26:34.859975Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2511.22039"},"observation_digest":"sha256:2479fe67d2f3679fdbcfc6ecda20dbd8daafa4005ebaf3ed53da0d8c59be06b0","observation_id":"11d51470-4ba8-4605-9fdf-a835fcfb213c","resolution":{"observed_at":"2026-05-17T05:29:04.951833Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2512.01030","last_updated":"2026-05-18T02:06:07Z","snapshot_observed_at":"2026-08-07T19:28:53.049339Z","submitted_at":"2025-11-30T18:57:25Z","title":"Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-21T18:21:15.831853Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2512.01030"},"observation_digest":"sha256:f833fac9724c78c07caf669741defecddcadfbdba1e3cc23f44c0efa0d67b877","observation_id":"1c465e81-810c-4899-986d-5e4120239c27","resolution":{"observed_at":"2026-05-21T18:24:18.266073Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2602.07775","last_updated":"2026-05-03T01:49:14Z","snapshot_observed_at":"2026-07-30T09:22:37.641917Z","submitted_at":"2026-02-08T02:16:02Z","title":"Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion","version":6},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-16T07:02:38.876518Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2602.07775"},"observation_digest":"sha256:74c816421b11e52fc436684cbbc8ee4209a0cdc9b9932d1095c03ac770b68207","observation_id":"63bd158b-f5bb-48b6-b17d-6ba4a5e6ace1","resolution":{"observed_at":"2026-05-16T07:07:29.793888Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2604.12857","last_updated":"2026-04-14T15:09:07Z","snapshot_observed_at":"2026-07-06T23:01:00.830207Z","submitted_at":"2026-04-14T15:09:07Z","title":"Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic","version":1},"reference_index":149,"source":"pdf_text","source_observed_at":"2026-05-10T16:00:59.662003Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2604.12857"},"observation_digest":"sha256:6073fd59d14862a3de75b208cadca947e34366d21fad1d7a4f1a9a4dfde825e5","observation_id":"81de777f-6400-4b98-a7de-f3cb67211095","resolution":{"observed_at":"2026-05-11T09:26:02.669057Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2604.28196","last_updated":"2026-04-30T17:59:58Z","snapshot_observed_at":"2026-07-06T23:13:29.310140Z","submitted_at":"2026-04-30T17:59:58Z","title":"HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-07T05:31:59.676725Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2604.28196"},"observation_digest":"sha256:d0e5e05778c8aed8a4ddfd35b24a9cb7d154a1f83144eefedf35b02b8530706c","observation_id":"ea56042e-b604-4f3b-b594-558797298bd8","resolution":{"observed_at":"2026-05-12T10:36:30.062034Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2605.07326","last_updated":"2026-05-08T06:32:12Z","snapshot_observed_at":"2026-07-30T05:23:33.496468Z","submitted_at":"2026-05-08T06:32:12Z","title":"GEM: Generating LiDAR World Model via Deformable Mamba","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-11T01:31:09.604703Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2605.07326"},"observation_digest":"sha256:44018879b23d9b1c69e09519d3f699abb59f5e0e7bd2fcbf81f4e9af88887a29","observation_id":"b09dd0b6-02ed-4288-9930-2346d706718b","resolution":{"observed_at":"2026-05-11T01:45:51.329343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2605.17682","last_updated":"2026-05-17T22:52:53Z","snapshot_observed_at":"2026-07-30T23:49:26.769474Z","submitted_at":"2026-05-17T22:52:53Z","title":"GEM: Gaussian Evolution Model for Occupancy Forecasting and Motion Planning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-20T13:22:31.915829Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2605.17682"},"observation_digest":"sha256:c5c0c1c37617f716aae818823c11da6fd5c059f8d350355ee19f468d7e8997c2","observation_id":"edaa927a-76d1-4f35-805f-dcde23ce8ea2","resolution":{"observed_at":"2026-05-20T13:23:18.379452Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2605.26113","last_updated":"2026-05-25T17:59:48Z","snapshot_observed_at":"2026-08-05T18:59:45.803385Z","submitted_at":"2026-05-25T17:59:48Z","title":"AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-29T21:15:12.465970Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2605.26113"},"observation_digest":"sha256:051f90d12f8594372f9318985ac385edcbf7731eff895f45bbce23ae209b4842","observation_id":"0cf7e19e-c18e-4d58-a096-06b4910af891","resolution":{"observed_at":"2026-06-29T22:04:00.910208Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2605.27038","last_updated":"2026-05-26T13:56:31Z","snapshot_observed_at":"2026-07-06T23:36:48.467513Z","submitted_at":"2026-05-26T13:56:31Z","title":"TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-29T17:42:49.902997Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2605.27038"},"observation_digest":"sha256:80663a9b3f3d1b6469ac0f0d5761713db1945f15eb337efd015d2c3c02ebb31f","observation_id":"e6dfff39-892b-46c2-a6a9-223c2a24e304","resolution":{"observed_at":"2026-06-29T17:43:45.765979Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2606.20189","last_updated":"2026-06-23T13:08:08Z","snapshot_observed_at":"2026-08-05T20:17:36.710597Z","submitted_at":"2026-06-18T13:01:40Z","title":"HilDA: Hierarchical Distillation with Diffusion for Advancing Self-Supervised LiDAR Pre-training","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T18:06:04.101217Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2606.20189"},"observation_digest":"sha256:2b80f0da3023166eb0db6f167a340658ace92c0d5630a9062568d476b771b388","observation_id":"df861c6f-8cef-4160-9fca-25fe3fac6d72","resolution":{"observed_at":"2026-07-04T03:29:29.477514Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","version":1},"cited_work":{"arxiv_id":"2410.10429","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10429","snapshot_observed_at":"2026-07-04T03:29:29.474307Z","title":"Dome: Tam- ing diffusion model into high-fidelity controllable occupancy world model","venue":null,"work_id":"a319c6c5-4f7e-41dc-bc52-b4d6ae93b698","year":2024},"citing_paper":{"arxiv_id":"2606.30421","last_updated":"2026-06-29T15:05:41Z","snapshot_observed_at":"2026-08-05T02:53:09.232634Z","submitted_at":"2026-06-29T15:05:41Z","title":"OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T05:59:20.898830Z"},"links":{"cited_paper":"/paper/2410.10429","citing_paper":"/paper/2606.30421"},"observation_digest":"sha256:344dd5c76926b8ccad14cd465f85441405bea00d79f7f75fa9a8b519b15ece43","observation_id":"ec0c1f05-2a6a-4602-96a2-28baf1734c59","resolution":{"observed_at":"2026-06-30T06:04:21.630838Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.10429/citation-record","integrity":"/paper/2410.10429/integrity","json":"/paper/2410.10429/citation-record.json","paper":"/paper/2410.10429"},"outbound":[],"paper":{"arxiv_id":"2410.10429","last_updated":"2024-10-14T12:24:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T21:31:53.134914Z","submitted_at":"2024-10-14T12:24:32Z","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2410.10429."}