{"as_of":"2026-08-08T04:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:25e954ffad17f7d3567167f4bf896ee8b0e1d8e4d63c6b8af71b4acbcaa9c11d","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:12:30.939320Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T08:13:40.975340Z","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":"2026-05-21T08:14:03.166265Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"cited_work":{"arxiv_id":"2507.12496","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.12496","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"49243489-c49e-4296-91d7-ebec288a7c4a","year":2025},"citing_paper":{"arxiv_id":"2605.12334","last_updated":"2026-05-20T07:28:11Z","snapshot_observed_at":"2026-07-06T23:24:03.984179Z","submitted_at":"2026-05-12T16:16:15Z","title":"Reinforcing VLAs in Task-Agnostic World Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-13T04:17:51.349213Z"},"links":{"cited_paper":"/paper/2507.12496","citing_paper":"/paper/2605.12334"},"observation_digest":"sha256:9f39ca449cbc44883213192f779136f2580da4da58a971cbb9eefc29581da238","observation_id":"2cc77a3d-6b2e-446e-9b89-b7050ad7ce9c","resolution":{"observed_at":"2026-05-13T04:27:14.325977Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"cited_work":{"arxiv_id":"2507.12496","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.12496","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"49243489-c49e-4296-91d7-ebec288a7c4a","year":2025},"citing_paper":{"arxiv_id":"2605.12334","last_updated":"2026-05-20T07:28:11Z","snapshot_observed_at":"2026-07-06T23:24:03.984179Z","submitted_at":"2026-05-12T16:16:15Z","title":"Reinforcing VLAs in Task-Agnostic World Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-21T08:13:40.975340Z"},"links":{"cited_paper":"/paper/2507.12496","citing_paper":"/paper/2605.12334"},"observation_digest":"sha256:f5dfaa7b4fb6e979559c5a31df63a5db86d5d4e5129bccc47d57a2a6530252b5","observation_id":"9502d7c9-8a17-479e-904f-0e23f6c42965","resolution":{"observed_at":"2026-05-21T08:14:03.168077Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.12496/citation-record","integrity":"/paper/2507.12496/integrity","json":"/paper/2507.12496/citation-record.json","paper":"/paper/2507.12496"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.09187","last_updated":"2024-07-12T21:14:32Z","snapshot_observed_at":"2026-07-06T17:02:01.491624Z","submitted_at":"2023-12-14T18:06:17Z","title":"Vision-Language Models as a Source of Rewards","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09187","snapshot_observed_at":"2026-08-06T17:12:27.133061Z","title":"Vision-language models as a source of rewards","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.133061Z"},"links":{"cited_paper":"/paper/2312.09187","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:1a30c4cf7713e55a97a5d20010c3c5f6c30735194022acfe1f2b7b0007c46592","observation_id":"393ff599-eb2f-415e-9f3d-295793eb7661","resolution":{"observed_at":"2026-08-06T17:12:27.133061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15818","last_updated":"2023-07-28T21:18:02Z","snapshot_observed_at":"2026-08-02T16:17:50.621617Z","submitted_at":"2023-07-28T21:18:02Z","title":"RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15818","snapshot_observed_at":"2026-08-06T17:12:27.256134Z","title":"Rt-2: Vision-language-action models transfer web knowledge to robotic control","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.256134Z"},"links":{"cited_paper":"/paper/2307.15818","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:14c20c6aa1fa35ea07f549d8bed0cc5cce983130c9c2d1ce3c80a28ab6298a7d","observation_id":"cde3a652-d87c-4464-bf58-e0a85a65d3f3","resolution":{"observed_at":"2026-08-06T17:12:27.256134Z","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":"2026-08-06T17:12:27.359179Z","title":"Do as i can, not as i say: Grounding language in robotic affordances","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.359179Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:520ae2d11a20878acdaaefc0570c7083906d31ab46b7e9a87eea372e11cf4d53","observation_id":"c53b73d1-ba7a-45f7-af22-9a063a0df22c","resolution":{"observed_at":"2026-08-06T17:12:27.359179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08235","last_updated":"2023-11-29T01:07:39Z","snapshot_observed_at":"2026-07-06T16:31:48.246401Z","submitted_at":"2023-10-12T11:31:01Z","title":"GROOT: Learning to Follow Instructions by Watching Gameplay Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08235","snapshot_observed_at":"2026-08-06T17:12:27.467433Z","title":"Groot: Learning to follow instructions by watching gameplay videos","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.467433Z"},"links":{"cited_paper":"/paper/2310.08235","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:1accc27608c6d14c4a7399aafe45ce374cec58d228a510c041f5486549424520","observation_id":"3ef6e875-2802-42fa-ba09-f14cd05c5355","resolution":{"observed_at":"2026-08-06T17:12:27.467433Z","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":"2026-08-06T17:12:35.729030Z","title":"Cross-modal domain adaptation for cost-efficient visual reinforcement learning","venue":null,"work_id":"eb29cad3-573f-46aa-ab3e-79a731206f22","year":2021},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.533484Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:e1af7fb3366c4a9af214b456db0e6e508f7fe5cc939cad7438d21d4dd9b85f89","observation_id":"9fa63600-8be8-4b11-91e1-f4c63f30750d","resolution":{"observed_at":"2026-08-06T17:12:35.797522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:35.565465Z","title":"Can foundation models perform zero-shot task specification for robot manipulation? In Learning for dynamics and control conference, pp.\\ 893--905","venue":null,"work_id":"946865b2-3a7a-42d6-b1a1-f922ffeff30c","year":2022},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.601707Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:f97f6e29c28b17e54378313e5b815e56748595cf98eb4022563e195c5528f600","observation_id":"4f4daad8-3ba7-4a41-8dee-feb468dc0f1e","resolution":{"observed_at":"2026-08-06T17:12:35.644731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:35.408830Z","title":"Guiding pretraining in reinforcement learning with large language models","venue":null,"work_id":"8b2f5701-a5c0-4b05-a2ea-e3f138fbff0f","year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.657823Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:6765de72f6e406e576b4153f6dbb4f370a295d807555f37fd3ddd13f83338cb6","observation_id":"57fe9b80-d4cd-401c-a9f3-6a2904981052","resolution":{"observed_at":"2026-08-06T17:12:35.471901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:35.211690Z","title":"Minedojo: Building open-ended embodied agents with internet-scale knowledge","venue":null,"work_id":"4f80b721-7b1c-4f5d-a4c1-a85e40f0780f","year":2022},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.732284Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:3e4bc48fe597938a699a3877f8403f723b90634a08eb4974abde554fa7c110a6","observation_id":"1e132207-e817-48cc-9223-0233bc5dcec7","resolution":{"observed_at":"2026-08-06T17:12:35.333970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:35.072979Z","title":"and Gu, S","venue":null,"work_id":"a8cb6297-e9ea-4048-9057-38350c66f63c","year":2021},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.824539Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:11864168924afbee4d5809efb012f3c8df106c92a4cc25c3945ed85a8d1c2064","observation_id":"0e8f48ee-2d86-4fdb-b837-61014d6434b3","resolution":{"observed_at":"2026-08-06T17:12:35.134480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:34.940699Z","title":"and Kong, R","venue":null,"work_id":"773c4ea0-16ca-429f-96d8-276c602084f4","year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.887164Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:d9d063a80df3a9dba53c12beee1e83760ac2622f16bac59841998c4117558db6","observation_id":"6bb2c2f5-6f1b-4806-9f91-763329d08b22","resolution":{"observed_at":"2026-08-06T17:12:34.997940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11956","last_updated":"2019-10-25T23:01:43Z","snapshot_observed_at":"2026-08-07T14:52:56.563730Z","submitted_at":"2019-10-25T23:01:43Z","title":"Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11956","snapshot_observed_at":"2026-08-06T17:12:27.957201Z","title":"Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:27.957201Z"},"links":{"cited_paper":"/paper/1910.11956","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:b90f7f0e36fdcb9f23a8d8f8d4340b87b0e50991548a428df20357f2d4fd830d","observation_id":"70a90a27-ee19-4c55-90ab-040b1ee96e71","resolution":{"observed_at":"2026-08-06T17:12:27.957201Z","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":"2026-08-06T17:12:34.810917Z","title":"Learning latent dynamics for planning from pixels","venue":null,"work_id":"8046d41e-ce89-4af6-b626-43f061119672","year":2019},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.026741Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:296db03d07724b1d790451eaa8bef3b4b4a9dd2ea4f6b4d1ff7aa6d60b247189","observation_id":"6b97252d-e342-487f-8f6f-429f3c351d1a","resolution":{"observed_at":"2026-08-06T17:12:34.871923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:34.659412Z","title":"Deep hierarchical planning from pixels","venue":null,"work_id":"8b16f8e9-f0ae-49f1-9267-f5d2bfb33bfc","year":2022},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.093852Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:2cd0716155091e5e67a91724b25a8ea6914d9ab27afd8cf9ee6a60847ad667a0","observation_id":"731b9d18-0fd5-488a-89f2-ba9117f486bf","resolution":{"observed_at":"2026-08-06T17:12:34.734574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.04104","last_updated":"2024-04-17T17:41:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-01-10T18:12:16Z","title":"Mastering Diverse Domains through World Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.04104","snapshot_observed_at":"2026-08-06T17:12:28.172780Z","title":"Mastering diverse domains through world models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.172780Z"},"links":{"cited_paper":"/paper/2301.04104","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:59ba984f91cf6a3a67be07cfa6db8cd656cc4e7746a3b7b7ce05355025ec8666","observation_id":"732811af-9d09-4692-8c73-22b6654ae172","resolution":{"observed_at":"2026-08-06T17:12:28.172780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.08225","last_updated":"2020-02-14T10:16:54Z","snapshot_observed_at":"2026-07-06T08:08:41.493066Z","submitted_at":"2019-07-18T18:07:47Z","title":"Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.08225","snapshot_observed_at":"2026-08-06T17:12:28.200971Z","title":"Dynamical distance learning for semi-supervised and unsupervised skill discovery","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.200971Z"},"links":{"cited_paper":"/paper/1907.08225","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:5dc19ec668cf9111b3383fcebafbace4fef853a53f5a4de14e4149fcac2cf1a0","observation_id":"39d27f75-d8dd-4317-88d2-126795e750cd","resolution":{"observed_at":"2026-08-06T17:12:28.200971Z","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":"2026-08-06T17:12:34.497518Z","title":"and Sadigh, D","venue":null,"work_id":"8cde819d-7efe-400b-a6a4-1180b270690e","year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.277519Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:c265549eb149470311547b0067eae3a30434e8834c414cd359db1e40e8c9c366","observation_id":"d373c343-182a-4564-8762-c9f0ca2b5658","resolution":{"observed_at":"2026-08-06T17:12:34.564075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03386","last_updated":"2024-04-04T11:37:55Z","snapshot_observed_at":"2026-07-06T17:55:36.748672Z","submitted_at":"2024-04-04T11:37:55Z","title":"SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring","version":1},"cited_work":{"arxiv_id":"2404.03386","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.03386","snapshot_observed_at":"2026-08-06T17:12:31.809504Z","title":"SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring","venue":"cs.RO","work_id":"71378bc4-26c5-4bbd-a2eb-d30939e7f945","year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.350202Z"},"links":{"cited_paper":"/paper/2404.03386","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:63278067563e3c1188e57c3ae78937139d644c41de6428e384fe382f344215be","observation_id":"e5908c2e-54f0-45b5-b2aa-339ee7a24d33","resolution":{"observed_at":"2026-08-06T17:12:31.927825Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:34.351588Z","title":"P., Littman, M","venue":null,"work_id":"038b3f40-ea00-4455-80b0-657772c1a322","year":1998},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.385639Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:cf4cfec8a53a0d29b3f924d7cd7f913a0df76ac577c5ccdeb42566eeb5f3c7cc","observation_id":"64ea682b-9d72-4056-a1c4-55684cacf274","resolution":{"observed_at":"2026-08-06T17:12:34.417337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00166","last_updated":"2023-09-29T22:10:01Z","snapshot_observed_at":"2026-08-06T01:29:08.189946Z","submitted_at":"2023-09-29T22:10:01Z","title":"Motif: Intrinsic Motivation from Artificial Intelligence Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00166","snapshot_observed_at":"2026-08-06T17:12:28.459946Z","title":"Motif: Intrinsic motivation from artificial intelligence feedback","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.459946Z"},"links":{"cited_paper":"/paper/2310.00166","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:12c995bd84dd2e3ed523f31ae26cdd241818d966f919ccfa94e47aa5f851eea9","observation_id":"4eeb02b1-76de-49a5-af09-5122d2f86184","resolution":{"observed_at":"2026-08-06T17:12:28.459946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.06169","last_updated":"2021-10-12T17:05:05Z","snapshot_observed_at":"2026-08-06T15:42:21.967989Z","submitted_at":"2021-10-12T17:05:05Z","title":"Offline Reinforcement Learning with Implicit Q-Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.06169","snapshot_observed_at":"2026-08-06T17:12:28.597728Z","title":"Offline reinforcement learning with implicit q-learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.597728Z"},"links":{"cited_paper":"/paper/2110.06169","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:59fc80db6cd3ffa35d19f6e8cbf1b273789a02ae28d174ef736e9c6cbf11a18d","observation_id":"9948b07d-d513-4c71-bac3-f9821c0a0714","resolution":{"observed_at":"2026-08-06T17:12:28.597728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.00001","last_updated":"2023-02-27T22:09:35Z","snapshot_observed_at":"2026-08-01T18:07:54.809322Z","submitted_at":"2023-02-27T22:09:35Z","title":"Reward Design with Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.00001","snapshot_observed_at":"2026-08-06T17:12:28.663704Z","title":"M., Bullard, K., and Sadigh, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.663704Z"},"links":{"cited_paper":"/paper/2303.00001","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:91f70b2458a1b07392e42c977a3e614e95d9a862aee321d4df0cb051535e2367","observation_id":"1c00c216-2a6c-4e00-bfd4-e78c84b992a8","resolution":{"observed_at":"2026-08-06T17:12:28.663704Z","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":"2026-08-06T17:12:34.202591Z","title":"R., Mesnard, T., Ferret, J., Bishop, C., Hall, E., Carbune, V., and Rastogi, A","venue":null,"work_id":"e82e09c5-538c-4ca5-aa65-d24b9733a756","year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.712237Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:ed4eaa05cc2f8a325f648d55e1691298bda4b87a5cab6f2b1bd342e11504f008","observation_id":"e301952f-11b8-46d9-b10b-f87b4e761d2b","resolution":{"observed_at":"2026-08-06T17:12:34.272126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19299","last_updated":"2024-02-29T16:07:22Z","snapshot_observed_at":"2026-08-06T12:12:35.064400Z","submitted_at":"2024-02-29T16:07:22Z","title":"RL-GPT: Integrating Reinforcement Learning and Code-as-policy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19299","snapshot_observed_at":"2026-08-06T17:12:28.796741Z","title":"Rl-gpt: Integrating reinforcement learning and code-as-policy","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.796741Z"},"links":{"cited_paper":"/paper/2402.19299","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:611f1271282367a8484689f377a7a90446532ae4bca7cb0ef7032ce303f35bc6","observation_id":"194f0667-1d72-4552-9e9f-c49024d10bd5","resolution":{"observed_at":"2026-08-06T17:12:28.796741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04779","last_updated":"2023-07-06T16:46:11Z","snapshot_observed_at":"2026-07-06T13:19:15.758425Z","submitted_at":"2022-06-09T22:08:47Z","title":"Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04779","snapshot_observed_at":"2026-08-06T17:12:28.879997Z","title":"J., Rudner, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.879997Z"},"links":{"cited_paper":"/paper/2206.04779","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:25b714ee96dc148f8aaea788bee3466a796897e13db46c052a8845c9154e37d3","observation_id":"6b995397-c9a1-41cd-af16-1afddfa6abc0","resolution":{"observed_at":"2026-08-06T17:12:28.879997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.09328","last_updated":"2022-06-19T05:28:03Z","snapshot_observed_at":"2026-07-06T13:22:24.142433Z","submitted_at":"2022-06-19T05:28:03Z","title":"A Survey on Model-based Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.09328","snapshot_observed_at":"2026-08-06T17:12:28.945529Z","title":"A survey on model-based reinforcement learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:28.945529Z"},"links":{"cited_paper":"/paper/2206.09328","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:134d504dd0189015cb4e6cacdeca038cf5a4c13f34f71e912b8b93bb34baf0c5","observation_id":"6efd49a3-65cb-448a-8795-8cf918c68c57","resolution":{"observed_at":"2026-08-06T17:12:28.945529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00344","last_updated":"2024-06-05T16:21:40Z","snapshot_observed_at":"2026-08-05T01:34:40.657284Z","submitted_at":"2023-09-30T11:38:13Z","title":"HarmonyDream: Task Harmonization Inside World Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00344","snapshot_observed_at":"2026-08-06T17:12:29.032900Z","title":"Harmonydream: Task harmonization inside world models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.032900Z"},"links":{"cited_paper":"/paper/2310.00344","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:32029300968fb60afd7d77e99038637181828d2aebf494e90b66ba153f5e20df","observation_id":"25c55c59-a52d-40eb-8d77-b7a5da1bb2dd","resolution":{"observed_at":"2026-08-06T17:12:29.032900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.13350","last_updated":"2024-01-19T17:33:36Z","snapshot_observed_at":"2026-08-04T07:48:29.837484Z","submitted_at":"2022-11-23T23:31:14Z","title":"Choreographer: Learning and Adapting Skills in Imagination","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.13350","snapshot_observed_at":"2026-08-06T17:12:29.095033Z","title":"Choreographer: Learning and adapting skills in imagination","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.095033Z"},"links":{"cited_paper":"/paper/2211.13350","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:7970e8546b087b02b2fe5c2603846da33e5bced34d3d77c46ec55ec442b2cd77","observation_id":"6aad80ff-a742-4054-ba79-ac79f96649bf","resolution":{"observed_at":"2026-08-06T17:12:29.095033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18043","last_updated":"2024-10-30T20:16:18Z","snapshot_observed_at":"2026-07-06T18:37:04.753504Z","submitted_at":"2024-06-26T03:41:48Z","title":"GenRL: Multimodal-foundation world models for generalization in embodied agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18043","snapshot_observed_at":"2026-08-06T17:12:29.164438Z","title":"Genrl: Multimodal-foundation world models for generalization in embodied agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.164438Z"},"links":{"cited_paper":"/paper/2406.18043","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:439633c603dd529051aefbe77f81079b0d26bf4ea7f2b782df3dc066bd076be0","observation_id":"d3742bf7-789e-44df-ad78-c06b4f37c4e7","resolution":{"observed_at":"2026-08-06T17:12:29.164438Z","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":"2026-08-06T17:12:34.009772Z","title":"Discovering and achieving goals via world models","venue":null,"work_id":"4bbd2e91-de3f-47c0-8ada-0d2ffe5e7195","year":2021},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.210706Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:c5231a349c9707530fc7d3db68b513f45f3adc9fca27dee910829d146b8fc5cb","observation_id":"8db3eb73-4c6d-4e3a-ba8a-a4078dd4f0e4","resolution":{"observed_at":"2026-08-06T17:12:34.069035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:33.860601Z","title":"M., Broekens, J., Plaat, A., Jonker, C","venue":null,"work_id":"c1e2040b-68e4-4e69-8621-4ce2d438d60a","year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.306471Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:f1fccc524f1de99d4a06c51749096ef5ae8031b2e962faa1d9a285cdaba1c5ec","observation_id":"126dc188-70fc-472b-8528-810bde1a90bc","resolution":{"observed_at":"2026-08-06T17:12:33.927684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2410.16411","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:31.450845Z","title":"A., Maccarini, M., Forgione, M., Piga, D., Spahiu, B., and Roveda, L","venue":null,"work_id":"5dbfb5c1-1477-4b2e-a214-888d1cd96bc0","year":null},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.402462Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:f2f2979fecb007cde1e5d330ccf3d496f1ce576638ba2b0707efb6fc5fcefaf1","observation_id":"45cf5505-9317-475a-b6b1-0f095341abf4","resolution":{"observed_at":"2026-08-06T17:12:31.527491Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:33.732442Z","title":"Foundation policies with hilbert representations","venue":null,"work_id":"029f299b-995c-4867-af8c-0bfc7b1da9ab","year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.463351Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:2e74212bebad0f13aebd03ce1836f203cb5768f527454df92f3a609021601921","observation_id":"4e7085c3-6b9a-4dc7-b1a4-68abcff1be6f","resolution":{"observed_at":"2026-08-06T17:12:33.797094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:33.604263Z","title":"Mp5: A multi-modal open-ended embodied system in minecraft via active perception","venue":null,"work_id":"0edcc9a9-5dcc-4908-98be-7a8fa4c5a839","year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.529716Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:c1d9d42ae4482b6cdf418022a07b6085a67a484831b94d97288d3815dd3d5a5b","observation_id":"424adbee-797f-42f2-9075-55babfc83952","resolution":{"observed_at":"2026-08-06T17:12:33.647134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12921","last_updated":"2024-03-14T12:16:00Z","snapshot_observed_at":"2026-08-05T09:19:33.671135Z","submitted_at":"2023-10-19T17:17:06Z","title":"Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12921","snapshot_observed_at":"2026-08-06T17:12:29.623006Z","title":"Vision-language models are zero-shot reward models for reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.623006Z"},"links":{"cited_paper":"/paper/2310.12921","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:c1dfcc5296c6cfdbe13607b5847561d44871b7955d2616df7657d1e6017202bf","observation_id":"e8732b67-dd5e-4cdb-ba09-daf077b9ee65","resolution":{"observed_at":"2026-08-06T17:12:29.623006Z","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":"2026-08-06T17:12:33.456554Z","title":"Planning to explore via self-supervised world models","venue":null,"work_id":"20b54064-1e40-4fbd-b823-9a9197798827","year":2020},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.690738Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:b5549c010cf1f29b7065cb44514711735fdde285bda991628084385220987812","observation_id":"824d6f99-d817-416b-adc9-2d4dc8e35362","resolution":{"observed_at":"2026-08-06T17:12:33.524220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:33.284591Z","title":"Roboclip: One demonstration is enough to learn robot policies","venue":null,"work_id":"4fb4f1c0-3db4-43c1-a5cd-1fbee9e3d1aa","year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.771319Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:9823594741bff0c04147470728c5a97b76daf83b610f06f50d9934d691d7f31b","observation_id":"2d5a1dab-767e-46df-bd83-8d8cd68c1f21","resolution":{"observed_at":"2026-08-06T17:12:33.348864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.01703","last_updated":"2019-09-22T18:31:15Z","snapshot_observed_at":"2026-07-06T05:32:27.193419Z","submitted_at":"2017-03-06T02:02:34Z","title":"Third-Person Imitation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.01703","snapshot_observed_at":"2026-08-06T17:12:29.850730Z","title":"C., Abbeel, P., and Sutskever, I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.850730Z"},"links":{"cited_paper":"/paper/1703.01703","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:eaaab2960949994c172d833f9e650fd6f0f22b953f8c7d93ad354f7cfc74d254","observation_id":"da74f2ca-0392-4b27-b122-422d1bf578d6","resolution":{"observed_at":"2026-08-06T17:12:29.850730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1801.00690","last_updated":"2018-01-02T15:48:14Z","snapshot_observed_at":"2026-08-01T20:24:08.300098Z","submitted_at":"2018-01-02T15:48:14Z","title":"DeepMind Control Suite","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.00690","snapshot_observed_at":"2026-08-06T17:12:29.950188Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:29.950188Z"},"links":{"cited_paper":"/paper/1801.00690","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:9daaf15c96a1c5e65a1d4e0e62db6d1786975e7b4a180fe4bb8df27220fcbb15","observation_id":"988eac78-cb55-455f-8fa4-138eb22a2724","resolution":{"observed_at":"2026-08-06T17:12:29.950188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.12808","last_updated":"2021-07-31T16:55:19Z","snapshot_observed_at":"2026-08-07T04:03:03.246090Z","submitted_at":"2021-07-27T13:30:07Z","title":"Open-Ended Learning Leads to Generally Capable Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.12808","snapshot_observed_at":"2026-08-06T17:12:30.024146Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.024146Z"},"links":{"cited_paper":"/paper/2107.12808","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:92706cb35b3460021f3085338d93eb1bdbf0da0d7f314c30f6448b029a0055bd","observation_id":"db5c832c-fde3-4b28-af48-6e0b8a96293c","resolution":{"observed_at":"2026-08-06T17:12:30.024146Z","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":"2026-08-06T17:12:33.120282Z","title":"Semail: eliminating distractors in visual imitation via separated models","venue":null,"work_id":"682bcb2a-3759-4a88-ac1b-621042fe5b54","year":2023},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.105756Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:e71a84c4a1ccdee23d80098dc736e1415e79960d298de28cc788da74bd8f9d36","observation_id":"f597f9c9-7137-463c-81fc-b1e1ffa06826","resolution":{"observed_at":"2026-08-06T17:12:33.188868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09486","last_updated":"2024-06-13T15:16:38Z","snapshot_observed_at":"2026-08-04T12:04:17.573531Z","submitted_at":"2024-06-13T15:16:38Z","title":"SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets","version":1},"cited_work":{"arxiv_id":"2406.09486","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09486","snapshot_observed_at":"2026-08-06T17:12:31.062990Z","title":"SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets","venue":"cs.CV","work_id":"f05a9068-95b0-4808-ac5d-45113146453a","year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.210729Z"},"links":{"cited_paper":"/paper/2406.09486","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:66bf23b5404254bcf7671cd0b5f0825c41265e12ce4013224036cfdff60a9210","observation_id":"1ad1568e-4602-4f15-99ec-8dec845ddf65","resolution":{"observed_at":"2026-08-06T17:12:31.137419Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:32.916988Z","title":"Internvideo2: Scaling foundation models for multimodal video understanding","venue":null,"work_id":"e1f217af-80ce-4c6e-96e0-8fe27a263852","year":2025},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.312954Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:936c587075da9332ae5362222d1b4f5bad025a1f180731c13d4a827f14496046","observation_id":"9dd3189e-ec2d-4766-a1a5-ac07e3942e89","resolution":{"observed_at":"2026-08-06T17:12:32.999439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14176","last_updated":"2022-06-28T17:44:48Z","snapshot_observed_at":"2026-07-06T13:25:39.576741Z","submitted_at":"2022-06-28T17:44:48Z","title":"DayDreamer: World Models for Physical Robot Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.14176","snapshot_observed_at":"2026-08-06T17:12:30.415168Z","title":"Daydreamer: World models for physical robot learning, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.415168Z"},"links":{"cited_paper":"/paper/2206.14176","citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:40b7e628efa001addace19cb085e537368ea3b7b08fe88e9dfdc962dd33df97f","observation_id":"9341a3ae-f10b-4994-aaa5-f008912652d8","resolution":{"observed_at":"2026-08-06T17:12:30.415168Z","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":"2026-08-06T17:12:32.737020Z","title":"Y., Levine, S., Finn, C., and Ma, T","venue":null,"work_id":"895d3a67-1511-4b51-9a98-c08cad68c600","year":2020},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.570668Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:7ebfe140e632cc89d5845dad123bbc12882eb01162de9c1fe50e5c0d7245f1bf","observation_id":"40a9dc6e-f8cf-4df9-951a-18d1d1caefdc","resolution":{"observed_at":"2026-08-06T17:12:32.807333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:32.561760Z","title":"Whale-x: Learning scalable embodied world models with enhanced generalizability","venue":null,"work_id":"088cb66a-81a1-466e-9532-48c6361fc0fb","year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.717909Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:29c9acefb42d4396a80080cbb6dae4af7340995dde3b3d3f815f55b8a349eb8f","observation_id":"dc6f4ff9-ae4c-465a-b17e-3898491b302c","resolution":{"observed_at":"2026-08-06T17:12:32.648068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:32.376602Z","title":"Learning from visual observation via offline pretrained state-to-go transformer","venue":null,"work_id":"7b16a094-1f49-4e72-8528-01ac246a9920","year":2024},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.805215Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:0c8c92fd9a6bce33755ffe53f5171632cebdce0a4b07b38f52f60d9b35a6e650","observation_id":"8b615564-fd1a-46a0-bdd5-4f24cd7a0ee0","resolution":{"observed_at":"2026-08-06T17:12:32.472993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:32.185167Z","title":"and Liu, X.-Y","venue":null,"work_id":"07749a9a-c833-4807-9980-da40665aad83","year":2005},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.873722Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:114b7649f83b02e41aa8a422a9c6bf00af57232ca02a139a85e7aff954bab609","observation_id":"2a6dd4b2-f3ee-411e-bf89-e37d50389509","resolution":{"observed_at":"2026-08-06T17:12:32.282337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:30.939320Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:30.939320Z"},"links":{"citing_paper":"/paper/2507.12496"},"observation_digest":"sha256:9f0489ddad56a30f4faafa294344e2487f12dee3f7cd0f6dbdc710653f1ceab0","observation_id":"cd48085a-29dd-4901-8fcf-a98606ec9533","resolution":{"observed_at":"2026-08-06T17:12:30.939320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.12496","last_updated":"2025-07-15T21:49:49Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-06T17:00:15.350427Z","submitted_at":"2025-07-15T21:49:49Z","title":"FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":3,"verified_fuzzy":23},"total_outbound_references":48},"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 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2507.12496."}