{"as_of":"2026-08-16T22:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e2dc5da4c102f107ac6bdf79fd551e499c9cc934c53e32ce4cea1c88e43f5d48","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:07:50.028349Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T19:24:48.899301Z","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":"2026-05-20T20:59:02.203456Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2505.08361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08361","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2505.08361 , year=","venue":null,"work_id":"a77ed0e5-a85b-4830-8408-51e8e6c07a4c","year":2025},"citing_paper":{"arxiv_id":"2605.02681","last_updated":"2026-05-04T15:00:32Z","snapshot_observed_at":"2026-07-06T23:15:41.793878Z","submitted_at":"2026-05-04T15:00:32Z","title":"The Design and Composition of Structural Causal Decision Processes","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-08T02:25:42.811467Z"},"links":{"cited_paper":"/paper/2505.08361","citing_paper":"/paper/2605.02681"},"observation_digest":"sha256:a1bcf42899249e67699b02fa2109fa16de63d99e8c83ce5ab97589b170388d66","observation_id":"0b4faa37-f3f1-4430-920b-24fdccf822f3","resolution":{"observed_at":"2026-05-11T22:46:13.410484Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2505.08361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08361","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2505.08361 , year=","venue":null,"work_id":"a77ed0e5-a85b-4830-8408-51e8e6c07a4c","year":2025},"citing_paper":{"arxiv_id":"2605.10118","last_updated":"2026-05-11T07:34:30Z","snapshot_observed_at":"2026-08-15T10:13:31.897860Z","submitted_at":"2026-05-11T07:34:30Z","title":"Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-12T03:36:24.941205Z"},"links":{"cited_paper":"/paper/2505.08361","citing_paper":"/paper/2605.10118"},"observation_digest":"sha256:086b86fa2e527d50f328e6b972a79eba88d5fe058ec9ac8eb5c7c32a7353c9e1","observation_id":"e14ddd6b-4b6f-47b4-b4da-b27392a83a67","resolution":{"observed_at":"2026-05-12T07:11:27.652213Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2505.08361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.08361","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2505.08361 , year=","venue":null,"work_id":"a77ed0e5-a85b-4830-8408-51e8e6c07a4c","year":2025},"citing_paper":{"arxiv_id":"2605.16054","last_updated":"2026-05-15T15:21:25Z","snapshot_observed_at":"2026-08-16T01:30:49.145475Z","submitted_at":"2026-05-15T15:21:25Z","title":"Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-20T20:54:31.025488Z"},"links":{"cited_paper":"/paper/2505.08361","citing_paper":"/paper/2605.16054"},"observation_digest":"sha256:56db05b144fe395b70b731ec60a9bd1a7b4883db795f61852fb46c2fdef275b7","observation_id":"349ef338-0215-49f3-8bf4-c349a211c2ac","resolution":{"observed_at":"2026-05-20T20:59:02.205289Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.08361","snapshot_observed_at":"2026-07-11T19:24:48.899301Z","title":"Modeling unseen environments with language-guided composable causal components in reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.04409","last_updated":"2026-07-05T17:02:40Z","snapshot_observed_at":"2026-08-13T11:30:46.774675Z","submitted_at":"2026-07-05T17:02:40Z","title":"Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling","version":1},"reference_index":178,"source":"arxiv_source","source_observed_at":"2026-07-11T19:24:48.899301Z"},"links":{"cited_paper":"/paper/2505.08361","citing_paper":"/paper/2607.04409"},"observation_digest":"sha256:5e33ed1a512d79711a94bb1d1164f5f7302473e2eedd00b2bfb9736e5a35d877","observation_id":"50290f3d-81b4-40c3-9d82-a708dcbb29b6","resolution":{"observed_at":"2026-07-11T19:24:48.899301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.08361/citation-record","integrity":"/paper/2505.08361/integrity","json":"/paper/2505.08361/citation-record.json","paper":"/paper/2505.08361"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:07:50.437689Z","title":"The latent variabless t have6dimensions, wheren c1 =n c2 =n c3 =","venue":null,"work_id":"c5249459-4618-484a-b211-9ae7648b3a1c","year":2025},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:50.005033Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:a5def4ce8787d1714a6465017f5921798484f7310ff368bb15cc1ba0735c61af","observation_id":"3c5f59f4-d4af-4c0d-a414-910e9c740e26","resolution":{"observed_at":"2026-08-15T22:07:50.443470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.486157Z","title":"However, this also adds some constraints and requirements on the number of tasks that combinedl 1 andl 2, which we are going to discuss later","venue":null,"work_id":"fc45a6b3-cbf5-4baf-bb89-d9c64969184d","year":2025},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.991503Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:16080d45cd2e4422af5ea1b8914e03bff841c95f59f90c9470d01fe8480f2615","observation_id":"939235a6-26ab-4a6d-bb34-adcf7234e8f7","resolution":{"observed_at":"2026-08-15T22:07:50.491203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.01290","last_updated":"2018-08-08T21:27:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-01-04T09:50:50Z","title":"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.01290","snapshot_observed_at":"2026-08-15T22:07:49.865717Z","title":"Abbeel, and Sergey Levine","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.865717Z"},"links":{"cited_paper":"/paper/1801.01290","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:37ec365c46097d37ec582f1def3a11132a4a5bec91e88456907ace3e89b40c5e","observation_id":"640993cc-32be-4764-a8a0-5a02074f88ee","resolution":{"observed_at":"2026-08-15T22:07:49.865717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.01603","last_updated":"2020-03-17T17:10:58Z","snapshot_observed_at":"2026-08-15T17:22:37.525122Z","submitted_at":"2019-12-03T18:57:16Z","title":"Dream to Control: Learning Behaviors by Latent Imagination","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.01603","snapshot_observed_at":"2026-08-15T22:07:49.871882Z","title":"Danijar Hafner, Timothy Lillicrap, Jimmy Ba, and Mohammad Norouzi","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.871882Z"},"links":{"cited_paper":"/paper/1912.01603","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:437bbd2c62e7f5bb09d926bc32639db86ea7e31b4d81f70a60bdd02d13f8247c","observation_id":"bc0da1ed-0fc4-45f3-abbe-282299af87d4","resolution":{"observed_at":"2026-08-15T22:07:49.871882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-15T22:07:49.877274Z","title":"Mastering diverse domains through world models.arXiv preprint arXiv:2301.04104,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.877274Z"},"links":{"cited_paper":"/paper/2301.04104","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:7f639132bb103d651eafc8484a26203a3b36f8258d52364e84bd313592e8aeee","observation_id":"6a84de14-3c1a-40b3-9010-f35756dce9f5","resolution":{"observed_at":"2026-08-15T22:07:49.877274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10930","last_updated":"2021-03-17T14:20:05Z","snapshot_observed_at":"2026-08-10T15:51:00.526523Z","submitted_at":"2020-07-21T16:46:05Z","title":"Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.10930","snapshot_observed_at":"2026-08-15T22:07:49.897777Z","title":"David Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, and Dylan Paiton","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.897777Z"},"links":{"cited_paper":"/paper/2007.10930","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:528885aaa54d313508d3c6f6a62ddce46d8bb0292ad43f2aa14db62d9646b36a","observation_id":"8eac3ddf-7c89-4e16-a3d0-7410b8815878","resolution":{"observed_at":"2026-08-15T22:07:49.897777Z","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":"2026-08-15T22:07:50.611978Z","title":"Identification of nonlinear latent hierarchical models.Advances in Neural Information Processing Systems, 36: 2010–2032, 2023a","venue":null,"work_id":"4d0a2489-1ead-4407-a07f-31adcf81453f","year":2010},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.902969Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:ab70d94d472174d9b2f2fb30654adf3d98c92a74ffe5bcffbd14dde8237686ea","observation_id":"140450fe-c4d8-4a4f-a2cc-76d5764badc7","resolution":{"observed_at":"2026-08-15T22:07:50.617051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.12601","last_updated":"2022-11-18T05:57:09Z","snapshot_observed_at":"2026-08-11T08:36:53.636356Z","submitted_at":"2022-03-23T17:55:09Z","title":"R3M: A Universal Visual Representation for Robot Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.12601","snapshot_observed_at":"2026-08-15T22:07:49.917796Z","title":"R3m: A univer- sal visual representation for robot manipulation.arXiv preprint arXiv:2203.12601,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.917796Z"},"links":{"cited_paper":"/paper/2203.12601","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:f27eeec6f1e976aed981d4d8c94586b78b79ae32aed8305d3fbbb3237d41e9b0","observation_id":"ddd2600a-f39f-4d31-b392-120871390d6d","resolution":{"observed_at":"2026-08-15T22:07:49.917796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.07560","last_updated":"2022-12-11T17:56:12Z","snapshot_observed_at":"2026-08-16T16:45:40.310239Z","submitted_at":"2022-07-15T16:06:33Z","title":"Skill-based Model-based Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.07560","snapshot_observed_at":"2026-08-15T22:07:49.936750Z","title":"Skill-based model-based reinforcement learning.arXiv preprint arXiv:2207.07560,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.936750Z"},"links":{"cited_paper":"/paper/2207.07560","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:64d9065c33ab66959f43ff70e4e8a252d984a7d49e9a1e31fa9dfdc294ff8717","observation_id":"1aaf4bd3-1748-482f-8432-ef03ea9bff44","resolution":{"observed_at":"2026-08-15T22:07:49.936750Z","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":"2026-08-15T22:07:50.581854Z","title":"Temporally disentangled representation learning under unknown nonstationarity.Advances in Neural Information Processing Systems, 36,","venue":null,"work_id":"4cba977e-d579-4690-9652-6ccdce4a2f20","year":2025},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.941495Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:cd3558b94dc38896394f16c59e392dfaa81e7c76bea04f8df594bcf59a9f37dd","observation_id":"28164990-8f7e-4c8f-8ae5-2dc16397c6d8","resolution":{"observed_at":"2026-08-15T22:07:50.586865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.02975","last_updated":"2019-12-28T04:04:43Z","snapshot_observed_at":"2026-07-06T08:42:30.413190Z","submitted_at":"2019-12-06T04:52:16Z","title":"Observational Overfitting in Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.02975","snapshot_observed_at":"2026-08-15T22:07:49.947665Z","title":"Observational overfitting in reinforcement learning.ArXiv, abs/1912.02975,","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.947665Z"},"links":{"cited_paper":"/paper/1912.02975","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:5de68ed254ad5c182d4ee74614e6bee85618e36241156177e4499e9d6e22d0f4","observation_id":"44b2fa85-6c17-4a60-ae44-e894decbf37c","resolution":{"observed_at":"2026-08-15T22:07:49.947665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05428","last_updated":"2022-02-08T21:47:39Z","snapshot_observed_at":"2026-08-16T17:50:14.712464Z","submitted_at":"2021-10-11T17:16:19Z","title":"Learning Temporally Causal Latent Processes from General Temporal Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.05428","snapshot_observed_at":"2026-08-15T22:07:49.952829Z","title":"Learning temporally causal latent processes from general temporal data.arXiv preprint arXiv:2110.05428,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.952829Z"},"links":{"cited_paper":"/paper/2110.05428","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:684f9d7af5de944afec946de1989d3ea0327dc6b04e775e2396b573b96aee1c2","observation_id":"1e707e8f-e345-485b-bab2-1bd9481a801d","resolution":{"observed_at":"2026-08-15T22:07:49.952829Z","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":"2026-08-15T22:07:50.565868Z","title":null,"venue":null,"work_id":"406ea5c1-21cf-407d-be2c-265e64640137","year":1910},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.957795Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:c0fdcf08cd293b7523bcd3ce279ef254031b6b61c4e864e899742d6261c45110","observation_id":"4f2a9fe7-54fd-492f-9bb3-ebb46dbc79ab","resolution":{"observed_at":"2026-08-15T22:07:50.571295Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.534404Z","title":null,"venue":null,"work_id":"871ad7b0-55d2-480d-854b-0d4bba3cd1a3","year":2018},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.977337Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:e98874ea84b1f36d7078fb0db42a93b2e0304cc3c5b17a39de4cd47ef6cf0aea","observation_id":"b27d0189-c8fa-418a-b952-963f50a2d587","resolution":{"observed_at":"2026-08-15T22:07:50.539166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.502030Z","title":"However, these approaches often focus on dimension-wise identifiability, which can be difficult to scale in real-world applications with complex causal dynamics","venue":null,"work_id":"a5543606-c1af-4bcb-9047-4a839e2e9ad0","year":2020},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.986287Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:80ef8823a3589fd9119cc5f7e603c459dea4b1c01a13b631579970edd3d8855b","observation_id":"49249234-cf49-4317-b789-21520e026b1b","resolution":{"observed_at":"2026-08-15T22:07:50.507469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.469275Z","title":"This would re- quireQ2 i=1nci tasks for2language components and Qm i=1nci + 1tasks formlanguage components","venue":null,"work_id":"b8042cec-cdf6-4bf2-9a23-fe2f60c324fa","year":2021},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.995843Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:911c816a2d52d403209efbf7d8af35ac6ae7354fe8ae81315ff9a4d97b5cd20d","observation_id":"efca8cb3-1cd9-4a52-b167-c4d985576deb","resolution":{"observed_at":"2026-08-15T22:07:50.474328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.454514Z","title":null,"venue":null,"work_id":"1a5fade3-ef30-469d-bb95-cfb4cdb2377a","year":2018},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:50.000428Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:23b78fcad6836357bd8ebcd4023c996ed6f68c1fb1724aec3e9b21ccf5e8fed4","observation_id":"9165fd8b-edd1-47e9-b394-d4b14342b15a","resolution":{"observed_at":"2026-08-15T22:07:50.458976Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.420407Z","title":"To best achieve the identifiability condition, we choose the common language component system that include most tasks,verbandobject","venue":null,"work_id":"9c7afa90-e531-4ae6-ad73-0f18e9340805","year":2023},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:50.009697Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:c41cd3ec933daf6c3e452655deedccd99d862328d1a461755f80d0de63f43ff6","observation_id":"15510cca-2ba7-49f1-8f1b-97cdea3119b5","resolution":{"observed_at":"2026-08-15T22:07:50.426021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.405115Z","title":null,"venue":null,"work_id":"9fd936b4-7481-498b-bacd-0a237c9f9279","year":2021},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:50.014087Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:067062a2539f5698963ce3d675cf85863c7c0a76b9488c0f0cc196630825cc5f","observation_id":"09a3a2f0-8e06-43e4-8b76-c62e07c82de3","resolution":{"observed_at":"2026-08-15T22:07:50.409877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.389241Z","title":null,"venue":null,"work_id":"4b0b6769-fe75-48d7-bd8e-708e1be1eb63","year":2025},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:50.019003Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:12ce1cfa1b7c9cbfa397e72e2b9e77555ffffe359856dfda8ac007f659c6a661","observation_id":"54839c12-b7f1-43fd-9cd5-bef5b7520ac6","resolution":{"observed_at":"2026-08-15T22:07:50.393930Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.356937Z","title":"These methods are often dimension-wise and fail to scale effectively to complex systems with interdependent latent structures","venue":null,"work_id":"837322d4-6523-4296-8e1f-1e690d5aa1ec","year":2016},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:50.028349Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:c47b7ed914e7138eb724631dfb143d19648f2aa4127315278ac6e9001152cfd1","observation_id":"fcb3f51b-39b8-485f-832c-fc595e9324de","resolution":{"observed_at":"2026-08-15T22:07:50.362664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.373573Z","title":"However, their methodologies and applications diverge significantly","venue":null,"work_id":"09b288d0-d12f-4245-8e96-6b3594a5a9df","year":2019},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":1997,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:50.023455Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:1062250c73b445646529f448d51ad77d3d0b86e21c3ee094a9e10fa33d12000d","observation_id":"7a91dedd-6d7b-489c-b6b3-7f84b0fa99ef","resolution":{"observed_at":"2026-08-15T22:07:50.378681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.518700Z","title":null,"venue":null,"work_id":"08e32248-fe04-4b9c-a919-108d1bbed07f","year":2021},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":1999,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.981817Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:4574c7255dd92e14be86912d5c1d6717c9baacabf9610ee920f1cb54ddc84399","observation_id":"ae68136a-67ac-4702-b643-5a4dea31ace6","resolution":{"observed_at":"2026-08-15T22:07:50.523563Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.596855Z","title":"Rusu, Joel Veness, Marc G","venue":null,"work_id":"440f1b1d-637c-4098-b49a-40153554611d","year":2025},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2003,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.907815Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:8505710761ae778943978333dc7b1391402f7d8c02376b203d7bac98d6f7ba03","observation_id":"e1d6f5fb-3f39-4875-b89b-20f44d5f61ab","resolution":{"observed_at":"2026-08-15T22:07:50.601311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.02729","last_updated":"2022-03-14T22:53:19Z","snapshot_observed_at":"2026-08-16T18:11:56.120805Z","submitted_at":"2021-07-06T16:56:25Z","title":"AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.02729","snapshot_observed_at":"2026-08-15T22:07:49.892105Z","title":"Adarl: What, where, and how to adapt in transfer reinforcement learning.arXiv preprint arXiv:2107.02729,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2008,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.892105Z"},"links":{"cited_paper":"/paper/2107.02729","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:7f5a3c6d4b9ea1ee76b3c2e9ae6b55b8d70ba4722d13e3eace1b4cf6214d7aae","observation_id":"6b9df42d-d8eb-4e33-a2fa-abf4a485c14c","resolution":{"observed_at":"2026-08-15T22:07:49.892105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1205.2599","last_updated":"2012-05-09T18:49:04Z","snapshot_observed_at":"2026-08-15T04:10:20.329243Z","submitted_at":"2012-05-09T18:49:04Z","title":"On the Identifiability of the Post-Nonlinear Causal Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1205.2599","snapshot_observed_at":"2026-08-15T22:07:49.968047Z","title":"semanticscholar.org/CorpusID:587067","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.968047Z"},"links":{"cited_paper":"/paper/1205.2599","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:4276ee13caffbf22410b83727e644a9dbe062fea78026eb9dce9c260b9b71020","observation_id":"b78af3aa-3e52-4b7d-af73-9b622c4aa536","resolution":{"observed_at":"2026-08-15T22:07:49.968047Z","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":"2026-08-15T22:07:50.549604Z","title":"Early approaches like Meta-RL and invariant representa- tion learning (Lee et al., 2019; Hansen & Wang, 2020; Yuan et al., 2022; Nair et al.,","venue":null,"work_id":"c7bf8b79-9bd2-42af-bbfa-309e5d563588","year":2025},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.972860Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:9dac3e6758d83df9f02182ad12bf1e23d89bdb34b1b9c1561dc67e8766c63731","observation_id":"4841c140-364e-4db2-bd23-fe7dbe0f2094","resolution":{"observed_at":"2026-08-15T22:07:50.554748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15709","last_updated":"2024-06-07T09:11:08Z","snapshot_observed_at":"2026-08-16T14:49:24.561572Z","submitted_at":"2023-10-24T10:38:02Z","title":"Causal Representation Learning Made Identifiable by Grouping of Observational Variables","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15709","snapshot_observed_at":"2026-08-15T22:07:49.912904Z","title":"Hiroshi Morioka and Aapo Hyv¨arinen","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.912904Z"},"links":{"cited_paper":"/paper/2310.15709","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:120a58281902f84ed2f76067637db629da647e6391740a2e98fdea3d20bb5c9a","observation_id":"62419903-8327-4ede-8f69-431cfb2fb4d8","resolution":{"observed_at":"2026-08-15T22:07:49.912904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16014","last_updated":"2024-04-30T17:54:04Z","snapshot_observed_at":"2026-08-02T10:59:21.418230Z","submitted_at":"2024-04-24T17:47:22Z","title":"Improving Dictionary Learning with Gated Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16014","snapshot_observed_at":"2026-08-15T22:07:49.922710Z","title":"Improving dictionary learning with gated sparse autoen- coders.arXiv preprint arXiv:2404.16014,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.922710Z"},"links":{"cited_paper":"/paper/2404.16014","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:7db1475fabd16a4a4ede86d8c7bd86190432caacfcabb7b229233e7d7678df91","observation_id":"e2d0ba6b-cb5d-4fa6-ab53-1d3b0c01acb6","resolution":{"observed_at":"2026-08-15T22:07:49.922710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.02779","last_updated":"2016-11-10T01:17:36Z","snapshot_observed_at":"2026-08-14T21:31:19.001119Z","submitted_at":"2016-11-09T00:13:29Z","title":"RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.02779","snapshot_observed_at":"2026-08-15T22:07:49.854898Z","title":"Yan Duan, John Schulman, Xi Chen, Peter L","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.854898Z"},"links":{"cited_paper":"/paper/1611.02779","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:9c28a28a19827688c0be95997419e3e48ccf21a844ebb6739b02f9156b58f1d9","observation_id":"12ce5b2f-90c1-4c4f-80e1-693095541063","resolution":{"observed_at":"2026-08-15T22:07:49.854898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10122","last_updated":"2018-05-09T09:06:27Z","snapshot_observed_at":"2026-08-15T13:04:28.651186Z","submitted_at":"2018-03-27T15:08:55Z","title":"World Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.10122","snapshot_observed_at":"2026-08-15T22:07:49.860770Z","title":"World models.arXiv preprint arXiv:1803.10122,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.860770Z"},"links":{"cited_paper":"/paper/1803.10122","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:3cc2ae32aa0ff1e74dcf2de61156f7ec48f255cfd8c408eee4a6329ca5f5d043","observation_id":"f7ba97c7-7d46-41eb-87a8-51bfb1a3c490","resolution":{"observed_at":"2026-08-15T22:07:49.860770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.16828","last_updated":"2024-03-21T17:56:19Z","snapshot_observed_at":"2026-07-31T05:32:29.431480Z","submitted_at":"2023-10-25T17:57:07Z","title":"TD-MPC2: Scalable, Robust World Models for Continuous Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.16828","snapshot_observed_at":"2026-08-15T22:07:49.887344Z","title":"Nicklas Hansen, Hao Su, and Xiaolong Wang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.887344Z"},"links":{"cited_paper":"/paper/2310.16828","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:9b0e1263173548f7451fc5296d9ed4f571de2a0a0ba4ccc096c338aec4f4641c","observation_id":"1c96dca4-befd-4b64-8dfa-249cb62e5fc1","resolution":{"observed_at":"2026-08-15T22:07:49.887344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-15T20:26:32.102285Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-15T22:07:49.932197Z","title":"Proxi- mal policy optimization algorithms.ArXiv, abs/1707.06347,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.932197Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:a01abd25a84da995bc28027eed266fb3e6a59617dc95f6e04bfdedc5ba4d6755","observation_id":"b6c70547-e7fb-4e09-b6cb-10c46d1dc391","resolution":{"observed_at":"2026-08-15T22:07:49.932197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.06016","last_updated":"2020-06-11T18:01:02Z","snapshot_observed_at":"2026-08-08T02:42:18.719431Z","submitted_at":"2020-03-12T21:03:01Z","title":"Invariant Causal Prediction for Block MDPs","version":2},"cited_work":{"arxiv_id":"2003.06016","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.06016","snapshot_observed_at":"2026-08-15T22:07:50.083639Z","title":"Invariant Causal Prediction for Block MDPs","venue":"cs.LG","work_id":"4a970930-da08-470b-9884-5592c5d4154a","year":2020},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.962975Z"},"links":{"cited_paper":"/paper/2003.06016","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:03906a5a214aaac0eeabae5b3be9f1d73e364376633ac52c2daea9278324a7e9","observation_id":"92066836-5a71-4b14-94f4-daec2aed95f2","resolution":{"observed_at":"2026-08-15T22:07:50.090492Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T22:07:50.627232Z","title":"Generalization in reinforcement learning by soft data augmen- tation.2021 IEEE International Conference on Robotics and Automation (ICRA), pp","venue":null,"work_id":"fc0eec63-2cfe-499b-8030-f012680affba","year":2025},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.882398Z"},"links":{"citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:e31f3784394bcd6e91e87335050ad331606778726f63d897ccb54b15a5820a56","observation_id":"5940a011-68c7-40d2-96e6-3477cf5fb7fb","resolution":{"observed_at":"2026-08-15T22:07:50.632070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.11107","last_updated":"2021-02-22T15:26:57Z","snapshot_observed_at":"2026-08-16T18:43:53.864885Z","submitted_at":"2021-02-22T15:26:57Z","title":"Towards Causal Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.11107","snapshot_observed_at":"2026-08-15T22:07:49.927611Z","title":"Towards causal representation learning.ArXiv, abs/2102.11107,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T22:07:49.927611Z"},"links":{"cited_paper":"/paper/2102.11107","citing_paper":"/paper/2505.08361"},"observation_digest":"sha256:82df19b6435e3c192b7f568b2a0a08e1cf087118961a7602c1bdd6bf2e52a128","observation_id":"362323ba-ef67-45ac-ba7f-afde5129b684","resolution":{"observed_at":"2026-08-15T22:07:49.927611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.08361","last_updated":"2025-05-13T09:08:28Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T02:34:56.506557Z","submitted_at":"2025-05-13T09:08:28Z","title":"Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":36},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 4 inbound Pith citation observations for arXiv:2505.08361."}