{"as_of":"2026-08-19T05:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ddcccf1034b46c2d167dd38cb359201786283ab5e61e5213363c0affc57e1eb3","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T02:48:10.539755Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T11:36:48.704188Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T11:36:51.765818Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"cited_work":{"arxiv_id":"2607.25337","doi":null,"metadata_source":"pith","pith_arxiv_id":"2607.25337","snapshot_observed_at":"2026-08-10T11:36:51.765818Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","venue":"cs.CL","work_id":"784d5e21-24d1-4243-bb04-f7f9aa28bbd3","year":2026},"citing_paper":{"arxiv_id":"2608.07265","last_updated":"2026-08-07T14:25:33Z","snapshot_observed_at":"2026-08-13T02:38:03.688765Z","submitted_at":"2026-08-07T14:25:33Z","title":"Metric Non-Collapse in Learned World Models for Control: Approximation Theory, Finite-Sample Geometric Guarantees, and Deterministic Planning Transfer","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T11:36:48.704188Z"},"links":{"cited_paper":"/paper/2607.25337","citing_paper":"/paper/2608.07265"},"observation_digest":"sha256:6e64bb58ebe91378e6ef804f0e984c4113983355cd7f4b48ca6cdfc68deed181","observation_id":"ab57af4d-1adb-47ed-bf22-ffa3421d2ca9","resolution":{"observed_at":"2026-08-10T11:36:51.769573Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2607.25337/citation-record","integrity":"/paper/2607.25337/integrity","json":"/paper/2607.25337/citation-record.json","paper":"/paper/2607.25337"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T02:48:10.441682Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.441682Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:40c7c271627b3c3f4a0b2ce58f0942fd4da77ea0909b7a465fd9eff973d6ce2e","observation_id":"9b0d093d-adbe-4750-bac2-74000667092b","resolution":{"observed_at":"2026-08-01T02:48:10.441682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.08544","last_updated":"2025-11-14T08:38:32Z","snapshot_observed_at":"2026-08-18T08:21:10.395771Z","submitted_at":"2025-11-11T18:21:55Z","title":"LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.08544","snapshot_observed_at":"2026-08-01T02:48:10.445497Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.445497Z"},"links":{"cited_paper":"/paper/2511.08544","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:d0dfb122082ad5b7fe7719866b131b7d99757025a223bff34502073ad52241e8","observation_id":"667fb3b5-00a8-4329-8e15-67507677a305","resolution":{"observed_at":"2026-08-01T02:48:10.445497Z","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":"2026-08-01T02:48:10.449330Z","title":"Kroese, Shie Mannor, and Reuven Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.449330Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:5b5f6e6aefc9d8720020ca870152f4fa59a2edbf0a39952baeb0a17c7681b569","observation_id":"68c042c0-eebd-421b-8c75-9f5ee58a45c4","resolution":{"observed_at":"2026-08-01T02:48:10.449330Z","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":"2026-08-01T02:48:10.455545Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.455545Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:81b6e30a95b36bccd978c6fade730dcec08e52e64eb2281949c84985e702fec4","observation_id":"7b869f84-9dc6-4b05-a0da-377151a711ae","resolution":{"observed_at":"2026-08-01T02:48:10.455545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.06088","last_updated":"2020-10-02T19:49:10Z","snapshot_observed_at":"2026-08-13T23:59:03.584749Z","submitted_at":"2019-12-12T17:26:47Z","title":"Learning to Reach Goals via Iterated Supervised Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.06088","snapshot_observed_at":"2026-08-01T02:48:10.458568Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.458568Z"},"links":{"cited_paper":"/paper/1912.06088","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:19e837028ce52b0453e2ddfaea450902a16b9e7eab64748e382c62187fea748e","observation_id":"21c83659-5f2d-4b0d-815c-58825c68a30d","resolution":{"observed_at":"2026-08-01T02:48:10.458568Z","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":"2026-08-01T02:48:10.462181Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.462181Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:07a28d90a775b5f12dc446efb10098e0a80e2a4069a32a56160773ccb77f9df5","observation_id":"d89dce61-ee55-4d6c-9e5b-407c20f97794","resolution":{"observed_at":"2026-08-01T02:48:10.462181Z","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":"2026-08-01T02:48:10.465051Z","title":"Hansen, Hao Su, and Xiaolong Wang","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.465051Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:54000c921af3bd1fd2ee72e7a6c777e0b508c1d43eb6dc9a49f295ac11046df0","observation_id":"a8931664-693e-4961-8152-cafd8182ef84","resolution":{"observed_at":"2026-08-01T02:48:10.465051Z","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":"2026-08-01T02:48:10.467699Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.467699Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:240ff7f3f4335873a44602dd667988b0cb6c3004cb3cc5d82e654d1dd296f8c5","observation_id":"69684f42-4a05-4a4b-9d0d-672b44bde08d","resolution":{"observed_at":"2026-08-01T02:48:10.467699Z","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":"2026-08-13T07:57:56.087944Z","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":"2026-08-01T02:48:10.470456Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.470456Z"},"links":{"cited_paper":"/paper/2110.06169","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:ad53989582c96dd5dac9d7bd75b8a2e951ab5cf01e5e1cd287916eb9b36671d2","observation_id":"a1608653-4660-4f8f-9e48-e651c7a179a5","resolution":{"observed_at":"2026-08-01T02:48:10.470456Z","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":"2026-08-01T02:48:10.473599Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.473599Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:5e1f6ae2d3b24ce3bde1e132a0a7b8ce25686d2bb6802a4b2ec47b76f2f93dff","observation_id":"1ffad5fa-23fb-4b7d-b9ee-47b127a83e33","resolution":{"observed_at":"2026-08-01T02:48:10.473599Z","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":"2026-08-01T02:48:10.476994Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.476994Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:e8f63b9ef713799fd83282073af2907a98d1074e482aeb9451f59f4fb720cefa","observation_id":"5eec91ee-eb03-4e7b-873f-106992e09e4a","resolution":{"observed_at":"2026-08-01T02:48:10.476994Z","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":"2026-08-01T02:48:10.479655Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.479655Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:f5439268e70bdf29b58aee198beac6e77f6ce64ca42593198d088d66ccd59ca8","observation_id":"dcf36c29-ea1c-4292-9f5b-8ad5d447f1ba","resolution":{"observed_at":"2026-08-01T02:48:10.479655Z","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":"2026-08-01T02:48:10.485437Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.485437Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:f47aa14713f5cbdddbe499de8da52a06677576cee416232192615c40a5da2be7","observation_id":"ed124e3f-fdc5-4282-80c6-9f91b7c1542c","resolution":{"observed_at":"2026-08-01T02:48:10.485437Z","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":"2026-08-01T02:48:10.491383Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.491383Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:fab6aca3c15c88f69fb4a19c826cbc1719d6e66d41c9da9a9f6cfba9b38f7e99","observation_id":"93eded8b-5599-4446-b7d3-e6ccf390a305","resolution":{"observed_at":"2026-08-01T02:48:10.491383Z","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":"2026-08-01T02:48:10.493981Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.493981Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:989f1a8f57ae3c17b914531fc6e2a9476a83a857b0ba8de2d6a267f7f1f2eda4","observation_id":"4fbebd80-8a34-4442-9633-c46fe0fefaad","resolution":{"observed_at":"2026-08-01T02:48:10.493981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.07278","last_updated":"2026-05-08T05:43:33Z","snapshot_observed_at":"2026-08-01T00:55:28.214005Z","submitted_at":"2026-05-08T05:43:33Z","title":"Predictive but Not Plannable: RC-aux for Latent World Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.07278","snapshot_observed_at":"2026-08-01T02:48:10.488308Z","title":"arXiv:2605.07278 [cs.LG]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.488308Z"},"links":{"cited_paper":"/paper/2605.07278","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:3002c33aba66c583d7d60ca7b4b6ea12d2f2f12e32fe27860851e7eb47603de9","observation_id":"030bc88b-df2a-4f01-9336-072953f24d94","resolution":{"observed_at":"2026-08-01T02:48:10.488308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.09311","last_updated":"2026-06-08T10:16:59Z","snapshot_observed_at":"2026-07-06T23:48:39.574979Z","submitted_at":"2026-06-08T10:16:59Z","title":"FF-JEPA: Long-Horizon Planning in World Models with Latent Planners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.09311","snapshot_observed_at":"2026-08-01T02:48:10.499851Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.499851Z"},"links":{"cited_paper":"/paper/2606.09311","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:0161046d1feaf167bc23c58b9d9fd3a9148a880ca6d900ef7cb113451f2cc888","observation_id":"1ed7f98e-77b1-4611-a4dc-556d50a3b476","resolution":{"observed_at":"2026-08-01T02:48:10.499851Z","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":"2026-08-01T02:48:10.503129Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.503129Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:ee4cd1e62653f38cf27079d5eda355117ad910bbdadc329618af99b499015249","observation_id":"dafb25e0-afd2-4e8c-bf0f-61ed00304cb5","resolution":{"observed_at":"2026-08-01T02:48:10.503129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.19312","last_updated":"2026-06-03T18:50:40Z","snapshot_observed_at":"2026-08-15T13:44:41.952181Z","submitted_at":"2026-03-13T19:48:14Z","title":"LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.19312","snapshot_observed_at":"2026-08-01T02:48:10.496627Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.496627Z"},"links":{"cited_paper":"/paper/2603.19312","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:1187105227b1589808f16e498c2939d52efb2fe9b7906166c6b83b49f8875925","observation_id":"66e034be-4aac-492f-9700-fd600b8c23d0","resolution":{"observed_at":"2026-08-01T02:48:10.496627Z","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":"2026-08-01T02:48:10.512208Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.512208Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:d9e252e8600ea5c50cd0ef3817c0610109bdb6f748ad5133581cc9b80f9d5809","observation_id":"c54b20b0-bf44-473c-bcaf-61696c34feab","resolution":{"observed_at":"2026-08-01T02:48:10.512208Z","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":"2026-08-01T02:48:10.515150Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.515150Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:9cadffe46022a6d5f6b1804e134d165a40fe56f80d6c2c895673de32078ffda1","observation_id":"523fe716-2416-4608-8299-483db48773a9","resolution":{"observed_at":"2026-08-01T02:48:10.515150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.31111","last_updated":"2026-05-29T10:23:48Z","snapshot_observed_at":"2026-08-13T18:00:30.405238Z","submitted_at":"2026-05-29T10:23:48Z","title":"Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.31111","snapshot_observed_at":"2026-08-01T02:48:10.517617Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.517617Z"},"links":{"cited_paper":"/paper/2605.31111","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:ead278fd2b4b11ec5d8f9bd4786d7111eb069a993fa2703475fe49c7bbfd1a7e","observation_id":"4adaf595-8bf5-424a-a453-08c5c3533767","resolution":{"observed_at":"2026-08-01T02:48:10.517617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.11389","last_updated":"2026-05-28T17:57:16Z","snapshot_observed_at":"2026-08-16T11:41:15.836522Z","submitted_at":"2026-02-11T21:47:26Z","title":"Causal-JEPA: Learning World Models through Object-Level Latent Masking","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.11389","snapshot_observed_at":"2026-08-01T02:48:10.509340Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.509340Z"},"links":{"cited_paper":"/paper/2602.11389","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:916ae59c4cf2e534547d47e4e9d5b67c26a4932f6561e0df84182a711c73f18b","observation_id":"14b7fd87-23bb-4293-b7e5-15707db171e6","resolution":{"observed_at":"2026-08-01T02:48:10.509340Z","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":"2026-08-01T02:48:10.523452Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.523452Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:3388e45a3e577e8eda50b28b27c5acecd2b9a491befe7086fa4b58db61e93a42","observation_id":"673908a1-69bf-49a6-992e-24647ee31526","resolution":{"observed_at":"2026-08-01T02:48:10.523452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.32026","last_updated":"2026-06-30T17:53:48Z","snapshot_observed_at":"2026-08-03T07:19:32.957397Z","submitted_at":"2026-06-30T17:53:48Z","title":"AdaJEPA: An Adaptive Latent World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.32026","snapshot_observed_at":"2026-08-01T02:48:10.526056Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.526056Z"},"links":{"cited_paper":"/paper/2606.32026","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:210052bc740d3612afe621b3142297b81c2430da60551cf68da8466958c8c4c1","observation_id":"e9a1e0fe-1de1-482e-95a8-fa88606b84ca","resolution":{"observed_at":"2026-08-01T02:48:10.526056Z","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":"2026-08-01T02:48:10.528758Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.528758Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:3d015299dccbdfcecd2d3465c6e211890b8d23c1e7ce3c499d035942e1690a7a","observation_id":"8245a72e-8fe0-4239-bc50-6ff7a18f1aa3","resolution":{"observed_at":"2026-08-01T02:48:10.528758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-08-14T18:53:38.574749Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-01T02:48:10.520377Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.520377Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:ffd7925ee50eaacec53d15b07842cbeea174ec5e767b822a00379291c8fb688d","observation_id":"9e2d2dad-4084-47d8-96d0-e3863bbb4b7d","resolution":{"observed_at":"2026-08-01T02:48:10.520377Z","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":"2026-08-01T02:48:10.534061Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.534061Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:75981ea777b26975934b35bf87d2e68764ee8941f8a6adb645280203eb04e37d","observation_id":"4741ab4b-dd20-4340-8aac-1bdd8a8fb6d7","resolution":{"observed_at":"2026-08-01T02:48:10.534061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04983","last_updated":"2025-02-01T02:40:49Z","snapshot_observed_at":"2026-08-13T16:10:49.002039Z","submitted_at":"2024-11-07T18:54:37Z","title":"DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04983","snapshot_observed_at":"2026-08-01T02:48:10.536741Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.536741Z"},"links":{"cited_paper":"/paper/2411.04983","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:a1c81c0aa4ce70eaf42466d4d83817c6718037b7bd424d8cdeb9dae57ebab912","observation_id":"97d5b613-a993-42a2-a9ab-dda355e89c26","resolution":{"observed_at":"2026-08-01T02:48:10.536741Z","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":"2026-08-01T02:48:10.539755Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.539755Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:e0f421d865c2aa65073a35960f966b67e7ce69bfa121441f71623da3f0a6389a","observation_id":"732a9850-758d-4b56-9273-e319542207a3","resolution":{"observed_at":"2026-08-01T02:48:10.539755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.03208","last_updated":"2026-06-16T20:46:31Z","snapshot_observed_at":"2026-08-15T22:09:58.893475Z","submitted_at":"2026-04-03T17:32:36Z","title":"Hierarchical Planning with Latent World Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.03208","snapshot_observed_at":"2026-08-01T02:48:10.531262Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.531262Z"},"links":{"cited_paper":"/paper/2604.03208","citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:a90faf7f8b684c421bafc04b781b0d11a0877f417ca9084e2e12daa4e7d3ddd7","observation_id":"921351e6-67a3-454a-a6a5-c1b3f9f4173d","resolution":{"observed_at":"2026-08-01T02:48:10.531262Z","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":"2026-08-01T02:48:10.452527Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.452527Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:c959224acb1dd7f4fb7158d377e5b95a77dc8568d8a04854dc7b84bb03ecd915","observation_id":"38e9afcf-450c-43b1-846e-fb8ad5ff1ddd","resolution":{"observed_at":"2026-08-01T02:48:10.452527Z","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":"2026-08-01T02:48:10.506179Z","title":"Advances in Neural Information Processing Systems","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.506179Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:8ade2583972c932a1bd134897a55f7eae0c69f83adcafa2c785a16f4550b7307","observation_id":"f0f27d23-e2f2-4ab6-9035-e9ec11dd054b","resolution":{"observed_at":"2026-08-01T02:48:10.506179Z","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":"2026-08-01T02:48:10.482371Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control","version":2},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-01T02:48:10.482371Z"},"links":{"citing_paper":"/paper/2607.25337"},"observation_digest":"sha256:7ac266f1ea16585efff3a3091c3bce0d0cbef3c1d6ef8400a5947dab2f8fe177","observation_id":"3446219c-678e-4f47-bf8e-3aa2a01d1f84","resolution":{"observed_at":"2026-08-01T02:48:10.482371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.25337","last_updated":"2026-07-29T10:22:25Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T10:19:04.627555Z","submitted_at":"2026-07-28T06:38:16Z","title":"Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":34,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":34},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2607.25337."}