{"as_of":"2026-08-15T10:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ee679b813a741be4dd6aa9784057b8d86478d337cd46d5d4f00e67961dba957","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:26:24.676724Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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":"2026-05-22T07:46:20.289421Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2507.16139","doi":"10.48550/arxiv.2507.16139","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.16139","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Equivariant goal conditioned contrastive reinforcement learning","venue":"ArXiv.org","work_id":"8c497af0-ff78-48ac-9368-e949ca02b45a","year":2025},"citing_paper":{"arxiv_id":"2605.22711","last_updated":"2026-05-21T16:50:26Z","snapshot_observed_at":"2026-07-06T23:32:59.663926Z","submitted_at":"2026-05-21T16:50:26Z","title":"Abstraction for Offline Goal-Conditioned Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-22T07:46:20.289421Z"},"links":{"cited_paper":"/paper/2507.16139","citing_paper":"/paper/2605.22711"},"observation_digest":"sha256:d08d17664ca29e63a7194de94469e377bb7c437107340125ddd7284759b17c7f","observation_id":"1c76bcec-6df0-4551-8b3e-3f1ad8010346","resolution":{"observed_at":"2026-05-22T07:51:15.297560Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-30T11:55:15.336921+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-30T11:55:15.336921+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.16139/citation-record","integrity":"/paper/2507.16139/integrity","json":"/paper/2507.16139/citation-record.json","paper":"/paper/2507.16139"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.06070","last_updated":"2018-10-09T23:19:52Z","snapshot_observed_at":"2026-08-14T19:45:07.867570Z","submitted_at":"2018-02-16T18:57:57Z","title":"Diversity is All You Need: Learning Skills without a Reward Function","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.06070","snapshot_observed_at":"2026-08-06T15:26:24.460174Z","title":"Eysenbach, A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.460174Z"},"links":{"cited_paper":"/paper/1802.06070","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:65ad6275ad4c61d67e518757764d52ff11bb707c0dc7ad75c11fd6d38deeccac","observation_id":"4a7095cd-3e2b-427a-8926-301fe21f0427","resolution":{"observed_at":"2026-08-06T15:26:24.460174Z","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":"2026-08-06T15:26:25.802362Z","title":null,"venue":null,"work_id":"12b334a8-4ae7-49d7-9761-95e92940ee06","year":2019},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.465248Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:c1fa875fcdb8325bb223515d6b7f3a161b789cec315f891859b5fa6e94c8a6dc","observation_id":"db41bb04-d042-4955-8e39-213eba53f3ac","resolution":{"observed_at":"2026-08-06T15:26:25.807068Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.786479Z","title":null,"venue":null,"work_id":"4d20fb8b-2a16-4be5-8a22-8ea379a9a49e","year":2024},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.469932Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:d36b0f62be83810ff6801c56261a690bf743c8fe74c8fb398b612fc76254ecc2","observation_id":"48dc9167-0d0c-431c-8fb4-a16d47639661","resolution":{"observed_at":"2026-08-06T15:26:25.790890Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.772317Z","title":"Zheng, J","venue":null,"work_id":"74ece31c-0d01-4836-a388-4b6d1d93463f","year":2025},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.474979Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:cc901c5f66af0054402dac56d2d7c3104ef397c654c895173b754041b17358f3","observation_id":"1b2ca106-0b30-4581-9846-2312e278d44a","resolution":{"observed_at":"2026-08-06T15:26:25.776457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.758048Z","title":"Eysenbach, T","venue":null,"work_id":"35f4fcf4-8fdc-425d-a9dc-ed69de9dabe5","year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.480499Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:51ecadfe73590bcaa0f2a38cb0987027e4263a9b800b5ab6f6ffc62c98e5196a","observation_id":"7952cd78-f495-44d7-89e5-17480088ccc3","resolution":{"observed_at":"2026-08-06T15:26:25.762114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.743986Z","title":null,"venue":null,"work_id":"b9dba12a-c60b-4447-acd6-d790486e6ce7","year":2023},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.485084Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:4a18befe070da37a7f1424362edd732061f163a1bc9dd35c77596c2482715db5","observation_id":"968e67bc-83b9-48d9-8db7-23af1cb1cd6b","resolution":{"observed_at":"2026-08-06T15:26:25.748443Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.729833Z","title":"Huang, D","venue":null,"work_id":"dadb71bd-029e-4218-af2f-6d777225bb49","year":2024},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.490265Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:5032258d38f85786e0099416f6aa69f3c21c22f5e2aadcdefbee8b0996ad61ca","observation_id":"8fb27ab2-dc8c-4f39-8059-56b4c72e8c04","resolution":{"observed_at":"2026-08-06T15:26:25.734162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.715303Z","title":null,"venue":null,"work_id":"24c08ddf-3d03-413a-9829-4ac6a13fc82e","year":2024},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.494765Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:a857e339d85b9f5f32eabedc75ce536377e49a3dc1af8db7f7d17230c8262f32","observation_id":"b92ddae3-d7d4-43de-bf25-d65753d6df26","resolution":{"observed_at":"2026-08-06T15:26:25.719866Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.699398Z","title":null,"venue":null,"work_id":"704bc2f4-cb1b-424b-a45c-1e0f61625711","year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.499754Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:45f5f1adba6b64b46146e13c257c1e4bd58e9dc30a3d1ac91e0b73aca4898f9e","observation_id":"3c88463c-afd2-44f2-b7f2-2970c5599af5","resolution":{"observed_at":"2026-08-06T15:26:25.703569Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.08299","last_updated":"2022-09-02T10:46:40Z","snapshot_observed_at":"2026-08-13T16:55:37.923698Z","submitted_at":"2022-01-20T17:06:42Z","title":"Goal-Conditioned Reinforcement Learning: Problems and Solutions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.08299","snapshot_observed_at":"2026-08-06T15:26:24.504219Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.504219Z"},"links":{"cited_paper":"/paper/2201.08299","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:a1f75c9b7967c920696b1b12527f25b847f3f13c67e84324ffd47fa439739ac9","observation_id":"b1ecc38e-6980-4d53-9207-fa812b98ce3b","resolution":{"observed_at":"2026-08-06T15:26:24.504219Z","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":"2026-08-06T15:26:25.684594Z","title":"Chane-Sane, C","venue":null,"work_id":"806ae6eb-4300-4b5f-997e-65b0b5dcf14b","year":2021},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.509415Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:e253e8f2e73b2eabe68ac753b94027109c74cd2bcc1a3ce02e97fd2510895e94","observation_id":"f203818d-0603-4979-9086-7a1c23e4c9f1","resolution":{"observed_at":"2026-08-06T15:26:25.689141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.668380Z","title":"Steccanella and A","venue":null,"work_id":"bc60bdb6-e06c-46ef-a6f6-7e2d469678de","year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.514608Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:a2be91746e31c6c60d24d050d870416df12c3161b0f4c53850528550ee95d9c8","observation_id":"e95b2a23-6be5-4d36-8e2c-6545e975c08a","resolution":{"observed_at":"2026-08-06T15:26:25.673691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.01495","last_updated":"2018-02-23T10:04:20Z","snapshot_observed_at":"2026-08-14T21:15:56.405766Z","submitted_at":"2017-07-05T17:55:53Z","title":"Hindsight Experience Replay","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.01495","snapshot_observed_at":"2026-08-06T15:26:24.519221Z","title":"Andrychowicz, F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.519221Z"},"links":{"cited_paper":"/paper/1707.01495","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:9be4630dcbde37c3cc159031e3f2e6c8893d5620fe27b3c35f7fbb56d7e44f40","observation_id":"0ee43333-49ca-4bf9-bc08-bcdb0f4299a4","resolution":{"observed_at":"2026-08-06T15:26:24.519221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.07866","last_updated":"2019-07-15T06:44:33Z","snapshot_observed_at":"2026-08-14T16:29:56.441898Z","submitted_at":"2019-05-20T04:17:03Z","title":"Reinforcement Learning without Ground-Truth State","version":2},"cited_work":{"arxiv_id":"1905.07866","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.07866","snapshot_observed_at":"2026-08-06T15:26:25.283465Z","title":"Reinforcement Learning without Ground-Truth State","venue":"cs.RO","work_id":"a2f050ea-ab07-465b-ad42-83226dca4c4c","year":2019},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.524474Z"},"links":{"cited_paper":"/paper/1905.07866","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:79d0ca43267e7481ba53b733fbaff111728f91d13614e67329b5331ebea9f9e1","observation_id":"29378dc2-31fa-4e31-8a90-f21462731cde","resolution":{"observed_at":"2026-08-06T15:26:25.288562Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.05838","last_updated":"2020-05-27T06:47:07Z","snapshot_observed_at":"2026-08-15T00:43:25.534448Z","submitted_at":"2019-06-13T17:39:52Z","title":"Goal-conditioned Imitation Learning","version":3},"cited_work":{"arxiv_id":"1906.05838","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.05838","snapshot_observed_at":"2026-08-06T15:26:25.258537Z","title":"Goal-conditioned Imitation Learning","venue":"cs.LG","work_id":"d45c01ba-435b-4a4e-88cc-54c0a407d88f","year":2019},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.529647Z"},"links":{"cited_paper":"/paper/1906.05838","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:d34e1272def518715f967a3fe767d1a8a7758d528cae3347362b5d74d076320e","observation_id":"28e73f16-2ebf-49cd-8274-140e1dd53103","resolution":{"observed_at":"2026-08-06T15:26:25.266153Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.01973","last_updated":"2019-12-20T05:03:10Z","snapshot_observed_at":"2026-08-14T17:07:01.367521Z","submitted_at":"2019-03-05T18:36:42Z","title":"Learning Latent Plans from Play","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.01973","snapshot_observed_at":"2026-08-06T15:26:24.534330Z","title":"Lynch, M","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.534330Z"},"links":{"cited_paper":"/paper/1903.01973","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:538ff36c80b63da4ecd76e0caf40c33cd63b21cbd81133f1a5e29651421dc769","observation_id":"6ec8fa24-2d93-41f8-8694-34bea6fd4bdc","resolution":{"observed_at":"2026-08-06T15:26:24.534330Z","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":"2026-08-06T15:26:24.538792Z","title":"Ghosh, A","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.538792Z"},"links":{"cited_paper":"/paper/1912.06088","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:df6c243a248e9eb54f0383c677c2185fcd08e5f33b9043f761b164b416f12cd9","observation_id":"43cca234-29f1-4921-8ad4-e0236c4c209a","resolution":{"observed_at":"2026-08-06T15:26:24.538792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.02877","last_updated":"2021-09-03T22:15:10Z","snapshot_observed_at":"2026-08-07T04:02:10.973662Z","submitted_at":"2019-12-05T21:13:36Z","title":"Training Agents using Upside-Down Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.02877","snapshot_observed_at":"2026-08-06T15:26:24.543536Z","title":null,"venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.543536Z"},"links":{"cited_paper":"/paper/1912.02877","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:1608fe37826c7ca69e71cd37e64ea56c31abdb39c6f1667a0f2a169b799ee953","observation_id":"715459ac-bfe6-476e-b793-aea24c7a4984","resolution":{"observed_at":"2026-08-06T15:26:24.543536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.08909","last_updated":"2021-04-19T18:33:47Z","snapshot_observed_at":"2026-08-11T03:22:05.879340Z","submitted_at":"2020-11-17T19:58:56Z","title":"C-Learning: Learning to Achieve Goals via Recursive Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.08909","snapshot_observed_at":"2026-08-06T15:26:24.548727Z","title":"Eysenbach, R","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.548727Z"},"links":{"cited_paper":"/paper/2011.08909","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:6f5e9551955622b6e9f57021ae57aed694cf2dc041f6d936441cfc8384628bee","observation_id":"ef2efce0-091c-4477-86b0-e7611fc75cc7","resolution":{"observed_at":"2026-08-06T15:26:24.548727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03346","last_updated":"2025-06-10T04:54:06Z","snapshot_observed_at":"2026-08-14T09:58:19.846286Z","submitted_at":"2023-06-06T01:36:56Z","title":"Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.03346","snapshot_observed_at":"2026-08-06T15:26:24.552947Z","title":"Zheng, B","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.552947Z"},"links":{"cited_paper":"/paper/2306.03346","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:07cfcb554f2c521e865af05cfe8369ccec6e3d5277e57bf0b31f830587210903","observation_id":"bc2d8b49-4357-4c07-ac1d-74c3c0abd6ee","resolution":{"observed_at":"2026-08-06T15:26:24.552947Z","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":"2026-08-06T15:26:24.557303Z","title":"Zheng, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.557303Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:7161f2a42b84a82dc8d22cd5d6e179ddf6320bfbcbf53d6c765063680c25ae89","observation_id":"8507eed7-1522-4aef-8580-faea6e6e084d","resolution":{"observed_at":"2026-08-06T15:26:24.557303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05804","last_updated":"2024-08-11T15:49:00Z","snapshot_observed_at":"2026-08-14T14:03:04.694518Z","submitted_at":"2024-08-11T15:49:00Z","title":"A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05804","snapshot_observed_at":"2026-08-06T15:26:24.562116Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.562116Z"},"links":{"cited_paper":"/paper/2408.05804","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:e8125952059a7e8f9129a91bda4a9a76a0ffbe760ec4f4f67d15126f9c726d8a","observation_id":"10ce83fd-e7cf-4ee8-8715-835089961f21","resolution":{"observed_at":"2026-08-06T15:26:24.562116Z","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":"2026-08-06T15:26:24.566332Z","title":"Bortkiewicz, W","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.566332Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:9bb9d27a501543e9ede429d4a41f8a523be321c0770c995db5a527cf086df8b8","observation_id":"52c6b7cd-b7b1-48d9-b6bf-f2bab64eb506","resolution":{"observed_at":"2026-08-06T15:26:24.566332Z","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":"2026-08-06T15:26:25.653145Z","title":null,"venue":null,"work_id":"7adc4d7a-b8e0-43d2-9dd1-937d211593ab","year":2021},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.570690Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:9cfd433933559319e31b3ec097605ab11d53e6d7107dd19522f3322f693d05c1","observation_id":"62ed7fb8-e7ab-46f2-b26e-d48cbdbb8019","resolution":{"observed_at":"2026-08-06T15:26:25.658205Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09231","last_updated":"2023-02-10T15:09:32Z","snapshot_observed_at":"2026-08-13T13:40:46.703345Z","submitted_at":"2022-11-16T21:51:55Z","title":"The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09231","snapshot_observed_at":"2026-08-06T15:26:24.574906Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.574906Z"},"links":{"cited_paper":"/paper/2211.09231","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:b188e84336fa7f952683f2b13ada12e355df340661829745c2e5a0453f9b6489","observation_id":"7d85e69e-af6a-4f68-88f7-e071a3a4426d","resolution":{"observed_at":"2026-08-06T15:26:24.574906Z","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":"2026-08-06T15:26:25.637163Z","title":"Weiler and G","venue":null,"work_id":"f91696c8-71cf-448f-bf45-ab229771df3b","year":2019},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.578966Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:649ca09e3c9c8d7cf9c379a51c0957b62425d6d522a0f917c1570bd896c1c892","observation_id":"9c049648-c69c-433e-9998-8dbc34deca9a","resolution":{"observed_at":"2026-08-06T15:26:25.642626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.620677Z","title":"Jenner and M","venue":null,"work_id":"bbcdf534-8c10-407e-9e76-b8b8b4ef4554","year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.583364Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:8273a561c5abc9dc3c282f76e36894611094a9ee8b29a592a8f95cd1bfa7862d","observation_id":"955e71e3-6cd0-4530-b44b-242b5f590971","resolution":{"observed_at":"2026-08-06T15:26:25.625941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.605018Z","title":null,"venue":null,"work_id":"9ee17b1e-aa5a-49c1-a911-b02c35b12ff1","year":2023},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.588078Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:dc0108c1e4d70094500ba5c0ea9d8b957d9b11a64561c2016dccfc0023da66d7","observation_id":"217f29c6-d18a-4ceb-8836-0afe181347ad","resolution":{"observed_at":"2026-08-06T15:26:25.609377Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13961","last_updated":"2024-06-20T03:02:49Z","snapshot_observed_at":"2026-08-14T02:17:14.194642Z","submitted_at":"2024-06-20T03:02:49Z","title":"Equivariant Offline Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13961","snapshot_observed_at":"2026-08-06T15:26:24.592501Z","title":"Tangri, O","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.592501Z"},"links":{"cited_paper":"/paper/2406.13961","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:c9a3fbfefed3986b45437d94e89293afdb8d5f0bb927d6a94d6c36bfce06f97b","observation_id":"39278247-5c31-458c-82ef-909566b93642","resolution":{"observed_at":"2026-08-06T15:26:24.592501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.00030","last_updated":"2023-03-07T02:29:59Z","snapshot_observed_at":"2026-08-11T15:42:16.204049Z","submitted_at":"2022-09-30T18:14:07Z","title":"VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.00030","snapshot_observed_at":"2026-08-06T15:26:24.598070Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.598070Z"},"links":{"cited_paper":"/paper/2210.00030","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:a2b385a902ed9105f6be8fd906cf494bc7f242e98ad44cf94ff9d15439f99cb6","observation_id":"4b9a842b-89bd-456a-a128-3afc5f9c33f2","resolution":{"observed_at":"2026-08-06T15:26:24.598070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15567","last_updated":"2024-05-26T17:44:52Z","snapshot_observed_at":"2026-08-13T04:11:52.975109Z","submitted_at":"2024-02-23T19:09:10Z","title":"Foundation Policies with Hilbert Representations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15567","snapshot_observed_at":"2026-08-06T15:26:24.603280Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.603280Z"},"links":{"cited_paper":"/paper/2402.15567","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:708767dd8c05e319c7a0b234a662f79764c25483d409791ff4cb0b2a8f1a2844","observation_id":"8dcf8640-451f-403d-8178-e13e7e7ff3d4","resolution":{"observed_at":"2026-08-06T15:26:24.603280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T15:26:24.607772Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.607772Z"},"links":{"cited_paper":"/paper/2203.12601","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:21ffd44073c4927da9bf489b8bcb9627b1fae813f8e4045b331b98bf43536604","observation_id":"dc9deda4-cc91-4c22-811e-db4153d9eeb8","resolution":{"observed_at":"2026-08-06T15:26:24.607772Z","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":"2026-08-06T15:26:25.588839Z","title":null,"venue":null,"work_id":"60d65f77-f84f-436e-bc9e-8957ee2fb6be","year":null},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.612542Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:d0619ed73555f58228a1cc54a5e6927682be3728cff5ba7835db6896ec70f984","observation_id":"d34b34b1-3075-40c5-ad71-ee95960fb1be","resolution":{"observed_at":"2026-08-06T15:26:25.593837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-06T15:26:24.623363Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.623363Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:c768aa94800f4edd9fea0f43540645e897241832246a399139029b2d6cd2c857","observation_id":"d9589dbb-6fdd-4dfe-9e11-fb9204823248","resolution":{"observed_at":"2026-08-06T15:26:24.623363Z","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":"2026-08-06T15:26:25.573553Z","title":null,"venue":null,"work_id":"756f3c67-50f9-4b67-b449-4cb4824e9278","year":null},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.627989Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:7bfc193f89a8b7cf45bc64ca969a2861daa78cb353fe882b2686b0d03c9b3734","observation_id":"bb872a37-e0d8-4491-8faf-5f70eb52e741","resolution":{"observed_at":"2026-08-06T15:26:25.578420Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.01812","last_updated":"2018-09-06T04:11:46Z","snapshot_observed_at":"2026-08-14T18:32:23.239632Z","submitted_at":"2018-09-06T04:11:46Z","title":"Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.01812","snapshot_observed_at":"2026-08-06T15:26:24.637180Z","title":"Ma and M","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.637180Z"},"links":{"cited_paper":"/paper/1809.01812","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:991221bdf7c6897d1c814072d3ef3658b7c0874a2e99b5f91c3502e55c637377","observation_id":"e3118fc7-dd66-4b5d-8db8-6ebe6d91fb2d","resolution":{"observed_at":"2026-08-06T15:26:24.637180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T15:26:24.641763Z","title":"Haarnoja, A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.641763Z"},"links":{"cited_paper":"/paper/1801.01290","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:9d025d2f5eef77c5b8f1119f5d209e4a95015bf4b2372507b69eb9eed6d6f92c","observation_id":"5148ca85-3a3c-4faa-9921-ec8a0f1f0adb","resolution":{"observed_at":"2026-08-06T15:26:24.641763Z","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":"2026-08-06T15:26:25.557180Z","title":"Fujimoto and S","venue":null,"work_id":"b5381b7f-8977-4559-81ef-840cac84580f","year":2021},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.646337Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:1503d18e9af945f24cc565e9f02f364f9dedbc57a75b137be4db10c591f900e5","observation_id":"78cd3923-9b55-404b-8cab-d856f7bf68d8","resolution":{"observed_at":"2026-08-06T15:26:25.562973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.416478Z","title":null,"venue":null,"work_id":"6a981b26-e2fb-4813-a070-7bea5fb52b42","year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.650366Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:4e762348d311365d71244e92a3d45238a911880b38eee48297cc61e07ddb6470","observation_id":"ffc9d91b-0846-4cbf-b288-a58b8be2f5bc","resolution":{"observed_at":"2026-08-06T15:26:25.545241Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.400885Z","title":"Todorov, T","venue":null,"work_id":"aa39096a-8b5e-406c-9189-ea444f97ac7f","year":2012},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.654502Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:a5737bc115bba57647ad080c2fd3eb53c6f941fef819f233c530c8b7dad2b2cc","observation_id":"1cf2d722-74d3-4c7e-ba67-59910c8296ad","resolution":{"observed_at":"2026-08-06T15:26:25.405876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.10897","last_updated":"2021-06-14T18:45:16Z","snapshot_observed_at":"2026-08-14T00:30:45.171423Z","submitted_at":"2019-10-24T03:19:46Z","title":"Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.10897","snapshot_observed_at":"2026-08-06T15:26:24.663113Z","title":null,"venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.663113Z"},"links":{"cited_paper":"/paper/1910.10897","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:0115e1093ae8e8bb5c9c2b6ed7dc59dd2c5057cfdcfe5ec232a2f53ea8589566","observation_id":"38595e7e-4b50-4c39-9c3b-64849ca100ca","resolution":{"observed_at":"2026-08-06T15:26:24.663113Z","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":"2026-08-06T15:26:25.382753Z","title":null,"venue":null,"work_id":"853d9b4c-bba0-4798-9393-aecf9ea965cc","year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.667740Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:146b3b26f4ad466b87f0275cbdd0998ee0f7b97ca9ea75724143724136439684","observation_id":"0d966abc-2ca1-4961-959b-94324f499ad2","resolution":{"observed_at":"2026-08-06T15:26:25.387699Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.364498Z","title":null,"venue":null,"work_id":"6f769b5e-dc15-4f5c-b8f1-97795b61ffbb","year":2023},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.672335Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:57ef484b5e886fc67aabe659c0758724f28f52900798a84155228904a6d7eb84","observation_id":"f0b4e5fa-f14e-4f34-b96d-600d61d4f5ba","resolution":{"observed_at":"2026-08-06T15:26:25.368916Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:26:25.347155Z","title":null,"venue":null,"work_id":"fcc04a0e-ef84-4734-84f8-33f1fa3bbf0a","year":2022},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.676724Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:960c3c7b87ba3fea3d35564e8e7fb93f2f18d094720bf4adb6ff252280a20d0d","observation_id":"3b1c168d-1ba2-4c4c-ae7a-6b3efb4c56b7","resolution":{"observed_at":"2026-08-06T15:26:25.353297Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.06670","last_updated":"2019-02-22T18:38:15Z","snapshot_observed_at":"2026-08-14T18:39:08.324821Z","submitted_at":"2018-08-20T19:52:51Z","title":"Learning deep representations by mutual information estimation and maximization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.06670","snapshot_observed_at":"2026-08-06T15:26:24.632343Z","title":"eprint: 1808.06670","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.632343Z"},"links":{"cited_paper":"/paper/1808.06670","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:d63151c1b35b025ac9a1429e4628b25b832cb4676ac2a383bed02fc22091b7d4","observation_id":"089a0a36-13ba-4690-b047-7ee9f5b00054","resolution":{"observed_at":"2026-08-06T15:26:24.632343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.11371","last_updated":"2022-06-30T21:57:41Z","snapshot_observed_at":"2026-08-13T19:31:07.826646Z","submitted_at":"2022-04-24T22:31:52Z","title":"Learning Symmetric Embeddings for Equivariant World Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.11371","snapshot_observed_at":"2026-08-06T15:26:24.618084Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.618084Z"},"links":{"cited_paper":"/paper/2204.11371","citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:6c89734e79d43199057386b1fe700426e8fb61762d4cce3b3f2330b038828ac0","observation_id":"7975a262-f971-4db7-977b-8791201b1a1e","resolution":{"observed_at":"2026-08-06T15:26:24.618084Z","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":"2026-08-06T15:26:24.658955Z","title":"doi:10.1109/IROS.2012.6386109","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning","version":1},"reference_index":5033,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.658955Z"},"links":{"citing_paper":"/paper/2507.16139"},"observation_digest":"sha256:8ac4ff230c401764e01a3aca2804a330041d7e195223b0329738c7078d726bc8","observation_id":"8ba31a97-6c7c-45ce-9e18-5ce3a87b9482","resolution":{"observed_at":"2026-08-06T15:26:24.658955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.16139","last_updated":"2025-07-22T01:13:45Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-15T09:57:16.575071Z","submitted_at":"2025-07-22T01:13:45Z","title":"Equivariant Goal Conditioned Contrastive Reinforcement Learning"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":2,"verified_fuzzy":9},"total_outbound_references":47},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2507.16139."}