{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YK4HF7U3KUKBILZ5CV6MTALTMO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0f8de36279cd5f9d2c15a15e275e809b366c5d02a08b4ec4ca6fef796094a8d3","cross_cats_sorted":["cs.AI","cs.CV","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-12T00:22:50Z","title_canon_sha256":"3be500e473da9a00041c808a5b925ceccc110196d96ce3e89f459f00d296536f"},"schema_version":"1.0","source":{"id":"2103.07013","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.07013","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"arxiv_version","alias_value":"2103.07013v1","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.07013","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_12","alias_value":"YK4HF7U3KUKB","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_16","alias_value":"YK4HF7U3KUKBILZ5","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_8","alias_value":"YK4HF7U3","created_at":"2026-07-05T02:22:27Z"}],"graph_snapshots":[{"event_id":"sha256:e33732b27a27e29521ff920b958350a90e22348d675cbc6c8fc7b023ab33614c","target":"graph","created_at":"2026-07-05T02:22:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2103.07013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We accelerate deep reinforcement learning-based training in visually complex 3D environments by two orders of magnitude over prior work, realizing end-to-end training speeds of over 19,000 frames of experience per second on a single GPU and up to 72,000 frames per second on a single eight-GPU machine. The key idea of our approach is to design a 3D renderer and embodied navigation simulator around the principle of \"batch simulation\": accepting and executing large batches of requests simultaneously. Beyond exposing large amounts of work at once, batch simulation allows implementations to amortiz","authors_text":"Aleksei Petrenko, Brennan Shacklett, Dhruv Batra, Erik Wijmans, Kayvon Fatahalian, Manolis Savva, Vladlen Koltun","cross_cats":["cs.AI","cs.CV","cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-12T00:22:50Z","title":"Large Batch Simulation for Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.07013","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0c0e8f7ef129bcc6e80be2722320921344b7db7b467f99c7b741d16b2cacccbf","target":"record","created_at":"2026-07-05T02:22:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"0f8de36279cd5f9d2c15a15e275e809b366c5d02a08b4ec4ca6fef796094a8d3","cross_cats_sorted":["cs.AI","cs.CV","cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-12T00:22:50Z","title_canon_sha256":"3be500e473da9a00041c808a5b925ceccc110196d96ce3e89f459f00d296536f"},"schema_version":"1.0","source":{"id":"2103.07013","kind":"arxiv","version":1}},"canonical_sha256":"c2b872fe9b5514142f3d157cc9817363b66db8a9615a56bd3c58aeaf268455bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2b872fe9b5514142f3d157cc9817363b66db8a9615a56bd3c58aeaf268455bb","first_computed_at":"2026-07-05T02:22:27.656637Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:22:27.656637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uuaLp7bjWwaDKKXVOJgqknnTWAHMyDDtRB+zC+/+2Sb6/8WC7KTcP+6YCZR1/KQsKxC8Cb5sjQq+V/buXnp0BA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:22:27.657038Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.07013","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c0e8f7ef129bcc6e80be2722320921344b7db7b467f99c7b741d16b2cacccbf","sha256:e33732b27a27e29521ff920b958350a90e22348d675cbc6c8fc7b023ab33614c"],"state_sha256":"0cb4ff86860f840dbc219c08477a1b35adf3e88abc1e1b08aeff012236dcc05f"}