{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RQXGNFVKS5UL6PLRLAY5E3KYJZ","short_pith_number":"pith:RQXGNFVK","canonical_record":{"source":{"id":"2410.17744","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T10:17:13Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1238740463d697105bdd62bc623bd27fa323b34f1ec1393cb640f5dea49147c1","abstract_canon_sha256":"5bd4a456f67345ac330d60ddb9408f069887879fa43f49c1ae6fe97d906f9adb"},"schema_version":"1.0"},"canonical_sha256":"8c2e6696aa9768bf3d715831d26d584e703871224fef74bebe7b928a05b669ab","source":{"kind":"arxiv","id":"2410.17744","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.17744","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.17744v2","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.17744","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"pith_short_12","alias_value":"RQXGNFVKS5UL","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"RQXGNFVKS5UL6PLR","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"RQXGNFVK","created_at":"2026-07-05T09:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RQXGNFVKS5UL6PLRLAY5E3KYJZ","target":"record","payload":{"canonical_record":{"source":{"id":"2410.17744","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T10:17:13Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1238740463d697105bdd62bc623bd27fa323b34f1ec1393cb640f5dea49147c1","abstract_canon_sha256":"5bd4a456f67345ac330d60ddb9408f069887879fa43f49c1ae6fe97d906f9adb"},"schema_version":"1.0"},"canonical_sha256":"8c2e6696aa9768bf3d715831d26d584e703871224fef74bebe7b928a05b669ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:30:22.786812Z","signature_b64":"8sYl2nrf09s0ar0dMHOOMCa9MbDAe41CrURaPJ3zTfv+23wLWVXE+SUaNszwvHnnJAoKlbORlKKs5GjRnLYQDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c2e6696aa9768bf3d715831d26d584e703871224fef74bebe7b928a05b669ab","last_reissued_at":"2026-07-05T09:30:22.786323Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:30:22.786323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.17744","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:30:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"06XRWjIMvGFpcoMNIseTa6wq7Yrpbp0/8rfnrfd7F7a1W5D5unus/0lxNniEmgmtgC3rZVjM4hyU0jTlDEwkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:31:30.943390Z"},"content_sha256":"f3bc410b3fe11e2534667a255c67dbaa8ce25ce203bf4ca03159a4de9bcb980c","schema_version":"1.0","event_id":"sha256:f3bc410b3fe11e2534667a255c67dbaa8ce25ce203bf4ca03159a4de9bcb980c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RQXGNFVKS5UL6PLRLAY5E3KYJZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Versatile Skills with Curriculum Masking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Deheng Ye, Shuai Li, Yao Tang, Zhihui Xie, Zichuan Lin","submitted_at":"2024-10-23T10:17:13Z","abstract_excerpt":"Masked prediction has emerged as a promising pretraining paradigm in offline reinforcement learning (RL) due to its versatile masking schemes, enabling flexible inference across various downstream tasks with a unified model. Despite the versatility of masked prediction, it remains unclear how to balance the learning of skills at different levels of complexity. To address this, we propose CurrMask, a curriculum masking pretraining paradigm for sequential decision making. Motivated by how humans learn by organizing knowledge in a curriculum, CurrMask adjusts its masking scheme during pretraining"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.17744","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.17744/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:30:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n1EGbKyYAjvmUWLWhSYUyu6iBSCIRDSAOo/KqNAwT5GmhIChnPwbAFIAOhfFDezh+xRhvURTbbwW0Nfx/CBwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T19:31:30.943872Z"},"content_sha256":"fd0e310111613047c0a4b832fd7deb2ac75a29e83bd91cfa8cb7d60c2c232e42","schema_version":"1.0","event_id":"sha256:fd0e310111613047c0a4b832fd7deb2ac75a29e83bd91cfa8cb7d60c2c232e42"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RQXGNFVKS5UL6PLRLAY5E3KYJZ/bundle.json","state_url":"https://pith.science/pith/RQXGNFVKS5UL6PLRLAY5E3KYJZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RQXGNFVKS5UL6PLRLAY5E3KYJZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T19:31:30Z","links":{"resolver":"https://pith.science/pith/RQXGNFVKS5UL6PLRLAY5E3KYJZ","bundle":"https://pith.science/pith/RQXGNFVKS5UL6PLRLAY5E3KYJZ/bundle.json","state":"https://pith.science/pith/RQXGNFVKS5UL6PLRLAY5E3KYJZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RQXGNFVKS5UL6PLRLAY5E3KYJZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RQXGNFVKS5UL6PLRLAY5E3KYJZ","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":"5bd4a456f67345ac330d60ddb9408f069887879fa43f49c1ae6fe97d906f9adb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T10:17:13Z","title_canon_sha256":"1238740463d697105bdd62bc623bd27fa323b34f1ec1393cb640f5dea49147c1"},"schema_version":"1.0","source":{"id":"2410.17744","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.17744","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.17744v2","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.17744","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"pith_short_12","alias_value":"RQXGNFVKS5UL","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"RQXGNFVKS5UL6PLR","created_at":"2026-07-05T09:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"RQXGNFVK","created_at":"2026-07-05T09:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:fd0e310111613047c0a4b832fd7deb2ac75a29e83bd91cfa8cb7d60c2c232e42","target":"graph","created_at":"2026-07-05T09:30:22Z","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/2410.17744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Masked prediction has emerged as a promising pretraining paradigm in offline reinforcement learning (RL) due to its versatile masking schemes, enabling flexible inference across various downstream tasks with a unified model. Despite the versatility of masked prediction, it remains unclear how to balance the learning of skills at different levels of complexity. To address this, we propose CurrMask, a curriculum masking pretraining paradigm for sequential decision making. Motivated by how humans learn by organizing knowledge in a curriculum, CurrMask adjusts its masking scheme during pretraining","authors_text":"Deheng Ye, Shuai Li, Yao Tang, Zhihui Xie, Zichuan Lin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T10:17:13Z","title":"Learning Versatile Skills with Curriculum Masking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.17744","kind":"arxiv","version":2},"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:f3bc410b3fe11e2534667a255c67dbaa8ce25ce203bf4ca03159a4de9bcb980c","target":"record","created_at":"2026-07-05T09:30:22Z","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":"5bd4a456f67345ac330d60ddb9408f069887879fa43f49c1ae6fe97d906f9adb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-23T10:17:13Z","title_canon_sha256":"1238740463d697105bdd62bc623bd27fa323b34f1ec1393cb640f5dea49147c1"},"schema_version":"1.0","source":{"id":"2410.17744","kind":"arxiv","version":2}},"canonical_sha256":"8c2e6696aa9768bf3d715831d26d584e703871224fef74bebe7b928a05b669ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c2e6696aa9768bf3d715831d26d584e703871224fef74bebe7b928a05b669ab","first_computed_at":"2026-07-05T09:30:22.786323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:30:22.786323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8sYl2nrf09s0ar0dMHOOMCa9MbDAe41CrURaPJ3zTfv+23wLWVXE+SUaNszwvHnnJAoKlbORlKKs5GjRnLYQDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:30:22.786812Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.17744","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3bc410b3fe11e2534667a255c67dbaa8ce25ce203bf4ca03159a4de9bcb980c","sha256:fd0e310111613047c0a4b832fd7deb2ac75a29e83bd91cfa8cb7d60c2c232e42"],"state_sha256":"0f66bfe35b1646835eea00ba963757e744a315b3ca3554d75f41d6bf61b0dc64"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/G8BE1ZS2uN/YQdwZ0OSfRI7aVSvyQGquPTBW9aZ4H1yDmn2zCnBp5F81gmxPn6sxps4plVRAWAUb65leNLtAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T19:31:30.950202Z","bundle_sha256":"a517837a4134ea8cddb0fda80a7b9897d9dccd608b5146b6469696527a676dc2"}}