{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WUYXRKRPTTT327XHRCTFPTXLGG","short_pith_number":"pith:WUYXRKRP","canonical_record":{"source":{"id":"2010.14664","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T23:02:35Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"8ae634b8f4ce002ea9c0ee15f002b4b021717141530de3b16b6d9991ea2f4aba","abstract_canon_sha256":"1b31cecafa853fdb99430b0268d2a6994bc97d67d875cf2e712a7154830e66aa"},"schema_version":"1.0"},"canonical_sha256":"b53178aa2f9ce7bd7ee788a657ceeb3194c0af7e031ac09f148a25adf2676bdb","source":{"kind":"arxiv","id":"2010.14664","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.14664","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"arxiv_version","alias_value":"2010.14664v2","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14664","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"pith_short_12","alias_value":"WUYXRKRPTTT3","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"pith_short_16","alias_value":"WUYXRKRPTTT327XH","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"pith_short_8","alias_value":"WUYXRKRP","created_at":"2026-07-05T01:54:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WUYXRKRPTTT327XHRCTFPTXLGG","target":"record","payload":{"canonical_record":{"source":{"id":"2010.14664","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T23:02:35Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"8ae634b8f4ce002ea9c0ee15f002b4b021717141530de3b16b6d9991ea2f4aba","abstract_canon_sha256":"1b31cecafa853fdb99430b0268d2a6994bc97d67d875cf2e712a7154830e66aa"},"schema_version":"1.0"},"canonical_sha256":"b53178aa2f9ce7bd7ee788a657ceeb3194c0af7e031ac09f148a25adf2676bdb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:54:48.064539Z","signature_b64":"6upPKTLlX9DxcaS2AWMsl8/GhfbalkLu7OUvUF/DZhbaGW4LJf+jpo0t5I5wjLkNQ5Gq6hci/Ec4qgQG4l3aDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b53178aa2f9ce7bd7ee788a657ceeb3194c0af7e031ac09f148a25adf2676bdb","last_reissued_at":"2026-07-05T01:54:48.064124Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:54:48.064124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.14664","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":"2026-07-05T01:54:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yaVnYsBD3EI+iCFv8UYeaTps71mKiJCAILU7BYi15KsrNdJEnAXalKvEthG/TZKvtWKgScD1ls9+T1rpAPCOBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:35:59.275333Z"},"content_sha256":"27249381ecbf130cd72ddc5e8e72e7a183d83c3c5218560b15a9d45e474f4167","schema_version":"1.0","event_id":"sha256:27249381ecbf130cd72ddc5e8e72e7a183d83c3c5218560b15a9d45e474f4167"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WUYXRKRPTTT327XHRCTFPTXLGG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"System Identification via Meta-Learning in Linear Time-Varying Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Hang Wang, Junshan Zhang, Sen Lin","submitted_at":"2020-10-27T23:02:35Z","abstract_excerpt":"System identification is a fundamental problem in reinforcement learning, control theory and signal processing, and the non-asymptotic analysis of the corresponding sample complexity is challenging and elusive, even for linear time-varying (LTV) systems. To tackle this challenge, we develop an episodic block model for the LTV system where the model parameters remain constant within each block but change from block to block. Based on the observation that the model parameters across different blocks are related, we treat each episodic block as a learning task and then run meta-learning over many"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14664","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/2010.14664/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":"2026-07-05T01:54:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NwNt6YqN65W8rKrfezGx/fsmjUtCAV5zBCAyNuoH5Bl/+OP94/ofT1To8USz8BWBAu9MVC3Uc0pyeFvwXqD7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T11:35:59.275918Z"},"content_sha256":"aa04e8fdc7cf043b879fd7bba2d9f1a78e88f2b9d50b2cc2f055c67dec654c35","schema_version":"1.0","event_id":"sha256:aa04e8fdc7cf043b879fd7bba2d9f1a78e88f2b9d50b2cc2f055c67dec654c35"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WUYXRKRPTTT327XHRCTFPTXLGG/bundle.json","state_url":"https://pith.science/pith/WUYXRKRPTTT327XHRCTFPTXLGG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WUYXRKRPTTT327XHRCTFPTXLGG/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":"2026-08-12T11:35:59Z","links":{"resolver":"https://pith.science/pith/WUYXRKRPTTT327XHRCTFPTXLGG","bundle":"https://pith.science/pith/WUYXRKRPTTT327XHRCTFPTXLGG/bundle.json","state":"https://pith.science/pith/WUYXRKRPTTT327XHRCTFPTXLGG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WUYXRKRPTTT327XHRCTFPTXLGG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WUYXRKRPTTT327XHRCTFPTXLGG","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":"1b31cecafa853fdb99430b0268d2a6994bc97d67d875cf2e712a7154830e66aa","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T23:02:35Z","title_canon_sha256":"8ae634b8f4ce002ea9c0ee15f002b4b021717141530de3b16b6d9991ea2f4aba"},"schema_version":"1.0","source":{"id":"2010.14664","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.14664","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"arxiv_version","alias_value":"2010.14664v2","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14664","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"pith_short_12","alias_value":"WUYXRKRPTTT3","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"pith_short_16","alias_value":"WUYXRKRPTTT327XH","created_at":"2026-07-05T01:54:48Z"},{"alias_kind":"pith_short_8","alias_value":"WUYXRKRP","created_at":"2026-07-05T01:54:48Z"}],"graph_snapshots":[{"event_id":"sha256:aa04e8fdc7cf043b879fd7bba2d9f1a78e88f2b9d50b2cc2f055c67dec654c35","target":"graph","created_at":"2026-07-05T01:54:48Z","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/2010.14664/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"System identification is a fundamental problem in reinforcement learning, control theory and signal processing, and the non-asymptotic analysis of the corresponding sample complexity is challenging and elusive, even for linear time-varying (LTV) systems. To tackle this challenge, we develop an episodic block model for the LTV system where the model parameters remain constant within each block but change from block to block. Based on the observation that the model parameters across different blocks are related, we treat each episodic block as a learning task and then run meta-learning over many","authors_text":"Hang Wang, Junshan Zhang, Sen Lin","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T23:02:35Z","title":"System Identification via Meta-Learning in Linear Time-Varying Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14664","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":"sha256:27249381ecbf130cd72ddc5e8e72e7a183d83c3c5218560b15a9d45e474f4167","target":"record","created_at":"2026-07-05T01:54:48Z","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":"1b31cecafa853fdb99430b0268d2a6994bc97d67d875cf2e712a7154830e66aa","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-10-27T23:02:35Z","title_canon_sha256":"8ae634b8f4ce002ea9c0ee15f002b4b021717141530de3b16b6d9991ea2f4aba"},"schema_version":"1.0","source":{"id":"2010.14664","kind":"arxiv","version":2}},"canonical_sha256":"b53178aa2f9ce7bd7ee788a657ceeb3194c0af7e031ac09f148a25adf2676bdb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b53178aa2f9ce7bd7ee788a657ceeb3194c0af7e031ac09f148a25adf2676bdb","first_computed_at":"2026-07-05T01:54:48.064124Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:54:48.064124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6upPKTLlX9DxcaS2AWMsl8/GhfbalkLu7OUvUF/DZhbaGW4LJf+jpo0t5I5wjLkNQ5Gq6hci/Ec4qgQG4l3aDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:54:48.064539Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.14664","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27249381ecbf130cd72ddc5e8e72e7a183d83c3c5218560b15a9d45e474f4167","sha256:aa04e8fdc7cf043b879fd7bba2d9f1a78e88f2b9d50b2cc2f055c67dec654c35"],"state_sha256":"e663e83e9c47e0deca83cccee07bced54b2d8917305c9c5859b26b73ab9ec1d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6D12vc3v/u6KaG9vebL4BbgoyrcEoUwS4B4tiOd7SysA1bnnf0EwY+dv/WAGKDE2tcUysLowRD/RZkGZhhtfDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T11:35:59.280956Z","bundle_sha256":"2703c566dae122a2ce7b7573c3566818cda10fc4ff2a76524d8e045f84dddd2b"}}