{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3UQTZQPQMIQRGB6MQ2WZDNLTSH","short_pith_number":"pith:3UQTZQPQ","canonical_record":{"source":{"id":"2310.05712","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-09T13:35:28Z","cross_cats_sorted":[],"title_canon_sha256":"23fa26d23bd4e81d2fe695660b781f189553b7340458d06f2c7bb4ed5ec68937","abstract_canon_sha256":"1aa0a67cba4bde155f5d5aecc1ae7ba52751d5f233461581357702323a15880a"},"schema_version":"1.0"},"canonical_sha256":"dd213cc1f062211307cc86ad91b57391ccb3b3c20041c22e4822f71aad9f3198","source":{"kind":"arxiv","id":"2310.05712","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05712","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05712v1","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05712","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"pith_short_12","alias_value":"3UQTZQPQMIQR","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"pith_short_16","alias_value":"3UQTZQPQMIQRGB6M","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"pith_short_8","alias_value":"3UQTZQPQ","created_at":"2026-07-05T06:58:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3UQTZQPQMIQRGB6MQ2WZDNLTSH","target":"record","payload":{"canonical_record":{"source":{"id":"2310.05712","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-09T13:35:28Z","cross_cats_sorted":[],"title_canon_sha256":"23fa26d23bd4e81d2fe695660b781f189553b7340458d06f2c7bb4ed5ec68937","abstract_canon_sha256":"1aa0a67cba4bde155f5d5aecc1ae7ba52751d5f233461581357702323a15880a"},"schema_version":"1.0"},"canonical_sha256":"dd213cc1f062211307cc86ad91b57391ccb3b3c20041c22e4822f71aad9f3198","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:58:48.798199Z","signature_b64":"ZYtFpihSC4tvQTQr2loeiru9bM+Q8Egd1WwvM1qFU1Gc+DsvxxWB2YVFCQQtF50IcCYiHWeZuvP9uO7CAIsgDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd213cc1f062211307cc86ad91b57391ccb3b3c20041c22e4822f71aad9f3198","last_reissued_at":"2026-07-05T06:58:48.797724Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:58:48.797724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.05712","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:58:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RNeOrL7XXRICEP0CjZFGKhw5qbYK/KUfFm+2US8jcmPFD2mcIVZivvuOjf/3wgqoX4KCqTJzAfheqCE+7Nw5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:11:28.943793Z"},"content_sha256":"92c5fe6ae5a47525d5022673ae24e8d9767ac4dba66c1371ed155f5564431500","schema_version":"1.0","event_id":"sha256:92c5fe6ae5a47525d5022673ae24e8d9767ac4dba66c1371ed155f5564431500"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3UQTZQPQMIQRGB6MQ2WZDNLTSH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Anqi Huang, Hang Zhao, Haoran Shi, Junyin Ye, Kai Xu, Si-Hang Yang, Xiong-Hui Chen, Yang Yu, Yi-Chen Li, Yu-Yan Xu, Zhihao Ye, Zongzhang Zhang","submitted_at":"2023-10-09T13:35:28Z","abstract_excerpt":"Imitation learning (IL) enables agents to mimic expert behaviors. Most previous IL techniques focus on precisely imitating one policy through mass demonstrations. However, in many applications, what humans require is the ability to perform various tasks directly through a few demonstrations of corresponding tasks, where the agent would meet many unexpected changes when deployed. In this scenario, the agent is expected to not only imitate the demonstration but also adapt to unforeseen environmental changes.\n  This motivates us to propose a new topic called imitator learning (ItorL), which aims "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05712","kind":"arxiv","version":1},"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/2310.05712/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":"2026-07-05T06:58:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5CXXGBVmwoMx2zdia+yLLbyWV2+xA5NBktPA0fM4fsB1NUv0jZmcIcLQUc1CtMAF91ag4uxKZePvPdlgxnblDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T16:11:28.944316Z"},"content_sha256":"9d66112c5eb4486432f8420c889c0b89a58cc7c5199c42134e1eae3ef2a5b1e0","schema_version":"1.0","event_id":"sha256:9d66112c5eb4486432f8420c889c0b89a58cc7c5199c42134e1eae3ef2a5b1e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3UQTZQPQMIQRGB6MQ2WZDNLTSH/bundle.json","state_url":"https://pith.science/pith/3UQTZQPQMIQRGB6MQ2WZDNLTSH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3UQTZQPQMIQRGB6MQ2WZDNLTSH/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":"2026-08-23T16:11:28Z","links":{"resolver":"https://pith.science/pith/3UQTZQPQMIQRGB6MQ2WZDNLTSH","bundle":"https://pith.science/pith/3UQTZQPQMIQRGB6MQ2WZDNLTSH/bundle.json","state":"https://pith.science/pith/3UQTZQPQMIQRGB6MQ2WZDNLTSH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3UQTZQPQMIQRGB6MQ2WZDNLTSH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3UQTZQPQMIQRGB6MQ2WZDNLTSH","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":"1aa0a67cba4bde155f5d5aecc1ae7ba52751d5f233461581357702323a15880a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-09T13:35:28Z","title_canon_sha256":"23fa26d23bd4e81d2fe695660b781f189553b7340458d06f2c7bb4ed5ec68937"},"schema_version":"1.0","source":{"id":"2310.05712","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05712","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05712v1","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05712","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"pith_short_12","alias_value":"3UQTZQPQMIQR","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"pith_short_16","alias_value":"3UQTZQPQMIQRGB6M","created_at":"2026-07-05T06:58:48Z"},{"alias_kind":"pith_short_8","alias_value":"3UQTZQPQ","created_at":"2026-07-05T06:58:48Z"}],"graph_snapshots":[{"event_id":"sha256:9d66112c5eb4486432f8420c889c0b89a58cc7c5199c42134e1eae3ef2a5b1e0","target":"graph","created_at":"2026-07-05T06:58:48Z","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/2310.05712/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Imitation learning (IL) enables agents to mimic expert behaviors. Most previous IL techniques focus on precisely imitating one policy through mass demonstrations. However, in many applications, what humans require is the ability to perform various tasks directly through a few demonstrations of corresponding tasks, where the agent would meet many unexpected changes when deployed. In this scenario, the agent is expected to not only imitate the demonstration but also adapt to unforeseen environmental changes.\n  This motivates us to propose a new topic called imitator learning (ItorL), which aims ","authors_text":"Anqi Huang, Hang Zhao, Haoran Shi, Junyin Ye, Kai Xu, Si-Hang Yang, Xiong-Hui Chen, Yang Yu, Yi-Chen Li, Yu-Yan Xu, Zhihao Ye, Zongzhang Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-09T13:35:28Z","title":"Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05712","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":"sha256:92c5fe6ae5a47525d5022673ae24e8d9767ac4dba66c1371ed155f5564431500","target":"record","created_at":"2026-07-05T06:58:48Z","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":"1aa0a67cba4bde155f5d5aecc1ae7ba52751d5f233461581357702323a15880a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-09T13:35:28Z","title_canon_sha256":"23fa26d23bd4e81d2fe695660b781f189553b7340458d06f2c7bb4ed5ec68937"},"schema_version":"1.0","source":{"id":"2310.05712","kind":"arxiv","version":1}},"canonical_sha256":"dd213cc1f062211307cc86ad91b57391ccb3b3c20041c22e4822f71aad9f3198","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd213cc1f062211307cc86ad91b57391ccb3b3c20041c22e4822f71aad9f3198","first_computed_at":"2026-07-05T06:58:48.797724Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:58:48.797724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZYtFpihSC4tvQTQr2loeiru9bM+Q8Egd1WwvM1qFU1Gc+DsvxxWB2YVFCQQtF50IcCYiHWeZuvP9uO7CAIsgDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:58:48.798199Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.05712","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:92c5fe6ae5a47525d5022673ae24e8d9767ac4dba66c1371ed155f5564431500","sha256:9d66112c5eb4486432f8420c889c0b89a58cc7c5199c42134e1eae3ef2a5b1e0"],"state_sha256":"b5912b5f60ffb6bffecc917bba8181083d1de47eb363049da677085cabd97d3c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qztfoUHBItdGVDOChQMStoUWnVEFw6sHpKgX2iiYdD34hX4l7nKKA9/hEt2cQY1gtKGBI7ZP24lBYc6iONG6Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T16:11:28.949553Z","bundle_sha256":"dc677075e100134dd910fe386757638339c6b0b25682f928a45660785e734f7a"}}