{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BPEBA4QMLYQRO7SQIGWKNQMSMW","short_pith_number":"pith:BPEBA4QM","canonical_record":{"source":{"id":"2503.05316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-07T10:50:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f481bd5524aefc07dbbe4706f27b6ea0dbf701efd29d717f57b430dc52090140","abstract_canon_sha256":"58d7d2ddcbe90b00145739de280e2fa6faaa4e190c1787bef2965aac06c6b9ce"},"schema_version":"1.0"},"canonical_sha256":"0bc810720c5e21177e5041aca6c192659be8bce6340c70b869d7207a51fe997e","source":{"kind":"arxiv","id":"2503.05316","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.05316","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"arxiv_version","alias_value":"2503.05316v1","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.05316","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"pith_short_12","alias_value":"BPEBA4QMLYQR","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"BPEBA4QMLYQRO7SQ","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"BPEBA4QM","created_at":"2026-07-05T10:26:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BPEBA4QMLYQRO7SQIGWKNQMSMW","target":"record","payload":{"canonical_record":{"source":{"id":"2503.05316","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-07T10:50:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f481bd5524aefc07dbbe4706f27b6ea0dbf701efd29d717f57b430dc52090140","abstract_canon_sha256":"58d7d2ddcbe90b00145739de280e2fa6faaa4e190c1787bef2965aac06c6b9ce"},"schema_version":"1.0"},"canonical_sha256":"0bc810720c5e21177e5041aca6c192659be8bce6340c70b869d7207a51fe997e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:26:26.179196Z","signature_b64":"Vs0AN4lKne0Tl5C9Q0OxWau8BAcF6x/Wdm0pfFE5CLQwmYn337WnKmB+VasldAchjRb4Bl8drJtK83v+dHTeBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0bc810720c5e21177e5041aca6c192659be8bce6340c70b869d7207a51fe997e","last_reissued_at":"2026-07-05T10:26:26.178660Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:26:26.178660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.05316","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":"2026-07-05T10:26:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/i174q9ZV9OyVobx+Kti2qOnc80KVRkOcdqw0Z0a//j12VAD8fyfRWg9r5f2QC0N12yTT28dNEMnrc5yDE0tDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:32:47.904129Z"},"content_sha256":"42002fe6c0e95e28208b1a32ef2f0ff4acc05782b3ef1751d9cd7a5933e11f5b","schema_version":"1.0","event_id":"sha256:42002fe6c0e95e28208b1a32ef2f0ff4acc05782b3ef1751d9cd7a5933e11f5b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BPEBA4QMLYQRO7SQIGWKNQMSMW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Huxian Liu, Jiahuan Yan, Jiankai Sun, Luhui Hu, Xiang Chen, Yu Zhao","submitted_at":"2025-03-07T10:50:58Z","abstract_excerpt":"Physical intelligence holds immense promise for advancing embodied intelligence, enabling robots to acquire complex behaviors from demonstrations. However, achieving generalization and transfer across diverse robotic platforms and environments requires careful design of model architectures, training strategies, and data diversity. Meanwhile existing systems often struggle with scalability, adaptability to heterogeneous hardware, and objective evaluation in real-world settings. We present a generalized end-to-end robotic learning framework designed to bridge this gap. Our framework introduces a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.05316","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/2503.05316/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":"2026-07-05T10:26:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PzPi9G1WNsim/DBqT9ikmKg27MGs0x68VwfOQPU37kbMOAz7cPCicczQ5IdwzTqPwrvSmJOeX8BezmVuodMCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:32:47.904743Z"},"content_sha256":"4933f8c434abf11d1926db220482bab031e270b55a0347219926665882508fbc","schema_version":"1.0","event_id":"sha256:4933f8c434abf11d1926db220482bab031e270b55a0347219926665882508fbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BPEBA4QMLYQRO7SQIGWKNQMSMW/bundle.json","state_url":"https://pith.science/pith/BPEBA4QMLYQRO7SQIGWKNQMSMW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BPEBA4QMLYQRO7SQIGWKNQMSMW/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":"2026-07-09T03:32:47Z","links":{"resolver":"https://pith.science/pith/BPEBA4QMLYQRO7SQIGWKNQMSMW","bundle":"https://pith.science/pith/BPEBA4QMLYQRO7SQIGWKNQMSMW/bundle.json","state":"https://pith.science/pith/BPEBA4QMLYQRO7SQIGWKNQMSMW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BPEBA4QMLYQRO7SQIGWKNQMSMW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BPEBA4QMLYQRO7SQIGWKNQMSMW","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":"58d7d2ddcbe90b00145739de280e2fa6faaa4e190c1787bef2965aac06c6b9ce","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-07T10:50:58Z","title_canon_sha256":"f481bd5524aefc07dbbe4706f27b6ea0dbf701efd29d717f57b430dc52090140"},"schema_version":"1.0","source":{"id":"2503.05316","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.05316","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"arxiv_version","alias_value":"2503.05316v1","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.05316","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"pith_short_12","alias_value":"BPEBA4QMLYQR","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"BPEBA4QMLYQRO7SQ","created_at":"2026-07-05T10:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"BPEBA4QM","created_at":"2026-07-05T10:26:26Z"}],"graph_snapshots":[{"event_id":"sha256:4933f8c434abf11d1926db220482bab031e270b55a0347219926665882508fbc","target":"graph","created_at":"2026-07-05T10:26:26Z","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/2503.05316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Physical intelligence holds immense promise for advancing embodied intelligence, enabling robots to acquire complex behaviors from demonstrations. However, achieving generalization and transfer across diverse robotic platforms and environments requires careful design of model architectures, training strategies, and data diversity. Meanwhile existing systems often struggle with scalability, adaptability to heterogeneous hardware, and objective evaluation in real-world settings. We present a generalized end-to-end robotic learning framework designed to bridge this gap. Our framework introduces a","authors_text":"Huxian Liu, Jiahuan Yan, Jiankai Sun, Luhui Hu, Xiang Chen, Yu Zhao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-07T10:50:58Z","title":"CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.05316","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":"sha256:42002fe6c0e95e28208b1a32ef2f0ff4acc05782b3ef1751d9cd7a5933e11f5b","target":"record","created_at":"2026-07-05T10:26:26Z","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":"58d7d2ddcbe90b00145739de280e2fa6faaa4e190c1787bef2965aac06c6b9ce","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-07T10:50:58Z","title_canon_sha256":"f481bd5524aefc07dbbe4706f27b6ea0dbf701efd29d717f57b430dc52090140"},"schema_version":"1.0","source":{"id":"2503.05316","kind":"arxiv","version":1}},"canonical_sha256":"0bc810720c5e21177e5041aca6c192659be8bce6340c70b869d7207a51fe997e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0bc810720c5e21177e5041aca6c192659be8bce6340c70b869d7207a51fe997e","first_computed_at":"2026-07-05T10:26:26.178660Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:26:26.178660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vs0AN4lKne0Tl5C9Q0OxWau8BAcF6x/Wdm0pfFE5CLQwmYn337WnKmB+VasldAchjRb4Bl8drJtK83v+dHTeBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:26:26.179196Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.05316","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42002fe6c0e95e28208b1a32ef2f0ff4acc05782b3ef1751d9cd7a5933e11f5b","sha256:4933f8c434abf11d1926db220482bab031e270b55a0347219926665882508fbc"],"state_sha256":"61bb51f25df6fc0c7c0532544aa88277b4138f1e1a7ca526bf6e558fe9f8bd96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QF/4mgxAmHM3ZzklaMgukB5WUBZzeTzHukOiGAlujHy1eaGelM9pwUFtjxP4HIveS4/T3VQn4PpeiTMn6b8cAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T03:32:47.908072Z","bundle_sha256":"2b279ba622d9235e4799e380643d6a1d11ac2de926a1e67a45293d8c98277c1b"}}