{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DML53PID6FF4C2VVLPUZSICRFO","short_pith_number":"pith:DML53PID","canonical_record":{"source":{"id":"2503.22122","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-28T03:51:40Z","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"title_canon_sha256":"15c729711e3c47a04a9b9eba7977ba4bba89549ab4449c3d6b7f527d10c6ec5f","abstract_canon_sha256":"1ef072c922e25aa394be379effafb707273e366c5c820394a37d7779af0213a2"},"schema_version":"1.0"},"canonical_sha256":"1b17ddbd03f14bc16ab55be99920512ba25effe4a53f11539a4cde56f63c6541","source":{"kind":"arxiv","id":"2503.22122","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.22122","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"arxiv_version","alias_value":"2503.22122v1","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.22122","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"pith_short_12","alias_value":"DML53PID6FF4","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"pith_short_16","alias_value":"DML53PID6FF4C2VV","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"pith_short_8","alias_value":"DML53PID","created_at":"2026-07-05T10:40:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DML53PID6FF4C2VVLPUZSICRFO","target":"record","payload":{"canonical_record":{"source":{"id":"2503.22122","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-28T03:51:40Z","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"title_canon_sha256":"15c729711e3c47a04a9b9eba7977ba4bba89549ab4449c3d6b7f527d10c6ec5f","abstract_canon_sha256":"1ef072c922e25aa394be379effafb707273e366c5c820394a37d7779af0213a2"},"schema_version":"1.0"},"canonical_sha256":"1b17ddbd03f14bc16ab55be99920512ba25effe4a53f11539a4cde56f63c6541","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:47.775668Z","signature_b64":"voEeypYSAExoN8rbDkQ4xaqr8or9fqpHu5xdFUZGX6Xk2Fs4oriZxo40a3v0I1rrgMFEZlP96UuOAV3YroIiCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b17ddbd03f14bc16ab55be99920512ba25effe4a53f11539a4cde56f63c6541","last_reissued_at":"2026-07-05T10:40:47.775099Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:47.775099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.22122","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":"2026-07-05T10:40:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vf/iA5+AlzskiUdcWv89xpMfqnkOWKz03JFqRvDCHb84fgeEJskA6zYGvIuw3OQBFaksMEGcC5Mhro7HouMvDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:08:39.344755Z"},"content_sha256":"f3e24aac6e296d48dfa0984d0b0074a9b56fbd6b59c0356b4612908a3e0a2859","schema_version":"1.0","event_id":"sha256:f3e24aac6e296d48dfa0984d0b0074a9b56fbd6b59c0356b4612908a3e0a2859"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DML53PID6FF4C2VVLPUZSICRFO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CV"],"primary_cat":"cs.RO","authors_text":"Angyuan Ma, Huaxiu Yao, Masayoshi Tomizuka, Mingyu Ding, Puzhen Yuan, Yunchao Yao","submitted_at":"2025-03-28T03:51:40Z","abstract_excerpt":"Vision-language models (VLMs) have demonstrated remarkable capabilities in robotic planning, particularly for long-horizon tasks that require a holistic understanding of the environment for task decomposition. Existing methods typically rely on prior environmental knowledge or carefully designed task-specific prompts, making them struggle with dynamic scene changes or unexpected task conditions, e.g., a robot attempting to put a carrot in the microwave but finds the door was closed. Such challenges underscore two critical issues: adaptability and efficiency. To address them, in this work, we p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.22122","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/2503.22122/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":"2026-07-05T10:40:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ln6DllehLP/RSl/j9CNqJG9ScwrFoYq3HJO0KeEgtDSHU2burtwpuXCr3SHvbEyzgFs+bRm5IDGb5QAGO3VcCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:08:39.345290Z"},"content_sha256":"79d4c113cec87d13c581d91368caf5c11e545b42c426d60884d3db71c0c5cc13","schema_version":"1.0","event_id":"sha256:79d4c113cec87d13c581d91368caf5c11e545b42c426d60884d3db71c0c5cc13"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DML53PID6FF4C2VVLPUZSICRFO/bundle.json","state_url":"https://pith.science/pith/DML53PID6FF4C2VVLPUZSICRFO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DML53PID6FF4C2VVLPUZSICRFO/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":"2026-08-10T06:08:39Z","links":{"resolver":"https://pith.science/pith/DML53PID6FF4C2VVLPUZSICRFO","bundle":"https://pith.science/pith/DML53PID6FF4C2VVLPUZSICRFO/bundle.json","state":"https://pith.science/pith/DML53PID6FF4C2VVLPUZSICRFO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DML53PID6FF4C2VVLPUZSICRFO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DML53PID6FF4C2VVLPUZSICRFO","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":"1ef072c922e25aa394be379effafb707273e366c5c820394a37d7779af0213a2","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-28T03:51:40Z","title_canon_sha256":"15c729711e3c47a04a9b9eba7977ba4bba89549ab4449c3d6b7f527d10c6ec5f"},"schema_version":"1.0","source":{"id":"2503.22122","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.22122","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"arxiv_version","alias_value":"2503.22122v1","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.22122","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"pith_short_12","alias_value":"DML53PID6FF4","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"pith_short_16","alias_value":"DML53PID6FF4C2VV","created_at":"2026-07-05T10:40:47Z"},{"alias_kind":"pith_short_8","alias_value":"DML53PID","created_at":"2026-07-05T10:40:47Z"}],"graph_snapshots":[{"event_id":"sha256:79d4c113cec87d13c581d91368caf5c11e545b42c426d60884d3db71c0c5cc13","target":"graph","created_at":"2026-07-05T10:40:47Z","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/2503.22122/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models (VLMs) have demonstrated remarkable capabilities in robotic planning, particularly for long-horizon tasks that require a holistic understanding of the environment for task decomposition. Existing methods typically rely on prior environmental knowledge or carefully designed task-specific prompts, making them struggle with dynamic scene changes or unexpected task conditions, e.g., a robot attempting to put a carrot in the microwave but finds the door was closed. Such challenges underscore two critical issues: adaptability and efficiency. To address them, in this work, we p","authors_text":"Angyuan Ma, Huaxiu Yao, Masayoshi Tomizuka, Mingyu Ding, Puzhen Yuan, Yunchao Yao","cross_cats":["cs.AI","cs.CL","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-28T03:51:40Z","title":"REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.22122","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:f3e24aac6e296d48dfa0984d0b0074a9b56fbd6b59c0356b4612908a3e0a2859","target":"record","created_at":"2026-07-05T10:40:47Z","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":"1ef072c922e25aa394be379effafb707273e366c5c820394a37d7779af0213a2","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-03-28T03:51:40Z","title_canon_sha256":"15c729711e3c47a04a9b9eba7977ba4bba89549ab4449c3d6b7f527d10c6ec5f"},"schema_version":"1.0","source":{"id":"2503.22122","kind":"arxiv","version":1}},"canonical_sha256":"1b17ddbd03f14bc16ab55be99920512ba25effe4a53f11539a4cde56f63c6541","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b17ddbd03f14bc16ab55be99920512ba25effe4a53f11539a4cde56f63c6541","first_computed_at":"2026-07-05T10:40:47.775099Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:40:47.775099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"voEeypYSAExoN8rbDkQ4xaqr8or9fqpHu5xdFUZGX6Xk2Fs4oriZxo40a3v0I1rrgMFEZlP96UuOAV3YroIiCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:40:47.775668Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.22122","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3e24aac6e296d48dfa0984d0b0074a9b56fbd6b59c0356b4612908a3e0a2859","sha256:79d4c113cec87d13c581d91368caf5c11e545b42c426d60884d3db71c0c5cc13"],"state_sha256":"1c4c16ed23d1924dbec88b8f820255b08cae0ec5c134cf610f79415ae4f6309f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZZiapV2z9wkBKuChpjerS7quLjWDQ+L1VrcJIgPWvmF0gQuFqg7JEM8vuhCyi+rxsxfxs5fR6jAMTLxD3lUzDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:08:39.350782Z","bundle_sha256":"326a6fdde1be7c09360b9b8048b93f1444a3541ed6753586e133bbd22c9fcbdb"}}