{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:57UOQQZK55VTKQLJ4RCCUCNQR2","short_pith_number":"pith:57UOQQZK","canonical_record":{"source":{"id":"2307.04287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T00:29:25Z","cross_cats_sorted":["cs.AI","cs.CE","cs.MA","cs.NE"],"title_canon_sha256":"d2fa3047039e3af94d11eaa0e94f5cc1dbc9545040ae763ffdeda9c109d20728","abstract_canon_sha256":"47f0064908df65cef769f30c89cb48bf745e6920446575271fb18def4cf26060"},"schema_version":"1.0"},"canonical_sha256":"efe8e8432aef6b354169e4442a09b08e9c14cbd9401bfc50af99afce5cad7948","source":{"kind":"arxiv","id":"2307.04287","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.04287","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"arxiv_version","alias_value":"2307.04287v1","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.04287","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"pith_short_12","alias_value":"57UOQQZK55VT","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"pith_short_16","alias_value":"57UOQQZK55VTKQLJ","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"pith_short_8","alias_value":"57UOQQZK","created_at":"2026-07-05T06:29:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:57UOQQZK55VTKQLJ4RCCUCNQR2","target":"record","payload":{"canonical_record":{"source":{"id":"2307.04287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T00:29:25Z","cross_cats_sorted":["cs.AI","cs.CE","cs.MA","cs.NE"],"title_canon_sha256":"d2fa3047039e3af94d11eaa0e94f5cc1dbc9545040ae763ffdeda9c109d20728","abstract_canon_sha256":"47f0064908df65cef769f30c89cb48bf745e6920446575271fb18def4cf26060"},"schema_version":"1.0"},"canonical_sha256":"efe8e8432aef6b354169e4442a09b08e9c14cbd9401bfc50af99afce5cad7948","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:29:11.113660Z","signature_b64":"U1c5oAt0gqwYITuuRSF8+1JBTWJJdhemKRdOFEifBfhkdWuOCyDMTSEYcHSSBb4CZGxeQbVLAjJmdqK5T5zNBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"efe8e8432aef6b354169e4442a09b08e9c14cbd9401bfc50af99afce5cad7948","last_reissued_at":"2026-07-05T06:29:11.113174Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:29:11.113174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.04287","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":"2026-07-05T06:29:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5chMit357tLVSpXNfgI3yeWDxQCV2Dc2Zus2zkT4rgq3b5I92M6dDp7I/+rfQ8z4d7VMzvpCJzwbdcX8OuS+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:47:11.473143Z"},"content_sha256":"19afe9f8b0fb16522d585c5bd75c6aeb17baef78ccd53d492959dd80faab8728","schema_version":"1.0","event_id":"sha256:19afe9f8b0fb16522d585c5bd75c6aeb17baef78ccd53d492959dd80faab8728"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:57UOQQZK55VTKQLJ4RCCUCNQR2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalizing Graph ODE for Learning Complex System Dynamics across Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CE","cs.MA","cs.NE"],"primary_cat":"cs.LG","authors_text":"Wei Wang, Yizhou Sun, Zijie Huang","submitted_at":"2023-07-10T00:29:25Z","abstract_excerpt":"Learning multi-agent system dynamics has been extensively studied for various real-world applications, such as molecular dynamics in biology. Most of the existing models are built to learn single system dynamics from observed historical data and predict the future trajectory. In practice, however, we might observe multiple systems that are generated across different environments, which differ in latent exogenous factors such as temperature and gravity. One simple solution is to learn multiple environment-specific models, but it fails to exploit the potential commonalities among the dynamics ac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.04287","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/2307.04287/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":"2026-07-05T06:29:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"972TliN8lRy7lYkdcGcvYQFdhBBV3dlipHwBTDV3kYzOikNvOzF1dOHDFLtA8N5V7HNfGHdez6LSEGn9cQhTCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:47:11.473537Z"},"content_sha256":"12e1fb95e0762fe8900f239f6378b39f06abe74551927500609f973c3532d661","schema_version":"1.0","event_id":"sha256:12e1fb95e0762fe8900f239f6378b39f06abe74551927500609f973c3532d661"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/57UOQQZK55VTKQLJ4RCCUCNQR2/bundle.json","state_url":"https://pith.science/pith/57UOQQZK55VTKQLJ4RCCUCNQR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/57UOQQZK55VTKQLJ4RCCUCNQR2/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":"2026-07-07T03:47:11Z","links":{"resolver":"https://pith.science/pith/57UOQQZK55VTKQLJ4RCCUCNQR2","bundle":"https://pith.science/pith/57UOQQZK55VTKQLJ4RCCUCNQR2/bundle.json","state":"https://pith.science/pith/57UOQQZK55VTKQLJ4RCCUCNQR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/57UOQQZK55VTKQLJ4RCCUCNQR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:57UOQQZK55VTKQLJ4RCCUCNQR2","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":"47f0064908df65cef769f30c89cb48bf745e6920446575271fb18def4cf26060","cross_cats_sorted":["cs.AI","cs.CE","cs.MA","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T00:29:25Z","title_canon_sha256":"d2fa3047039e3af94d11eaa0e94f5cc1dbc9545040ae763ffdeda9c109d20728"},"schema_version":"1.0","source":{"id":"2307.04287","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.04287","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"arxiv_version","alias_value":"2307.04287v1","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.04287","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"pith_short_12","alias_value":"57UOQQZK55VT","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"pith_short_16","alias_value":"57UOQQZK55VTKQLJ","created_at":"2026-07-05T06:29:11Z"},{"alias_kind":"pith_short_8","alias_value":"57UOQQZK","created_at":"2026-07-05T06:29:11Z"}],"graph_snapshots":[{"event_id":"sha256:12e1fb95e0762fe8900f239f6378b39f06abe74551927500609f973c3532d661","target":"graph","created_at":"2026-07-05T06:29:11Z","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/2307.04287/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning multi-agent system dynamics has been extensively studied for various real-world applications, such as molecular dynamics in biology. Most of the existing models are built to learn single system dynamics from observed historical data and predict the future trajectory. In practice, however, we might observe multiple systems that are generated across different environments, which differ in latent exogenous factors such as temperature and gravity. One simple solution is to learn multiple environment-specific models, but it fails to exploit the potential commonalities among the dynamics ac","authors_text":"Wei Wang, Yizhou Sun, Zijie Huang","cross_cats":["cs.AI","cs.CE","cs.MA","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T00:29:25Z","title":"Generalizing Graph ODE for Learning Complex System Dynamics across Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.04287","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":"sha256:19afe9f8b0fb16522d585c5bd75c6aeb17baef78ccd53d492959dd80faab8728","target":"record","created_at":"2026-07-05T06:29:11Z","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":"47f0064908df65cef769f30c89cb48bf745e6920446575271fb18def4cf26060","cross_cats_sorted":["cs.AI","cs.CE","cs.MA","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T00:29:25Z","title_canon_sha256":"d2fa3047039e3af94d11eaa0e94f5cc1dbc9545040ae763ffdeda9c109d20728"},"schema_version":"1.0","source":{"id":"2307.04287","kind":"arxiv","version":1}},"canonical_sha256":"efe8e8432aef6b354169e4442a09b08e9c14cbd9401bfc50af99afce5cad7948","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efe8e8432aef6b354169e4442a09b08e9c14cbd9401bfc50af99afce5cad7948","first_computed_at":"2026-07-05T06:29:11.113174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:29:11.113174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U1c5oAt0gqwYITuuRSF8+1JBTWJJdhemKRdOFEifBfhkdWuOCyDMTSEYcHSSBb4CZGxeQbVLAjJmdqK5T5zNBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:29:11.113660Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.04287","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19afe9f8b0fb16522d585c5bd75c6aeb17baef78ccd53d492959dd80faab8728","sha256:12e1fb95e0762fe8900f239f6378b39f06abe74551927500609f973c3532d661"],"state_sha256":"4b28d0ae73a71ad81c8dfe200faf4bdba6eaa6866e1da05f7daee4ffa8b326cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v6Xt7pXyD1/od5c3q1Tzmu3iG3QoZ+9AORDzD5pxxueFBS/LfL0ZgPDeQfZxSltRiuqFoqw2hdwSkLy0IhmaDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T03:47:11.475701Z","bundle_sha256":"bb89c5a338d19150e22008c98885e15e332a2d81ae962627ebb057b26cb7dd6d"}}