{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:37SWFSGPH77HMCNKGQSDNOCLGT","short_pith_number":"pith:37SWFSGP","canonical_record":{"source":{"id":"2506.03224","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T10:12:10Z","cross_cats_sorted":["cs.AI","physics.soc-ph"],"title_canon_sha256":"32b0121db6d60aaa998a4a4bcd03477583bf657fc0971d04fd049b76b5a4f0d6","abstract_canon_sha256":"bebfb92bd73a6c2ef387471dde01c552f23441cd2507b86d3509275abc63a9f6"},"schema_version":"1.0"},"canonical_sha256":"dfe562c8cf3ffe7609aa342436b84b34fdf6025f53c087cd18857905ca40e3d9","source":{"kind":"arxiv","id":"2506.03224","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03224","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03224v1","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03224","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"pith_short_12","alias_value":"37SWFSGPH77H","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"pith_short_16","alias_value":"37SWFSGPH77HMCNK","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"pith_short_8","alias_value":"37SWFSGP","created_at":"2026-07-05T11:15:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:37SWFSGPH77HMCNKGQSDNOCLGT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.03224","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T10:12:10Z","cross_cats_sorted":["cs.AI","physics.soc-ph"],"title_canon_sha256":"32b0121db6d60aaa998a4a4bcd03477583bf657fc0971d04fd049b76b5a4f0d6","abstract_canon_sha256":"bebfb92bd73a6c2ef387471dde01c552f23441cd2507b86d3509275abc63a9f6"},"schema_version":"1.0"},"canonical_sha256":"dfe562c8cf3ffe7609aa342436b84b34fdf6025f53c087cd18857905ca40e3d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:23.352154Z","signature_b64":"1A4Xh/cMq41k21OCWgTEOsNgXqPPu1zkaWfTpph9srboMaXeR/1k6FfZ9FSK57X8xExuSviDvAy2wqClq5rBCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dfe562c8cf3ffe7609aa342436b84b34fdf6025f53c087cd18857905ca40e3d9","last_reissued_at":"2026-07-05T11:15:23.351658Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:23.351658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.03224","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":"2026-07-05T11:15:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X0q8jEx/mDFypzsft6fjeO2xeCcYIVd9IKU0kA6UFgQz61UARkB7HyBgtZ0vjrrvET9IbMPh5yHinMDyUaa7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:22:08.538833Z"},"content_sha256":"a7a9667dc880250a0394907a6e8437b75ca5c4a650350ae30e029bf9df851afe","schema_version":"1.0","event_id":"sha256:a7a9667dc880250a0394907a6e8437b75ca5c4a650350ae30e029bf9df851afe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:37SWFSGPH77HMCNKGQSDNOCLGT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","physics.soc-ph"],"primary_cat":"cs.CV","authors_text":"Guozhen Zhang, Jian Yuan, Jingtao Ding, Jinwei Zeng, Yong Li, Yu Liu, Yuming Lin","submitted_at":"2025-06-03T10:12:10Z","abstract_excerpt":"Accurately estimating high-resolution carbon emissions is crucial for effective emission governance and mitigation planning. While conventional methods for precise carbon accounting are hindered by substantial data collection efforts, the rise of open data and advanced learning techniques offers a promising solution. Once an open data-based prediction model is developed and trained, it can easily infer emissions for new areas based on available open data. To address this, we incorporate two modalities of open data, satellite images and point-of-interest (POI) data, to predict high-resolution u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03224","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/2506.03224/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":"2026-07-05T11:15:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+/sUz1BHu/g5T1qHUQ2Olwt0tpN0PzbD7K3eiwLxx08YHWpBxkF+FoTdx/83M7kAM4+NmBoYWIRrHR2/nQiNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:22:08.539341Z"},"content_sha256":"665c46928423ec272e04d1d97e1b295fd558e8dc4e2f5c51b58c345f461595fe","schema_version":"1.0","event_id":"sha256:665c46928423ec272e04d1d97e1b295fd558e8dc4e2f5c51b58c345f461595fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/37SWFSGPH77HMCNKGQSDNOCLGT/bundle.json","state_url":"https://pith.science/pith/37SWFSGPH77HMCNKGQSDNOCLGT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/37SWFSGPH77HMCNKGQSDNOCLGT/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":"2026-08-08T08:22:08Z","links":{"resolver":"https://pith.science/pith/37SWFSGPH77HMCNKGQSDNOCLGT","bundle":"https://pith.science/pith/37SWFSGPH77HMCNKGQSDNOCLGT/bundle.json","state":"https://pith.science/pith/37SWFSGPH77HMCNKGQSDNOCLGT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/37SWFSGPH77HMCNKGQSDNOCLGT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:37SWFSGPH77HMCNKGQSDNOCLGT","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":"bebfb92bd73a6c2ef387471dde01c552f23441cd2507b86d3509275abc63a9f6","cross_cats_sorted":["cs.AI","physics.soc-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T10:12:10Z","title_canon_sha256":"32b0121db6d60aaa998a4a4bcd03477583bf657fc0971d04fd049b76b5a4f0d6"},"schema_version":"1.0","source":{"id":"2506.03224","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03224","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03224v1","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03224","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"pith_short_12","alias_value":"37SWFSGPH77H","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"pith_short_16","alias_value":"37SWFSGPH77HMCNK","created_at":"2026-07-05T11:15:23Z"},{"alias_kind":"pith_short_8","alias_value":"37SWFSGP","created_at":"2026-07-05T11:15:23Z"}],"graph_snapshots":[{"event_id":"sha256:665c46928423ec272e04d1d97e1b295fd558e8dc4e2f5c51b58c345f461595fe","target":"graph","created_at":"2026-07-05T11:15:23Z","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/2506.03224/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately estimating high-resolution carbon emissions is crucial for effective emission governance and mitigation planning. While conventional methods for precise carbon accounting are hindered by substantial data collection efforts, the rise of open data and advanced learning techniques offers a promising solution. Once an open data-based prediction model is developed and trained, it can easily infer emissions for new areas based on available open data. To address this, we incorporate two modalities of open data, satellite images and point-of-interest (POI) data, to predict high-resolution u","authors_text":"Guozhen Zhang, Jian Yuan, Jingtao Ding, Jinwei Zeng, Yong Li, Yu Liu, Yuming Lin","cross_cats":["cs.AI","physics.soc-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T10:12:10Z","title":"OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03224","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:a7a9667dc880250a0394907a6e8437b75ca5c4a650350ae30e029bf9df851afe","target":"record","created_at":"2026-07-05T11:15:23Z","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":"bebfb92bd73a6c2ef387471dde01c552f23441cd2507b86d3509275abc63a9f6","cross_cats_sorted":["cs.AI","physics.soc-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T10:12:10Z","title_canon_sha256":"32b0121db6d60aaa998a4a4bcd03477583bf657fc0971d04fd049b76b5a4f0d6"},"schema_version":"1.0","source":{"id":"2506.03224","kind":"arxiv","version":1}},"canonical_sha256":"dfe562c8cf3ffe7609aa342436b84b34fdf6025f53c087cd18857905ca40e3d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dfe562c8cf3ffe7609aa342436b84b34fdf6025f53c087cd18857905ca40e3d9","first_computed_at":"2026-07-05T11:15:23.351658Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:23.351658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1A4Xh/cMq41k21OCWgTEOsNgXqPPu1zkaWfTpph9srboMaXeR/1k6FfZ9FSK57X8xExuSviDvAy2wqClq5rBCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:23.352154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03224","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7a9667dc880250a0394907a6e8437b75ca5c4a650350ae30e029bf9df851afe","sha256:665c46928423ec272e04d1d97e1b295fd558e8dc4e2f5c51b58c345f461595fe"],"state_sha256":"16d48d2b856a85f9e3732018a7d90a9b4206e0a24eb33bb6ab990e6dbfc48a80"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gbpTt44CWmDgGc8MBdbN6QbtrAdc4jdXMklX5/M9qY8Q0Z/HixWD8vnh5NZKlBUseq+ktbCT13T2U+zTL4dpAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:22:08.544251Z","bundle_sha256":"225c503d1dba39150e0a756ff2ff45098c6fcd0cef856b36a2756886b390d207"}}