{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YGLU7H6NVH5OS3G6W6NNGK6CIF","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":"09143f2a68dc2868efb14905226369543ffa7381160902702a73c8e6285db4d2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T21:40:24Z","title_canon_sha256":"93729ccc889fe7a948fa915b95c3462932f9abb0f86c93ec6326fa4c26b91266"},"schema_version":"1.0","source":{"id":"2506.15896","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15896","created_at":"2026-07-05T11:24:26Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15896v1","created_at":"2026-07-05T11:24:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15896","created_at":"2026-07-05T11:24:26Z"},{"alias_kind":"pith_short_12","alias_value":"YGLU7H6NVH5O","created_at":"2026-07-05T11:24:26Z"},{"alias_kind":"pith_short_16","alias_value":"YGLU7H6NVH5OS3G6","created_at":"2026-07-05T11:24:26Z"},{"alias_kind":"pith_short_8","alias_value":"YGLU7H6N","created_at":"2026-07-05T11:24:26Z"}],"graph_snapshots":[{"event_id":"sha256:7d5fa6ecf4d85e301c95e5ca1c96eb1c065e5c026b8f406ced65c4c496fd141d","target":"graph","created_at":"2026-07-05T11:24:26Z","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/2506.15896/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precision soil greenhouse gas (GHG) flux prediction is essential in agricultural systems for assessing environmental impacts, developing emission mitigation strategies and promoting sustainable agriculture. Due to the lack of advanced sensor and network technologies on majority of farms, there are challenges in obtaining comprehensive and diverse agricultural data. As a result, the scarcity of agricultural data seriously obstructs the application of machine learning approaches in precision soil GHG flux prediction. This research proposes a knowledge-guided graph neural network framework that a","authors_text":"Gaoshan Bi, Max Davis, Po Yang, Qing Xue, Simon Jeffery, Yang Li, Yu Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T21:40:24Z","title":"KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15896","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":"sha256:74950351a48d26e7c407b0c3869b419618c65f064f9ca41f3740e2c2a1c26968","target":"record","created_at":"2026-07-05T11:24:26Z","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":"09143f2a68dc2868efb14905226369543ffa7381160902702a73c8e6285db4d2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-18T21:40:24Z","title_canon_sha256":"93729ccc889fe7a948fa915b95c3462932f9abb0f86c93ec6326fa4c26b91266"},"schema_version":"1.0","source":{"id":"2506.15896","kind":"arxiv","version":1}},"canonical_sha256":"c1974f9fcda9fae96cdeb79ad32bc2414299f35a359672a2297823b664936a91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1974f9fcda9fae96cdeb79ad32bc2414299f35a359672a2297823b664936a91","first_computed_at":"2026-07-05T11:24:26.047271Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:24:26.047271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Tp3ujVNqPzsKK0FtFDvrjfeqvJem6q5+VjLeR8ENhJILIJDw2DkySkhKlTaAApO7Cdn21yX08trtFx8bG5c8AA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:24:26.047779Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15896","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74950351a48d26e7c407b0c3869b419618c65f064f9ca41f3740e2c2a1c26968","sha256:7d5fa6ecf4d85e301c95e5ca1c96eb1c065e5c026b8f406ced65c4c496fd141d"],"state_sha256":"62ec61a40d3aa0b034c543a509394cc6f31019546afc3c5d89e4cf50af292c89"}