{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:WET3JCMMLMY6MUVH3NK6GTN4IR","short_pith_number":"pith:WET3JCMM","schema_version":"1.0","canonical_sha256":"b127b4898c5b31e652a7db55e34dbc446f94a03aa63d4f2f651be8750d67784d","source":{"kind":"arxiv","id":"2402.12095","version":2},"attestation_state":"computed","paper":{"title":"Major TOM: Expandable Datasets for Earth Observation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.CV","authors_text":"Alistair Francis, Mikolaj Czerkawski","submitted_at":"2024-02-19T12:23:39Z","abstract_excerpt":"Deep learning models are increasingly data-hungry, requiring significant resources to collect and compile the datasets needed to train them, with Earth Observation (EO) models being no exception. However, the landscape of datasets in EO is relatively atomised, with interoperability made difficult by diverse formats and data structures. If ever larger datasets are to be built, and duplication of effort minimised, then a shared framework that allows users to combine and access multiple datasets is needed. Here, Major TOM (Terrestrial Observation Metaset) is proposed as this extensible framework."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2402.12095","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-19T12:23:39Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"3d9ea8ed99b33536d78e472951c77ee5f3d7fa036d7c5a1b74444bfcfcd83f78","abstract_canon_sha256":"c31e7c639a07e8e84232bea5fbc70236bce41c5dc87f1492b3180a6b857350f2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:35:00.252028Z","signature_b64":"6GrMkrmAZIR39yCuStg1y94gO80yuYGq13qUMx1GesfdeDgx+qNP8M57Xv9NJLAuM4zl3EWcT1E2Ck/R+mxPCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b127b4898c5b31e652a7db55e34dbc446f94a03aa63d4f2f651be8750d67784d","last_reissued_at":"2026-07-05T08:35:00.251555Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:35:00.251555Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Major TOM: Expandable Datasets for Earth Observation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.CV","authors_text":"Alistair Francis, Mikolaj Czerkawski","submitted_at":"2024-02-19T12:23:39Z","abstract_excerpt":"Deep learning models are increasingly data-hungry, requiring significant resources to collect and compile the datasets needed to train them, with Earth Observation (EO) models being no exception. However, the landscape of datasets in EO is relatively atomised, with interoperability made difficult by diverse formats and data structures. If ever larger datasets are to be built, and duplication of effort minimised, then a shared framework that allows users to combine and access multiple datasets is needed. Here, Major TOM (Terrestrial Observation Metaset) is proposed as this extensible framework."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.12095","kind":"arxiv","version":2},"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/2402.12095/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2402.12095","created_at":"2026-07-05T08:35:00.251618+00:00"},{"alias_kind":"arxiv_version","alias_value":"2402.12095v2","created_at":"2026-07-05T08:35:00.251618+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.12095","created_at":"2026-07-05T08:35:00.251618+00:00"},{"alias_kind":"pith_short_12","alias_value":"WET3JCMMLMY6","created_at":"2026-07-05T08:35:00.251618+00:00"},{"alias_kind":"pith_short_16","alias_value":"WET3JCMMLMY6MUVH","created_at":"2026-07-05T08:35:00.251618+00:00"},{"alias_kind":"pith_short_8","alias_value":"WET3JCMM","created_at":"2026-07-05T08:35:00.251618+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.07758","citing_title":"Scalable and Trustworthy Earth Observation Foundation Models","ref_index":49,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR","json":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR.json","graph_json":"https://pith.science/api/pith-number/WET3JCMMLMY6MUVH3NK6GTN4IR/graph.json","events_json":"https://pith.science/api/pith-number/WET3JCMMLMY6MUVH3NK6GTN4IR/events.json","paper":"https://pith.science/paper/WET3JCMM"},"agent_actions":{"view_html":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR","download_json":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR.json","view_paper":"https://pith.science/paper/WET3JCMM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2402.12095&json=true","fetch_graph":"https://pith.science/api/pith-number/WET3JCMMLMY6MUVH3NK6GTN4IR/graph.json","fetch_events":"https://pith.science/api/pith-number/WET3JCMMLMY6MUVH3NK6GTN4IR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR/action/storage_attestation","attest_author":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR/action/author_attestation","sign_citation":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR/action/citation_signature","submit_replication":"https://pith.science/pith/WET3JCMMLMY6MUVH3NK6GTN4IR/action/replication_record"}},"created_at":"2026-07-05T08:35:00.251618+00:00","updated_at":"2026-07-05T08:35:00.251618+00:00"}