{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TSFTJ3UWX72LD5BV7VRYDL3EWW","short_pith_number":"pith:TSFTJ3UW","canonical_record":{"source":{"id":"2506.13649","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-16T16:10:08Z","cross_cats_sorted":["cs.LG","physics.geo-ph","q-bio.QM"],"title_canon_sha256":"056463b6ec82590def8f195a7d67b0b3ce551bdafe2a1c21fe8da77caa3c7abf","abstract_canon_sha256":"55949122fd0f70243b08538a5e2fc4ff437bc5d236b1b8e3759b78f2e9c8538d"},"schema_version":"1.0"},"canonical_sha256":"9c8b34ee96bff4b1f435fd6381af64b59075ba1b01be23b0eb7199c241c0749f","source":{"kind":"arxiv","id":"2506.13649","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13649","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13649v1","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13649","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"pith_short_12","alias_value":"TSFTJ3UWX72L","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"pith_short_16","alias_value":"TSFTJ3UWX72LD5BV","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"pith_short_8","alias_value":"TSFTJ3UW","created_at":"2026-07-05T11:22:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TSFTJ3UWX72LD5BV7VRYDL3EWW","target":"record","payload":{"canonical_record":{"source":{"id":"2506.13649","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-16T16:10:08Z","cross_cats_sorted":["cs.LG","physics.geo-ph","q-bio.QM"],"title_canon_sha256":"056463b6ec82590def8f195a7d67b0b3ce551bdafe2a1c21fe8da77caa3c7abf","abstract_canon_sha256":"55949122fd0f70243b08538a5e2fc4ff437bc5d236b1b8e3759b78f2e9c8538d"},"schema_version":"1.0"},"canonical_sha256":"9c8b34ee96bff4b1f435fd6381af64b59075ba1b01be23b0eb7199c241c0749f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:24.107502Z","signature_b64":"Qx+DZWJBQxlIG30fvFl5WAvfleyAhPqzhrqGz4Vq4exywM062upOLmW2bJwwmgIrswQwxoDAbJz3wmS2TJdkAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c8b34ee96bff4b1f435fd6381af64b59075ba1b01be23b0eb7199c241c0749f","last_reissued_at":"2026-07-05T11:22:24.106938Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:24.106938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.13649","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":"2026-07-05T11:22:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MEk4fSaV+7pnkOW0maOrATAJrryob9o3J9L6RzDExnlSnYrslUBzSLr4RNuGkOIwxyOL6fD8hbLESxpK2Jf7Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:20:53.838865Z"},"content_sha256":"7f4fede6617f64b18ebd00a7cf775446d323051cd8fea14fe5043855b609e9e0","schema_version":"1.0","event_id":"sha256:7f4fede6617f64b18ebd00a7cf775446d323051cd8fea14fe5043855b609e9e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TSFTJ3UWX72LD5BV7VRYDL3EWW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","physics.geo-ph","q-bio.QM"],"primary_cat":"stat.AP","authors_text":"Andra\\v{z} \\v{C}arni, Behl\\\"ul G\\\"uler, Borja Jim\\'enez-Alfaro, Emiliano Agrillo, Fabio Attorre, Gianmaria Bonari, Grzegorz Swacha, Idoia Biurrun, Jens-Christian Svenning, Jonathan Lenoir, Klaus Ecker, Milan Chytr\\'y, Renata \\'Cu\\v{s}terevska, Sander M\\\"ucher, Sara Si-Moussi, Stephan Hennekens, Tetiana Dziuba, Ute Jandt, Wanda De Keersmaecker, Wilfried Thuiller","submitted_at":"2025-06-16T16:10:08Z","abstract_excerpt":"The EUNIS habitat classification is crucial for categorising European habitats, supporting European policy on nature conservation and implementing the Nature Restoration Law. To meet the growing demand for detailed and accurate habitat information, we provide spatial predictions for 260 EUNIS habitat types at hierarchical level 3, together with independent validation and uncertainty analyses.\n  Using ensemble machine learning models, together with high-resolution satellite imagery and ecologically meaningful climatic, topographic and edaphic variables, we produced a European habitat map indica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13649","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/2506.13649/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":"2026-07-05T11:22:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hV2gcvEBujdv6WqiEsQFCUXzhtU6M9ITCWCk/browRoRU07CTYClnVJaFLIOXHPO5F/+d1Jre3z0noZ4asPdDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:20:53.839254Z"},"content_sha256":"7d2e8186cff7b2b51bf66457d29ddf1bbb74dba0c86b4f4c782bfdb4089d7c67","schema_version":"1.0","event_id":"sha256:7d2e8186cff7b2b51bf66457d29ddf1bbb74dba0c86b4f4c782bfdb4089d7c67"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TSFTJ3UWX72LD5BV7VRYDL3EWW/bundle.json","state_url":"https://pith.science/pith/TSFTJ3UWX72LD5BV7VRYDL3EWW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TSFTJ3UWX72LD5BV7VRYDL3EWW/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":"2026-07-06T23:20:53Z","links":{"resolver":"https://pith.science/pith/TSFTJ3UWX72LD5BV7VRYDL3EWW","bundle":"https://pith.science/pith/TSFTJ3UWX72LD5BV7VRYDL3EWW/bundle.json","state":"https://pith.science/pith/TSFTJ3UWX72LD5BV7VRYDL3EWW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TSFTJ3UWX72LD5BV7VRYDL3EWW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TSFTJ3UWX72LD5BV7VRYDL3EWW","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":"55949122fd0f70243b08538a5e2fc4ff437bc5d236b1b8e3759b78f2e9c8538d","cross_cats_sorted":["cs.LG","physics.geo-ph","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-16T16:10:08Z","title_canon_sha256":"056463b6ec82590def8f195a7d67b0b3ce551bdafe2a1c21fe8da77caa3c7abf"},"schema_version":"1.0","source":{"id":"2506.13649","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13649","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13649v1","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13649","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"pith_short_12","alias_value":"TSFTJ3UWX72L","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"pith_short_16","alias_value":"TSFTJ3UWX72LD5BV","created_at":"2026-07-05T11:22:24Z"},{"alias_kind":"pith_short_8","alias_value":"TSFTJ3UW","created_at":"2026-07-05T11:22:24Z"}],"graph_snapshots":[{"event_id":"sha256:7d2e8186cff7b2b51bf66457d29ddf1bbb74dba0c86b4f4c782bfdb4089d7c67","target":"graph","created_at":"2026-07-05T11:22:24Z","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/2506.13649/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The EUNIS habitat classification is crucial for categorising European habitats, supporting European policy on nature conservation and implementing the Nature Restoration Law. To meet the growing demand for detailed and accurate habitat information, we provide spatial predictions for 260 EUNIS habitat types at hierarchical level 3, together with independent validation and uncertainty analyses.\n  Using ensemble machine learning models, together with high-resolution satellite imagery and ecologically meaningful climatic, topographic and edaphic variables, we produced a European habitat map indica","authors_text":"Andra\\v{z} \\v{C}arni, Behl\\\"ul G\\\"uler, Borja Jim\\'enez-Alfaro, Emiliano Agrillo, Fabio Attorre, Gianmaria Bonari, Grzegorz Swacha, Idoia Biurrun, Jens-Christian Svenning, Jonathan Lenoir, Klaus Ecker, Milan Chytr\\'y, Renata \\'Cu\\v{s}terevska, Sander M\\\"ucher, Sara Si-Moussi, Stephan Hennekens, Tetiana Dziuba, Ute Jandt, Wanda De Keersmaecker, Wilfried Thuiller","cross_cats":["cs.LG","physics.geo-ph","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-16T16:10:08Z","title":"EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13649","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":"sha256:7f4fede6617f64b18ebd00a7cf775446d323051cd8fea14fe5043855b609e9e0","target":"record","created_at":"2026-07-05T11:22:24Z","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":"55949122fd0f70243b08538a5e2fc4ff437bc5d236b1b8e3759b78f2e9c8538d","cross_cats_sorted":["cs.LG","physics.geo-ph","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2025-06-16T16:10:08Z","title_canon_sha256":"056463b6ec82590def8f195a7d67b0b3ce551bdafe2a1c21fe8da77caa3c7abf"},"schema_version":"1.0","source":{"id":"2506.13649","kind":"arxiv","version":1}},"canonical_sha256":"9c8b34ee96bff4b1f435fd6381af64b59075ba1b01be23b0eb7199c241c0749f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c8b34ee96bff4b1f435fd6381af64b59075ba1b01be23b0eb7199c241c0749f","first_computed_at":"2026-07-05T11:22:24.106938Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:24.106938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qx+DZWJBQxlIG30fvFl5WAvfleyAhPqzhrqGz4Vq4exywM062upOLmW2bJwwmgIrswQwxoDAbJz3wmS2TJdkAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:24.107502Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13649","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f4fede6617f64b18ebd00a7cf775446d323051cd8fea14fe5043855b609e9e0","sha256:7d2e8186cff7b2b51bf66457d29ddf1bbb74dba0c86b4f4c782bfdb4089d7c67"],"state_sha256":"084bd32acdb0305e6557ec21c5dc00dd9d5bc3f799c9100f858ba948f225c66b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QKUpqY2kLxUMCfq8cHbkp59ye5qEWPbM8cTCZjb/WYxuRfRjAdpVMV+40IGu70pApkmmEqGnOvYMFfqpaaPoDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:20:53.841198Z","bundle_sha256":"2015f1ed888c2977eb899f622963c0c5bdb1b17d3db389b2a81cd98d5af0358e"}}