{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WAPBVC4OL3BVW6FDFHTF6WDHEB","short_pith_number":"pith:WAPBVC4O","canonical_record":{"source":{"id":"2605.19605","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T09:43:29Z","cross_cats_sorted":[],"title_canon_sha256":"464d89083c8d198e301785cf2f59648e4add94d1a27350dfa1be0438bfb2b2df","abstract_canon_sha256":"890f8b1edb55b8a0adafde36006bbfac07e68ba1e484eb94d18917b7666143bc"},"schema_version":"1.0"},"canonical_sha256":"b01e1a8b8e5ec35b78a329e65f5867206a49c2da8262d2662532cb93d1f3d457","source":{"kind":"arxiv","id":"2605.19605","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19605","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19605v1","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19605","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"pith_short_12","alias_value":"WAPBVC4OL3BV","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"pith_short_16","alias_value":"WAPBVC4OL3BVW6FD","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"pith_short_8","alias_value":"WAPBVC4O","created_at":"2026-05-20T01:05:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WAPBVC4OL3BVW6FDFHTF6WDHEB","target":"record","payload":{"canonical_record":{"source":{"id":"2605.19605","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T09:43:29Z","cross_cats_sorted":[],"title_canon_sha256":"464d89083c8d198e301785cf2f59648e4add94d1a27350dfa1be0438bfb2b2df","abstract_canon_sha256":"890f8b1edb55b8a0adafde36006bbfac07e68ba1e484eb94d18917b7666143bc"},"schema_version":"1.0"},"canonical_sha256":"b01e1a8b8e5ec35b78a329e65f5867206a49c2da8262d2662532cb93d1f3d457","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:05:54.017537Z","signature_b64":"wcF+7oCldDD05yZ6v7WeU1fKfC97uCkhr6Zta3e63hbsboV6B1DvY6161RV1pd+G0XJIrqXpjsx1byDP4eJfBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b01e1a8b8e5ec35b78a329e65f5867206a49c2da8262d2662532cb93d1f3d457","last_reissued_at":"2026-05-20T01:05:54.016854Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:05:54.016854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.19605","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":"2026-05-20T01:05:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9/ck6ckfW/qyvhV6Uid/wlgEtNuu+Z56v5fNNlka/6dB89bICQjSnKdqP0euBw5RzfICo2P0Rs+snEJ2jVT7Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T18:33:25.803892Z"},"content_sha256":"91fa6ccdde168e36cbf6b60ace034c53c0fe671af1d2e1ffe14a1b8867f894a8","schema_version":"1.0","event_id":"sha256:91fa6ccdde168e36cbf6b60ace034c53c0fe671af1d2e1ffe14a1b8867f894a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WAPBVC4OL3BVW6FDFHTF6WDHEB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"deadtrees.earth-aerial: A Multi-Resolution Aerial Image Dataset for Tree Cover and Mortality Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aaron Sheppard, Ayushi Sharma, Belqis Ahmadi, Clemens Mosig, Jan Dirk Wegner, Janusch Vajna-Jehle, Jonathan Schmid, Lukas Drees, Nathan Jacobs, Paul Neumeier, Salim Soltani, Teja Kattenborn","submitted_at":"2026-05-19T09:43:29Z","abstract_excerpt":"Forests worldwide are increasingly threatened by climate change and disturbances such as fire, pests, and pathogens, creating an urgent need for scalable monitoring of tree cover and tree mortality. Aerial imagery from drones and aircraft is a key data source for detailed and large-scale mapping of tree crowns and mortality. However, related progress is limited by the lack of globally representative, harmonized datasets for joint segmentation of tree cover and mortality. We introduce two novel, open, machine-learning-ready datasets to enable joint segmentation of tree cover and tree mortality "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19605","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/2605.19605/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":"2026-05-20T01:05:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t3TMfABCOW8bAlpO/dIuRhx+NX2te93JSyyRz+yiWO3sRw8KPtXLsljxnVCoQEqWEHeJejoiAiA+9Kb6oc3EAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T18:33:25.804271Z"},"content_sha256":"1f562e31b29687006e13bb24c23ce82be04f267443a72ce0d2a5ba6e4abeb1b8","schema_version":"1.0","event_id":"sha256:1f562e31b29687006e13bb24c23ce82be04f267443a72ce0d2a5ba6e4abeb1b8"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:WAPBVC4OL3BVW6FDFHTF6WDHEB","target":"integrity","payload":{"note":"DOI '10.35097/538' as printed in the bibliography is syntactically invalid and cannot resolve.","snippet":"Schiefer, F., Frey, J., Kattenborn, T.: Fortress: Forest tree species segmentation in very-high resolution uav-based orthomosaics (2022). https://doi.org/10.35097/538, https://doi.org/ 10.35097/538","arxiv_id":"2605.19605","detector":"doi_compliance","evidence":{"ref_index":30,"raw_excerpt":"Schiefer, F., Frey, J., Kattenborn, T.: Fortress: Forest tree species segmentation in very-high resolution uav-based orthomosaics (2022). https://doi.org/10.35097/538, https://doi.org/ 10.35097/538","verdict_class":"incontrovertible","doi_as_printed":"10.35097/538"},"severity":"critical","ref_index":30,"audited_at":"2026-05-20T05:39:10.396374Z","event_type":"pith.integrity.v1","detected_doi":"10.35097/538","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"broken_identifier","evidence_hash":"fc93ddc678c110e1efa206b753a81ed42521ea8bc41b2ea079e52093b9a35e73","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4879,"payload_sha256":"de0a5d03442cbbde832ec7c5b92d9d4e10f1e0a1332f11ff425a77818bd52391","signature_b64":"Yge+8u6yFRkdVeE/lz4E6ffOZ8Ofnx2YAtVwIadDjuJYrVv3TUpvHjGv7g37h8V7Yis0nqC32xoNbiuSU8ceCA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T05:42:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wALXK6AF5TAONmnR0cRFxhNjTPXT6IxuqqlnfIk16AtcQ5QyWZqD20+UiCpovBdoo+l0M3YvzY1CagR5ItZyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T18:33:25.805285Z"},"content_sha256":"a96680139a96cee119ae309a9aef2ad973dafc7a7fbf0fb7f03ce0e5a75698c8","schema_version":"1.0","event_id":"sha256:a96680139a96cee119ae309a9aef2ad973dafc7a7fbf0fb7f03ce0e5a75698c8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WAPBVC4OL3BVW6FDFHTF6WDHEB/bundle.json","state_url":"https://pith.science/pith/WAPBVC4OL3BVW6FDFHTF6WDHEB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WAPBVC4OL3BVW6FDFHTF6WDHEB/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":"2026-05-20T18:33:25Z","links":{"resolver":"https://pith.science/pith/WAPBVC4OL3BVW6FDFHTF6WDHEB","bundle":"https://pith.science/pith/WAPBVC4OL3BVW6FDFHTF6WDHEB/bundle.json","state":"https://pith.science/pith/WAPBVC4OL3BVW6FDFHTF6WDHEB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WAPBVC4OL3BVW6FDFHTF6WDHEB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WAPBVC4OL3BVW6FDFHTF6WDHEB","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"890f8b1edb55b8a0adafde36006bbfac07e68ba1e484eb94d18917b7666143bc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T09:43:29Z","title_canon_sha256":"464d89083c8d198e301785cf2f59648e4add94d1a27350dfa1be0438bfb2b2df"},"schema_version":"1.0","source":{"id":"2605.19605","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19605","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19605v1","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19605","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"pith_short_12","alias_value":"WAPBVC4OL3BV","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"pith_short_16","alias_value":"WAPBVC4OL3BVW6FD","created_at":"2026-05-20T01:05:54Z"},{"alias_kind":"pith_short_8","alias_value":"WAPBVC4O","created_at":"2026-05-20T01:05:54Z"}],"graph_snapshots":[{"event_id":"sha256:1f562e31b29687006e13bb24c23ce82be04f267443a72ce0d2a5ba6e4abeb1b8","target":"graph","created_at":"2026-05-20T01:05:54Z","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/2605.19605/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Forests worldwide are increasingly threatened by climate change and disturbances such as fire, pests, and pathogens, creating an urgent need for scalable monitoring of tree cover and tree mortality. Aerial imagery from drones and aircraft is a key data source for detailed and large-scale mapping of tree crowns and mortality. However, related progress is limited by the lack of globally representative, harmonized datasets for joint segmentation of tree cover and mortality. We introduce two novel, open, machine-learning-ready datasets to enable joint segmentation of tree cover and tree mortality ","authors_text":"Aaron Sheppard, Ayushi Sharma, Belqis Ahmadi, Clemens Mosig, Jan Dirk Wegner, Janusch Vajna-Jehle, Jonathan Schmid, Lukas Drees, Nathan Jacobs, Paul Neumeier, Salim Soltani, Teja Kattenborn","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T09:43:29Z","title":"deadtrees.earth-aerial: A Multi-Resolution Aerial Image Dataset for Tree Cover and Mortality Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19605","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":"sha256:91fa6ccdde168e36cbf6b60ace034c53c0fe671af1d2e1ffe14a1b8867f894a8","target":"record","created_at":"2026-05-20T01:05:54Z","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":"890f8b1edb55b8a0adafde36006bbfac07e68ba1e484eb94d18917b7666143bc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T09:43:29Z","title_canon_sha256":"464d89083c8d198e301785cf2f59648e4add94d1a27350dfa1be0438bfb2b2df"},"schema_version":"1.0","source":{"id":"2605.19605","kind":"arxiv","version":1}},"canonical_sha256":"b01e1a8b8e5ec35b78a329e65f5867206a49c2da8262d2662532cb93d1f3d457","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b01e1a8b8e5ec35b78a329e65f5867206a49c2da8262d2662532cb93d1f3d457","first_computed_at":"2026-05-20T01:05:54.016854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:54.016854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wcF+7oCldDD05yZ6v7WeU1fKfC97uCkhr6Zta3e63hbsboV6B1DvY6161RV1pd+G0XJIrqXpjsx1byDP4eJfBA==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:54.017537Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.19605","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:91fa6ccdde168e36cbf6b60ace034c53c0fe671af1d2e1ffe14a1b8867f894a8","sha256:1f562e31b29687006e13bb24c23ce82be04f267443a72ce0d2a5ba6e4abeb1b8","sha256:a96680139a96cee119ae309a9aef2ad973dafc7a7fbf0fb7f03ce0e5a75698c8"],"state_sha256":"1f906ad2185dc3cd1821e45f90b9722afcadac794646258d6dacb6e896600a10"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uypo13OlvP4fbOfwX+JrsIXa3Vw0eDGs+qVYGCVgYu80dfebxAmTKPXDCroXHeNM7Q4kEePkebClqZKM3DMzBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T18:33:25.807519Z","bundle_sha256":"e147989e50110837982564e281c036d9e0c1f8a0c3965ff816d9cf3e0a392ab4"}}