{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VDHIM64MOVVMNBFDYMTYTTKYPW","short_pith_number":"pith:VDHIM64M","canonical_record":{"source":{"id":"2412.19492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T07:20:30Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"a761663ef6c731ee27640915351928ea365e2e78c94106befd15af58781b052a","abstract_canon_sha256":"3beb7b0edaa97695d445d195fc73b599cddf403a70a4eeed15dd1460a4b2ce2b"},"schema_version":"1.0"},"canonical_sha256":"a8ce867b8c756ac684a3c32789cd587da72f53e143fea7d4465259d382ecb488","source":{"kind":"arxiv","id":"2412.19492","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.19492","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"arxiv_version","alias_value":"2412.19492v1","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.19492","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"pith_short_12","alias_value":"VDHIM64MOVVM","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"pith_short_16","alias_value":"VDHIM64MOVVMNBFD","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"pith_short_8","alias_value":"VDHIM64M","created_at":"2026-07-05T09:54:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VDHIM64MOVVMNBFDYMTYTTKYPW","target":"record","payload":{"canonical_record":{"source":{"id":"2412.19492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T07:20:30Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"a761663ef6c731ee27640915351928ea365e2e78c94106befd15af58781b052a","abstract_canon_sha256":"3beb7b0edaa97695d445d195fc73b599cddf403a70a4eeed15dd1460a4b2ce2b"},"schema_version":"1.0"},"canonical_sha256":"a8ce867b8c756ac684a3c32789cd587da72f53e143fea7d4465259d382ecb488","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:36.666255Z","signature_b64":"D8ZxLylO8XD2O0sY2oCgt3J6ZVpBUEPZzcuwZGT7vbnGa+Qrt4cSiNZil1WzcJ5tbwUtfLijPl3J2napKYIrDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8ce867b8c756ac684a3c32789cd587da72f53e143fea7d4465259d382ecb488","last_reissued_at":"2026-07-05T09:54:36.665759Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:36.665759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.19492","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":"2026-07-05T09:54:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t/clxV+SWfe2PyPEH7GPMfBaL9clqaFXXN3QtlvfXSaF7bm5kHOGe0/LK0pszg4US3VekIz8n/MmlzryIO/0BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:39:20.604135Z"},"content_sha256":"c3b9f5cd6cb945c8ca97f9b4841d674fcbe3291aeff5c86847231e90b0e480d2","schema_version":"1.0","event_id":"sha256:c3b9f5cd6cb945c8ca97f9b4841d674fcbe3291aeff5c86847231e90b0e480d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VDHIM64MOVVMNBFDYMTYTTKYPW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Chengyang Ye, Pingping Zhang, Yunzhi Zhuge","submitted_at":"2024-12-27T07:20:30Z","abstract_excerpt":"Recently, deep learning based methods have revolutionized remote sensing image segmentation. However, these methods usually rely on a pre-defined semantic class set, thus needing additional image annotation and model training when adapting to new classes. More importantly, they are unable to segment arbitrary semantic classes. In this work, we introduce Open-Vocabulary Remote Sensing Image Semantic Segmentation (OVRSISS), which aims to segment arbitrary semantic classes in remote sensing images. To address the lack of OVRSISS datasets, we develop LandDiscover50K, a comprehensive dataset of 51,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.19492","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/2412.19492/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":"2026-07-05T09:54:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jMn4kZucymqepBTCs8V2gK/mTS0ca+L1JsSFUVCRHY3d/8YUYf0hgrtC0E0kswhRzIPPA6ikbWARf3K1Pfs4AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:39:20.604664Z"},"content_sha256":"729c708175cbda470dae11290d8baae784a13247f4208e14b4dd8f5dae2852a4","schema_version":"1.0","event_id":"sha256:729c708175cbda470dae11290d8baae784a13247f4208e14b4dd8f5dae2852a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VDHIM64MOVVMNBFDYMTYTTKYPW/bundle.json","state_url":"https://pith.science/pith/VDHIM64MOVVMNBFDYMTYTTKYPW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VDHIM64MOVVMNBFDYMTYTTKYPW/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":"2026-08-08T21:39:20Z","links":{"resolver":"https://pith.science/pith/VDHIM64MOVVMNBFDYMTYTTKYPW","bundle":"https://pith.science/pith/VDHIM64MOVVMNBFDYMTYTTKYPW/bundle.json","state":"https://pith.science/pith/VDHIM64MOVVMNBFDYMTYTTKYPW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VDHIM64MOVVMNBFDYMTYTTKYPW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VDHIM64MOVVMNBFDYMTYTTKYPW","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":"3beb7b0edaa97695d445d195fc73b599cddf403a70a4eeed15dd1460a4b2ce2b","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T07:20:30Z","title_canon_sha256":"a761663ef6c731ee27640915351928ea365e2e78c94106befd15af58781b052a"},"schema_version":"1.0","source":{"id":"2412.19492","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.19492","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"arxiv_version","alias_value":"2412.19492v1","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.19492","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"pith_short_12","alias_value":"VDHIM64MOVVM","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"pith_short_16","alias_value":"VDHIM64MOVVMNBFD","created_at":"2026-07-05T09:54:36Z"},{"alias_kind":"pith_short_8","alias_value":"VDHIM64M","created_at":"2026-07-05T09:54:36Z"}],"graph_snapshots":[{"event_id":"sha256:729c708175cbda470dae11290d8baae784a13247f4208e14b4dd8f5dae2852a4","target":"graph","created_at":"2026-07-05T09:54:36Z","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/2412.19492/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, deep learning based methods have revolutionized remote sensing image segmentation. However, these methods usually rely on a pre-defined semantic class set, thus needing additional image annotation and model training when adapting to new classes. More importantly, they are unable to segment arbitrary semantic classes. In this work, we introduce Open-Vocabulary Remote Sensing Image Semantic Segmentation (OVRSISS), which aims to segment arbitrary semantic classes in remote sensing images. To address the lack of OVRSISS datasets, we develop LandDiscover50K, a comprehensive dataset of 51,","authors_text":"Chengyang Ye, Pingping Zhang, Yunzhi Zhuge","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T07:20:30Z","title":"Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.19492","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:c3b9f5cd6cb945c8ca97f9b4841d674fcbe3291aeff5c86847231e90b0e480d2","target":"record","created_at":"2026-07-05T09:54:36Z","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":"3beb7b0edaa97695d445d195fc73b599cddf403a70a4eeed15dd1460a4b2ce2b","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-27T07:20:30Z","title_canon_sha256":"a761663ef6c731ee27640915351928ea365e2e78c94106befd15af58781b052a"},"schema_version":"1.0","source":{"id":"2412.19492","kind":"arxiv","version":1}},"canonical_sha256":"a8ce867b8c756ac684a3c32789cd587da72f53e143fea7d4465259d382ecb488","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8ce867b8c756ac684a3c32789cd587da72f53e143fea7d4465259d382ecb488","first_computed_at":"2026-07-05T09:54:36.665759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:36.665759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D8ZxLylO8XD2O0sY2oCgt3J6ZVpBUEPZzcuwZGT7vbnGa+Qrt4cSiNZil1WzcJ5tbwUtfLijPl3J2napKYIrDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:36.666255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.19492","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3b9f5cd6cb945c8ca97f9b4841d674fcbe3291aeff5c86847231e90b0e480d2","sha256:729c708175cbda470dae11290d8baae784a13247f4208e14b4dd8f5dae2852a4"],"state_sha256":"827a63948766832cc919dab11233a44436c009a6a53b4ea47ad1f82cf8fe9f8b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ky4g2/L4kPIvDkE1tbeoPMbfQJyDhpW04lghLVadheIXaeEqfNptYmhvBdrEqtTVO+cmm1rw5QSENtaShEDNBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:39:20.609687Z","bundle_sha256":"08926b09d23f23af058f33aa20d18a5a89fdf41cd88cd2d9ab1a421afed5b7b8"}}