{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CWVQ6VLTYPMI66L7HHAAX7YWTJ","short_pith_number":"pith:CWVQ6VLT","canonical_record":{"source":{"id":"2502.17879","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-25T06:07:46Z","cross_cats_sorted":[],"title_canon_sha256":"d3ddda7efed4f4d998436778323fa490a1b9e53a80c521519758f3621613e63a","abstract_canon_sha256":"d31c471940c6c40f343193ad55c99538204e3b4ce53e83d38f0f9f3ebcfdc702"},"schema_version":"1.0"},"canonical_sha256":"15ab0f5573c3d88f797f39c00bff169a6a7e6f06697553cb760a8904aa934644","source":{"kind":"arxiv","id":"2502.17879","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17879","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17879v1","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17879","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"CWVQ6VLTYPMI","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"CWVQ6VLTYPMI66L7","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"CWVQ6VLT","created_at":"2026-07-05T10:19:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CWVQ6VLTYPMI66L7HHAAX7YWTJ","target":"record","payload":{"canonical_record":{"source":{"id":"2502.17879","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-25T06:07:46Z","cross_cats_sorted":[],"title_canon_sha256":"d3ddda7efed4f4d998436778323fa490a1b9e53a80c521519758f3621613e63a","abstract_canon_sha256":"d31c471940c6c40f343193ad55c99538204e3b4ce53e83d38f0f9f3ebcfdc702"},"schema_version":"1.0"},"canonical_sha256":"15ab0f5573c3d88f797f39c00bff169a6a7e6f06697553cb760a8904aa934644","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:45.418777Z","signature_b64":"s1/tLmurtz8sPLGKhXD4qchsdzM2dHQk8pa79OyvakvVgHaFFhvHyA/6Vt44seHTWhFiqpBtVMy8Zn1fDbqLAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15ab0f5573c3d88f797f39c00bff169a6a7e6f06697553cb760a8904aa934644","last_reissued_at":"2026-07-05T10:19:45.418366Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:45.418366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.17879","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":"2026-07-05T10:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JkbU+f0qqqkTvDbV9KVukfXmcTw8fC4fj0G1NcsTbEVVCTWBVY7RRUe2xqvqPPjspbwZRJvgdBp8+BNdvLW+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:39:59.400117Z"},"content_sha256":"489899223614799ac436a094601dc9805de86d75e8bebdf095a34a2aa4d664f5","schema_version":"1.0","event_id":"sha256:489899223614799ac436a094601dc9805de86d75e8bebdf095a34a2aa4d664f5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CWVQ6VLTYPMI66L7HHAAX7YWTJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiang He, Jiaqi Yang, Junye Liang, Peng Zhu, Rong Liu","submitted_at":"2025-02-25T06:07:46Z","abstract_excerpt":"Due to the difficulty of obtaining labeled data for hyperspectral images (HSIs), cross-scene classification has emerged as a widely adopted approach in the remote sensing community. It involves training a model using labeled data from a source domain (SD) and unlabeled data from a target domain (TD), followed by inferencing on the TD. However, variations in the reflectance spectrum of the same object between the SD and the TD, as well as differences in the feature distribution of the same land cover class, pose significant challenges to the performance of cross-scene classification. To address"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17879","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/2502.17879/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":"2026-07-05T10:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CQbKbveuXG2FkBW6nPR61Sd8zquNieI0fvjhBjQEei8bgkwf3F1uug9LuV4zJcKKRBx84j7pyZTwoJvy5HjyDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:39:59.400599Z"},"content_sha256":"660ccfef5345c91c09dd3d9ead1376dba8f50d9a9bd18e7d03118b3b69d1c538","schema_version":"1.0","event_id":"sha256:660ccfef5345c91c09dd3d9ead1376dba8f50d9a9bd18e7d03118b3b69d1c538"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CWVQ6VLTYPMI66L7HHAAX7YWTJ/bundle.json","state_url":"https://pith.science/pith/CWVQ6VLTYPMI66L7HHAAX7YWTJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CWVQ6VLTYPMI66L7HHAAX7YWTJ/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":"2026-08-09T01:39:59Z","links":{"resolver":"https://pith.science/pith/CWVQ6VLTYPMI66L7HHAAX7YWTJ","bundle":"https://pith.science/pith/CWVQ6VLTYPMI66L7HHAAX7YWTJ/bundle.json","state":"https://pith.science/pith/CWVQ6VLTYPMI66L7HHAAX7YWTJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CWVQ6VLTYPMI66L7HHAAX7YWTJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CWVQ6VLTYPMI66L7HHAAX7YWTJ","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":"d31c471940c6c40f343193ad55c99538204e3b4ce53e83d38f0f9f3ebcfdc702","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-25T06:07:46Z","title_canon_sha256":"d3ddda7efed4f4d998436778323fa490a1b9e53a80c521519758f3621613e63a"},"schema_version":"1.0","source":{"id":"2502.17879","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17879","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17879v1","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17879","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"CWVQ6VLTYPMI","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"CWVQ6VLTYPMI66L7","created_at":"2026-07-05T10:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"CWVQ6VLT","created_at":"2026-07-05T10:19:45Z"}],"graph_snapshots":[{"event_id":"sha256:660ccfef5345c91c09dd3d9ead1376dba8f50d9a9bd18e7d03118b3b69d1c538","target":"graph","created_at":"2026-07-05T10:19:45Z","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/2502.17879/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the difficulty of obtaining labeled data for hyperspectral images (HSIs), cross-scene classification has emerged as a widely adopted approach in the remote sensing community. It involves training a model using labeled data from a source domain (SD) and unlabeled data from a target domain (TD), followed by inferencing on the TD. However, variations in the reflectance spectrum of the same object between the SD and the TD, as well as differences in the feature distribution of the same land cover class, pose significant challenges to the performance of cross-scene classification. To address","authors_text":"Jiang He, Jiaqi Yang, Junye Liang, Peng Zhu, Rong Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-25T06:07:46Z","title":"Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17879","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":"sha256:489899223614799ac436a094601dc9805de86d75e8bebdf095a34a2aa4d664f5","target":"record","created_at":"2026-07-05T10:19:45Z","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":"d31c471940c6c40f343193ad55c99538204e3b4ce53e83d38f0f9f3ebcfdc702","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-25T06:07:46Z","title_canon_sha256":"d3ddda7efed4f4d998436778323fa490a1b9e53a80c521519758f3621613e63a"},"schema_version":"1.0","source":{"id":"2502.17879","kind":"arxiv","version":1}},"canonical_sha256":"15ab0f5573c3d88f797f39c00bff169a6a7e6f06697553cb760a8904aa934644","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15ab0f5573c3d88f797f39c00bff169a6a7e6f06697553cb760a8904aa934644","first_computed_at":"2026-07-05T10:19:45.418366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:45.418366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s1/tLmurtz8sPLGKhXD4qchsdzM2dHQk8pa79OyvakvVgHaFFhvHyA/6Vt44seHTWhFiqpBtVMy8Zn1fDbqLAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:45.418777Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.17879","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:489899223614799ac436a094601dc9805de86d75e8bebdf095a34a2aa4d664f5","sha256:660ccfef5345c91c09dd3d9ead1376dba8f50d9a9bd18e7d03118b3b69d1c538"],"state_sha256":"8b0440021fc59dfc2e796e8be8beab8a261b4965d6a4daeb65f0deeccb4571f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LMnkaP+99se64cMZHKd6N9ylCYQ5fEjZKhqHik7/F3tFxgEr2T/Eolx4Q7d1KAQGA3e1tnkBim0BD3Je3iOzDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:39:59.403913Z","bundle_sha256":"b999498dd2cececf9635bab6337ab08b5cf42a54ad1bf88cabf5cd3ad9f23e7c"}}