{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:E6AFEBTQIOW6GHCFZTGR3CDWG7","short_pith_number":"pith:E6AFEBTQ","canonical_record":{"source":{"id":"2510.03876","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-04T16:59:26Z","cross_cats_sorted":[],"title_canon_sha256":"aa5347e05df398bac525012389062a232759dd821ee1e827cbc737a858f60853","abstract_canon_sha256":"df41ec9ff63f5495c92a6c1823918aa5f6727590b7f8d911aedac631bdfc77de"},"schema_version":"1.0"},"canonical_sha256":"278052067043ade31c45cccd1d887637f16bda506434463246c510d6a33e75ac","source":{"kind":"arxiv","id":"2510.03876","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.03876","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"arxiv_version","alias_value":"2510.03876v2","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.03876","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"pith_short_12","alias_value":"E6AFEBTQIOW6","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"pith_short_16","alias_value":"E6AFEBTQIOW6GHCF","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"pith_short_8","alias_value":"E6AFEBTQ","created_at":"2026-06-01T01:03:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:E6AFEBTQIOW6GHCFZTGR3CDWG7","target":"record","payload":{"canonical_record":{"source":{"id":"2510.03876","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-04T16:59:26Z","cross_cats_sorted":[],"title_canon_sha256":"aa5347e05df398bac525012389062a232759dd821ee1e827cbc737a858f60853","abstract_canon_sha256":"df41ec9ff63f5495c92a6c1823918aa5f6727590b7f8d911aedac631bdfc77de"},"schema_version":"1.0"},"canonical_sha256":"278052067043ade31c45cccd1d887637f16bda506434463246c510d6a33e75ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:03:45.842923Z","signature_b64":"RDCfrS3TBiOjPAWuIffGpkeBnQNOo5ff4WNWk/pIpvwxAa0vDVbXg0l0lNS+cpS7QtNa0MI+Enon2ahHhsQqAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"278052067043ade31c45cccd1d887637f16bda506434463246c510d6a33e75ac","last_reissued_at":"2026-06-01T01:03:45.841957Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:03:45.841957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2510.03876","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-01T01:03:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KTGy0nfE7q3bvLXXstVdnuE4EEWm8okRw97hJyeVHl644Q2ipLSW8oIMvmkWit0auC9Wxw+dyQGwBc3UBQ4eDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T09:13:32.033027Z"},"content_sha256":"2c2c1aa0a4f94d7cce2d4d4c5bdaa03cdc9d339db6c1953696d0a6c255698fb7","schema_version":"1.0","event_id":"sha256:2c2c1aa0a4f94d7cce2d4d4c5bdaa03cdc9d339db6c1953696d0a6c255698fb7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:E6AFEBTQIOW6GHCFZTGR3CDWG7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Skin Lesion Classification Based on ResNet-50 Enhanced With Adaptive Spatial Feature Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fei Ding, Fengyi Zha, Guangzhen Yao, Peng Zhang, Runhao Liu","submitted_at":"2025-10-04T16:59:26Z","abstract_excerpt":"Skin cancer classification is challenging due to high inter-class similarity, intra-class variability, and artifacts in dermoscopic images. To address these issues, we propose an improved ResNet-50 with Adaptive Spatial Feature Fusion (ASFF), which adaptively integrates multi-scale semantic and surface features to refine representations and reduce overfitting. The ResNet-50 model is enhanced with an adaptive feature fusion mechanism to achieve more effective multi-scale feature extraction and improve overall performance. Specifically, a dual-branch design fuses high-level semantic and mid-leve"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.03876","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/2510.03876/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":"2026-06-01T01:03:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YBz0Gc4a3K8HgMduocAFiZv48eULt5p14VWhmoQE7ag0QkfRUUoPnanrgDQwsjBmye28MuBnstIPfOCHnoPRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T09:13:32.033423Z"},"content_sha256":"c3398399b3b431c8a49cfa8133e0fb09ed5aa88a3ca9eca47da75b7c596b3e21","schema_version":"1.0","event_id":"sha256:c3398399b3b431c8a49cfa8133e0fb09ed5aa88a3ca9eca47da75b7c596b3e21"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E6AFEBTQIOW6GHCFZTGR3CDWG7/bundle.json","state_url":"https://pith.science/pith/E6AFEBTQIOW6GHCFZTGR3CDWG7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E6AFEBTQIOW6GHCFZTGR3CDWG7/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":"2026-06-03T09:13:32Z","links":{"resolver":"https://pith.science/pith/E6AFEBTQIOW6GHCFZTGR3CDWG7","bundle":"https://pith.science/pith/E6AFEBTQIOW6GHCFZTGR3CDWG7/bundle.json","state":"https://pith.science/pith/E6AFEBTQIOW6GHCFZTGR3CDWG7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E6AFEBTQIOW6GHCFZTGR3CDWG7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:E6AFEBTQIOW6GHCFZTGR3CDWG7","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":"df41ec9ff63f5495c92a6c1823918aa5f6727590b7f8d911aedac631bdfc77de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-04T16:59:26Z","title_canon_sha256":"aa5347e05df398bac525012389062a232759dd821ee1e827cbc737a858f60853"},"schema_version":"1.0","source":{"id":"2510.03876","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.03876","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"arxiv_version","alias_value":"2510.03876v2","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.03876","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"pith_short_12","alias_value":"E6AFEBTQIOW6","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"pith_short_16","alias_value":"E6AFEBTQIOW6GHCF","created_at":"2026-06-01T01:03:45Z"},{"alias_kind":"pith_short_8","alias_value":"E6AFEBTQ","created_at":"2026-06-01T01:03:45Z"}],"graph_snapshots":[{"event_id":"sha256:c3398399b3b431c8a49cfa8133e0fb09ed5aa88a3ca9eca47da75b7c596b3e21","target":"graph","created_at":"2026-06-01T01:03:45Z","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/2510.03876/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Skin cancer classification is challenging due to high inter-class similarity, intra-class variability, and artifacts in dermoscopic images. To address these issues, we propose an improved ResNet-50 with Adaptive Spatial Feature Fusion (ASFF), which adaptively integrates multi-scale semantic and surface features to refine representations and reduce overfitting. The ResNet-50 model is enhanced with an adaptive feature fusion mechanism to achieve more effective multi-scale feature extraction and improve overall performance. Specifically, a dual-branch design fuses high-level semantic and mid-leve","authors_text":"Fei Ding, Fengyi Zha, Guangzhen Yao, Peng Zhang, Runhao Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-04T16:59:26Z","title":"Skin Lesion Classification Based on ResNet-50 Enhanced With Adaptive Spatial Feature Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.03876","kind":"arxiv","version":2},"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":"sha256:2c2c1aa0a4f94d7cce2d4d4c5bdaa03cdc9d339db6c1953696d0a6c255698fb7","target":"record","created_at":"2026-06-01T01:03:45Z","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":"df41ec9ff63f5495c92a6c1823918aa5f6727590b7f8d911aedac631bdfc77de","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-10-04T16:59:26Z","title_canon_sha256":"aa5347e05df398bac525012389062a232759dd821ee1e827cbc737a858f60853"},"schema_version":"1.0","source":{"id":"2510.03876","kind":"arxiv","version":2}},"canonical_sha256":"278052067043ade31c45cccd1d887637f16bda506434463246c510d6a33e75ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"278052067043ade31c45cccd1d887637f16bda506434463246c510d6a33e75ac","first_computed_at":"2026-06-01T01:03:45.841957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:45.841957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RDCfrS3TBiOjPAWuIffGpkeBnQNOo5ff4WNWk/pIpvwxAa0vDVbXg0l0lNS+cpS7QtNa0MI+Enon2ahHhsQqAA==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:45.842923Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.03876","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c2c1aa0a4f94d7cce2d4d4c5bdaa03cdc9d339db6c1953696d0a6c255698fb7","sha256:c3398399b3b431c8a49cfa8133e0fb09ed5aa88a3ca9eca47da75b7c596b3e21"],"state_sha256":"9e9392ee27cdc50f40513d8ea4061b0ae742e27c68ee967df316440d526a30a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XGNXQhG1Y57l0ft0n8Tip0Y8qtI1mcyS0gAmvZo1R51EkGoMv/+2/FhcO/7c4HnUJ0RnfRkNyUen9WBotLsUCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T09:13:32.035407Z","bundle_sha256":"79a19755e2cad6471e5bcb2173bf749b9903980d36f9e5419ce9b3b657039d57"}}