{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VZM6UFA3DZRADIQS43DPOCON45","short_pith_number":"pith:VZM6UFA3","canonical_record":{"source":{"id":"2507.14790","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T02:30:34Z","cross_cats_sorted":[],"title_canon_sha256":"b9fa6f521146e2acd88538e902221a01b4a0c27be80dbf2afa7a4e639d2de8ef","abstract_canon_sha256":"04592dc96b8bc96b4308480229b523c4d77f7519c43b93c80aa54b2b8267bedc"},"schema_version":"1.0"},"canonical_sha256":"ae59ea141b1e6201a212e6c6f709cde7745536c8386fbe760a97645325bea7d3","source":{"kind":"arxiv","id":"2507.14790","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14790","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14790v1","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14790","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"pith_short_12","alias_value":"VZM6UFA3DZRA","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"pith_short_16","alias_value":"VZM6UFA3DZRADIQS","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"pith_short_8","alias_value":"VZM6UFA3","created_at":"2026-07-05T11:40:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VZM6UFA3DZRADIQS43DPOCON45","target":"record","payload":{"canonical_record":{"source":{"id":"2507.14790","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T02:30:34Z","cross_cats_sorted":[],"title_canon_sha256":"b9fa6f521146e2acd88538e902221a01b4a0c27be80dbf2afa7a4e639d2de8ef","abstract_canon_sha256":"04592dc96b8bc96b4308480229b523c4d77f7519c43b93c80aa54b2b8267bedc"},"schema_version":"1.0"},"canonical_sha256":"ae59ea141b1e6201a212e6c6f709cde7745536c8386fbe760a97645325bea7d3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:13.641873Z","signature_b64":"YvXjg34byfNGAutBp8OrRQ02yPiPRYBWpUJeJD2pd4i6XmgqhtgCBzt8z3dyM4bsn5GKcv76ZDSx/eDtbH3TAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae59ea141b1e6201a212e6c6f709cde7745536c8386fbe760a97645325bea7d3","last_reissued_at":"2026-07-05T11:40:13.641332Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:13.641332Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.14790","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":"2026-07-05T11:40:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bQmcWNKYAjzcdwFnVaPcCvarQAhGczOq7Zb3MAN7mWg16nPJra7jPgcMrOxUhk+9/vIt7YELND2k9BPdyv86Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:51:21.438299Z"},"content_sha256":"004afc56a923ff4d294e4704acde2670a6c9417375fd54823bbfb72c3228b063","schema_version":"1.0","event_id":"sha256:004afc56a923ff4d294e4704acde2670a6c9417375fd54823bbfb72c3228b063"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VZM6UFA3DZRADIQS43DPOCON45","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chang Li, Guoping Xu, Wenbo Yue","submitted_at":"2025-07-20T02:30:34Z","abstract_excerpt":"In convolutional neural networks (CNNs), downsampling operations are crucial to model performance. Although traditional downsampling methods (such as maximum pooling and cross-row convolution) perform well in feature aggregation, receptive field expansion, and computational reduction, they may lead to the loss of key spatial information in semantic segmentation tasks, thereby affecting the pixel-by-pixel prediction accuracy.To this end, this study proposes a downsampling method based on information complementarity - Hybrid Pooling Downsampling (HPD). The core is to replace the traditional meth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14790","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/2507.14790/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":"2026-07-05T11:40:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3sKJMKcqAtIrg1f58EGdACYECYTs1Kmqx2t3H4DRbUXCbXopcSP1qbhyxLLMkCb5pqG8lwwl+NpVSX75h9rvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:51:21.438839Z"},"content_sha256":"99a4d163e2846c02c78b58482fd98187ff639b1584958485d841197108b41aa4","schema_version":"1.0","event_id":"sha256:99a4d163e2846c02c78b58482fd98187ff639b1584958485d841197108b41aa4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VZM6UFA3DZRADIQS43DPOCON45/bundle.json","state_url":"https://pith.science/pith/VZM6UFA3DZRADIQS43DPOCON45/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VZM6UFA3DZRADIQS43DPOCON45/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":"2026-08-11T06:51:21Z","links":{"resolver":"https://pith.science/pith/VZM6UFA3DZRADIQS43DPOCON45","bundle":"https://pith.science/pith/VZM6UFA3DZRADIQS43DPOCON45/bundle.json","state":"https://pith.science/pith/VZM6UFA3DZRADIQS43DPOCON45/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VZM6UFA3DZRADIQS43DPOCON45/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VZM6UFA3DZRADIQS43DPOCON45","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":"04592dc96b8bc96b4308480229b523c4d77f7519c43b93c80aa54b2b8267bedc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T02:30:34Z","title_canon_sha256":"b9fa6f521146e2acd88538e902221a01b4a0c27be80dbf2afa7a4e639d2de8ef"},"schema_version":"1.0","source":{"id":"2507.14790","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14790","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14790v1","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14790","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"pith_short_12","alias_value":"VZM6UFA3DZRA","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"pith_short_16","alias_value":"VZM6UFA3DZRADIQS","created_at":"2026-07-05T11:40:13Z"},{"alias_kind":"pith_short_8","alias_value":"VZM6UFA3","created_at":"2026-07-05T11:40:13Z"}],"graph_snapshots":[{"event_id":"sha256:99a4d163e2846c02c78b58482fd98187ff639b1584958485d841197108b41aa4","target":"graph","created_at":"2026-07-05T11:40:13Z","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/2507.14790/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In convolutional neural networks (CNNs), downsampling operations are crucial to model performance. Although traditional downsampling methods (such as maximum pooling and cross-row convolution) perform well in feature aggregation, receptive field expansion, and computational reduction, they may lead to the loss of key spatial information in semantic segmentation tasks, thereby affecting the pixel-by-pixel prediction accuracy.To this end, this study proposes a downsampling method based on information complementarity - Hybrid Pooling Downsampling (HPD). The core is to replace the traditional meth","authors_text":"Chang Li, Guoping Xu, Wenbo Yue","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T02:30:34Z","title":"A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14790","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":"sha256:004afc56a923ff4d294e4704acde2670a6c9417375fd54823bbfb72c3228b063","target":"record","created_at":"2026-07-05T11:40:13Z","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":"04592dc96b8bc96b4308480229b523c4d77f7519c43b93c80aa54b2b8267bedc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T02:30:34Z","title_canon_sha256":"b9fa6f521146e2acd88538e902221a01b4a0c27be80dbf2afa7a4e639d2de8ef"},"schema_version":"1.0","source":{"id":"2507.14790","kind":"arxiv","version":1}},"canonical_sha256":"ae59ea141b1e6201a212e6c6f709cde7745536c8386fbe760a97645325bea7d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae59ea141b1e6201a212e6c6f709cde7745536c8386fbe760a97645325bea7d3","first_computed_at":"2026-07-05T11:40:13.641332Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:13.641332Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YvXjg34byfNGAutBp8OrRQ02yPiPRYBWpUJeJD2pd4i6XmgqhtgCBzt8z3dyM4bsn5GKcv76ZDSx/eDtbH3TAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:13.641873Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.14790","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:004afc56a923ff4d294e4704acde2670a6c9417375fd54823bbfb72c3228b063","sha256:99a4d163e2846c02c78b58482fd98187ff639b1584958485d841197108b41aa4"],"state_sha256":"4e80ee1651303e89d213459be0d060d719e81c32d6b9b7e23b078d1fa078962a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jms5iEw/NwkYNWrX8b4ia8iFN3sr85rqQOSpF1m60A58kMsySf+P/6pAh4I8I+Jde2PDAniohTjQDTXdU7nDBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:51:21.445218Z","bundle_sha256":"0869faa31175427b0fd0a6863553a5828932a44082c1c2dc2c81f6371575829f"}}