{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2T6TWR24GIBBA7CYJXA2DH6SBO","short_pith_number":"pith:2T6TWR24","canonical_record":{"source":{"id":"2412.03192","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-04T10:25:53Z","cross_cats_sorted":[],"title_canon_sha256":"f3eeaf782455c97ecd88efb35439aa9c437611692bffb5b936d1c3eeecd18111","abstract_canon_sha256":"946e4340738098f5205ff54d66eb1cd2bd6c9bbb4eca711608ccfa5f93ef4e64"},"schema_version":"1.0"},"canonical_sha256":"d4fd3b475c3202107c584dc1a19fd20bb9fcc4cde574d93c5e505c3265bb3d9b","source":{"kind":"arxiv","id":"2412.03192","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03192","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03192v2","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03192","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_12","alias_value":"2T6TWR24GIBB","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_16","alias_value":"2T6TWR24GIBBA7CY","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_8","alias_value":"2T6TWR24","created_at":"2026-07-05T10:33:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2T6TWR24GIBBA7CYJXA2DH6SBO","target":"record","payload":{"canonical_record":{"source":{"id":"2412.03192","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-04T10:25:53Z","cross_cats_sorted":[],"title_canon_sha256":"f3eeaf782455c97ecd88efb35439aa9c437611692bffb5b936d1c3eeecd18111","abstract_canon_sha256":"946e4340738098f5205ff54d66eb1cd2bd6c9bbb4eca711608ccfa5f93ef4e64"},"schema_version":"1.0"},"canonical_sha256":"d4fd3b475c3202107c584dc1a19fd20bb9fcc4cde574d93c5e505c3265bb3d9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:33:40.703733Z","signature_b64":"MoIxAkJVf5tGtPv6FRl5X2uPJ7v1u21T4no2+63T165+i50B29ngFFmtq+RxRO5HLvSVpRRoG3g71zO5xB/QAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4fd3b475c3202107c584dc1a19fd20bb9fcc4cde574d93c5e505c3265bb3d9b","last_reissued_at":"2026-07-05T10:33:40.702806Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:33:40.702806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.03192","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":"2026-07-05T10:33:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/i+KT1G+ATMkd/BTjPbnrCOFiX9SALgcULZIFIKBM0Xb2rRFiwCHiocttDy/RClvaN2ONCUFikWqTL2BrOcgCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:52:09.053499Z"},"content_sha256":"e2d82bc81d7113bc79d09c2515f04a5a666bb1f9cc88ba4a2ba8671554b9a978","schema_version":"1.0","event_id":"sha256:e2d82bc81d7113bc79d09c2515f04a5a666bb1f9cc88ba4a2ba8671554b9a978"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2T6TWR24GIBBA7CYJXA2DH6SBO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fabrizio Falchi, Gabriele Lagani, Giuseppe Amato, Luca Ciampi","submitted_at":"2024-12-04T10:25:53Z","abstract_excerpt":"We propose a novel bio-inspired semi-supervised learning approach for training downsampling-upsampling semantic segmentation architectures. The first stage does not use backpropagation. Rather, it exploits the Hebbian principle ``fire together, wire together'' as a local learning rule for updating the weights of both convolutional and transpose-convolutional layers, allowing unsupervised discovery of data features. In the second stage, the model is fine-tuned with standard backpropagation on a small subset of labeled data. We evaluate our methodology through experiments conducted on several wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03192","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/2412.03192/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":"2026-07-05T10:33:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Zw3bBMTgvkxhDXkN9WBjEdXK5+/UuGuRQvjp9NP5DAPgBQx4cTVGHKXLvuTF5tE2y93HciSt/ZACJ59BrQaCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:52:09.054308Z"},"content_sha256":"a37172c799ca8609c030116403d9d1ad8fe32048dc643198bbcc5401e585b3d1","schema_version":"1.0","event_id":"sha256:a37172c799ca8609c030116403d9d1ad8fe32048dc643198bbcc5401e585b3d1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2T6TWR24GIBBA7CYJXA2DH6SBO/bundle.json","state_url":"https://pith.science/pith/2T6TWR24GIBBA7CYJXA2DH6SBO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2T6TWR24GIBBA7CYJXA2DH6SBO/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":"2026-08-14T15:52:09Z","links":{"resolver":"https://pith.science/pith/2T6TWR24GIBBA7CYJXA2DH6SBO","bundle":"https://pith.science/pith/2T6TWR24GIBBA7CYJXA2DH6SBO/bundle.json","state":"https://pith.science/pith/2T6TWR24GIBBA7CYJXA2DH6SBO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2T6TWR24GIBBA7CYJXA2DH6SBO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2T6TWR24GIBBA7CYJXA2DH6SBO","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":"946e4340738098f5205ff54d66eb1cd2bd6c9bbb4eca711608ccfa5f93ef4e64","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-04T10:25:53Z","title_canon_sha256":"f3eeaf782455c97ecd88efb35439aa9c437611692bffb5b936d1c3eeecd18111"},"schema_version":"1.0","source":{"id":"2412.03192","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03192","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03192v2","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03192","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_12","alias_value":"2T6TWR24GIBB","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_16","alias_value":"2T6TWR24GIBBA7CY","created_at":"2026-07-05T10:33:40Z"},{"alias_kind":"pith_short_8","alias_value":"2T6TWR24","created_at":"2026-07-05T10:33:40Z"}],"graph_snapshots":[{"event_id":"sha256:a37172c799ca8609c030116403d9d1ad8fe32048dc643198bbcc5401e585b3d1","target":"graph","created_at":"2026-07-05T10:33:40Z","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/2412.03192/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel bio-inspired semi-supervised learning approach for training downsampling-upsampling semantic segmentation architectures. The first stage does not use backpropagation. Rather, it exploits the Hebbian principle ``fire together, wire together'' as a local learning rule for updating the weights of both convolutional and transpose-convolutional layers, allowing unsupervised discovery of data features. In the second stage, the model is fine-tuned with standard backpropagation on a small subset of labeled data. We evaluate our methodology through experiments conducted on several wi","authors_text":"Fabrizio Falchi, Gabriele Lagani, Giuseppe Amato, Luca Ciampi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-04T10:25:53Z","title":"Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03192","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:e2d82bc81d7113bc79d09c2515f04a5a666bb1f9cc88ba4a2ba8671554b9a978","target":"record","created_at":"2026-07-05T10:33:40Z","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":"946e4340738098f5205ff54d66eb1cd2bd6c9bbb4eca711608ccfa5f93ef4e64","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-04T10:25:53Z","title_canon_sha256":"f3eeaf782455c97ecd88efb35439aa9c437611692bffb5b936d1c3eeecd18111"},"schema_version":"1.0","source":{"id":"2412.03192","kind":"arxiv","version":2}},"canonical_sha256":"d4fd3b475c3202107c584dc1a19fd20bb9fcc4cde574d93c5e505c3265bb3d9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4fd3b475c3202107c584dc1a19fd20bb9fcc4cde574d93c5e505c3265bb3d9b","first_computed_at":"2026-07-05T10:33:40.702806Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:33:40.702806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MoIxAkJVf5tGtPv6FRl5X2uPJ7v1u21T4no2+63T165+i50B29ngFFmtq+RxRO5HLvSVpRRoG3g71zO5xB/QAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:33:40.703733Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.03192","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2d82bc81d7113bc79d09c2515f04a5a666bb1f9cc88ba4a2ba8671554b9a978","sha256:a37172c799ca8609c030116403d9d1ad8fe32048dc643198bbcc5401e585b3d1"],"state_sha256":"32c67103e157fc42b815bab4e81ee0cfc1cad2b4330718337c68a0bad7dfaf44"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y2XJ0higQByZUK4LjLaikZ+kDa0VBNQyZZeXe2QjaKjQEyh3VDTA/DdePGX4rRrAvjilL8q2ys5M+PsbV22MDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T15:52:09.060003Z","bundle_sha256":"a132bafa7af135ddd5044c9c7603d6ddd5fcfd5fc8233fd92f1db066593a9d27"}}