{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:P2Y2TWT2NBBOHMRWNAGOBIWTE3","short_pith_number":"pith:P2Y2TWT2","canonical_record":{"source":{"id":"2403.00396","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T09:35:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"77c9cf0d4453c1d06ebcc032afc72aa6a9a7d297fc6b5bdc1f030429478e0e7d","abstract_canon_sha256":"26685b4bcf1cdc0df65bf88a97fe7cf638b459b904c2ea2355ff9d85af5b3d9d"},"schema_version":"1.0"},"canonical_sha256":"7eb1a9da7a6842e3b236680ce0a2d326f849f876e958667b6bc8fa9a1b576f9f","source":{"kind":"arxiv","id":"2403.00396","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00396","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00396v1","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00396","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"pith_short_12","alias_value":"P2Y2TWT2NBBO","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"pith_short_16","alias_value":"P2Y2TWT2NBBOHMRW","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"pith_short_8","alias_value":"P2Y2TWT2","created_at":"2026-07-05T09:00:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:P2Y2TWT2NBBOHMRWNAGOBIWTE3","target":"record","payload":{"canonical_record":{"source":{"id":"2403.00396","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T09:35:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"77c9cf0d4453c1d06ebcc032afc72aa6a9a7d297fc6b5bdc1f030429478e0e7d","abstract_canon_sha256":"26685b4bcf1cdc0df65bf88a97fe7cf638b459b904c2ea2355ff9d85af5b3d9d"},"schema_version":"1.0"},"canonical_sha256":"7eb1a9da7a6842e3b236680ce0a2d326f849f876e958667b6bc8fa9a1b576f9f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:00:57.933613Z","signature_b64":"y7nRMiTnoJktj8qrqGRkyykz8Nt8ssK8xLwMQZCiWHC+ylhyhnxt7+U95zHttBS8iLQbGZdfcvSPhASN0DtaBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7eb1a9da7a6842e3b236680ce0a2d326f849f876e958667b6bc8fa9a1b576f9f","last_reissued_at":"2026-07-05T09:00:57.933213Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:00:57.933213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.00396","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":"2026-07-05T09:00:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sIsletOPtEcXHKs1rZinm0fSAoIE7ySOEwBwbhWIWUhXYTjV5FR7jfaL6Fj8eiOBiM/FSifrbg+pYRubbnI4Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T05:21:14.635593Z"},"content_sha256":"7ec885d055d9318e37114493040c2da328d5c3d37055ea7c40f2f9ecc06fda9f","schema_version":"1.0","event_id":"sha256:7ec885d055d9318e37114493040c2da328d5c3d37055ea7c40f2f9ecc06fda9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:P2Y2TWT2NBBOHMRWNAGOBIWTE3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Athanasios Tragakis, Chaitanya Kaul, Daniele Faccio, Fani Deligianni, Hang Dai, Qianying Liu, Roderick Murray-Smith, Swalpa Kumar Roy","submitted_at":"2024-03-01T09:35:03Z","abstract_excerpt":"We propose a novel transformer-style architecture called Global-Local Filter Network (GLFNet) for medical image segmentation and demonstrate its state-of-the-art performance. We replace the self-attention mechanism with a combination of global-local filter blocks to optimize model efficiency. The global filters extract features from the whole feature map whereas the local filters are being adaptively created as 4x4 patches of the same feature map and add restricted scale information. In particular, the feature extraction takes place in the frequency domain rather than the commonly used spatial"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00396","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/2403.00396/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":"2026-07-05T09:00:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"86C+FbZsV/irtBjkFnewoxsPyZ3BaLqCXr5H2MhjdhzdZLAn20ieo8pTovd8tGcAZpS2E5n+5FsZEb0SWPvJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T05:21:14.636106Z"},"content_sha256":"40223a6f263df93173d2fdbc5bb3873e2657c59f1117b19a69bda2762669f792","schema_version":"1.0","event_id":"sha256:40223a6f263df93173d2fdbc5bb3873e2657c59f1117b19a69bda2762669f792"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P2Y2TWT2NBBOHMRWNAGOBIWTE3/bundle.json","state_url":"https://pith.science/pith/P2Y2TWT2NBBOHMRWNAGOBIWTE3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P2Y2TWT2NBBOHMRWNAGOBIWTE3/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":"2026-08-22T05:21:14Z","links":{"resolver":"https://pith.science/pith/P2Y2TWT2NBBOHMRWNAGOBIWTE3","bundle":"https://pith.science/pith/P2Y2TWT2NBBOHMRWNAGOBIWTE3/bundle.json","state":"https://pith.science/pith/P2Y2TWT2NBBOHMRWNAGOBIWTE3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P2Y2TWT2NBBOHMRWNAGOBIWTE3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:P2Y2TWT2NBBOHMRWNAGOBIWTE3","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":"26685b4bcf1cdc0df65bf88a97fe7cf638b459b904c2ea2355ff9d85af5b3d9d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T09:35:03Z","title_canon_sha256":"77c9cf0d4453c1d06ebcc032afc72aa6a9a7d297fc6b5bdc1f030429478e0e7d"},"schema_version":"1.0","source":{"id":"2403.00396","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.00396","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"arxiv_version","alias_value":"2403.00396v1","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.00396","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"pith_short_12","alias_value":"P2Y2TWT2NBBO","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"pith_short_16","alias_value":"P2Y2TWT2NBBOHMRW","created_at":"2026-07-05T09:00:57Z"},{"alias_kind":"pith_short_8","alias_value":"P2Y2TWT2","created_at":"2026-07-05T09:00:57Z"}],"graph_snapshots":[{"event_id":"sha256:40223a6f263df93173d2fdbc5bb3873e2657c59f1117b19a69bda2762669f792","target":"graph","created_at":"2026-07-05T09:00:57Z","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/2403.00396/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel transformer-style architecture called Global-Local Filter Network (GLFNet) for medical image segmentation and demonstrate its state-of-the-art performance. We replace the self-attention mechanism with a combination of global-local filter blocks to optimize model efficiency. The global filters extract features from the whole feature map whereas the local filters are being adaptively created as 4x4 patches of the same feature map and add restricted scale information. In particular, the feature extraction takes place in the frequency domain rather than the commonly used spatial","authors_text":"Athanasios Tragakis, Chaitanya Kaul, Daniele Faccio, Fani Deligianni, Hang Dai, Qianying Liu, Roderick Murray-Smith, Swalpa Kumar Roy","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T09:35:03Z","title":"GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.00396","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":"sha256:7ec885d055d9318e37114493040c2da328d5c3d37055ea7c40f2f9ecc06fda9f","target":"record","created_at":"2026-07-05T09:00:57Z","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":"26685b4bcf1cdc0df65bf88a97fe7cf638b459b904c2ea2355ff9d85af5b3d9d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-01T09:35:03Z","title_canon_sha256":"77c9cf0d4453c1d06ebcc032afc72aa6a9a7d297fc6b5bdc1f030429478e0e7d"},"schema_version":"1.0","source":{"id":"2403.00396","kind":"arxiv","version":1}},"canonical_sha256":"7eb1a9da7a6842e3b236680ce0a2d326f849f876e958667b6bc8fa9a1b576f9f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7eb1a9da7a6842e3b236680ce0a2d326f849f876e958667b6bc8fa9a1b576f9f","first_computed_at":"2026-07-05T09:00:57.933213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:00:57.933213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y7nRMiTnoJktj8qrqGRkyykz8Nt8ssK8xLwMQZCiWHC+ylhyhnxt7+U95zHttBS8iLQbGZdfcvSPhASN0DtaBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:00:57.933613Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.00396","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ec885d055d9318e37114493040c2da328d5c3d37055ea7c40f2f9ecc06fda9f","sha256:40223a6f263df93173d2fdbc5bb3873e2657c59f1117b19a69bda2762669f792"],"state_sha256":"6b3bc060ff4776309f9b0ebdffcb504fe5f58e49c3fc454c06ac6744b99f23bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MnTqgtj0NmMSwHyTs/XItp0BudnacBFGjvsN6ChyQwqg0fDfdN1mcei+HwrfTZjGjZAwHMSyK1CKw78s0hdKBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T05:21:14.640900Z","bundle_sha256":"0b0d027c10c74a448697b4886f4d78067d9857eaf12fff5bac8fbc4ee1a91777"}}