{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DWF6UONXAEUCA3OMY47NMMKEPM","short_pith_number":"pith:DWF6UONX","canonical_record":{"source":{"id":"2507.19926","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2025-07-26T12:06:05Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"49e05c6064e71dda1cdb2e5971b04e3b9c80f32f3117e78996de419d37de6e78","abstract_canon_sha256":"4e7034ad8d1b01509bc76b12297763b7d25708ebab37937f0431934eb5f7a70f"},"schema_version":"1.0"},"canonical_sha256":"1d8bea39b70128206dccc73ed631447b12315c67926d0a829ee0fadea7526522","source":{"kind":"arxiv","id":"2507.19926","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19926","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19926v1","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19926","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"pith_short_12","alias_value":"DWF6UONXAEUC","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"pith_short_16","alias_value":"DWF6UONXAEUCA3OM","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"pith_short_8","alias_value":"DWF6UONX","created_at":"2026-07-05T11:43:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DWF6UONXAEUCA3OMY47NMMKEPM","target":"record","payload":{"canonical_record":{"source":{"id":"2507.19926","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2025-07-26T12:06:05Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"49e05c6064e71dda1cdb2e5971b04e3b9c80f32f3117e78996de419d37de6e78","abstract_canon_sha256":"4e7034ad8d1b01509bc76b12297763b7d25708ebab37937f0431934eb5f7a70f"},"schema_version":"1.0"},"canonical_sha256":"1d8bea39b70128206dccc73ed631447b12315c67926d0a829ee0fadea7526522","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:45.039387Z","signature_b64":"SbCE1J+gVPmfZqhNvh9tIBBcu8Yk11eVATDIczHH1GDXuqa0GNhgli2wpJ1OlAJ3NhK/EqX4icFzxZHmOHzcBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d8bea39b70128206dccc73ed631447b12315c67926d0a829ee0fadea7526522","last_reissued_at":"2026-07-05T11:43:45.038947Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:45.038947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.19926","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":"2026-07-05T11:43:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DWWE3e1yPzFctZMknpJgIyR8Wv8i87MFFGyfJMJgdJPv1BG9O+IW6nF5OvMc4TBs2Gfu1t94xwqV+UbKT66IAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:42:43.496591Z"},"content_sha256":"62565d21cdcff695615f8eb21c3a6a58c822df1288f651c92c157c1b7b7c71ed","schema_version":"1.0","event_id":"sha256:62565d21cdcff695615f8eb21c3a6a58c822df1288f651c92c157c1b7b7c71ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DWF6UONXAEUCA3OMY47NMMKEPM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Fast Parallel Median Filtering Algorithm Using Hierarchical Tiling","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.DC","authors_text":"Louis Sugy (NVIDIA)","submitted_at":"2025-07-26T12:06:05Z","abstract_excerpt":"Median filtering is a non-linear smoothing technique widely used in digital image processing to remove noise while retaining sharp edges. It is particularly well suited to removing outliers (impulse noise) or granular artifacts (speckle noise). However, the high computational cost of median filtering can be prohibitive. Sorting-based algorithms excel with small kernels but scale poorly with increasing kernel diameter, in contrast to constant-time methods characterized by higher constant factors but better scalability, such as histogram-based approaches or the 2D wavelet matrix.\n  This paper in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19926","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/2507.19926/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":"2026-07-05T11:43:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"milb0mbX+wIMCA2T5cwiJVGr50EddGDxH9i2MzypSxq+y0huGU5qjCH0h6OiDFdOPqOCoj6n4O7E+mGW3F4uCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:42:43.497097Z"},"content_sha256":"21bc9ef5cfc44737ce932da2366ed09dc128685cd486bdc666d1abd956fbd35e","schema_version":"1.0","event_id":"sha256:21bc9ef5cfc44737ce932da2366ed09dc128685cd486bdc666d1abd956fbd35e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DWF6UONXAEUCA3OMY47NMMKEPM/bundle.json","state_url":"https://pith.science/pith/DWF6UONXAEUCA3OMY47NMMKEPM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DWF6UONXAEUCA3OMY47NMMKEPM/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":"2026-08-07T03:42:43Z","links":{"resolver":"https://pith.science/pith/DWF6UONXAEUCA3OMY47NMMKEPM","bundle":"https://pith.science/pith/DWF6UONXAEUCA3OMY47NMMKEPM/bundle.json","state":"https://pith.science/pith/DWF6UONXAEUCA3OMY47NMMKEPM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DWF6UONXAEUCA3OMY47NMMKEPM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DWF6UONXAEUCA3OMY47NMMKEPM","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":"4e7034ad8d1b01509bc76b12297763b7d25708ebab37937f0431934eb5f7a70f","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2025-07-26T12:06:05Z","title_canon_sha256":"49e05c6064e71dda1cdb2e5971b04e3b9c80f32f3117e78996de419d37de6e78"},"schema_version":"1.0","source":{"id":"2507.19926","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19926","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19926v1","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19926","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"pith_short_12","alias_value":"DWF6UONXAEUC","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"pith_short_16","alias_value":"DWF6UONXAEUCA3OM","created_at":"2026-07-05T11:43:45Z"},{"alias_kind":"pith_short_8","alias_value":"DWF6UONX","created_at":"2026-07-05T11:43:45Z"}],"graph_snapshots":[{"event_id":"sha256:21bc9ef5cfc44737ce932da2366ed09dc128685cd486bdc666d1abd956fbd35e","target":"graph","created_at":"2026-07-05T11:43:45Z","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/2507.19926/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Median filtering is a non-linear smoothing technique widely used in digital image processing to remove noise while retaining sharp edges. It is particularly well suited to removing outliers (impulse noise) or granular artifacts (speckle noise). However, the high computational cost of median filtering can be prohibitive. Sorting-based algorithms excel with small kernels but scale poorly with increasing kernel diameter, in contrast to constant-time methods characterized by higher constant factors but better scalability, such as histogram-based approaches or the 2D wavelet matrix.\n  This paper in","authors_text":"Louis Sugy (NVIDIA)","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2025-07-26T12:06:05Z","title":"A Fast Parallel Median Filtering Algorithm Using Hierarchical Tiling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19926","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":"sha256:62565d21cdcff695615f8eb21c3a6a58c822df1288f651c92c157c1b7b7c71ed","target":"record","created_at":"2026-07-05T11:43:45Z","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":"4e7034ad8d1b01509bc76b12297763b7d25708ebab37937f0431934eb5f7a70f","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2025-07-26T12:06:05Z","title_canon_sha256":"49e05c6064e71dda1cdb2e5971b04e3b9c80f32f3117e78996de419d37de6e78"},"schema_version":"1.0","source":{"id":"2507.19926","kind":"arxiv","version":1}},"canonical_sha256":"1d8bea39b70128206dccc73ed631447b12315c67926d0a829ee0fadea7526522","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d8bea39b70128206dccc73ed631447b12315c67926d0a829ee0fadea7526522","first_computed_at":"2026-07-05T11:43:45.038947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:45.038947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SbCE1J+gVPmfZqhNvh9tIBBcu8Yk11eVATDIczHH1GDXuqa0GNhgli2wpJ1OlAJ3NhK/EqX4icFzxZHmOHzcBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:45.039387Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19926","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62565d21cdcff695615f8eb21c3a6a58c822df1288f651c92c157c1b7b7c71ed","sha256:21bc9ef5cfc44737ce932da2366ed09dc128685cd486bdc666d1abd956fbd35e"],"state_sha256":"64d06c0fb48ff7893f39a6fba132e3cb6e69028595b7b03cdbb77f9b8f8d1c6f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T1zONpaGmsYgrPVoTbH1rxOMNOyWLWU8aGKbKdFXFEcptJqxy47MeLHKRDR1JH+tXl1ze/U9wb1Od3Zkm7a0BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:42:43.501179Z","bundle_sha256":"97ba503a54cc0713064e704af959980dea1d9e0ef720412ee8845db50cf4189e"}}