{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DDBFLXMMUHOOVPCNN72XUGY56X","short_pith_number":"pith:DDBFLXMM","canonical_record":{"source":{"id":"1807.07466","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-19T14:40:14Z","cross_cats_sorted":[],"title_canon_sha256":"3e2b550e460fa1039b87c1e70989309f5129387eae745322df64812fa669806d","abstract_canon_sha256":"a84052a76d7c19c943fc31c8d7d85eb707c9012c894646003d521dd3302a3808"},"schema_version":"1.0"},"canonical_sha256":"18c255dd8ca1dceabc4d6ff57a1b1df5d80171d15d8551d1c54f0ee0fe5ee4a0","source":{"kind":"arxiv","id":"1807.07466","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.07466","created_at":"2026-05-18T00:10:20Z"},{"alias_kind":"arxiv_version","alias_value":"1807.07466v1","created_at":"2026-05-18T00:10:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.07466","created_at":"2026-05-18T00:10:20Z"},{"alias_kind":"pith_short_12","alias_value":"DDBFLXMMUHOO","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DDBFLXMMUHOOVPCN","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DDBFLXMM","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DDBFLXMMUHOOVPCNN72XUGY56X","target":"record","payload":{"canonical_record":{"source":{"id":"1807.07466","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-19T14:40:14Z","cross_cats_sorted":[],"title_canon_sha256":"3e2b550e460fa1039b87c1e70989309f5129387eae745322df64812fa669806d","abstract_canon_sha256":"a84052a76d7c19c943fc31c8d7d85eb707c9012c894646003d521dd3302a3808"},"schema_version":"1.0"},"canonical_sha256":"18c255dd8ca1dceabc4d6ff57a1b1df5d80171d15d8551d1c54f0ee0fe5ee4a0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:20.086948Z","signature_b64":"HLmPVC2Hm0Jo8pDQdcn3xdnWYRQ3OSKjR+Od5m0YUW/ZYsc2GFL9OBWcsMsCAV152Yol+X/F2LI+u5dyqJaiDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18c255dd8ca1dceabc4d6ff57a1b1df5d80171d15d8551d1c54f0ee0fe5ee4a0","last_reissued_at":"2026-05-18T00:10:20.086536Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:20.086536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.07466","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":"2026-05-18T00:10:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rs425N3jvfzhIrVWy5d+wuOuzAuZjJuw5mxMDrYxhilFqzSX6ri4Zb8FTVol8oVngwZb4grxGMUGA6mfcYoAAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T13:20:39.823504Z"},"content_sha256":"352b1773b139f6a8d835a838fa0f05bfd6f3a81b37eda93ae41ecad69e158410","schema_version":"1.0","event_id":"sha256:352b1773b139f6a8d835a838fa0f05bfd6f3a81b37eda93ae41ecad69e158410"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DDBFLXMMUHOOVPCNN72XUGY56X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Guided Upsampling Network for Real-Time Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Davide Mazzini","submitted_at":"2018-07-19T14:40:14Z","abstract_excerpt":"Semantic segmentation architectures are mainly built upon an encoder-decoder structure. These models perform subsequent downsampling operations in the encoder. Since operations on high-resolution activation maps are computationally expensive, usually the decoder produces output segmentation maps by upsampling with parameters-free operators like bilinear or nearest-neighbor. We propose a Neural Network named Guided Upsampling Network which consists of a multiresolution architecture that jointly exploits high-resolution and large context information. Then we introduce a new module named Guided U"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.07466","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":""},"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":"2026-05-18T00:10:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X/peDYlWESC4CzO9szRRoj2s4wxsuXn3uVtkjzUVL3YQz5qsfZ+x1gSr5o0+YehEleAsWGsJdaj7POvcLkEbBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T13:20:39.824104Z"},"content_sha256":"f6c7903bddd8b8fec1afff286af21ddb2a51688ed7dd20e6d33d91b733dbe5cb","schema_version":"1.0","event_id":"sha256:f6c7903bddd8b8fec1afff286af21ddb2a51688ed7dd20e6d33d91b733dbe5cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DDBFLXMMUHOOVPCNN72XUGY56X/bundle.json","state_url":"https://pith.science/pith/DDBFLXMMUHOOVPCNN72XUGY56X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DDBFLXMMUHOOVPCNN72XUGY56X/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":"2026-05-25T13:20:39Z","links":{"resolver":"https://pith.science/pith/DDBFLXMMUHOOVPCNN72XUGY56X","bundle":"https://pith.science/pith/DDBFLXMMUHOOVPCNN72XUGY56X/bundle.json","state":"https://pith.science/pith/DDBFLXMMUHOOVPCNN72XUGY56X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DDBFLXMMUHOOVPCNN72XUGY56X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DDBFLXMMUHOOVPCNN72XUGY56X","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":"a84052a76d7c19c943fc31c8d7d85eb707c9012c894646003d521dd3302a3808","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-19T14:40:14Z","title_canon_sha256":"3e2b550e460fa1039b87c1e70989309f5129387eae745322df64812fa669806d"},"schema_version":"1.0","source":{"id":"1807.07466","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.07466","created_at":"2026-05-18T00:10:20Z"},{"alias_kind":"arxiv_version","alias_value":"1807.07466v1","created_at":"2026-05-18T00:10:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.07466","created_at":"2026-05-18T00:10:20Z"},{"alias_kind":"pith_short_12","alias_value":"DDBFLXMMUHOO","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DDBFLXMMUHOOVPCN","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DDBFLXMM","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:f6c7903bddd8b8fec1afff286af21ddb2a51688ed7dd20e6d33d91b733dbe5cb","target":"graph","created_at":"2026-05-18T00:10:20Z","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"},"paper":{"abstract_excerpt":"Semantic segmentation architectures are mainly built upon an encoder-decoder structure. These models perform subsequent downsampling operations in the encoder. Since operations on high-resolution activation maps are computationally expensive, usually the decoder produces output segmentation maps by upsampling with parameters-free operators like bilinear or nearest-neighbor. We propose a Neural Network named Guided Upsampling Network which consists of a multiresolution architecture that jointly exploits high-resolution and large context information. Then we introduce a new module named Guided U","authors_text":"Davide Mazzini","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-19T14:40:14Z","title":"Guided Upsampling Network for Real-Time Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.07466","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":"sha256:352b1773b139f6a8d835a838fa0f05bfd6f3a81b37eda93ae41ecad69e158410","target":"record","created_at":"2026-05-18T00:10:20Z","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":"a84052a76d7c19c943fc31c8d7d85eb707c9012c894646003d521dd3302a3808","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-19T14:40:14Z","title_canon_sha256":"3e2b550e460fa1039b87c1e70989309f5129387eae745322df64812fa669806d"},"schema_version":"1.0","source":{"id":"1807.07466","kind":"arxiv","version":1}},"canonical_sha256":"18c255dd8ca1dceabc4d6ff57a1b1df5d80171d15d8551d1c54f0ee0fe5ee4a0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18c255dd8ca1dceabc4d6ff57a1b1df5d80171d15d8551d1c54f0ee0fe5ee4a0","first_computed_at":"2026-05-18T00:10:20.086536Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:20.086536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HLmPVC2Hm0Jo8pDQdcn3xdnWYRQ3OSKjR+Od5m0YUW/ZYsc2GFL9OBWcsMsCAV152Yol+X/F2LI+u5dyqJaiDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:20.086948Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.07466","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:352b1773b139f6a8d835a838fa0f05bfd6f3a81b37eda93ae41ecad69e158410","sha256:f6c7903bddd8b8fec1afff286af21ddb2a51688ed7dd20e6d33d91b733dbe5cb"],"state_sha256":"2aa6d70ff4ec5a282332de264a232998e7995e70fb76925c3192eeff57d2b901"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A+gpwp5VbiCMwbveQZG0rjO0YWRgBsnMfR8UcLRXZ1vppkI63e7DOpDShbSPhuOBT/uHPKhs9B37fMvdi1KJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T13:20:39.827281Z","bundle_sha256":"52f8da517b75daabc655ce55099d8931d987b9d2f587c1c223eb6671968e5293"}}