{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MO66DRQYV5S4OWAPDNGWZEFY3K","short_pith_number":"pith:MO66DRQY","canonical_record":{"source":{"id":"1911.05250","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-13T02:15:06Z","cross_cats_sorted":[],"title_canon_sha256":"43d8262fa0b0a65105e434e813067c9abc7bfbaa01391c87aa913438798a36c1","abstract_canon_sha256":"0ec52bc2cffd9daa325b69b4292a424d04e5fea45126c8b117e6c665d1c37a7a"},"schema_version":"1.0"},"canonical_sha256":"63bde1c618af65c7580f1b4d6c90b8da815b6fdf70602377251a673e5af5215a","source":{"kind":"arxiv","id":"1911.05250","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.05250","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"arxiv_version","alias_value":"1911.05250v2","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.05250","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"pith_short_12","alias_value":"MO66DRQYV5S4","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"pith_short_16","alias_value":"MO66DRQYV5S4OWAP","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"pith_short_8","alias_value":"MO66DRQY","created_at":"2026-07-05T00:19:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MO66DRQYV5S4OWAPDNGWZEFY3K","target":"record","payload":{"canonical_record":{"source":{"id":"1911.05250","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-13T02:15:06Z","cross_cats_sorted":[],"title_canon_sha256":"43d8262fa0b0a65105e434e813067c9abc7bfbaa01391c87aa913438798a36c1","abstract_canon_sha256":"0ec52bc2cffd9daa325b69b4292a424d04e5fea45126c8b117e6c665d1c37a7a"},"schema_version":"1.0"},"canonical_sha256":"63bde1c618af65c7580f1b4d6c90b8da815b6fdf70602377251a673e5af5215a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:19:11.738891Z","signature_b64":"xqPHwA8bNn3EOyXIO8UrB93zKIqoSg5fhic1/bp2NEtx73udbOC30BMVAcJRnysqARvQdTuFMfzWWW5S4q7XBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63bde1c618af65c7580f1b4d6c90b8da815b6fdf70602377251a673e5af5215a","last_reissued_at":"2026-07-05T00:19:11.738428Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:19:11.738428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.05250","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":"2026-07-05T00:19:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9j0q7JtO5HNO6cMraoc6IYXmZAKBzGXEqxR4T4wt9KhwmeC1uBGIkDKrPYi2cvH/kTYlzq9Rk6ZcTcaUt5dvBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:06:30.444037Z"},"content_sha256":"cea0f1a1d2d3d3e236d47270bcb75fbff5dbea1337775eef86359e85bcfc497f","schema_version":"1.0","event_id":"sha256:cea0f1a1d2d3d3e236d47270bcb75fbff5dbea1337775eef86359e85bcfc497f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MO66DRQYV5S4OWAPDNGWZEFY3K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Location-aware Upsampling for Semantic Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anda Cheng, Jian Cheng, Peisong Wang, Qiang Chen, Xiangyu He, Zitao Mo","submitted_at":"2019-11-13T02:15:06Z","abstract_excerpt":"Many successful learning targets such as minimizing dice loss and cross-entropy loss have enabled unprecedented breakthroughs in segmentation tasks. Beyond these semantic metrics, this paper aims to introduce location supervision into semantic segmentation. Based on this idea, we present a Location-aware Upsampling (LaU) that adaptively refines the interpolating coordinates with trainable offsets. Then, location-aware losses are established by encouraging pixels to move towards well-classified locations. An LaU is offset prediction coupled with interpolation, which is trained end-to-end to gen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.05250","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/1911.05250/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":"2026-07-05T00:19:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FfW2eI+LJEFrMZ+bHJW1+GYLfgsvD5krR4vvKeaITWWEUFUy01KvbYGo3LX9tw5x9EGTXuIK5y1uSTWEZ8UJAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:06:30.444532Z"},"content_sha256":"28ed96c9c5a72ebf5f4c2d148766aee7dc52f799f49ff570639fddd336901480","schema_version":"1.0","event_id":"sha256:28ed96c9c5a72ebf5f4c2d148766aee7dc52f799f49ff570639fddd336901480"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MO66DRQYV5S4OWAPDNGWZEFY3K/bundle.json","state_url":"https://pith.science/pith/MO66DRQYV5S4OWAPDNGWZEFY3K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MO66DRQYV5S4OWAPDNGWZEFY3K/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":"2026-08-05T05:06:30Z","links":{"resolver":"https://pith.science/pith/MO66DRQYV5S4OWAPDNGWZEFY3K","bundle":"https://pith.science/pith/MO66DRQYV5S4OWAPDNGWZEFY3K/bundle.json","state":"https://pith.science/pith/MO66DRQYV5S4OWAPDNGWZEFY3K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MO66DRQYV5S4OWAPDNGWZEFY3K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MO66DRQYV5S4OWAPDNGWZEFY3K","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":"0ec52bc2cffd9daa325b69b4292a424d04e5fea45126c8b117e6c665d1c37a7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-13T02:15:06Z","title_canon_sha256":"43d8262fa0b0a65105e434e813067c9abc7bfbaa01391c87aa913438798a36c1"},"schema_version":"1.0","source":{"id":"1911.05250","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.05250","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"arxiv_version","alias_value":"1911.05250v2","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.05250","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"pith_short_12","alias_value":"MO66DRQYV5S4","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"pith_short_16","alias_value":"MO66DRQYV5S4OWAP","created_at":"2026-07-05T00:19:11Z"},{"alias_kind":"pith_short_8","alias_value":"MO66DRQY","created_at":"2026-07-05T00:19:11Z"}],"graph_snapshots":[{"event_id":"sha256:28ed96c9c5a72ebf5f4c2d148766aee7dc52f799f49ff570639fddd336901480","target":"graph","created_at":"2026-07-05T00:19:11Z","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/1911.05250/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many successful learning targets such as minimizing dice loss and cross-entropy loss have enabled unprecedented breakthroughs in segmentation tasks. Beyond these semantic metrics, this paper aims to introduce location supervision into semantic segmentation. Based on this idea, we present a Location-aware Upsampling (LaU) that adaptively refines the interpolating coordinates with trainable offsets. Then, location-aware losses are established by encouraging pixels to move towards well-classified locations. An LaU is offset prediction coupled with interpolation, which is trained end-to-end to gen","authors_text":"Anda Cheng, Jian Cheng, Peisong Wang, Qiang Chen, Xiangyu He, Zitao Mo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-13T02:15:06Z","title":"Location-aware Upsampling for Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.05250","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:cea0f1a1d2d3d3e236d47270bcb75fbff5dbea1337775eef86359e85bcfc497f","target":"record","created_at":"2026-07-05T00:19:11Z","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":"0ec52bc2cffd9daa325b69b4292a424d04e5fea45126c8b117e6c665d1c37a7a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-11-13T02:15:06Z","title_canon_sha256":"43d8262fa0b0a65105e434e813067c9abc7bfbaa01391c87aa913438798a36c1"},"schema_version":"1.0","source":{"id":"1911.05250","kind":"arxiv","version":2}},"canonical_sha256":"63bde1c618af65c7580f1b4d6c90b8da815b6fdf70602377251a673e5af5215a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63bde1c618af65c7580f1b4d6c90b8da815b6fdf70602377251a673e5af5215a","first_computed_at":"2026-07-05T00:19:11.738428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:19:11.738428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xqPHwA8bNn3EOyXIO8UrB93zKIqoSg5fhic1/bp2NEtx73udbOC30BMVAcJRnysqARvQdTuFMfzWWW5S4q7XBw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:19:11.738891Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.05250","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cea0f1a1d2d3d3e236d47270bcb75fbff5dbea1337775eef86359e85bcfc497f","sha256:28ed96c9c5a72ebf5f4c2d148766aee7dc52f799f49ff570639fddd336901480"],"state_sha256":"252781df600fba84b1f244f233429215ef4a3933a42101c92fc3b31720f8224a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uH0W7vQtRC3xwb5QQvQ+XGzt5MHKdrkB6e5WFsyhTG1aIBrjig3rXMUAW6zK7Al1ZIxXu49M+b/b8ZkiPMLcCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T05:06:30.449370Z","bundle_sha256":"e8ed3948ba9b9b7e340612532e5b45b68448cc41ebbb4d1c9002f13f1a9d9c0c"}}