{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:L4DOCQXZG4IEOSYAJKVB7DWHCF","short_pith_number":"pith:L4DOCQXZ","canonical_record":{"source":{"id":"1902.06255","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-17T13:09:16Z","cross_cats_sorted":[],"title_canon_sha256":"a19e888ea6961909fc406ceabf325815052048ca2056d06fe37bd7391bde3464","abstract_canon_sha256":"d84bb4862556941e99d23ee8721bc012b0d6bd77d84cd32be0dce483d5191cd3"},"schema_version":"1.0"},"canonical_sha256":"5f06e142f93710474b004aaa1f8ec7117bd749488a548e592350c8a13a37c0f4","source":{"kind":"arxiv","id":"1902.06255","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.06255","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"arxiv_version","alias_value":"1902.06255v1","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.06255","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"pith_short_12","alias_value":"L4DOCQXZG4IE","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"L4DOCQXZG4IEOSYA","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"L4DOCQXZ","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:L4DOCQXZG4IEOSYAJKVB7DWHCF","target":"record","payload":{"canonical_record":{"source":{"id":"1902.06255","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-17T13:09:16Z","cross_cats_sorted":[],"title_canon_sha256":"a19e888ea6961909fc406ceabf325815052048ca2056d06fe37bd7391bde3464","abstract_canon_sha256":"d84bb4862556941e99d23ee8721bc012b0d6bd77d84cd32be0dce483d5191cd3"},"schema_version":"1.0"},"canonical_sha256":"5f06e142f93710474b004aaa1f8ec7117bd749488a548e592350c8a13a37c0f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:46.071388Z","signature_b64":"e1oDAEtmrM5/VHZuQsdB8AVegiKv/5ABGDJmRq/BXqFRwglaktEfJ5MMJdZO4FQ/PXbpgP8Y5sixkQK9F+82DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f06e142f93710474b004aaa1f8ec7117bd749488a548e592350c8a13a37c0f4","last_reissued_at":"2026-05-17T23:53:46.070700Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:46.070700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.06255","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":"2026-05-17T23:53:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jOkVX4r9Y6inVmEDkVoyrQ0JUHs16wRqSK+b7hEPb6RJ73iaMSPzeHFhfbzrWfug5du42gQwb8vjFXBgrLMJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:29:02.004530Z"},"content_sha256":"378db8a25834ecd554d6a2b7af96cc86aeb976835c13332f87bacfad1e47de25","schema_version":"1.0","event_id":"sha256:378db8a25834ecd554d6a2b7af96cc86aeb976835c13332f87bacfad1e47de25"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:L4DOCQXZG4IEOSYAJKVB7DWHCF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cong Wang, Guang-Yu Nie, Yongtian Wang, Yue Liu, Yun Liu","submitted_at":"2019-02-17T13:09:16Z","abstract_excerpt":"Three-dimensional (3-D) scene reconstruction is one of the key techniques in Augmented Reality (AR), which is related to the integration of image processing and display systems of complex information. Stereo matching is a computer vision based approach for 3-D scene reconstruction. In this paper, we explore an improved stereo matching network, SLED-Net, in which a Single Long Encoder-Decoder is proposed to replace the stacked hourglass network in PSM-Net for better contextual information learning. We compare SLED-Net to state-of-the-art methods recently published, and demonstrate its superior "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.06255","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":"2026-05-17T23:53:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lDry3mlSX2sBYZDcWdBQTWbrgFRS7gWiqAWy+5XMiKiCPb+rQEziyKHFMhjhhNWEQ5rfjyVFnUg6RDjvMF+sBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:29:02.004883Z"},"content_sha256":"589a2f21abbeb21f6f591ecf110d743b230aab78c8be9dea137c2b4c7242c785","schema_version":"1.0","event_id":"sha256:589a2f21abbeb21f6f591ecf110d743b230aab78c8be9dea137c2b4c7242c785"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L4DOCQXZG4IEOSYAJKVB7DWHCF/bundle.json","state_url":"https://pith.science/pith/L4DOCQXZG4IEOSYAJKVB7DWHCF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L4DOCQXZG4IEOSYAJKVB7DWHCF/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":"2026-06-03T02:29:02Z","links":{"resolver":"https://pith.science/pith/L4DOCQXZG4IEOSYAJKVB7DWHCF","bundle":"https://pith.science/pith/L4DOCQXZG4IEOSYAJKVB7DWHCF/bundle.json","state":"https://pith.science/pith/L4DOCQXZG4IEOSYAJKVB7DWHCF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L4DOCQXZG4IEOSYAJKVB7DWHCF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:L4DOCQXZG4IEOSYAJKVB7DWHCF","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":"d84bb4862556941e99d23ee8721bc012b0d6bd77d84cd32be0dce483d5191cd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-17T13:09:16Z","title_canon_sha256":"a19e888ea6961909fc406ceabf325815052048ca2056d06fe37bd7391bde3464"},"schema_version":"1.0","source":{"id":"1902.06255","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.06255","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"arxiv_version","alias_value":"1902.06255v1","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.06255","created_at":"2026-05-17T23:53:46Z"},{"alias_kind":"pith_short_12","alias_value":"L4DOCQXZG4IE","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"L4DOCQXZG4IEOSYA","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"L4DOCQXZ","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:589a2f21abbeb21f6f591ecf110d743b230aab78c8be9dea137c2b4c7242c785","target":"graph","created_at":"2026-05-17T23:53:46Z","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":"Three-dimensional (3-D) scene reconstruction is one of the key techniques in Augmented Reality (AR), which is related to the integration of image processing and display systems of complex information. Stereo matching is a computer vision based approach for 3-D scene reconstruction. In this paper, we explore an improved stereo matching network, SLED-Net, in which a Single Long Encoder-Decoder is proposed to replace the stacked hourglass network in PSM-Net for better contextual information learning. We compare SLED-Net to state-of-the-art methods recently published, and demonstrate its superior ","authors_text":"Cong Wang, Guang-Yu Nie, Yongtian Wang, Yue Liu, Yun Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-17T13:09:16Z","title":"Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.06255","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":"sha256:378db8a25834ecd554d6a2b7af96cc86aeb976835c13332f87bacfad1e47de25","target":"record","created_at":"2026-05-17T23:53:46Z","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":"d84bb4862556941e99d23ee8721bc012b0d6bd77d84cd32be0dce483d5191cd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-17T13:09:16Z","title_canon_sha256":"a19e888ea6961909fc406ceabf325815052048ca2056d06fe37bd7391bde3464"},"schema_version":"1.0","source":{"id":"1902.06255","kind":"arxiv","version":1}},"canonical_sha256":"5f06e142f93710474b004aaa1f8ec7117bd749488a548e592350c8a13a37c0f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f06e142f93710474b004aaa1f8ec7117bd749488a548e592350c8a13a37c0f4","first_computed_at":"2026-05-17T23:53:46.070700Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:46.070700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e1oDAEtmrM5/VHZuQsdB8AVegiKv/5ABGDJmRq/BXqFRwglaktEfJ5MMJdZO4FQ/PXbpgP8Y5sixkQK9F+82DQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:46.071388Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.06255","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:378db8a25834ecd554d6a2b7af96cc86aeb976835c13332f87bacfad1e47de25","sha256:589a2f21abbeb21f6f591ecf110d743b230aab78c8be9dea137c2b4c7242c785"],"state_sha256":"e436eee52bc39bf7f0888b480f97fbce3ca9fd8a0e0bd0d6f6eb45c50ee69e4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fKNH7l03TIANxNhlozdKutehXfbQ7MwMg+DZ27ec5flT3TTaFECHKalCeTJC1lv0gv7VdOT4XfBB6TnK+RDcDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T02:29:02.006854Z","bundle_sha256":"2cb5df85338d764466f064d8575532e4aebcc9325c64508a9403895a689bd97e"}}