{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4LCO6OMWWKGO4BWAFW646YJYQF","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":"3b123b89fc545017510c9afae8fe23b22254f7c9c60c0d07aff267bb2084cf86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-31T20:01:43Z","title_canon_sha256":"bade2d2346b7b725a3f6e267afe2dd87bfae857d9e0f52777f8f2730b8d377c8"},"schema_version":"1.0","source":{"id":"1906.00050","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.00050","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"arxiv_version","alias_value":"1906.00050v1","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.00050","created_at":"2026-05-17T23:44:33Z"},{"alias_kind":"pith_short_12","alias_value":"4LCO6OMWWKGO","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4LCO6OMWWKGO4BWA","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4LCO6OMW","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:ab2c3d72bd671ca6c6f2642811d068502fa70c2b649a972d83b7d7515916dccf","target":"graph","created_at":"2026-05-17T23:44:33Z","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":"Recent deep learning based approaches have outperformed classical stereo matching methods. However, current deep learning based end-to-end stereo matching methods adopt a generic encoder-decoder style network with skip connections. To limit computational requirement, many networks perform excessive down sampling, which results in significant loss of useful low-level information. Additionally, many network designs do not exploit the rich multi-scale contextual information. In this work, we address these aforementioned problems by carefully designing the network architecture to preserve required","authors_text":"Kaushik Raghavan, Kunal Swami, Nikhilanj Pelluri, Pankaj Bajpai, Rituparna Sarkar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-31T20:01:43Z","title":"DISCO: Depth Inference from Stereo using Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.00050","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":"sha256:0e53d97f352482113525eb302d7aa944281aa309558cbeb4a1f6544d62862592","target":"record","created_at":"2026-05-17T23:44:33Z","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":"3b123b89fc545017510c9afae8fe23b22254f7c9c60c0d07aff267bb2084cf86","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-05-31T20:01:43Z","title_canon_sha256":"bade2d2346b7b725a3f6e267afe2dd87bfae857d9e0f52777f8f2730b8d377c8"},"schema_version":"1.0","source":{"id":"1906.00050","kind":"arxiv","version":1}},"canonical_sha256":"e2c4ef3996b28cee06c02dbdcf61388150fe58bdc06c4ef2bb7d9307d38cf8d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2c4ef3996b28cee06c02dbdcf61388150fe58bdc06c4ef2bb7d9307d38cf8d4","first_computed_at":"2026-05-17T23:44:33.618790Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:33.618790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x7aDfcD55PGvorqhjbj/ldflRcAW1JsUXL8wPsKFAqj15TgPxR//tbMye5GZll7U9J8MKU2w2xJ1uFWHkaZqBg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:33.619551Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.00050","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e53d97f352482113525eb302d7aa944281aa309558cbeb4a1f6544d62862592","sha256:ab2c3d72bd671ca6c6f2642811d068502fa70c2b649a972d83b7d7515916dccf"],"state_sha256":"0c18d64d8485c0e5bf5270b1444d7c5cd4c05b4fff84f179abee1edfeb705d10"}