{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:QDR56NECTJSYSCOJZQ2D2GZG3H","short_pith_number":"pith:QDR56NEC","schema_version":"1.0","canonical_sha256":"80e3df34829a658909c9cc343d1b26d9c88a8f8da363e3660ff6b3179494fca4","source":{"kind":"arxiv","id":"1907.04404","version":1},"attestation_state":"computed","paper":{"title":"A New Stereo Benchmarking Dataset for Satellite Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Avinash C. Kak, Bharath Comandur, Sonali Patil, Tanmay Prakash","submitted_at":"2019-07-09T20:41:08Z","abstract_excerpt":"In order to facilitate further research in stereo reconstruction with multi-date satellite images, the goal of this paper is to provide a set of stereo-rectified images and the associated groundtruthed disparities for 10 AOIs (Area of Interest) drawn from two sources: 8 AOIs from IARPA's MVS Challenge dataset and 2 AOIs from the CORE3D-Public dataset. The disparities were groundtruthed by first constructing a fused DSM from the stereo pairs and by aligning 30 cm LiDAR with the fused DSM. Unlike the existing benckmarking datasets, we have also carried out a quantitative evaluation of our ground"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1907.04404","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-09T20:41:08Z","cross_cats_sorted":[],"title_canon_sha256":"6b0cb63a34fd2f36b6f84d219cafa10453c72e12fe680d4861514f89d7c8e46d","abstract_canon_sha256":"0122e6631fd018ec757b39708b61d8467a985d72a59413dfa40c9c91f8e5896d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:01.839243Z","signature_b64":"4W6feAVzD5QkNV6nz5Iv/peJqyc2pb/dejzvI5T/Rat61U1IgQhMc9jRsmCwBHnfvj6SxBDtIfaWIk3fspvsAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80e3df34829a658909c9cc343d1b26d9c88a8f8da363e3660ff6b3179494fca4","last_reissued_at":"2026-05-17T23:41:01.838529Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:01.838529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A New Stereo Benchmarking Dataset for Satellite Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Avinash C. Kak, Bharath Comandur, Sonali Patil, Tanmay Prakash","submitted_at":"2019-07-09T20:41:08Z","abstract_excerpt":"In order to facilitate further research in stereo reconstruction with multi-date satellite images, the goal of this paper is to provide a set of stereo-rectified images and the associated groundtruthed disparities for 10 AOIs (Area of Interest) drawn from two sources: 8 AOIs from IARPA's MVS Challenge dataset and 2 AOIs from the CORE3D-Public dataset. The disparities were groundtruthed by first constructing a fused DSM from the stereo pairs and by aligning 30 cm LiDAR with the fused DSM. Unlike the existing benckmarking datasets, we have also carried out a quantitative evaluation of our ground"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.04404","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1907.04404","created_at":"2026-05-17T23:41:01.838637+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.04404v1","created_at":"2026-05-17T23:41:01.838637+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.04404","created_at":"2026-05-17T23:41:01.838637+00:00"},{"alias_kind":"pith_short_12","alias_value":"QDR56NECTJSY","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_16","alias_value":"QDR56NECTJSYSCOJ","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_8","alias_value":"QDR56NEC","created_at":"2026-05-18T12:33:27.125529+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H","json":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H.json","graph_json":"https://pith.science/api/pith-number/QDR56NECTJSYSCOJZQ2D2GZG3H/graph.json","events_json":"https://pith.science/api/pith-number/QDR56NECTJSYSCOJZQ2D2GZG3H/events.json","paper":"https://pith.science/paper/QDR56NEC"},"agent_actions":{"view_html":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H","download_json":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H.json","view_paper":"https://pith.science/paper/QDR56NEC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.04404&json=true","fetch_graph":"https://pith.science/api/pith-number/QDR56NECTJSYSCOJZQ2D2GZG3H/graph.json","fetch_events":"https://pith.science/api/pith-number/QDR56NECTJSYSCOJZQ2D2GZG3H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H/action/storage_attestation","attest_author":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H/action/author_attestation","sign_citation":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H/action/citation_signature","submit_replication":"https://pith.science/pith/QDR56NECTJSYSCOJZQ2D2GZG3H/action/replication_record"}},"created_at":"2026-05-17T23:41:01.838637+00:00","updated_at":"2026-05-17T23:41:01.838637+00:00"}