{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:SJRSTRWGVAVQKN4TRTDDF4MV2H","short_pith_number":"pith:SJRSTRWG","canonical_record":{"source":{"id":"2210.15926","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-28T06:14:14Z","cross_cats_sorted":[],"title_canon_sha256":"46abd663b141da6d2f2e866e2945cb04ecb665a5f380dc9f09fb4cee06222bc4","abstract_canon_sha256":"153ecc040220cf29774832ca171503c3af93905c5aa4da15ec164aa3eb89ef9d"},"schema_version":"1.0"},"canonical_sha256":"926329c6c6a82b0537938cc632f195d1ecf361529bcdb89d9eb303639017b5bf","source":{"kind":"arxiv","id":"2210.15926","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15926","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15926v1","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15926","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"pith_short_12","alias_value":"SJRSTRWGVAVQ","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"pith_short_16","alias_value":"SJRSTRWGVAVQKN4T","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"pith_short_8","alias_value":"SJRSTRWG","created_at":"2026-07-05T05:11:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:SJRSTRWGVAVQKN4TRTDDF4MV2H","target":"record","payload":{"canonical_record":{"source":{"id":"2210.15926","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-28T06:14:14Z","cross_cats_sorted":[],"title_canon_sha256":"46abd663b141da6d2f2e866e2945cb04ecb665a5f380dc9f09fb4cee06222bc4","abstract_canon_sha256":"153ecc040220cf29774832ca171503c3af93905c5aa4da15ec164aa3eb89ef9d"},"schema_version":"1.0"},"canonical_sha256":"926329c6c6a82b0537938cc632f195d1ecf361529bcdb89d9eb303639017b5bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:11:27.916620Z","signature_b64":"H61B5cJkEvK+rHWMd6fEYXWsGl7KJ+H/PbwQpXS1anFzfbTusVKFd8iaCs6z2mXPySJjd1vUq0N0bdwhwRS/AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"926329c6c6a82b0537938cc632f195d1ecf361529bcdb89d9eb303639017b5bf","last_reissued_at":"2026-07-05T05:11:27.916132Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:11:27.916132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.15926","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":"2026-07-05T05:11:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gicyNQMaQ+qXq1wbIEi/pd/+NBFj5knuET2veoWqZc17ogIewpDwyh89cSFG9MgqbtJ7K0tUnmw4FP1JpopzAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:43:30.063806Z"},"content_sha256":"9ca8a231ddfbe8b1f5b2fe46295b9ecc1898bf23b7dfbf708239542ef3fd4db3","schema_version":"1.0","event_id":"sha256:9ca8a231ddfbe8b1f5b2fe46295b9ecc1898bf23b7dfbf708239542ef3fd4db3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:SJRSTRWGVAVQKN4TRTDDF4MV2H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comparison of Stereo Matching Algorithms for the Development of Disparity Map","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hamid Fsian, Pierre Gouton, Saeid Minaei, Vahid Mohammadi","submitted_at":"2022-10-28T06:14:14Z","abstract_excerpt":"Stereo Matching is one of the classical problems in computer vision for the extraction of 3D information but still controversial for accuracy and processing costs. The use of matching techniques and cost functions is crucial in the development of the disparity map. This paper presents a comparative study of six different stereo matching algorithms including Block Matching (BM), Block Matching with Dynamic Programming (BMDP), Belief Propagation (BP), Gradient Feature Matching (GF), Histogram of Oriented Gradient (HOG), and the proposed method. Also three cost functions namely Mean Squared Error"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15926","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2210.15926/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":"2026-07-05T05:11:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xe+Fx6Xwri7yvIcwpfzqZaDJC0tJCyqJZy/rg5MH72pqCt0woJ7x7T7/70n931UUtYzVdYlBFNOlR8cJLk6nDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:43:30.064174Z"},"content_sha256":"6163cb4e39317df872b23ee69e27246bbebbd17f852385cc923bd94366fc9a75","schema_version":"1.0","event_id":"sha256:6163cb4e39317df872b23ee69e27246bbebbd17f852385cc923bd94366fc9a75"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SJRSTRWGVAVQKN4TRTDDF4MV2H/bundle.json","state_url":"https://pith.science/pith/SJRSTRWGVAVQKN4TRTDDF4MV2H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SJRSTRWGVAVQKN4TRTDDF4MV2H/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":"2026-07-07T10:43:30Z","links":{"resolver":"https://pith.science/pith/SJRSTRWGVAVQKN4TRTDDF4MV2H","bundle":"https://pith.science/pith/SJRSTRWGVAVQKN4TRTDDF4MV2H/bundle.json","state":"https://pith.science/pith/SJRSTRWGVAVQKN4TRTDDF4MV2H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SJRSTRWGVAVQKN4TRTDDF4MV2H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:SJRSTRWGVAVQKN4TRTDDF4MV2H","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":"153ecc040220cf29774832ca171503c3af93905c5aa4da15ec164aa3eb89ef9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-28T06:14:14Z","title_canon_sha256":"46abd663b141da6d2f2e866e2945cb04ecb665a5f380dc9f09fb4cee06222bc4"},"schema_version":"1.0","source":{"id":"2210.15926","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15926","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15926v1","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15926","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"pith_short_12","alias_value":"SJRSTRWGVAVQ","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"pith_short_16","alias_value":"SJRSTRWGVAVQKN4T","created_at":"2026-07-05T05:11:27Z"},{"alias_kind":"pith_short_8","alias_value":"SJRSTRWG","created_at":"2026-07-05T05:11:27Z"}],"graph_snapshots":[{"event_id":"sha256:6163cb4e39317df872b23ee69e27246bbebbd17f852385cc923bd94366fc9a75","target":"graph","created_at":"2026-07-05T05:11:27Z","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/2210.15926/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stereo Matching is one of the classical problems in computer vision for the extraction of 3D information but still controversial for accuracy and processing costs. The use of matching techniques and cost functions is crucial in the development of the disparity map. This paper presents a comparative study of six different stereo matching algorithms including Block Matching (BM), Block Matching with Dynamic Programming (BMDP), Belief Propagation (BP), Gradient Feature Matching (GF), Histogram of Oriented Gradient (HOG), and the proposed method. Also three cost functions namely Mean Squared Error","authors_text":"Hamid Fsian, Pierre Gouton, Saeid Minaei, Vahid Mohammadi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-28T06:14:14Z","title":"Comparison of Stereo Matching Algorithms for the Development of Disparity Map"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15926","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":"sha256:9ca8a231ddfbe8b1f5b2fe46295b9ecc1898bf23b7dfbf708239542ef3fd4db3","target":"record","created_at":"2026-07-05T05:11:27Z","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":"153ecc040220cf29774832ca171503c3af93905c5aa4da15ec164aa3eb89ef9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-28T06:14:14Z","title_canon_sha256":"46abd663b141da6d2f2e866e2945cb04ecb665a5f380dc9f09fb4cee06222bc4"},"schema_version":"1.0","source":{"id":"2210.15926","kind":"arxiv","version":1}},"canonical_sha256":"926329c6c6a82b0537938cc632f195d1ecf361529bcdb89d9eb303639017b5bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"926329c6c6a82b0537938cc632f195d1ecf361529bcdb89d9eb303639017b5bf","first_computed_at":"2026-07-05T05:11:27.916132Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:11:27.916132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H61B5cJkEvK+rHWMd6fEYXWsGl7KJ+H/PbwQpXS1anFzfbTusVKFd8iaCs6z2mXPySJjd1vUq0N0bdwhwRS/AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:11:27.916620Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.15926","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ca8a231ddfbe8b1f5b2fe46295b9ecc1898bf23b7dfbf708239542ef3fd4db3","sha256:6163cb4e39317df872b23ee69e27246bbebbd17f852385cc923bd94366fc9a75"],"state_sha256":"d38ae896ec70bb22d293e0db241cc01b765d23101f6dc9e284c4cdd73a7d6b5f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9tor+du/+RVpBlViQ7mjwistnHq9E7bjwQRVc6C3uv0c6fZF5yjKxvBoS7BRRnSckYCq93Dw1qOdXXpAPmrUAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:43:30.066419Z","bundle_sha256":"a34f847288c5ba74756c3dba25b10b57e4c7efd43ac924721661d88ae6141ffd"}}