{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:T2A6L46DPMCPKKWTYY4A4G55DS","short_pith_number":"pith:T2A6L46D","canonical_record":{"source":{"id":"2505.16946","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-22T17:32:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"932c794a9a3c62252721f47696779ae25e0c4d7791dd0b862a93494f4b5e216a","abstract_canon_sha256":"baaf0d4cad4e7e0da0c5de651d6b4e20357fc5b7da7d729d477ccf43c857f609"},"schema_version":"1.0"},"canonical_sha256":"9e81e5f3c37b04f52ad3c6380e1bbd1caadb75070598cb4762fcd5273a6bb43c","source":{"kind":"arxiv","id":"2505.16946","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16946","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16946v3","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16946","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"pith_short_12","alias_value":"T2A6L46DPMCP","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"T2A6L46DPMCPKKWT","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"T2A6L46D","created_at":"2026-07-05T11:27:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:T2A6L46DPMCPKKWTYY4A4G55DS","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16946","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-22T17:32:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"932c794a9a3c62252721f47696779ae25e0c4d7791dd0b862a93494f4b5e216a","abstract_canon_sha256":"baaf0d4cad4e7e0da0c5de651d6b4e20357fc5b7da7d729d477ccf43c857f609"},"schema_version":"1.0"},"canonical_sha256":"9e81e5f3c37b04f52ad3c6380e1bbd1caadb75070598cb4762fcd5273a6bb43c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:30.256953Z","signature_b64":"KwEMKgNGP8/Ur89uPWEqu2PWxCqoh3cTDLqSphGuQw8Y4KlHJRu74te50ZLvcnmFGOPKwoIEsJxEfHCwcLVgCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e81e5f3c37b04f52ad3c6380e1bbd1caadb75070598cb4762fcd5273a6bb43c","last_reissued_at":"2026-07-05T11:27:30.256403Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:30.256403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16946","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:27:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NBZYe7uhrDKn/cPlxsSv5vmDXD4X5Kw7PCLHB/Vk+0IJ5KdGLVninphSx4sQeJ40zZbuYFdnRwHZMlhxVf+mBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T12:24:33.521550Z"},"content_sha256":"30a6d23908f409c2a7cf8dc2f3333c90dfb81cd1f58879026a338688b9e3d331","schema_version":"1.0","event_id":"sha256:30a6d23908f409c2a7cf8dc2f3333c90dfb81cd1f58879026a338688b9e3d331"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:T2A6L46DPMCPKKWTYY4A4G55DS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NY Real Estate Racial Equity Analysis via Applied Machine Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CY","authors_text":"Andrei Pastor, Sanjana Chalavadi, Terry Leitch","submitted_at":"2025-05-22T17:32:28Z","abstract_excerpt":"This study analyzes tract-level real estate ownership patterns in New York State (NYS) and New York City (NYC) to uncover racial disparities. We use an advanced race/ethnicity imputation model (LSTM+Geo with XGBoost filtering, validated at 89.2% accuracy) to compare the predicted racial composition of property owners to the resident population from census data. We examine both a Full Model (statewide) and a Name-Only LSTM Model (NYC) to assess how incorporating geospatial context affects our predictions and disparity estimates. The results reveal significant inequities: White individuals hold "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16946","kind":"arxiv","version":3},"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/2505.16946/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":"2026-07-05T11:27:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rbjsCWzRLCAaXsMickFuiVvhP1/gPmAtRFGsLkumlxyrZRRl6AkTlo0xtbLZgTz9IAHRh9+e0nS+zPC8aC9CDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T12:24:33.522067Z"},"content_sha256":"ae8f41b087a0f205b2eee910f60ab1a3c7f6ab7d47f68d34c5e9c8cfa13afcf4","schema_version":"1.0","event_id":"sha256:ae8f41b087a0f205b2eee910f60ab1a3c7f6ab7d47f68d34c5e9c8cfa13afcf4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T2A6L46DPMCPKKWTYY4A4G55DS/bundle.json","state_url":"https://pith.science/pith/T2A6L46DPMCPKKWTYY4A4G55DS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T2A6L46DPMCPKKWTYY4A4G55DS/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":"2026-08-18T12:24:33Z","links":{"resolver":"https://pith.science/pith/T2A6L46DPMCPKKWTYY4A4G55DS","bundle":"https://pith.science/pith/T2A6L46DPMCPKKWTYY4A4G55DS/bundle.json","state":"https://pith.science/pith/T2A6L46DPMCPKKWTYY4A4G55DS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T2A6L46DPMCPKKWTYY4A4G55DS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:T2A6L46DPMCPKKWTYY4A4G55DS","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":"baaf0d4cad4e7e0da0c5de651d6b4e20357fc5b7da7d729d477ccf43c857f609","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-22T17:32:28Z","title_canon_sha256":"932c794a9a3c62252721f47696779ae25e0c4d7791dd0b862a93494f4b5e216a"},"schema_version":"1.0","source":{"id":"2505.16946","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16946","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16946v3","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16946","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"pith_short_12","alias_value":"T2A6L46DPMCP","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"pith_short_16","alias_value":"T2A6L46DPMCPKKWT","created_at":"2026-07-05T11:27:30Z"},{"alias_kind":"pith_short_8","alias_value":"T2A6L46D","created_at":"2026-07-05T11:27:30Z"}],"graph_snapshots":[{"event_id":"sha256:ae8f41b087a0f205b2eee910f60ab1a3c7f6ab7d47f68d34c5e9c8cfa13afcf4","target":"graph","created_at":"2026-07-05T11:27:30Z","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/2505.16946/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study analyzes tract-level real estate ownership patterns in New York State (NYS) and New York City (NYC) to uncover racial disparities. We use an advanced race/ethnicity imputation model (LSTM+Geo with XGBoost filtering, validated at 89.2% accuracy) to compare the predicted racial composition of property owners to the resident population from census data. We examine both a Full Model (statewide) and a Name-Only LSTM Model (NYC) to assess how incorporating geospatial context affects our predictions and disparity estimates. The results reveal significant inequities: White individuals hold ","authors_text":"Andrei Pastor, Sanjana Chalavadi, Terry Leitch","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-22T17:32:28Z","title":"NY Real Estate Racial Equity Analysis via Applied Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16946","kind":"arxiv","version":3},"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":"sha256:30a6d23908f409c2a7cf8dc2f3333c90dfb81cd1f58879026a338688b9e3d331","target":"record","created_at":"2026-07-05T11:27:30Z","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":"baaf0d4cad4e7e0da0c5de651d6b4e20357fc5b7da7d729d477ccf43c857f609","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2025-05-22T17:32:28Z","title_canon_sha256":"932c794a9a3c62252721f47696779ae25e0c4d7791dd0b862a93494f4b5e216a"},"schema_version":"1.0","source":{"id":"2505.16946","kind":"arxiv","version":3}},"canonical_sha256":"9e81e5f3c37b04f52ad3c6380e1bbd1caadb75070598cb4762fcd5273a6bb43c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e81e5f3c37b04f52ad3c6380e1bbd1caadb75070598cb4762fcd5273a6bb43c","first_computed_at":"2026-07-05T11:27:30.256403Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:27:30.256403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KwEMKgNGP8/Ur89uPWEqu2PWxCqoh3cTDLqSphGuQw8Y4KlHJRu74te50ZLvcnmFGOPKwoIEsJxEfHCwcLVgCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:27:30.256953Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16946","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30a6d23908f409c2a7cf8dc2f3333c90dfb81cd1f58879026a338688b9e3d331","sha256:ae8f41b087a0f205b2eee910f60ab1a3c7f6ab7d47f68d34c5e9c8cfa13afcf4"],"state_sha256":"be1d1a4031e8103290bccd6d593e0e27e830388882db75ea5ac10a20b3ed41c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UPr6OdORVspbzysR6Zy4ev5GBPWVZzRnlwvGPmNEqDy9LPrlJWHnFQZXylaB4U4VuD0sYL94U08oyVQCmr2bCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T12:24:33.527505Z","bundle_sha256":"31e59880bb6d9d8b5883cbcf9b1a2f33835d29ab49d24e1a2ed944eaa0e6abe9"}}