{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:QHNCERSSAOTRLTFEUPDIMZTKCC","short_pith_number":"pith:QHNCERSS","canonical_record":{"source":{"id":"2306.02588","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-05T04:32:46Z","cross_cats_sorted":[],"title_canon_sha256":"e28155271b8c600f9d882b08246fd65cf444b4c2be2cac1aed4b8ba6cc845f98","abstract_canon_sha256":"073642f4c9affa796bfc4752fdd93692b6de818d71973f8e7d6e2c9c91f3f36a"},"schema_version":"1.0"},"canonical_sha256":"81da22465203a715cca4a3c686666a108d2fd7668dd46e1282456cfcb6a9c4fa","source":{"kind":"arxiv","id":"2306.02588","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02588","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02588v1","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02588","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"pith_short_12","alias_value":"QHNCERSSAOTR","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"pith_short_16","alias_value":"QHNCERSSAOTRLTFE","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"pith_short_8","alias_value":"QHNCERSS","created_at":"2026-07-05T06:17:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:QHNCERSSAOTRLTFEUPDIMZTKCC","target":"record","payload":{"canonical_record":{"source":{"id":"2306.02588","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-05T04:32:46Z","cross_cats_sorted":[],"title_canon_sha256":"e28155271b8c600f9d882b08246fd65cf444b4c2be2cac1aed4b8ba6cc845f98","abstract_canon_sha256":"073642f4c9affa796bfc4752fdd93692b6de818d71973f8e7d6e2c9c91f3f36a"},"schema_version":"1.0"},"canonical_sha256":"81da22465203a715cca4a3c686666a108d2fd7668dd46e1282456cfcb6a9c4fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:17:19.002398Z","signature_b64":"u9rzC2pSU5gfhhg8KGAdBJ85zn3bpqVlCEQgEftQDcqAiI4/10+qHZhagHBOTT0hvH0AkSIznPWhsel2UN1JDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81da22465203a715cca4a3c686666a108d2fd7668dd46e1282456cfcb6a9c4fa","last_reissued_at":"2026-07-05T06:17:19.001886Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:17:19.001886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.02588","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":"2026-07-05T06:17:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TJBH1Hna7epw26TJjSkLMhpt5FCFB4w3I4+P7I18z89lMpmD6ikHqG3aHHmXTZF62Z6V//66/5nmwfLNwjWDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T20:23:37.445858Z"},"content_sha256":"a1b2f22510e6da7fe0334be1e709fba8f5ca390d970a2f98b8301ab4c7e82cf6","schema_version":"1.0","event_id":"sha256:a1b2f22510e6da7fe0334be1e709fba8f5ca390d970a2f98b8301ab4c7e82cf6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:QHNCERSSAOTRLTFEUPDIMZTKCC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Literature-based Discovery for Landscape Planning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"David Marasco, Ilya Safro, Ilya Tyagin, James H. Spencer, Justin Sybrandt","submitted_at":"2023-06-05T04:32:46Z","abstract_excerpt":"This project demonstrates how medical corpus hypothesis generation, a knowledge discovery field of AI, can be used to derive new research angles for landscape and urban planners. The hypothesis generation approach herein consists of a combination of deep learning with topic modeling, a probabilistic approach to natural language analysis that scans aggregated research databases for words that can be grouped together based on their subject matter commonalities; the word groups accordingly form topics that can provide implicit connections between two general research terms. The hypothesis generat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02588","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/2306.02588/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":"2026-07-05T06:17:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ZjessdQLd+lphkrtRV4n89Y/NZiIuw0Yuza4q+kAYy8Kjqnv/OzNowr6fBJdIytiWRTkJ+MdC7xKJGOmXOqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T20:23:37.446429Z"},"content_sha256":"5ad09a399555167d97693fcc4a401036db870fa5b7b9d585af1bbde51d2418d5","schema_version":"1.0","event_id":"sha256:5ad09a399555167d97693fcc4a401036db870fa5b7b9d585af1bbde51d2418d5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QHNCERSSAOTRLTFEUPDIMZTKCC/bundle.json","state_url":"https://pith.science/pith/QHNCERSSAOTRLTFEUPDIMZTKCC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QHNCERSSAOTRLTFEUPDIMZTKCC/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":"2026-08-20T20:23:37Z","links":{"resolver":"https://pith.science/pith/QHNCERSSAOTRLTFEUPDIMZTKCC","bundle":"https://pith.science/pith/QHNCERSSAOTRLTFEUPDIMZTKCC/bundle.json","state":"https://pith.science/pith/QHNCERSSAOTRLTFEUPDIMZTKCC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QHNCERSSAOTRLTFEUPDIMZTKCC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QHNCERSSAOTRLTFEUPDIMZTKCC","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":"073642f4c9affa796bfc4752fdd93692b6de818d71973f8e7d6e2c9c91f3f36a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-05T04:32:46Z","title_canon_sha256":"e28155271b8c600f9d882b08246fd65cf444b4c2be2cac1aed4b8ba6cc845f98"},"schema_version":"1.0","source":{"id":"2306.02588","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02588","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02588v1","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02588","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"pith_short_12","alias_value":"QHNCERSSAOTR","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"pith_short_16","alias_value":"QHNCERSSAOTRLTFE","created_at":"2026-07-05T06:17:19Z"},{"alias_kind":"pith_short_8","alias_value":"QHNCERSS","created_at":"2026-07-05T06:17:19Z"}],"graph_snapshots":[{"event_id":"sha256:5ad09a399555167d97693fcc4a401036db870fa5b7b9d585af1bbde51d2418d5","target":"graph","created_at":"2026-07-05T06:17:19Z","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/2306.02588/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This project demonstrates how medical corpus hypothesis generation, a knowledge discovery field of AI, can be used to derive new research angles for landscape and urban planners. The hypothesis generation approach herein consists of a combination of deep learning with topic modeling, a probabilistic approach to natural language analysis that scans aggregated research databases for words that can be grouped together based on their subject matter commonalities; the word groups accordingly form topics that can provide implicit connections between two general research terms. The hypothesis generat","authors_text":"David Marasco, Ilya Safro, Ilya Tyagin, James H. Spencer, Justin Sybrandt","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-05T04:32:46Z","title":"Literature-based Discovery for Landscape Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02588","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:a1b2f22510e6da7fe0334be1e709fba8f5ca390d970a2f98b8301ab4c7e82cf6","target":"record","created_at":"2026-07-05T06:17:19Z","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":"073642f4c9affa796bfc4752fdd93692b6de818d71973f8e7d6e2c9c91f3f36a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-05T04:32:46Z","title_canon_sha256":"e28155271b8c600f9d882b08246fd65cf444b4c2be2cac1aed4b8ba6cc845f98"},"schema_version":"1.0","source":{"id":"2306.02588","kind":"arxiv","version":1}},"canonical_sha256":"81da22465203a715cca4a3c686666a108d2fd7668dd46e1282456cfcb6a9c4fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81da22465203a715cca4a3c686666a108d2fd7668dd46e1282456cfcb6a9c4fa","first_computed_at":"2026-07-05T06:17:19.001886Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:17:19.001886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u9rzC2pSU5gfhhg8KGAdBJ85zn3bpqVlCEQgEftQDcqAiI4/10+qHZhagHBOTT0hvH0AkSIznPWhsel2UN1JDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:17:19.002398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.02588","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a1b2f22510e6da7fe0334be1e709fba8f5ca390d970a2f98b8301ab4c7e82cf6","sha256:5ad09a399555167d97693fcc4a401036db870fa5b7b9d585af1bbde51d2418d5"],"state_sha256":"0442effd25fd56b6e7c92d80ed5beb94d68a9065871609356d40652d12e12d79"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cI2by17owtTwRQEDR4mt4vfnmfsNUu/fBckIwYTJNTxDqmhIxlLfHp7mnNGLcemz01Yq8VB+dVvSgJin5OVdAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T20:23:37.450508Z","bundle_sha256":"8708fd5f5167b17d1d913503503a0f42c6e7a2c6b771b7f2cd6717721f4c4c20"}}