{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:E6HFDK3AU5JO2DDK7DJDUFLBUH","short_pith_number":"pith:E6HFDK3A","canonical_record":{"source":{"id":"2607.23632","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-26T12:36:31Z","cross_cats_sorted":["cs.AI","cs.LG","cs.PF"],"title_canon_sha256":"d85e6df4def2f2621e2d8ba84f21d71942728ac48d3aa2f69489ae75ddef893b","abstract_canon_sha256":"325df1b9c197b458181d2c8f8c41ae2100af62e925ec4429ff80f517d0be1aa3"},"schema_version":"1.0"},"canonical_sha256":"278e51ab60a752ed0c6af8d23a1561a1ca7852b2299af032dcd6bf2a4f7cb0ec","source":{"kind":"arxiv","id":"2607.23632","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23632","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23632v1","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23632","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"pith_short_12","alias_value":"E6HFDK3AU5JO","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"pith_short_16","alias_value":"E6HFDK3AU5JO2DDK","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"pith_short_8","alias_value":"E6HFDK3A","created_at":"2026-07-28T01:23:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:E6HFDK3AU5JO2DDK7DJDUFLBUH","target":"record","payload":{"canonical_record":{"source":{"id":"2607.23632","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-26T12:36:31Z","cross_cats_sorted":["cs.AI","cs.LG","cs.PF"],"title_canon_sha256":"d85e6df4def2f2621e2d8ba84f21d71942728ac48d3aa2f69489ae75ddef893b","abstract_canon_sha256":"325df1b9c197b458181d2c8f8c41ae2100af62e925ec4429ff80f517d0be1aa3"},"schema_version":"1.0"},"canonical_sha256":"278e51ab60a752ed0c6af8d23a1561a1ca7852b2299af032dcd6bf2a4f7cb0ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:02.798295Z","signature_b64":"VGwUsmfXuw8fzcMsX7bYdYxMdqDKC7R1276thWoEF2YC5FHyK5Mz7zN0U//atR28dXIbNNMMDGb07/fpxmrzDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"278e51ab60a752ed0c6af8d23a1561a1ca7852b2299af032dcd6bf2a4f7cb0ec","last_reissued_at":"2026-07-28T01:23:02.797513Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:02.797513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.23632","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":"2026-07-28T01:23:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"33d41UE6jnU3T1v0CExxFx9ujxL5gV5xsl6KDCwWMKXFlM0YRuApDZDc+ky/1R25hGVthJAbJ6urmBuARKzfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:13:03.292590Z"},"content_sha256":"289fe1872c53a6facf702368724fb821e19f58e507ce7ec644f92dc7828e0666","schema_version":"1.0","event_id":"sha256:289fe1872c53a6facf702368724fb821e19f58e507ce7ec644f92dc7828e0666"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:E6HFDK3AU5JO2DDK7DJDUFLBUH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Order in Desbordante: Techniques for Efficient Implementation of Order Dependency Discovery Algorithms","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.PF"],"primary_cat":"cs.DB","authors_text":"Dmitriy Shcheka, George Chernishev, Kirill Stupakov, Michael Polyntsov, Mikhail Firsov, Yakov Kuzin","submitted_at":"2026-07-26T12:36:31Z","abstract_excerpt":"Science-intensive data profiling focuses on discovery and validation of various patterns in datasets. This study considers discovery of one such pattern - order dependency (OD). Simply put, OD states that some list of columns is ordered according to another one. It is of use for database query optimization, data cleaning and deduplication, anomaly detection, and much more.\n  Existing discovery methods have approached this problem solely from the algorithmic standpoint, without focusing on the implementation side. At the same time, this problem is very computationally intensive, and therefore t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23632","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/2607.23632/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":"2026-07-28T01:23:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G/e9bYAdzMin+oE4WfYMYGaXVwhDyVMDHWs0A68VXC+k4lgvmtcjOb3uTdkhVSD3MwAdYg9Srh3JFzEYoCuwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:13:03.293252Z"},"content_sha256":"2f2d4c3df807107e98526e5153e9ce480fa8b32a0a7fe206a6d1c16cac484e82","schema_version":"1.0","event_id":"sha256:2f2d4c3df807107e98526e5153e9ce480fa8b32a0a7fe206a6d1c16cac484e82"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:E6HFDK3AU5JO2DDK7DJDUFLBUH","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1145/502030.502033 resolves to 'An extension of the relational data model to incorporate ordered domains'. A reader following the printed text alone cannot reach it.","snippet":"[Online]. Available: https://doi.org/10.1145/502 030.502033","arxiv_id":"2607.23632","detector":"doi_compliance","evidence":{"ref_index":2001,"verdict_class":"incontrovertible","resolved_title":"An extension of the relational data model to incorporate ordered domains","printed_excerpt":"10.1145/502","reconstructed_doi":"10.1145/502030.502033"},"severity":"advisory","ref_index":2001,"audited_at":"2026-07-30T17:21:47.505356Z","event_type":"pith.integrity.v1","detected_doi":"10.1145/502030.502033","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"a7344e6862c9e5ec08b8118c77e68b3c02a9d32d15ea7d4eac13211e2541f01e","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"An extension of the relational data model to incorporate ordered domains","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":14005,"payload_sha256":"4100ba0da3034b4d09ec1b6bc416bcba7719e2bf67b9f101020741e8b544c9f6","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T17:26:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yW/AzUgn+3/sBAue93gbJI7olvVno/lXMOd19WZMNpWLZVzdryGEo1xvVT5m4ibIc5JhqLzTtE7KEX9AzlZ5Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:13:03.297285Z"},"content_sha256":"8f7bd73259a77a362b3cb0607998c5ba0b98320d657cdb28dc4fa404bf3c2476","schema_version":"1.0","event_id":"sha256:8f7bd73259a77a362b3cb0607998c5ba0b98320d657cdb28dc4fa404bf3c2476"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E6HFDK3AU5JO2DDK7DJDUFLBUH/bundle.json","state_url":"https://pith.science/pith/E6HFDK3AU5JO2DDK7DJDUFLBUH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E6HFDK3AU5JO2DDK7DJDUFLBUH/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":"2026-08-09T14:13:03Z","links":{"resolver":"https://pith.science/pith/E6HFDK3AU5JO2DDK7DJDUFLBUH","bundle":"https://pith.science/pith/E6HFDK3AU5JO2DDK7DJDUFLBUH/bundle.json","state":"https://pith.science/pith/E6HFDK3AU5JO2DDK7DJDUFLBUH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E6HFDK3AU5JO2DDK7DJDUFLBUH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:E6HFDK3AU5JO2DDK7DJDUFLBUH","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"325df1b9c197b458181d2c8f8c41ae2100af62e925ec4429ff80f517d0be1aa3","cross_cats_sorted":["cs.AI","cs.LG","cs.PF"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-26T12:36:31Z","title_canon_sha256":"d85e6df4def2f2621e2d8ba84f21d71942728ac48d3aa2f69489ae75ddef893b"},"schema_version":"1.0","source":{"id":"2607.23632","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23632","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23632v1","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23632","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"pith_short_12","alias_value":"E6HFDK3AU5JO","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"pith_short_16","alias_value":"E6HFDK3AU5JO2DDK","created_at":"2026-07-28T01:23:02Z"},{"alias_kind":"pith_short_8","alias_value":"E6HFDK3A","created_at":"2026-07-28T01:23:02Z"}],"graph_snapshots":[{"event_id":"sha256:2f2d4c3df807107e98526e5153e9ce480fa8b32a0a7fe206a6d1c16cac484e82","target":"graph","created_at":"2026-07-28T01:23:02Z","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/2607.23632/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Science-intensive data profiling focuses on discovery and validation of various patterns in datasets. This study considers discovery of one such pattern - order dependency (OD). Simply put, OD states that some list of columns is ordered according to another one. It is of use for database query optimization, data cleaning and deduplication, anomaly detection, and much more.\n  Existing discovery methods have approached this problem solely from the algorithmic standpoint, without focusing on the implementation side. At the same time, this problem is very computationally intensive, and therefore t","authors_text":"Dmitriy Shcheka, George Chernishev, Kirill Stupakov, Michael Polyntsov, Mikhail Firsov, Yakov Kuzin","cross_cats":["cs.AI","cs.LG","cs.PF"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-26T12:36:31Z","title":"Order in Desbordante: Techniques for Efficient Implementation of Order Dependency Discovery Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23632","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":"sha256:289fe1872c53a6facf702368724fb821e19f58e507ce7ec644f92dc7828e0666","target":"record","created_at":"2026-07-28T01:23:02Z","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":"325df1b9c197b458181d2c8f8c41ae2100af62e925ec4429ff80f517d0be1aa3","cross_cats_sorted":["cs.AI","cs.LG","cs.PF"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-26T12:36:31Z","title_canon_sha256":"d85e6df4def2f2621e2d8ba84f21d71942728ac48d3aa2f69489ae75ddef893b"},"schema_version":"1.0","source":{"id":"2607.23632","kind":"arxiv","version":1}},"canonical_sha256":"278e51ab60a752ed0c6af8d23a1561a1ca7852b2299af032dcd6bf2a4f7cb0ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"278e51ab60a752ed0c6af8d23a1561a1ca7852b2299af032dcd6bf2a4f7cb0ec","first_computed_at":"2026-07-28T01:23:02.797513Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T01:23:02.797513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VGwUsmfXuw8fzcMsX7bYdYxMdqDKC7R1276thWoEF2YC5FHyK5Mz7zN0U//atR28dXIbNNMMDGb07/fpxmrzDQ==","signature_status":"signed_v1","signed_at":"2026-07-28T01:23:02.798295Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.23632","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:289fe1872c53a6facf702368724fb821e19f58e507ce7ec644f92dc7828e0666","sha256:2f2d4c3df807107e98526e5153e9ce480fa8b32a0a7fe206a6d1c16cac484e82","sha256:8f7bd73259a77a362b3cb0607998c5ba0b98320d657cdb28dc4fa404bf3c2476"],"state_sha256":"831d23442d39691725091e5fa5951159b3cef81fbcb1ff390250a74edf48992e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b43nBEhi5i6oQav/w+G9CtfP/0aBg8mubBREiNAolbK5YX5E+OmyH81Wm2wQdAzp8f3BWJl99VFZ0iGasOTdCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T14:13:03.299457Z","bundle_sha256":"60f267e2ae1778168ce131baf560faf22ca058d1b3ad8d0620017b8174f84b8f"}}