{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:EKOHUFAYFSD2HRCW66SPSM54HD","short_pith_number":"pith:EKOHUFAY","canonical_record":{"source":{"id":"1811.02304","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-11-06T11:51:10Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"faac6f65e0194ee78976412af9f348a6e3acac57391c41f3a58c3d5fff0f7253","abstract_canon_sha256":"667d627d63cbcda5017bf652cf36f12b778449a55b3e6fe9d92b6937d0670353"},"schema_version":"1.0"},"canonical_sha256":"229c7a14182c87a3c456f7a4f933bc38cf508a580e18181deb1baffa2674e5ac","source":{"kind":"arxiv","id":"1811.02304","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.02304","created_at":"2026-05-18T00:00:42Z"},{"alias_kind":"arxiv_version","alias_value":"1811.02304v2","created_at":"2026-05-18T00:00:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02304","created_at":"2026-05-18T00:00:42Z"},{"alias_kind":"pith_short_12","alias_value":"EKOHUFAYFSD2","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EKOHUFAYFSD2HRCW","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EKOHUFAY","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:EKOHUFAYFSD2HRCW66SPSM54HD","target":"record","payload":{"canonical_record":{"source":{"id":"1811.02304","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-11-06T11:51:10Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"faac6f65e0194ee78976412af9f348a6e3acac57391c41f3a58c3d5fff0f7253","abstract_canon_sha256":"667d627d63cbcda5017bf652cf36f12b778449a55b3e6fe9d92b6937d0670353"},"schema_version":"1.0"},"canonical_sha256":"229c7a14182c87a3c456f7a4f933bc38cf508a580e18181deb1baffa2674e5ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:42.861539Z","signature_b64":"GXDLfSFhMiljZqpNV/tzMP6URiJdrVun4xn0K1CesjhewKkpJgZki8HE4b6hxeHYcdKa9d5G7nEIv6i0kO8aBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"229c7a14182c87a3c456f7a4f933bc38cf508a580e18181deb1baffa2674e5ac","last_reissued_at":"2026-05-18T00:00:42.861188Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:42.861188Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.02304","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:00:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ohmJRCmPQUlmEkavAkBvYCbkd2mwQf85ei6V7HTkMdYHDsnofxjYb0nv0cbTntsrBEf6AuDb4sX1RQTbdn9GBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:12:36.266803Z"},"content_sha256":"4ad5e61191a9299e16a15440ad9a9dd3a0a1d146be8246049994e024b7f67e99","schema_version":"1.0","event_id":"sha256:4ad5e61191a9299e16a15440ad9a9dd3a0a1d146be8246049994e024b7f67e99"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:EKOHUFAYFSD2HRCW66SPSM54HD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modular Materialisation of Datalog Programs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.AI","authors_text":"Boris Motik, Ian Horrocks, Pan Hu","submitted_at":"2018-11-06T11:51:10Z","abstract_excerpt":"The semina\\\"ive algorithm can materialise all consequences of arbitrary datalog rules, and it also forms the basis for incremental algorithms that update a materialisation as the input facts change. Certain (combinations of) rules, however, can be handled much more efficiently using custom algorithms. To integrate such algorithms into a general reasoning approach that can handle arbitrary rules, we propose a modular framework for materialisation computation and its maintenance. We split a datalog program into modules that can be handled using specialised algorithms, and handle the remaining ru"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02304","kind":"arxiv","version":2},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:00:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MfqUA6nRN1ZDDFg2aOo9SqjtRaJ4zdQNgQNy+2dY4RyN15zY2YusoZ/+xByoLflsM5m0Feo1MztBapdYtFDnDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:12:36.267225Z"},"content_sha256":"ffb1163bd3a60343e067e6b910ca308b324637ed7fd3fa4a20dab260f410e9fd","schema_version":"1.0","event_id":"sha256:ffb1163bd3a60343e067e6b910ca308b324637ed7fd3fa4a20dab260f410e9fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EKOHUFAYFSD2HRCW66SPSM54HD/bundle.json","state_url":"https://pith.science/pith/EKOHUFAYFSD2HRCW66SPSM54HD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EKOHUFAYFSD2HRCW66SPSM54HD/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":"2026-05-26T09:12:36Z","links":{"resolver":"https://pith.science/pith/EKOHUFAYFSD2HRCW66SPSM54HD","bundle":"https://pith.science/pith/EKOHUFAYFSD2HRCW66SPSM54HD/bundle.json","state":"https://pith.science/pith/EKOHUFAYFSD2HRCW66SPSM54HD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EKOHUFAYFSD2HRCW66SPSM54HD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EKOHUFAYFSD2HRCW66SPSM54HD","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":"667d627d63cbcda5017bf652cf36f12b778449a55b3e6fe9d92b6937d0670353","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-11-06T11:51:10Z","title_canon_sha256":"faac6f65e0194ee78976412af9f348a6e3acac57391c41f3a58c3d5fff0f7253"},"schema_version":"1.0","source":{"id":"1811.02304","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.02304","created_at":"2026-05-18T00:00:42Z"},{"alias_kind":"arxiv_version","alias_value":"1811.02304v2","created_at":"2026-05-18T00:00:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.02304","created_at":"2026-05-18T00:00:42Z"},{"alias_kind":"pith_short_12","alias_value":"EKOHUFAYFSD2","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EKOHUFAYFSD2HRCW","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EKOHUFAY","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:ffb1163bd3a60343e067e6b910ca308b324637ed7fd3fa4a20dab260f410e9fd","target":"graph","created_at":"2026-05-18T00:00:42Z","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"},"paper":{"abstract_excerpt":"The semina\\\"ive algorithm can materialise all consequences of arbitrary datalog rules, and it also forms the basis for incremental algorithms that update a materialisation as the input facts change. Certain (combinations of) rules, however, can be handled much more efficiently using custom algorithms. To integrate such algorithms into a general reasoning approach that can handle arbitrary rules, we propose a modular framework for materialisation computation and its maintenance. We split a datalog program into modules that can be handled using specialised algorithms, and handle the remaining ru","authors_text":"Boris Motik, Ian Horrocks, Pan Hu","cross_cats":["cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-11-06T11:51:10Z","title":"Modular Materialisation of Datalog Programs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.02304","kind":"arxiv","version":2},"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":"sha256:4ad5e61191a9299e16a15440ad9a9dd3a0a1d146be8246049994e024b7f67e99","target":"record","created_at":"2026-05-18T00:00:42Z","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":"667d627d63cbcda5017bf652cf36f12b778449a55b3e6fe9d92b6937d0670353","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-11-06T11:51:10Z","title_canon_sha256":"faac6f65e0194ee78976412af9f348a6e3acac57391c41f3a58c3d5fff0f7253"},"schema_version":"1.0","source":{"id":"1811.02304","kind":"arxiv","version":2}},"canonical_sha256":"229c7a14182c87a3c456f7a4f933bc38cf508a580e18181deb1baffa2674e5ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"229c7a14182c87a3c456f7a4f933bc38cf508a580e18181deb1baffa2674e5ac","first_computed_at":"2026-05-18T00:00:42.861188Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:42.861188Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GXDLfSFhMiljZqpNV/tzMP6URiJdrVun4xn0K1CesjhewKkpJgZki8HE4b6hxeHYcdKa9d5G7nEIv6i0kO8aBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:42.861539Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.02304","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ad5e61191a9299e16a15440ad9a9dd3a0a1d146be8246049994e024b7f67e99","sha256:ffb1163bd3a60343e067e6b910ca308b324637ed7fd3fa4a20dab260f410e9fd"],"state_sha256":"dc64051d52646aea71e8a069070dd29bd494088feea5778cd783b06a800e4e64"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"706vSl5Q4W5JWMbhoRS7kBjCxC2AdxQwR8a0i+MiTvS56sVqGlI+xS8dA/Huv61S7+66wtuj0GZfk+y3+Sm2Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T09:12:36.270942Z","bundle_sha256":"8809959edcf3d4ec79b9d7f41f5b170302f723f821c126453894d493fd91d139"}}