{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:Z7JAL43H4WNPTS5TQM74CSRWNV","short_pith_number":"pith:Z7JAL43H","canonical_record":{"source":{"id":"2410.15145","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-19T16:12:22Z","cross_cats_sorted":[],"title_canon_sha256":"dbc13259b905e5fa8cae1594d0f02e6c86cccdb84ce9a56bdef7be0e642c1044","abstract_canon_sha256":"e7de5576fc11cb65ebd1fba40845e7132860bdca287748d1cce34667a92c96a4"},"schema_version":"1.0"},"canonical_sha256":"cfd205f367e59af9cbb3833fc14a366d70af7a5d05a39a5fa56b22a59ad7e255","source":{"kind":"arxiv","id":"2410.15145","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15145","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15145v1","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15145","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"pith_short_12","alias_value":"Z7JAL43H4WNP","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"pith_short_16","alias_value":"Z7JAL43H4WNPTS5T","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"pith_short_8","alias_value":"Z7JAL43H","created_at":"2026-07-05T09:22:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:Z7JAL43H4WNPTS5TQM74CSRWNV","target":"record","payload":{"canonical_record":{"source":{"id":"2410.15145","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-19T16:12:22Z","cross_cats_sorted":[],"title_canon_sha256":"dbc13259b905e5fa8cae1594d0f02e6c86cccdb84ce9a56bdef7be0e642c1044","abstract_canon_sha256":"e7de5576fc11cb65ebd1fba40845e7132860bdca287748d1cce34667a92c96a4"},"schema_version":"1.0"},"canonical_sha256":"cfd205f367e59af9cbb3833fc14a366d70af7a5d05a39a5fa56b22a59ad7e255","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:51.001131Z","signature_b64":"9ZrK/DrdeCGHRzj/ikO3ZtO92atKWcLAiD2yackdRMmvsvdQOpTnRrKYU5gFzxrxOJ3aopFDpetzgDqJ7Bt4BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cfd205f367e59af9cbb3833fc14a366d70af7a5d05a39a5fa56b22a59ad7e255","last_reissued_at":"2026-07-05T09:22:51.000634Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:51.000634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.15145","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":"2026-07-05T09:22:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uquaTROoPLQBQ5eIP+RUH7cauzXRaGzqtiUQSv6zlcL36hoJ02HlPf4M9koZgRF7OEZNJ3pUy99djmts0/zUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:50:51.858953Z"},"content_sha256":"b63c246251527a60e10239c3b2188380092a7cb060c3d2255e5dc3d42a1b3b1c","schema_version":"1.0","event_id":"sha256:b63c246251527a60e10239c3b2188380092a7cb060c3d2255e5dc3d42a1b3b1c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:Z7JAL43H4WNPTS5TQM74CSRWNV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mining Asymmetric Intertextuality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Pak Kin Lau, Stuart Michael McManus","submitted_at":"2024-10-19T16:12:22Z","abstract_excerpt":"This paper introduces a new task in Natural Language Processing (NLP) and Digital Humanities (DH): Mining Asymmetric Intertextuality. Asymmetric intertextuality refers to one-sided relationships between texts, where one text cites, quotes, or borrows from another without reciprocation. These relationships are common in literature and historical texts, where a later work references aclassical or older text that remain static.\n  We propose a scalable and adaptive approach for mining asymmetric intertextuality, leveraging a split-normalize-merge paradigm. In this approach, documents are split int"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15145","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/2410.15145/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":"2026-07-05T09:22:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZMqp9GlzRDPsWLAkv1u4p57kM5iKg5Qv506XPE1SmCy3zYrJNm71m1BlNU17Q/izTvVFsfc2TvSXGJlKzK67BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:50:51.859540Z"},"content_sha256":"b0927a0e7e2a6b00257cb1d249c1dd2de33405cf78b97c65b2c26ade6f2a8697","schema_version":"1.0","event_id":"sha256:b0927a0e7e2a6b00257cb1d249c1dd2de33405cf78b97c65b2c26ade6f2a8697"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z7JAL43H4WNPTS5TQM74CSRWNV/bundle.json","state_url":"https://pith.science/pith/Z7JAL43H4WNPTS5TQM74CSRWNV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z7JAL43H4WNPTS5TQM74CSRWNV/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":"2026-08-04T16:50:51Z","links":{"resolver":"https://pith.science/pith/Z7JAL43H4WNPTS5TQM74CSRWNV","bundle":"https://pith.science/pith/Z7JAL43H4WNPTS5TQM74CSRWNV/bundle.json","state":"https://pith.science/pith/Z7JAL43H4WNPTS5TQM74CSRWNV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z7JAL43H4WNPTS5TQM74CSRWNV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Z7JAL43H4WNPTS5TQM74CSRWNV","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":"e7de5576fc11cb65ebd1fba40845e7132860bdca287748d1cce34667a92c96a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-19T16:12:22Z","title_canon_sha256":"dbc13259b905e5fa8cae1594d0f02e6c86cccdb84ce9a56bdef7be0e642c1044"},"schema_version":"1.0","source":{"id":"2410.15145","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15145","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15145v1","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15145","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"pith_short_12","alias_value":"Z7JAL43H4WNP","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"pith_short_16","alias_value":"Z7JAL43H4WNPTS5T","created_at":"2026-07-05T09:22:51Z"},{"alias_kind":"pith_short_8","alias_value":"Z7JAL43H","created_at":"2026-07-05T09:22:51Z"}],"graph_snapshots":[{"event_id":"sha256:b0927a0e7e2a6b00257cb1d249c1dd2de33405cf78b97c65b2c26ade6f2a8697","target":"graph","created_at":"2026-07-05T09:22:51Z","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/2410.15145/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces a new task in Natural Language Processing (NLP) and Digital Humanities (DH): Mining Asymmetric Intertextuality. Asymmetric intertextuality refers to one-sided relationships between texts, where one text cites, quotes, or borrows from another without reciprocation. These relationships are common in literature and historical texts, where a later work references aclassical or older text that remain static.\n  We propose a scalable and adaptive approach for mining asymmetric intertextuality, leveraging a split-normalize-merge paradigm. In this approach, documents are split int","authors_text":"Pak Kin Lau, Stuart Michael McManus","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-19T16:12:22Z","title":"Mining Asymmetric Intertextuality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15145","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:b63c246251527a60e10239c3b2188380092a7cb060c3d2255e5dc3d42a1b3b1c","target":"record","created_at":"2026-07-05T09:22:51Z","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":"e7de5576fc11cb65ebd1fba40845e7132860bdca287748d1cce34667a92c96a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2024-10-19T16:12:22Z","title_canon_sha256":"dbc13259b905e5fa8cae1594d0f02e6c86cccdb84ce9a56bdef7be0e642c1044"},"schema_version":"1.0","source":{"id":"2410.15145","kind":"arxiv","version":1}},"canonical_sha256":"cfd205f367e59af9cbb3833fc14a366d70af7a5d05a39a5fa56b22a59ad7e255","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cfd205f367e59af9cbb3833fc14a366d70af7a5d05a39a5fa56b22a59ad7e255","first_computed_at":"2026-07-05T09:22:51.000634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:51.000634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ZrK/DrdeCGHRzj/ikO3ZtO92atKWcLAiD2yackdRMmvsvdQOpTnRrKYU5gFzxrxOJ3aopFDpetzgDqJ7Bt4BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:51.001131Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.15145","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b63c246251527a60e10239c3b2188380092a7cb060c3d2255e5dc3d42a1b3b1c","sha256:b0927a0e7e2a6b00257cb1d249c1dd2de33405cf78b97c65b2c26ade6f2a8697"],"state_sha256":"a825eb77ca2c21a2f5aa69c44353c4d4591e0315eb825283372f190ad1e8bef8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"72aotYaQFDyt6/fX2S7nLa4EZ7PzlcUceMZUNm+711TrK0pZcwzgktmm55GMu5FD6SeM61f9sVi/5IaCTXaODA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T16:50:51.863237Z","bundle_sha256":"37e19e673dc757266ad7d4488f6fb18ced1388c284a2ebbb5e667e52f179d7a1"}}