{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:G75RVKQMXW2HN3D254VNHQVGZB","short_pith_number":"pith:G75RVKQM","canonical_record":{"source":{"id":"2607.16603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-18T02:46:06Z","cross_cats_sorted":[],"title_canon_sha256":"bda739cc79d9a792e6e796d8de5e23d0aef7b14531ff67b40a369400e8b3aa4f","abstract_canon_sha256":"cdf8e472596a707159e3f19bff35f1890f40ecf9db6e57719bbf51b1fe4abddc"},"schema_version":"1.0"},"canonical_sha256":"37fb1aaa0cbdb476ec7aef2ad3c2a6c876a4787e106d0792193cab6c4e292fc8","source":{"kind":"arxiv","id":"2607.16603","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.16603","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.16603v1","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16603","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"G75RVKQMXW2H","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"G75RVKQMXW2HN3D2","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"G75RVKQM","created_at":"2026-07-21T00:20:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:G75RVKQMXW2HN3D254VNHQVGZB","target":"record","payload":{"canonical_record":{"source":{"id":"2607.16603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-18T02:46:06Z","cross_cats_sorted":[],"title_canon_sha256":"bda739cc79d9a792e6e796d8de5e23d0aef7b14531ff67b40a369400e8b3aa4f","abstract_canon_sha256":"cdf8e472596a707159e3f19bff35f1890f40ecf9db6e57719bbf51b1fe4abddc"},"schema_version":"1.0"},"canonical_sha256":"37fb1aaa0cbdb476ec7aef2ad3c2a6c876a4787e106d0792193cab6c4e292fc8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T00:20:27.815141Z","signature_b64":"uOfsqBWWLlx9GQSnWgCsMzLTfqxZyTZT/UqIs/wJ/mWvV1E5Lday8o0CVtCp/xD3oJn5GV41dUsRNiBTYvlHAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37fb1aaa0cbdb476ec7aef2ad3c2a6c876a4787e106d0792193cab6c4e292fc8","last_reissued_at":"2026-07-21T00:20:27.814187Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T00:20:27.814187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.16603","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":"2026-07-21T00:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GhK+FYxi+wXC7zcVlxOB+k29ZFABOI21g+50wTj1CNBtCwr37pyqlCUjcjA2lrT8qgDqJgIipWEJSR+Uw3ngAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:59:12.832135Z"},"content_sha256":"8820c498f62380251762e7892e0e2b3cb769f8dea0637aff77fd32786f3ab7f7","schema_version":"1.0","event_id":"sha256:8820c498f62380251762e7892e0e2b3cb769f8dea0637aff77fd32786f3ab7f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:G75RVKQMXW2HN3D254VNHQVGZB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ha-Thanh Nguyen, Hoang-Trung Nguyen, Huu-Dong Nguyen, Le-Dung Nguyen, Quang-Thanh Tran, Thi-Hai-Yen Vuong, Thuong-Hieu Ngo, Xuan-Bach Le","submitted_at":"2026-07-18T02:46:06Z","abstract_excerpt":"This paper presents the methodologies and results of the NOWJ team's participation across all five tasks of the COLIEE 2026 competition. For Task 1 (Legal Case Retrieval), we propose a four-stage pipeline comprising candidate filtering, dense retrieval with complementary embedding models, cross-encoder reranking via fine-tuned generative rerankers and MLP-based pairwise classification, and adaptive per-query cutoff prediction. For Task 2 (Legal Case Entailment), we combine BM25 filtering, T5-based reranking, and LLM-based entailment verification with consensus ensemble. For Task 3 (Statute Law"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16603","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/2607.16603/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":"2026-07-21T00:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zz2xeRq3wO0NB1SDkMo0FMOdxCM9nFsq7vFKzGqElXx23Z2bZy0Ksq8+0ikpBmO65IXCYy31wqn069PqjU6NBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:59:12.832801Z"},"content_sha256":"88d433fb5ac417deb0d81cdebe25b8a57fb9fced48d3ae4eaebdbb281f94b2e3","schema_version":"1.0","event_id":"sha256:88d433fb5ac417deb0d81cdebe25b8a57fb9fced48d3ae4eaebdbb281f94b2e3"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:G75RVKQMXW2HN3D254VNHQVGZB","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/s12626-026-00211-2) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Dat Nguyen, Minh-Phuong Nguyen, Quang-Huy Chu, Son T. Luu, Nguyen- Hoang Chu, Trung Vo, and Le-Minh Nguyen. 2026. Enhancing Legal Text Processing and Structural Analysis with Large Language Models at COLIEE 2025. The Review of Socionetwork ","arxiv_id":"2607.16603","detector":"doi_compliance","evidence":{"ref_index":5,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/s12626-","reconstructed_doi":"10.1007/s12626-026-00211-2"},"severity":"advisory","ref_index":5,"audited_at":"2026-08-01T20:38:47.897323Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/s12626-026-00211-2","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"a6b01e4b6e330657474b8d0f7ccdec2f5f0093ebca3c684de80ad9e78b62de1e","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16573,"payload_sha256":"1b6af4325111c0f88a2c782a0245372875f0cb38864c96fc27669f29f218f183","signature_b64":"CMcuPn1B0c4kW4yE5XihqXfYrN2FOhDGmFMNr+CZuQc6e77L68Eeg/70bCZLLiVUmSZJ89jDySd58nWPp7aJAA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-01T20:43:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PJgj5NmEY5HsnAjdV//nrFjHsxbFhlUEa2HJ1BN4rAdeTtBPor4hzHASqSp4fk5CkQ4/wvEAfbLrU8UgNMyjDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:59:12.837229Z"},"content_sha256":"e4c5bf22619e1799a530c2a75c96ad0c771ab9a6d20f17c334b90dc31f67b30f","schema_version":"1.0","event_id":"sha256:e4c5bf22619e1799a530c2a75c96ad0c771ab9a6d20f17c334b90dc31f67b30f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G75RVKQMXW2HN3D254VNHQVGZB/bundle.json","state_url":"https://pith.science/pith/G75RVKQMXW2HN3D254VNHQVGZB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G75RVKQMXW2HN3D254VNHQVGZB/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":"2026-08-09T17:59:12Z","links":{"resolver":"https://pith.science/pith/G75RVKQMXW2HN3D254VNHQVGZB","bundle":"https://pith.science/pith/G75RVKQMXW2HN3D254VNHQVGZB/bundle.json","state":"https://pith.science/pith/G75RVKQMXW2HN3D254VNHQVGZB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G75RVKQMXW2HN3D254VNHQVGZB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:G75RVKQMXW2HN3D254VNHQVGZB","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":"cdf8e472596a707159e3f19bff35f1890f40ecf9db6e57719bbf51b1fe4abddc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-18T02:46:06Z","title_canon_sha256":"bda739cc79d9a792e6e796d8de5e23d0aef7b14531ff67b40a369400e8b3aa4f"},"schema_version":"1.0","source":{"id":"2607.16603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.16603","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.16603v1","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16603","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"G75RVKQMXW2H","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"G75RVKQMXW2HN3D2","created_at":"2026-07-21T00:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"G75RVKQM","created_at":"2026-07-21T00:20:27Z"}],"graph_snapshots":[{"event_id":"sha256:88d433fb5ac417deb0d81cdebe25b8a57fb9fced48d3ae4eaebdbb281f94b2e3","target":"graph","created_at":"2026-07-21T00:20:27Z","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/2607.16603/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents the methodologies and results of the NOWJ team's participation across all five tasks of the COLIEE 2026 competition. For Task 1 (Legal Case Retrieval), we propose a four-stage pipeline comprising candidate filtering, dense retrieval with complementary embedding models, cross-encoder reranking via fine-tuned generative rerankers and MLP-based pairwise classification, and adaptive per-query cutoff prediction. For Task 2 (Legal Case Entailment), we combine BM25 filtering, T5-based reranking, and LLM-based entailment verification with consensus ensemble. For Task 3 (Statute Law","authors_text":"Ha-Thanh Nguyen, Hoang-Trung Nguyen, Huu-Dong Nguyen, Le-Dung Nguyen, Quang-Thanh Tran, Thi-Hai-Yen Vuong, Thuong-Hieu Ngo, Xuan-Bach Le","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-18T02:46:06Z","title":"NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16603","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":"sha256:8820c498f62380251762e7892e0e2b3cb769f8dea0637aff77fd32786f3ab7f7","target":"record","created_at":"2026-07-21T00:20:27Z","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":"cdf8e472596a707159e3f19bff35f1890f40ecf9db6e57719bbf51b1fe4abddc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-18T02:46:06Z","title_canon_sha256":"bda739cc79d9a792e6e796d8de5e23d0aef7b14531ff67b40a369400e8b3aa4f"},"schema_version":"1.0","source":{"id":"2607.16603","kind":"arxiv","version":1}},"canonical_sha256":"37fb1aaa0cbdb476ec7aef2ad3c2a6c876a4787e106d0792193cab6c4e292fc8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37fb1aaa0cbdb476ec7aef2ad3c2a6c876a4787e106d0792193cab6c4e292fc8","first_computed_at":"2026-07-21T00:20:27.814187Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T00:20:27.814187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uOfsqBWWLlx9GQSnWgCsMzLTfqxZyTZT/UqIs/wJ/mWvV1E5Lday8o0CVtCp/xD3oJn5GV41dUsRNiBTYvlHAQ==","signature_status":"signed_v1","signed_at":"2026-07-21T00:20:27.815141Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.16603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8820c498f62380251762e7892e0e2b3cb769f8dea0637aff77fd32786f3ab7f7","sha256:88d433fb5ac417deb0d81cdebe25b8a57fb9fced48d3ae4eaebdbb281f94b2e3","sha256:e4c5bf22619e1799a530c2a75c96ad0c771ab9a6d20f17c334b90dc31f67b30f"],"state_sha256":"a2a9fc57e43f2019bb6ee119f92042951b3fdd8938fb493ff44e6483f3f92d37"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iEiPI/LBC6KukFy5fEdnCXjBLK8IcZzfDL6aoksbBIJBGtV/QtzoFeHVJw9vq6QBRvj8zi5w4fKsT6k8UR4qAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:59:12.839377Z","bundle_sha256":"bbdd4b7f376fc8b4af79fb598f5d3cca1590b34507b1b9ff890f6577839b20e7"}}