{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:GAWG3V3E2G4ESXG4J3KM23QXKG","short_pith_number":"pith:GAWG3V3E","schema_version":"1.0","canonical_sha256":"302c6dd764d1b8495cdc4ed4cd6e175194e5b56d1b19a004432baea8744ec8e9","source":{"kind":"arxiv","id":"2211.15424","version":1},"attestation_state":"computed","paper":{"title":"DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Ankit Pal","submitted_at":"2022-11-15T04:55:32Z","abstract_excerpt":"This paper introduces DeepParliament, a legal domain Benchmark Dataset that gathers bill documents and metadata and performs various bill status classification tasks. The proposed dataset text covers a broad range of bills from 1986 to the present and contains richer information on parliament bill content. Data collection, detailed statistics and analyses are provided in the paper. Moreover, we experimented with different types of models ranging from RNN to pretrained and reported the results. We are proposing two new benchmarks: Binary and Multi-Class Bill Status classification. Models develo"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2211.15424","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-11-15T04:55:32Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"e8afe83c8c51e71152c8180027878be355179154c5d52b113edb45f5d62ae1e8","abstract_canon_sha256":"6b37216f2988a7d8fd4ddd316e8e40a6a05aab029b28391531a297137e473c8c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:20:03.566732Z","signature_b64":"0RY1n2P1cBh0EYGZXN6CeSwLIp8isGi+bHYtXSL5PlGm9Y+L8EyiVbSVodLH3XUsgkgWqG7X8Sg3qiWKFwutCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"302c6dd764d1b8495cdc4ed4cd6e175194e5b56d1b19a004432baea8744ec8e9","last_reissued_at":"2026-07-05T05:20:03.566242Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:20:03.566242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Ankit Pal","submitted_at":"2022-11-15T04:55:32Z","abstract_excerpt":"This paper introduces DeepParliament, a legal domain Benchmark Dataset that gathers bill documents and metadata and performs various bill status classification tasks. The proposed dataset text covers a broad range of bills from 1986 to the present and contains richer information on parliament bill content. Data collection, detailed statistics and analyses are provided in the paper. Moreover, we experimented with different types of models ranging from RNN to pretrained and reported the results. We are proposing two new benchmarks: Binary and Multi-Class Bill Status classification. Models develo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15424","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/2211.15424/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2211.15424","created_at":"2026-07-05T05:20:03.566305+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.15424v1","created_at":"2026-07-05T05:20:03.566305+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15424","created_at":"2026-07-05T05:20:03.566305+00:00"},{"alias_kind":"pith_short_12","alias_value":"GAWG3V3E2G4E","created_at":"2026-07-05T05:20:03.566305+00:00"},{"alias_kind":"pith_short_16","alias_value":"GAWG3V3E2G4ESXG4","created_at":"2026-07-05T05:20:03.566305+00:00"},{"alias_kind":"pith_short_8","alias_value":"GAWG3V3E","created_at":"2026-07-05T05:20:03.566305+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.16843","citing_title":"RTI-Bench: A Structured Dataset for Indian Right-to-Information Decision Analysis","ref_index":5,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG","json":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG.json","graph_json":"https://pith.science/api/pith-number/GAWG3V3E2G4ESXG4J3KM23QXKG/graph.json","events_json":"https://pith.science/api/pith-number/GAWG3V3E2G4ESXG4J3KM23QXKG/events.json","paper":"https://pith.science/paper/GAWG3V3E"},"agent_actions":{"view_html":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG","download_json":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG.json","view_paper":"https://pith.science/paper/GAWG3V3E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.15424&json=true","fetch_graph":"https://pith.science/api/pith-number/GAWG3V3E2G4ESXG4J3KM23QXKG/graph.json","fetch_events":"https://pith.science/api/pith-number/GAWG3V3E2G4ESXG4J3KM23QXKG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG/action/storage_attestation","attest_author":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG/action/author_attestation","sign_citation":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG/action/citation_signature","submit_replication":"https://pith.science/pith/GAWG3V3E2G4ESXG4J3KM23QXKG/action/replication_record"}},"created_at":"2026-07-05T05:20:03.566305+00:00","updated_at":"2026-07-05T05:20:03.566305+00:00"}