{"as_of":"2026-08-12T07:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e1b608effe7ddd23ebb55b1e4ad15008a4544c8184442a5c1feb1ad4210071e","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:23:28.680945Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.20468/citation-record","integrity":"/paper/2412.20468/integrity","json":"/paper/2412.20468/citation-record.json","paper":"/paper/2412.20468"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.09136","last_updated":"2023-03-16T08:01:22Z","snapshot_observed_at":"2026-08-08T20:48:07.587002Z","submitted_at":"2023-03-16T08:01:22Z","title":"A Short Survey of Viewing Large Language Models in Legal Aspect","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09136","snapshot_observed_at":"2026-08-10T23:23:27.901725Z","title":"A short survey of viewing large language models in legal aspect,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.901725Z"},"links":{"cited_paper":"/paper/2303.09136","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:5ea29cf4b765d8c21a8c72303e0c14de450b8ba89327003408f753893e003dce","observation_id":"b2b8e5cd-dbc8-4e01-97ad-261e187cb137","resolution":{"observed_at":"2026-08-10T23:23:27.901725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:27.915967Z","title":"To what extent have llms reshaped the legal domain so far? a scoping literature review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.915967Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:be03edde9433c5a92f51e0672c5339234acf147f5bd4844f858fa58f6d72ae89","observation_id":"fd7f0e03-d631-4b0d-a297-a8ff118a9aeb","resolution":{"observed_at":"2026-08-10T23:23:27.915967Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20362","last_updated":"2024-05-30T17:56:05Z","snapshot_observed_at":"2026-08-05T11:35:24.583000Z","submitted_at":"2024-05-30T17:56:05Z","title":"Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20362","snapshot_observed_at":"2026-08-10T23:23:27.925365Z","title":"Hallucination-free? assessing the reliability of leading ai legal research tools,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.925365Z"},"links":{"cited_paper":"/paper/2405.20362","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:fc532d5b25e9b8b621a39462a0bbdeaf8a8c157dbcd9ba0f59e7ab1685986cb9","observation_id":"3ca721ac-d0ff-460c-bb67-cea8a51a547a","resolution":{"observed_at":"2026-08-10T23:23:27.925365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.883573Z","title":"Cbr-rag: case-based reasoning for retrieval augmented generation in llms for legal question answering,","venue":null,"work_id":"c756e5ee-3506-461f-92a9-6f5aa145ddc3","year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.939374Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:0b93c6d9ed6b2f6535a61e607b42c272fe28fb0d337794b2c3b07a9c24d814fe","observation_id":"574ed59e-1029-465d-99ee-e8f3f17fae81","resolution":{"observed_at":"2026-08-10T23:23:29.919861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.867477Z","title":"Ethical framework for harnessing the power of ai in healthcare and beyond,","venue":null,"work_id":"eee9e34a-507c-4e71-a1e5-99acfc8eef9b","year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.945680Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:3a216bdac2eac0585b53541506017746fd8048b47f7adcf8512d144e46d58711","observation_id":"83387b54-4c27-48cd-978a-3cb45cd4ed25","resolution":{"observed_at":"2026-08-10T23:23:29.872954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05922","last_updated":"2023-09-12T02:34:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-12T02:34:06Z","title":"A Survey of Hallucination in Large Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05922","snapshot_observed_at":"2026-08-10T23:23:27.958672Z","title":"A survey of hallucination in large foundation models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.958672Z"},"links":{"cited_paper":"/paper/2309.05922","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:ecd3398758a018e6787b4c5f65cec3c29595077cb4a224e52a72dac8e385ae5a","observation_id":"4ca0d5a6-24e4-4eed-aad5-c4c2f6a2c91e","resolution":{"observed_at":"2026-08-10T23:23:27.958672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.850073Z","title":"Large language models in law: A survey,","venue":null,"work_id":"214cdf2a-9065-43b9-8509-bfc1298c5a40","year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.977060Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:83b8fd4f0546f37a6b1a805dcedb009e30c4632da823c2096d8b377ac55dd1aa","observation_id":"0aee7269-c725-4a40-b11d-b509e8ecca72","resolution":{"observed_at":"2026-08-10T23:23:29.855635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-10T23:23:27.990998Z","title":"Language models are few-shot learners,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:27.990998Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:ee3817737d8a9fb4866bbd5dc38d2970c7b70c59b1c85e679d9b820e287eb67c","observation_id":"987d0162-aa8b-42ba-8589-08acdbc88e1b","resolution":{"observed_at":"2026-08-10T23:23:27.990998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-10T23:23:28.023249Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.023249Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:4de85b8262e330a2861d1bfa4b364b93c2f1a65df6c03ecd4110bcd14d3dd8b2","observation_id":"8cb8d2e9-ec60-476c-a5c8-b6d89c0330a3","resolution":{"observed_at":"2026-08-10T23:23:28.023249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.832024Z","title":"Customizing contextualized language models for legal document reviews,","venue":null,"work_id":"b01529fd-8c70-4fa1-a2c5-3c44a784a95d","year":2020},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.058762Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:c9320856856bb2bb656b7ce5dd9371a1d0e90077ea602ab4dc8b9da899eda033","observation_id":"9df60e3f-4082-42ec-8bb2-5ef323b4691d","resolution":{"observed_at":"2026-08-10T23:23:29.837927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02559","last_updated":"2020-10-06T09:06:07Z","snapshot_observed_at":"2026-08-10T18:45:29.861598Z","submitted_at":"2020-10-06T09:06:07Z","title":"LEGAL-BERT: The Muppets straight out of Law School","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02559","snapshot_observed_at":"2026-08-10T23:23:28.079520Z","title":"Legal-bert: The muppets straight out of law school,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.079520Z"},"links":{"cited_paper":"/paper/2010.02559","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:c1a0f4c3b08350eb2e33d22d8397b87e177665e52f58d116205fda6bd00d64da","observation_id":"6fb9b1d8-1e00-4ac9-a286-f8c12afc2f6e","resolution":{"observed_at":"2026-08-10T23:23:28.079520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:28.112266Z","title":"Fingpt: Open-source financial large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.112266Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:8e2fe93275624efc5eca7d0d576c279f65c60988b16139f5a7050e32998613e3","observation_id":"d6a66084-fb5e-4ff7-975d-1d69a38599e0","resolution":{"observed_at":"2026-08-10T23:23:28.112266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.806674Z","title":"Medical reports summarization using text-to-text transformer,","venue":null,"work_id":"548f1ac8-eeee-4cef-bd23-cc39443811fc","year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.140789Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:c245e4a28e2675f3da60086e7bfa65b3b01648297a84c2ae53c7c4bfdc7be819","observation_id":"f8f0b881-c773-443d-895a-c16e8919ef30","resolution":{"observed_at":"2026-08-10T23:23:29.812694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11325","last_updated":"2023-09-23T18:36:21Z","snapshot_observed_at":"2026-08-12T02:25:35.983373Z","submitted_at":"2023-09-20T13:50:26Z","title":"DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11325","snapshot_observed_at":"2026-08-10T23:23:28.172779Z","title":"Disc-lawllm: Fine-tuning large language models for intelligent legal services,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.172779Z"},"links":{"cited_paper":"/paper/2309.11325","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:71fc0f053b49ce4851aec242c3e8d7a3c0976534e3a1a5212fbb803c8e7204b6","observation_id":"79562efb-7a7f-48ea-8b7e-000cae45be9e","resolution":{"observed_at":"2026-08-10T23:23:28.172779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.16092","last_updated":"2026-06-08T08:40:57Z","snapshot_observed_at":"2026-07-06T15:47:45.886474Z","submitted_at":"2023-06-28T10:48:34Z","title":"Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.16092","snapshot_observed_at":"2026-08-10T23:23:28.189298Z","title":"Chatlaw: Open-source legal large language model with integrated external knowledge bases,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.189298Z"},"links":{"cited_paper":"/paper/2306.16092","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:90f6bdf07813af4dd32d826edb8f55c1b74b445024f60c9a2aafd0dda0bd0867","observation_id":"af61166a-1e0e-4406-9455-51948adf339e","resolution":{"observed_at":"2026-08-10T23:23:28.189298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-10T23:23:28.210592Z","title":"Lora: Low-rank adaptation of large language models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.210592Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:f64eb4c77d09a037092f23a05b9d2042b6138c4eac8eda1e8231bc48fdde0f00","observation_id":"364c076a-9c07-47e7-9172-5be5d05378ee","resolution":{"observed_at":"2026-08-10T23:23:28.210592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05431","last_updated":"2023-06-05T08:42:59Z","snapshot_observed_at":"2026-08-10T12:09:45.825291Z","submitted_at":"2023-06-05T08:42:59Z","title":"LexGPT 0.1: pre-trained GPT-J models with Pile of Law","version":1},"cited_work":{"arxiv_id":"2306.05431","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.05431","snapshot_observed_at":"2026-08-10T23:23:28.981306Z","title":"LexGPT 0.1: pre-trained GPT-J models with Pile of Law","venue":"cs.CL","work_id":"6b34da44-8fb6-4c9b-b704-870d2b1de4d5","year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.232195Z"},"links":{"cited_paper":"/paper/2306.05431","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:69614c43732aab1fe20531d0d32329b420d67ac95a6de871df9acc75c5cc1bb8","observation_id":"b304a58e-f104-4c71-a6f4-f106b4ddbc1c","resolution":{"observed_at":"2026-08-10T23:23:29.010863Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.769410Z","title":"Pile of law: Learning responsible data filtering from the law and a 256gb open-source legal dataset,","venue":null,"work_id":"465ae90b-b1b8-4140-948b-6df2e765eaa7","year":2022},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.255088Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:8aa20e8da71e3a2bc5b985592c9ec3e0be5e4e2efd25cafc107b18a589db2f4d","observation_id":"5d7c0801-a8ea-4cd6-9050-dbe8665c68e9","resolution":{"observed_at":"2026-08-10T23:23:29.782961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.01326","last_updated":"2022-12-08T22:28:10Z","snapshot_observed_at":"2026-08-10T13:12:19.085103Z","submitted_at":"2022-12-02T17:41:22Z","title":"Legal Prompting: Teaching a Language Model to Think Like a Lawyer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.01326","snapshot_observed_at":"2026-08-10T23:23:28.263305Z","title":"Legal prompting: Teaching a language model to think like a lawyer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.263305Z"},"links":{"cited_paper":"/paper/2212.01326","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:cbb3f57569e55c7542912899dc21370dcc1251b5095ef4e7be418faa14bdb6cd","observation_id":"5922e708-355f-45dc-ab92-2e878296a0dc","resolution":{"observed_at":"2026-08-10T23:23:28.263305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06100","last_updated":"2023-05-10T19:17:23Z","snapshot_observed_at":"2026-08-11T16:17:21.171509Z","submitted_at":"2023-02-13T04:56:11Z","title":"Can GPT-3 Perform Statutory Reasoning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06100","snapshot_observed_at":"2026-08-10T23:23:28.285677Z","title":"Can gpt-3 perform statutory reasoning?,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.285677Z"},"links":{"cited_paper":"/paper/2302.06100","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:65df4f4979287441cb7c3e90d84b4a6bb76c51b7ead85df5eacaa3928cfbc5b4","observation_id":"463eb2c1-3ff0-4b4e-9944-94f928c031b0","resolution":{"observed_at":"2026-08-10T23:23:28.285677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.05257","last_updated":"2020-08-12T16:08:43Z","snapshot_observed_at":"2026-08-11T19:14:34.971085Z","submitted_at":"2020-05-11T16:54:42Z","title":"A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.05257","snapshot_observed_at":"2026-08-10T23:23:28.300776Z","title":"A dataset for statutory reasoning in tax law entailment and question answering,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.300776Z"},"links":{"cited_paper":"/paper/2005.05257","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:ce72438514ce8675baeec61f5f8aa82a3bd027b4fb276a8a7567f4457a9c3f00","observation_id":"d45dabcf-4094-4341-bab5-6564c71c2681","resolution":{"observed_at":"2026-08-10T23:23:28.300776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.737330Z","title":"Tacticalgpt: Uncovering the potential of llms for predicting tactical decisions in professional football,","venue":null,"work_id":"115252cc-4634-4d69-adec-2d3bc954547d","year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.315690Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:88fa4efad8a10eb783593a0eb223ea95ad9bf0da558c068620f17fc84712423c","observation_id":"e9075dd9-8214-4c7f-9e61-59e4ef6c9a59","resolution":{"observed_at":"2026-08-10T23:23:29.751218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.684431Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks,","venue":null,"work_id":"4ce85fe3-d186-44ba-b1ac-7ee092e37caf","year":2020},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.341068Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:5423a3b12ec84170213d259953ff4dda2b22df4fb43736fdf1ab8e3a98230c9c","observation_id":"6a04e286-7c64-4816-a7a8-022f141e5c29","resolution":{"observed_at":"2026-08-10T23:23:29.706838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20724","last_updated":"2025-02-05T17:45:24Z","snapshot_observed_at":"2026-08-11T08:55:33.222981Z","submitted_at":"2024-10-28T04:39:32Z","title":"Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20724","snapshot_observed_at":"2026-08-10T23:23:28.349503Z","title":"Simple is effective: The roles of graphs and large language models in knowledge-graph-based retrieval-augmented generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.349503Z"},"links":{"cited_paper":"/paper/2410.20724","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:0ad60c092d0c21ed5d82283ef73eab737dc58fe8c82f1e256b9e4fed22a5ba6b","observation_id":"b390d89f-ad19-484a-bea9-3e3a72e1fd22","resolution":{"observed_at":"2026-08-10T23:23:28.349503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.625644Z","title":"Openagi: When llm meets domain experts,","venue":null,"work_id":"bb92a365-81db-4d46-b3ae-1cef6ffbd31d","year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.356809Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:e5246f46b49d6fbf92f1959ea997eb481b27c810f8edaacfa3e6985fc8f759dd","observation_id":"2f12479f-b24f-4d90-8a13-23203d7e43c6","resolution":{"observed_at":"2026-08-10T23:23:29.648670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:28.366343Z","title":"Deep reinforcement learning from human preferences,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.366343Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:feac930f85e5c4f9c00e6ed7a105d48e5884b548ef2b3921921cce71aedc182a","observation_id":"031edf0d-40f7-46cf-8008-0e598a570e45","resolution":{"observed_at":"2026-08-10T23:23:28.366343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.528335Z","title":"Answer retrieval in legal community question answering,","venue":null,"work_id":"fdd16de5-e68f-420f-b975-765844a3d590","year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.376822Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:8a331d99fc45719f88d1cc73764bb05f0a5babc958d4ffddb0a3cc71c6266eec","observation_id":"694c0e26-618a-4685-a2ff-d991338fd0ee","resolution":{"observed_at":"2026-08-10T23:23:29.562221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.460860Z","title":"When does pretraining help? assessing self-supervised learning for law and the casehold dataset of 53,000+ legal holdings,","venue":null,"work_id":"ada4342d-7088-44d9-afb5-cd3e2aa6bccf","year":2021},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.386541Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:fef5739934847c2da4a997bace15367019098495d764b75a7c611d0ea542dc33","observation_id":"b48a19cb-0d3f-4d37-a179-6498addb9a16","resolution":{"observed_at":"2026-08-10T23:23:29.484805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.442620Z","title":"Ledgar: A large-scale multi-label cor- pus for text classification of legal provisions in contracts,","venue":null,"work_id":"61984574-122f-411c-93ad-050af99bf4c1","year":2020},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.395562Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:2a48d3a3b535579e9989153a319a2c0c9a6c73147920dfcfbd5be5ba8fc84f50","observation_id":"7f2b10e2-780d-4812-8426-d9f5e197206c","resolution":{"observed_at":"2026-08-10T23:23:29.448159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.423542Z","title":"Gpt-4 passes the bar exam,","venue":null,"work_id":"656207eb-b255-47ed-9b1c-8fb681eb577f","year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.400948Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:8878e0b1a437576e5717e05899b1e667ddb241b9218a25372e717ac99a4b5813","observation_id":"ff7e8f8f-bdfe-4ce3-bca4-deaedaa28773","resolution":{"observed_at":"2026-08-10T23:23:29.428957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.391772Z","title":"Summary of the compe- tition on legal information, extraction/entailment (coliee) 2023,","venue":null,"work_id":"9d0cd1cd-e890-4352-af6d-c33fa1a60531","year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.425674Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:65ab5fa924af2f5e3416320acd6113a9fb75da8ddca48c27225fcf49247a21dc","observation_id":"08b7df3e-30e6-46eb-b20e-5d5ddef0db38","resolution":{"observed_at":"2026-08-10T23:23:29.402905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.00523","last_updated":"2019-12-04T02:50:00Z","snapshot_observed_at":"2026-08-11T17:08:01.942941Z","submitted_at":"2019-10-01T16:25:12Z","title":"BillSum: A Corpus for Automatic Summarization of US Legislation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.00523","snapshot_observed_at":"2026-08-10T23:23:28.478405Z","title":"Billsum: A corpus for automatic summarization of us legislation,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.478405Z"},"links":{"cited_paper":"/paper/1910.00523","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:f86d75c56f7a32fcdc1e664f7fca12f346c244caeda6ac6a06c28fafc9407882","observation_id":"6a226271-4d8d-4297-8c86-ee8587717164","resolution":{"observed_at":"2026-08-10T23:23:28.478405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.06268","last_updated":"2021-11-08T21:23:22Z","snapshot_observed_at":"2026-08-10T18:46:16.434957Z","submitted_at":"2021-03-10T18:59:34Z","title":"CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.06268","snapshot_observed_at":"2026-08-10T23:23:28.520878Z","title":"Cuad: An expert-annotated nlp dataset for legal contract review,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.520878Z"},"links":{"cited_paper":"/paper/2103.06268","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:cea2da108032f776465f7112b2c54aac942598035cc011c9059e7821c9a0a7c8","observation_id":"cea3de57-a3de-4ea4-bbc3-7f4682b23e0e","resolution":{"observed_at":"2026-08-10T23:23:28.520878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.362996Z","title":"Super-scotus: A multi-sourced dataset for the supreme court of the us,","venue":null,"work_id":"05cd9d3b-c61b-4b91-bb3f-219e912b5d01","year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.565061Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:c591d4deca8244995e577cc242e6f527a710d8a8b44a68c30a5868180891e5b7","observation_id":"18cca4b6-848d-451e-b1ad-d03c6cc51138","resolution":{"observed_at":"2026-08-10T23:23:29.374895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.13448","last_updated":"2022-10-24T17:58:59Z","snapshot_observed_at":"2026-08-02T06:01:58.700428Z","submitted_at":"2022-10-24T17:58:59Z","title":"EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.13448","snapshot_observed_at":"2026-08-10T23:23:28.583580Z","title":"Eur-lex-sum: A multi-and cross-lingual dataset for long-form summarization in the legal domain,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.583580Z"},"links":{"cited_paper":"/paper/2210.13448","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:451d36f7d1f6150e1f6d60dab8d74a090888109890d527a06e7438fb7c9b977b","observation_id":"5c9100b6-fda1-4cbd-8282-46e49a6fb412","resolution":{"observed_at":"2026-08-10T23:23:28.583580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02059","last_updated":"2019-06-05T14:56:06Z","snapshot_observed_at":"2026-08-03T01:43:19.305404Z","submitted_at":"2019-06-05T14:56:06Z","title":"Neural Legal Judgment Prediction in English","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02059","snapshot_observed_at":"2026-08-10T23:23:28.589762Z","title":"Neural legal judgment prediction in english,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.589762Z"},"links":{"cited_paper":"/paper/1906.02059","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:af0ba28f38d94501fbdabd9f65ab2a7d10eaa9e78d8bd4df64d0a5ca485ce3ac","observation_id":"2b1e9a6a-5d94-4dc8-a835-0ff2e4b02c41","resolution":{"observed_at":"2026-08-10T23:23:28.589762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-10T23:23:28.597527Z","title":"The llama 3 herd of models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.597527Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:ac99b7559cfa04dc20305da67ae6ec113d87fb0b575e0fbcb7884b2c7ce5f062","observation_id":"f2bef294-b248-4bcd-bfae-ae5971e86347","resolution":{"observed_at":"2026-08-10T23:23:28.597527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:23:29.335690Z","title":"Scaling instruction-finetuned language models,","venue":null,"work_id":"c51dfb6c-a7ee-4ee6-a729-c722bbdfb53a","year":2024},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.628322Z"},"links":{"citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:af8a85caf03d19508bad8b84847adebd7699972b1f94438dc3ee8f211e1a409c","observation_id":"2a20f2a8-d2a0-4593-adc4-723c1b21b755","resolution":{"observed_at":"2026-08-10T23:23:29.345267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-10T23:23:28.680945Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T23:23:28.680945Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2412.20468"},"observation_digest":"sha256:80d9421ef96a1acd5c08a3e0bf91bcf4737d49b9f3bbcd77b99931c88b8738c5","observation_id":"03a1c937-2adc-45be-a919-fcddcd2288c6","resolution":{"observed_at":"2026-08-10T23:23:28.680945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.20468","last_updated":"2025-03-05T04:32:02Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-11T15:37:26.761571Z","submitted_at":"2024-12-29T14:00:11Z","title":"A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":1,"verified_fuzzy":16},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.20468."}