{"as_of":"2026-08-10T07:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b177bd34753e1ae4c40a04b2511849abdbb8cf2c2015d9b8cb9f164fd190a05","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T08:03:55.422807Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2601.18381/citation-record","integrity":"/paper/2601.18381/integrity","json":"/paper/2601.18381/citation-record.json","paper":"/paper/2601.18381"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T08:03:52.060532Z","title":"Langraph conditional workflow","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.060532Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:e513d4e29740174d514703a17b643a5b791eebcb05f91c3b4b3612661b76c92f","observation_id":"54d4d97d-2920-41ba-8734-feb31579d4f2","resolution":{"observed_at":"2026-08-03T08:03:52.060532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14423","last_updated":"2024-05-05T00:54:26Z","snapshot_observed_at":"2026-08-08T12:36:30.073772Z","submitted_at":"2024-01-24T06:20:18Z","title":"Prompt Design and Engineering: Introduction and Advanced Methods","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14423","snapshot_observed_at":"2026-08-03T08:03:52.107269Z","title":"Prompt design and engineering: Introduction and advanced methods.arXiv preprint arXiv:2401.14423, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.107269Z"},"links":{"cited_paper":"/paper/2401.14423","citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:e0f840676ef4039c5724c00092df9d61ec1a74e97bb7f8f96650e2e6c6583587","observation_id":"82080225-3285-403c-804f-040179c0974a","resolution":{"observed_at":"2026-08-03T08:03:52.107269Z","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":"2026-08-03T08:03:52.164582Z","title":"Software engineering for machine learning: a case study","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.164582Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:7122be434e9299d4097e93fdf16617b75ab3a9089950c1fc6e5a142a6a8a33ca","observation_id":"44b9bc82-cf71-4ea9-b3b5-f4879d836879","resolution":{"observed_at":"2026-08-03T08:03:52.164582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03492","last_updated":"2025-06-27T09:33:10Z","snapshot_observed_at":"2026-08-08T15:57:08.214263Z","submitted_at":"2024-10-04T15:04:28Z","title":"Towards Reproducible LLM Evaluation: Quantifying Uncertainty in LLM Benchmark Scores","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03492","snapshot_observed_at":"2026-08-03T08:03:52.276129Z","title":"Blackwell, Jon Barry, and Anthony G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.276129Z"},"links":{"cited_paper":"/paper/2410.03492","citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:30c224764056b7502ded4af0270fa1660442ecd547f0fa564c7034312fba1e76","observation_id":"74b179ef-447e-4276-a3e8-e63b291a653c","resolution":{"observed_at":"2026-08-03T08:03:52.276129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11847","last_updated":"2024-12-16T11:26:21Z","snapshot_observed_at":"2026-07-06T19:04:13.760549Z","submitted_at":"2024-08-12T15:19:59Z","title":"Prompto: An open source library for asynchronous querying of LLM endpoints","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11847","snapshot_observed_at":"2026-08-03T08:03:52.379688Z","title":"Williams, Edwin Brown, Liam Burke-Moore, Ed Chapman, Kate Onslow, Tvesha Sippy, Jonathan Bright, and Evelina Gabasova","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.379688Z"},"links":{"cited_paper":"/paper/2408.11847","citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:a4cf2bf0ef2e06d62dbf6d005de24cdea44a117dbf0bc13e3463ff2968a4f36c","observation_id":"5331f712-338f-4490-a028-f2478d3c9468","resolution":{"observed_at":"2026-08-03T08:03:52.379688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03216","last_updated":"2025-12-12T11:26:32Z","snapshot_observed_at":"2026-07-06T17:25:35.493362Z","submitted_at":"2024-02-05T17:26:49Z","title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03216","snapshot_observed_at":"2026-08-03T08:03:52.460979Z","title":"Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.460979Z"},"links":{"cited_paper":"/paper/2402.03216","citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:28e016be4868ae63c7bf3508bf85e6d481cb328f9ff956cc2732f2e157535f5b","observation_id":"e4d6f6d3-7c00-47b8-af99-77bc88046c11","resolution":{"observed_at":"2026-08-03T08:03:52.460979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-03T08:03:52.551058Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.551058Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:c254764506c77131d9801794b8208ef02b54ee0eefacdb4b332e21517db08337","observation_id":"7c7fcb3a-b928-4fa4-a1e6-5c988499aedd","resolution":{"observed_at":"2026-08-03T08:03:52.551058Z","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":"2026-08-03T08:03:52.635854Z","title":"Bruce Croft, Donald Metzler, and Trevor Strohman.Search Engines: Information Retrieval in Practice","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.635854Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:a805118289bd9ca4890231181f359c87175c05d3d4691769ad28521ce0b938b9","observation_id":"c98f56a5-2ca8-4c30-895b-0eed75d5a206","resolution":{"observed_at":"2026-08-03T08:03:52.635854Z","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":"2026-08-03T08:03:52.718272Z","title":"Bruce Croft, Donald Metzler, and Trevor Strohman.Search engines: information retrieval in practice","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.718272Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:fae53a7857d97124d618a582f8bcc2673e5ab0f3fcdc0e143169c05e207be21f","observation_id":"37cd7d8d-322f-4bd3-b998-65f617069aa1","resolution":{"observed_at":"2026-08-03T08:03:52.718272Z","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":"2026-08-03T08:03:52.805461Z","title":"Devito tutorials","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.805461Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:827413630a29b7cbec571903a37cda4dd2f85303335a12b922da21c798a5d2d9","observation_id":"472bdf0a-ea15-405d-9f38-a06fde3fbb44","resolution":{"observed_at":"2026-08-03T08:03:52.805461Z","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":"2026-08-03T08:03:52.814066Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.814066Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:f08f515e74ac520adfc8808f6aa56b06f6ce7c5296105114ca5de0d258e77b37","observation_id":"b24f69fc-e6e5-4de5-b89c-ef7659abc1bb","resolution":{"observed_at":"2026-08-03T08:03:52.814066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.07017","last_updated":"2024-12-09T21:53:10Z","snapshot_observed_at":"2026-08-10T05:44:18.507344Z","submitted_at":"2024-12-09T21:53:10Z","title":"Asynchronous LLM Function Calling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.07017","snapshot_observed_at":"2026-08-03T08:03:52.847227Z","title":"Asynchronous llm function calling.arXiv preprint arXiv:2412.07017, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:52.847227Z"},"links":{"cited_paper":"/paper/2412.07017","citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:3204c7b1cc2c56c200ec1452bc2f5fb36d4a7fd4cc4ee356243ea8de6bea7cd3","observation_id":"4554176c-194f-4aba-aa70-f59504e17e16","resolution":{"observed_at":"2026-08-03T08:03:52.847227Z","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":"2026-08-03T08:03:53.013096Z","title":"Large language models for code: security hardening and adversarial testing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.013096Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:ced96144cd2a918c6c7058b7c8e33e9afc4234f90fac5481edcd2b634d608d04","observation_id":"8342a7a2-4e25-4369-8df5-e42881052f8f","resolution":{"observed_at":"2026-08-03T08:03:53.013096Z","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":"2026-08-03T08:03:53.069914Z","title":"The prompt canvas: A literature- based practitioner guide for creating effective prompts in large language models.arXiv preprint arXiv:2412.05127, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.069914Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:4fa6b942e97929288edfeb7d43b4ba5d3d3224da2e1cf49983cbbbb1ce78422c","observation_id":"698af431-314f-44e1-ad8e-d30ba1ac3e54","resolution":{"observed_at":"2026-08-03T08:03:53.069914Z","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":"2026-08-03T08:03:53.192166Z","title":"Rag-anything: All-in-one multi- modal rag system","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.192166Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:1280e5282d79f4538246dd4ee4f72a02041d9da02c53c79fdeb242f8cc2c37a6","observation_id":"d769b168-67c9-4b35-bf73-19337ba90ea4","resolution":{"observed_at":"2026-08-03T08:03:53.192166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12507","last_updated":"2023-06-14T14:04:50Z","snapshot_observed_at":"2026-07-06T14:45:48.434072Z","submitted_at":"2023-01-29T18:21:05Z","title":"Distilling Internet-Scale Vision-Language Models into Embodied Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12507","snapshot_observed_at":"2026-08-03T08:03:53.333044Z","title":"Eval- uating large language models trained on code.arXiv preprint arXiv:2301.12507, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.333044Z"},"links":{"cited_paper":"/paper/2301.12507","citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:2757312f7d4d0077c608227f2d8ffafc879524684d766d1ba308cee80f56d371","observation_id":"37698a64-4a05-41d4-9797-30c5d08bbca3","resolution":{"observed_at":"2026-08-03T08:03:53.333044Z","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":"2026-08-03T08:03:53.450167Z","title":"Rag from scratch: Part 1 (overview)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.450167Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:983522e853d6500284fbb1061d2b41a3085ec5a15ad67c03a9f09c1d3baf4f9f","observation_id":"a8dc216a-20aa-4a40-aa7b-645ad6a181ce","resolution":{"observed_at":"2026-08-03T08:03:53.450167Z","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":"2026-08-03T08:03:53.562884Z","title":"Structured outputs","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.562884Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:fe53da468929900de03ff8efbfdc68fa091d37899a9c612ba9cd2ba747e4755a","observation_id":"eb72dad4-9e32-46b1-aedc-2ee5fdabb9d0","resolution":{"observed_at":"2026-08-03T08:03:53.562884Z","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":"2026-08-03T08:03:53.650025Z","title":"Langgraph graphs reference","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.650025Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:d95a4f0613879653023ffdd58abcbe84930c66289e387efcd3ca558b5fe72040","observation_id":"4d05029a-9e32-416a-b4a9-2014f4632f1a","resolution":{"observed_at":"2026-08-03T08:03:53.650025Z","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":"2026-08-03T08:03:53.795093Z","title":"we need structured output","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.795093Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:22fae84e3f54f8e1be8e649e00176861e9d47e815c190014888a91757a8ab2ef","observation_id":"cb0c8c42-4fb6-48ed-a7ef-f6998a595502","resolution":{"observed_at":"2026-08-03T08:03:53.795093Z","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":"2026-08-03T08:03:53.873990Z","title":"G-eval: Nlg evaluation using gpt-4 with better human alignment","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.873990Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:3204f96ef45d6bd26b5e57e1b881e1b95650579d303afb90df4dcf7adf12b383","observation_id":"eacc50fa-a29d-4874-adf5-9804a5b7b572","resolution":{"observed_at":"2026-08-03T08:03:53.873990Z","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":"2026-08-03T08:03:53.967253Z","title":"Witte, Felix J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.967253Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:d0d535170461117bd334326ee5efb621af3947406fddb13d165ec0eaba02438c","observation_id":"56b0b34b-1cd6-40d8-aa16-4e3708b91a2f","resolution":{"observed_at":"2026-08-03T08:03:53.967253Z","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":"2026-08-03T08:03:54.056272Z","title":"Witte, Jan H ¨uckelheim, Charles R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:54.056272Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:73ce3287404e4e5f589516d6cda9bf80d7ab8610693211e55d0dba98d1a7c71c","observation_id":"df97e5cc-8221-4d68-bc2e-c09ad973b361","resolution":{"observed_at":"2026-08-03T08:03:54.056272Z","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":"2026-08-03T08:03:54.181310Z","title":"Manning, Prabhakar Raghavan, and Hinrich Sch ¨utze","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:54.181310Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:3d6f6499d62d108d5abf4933fa6cb62ecf43c092a46f4a9975dbe24b0f585303","observation_id":"be78f8e9-c0de-4123-9f49-64c69750596a","resolution":{"observed_at":"2026-08-03T08:03:54.181310Z","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":"2026-08-03T08:03:54.291052Z","title":"Graphrag: Unlocking llm discovery on narrative private data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:54.291052Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:598f91d77ae16523a4e0cbe692aad5574d2d04bc8f34344309acecc5966a85e5","observation_id":"820024d3-e40b-4131-9fa6-f7c7df1f7a77","resolution":{"observed_at":"2026-08-03T08:03:54.291052Z","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":"2026-08-03T08:03:54.409004Z","title":"Mteb: Massive text embedding benchmark","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:54.409004Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:612495d1d5eb464775a81f4ac94a9e98bcf6007b69c90b274275c91ca453e235","observation_id":"bd315db3-ae86-4c80-810b-7f3e9539f48a","resolution":{"observed_at":"2026-08-03T08:03:54.409004Z","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":"2026-08-03T08:03:54.585038Z","title":"Doing rag on pdfs using file search in the responses api","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:54.585038Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:7b79127a87a4a5398a0fa289b6fea66240dc98d085dc9bac0d288432c51dbf08","observation_id":"aaffbba7-1db8-4398-a788-9748e48673c0","resolution":{"observed_at":"2026-08-03T08:03:54.585038Z","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":"2026-08-03T08:03:54.735752Z","title":"Offline evaluation for ranking models: precision and recall at k","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:54.735752Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:1001653162b39c7b15e29d12a22044f63f0f5b3b3e9b878ff78f0df00b3eec81","observation_id":"6f5d0c12-daff-4729-a233-2afb1ad0d92a","resolution":{"observed_at":"2026-08-03T08:03:54.735752Z","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":"2026-08-03T08:03:54.883854Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:54.883854Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:e98e7f3085f961b24efe8108e78729cc1704d6469292693da2b3578a415e79f3","observation_id":"ee44444b-a4d6-4313-932b-a1747820737a","resolution":{"observed_at":"2026-08-03T08:03:54.883854Z","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":"2026-08-03T08:03:55.040427Z","title":"O’Reilly Media, Sebastopol, CA, 2nd edition, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:55.040427Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:e381f0bfaaa7a3c9831103ad20b0f4d21ad05a808c6c5f10e5c8e73b15060d9f","observation_id":"09eaba72-34e7-4593-8249-53f72a79648a","resolution":{"observed_at":"2026-08-03T08:03:55.040427Z","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":"2026-08-03T08:03:55.184340Z","title":"The ruff formatter","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:55.184340Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:4b58a5d6f11d06a17678e38b753f73d888801ea3a15c1145f948487fa5075533","observation_id":"91b80648-3b45-4476-9e56-fd95afa1c62e","resolution":{"observed_at":"2026-08-03T08:03:55.184340Z","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":"2026-08-03T08:03:55.335790Z","title":"V oorhees","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:55.335790Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:d46c0b7f748266305f9a1b62b2a241c5a0d3e638213d3426221f237ce3e2e5e4","observation_id":"af419013-7b8a-4b71-a380-11c9078824be","resolution":{"observed_at":"2026-08-03T08:03:55.335790Z","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":"2026-08-03T08:03:55.422807Z","title":"Enhancing llm-based code translation in repository context via triple knowledge-augmented.arXiv preprint arXiv:2503.18305, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:55.422807Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:6aff0ac02d1fa23204b9b0d3e30b7b9e7685f5dc1fce46e6149eb3c69f9a4c5a","observation_id":"b2a34230-e3f3-4def-8b75-37290df6721a","resolution":{"observed_at":"2026-08-03T08:03:55.422807Z","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":"2026-08-03T08:03:53.725119Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T08:03:53.725119Z"},"links":{"citing_paper":"/paper/2601.18381"},"observation_digest":"sha256:c41aec90114b25e968e8330c0c2ed1f4bd606eb5bff08a9bf6be7cc84ff82699","observation_id":"ece5aef0-1d89-4216-8fdd-6a2cdbfa4214","resolution":{"observed_at":"2026-08-03T08:03:53.725119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.18381","last_updated":"2026-05-26T16:03:59Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T05:07:24.879941Z","submitted_at":"2026-01-26T11:31:00Z","title":"AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":34,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":34},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2601.18381."}