{"as_of":"2026-08-11T00:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d3e6c09a55684a9549779876aa631f2eda39c9df38679db025e9d728bf07df3","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:38:23.591793Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"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/2505.14394/citation-record","integrity":"/paper/2505.14394/integrity","json":"/paper/2505.14394/citation-record.json","paper":"/paper/2505.14394"},"outbound":[{"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":"2026-08-07T15:38:21.475416Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.475416Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:e62108e0d309f2231835268e3ccf6b64d40a2e3cf875c4cc2cac3e1c64fc0f9f","observation_id":"8c5366f1-7159-4060-9d14-3f7dc4490d97","resolution":{"observed_at":"2026-08-07T15:38:21.475416Z","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":"2026-08-07T15:38:21.559823Z","title":"Evaluating large language models trained on code,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.559823Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:ce3c20f8abb8c462ccbbfe39ba2b8bcbe3f39b7481d214faef363eb8d6863de1","observation_id":"ad199026-a2a4-4c88-adf4-9df9b53a3a8b","resolution":{"observed_at":"2026-08-07T15:38:21.559823Z","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":"2026-08-07T15:38:21.619043Z","title":"Application of large language models to software engi- neering tasks: Opportunities, risks, and implications,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.619043Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:098c5708b3c52bc60c0a13c28df545b9fed5fb5f8773e6be9caf2963c571bfdc","observation_id":"efb3e241-47a0-4a43-b629-4beebf4bb31f","resolution":{"observed_at":"2026-08-07T15:38:21.619043Z","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":"2026-08-07T15:38:21.710438Z","title":"What’s wrong with your code generated by large language models? an extensive study,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.710438Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:0187050c18990a54eb4a0973da513b3204b89b3d497fe451d3a17669a3e56c43","observation_id":"ae74c231-222e-4015-bd01-6e02b486e6f4","resolution":{"observed_at":"2026-08-07T15:38:21.710438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10620","last_updated":"2024-04-10T08:41:22Z","snapshot_observed_at":"2026-07-06T16:08:29.285279Z","submitted_at":"2023-08-21T10:37:49Z","title":"Large Language Models for Software Engineering: A Systematic Literature Review","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10620","snapshot_observed_at":"2026-08-07T15:38:21.776451Z","title":"Large language models for software engineering: A systematic literature review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.776451Z"},"links":{"cited_paper":"/paper/2308.10620","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:358002c8dce8c314f4ac5cdd7a348e7b0dbb2696338e908fb40a9bcf63931a29","observation_id":"ca58a551-d335-44ba-9eb6-312449d84261","resolution":{"observed_at":"2026-08-07T15:38:21.776451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00456","last_updated":"2025-06-21T17:44:03Z","snapshot_observed_at":"2026-07-06T18:38:54.776114Z","submitted_at":"2024-06-29T14:56:11Z","title":"Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00456","snapshot_observed_at":"2026-08-07T15:38:21.847142Z","title":"Beyond functional correctness: Investigating coding style inconsistencies in large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.847142Z"},"links":{"cited_paper":"/paper/2407.00456","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:d0ea3381bd859c058b3e488d061f2b151f53e171196e3eb3efcabef1fd0a4146","observation_id":"aeffe47a-4992-45c4-8f73-daca83d2fae4","resolution":{"observed_at":"2026-08-07T15:38:21.847142Z","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":"2026-08-07T15:38:26.416729Z","title":"Code search: A survey of techniques for finding code,","venue":null,"work_id":"f14a0af4-3058-4a23-a23d-3ac83a735e48","year":null},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.906996Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:1b2003d41455a5bbaa44230ed0b3c9edba851adc60701ed2052ff63e47e4953a","observation_id":"50465002-4c1b-4d02-b1ee-2bc351c0711b","resolution":{"observed_at":"2026-08-07T15:38:26.563227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07530","last_updated":"2024-05-13T07:56:15Z","snapshot_observed_at":"2026-08-09T18:51:47.242584Z","submitted_at":"2024-05-13T07:56:15Z","title":"Prompt-based Code Completion via Multi-Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":"2405.07530","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.07530","snapshot_observed_at":"2026-08-07T15:38:24.082190Z","title":"Prompt-based Code Completion via Multi-Retrieval Augmented Generation","venue":"cs.SE","work_id":"19d86a6e-aa83-4c8d-b4ef-c7f86e0bb378","year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.080084Z"},"links":{"cited_paper":"/paper/2405.07530","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:32715f2e9b92e1e1c8c1937a35e1d4b96f1b8f9be9b7156099f24324d9394dff","observation_id":"524e7b85-86a3-4cb9-9850-50a93a38c635","resolution":{"observed_at":"2026-08-07T15:38:24.300823Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:38:26.158189Z","title":"Retrieval-augmented generation for knowledge- intensive nlp tasks,","venue":null,"work_id":"44a2ab4e-b88b-4df7-9a3e-5dd31445ba0e","year":2020},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.151935Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:226e8858b94374098eba3180ec58a35421e53851da795b4daf8d029a424ca2d5","observation_id":"0a303fd5-e809-497a-a688-ab84e2cdfd77","resolution":{"observed_at":"2026-08-07T15:38:26.306974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05804","last_updated":"2024-11-30T22:38:57Z","snapshot_observed_at":"2026-07-06T18:27:45.631190Z","submitted_at":"2024-06-09T14:42:55Z","title":"A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05804","snapshot_observed_at":"2026-08-07T15:38:22.275154Z","title":"A review of prominent paradigms for llm-based agents: Tool use (including rag), planning, and feedback learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.275154Z"},"links":{"cited_paper":"/paper/2406.05804","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:096f7eaaa0e51fca484376f1f4f8f1f4576a3f20437461f191c155eddd8556b7","observation_id":"4ebf37ab-291d-4158-90b7-87dee2ce0577","resolution":{"observed_at":"2026-08-07T15:38:22.275154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11912","last_updated":"2024-07-14T09:14:30Z","snapshot_observed_at":"2026-07-06T18:32:28.184208Z","submitted_at":"2024-06-16T17:57:48Z","title":"AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11912","snapshot_observed_at":"2026-08-07T15:38:22.345715Z","title":"Agilecoder: Dynamic collaborative agents for software development based on agile methodology,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.345715Z"},"links":{"cited_paper":"/paper/2406.11912","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:80cc747b18dc591dd7ecf59eab464c0665b9a0b567536e6c837da30a7be9b225","observation_id":"ede798d7-1b42-4abb-b09c-7e37e86f70bb","resolution":{"observed_at":"2026-08-07T15:38:22.345715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00599","last_updated":"2024-03-31T08:10:50Z","snapshot_observed_at":"2026-08-08T13:09:21.316120Z","submitted_at":"2024-03-31T08:10:50Z","title":"EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00599","snapshot_observed_at":"2026-08-07T15:38:22.440544Z","title":"Evocodebench: An evolving code generation benchmark aligned with real-world code repositories,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.440544Z"},"links":{"cited_paper":"/paper/2404.00599","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:00fd025d9051b61e87aa6f66628ee4c4a215c21e7ab3d1b9fa2ea4478fa0a2a8","observation_id":"ed1ee5f2-195f-4c3d-8742-6d6e02032d21","resolution":{"observed_at":"2026-08-07T15:38:22.440544Z","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":"2026-08-07T15:38:25.735487Z","title":"Finetuned language models are zero-shot learners,","venue":null,"work_id":"4a6925a3-00e4-4085-a819-a2e769645b71","year":2022},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.527692Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:0b9de120dd6185c59ca1ae92c688fbfb1b83bc37b315aa732b5fd4d7ea2340f0","observation_id":"88a188fe-c320-459b-ae17-9ec3f22e452b","resolution":{"observed_at":"2026-08-07T15:38:25.853043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.11416","last_updated":"2022-12-06T21:39:48Z","snapshot_observed_at":"2026-07-06T14:08:18.855958Z","submitted_at":"2022-10-20T16:58:32Z","title":"Scaling Instruction-Finetuned Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.11416","snapshot_observed_at":"2026-08-07T15:38:22.619141Z","title":"Scaling instruction-finetuned language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.619141Z"},"links":{"cited_paper":"/paper/2210.11416","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:2863ca7b3f04422ed67f86ef03bec8de221870a3079a11e6031f2bf26a77e8d4","observation_id":"e6b88914-543b-4c3b-8b26-dc6a6b454b15","resolution":{"observed_at":"2026-08-07T15:38:22.619141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00515","last_updated":"2024-11-10T22:02:27Z","snapshot_observed_at":"2026-07-29T20:40:25.374189Z","submitted_at":"2024-06-01T17:48:15Z","title":"A Survey on Large Language Models for Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00515","snapshot_observed_at":"2026-08-07T15:38:22.714465Z","title":"A survey on large language models for code generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.714465Z"},"links":{"cited_paper":"/paper/2406.00515","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:1ce4312c67502a89eb02fc8077a6662996eb2c6c4dc0bdf11d6cc118962008e7","observation_id":"ea449cef-f4fc-4b2d-8810-5cc2bbfbdcbe","resolution":{"observed_at":"2026-08-07T15:38:22.714465Z","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":"2026-08-07T15:38:22.790353Z","title":"Enhancing repository-level code generation with integrated contextual information,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.790353Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:c52b5bccaddd33a5f3f2dc4f45145cc104d0f8b348bd211421286b2819ce239b","observation_id":"a285d2bc-73d8-4d70-befe-e1f3a1e89606","resolution":{"observed_at":"2026-08-07T15:38:22.790353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12570","last_updated":"2023-10-20T15:21:51Z","snapshot_observed_at":"2026-08-10T17:02:45.694791Z","submitted_at":"2023-03-22T13:54:46Z","title":"RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12570","snapshot_observed_at":"2026-08-07T15:38:22.868320Z","title":"Repocoder: Repository-level code completion through iterative retrieval and generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.868320Z"},"links":{"cited_paper":"/paper/2303.12570","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:10d90e599ff03f055ede5c4f255197c28d147f65800b04fcb6fb0d873bf73e62","observation_id":"ca0dca11-9a73-4f23-8b1b-b28ac5b45e04","resolution":{"observed_at":"2026-08-07T15:38:22.868320Z","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":"2026-08-07T15:38:25.439122Z","title":"Repofusion: Training code models to understand your repository,","venue":null,"work_id":"dcd4b1a8-71d6-4d66-9a4d-6b61c3ef2563","year":null},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.955019Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:9753a544d11c30c09b3c7e87d0cf143c264430ebbcb07a6924e2fbfe1e4dcbff","observation_id":"79ddfd6a-ad5e-46e6-8618-190cbc0719e2","resolution":{"observed_at":"2026-08-07T15:38:25.600692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:38:25.230679Z","title":"Leveraging passage retrieval with generative models for open domain question answering,","venue":null,"work_id":"b8fb6b9e-2a7a-49f5-a9d5-1f974a796d3a","year":2021},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.096110Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:4a13e8e9b8f801d1a40fe3df73118b5bc350779849bb23c0887ca92be20fb240","observation_id":"40b9232c-86e7-42a2-94b7-13e08ad8672f","resolution":{"observed_at":"2026-08-07T15:38:25.315036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:38:24.956560Z","title":"A probabilistic model of information retrieval: development and comparative experiments - part 1,","venue":null,"work_id":"2e7e7202-dc30-4c28-b754-547e20c1c433","year":2000},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.146214Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:68405a5e6610f2b59fa3609c955a91dffeb84e08fc5ffb5bddf75671af0137db","observation_id":"ceb2debb-9b2d-45f9-9cbc-23fc24f48f61","resolution":{"observed_at":"2026-08-07T15:38:25.116857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10998","last_updated":"2023-06-19T15:05:31Z","snapshot_observed_at":"2026-08-06T23:08:03.154966Z","submitted_at":"2023-06-19T15:05:31Z","title":"RepoFusion: Training Code Models to Understand Your Repository","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10998","snapshot_observed_at":"2026-08-07T15:38:23.033057Z","title":"Available: https://arxiv.org/abs/2306.10998","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.033057Z"},"links":{"cited_paper":"/paper/2306.10998","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:0f8e20cc55c682127e786f7bbd9815b3921f5d0b04f06139e3322df300d289cd","observation_id":"2874b730-b5fd-44ee-88eb-e4d9256703fa","resolution":{"observed_at":"2026-08-07T15:38:23.033057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07864","last_updated":"2023-09-19T08:29:18Z","snapshot_observed_at":"2026-08-09T18:54:02.679174Z","submitted_at":"2023-09-14T17:12:03Z","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07864","snapshot_observed_at":"2026-08-07T15:38:23.246714Z","title":"The rise and potential of large language model based agents: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.246714Z"},"links":{"cited_paper":"/paper/2309.07864","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:91e294b07fa7c24b36b09dbb75136f467a460f69e9cae5ee7af0f49c4ad3d54f","observation_id":"3f272338-f249-4e81-91fe-387763a523e8","resolution":{"observed_at":"2026-08-07T15:38:23.246714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01680","last_updated":"2024-04-19T01:15:16Z","snapshot_observed_at":"2026-08-10T13:10:07.804621Z","submitted_at":"2024-01-21T23:36:14Z","title":"Large Language Model based Multi-Agents: A Survey of Progress and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01680","snapshot_observed_at":"2026-08-07T15:38:23.292331Z","title":"Large language model based multi-agents: A survey of progress and challenges,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.292331Z"},"links":{"cited_paper":"/paper/2402.01680","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:b2536607d0871ee0f95fefddd29aca876759de90316ecbdf54cb3f45755f8464","observation_id":"c198f8d5-1d88-4d48-ba45-3a4afb526e73","resolution":{"observed_at":"2026-08-07T15:38:23.292331Z","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":"2026-08-07T15:38:24.639505Z","title":"Coderag-bench: Can retrieval augment code generation?","venue":null,"work_id":"54e37d74-2d7e-4aa8-a386-0f77eba0ffd3","year":null},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.150983Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:cd253dc214a4a3417e0fa48795e32aec552eedeae80acc114663bda9fa327bd6","observation_id":"a3997ce7-2d58-4735-adba-1d1ecaf09d4f","resolution":{"observed_at":"2026-08-07T15:38:24.772543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07003","last_updated":"2024-09-13T07:19:16Z","snapshot_observed_at":"2026-08-09T18:51:22.464423Z","submitted_at":"2024-06-11T06:55:32Z","title":"GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07003","snapshot_observed_at":"2026-08-07T15:38:23.431071Z","title":"Graphcoder: Enhancing repository-level code completion via code context graph-based retrieval and language model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.431071Z"},"links":{"cited_paper":"/paper/2406.07003","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:1b9138bd4009ca95aec9c7acb6bc5c8372f22eda062a0347792f6c6605cdc38e","observation_id":"c8208d94-32f8-43ee-9098-f9bb180a4d7a","resolution":{"observed_at":"2026-08-07T15:38:23.431071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03910","last_updated":"2026-07-27T07:02:11Z","snapshot_observed_at":"2026-07-30T23:54:20.589091Z","submitted_at":"2024-08-07T17:13:59Z","title":"CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03910","snapshot_observed_at":"2026-08-07T15:38:23.509141Z","title":"Codexgraph: Bridging large language models and code repositories via code graph databases,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.509141Z"},"links":{"cited_paper":"/paper/2408.03910","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:86d750b143e939349b37bf4b0c570a33d5b397115ec78ac17935dc60257564c2","observation_id":"cbfb7cf4-e803-4650-acfb-6a3262584d67","resolution":{"observed_at":"2026-08-07T15:38:23.509141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10957","last_updated":"2020-04-06T02:53:18Z","snapshot_observed_at":"2026-08-10T12:28:10.970434Z","submitted_at":"2020-02-25T15:21:10Z","title":"MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10957","snapshot_observed_at":"2026-08-07T15:38:23.591793Z","title":"Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.591793Z"},"links":{"cited_paper":"/paper/2002.10957","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:d190d70f670690fdae38cedc73c1129e613e5399f96adb53456bec633120ec02","observation_id":"a02e0058-b49c-404f-a619-284ee3eedc35","resolution":{"observed_at":"2026-08-07T15:38:23.591793Z","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":"2026-08-07T15:38:23.385219Z","title":"Agentcoder: Multi-agent-based code generation with iterative testing and optimisation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.385219Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:0c2a9b86da391ece61e1609128199c0d87a49007019d3a46a3d132f733ad0c34","observation_id":"f41d90b3-7bfd-49d9-8788-06ca6ddfecd2","resolution":{"observed_at":"2026-08-07T15:38:23.385219Z","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":"2026-08-07T15:38:21.988437Z","title":"Available: http://dx.doi.org/10.1145/3565971","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:21.988437Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:61a2b929687738baec3468458c752d64ed492be6e91f522df50488e56cace4f3","observation_id":"849b1610-402d-4cf9-a664-a2b9fb6d8a49","resolution":{"observed_at":"2026-08-07T15:38:21.988437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14497","last_updated":"2025-02-26T22:10:36Z","snapshot_observed_at":"2026-07-06T18:34:24.078145Z","submitted_at":"2024-06-20T16:59:52Z","title":"CodeRAG-Bench: Can Retrieval Augment Code Generation?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14497","snapshot_observed_at":"2026-08-07T15:38:23.177678Z","title":"Available: https://arxiv.org/abs/2406.14497","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:23.177678Z"},"links":{"cited_paper":"/paper/2406.14497","citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:0257040496e0a29c916081d1b4ca581f2c70123aeac35c88a36688765d244d12","observation_id":"9cc47e1f-6995-4063-a709-95aac2f2d366","resolution":{"observed_at":"2026-08-07T15:38:23.177678Z","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":"2026-08-07T15:38:25.944895Z","title":"Available: https://proceedings.neurips.cc/paper files/ paper/2020/file/6b493230205f780e1bc26945df7481e5-Paper.pdf","venue":null,"work_id":"2cfb5125-1b19-453f-8ced-103cd0877a12","year":2020},"citing_paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation","version":1},"reference_index":9474,"source":"pdf_text","source_observed_at":"2026-08-07T15:38:22.218806Z"},"links":{"citing_paper":"/paper/2505.14394"},"observation_digest":"sha256:a29acd89fd533dfaa4014d22ada492c34920cf2ba73ff4a384ab9795c63f3ebd","observation_id":"4e43670a-d8c9-490b-8fd4-77f17d8910f1","resolution":{"observed_at":"2026-08-07T15:38:26.030769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.14394","last_updated":"2025-05-20T14:13:59Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T18:52:00.410283Z","submitted_at":"2025-05-20T14:13:59Z","title":"Knowledge Graph Based Repository-Level Code Generation"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":1,"verified_fuzzy":8},"total_outbound_references":31},"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 11 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.14394."}