{"as_of":"2026-08-07T22:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:da838154653604c4b6907b3cd75211bf6721d32711cdf457fbf726ba789212ba","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T13:16:49.309536Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2507.20888/citation-record","integrity":"/paper/2507.20888/integrity","json":"/paper/2507.20888/citation-record.json","paper":"/paper/2507.20888"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.13474","last_updated":"2023-02-27T21:26:48Z","snapshot_observed_at":"2026-07-06T12:52:16.992962Z","submitted_at":"2022-03-25T06:55:15Z","title":"CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.13474","snapshot_observed_at":"2026-08-06T13:16:49.102367Z","title":"Codegen: An open large language model for code with multi-turn program synthesis,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.102367Z"},"links":{"cited_paper":"/paper/2203.13474","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:f7c527b1051c45300762756e72c0941e170a1b4f7296a2c909e12065917660c7","observation_id":"9ed57dd6-99da-4893-bac6-4e5aecebc2cb","resolution":{"observed_at":"2026-08-06T13:16:49.102367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06161","last_updated":"2023-12-13T14:44:10Z","snapshot_observed_at":"2026-07-06T15:25:35.930688Z","submitted_at":"2023-05-09T08:16:42Z","title":"StarCoder: may the source be with you!","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06161","snapshot_observed_at":"2026-08-06T13:16:49.107723Z","title":"Starcoder: may the source be with you!","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.107723Z"},"links":{"cited_paper":"/paper/2305.06161","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:833ec730d6ef7c8b7edfce64b4230b0b285313cc6adcd0d21e9973c7caa80b4d","observation_id":"4d53d62c-0e5b-4af0-97e5-2fde2996f35c","resolution":{"observed_at":"2026-08-06T13:16:49.107723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19173","last_updated":"2024-02-29T13:53:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-29T13:53:35Z","title":"StarCoder 2 and The Stack v2: The Next Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19173","snapshot_observed_at":"2026-08-06T13:16:49.114301Z","title":"Starcoder 2 and the stack v2: The next generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.114301Z"},"links":{"cited_paper":"/paper/2402.19173","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:0d283f6796726c42ccf858fe29105662f80fbcf3bef8047e9f8825c98cb611b3","observation_id":"a0a85d22-729c-4104-81c6-deec930997df","resolution":{"observed_at":"2026-08-06T13:16:49.114301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14196","last_updated":"2024-01-26T09:23:11Z","snapshot_observed_at":"2026-08-06T22:40:28.707813Z","submitted_at":"2024-01-25T14:17:53Z","title":"DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14196","snapshot_observed_at":"2026-08-06T13:16:49.119185Z","title":"Deepseek-coder: When the large language model meets programming–the rise of code intelligence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.119185Z"},"links":{"cited_paper":"/paper/2401.14196","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:98c5c22f8920dbcec8abdb35bb02108157e4befc79422eee9b7ed17a4a985520","observation_id":"c0fe4777-1f7b-465c-883b-d69abd298b35","resolution":{"observed_at":"2026-08-06T13:16:49.119185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17568","last_updated":"2024-07-10T03:52:58Z","snapshot_observed_at":"2026-07-06T15:10:12.213443Z","submitted_at":"2023-03-30T17:34:01Z","title":"CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17568","snapshot_observed_at":"2026-08-06T13:16:49.123952Z","title":"Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.123952Z"},"links":{"cited_paper":"/paper/2303.17568","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:57de95123f4d48434f259b86e3215c67f720e9d4ee0ded18480fae55186b0c87","observation_id":"24f2632e-afde-4644-8b01-1bd1ab66a51b","resolution":{"observed_at":"2026-08-06T13:16:49.123952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08568","last_updated":"2025-05-27T07:40:36Z","snapshot_observed_at":"2026-08-04T15:08:40.203853Z","submitted_at":"2023-06-14T15:18:48Z","title":"WizardCoder: Empowering Code Large Language Models with Evol-Instruct","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.08568","snapshot_observed_at":"2026-08-06T13:16:49.128730Z","title":"Wizardcoder: Empowering code large lan- guage models with evol-instruct,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.128730Z"},"links":{"cited_paper":"/paper/2306.08568","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:167109a75764fe6fa2c3cb1fbbc2c86776db1087eabf0ce71b945d6d3e3d27fd","observation_id":"2fb68d8d-c617-4bbc-9bf2-2f50dfe985b7","resolution":{"observed_at":"2026-08-06T13:16:49.128730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-07-06T16:10:07.931347Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-06T13:16:49.133909Z","title":"Code llama: Open foundation models for code,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.133909Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:8555902545aff6efaba2122b35118bf81b99425dc45c695b13335e687e9b76ce","observation_id":"16d3dad9-90ae-4be7-bd7d-682ef0968b74","resolution":{"observed_at":"2026-08-06T13:16:49.133909Z","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":"2026-08-06T13:16:50.095420Z","title":"Github copilot,","venue":null,"work_id":"49e079d4-ea86-4d95-a76a-a2c0bd0086fb","year":2022},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.138673Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:4d4b569f3e99b66492217977c141457dfee520c6621b6229adbd54f39200f0d0","observation_id":"dae92d55-c6b4-434e-bf8c-b69e9a7ef32f","resolution":{"observed_at":"2026-08-06T13:16:50.099621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:50.081104Z","title":"Amazon codewhisperer,","venue":null,"work_id":"f12b3c8f-9050-45de-bc92-1c57e8e34213","year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.142970Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:98a68aefa130d8be847d4aa1e453f0abe0bde77f5263b3e21d9d4fd49f1605a9","observation_id":"2ad9f4a8-8920-4460-aac1-48830d524fb3","resolution":{"observed_at":"2026-08-06T13:16:50.085394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:50.066596Z","title":"Learning to mine aligned code and natural language pairs from stack over- flow,","venue":null,"work_id":"52666ce8-1592-48d4-9b8f-8cdf32638881","year":2018},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.147528Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:ffffba9328ca3d397abbead67076a6c13fe7b0d219f4cb485dbbc92091814122","observation_id":"cb178660-d08d-4930-9963-dc6f894ee156","resolution":{"observed_at":"2026-08-06T13:16:50.070949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-06T13:16:49.152215Z","title":"Eval- uating large language models trained on code,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.152215Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:8d043630dfc1ce31a9e33177825a5cca5a748c59829e122cf0a78f424c87e231","observation_id":"e2983b58-f324-4574-baf6-1b7db353897d","resolution":{"observed_at":"2026-08-06T13:16:49.152215Z","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":"2026-07-06T15:06:41.938212Z","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":"2026-08-06T13:16:49.156562Z","title":"Repocoder: Repository-level code com- pletion through iterative retrieval and generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.156562Z"},"links":{"cited_paper":"/paper/2303.12570","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:e64634f6b442da15d7759465fc1f054db69654376d934d1c20b42652d572bb29","observation_id":"b90e4729-9ecf-446e-a012-e3ff750d84b3","resolution":{"observed_at":"2026-08-06T13:16:49.156562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10007","last_updated":"2023-05-24T06:56:45Z","snapshot_observed_at":"2026-08-02T14:26:12.875801Z","submitted_at":"2022-12-20T05:48:09Z","title":"CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10007","snapshot_observed_at":"2026-08-06T13:16:49.161005Z","title":"Cocomic: Code completion by jointly modeling in-file and cross-file context,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.161005Z"},"links":{"cited_paper":"/paper/2212.10007","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:09cb0979bd1468325a31ec328b4d8c61bfd92c0d82b240c1a99645b230402211","observation_id":"c0e7cd9c-feb9-4dbf-9ec1-c448b91a291b","resolution":{"observed_at":"2026-08-06T13:16:49.161005Z","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":"2026-08-06T13:16:50.049919Z","title":"Repository-level prompt generation for large language models of code,","venue":null,"work_id":"1b162610-2d4e-4fd3-b637-2c72805a3a67","year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.165505Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:afcae6c5200896b5c804f57113aa87408891392e77ff75b6de7e27273e3b6434","observation_id":"8e5fad92-5f1f-4a9e-80df-5553c4106f13","resolution":{"observed_at":"2026-08-06T13:16:50.055471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.07722","last_updated":"2022-03-15T08:25:08Z","snapshot_observed_at":"2026-08-05T13:54:00.669710Z","submitted_at":"2022-03-15T08:25:08Z","title":"ReACC: A Retrieval-Augmented Code Completion Framework","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.07722","snapshot_observed_at":"2026-08-06T13:16:49.169418Z","title":"Reacc: A retrieval-augmented code completion frame- work,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.169418Z"},"links":{"cited_paper":"/paper/2203.07722","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:2cf217152cf3b6cd8bcab3d67f1603a1dd576ed7289bbab2b166c19b2e1e201c","observation_id":"95c020a7-c73b-4852-90fb-43a3ef9f8b9d","resolution":{"observed_at":"2026-08-06T13:16:49.169418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T13:16:49.174036Z","title":"Repofusion: Training code models to understand your repository,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.174036Z"},"links":{"cited_paper":"/paper/2306.10998","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:102fbd62e0f60ae23c621603412734551263b34037280723fc2e5b77d05539c5","observation_id":"4e7becb7-381f-4bf0-b316-81a62aafbf67","resolution":{"observed_at":"2026-08-06T13:16:49.174036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14323","last_updated":"2024-02-23T02:53:20Z","snapshot_observed_at":"2026-07-06T17:33:50.525062Z","submitted_at":"2024-02-22T06:34:50Z","title":"REPOFUSE: Repository-Level Code Completion with Fused Dual Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14323","snapshot_observed_at":"2026-08-06T13:16:49.178719Z","title":"Repofuse: Repository-level code completion with fused dual context,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.178719Z"},"links":{"cited_paper":"/paper/2402.14323","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:855e78a73b3a46d4662183dac03fc9af7b28ce3ba24e76dec88a263fe900a51d","observation_id":"4d99eb88-d01a-4445-b6a3-47783e809aea","resolution":{"observed_at":"2026-08-06T13:16:49.178719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06095","last_updated":"2024-08-14T16:15:31Z","snapshot_observed_at":"2026-07-06T17:42:08.056523Z","submitted_at":"2024-03-10T05:10:34Z","title":"RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06095","snapshot_observed_at":"2026-08-06T13:16:49.182947Z","title":"Repohyper: Better context retrieval is all you need for repository-level code completion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.182947Z"},"links":{"cited_paper":"/paper/2403.06095","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:81a23340b03ef715cdf2aa2986593634145aaf9523099fb9f5e7f31b105caa64","observation_id":"56e68413-64f5-485f-b82b-a7dfa099dda9","resolution":{"observed_at":"2026-08-06T13:16:49.182947Z","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":"2026-08-06T13:16:50.034388Z","title":"Retrieval- augmented generation for knowledge-intensive nlp tasks,","venue":null,"work_id":"991a1969-bc68-4d3d-89fa-bb53a1dae3d7","year":2020},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.187720Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:cf177091c5ccaf02e0104700278339f4aa01dfc86929a9be4eceb0fbfd1e95f9","observation_id":"c4365aa1-cbbc-41f5-afd0-2713117939fa","resolution":{"observed_at":"2026-08-06T13:16:50.038601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08704","last_updated":"2025-01-08T11:07:42Z","snapshot_observed_at":"2026-07-06T18:14:16.386835Z","submitted_at":"2024-05-14T15:42:55Z","title":"Full Line Code Completion: Bringing AI to Desktop","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.08704","snapshot_observed_at":"2026-08-06T13:16:49.191858Z","title":"Full line code completion: Bringing ai to desktop,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.191858Z"},"links":{"cited_paper":"/paper/2405.08704","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:443f20eb8c4c48ab1896608eb993c01f5d608b4d96e9ec034f9da4264521ad81","observation_id":"4d6b1cbb-61f7-4bc8-af68-35c22b9b8b66","resolution":{"observed_at":"2026-08-06T13:16:49.191858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03091","last_updated":"2023-10-04T01:13:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-05T17:59:41Z","title":"RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.03091","snapshot_observed_at":"2026-08-06T13:16:49.196109Z","title":"Repobench: Benchmarking repository-level code auto-completion systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.196109Z"},"links":{"cited_paper":"/paper/2306.03091","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:7d73bec38462e57fdb080d504d0b6d0f8737887349c7b7aac1d63f84fc53aa66","observation_id":"ee55ac4e-4feb-4f48-a9ee-73c2746dc73c","resolution":{"observed_at":"2026-08-06T13:16:49.196109Z","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":"2026-08-06T13:16:50.019613Z","title":"Crosscodeeval: A diverse and multilingual benchmark for cross-file code comple- tion,","venue":null,"work_id":"13679c3c-b680-4186-97c8-f7dda294815c","year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.200695Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:5f9e4b8c6fb45335af570b03c754013e3980c8bd01ed89ad0dfef7674dc5b4eb","observation_id":"9c51ad16-c485-437d-8a27-fdafb17b6a78","resolution":{"observed_at":"2026-08-06T13:16:50.024164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:50.005028Z","title":"Codereval: A benchmark of pragmatic code generation with generative pre-trained models,","venue":null,"work_id":"cda25753-ff4b-4474-a790-bf54a5783b87","year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.205143Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:56a2b17d55ace66af88c88355209defd15f3d00ebe9a2313b548a6d8033c56b2","observation_id":"37eb8ede-9cf9-4fd5-8293-64813f2c0eb3","resolution":{"observed_at":"2026-08-06T13:16:50.009381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06401","last_updated":"2024-03-06T02:16:51Z","snapshot_observed_at":"2026-07-06T17:14:41.030939Z","submitted_at":"2024-01-12T06:51:30Z","title":"DevEval: Evaluating Code Generation in Practical Software Projects","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06401","snapshot_observed_at":"2026-08-06T13:16:49.209224Z","title":"Deveval: Evaluating code generation in practical software projects,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.209224Z"},"links":{"cited_paper":"/paper/2401.06401","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:e7d5ca8be31b69075de837f6e971fde61227a36cff3aa6a3e816af0843913098","observation_id":"4d68c9c6-cbe2-4fe7-81cd-e9912d76cd0a","resolution":{"observed_at":"2026-08-06T13:16:49.209224Z","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":"2026-08-06T13:16:49.990967Z","title":"Learning to break the loop: Analyzing and mitigating repetitions for neural text generation,","venue":null,"work_id":"13e97f7f-1082-4c77-929c-aa0c0402fd1e","year":2022},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.213432Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:881d18189c6305ae17b8cc1d89dc3f6ecca13a45a246b9e45cc41c179d1ce9b5","observation_id":"2add2cb0-190e-40ec-b4cf-fc844c6f7fd8","resolution":{"observed_at":"2026-08-06T13:16:49.995799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.975462Z","title":"Treesitter: An incremental parsing system for programming tools,","venue":null,"work_id":"f11349ac-faeb-4c4f-adf1-08d4f62aac7a","year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.217737Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:5bf77ccd3f58d0adb35854c33a99a6f3525a94994956a7ffd873784cdb80534e","observation_id":"e4410332-9221-47f4-9375-b8021d554c72","resolution":{"observed_at":"2026-08-06T13:16:49.979979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.959787Z","title":"Pep 8 – style guide for python code,","venue":null,"work_id":"385c0ade-df58-4503-bb68-e6b9c2493d53","year":2013},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.222705Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:b37e2096b34f6814d33c0b7be31e1312a0e6ef1fe93c57ed64a7a1f74497032b","observation_id":"dc1cdc99-2e04-4b84-9934-38e54b4c08b1","resolution":{"observed_at":"2026-08-06T13:16:49.964664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.939813Z","title":"The appendix of the paper,","venue":null,"work_id":"8026d7bf-a3a6-4e6a-92ca-13b89238e619","year":2025},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.226704Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:aaa0a6d2c2b6dbfcbaa40375db13165a8bd0d7d210fd6129e7a358f412f53e88","observation_id":"f38d65c1-c228-44d3-942a-56fec5d40460","resolution":{"observed_at":"2026-08-06T13:16:49.944125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.03850","last_updated":"2022-03-08T04:48:07Z","snapshot_observed_at":"2026-08-02T05:58:04.510079Z","submitted_at":"2022-03-08T04:48:07Z","title":"UniXcoder: Unified Cross-Modal Pre-training for Code Representation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.03850","snapshot_observed_at":"2026-08-06T13:16:49.230739Z","title":"Unixcoder: Unified cross-modal pre-training for code representation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.230739Z"},"links":{"cited_paper":"/paper/2203.03850","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:3777754f05d153643fa8f548af4e066b362bdd7a8d0564d12daa2a16abe7b449","observation_id":"faee36c5-8005-4231-b111-0a9708206eef","resolution":{"observed_at":"2026-08-06T13:16:49.230739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00234","last_updated":"2024-10-05T11:47:02Z","snapshot_observed_at":"2026-07-06T14:36:25.690733Z","submitted_at":"2022-12-31T15:57:09Z","title":"A Survey on In-context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00234","snapshot_observed_at":"2026-08-06T13:16:49.235361Z","title":"A survey on in-context learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.235361Z"},"links":{"cited_paper":"/paper/2301.00234","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:67d7997c4211748a956574cb96ab74e6522874ba1baeb48fde47b9824cc70460","observation_id":"4a6439aa-598f-4cbe-b3c8-8059f690d2de","resolution":{"observed_at":"2026-08-06T13:16:49.235361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15916","last_updated":"2023-10-24T15:17:14Z","snapshot_observed_at":"2026-08-07T03:42:41.198792Z","submitted_at":"2023-10-24T15:17:14Z","title":"In-Context Learning Creates Task Vectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15916","snapshot_observed_at":"2026-08-06T13:16:49.239910Z","title":"In-context learning cre- ates task vectors,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.239910Z"},"links":{"cited_paper":"/paper/2310.15916","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:aac5b425c6b1dfc8e406cdc884fb93f54df207639e485a4b7ed4a7cd9a3eaf10","observation_id":"0ddf8fdb-6b0e-467e-b964-7f68a790e3c8","resolution":{"observed_at":"2026-08-06T13:16:49.239910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.08780","last_updated":"2021-09-17T23:11:57Z","snapshot_observed_at":"2026-07-06T11:48:52.330589Z","submitted_at":"2021-09-17T23:11:57Z","title":"Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.08780","snapshot_observed_at":"2026-08-06T13:16:49.244478Z","title":"Long-range modeling of source code files with ewash: Extended window access by syntax hierarchy,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.244478Z"},"links":{"cited_paper":"/paper/2109.08780","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:80033542c9715ecf518c72bae396842cae43d9f10b765300bc60e6836d75f580","observation_id":"dc1e399a-c811-4f4f-9328-ae1ba5c73923","resolution":{"observed_at":"2026-08-06T13:16:49.244478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10059","last_updated":"2024-06-04T10:04:33Z","snapshot_observed_at":"2026-07-06T17:45:02.270647Z","submitted_at":"2024-03-15T06:59:43Z","title":"Repoformer: Selective Retrieval for Repository-Level Code Completion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10059","snapshot_observed_at":"2026-08-06T13:16:49.249690Z","title":"Repoformer: Selective retrieval for repository-level code comple- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.249690Z"},"links":{"cited_paper":"/paper/2403.10059","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:399bcd4e050e2d879b62de7eb58789583bd636503a71f150182b999d8237baaf","observation_id":"a2f80d54-2ccd-42ed-8866-307779252ba8","resolution":{"observed_at":"2026-08-06T13:16:49.249690Z","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":"2026-08-06T13:16:49.924309Z","title":"The distribution of the flora in the alpine zone. 1,","venue":null,"work_id":"6e92a744-0da0-46fd-ba7d-8ccf35724525","year":1912},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.254725Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:4b27d4b05d21c77e64f6c09ba64276c0352071a9c5b895456eddb533f41a30d2","observation_id":"4bfa5119-2f12-48e3-8df8-500692ceef81","resolution":{"observed_at":"2026-08-06T13:16:49.928862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.907852Z","title":"Term-weighting approaches in auto- matic text retrieval,","venue":null,"work_id":"2948606e-ca4b-4c72-9bc3-89e13fdd1e59","year":1988},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.260110Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:4c36ee5b1f607a602c280761d84a12dfa07401ecbd66d8e166a4560d036aeeab","observation_id":"8c7d1432-396b-44a5-916b-3bbf47e07805","resolution":{"observed_at":"2026-08-06T13:16:49.913750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19487","last_updated":"2024-07-28T12:47:20Z","snapshot_observed_at":"2026-07-06T18:52:56.476112Z","submitted_at":"2024-07-28T12:47:20Z","title":"RLCoder: Reinforcement Learning for Repository-Level Code Completion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19487","snapshot_observed_at":"2026-08-06T13:16:49.264307Z","title":"Rlcoder: Reinforcement learning for repository-level code com- pletion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.264307Z"},"links":{"cited_paper":"/paper/2407.19487","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:643e7ebcb0ada3aae42f5e0c043950e785b7ade333ccb104d3d36bded9a745df","observation_id":"c357e99d-a072-45c1-bd30-b141a45eb67d","resolution":{"observed_at":"2026-08-06T13:16:49.264307Z","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":"2026-08-06T13:16:49.889808Z","title":"The probabilistic relevance framework: Bm25 and beyond,","venue":null,"work_id":"c6454138-3e49-4141-b1f8-b3c88da6f03d","year":2009},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.268833Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:4c05983e97812e1f4046ed6d97d49bb8ff4a0b50f6e99d82cc54ea84818e23fe","observation_id":"75b516aa-6a4f-4338-8bba-9132dfde96f1","resolution":{"observed_at":"2026-08-06T13:16:49.895779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.873317Z","title":"Transformers: State-of-the-art natural language processing,","venue":null,"work_id":"5d068148-10e9-4a41-8580-ec66b636138e","year":2020},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.273339Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:f9cf6bd6f83b5ead79c698a59ed6146e214930b59135de384df515a0ff891c3d","observation_id":"7c716b99-bec2-4632-b56a-07775608b9a7","resolution":{"observed_at":"2026-08-06T13:16:49.878040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.856255Z","title":"Efficient memory management for large language model serving with pagedattention,","venue":null,"work_id":"2fe8d774-7561-481b-b50c-12b9082a2b37","year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.277744Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:9b832a4a8c1f631c01c67a6dacd77adb30537e5edce89efebc87c6f202db9014","observation_id":"2adcfc1d-427c-4251-a395-0543f1265ed4","resolution":{"observed_at":"2026-08-06T13:16:49.862911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.839993Z","title":"Binary codes capable of correcting dele- tions, insertions, and reversals,","venue":null,"work_id":"b358efe4-08d5-42aa-87aa-4fded1f9ae66","year":1966},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.282286Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:5f1e9f481c060017f35f9bb9aa77a4f383b5293ce505f1840d3cfee44500fc13","observation_id":"43fb3c44-b274-4a7e-99a7-8973185bd59d","resolution":{"observed_at":"2026-08-06T13:16:49.845083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.03846","last_updated":"2023-01-10T08:30:37Z","snapshot_observed_at":"2026-07-06T14:39:53.809383Z","submitted_at":"2023-01-10T08:30:37Z","title":"Practitioners' Expectations on Code Completion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.03846","snapshot_observed_at":"2026-08-06T13:16:49.287244Z","title":"Practitioners’ expectations on code completion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.287244Z"},"links":{"cited_paper":"/paper/2301.03846","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:1d06abb25bc341e7c4d104c5ac3df37e45fe9e4c9bbd466ed4b407819f3eb8dc","observation_id":"9cf1381d-84a2-4b9c-9535-ff88ec6dd05a","resolution":{"observed_at":"2026-08-06T13:16:49.287244Z","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":"2026-08-06T13:16:49.823094Z","title":"Hits: High-coverage llm- based unit test generation via method slicing,","venue":null,"work_id":"eb5b06c2-755f-4f1e-b514-fd143db5c582","year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.291990Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:374cadc17eae71f282677576c6307114bd98de5590f4db7d984e76f45d695f52","observation_id":"9ccabc10-bc86-41ae-aa85-4f4c0f8496cc","resolution":{"observed_at":"2026-08-06T13:16:49.829055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T13:16:49.806607Z","title":"Claude 3.7 sonnet,","venue":null,"work_id":"df71a39d-504d-4306-b7ef-703b313d14a4","year":2025},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.296740Z"},"links":{"citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:981cdd446cbf05795747abd8c83e35ba74bc63ff457eb81884203f590275aee1","observation_id":"6526b8c0-fdbe-4ee6-8ff5-c594ae62e73f","resolution":{"observed_at":"2026-08-06T13:16:49.812225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10763","last_updated":"2023-11-03T11:13:15Z","snapshot_observed_at":"2026-08-05T14:35:38.861729Z","submitted_at":"2023-06-19T08:13:50Z","title":"Guiding Language Models of Code with Global Context using Monitors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10763","snapshot_observed_at":"2026-08-06T13:16:49.300911Z","title":"Guiding language models of code with global context using monitors,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.300911Z"},"links":{"cited_paper":"/paper/2306.10763","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:adeba8c065f8d82b9ec211bd1c70f11ee8d7489f15f5b05619c753582e0340bf","observation_id":"d7a14411-e711-4c6a-87a6-8d724dff146e","resolution":{"observed_at":"2026-08-06T13:16:49.300911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06391","last_updated":"2024-07-18T07:04:38Z","snapshot_observed_at":"2026-08-05T04:42:41.378396Z","submitted_at":"2024-01-12T06:03:56Z","title":"Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06391","snapshot_observed_at":"2026-08-06T13:16:49.305394Z","title":"Teaching code llms to use autocompletion tools in repository- level code generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.305394Z"},"links":{"cited_paper":"/paper/2401.06391","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:bc94bac3990f980c9bc45c6f84ef3b8bc01f6e96918d0492016f9ff20e25571f","observation_id":"76bb9828-cd76-4fec-bd6b-2d8252ee152a","resolution":{"observed_at":"2026-08-06T13:16:49.305394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16792","last_updated":"2024-06-11T02:38:20Z","snapshot_observed_at":"2026-07-06T17:50:09.945123Z","submitted_at":"2024-03-25T14:07:27Z","title":"Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16792","snapshot_observed_at":"2026-08-06T13:16:49.309536Z","title":"Iterative refinement of project-level code context for precise code generation with compiler feedback,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T13:16:49.309536Z"},"links":{"cited_paper":"/paper/2403.16792","citing_paper":"/paper/2507.20888"},"observation_digest":"sha256:63e2e09f976bb915f71a76693ba175eab70c36baab9d403528f06e9ac2287c09","observation_id":"ed5f7219-0b19-4eea-aef1-08c1b3200197","resolution":{"observed_at":"2026-08-06T13:16:49.309536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.20888","last_updated":"2025-07-28T14:39:46Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-07T21:58:03.408334Z","submitted_at":"2025-07-28T14:39:46Z","title":"Enhancing Project-Specific Code Completion by Inferring Internal API Information"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":46},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.20888."}