{"as_of":"2026-08-21T11:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d5f2ef7e64e7d8e07d484a3f143351b19d41f2865173be65d23ae4e90f332d37","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:42:52.361219Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T20:11:37.809779Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-13T20:13:13.472440Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"cited_work":{"arxiv_id":"2504.14852","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.14852","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7e8e9651-8eb4-40f0-a33d-d0762592feb5","year":2025},"citing_paper":{"arxiv_id":"2604.02852","last_updated":"2026-06-02T07:24:24Z","snapshot_observed_at":"2026-08-16T04:12:19.052417Z","submitted_at":"2026-04-03T08:13:42Z","title":"Dependency-Guided Repository-Level C-to-Rust Translation with Reinforcement Alignment","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-13T20:11:37.809779Z"},"links":{"cited_paper":"/paper/2504.14852","citing_paper":"/paper/2604.02852"},"observation_digest":"sha256:0efa2e9c035dbc09a47dff354c3f15ab9bf43d7d9fc7dac199b0e134ca1f40b4","observation_id":"d7c43833-bc5b-43d2-aab7-27e6367c16a4","resolution":{"observed_at":"2026-05-13T20:13:13.474194Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.14852/citation-record","integrity":"/paper/2504.14852/integrity","json":"/paper/2504.14852/citation-record.json","paper":"/paper/2504.14852"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:42:52.885857Z","title":"Automated Cobol to Java recycling,","venue":null,"work_id":"13e36d7a-2d6b-4f1a-b8de-ad5c247ec4f6","year":2003},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.226764Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:0a267cad11239190afe82a9905c8212dabc33d4de1323bb9857d8bd662b8713f","observation_id":"e9ddab11-4664-47e2-b9f6-9264e4bced92","resolution":{"observed_at":"2026-08-16T11:42:52.890089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01063","last_updated":"2024-11-05T04:21:55Z","snapshot_observed_at":"2026-08-19T04:42:49.570439Z","submitted_at":"2024-11-01T22:31:32Z","title":"InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01063","snapshot_observed_at":"2026-08-16T11:42:52.230995Z","title":"InterTrans: Leveraging transitive intermediate translations to enhance llm-based code translation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.230995Z"},"links":{"cited_paper":"/paper/2411.01063","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:1fa97fdf36e6d6b5c2b6dd3ae7d51f7ce01da946646ddeec39d918ca2d65bd66","observation_id":"c923811f-0a88-49f1-8fa4-8915623ec5f6","resolution":{"observed_at":"2026-08-16T11:42:52.230995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11476","last_updated":"2023-10-17T04:59:15Z","snapshot_observed_at":"2026-08-18T10:57:45.790126Z","submitted_at":"2023-10-17T04:59:15Z","title":"Program Translation via Code Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11476","snapshot_observed_at":"2026-08-16T11:42:52.235353Z","title":"Program translation via code distillation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.235353Z"},"links":{"cited_paper":"/paper/2310.11476","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:73491b7f0e5ace102163d8ed5226d8da6a929ce31d58a07e2d35b01b72627c84","observation_id":"b2b36b7c-8e2b-4612-a898-33e8a5e2f964","resolution":{"observed_at":"2026-08-16T11:42:52.235353Z","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":"2026-08-16T11:42:52.872094Z","title":"CodeGeeX: A pre- trained model for code generation with multilingual benchmarking on HumanEval-X,","venue":null,"work_id":"d07007b7-6952-433c-9be4-71e66ebb57ec","year":2023},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.239865Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:b1862c9f5746891f09af0aeaaa0e1dffa3f45a6a1f0352af186b0175df9bc59b","observation_id":"bfa2c18f-9458-4f9d-a81a-850d863d534a","resolution":{"observed_at":"2026-08-16T11:42:52.877226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.859033Z","title":"On the evaluation of neural code translation: Taxonomy and benchmark,","venue":null,"work_id":"35070556-e409-4479-aeab-da2e4ccfe1c7","year":2023},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.244416Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:55adbb22e35beaa4697c5be353ac036d87b5f91cf7b4aae4d6b96e351008688a","observation_id":"e20e8d3c-9065-4591-98ee-76a4b9c04dc9","resolution":{"observed_at":"2026-08-16T11:42:52.863485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15539","last_updated":"2023-12-15T06:40:41Z","snapshot_observed_at":"2026-08-16T14:49:29.083985Z","submitted_at":"2023-10-24T06:04:28Z","title":"SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15539","snapshot_observed_at":"2026-08-16T11:42:52.248533Z","title":"Stelocoder: a decoder-only LLM for multi-language to Python code translation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.248533Z"},"links":{"cited_paper":"/paper/2310.15539","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:9bc56a65fe73674c1c388701b5c2af1e924812b4303c210fbe4c5a0c85e2d687","observation_id":"0be8019e-edfe-42c3-a032-b18262a9f92f","resolution":{"observed_at":"2026-08-16T11:42:52.248533Z","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":"2026-08-16T11:42:52.847696Z","title":"Teaching large language models to self-debug,","venue":null,"work_id":"3226a784-a503-453f-ae47-858e43711748","year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.253045Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:f6da745ff76d268655f29436aa1cd883c3ad346d12e7accf1b39186ac2df3acb","observation_id":"3e54afa0-2ea4-4b71-9e55-5554220cbb02","resolution":{"observed_at":"2026-08-16T11:42:52.851389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.835550Z","title":"Explain-then-translate: an analysis on improving program translation with self-generated explanations,","venue":null,"work_id":"533ae3f8-ef02-42c8-81c1-aceb55ff9369","year":2023},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.257318Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:a7c928e4aa8512e2842788c337e8c8bea0933e78eac29bf64b25dcbab35564d0","observation_id":"4ad400a9-ec62-49d9-8dc6-5a69b5ba21f4","resolution":{"observed_at":"2026-08-16T11:42:52.839740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:42:52.261317Z","title":"Spectra: Enhancing the code trans- lation ability of language models by generating multi-modal specifica- tions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.261317Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:f6676aabc3af4f0d05a890cb4257af791cb44057ad33f792e0b1ba0906513dfa","observation_id":"807010cc-2294-48d8-9627-bc92b142e98a","resolution":{"observed_at":"2026-08-16T11:42:52.261317Z","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":"2026-08-16T11:42:52.265230Z","title":"On the effectiveness of large language models in domain- specific code generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.265230Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:b096f3b502141f18b8493d316cd0c586c986664ecd0b1d238a01b031a4817de6","observation_id":"a7d8cca9-1e1a-47de-9e21-4cd2aad5c3d4","resolution":{"observed_at":"2026-08-16T11:42:52.265230Z","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":"2026-08-16T11:42:52.813817Z","title":"Lost in translation: A study of bugs introduced by large language models while translating code,","venue":null,"work_id":"17f02021-b4b5-4f48-b9b7-2baae1cefa4b","year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.269052Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:f8f1e5bfb1639acda3cd05c80b72ac912df57ff129cc2ea59b09e57125762c0d","observation_id":"6dcc17ae-5984-4623-8e50-3f29c360e1ab","resolution":{"observed_at":"2026-08-16T11:42:52.818009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-16T11:42:52.273096Z","title":"Starcoder: may the source be with you!","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.273096Z"},"links":{"cited_paper":"/paper/2305.06161","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:3629deabea7f5ed8eaf4648b6d4078b21c76811debaf41936419bd5446d06ac1","observation_id":"ed7cf781-6e7c-45e2-8c94-90a6b82fe24c","resolution":{"observed_at":"2026-08-16T11:42:52.273096Z","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":"2026-08-16T11:42:52.799389Z","title":"Language models are few-shot learners,","venue":null,"work_id":"575b211a-0847-4741-93c7-5d06592c0eb8","year":1901},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.277235Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:973caf193ff2dde56d8a490a55585add9ff79c3ebc021a5e877916822da6ffb3","observation_id":"eb574ed0-32c9-4b33-8181-f9737ba651c2","resolution":{"observed_at":"2026-08-16T11:42:52.804724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.783493Z","title":"Unsupervised translation of programming languages,","venue":null,"work_id":"b22094d1-8e72-49fd-9734-eb8906d52f0f","year":2020},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.280997Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:19a52648e150d75c0940408977c6ed548ab4dc560837aac0b26f53ac44c9d91a","observation_id":"819b664a-b27f-4710-973a-ceb4fd417a03","resolution":{"observed_at":"2026-08-16T11:42:52.788549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.768430Z","title":"Codenet: A large- scale ai for code dataset for learning a diversity of coding tasks,","venue":null,"work_id":"9fe29c14-836e-4fb8-9971-a1daae5f6886","year":2021},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.284715Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:d675b7048c3b7170f18c5e4ac5bb4e838e087c7dbea0f65840395aefdd5ba341","observation_id":"3d92fc64-7713-40f0-a46c-ce09b0127aed","resolution":{"observed_at":"2026-08-16T11:42:52.772606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.11590","last_updated":"2023-05-04T20:22:25Z","snapshot_observed_at":"2026-08-18T10:17:48.701998Z","submitted_at":"2021-08-26T05:44:20Z","title":"AVATAR: A Parallel Corpus for Java-Python Program Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.11590","snapshot_observed_at":"2026-08-16T11:42:52.289272Z","title":"Avatar: A parallel corpus for java-python program translation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.289272Z"},"links":{"cited_paper":"/paper/2108.11590","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:aa3f382e184f0dfcbf209304b3217565048c8cfb1c63de7c65d221622efaf7cd","observation_id":"5251691f-7e31-4cd1-a0d7-20f6eaae4721","resolution":{"observed_at":"2026-08-16T11:42:52.289272Z","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":"2026-08-16T11:42:52.755701Z","title":"Unraveling the potential of large language models in code translation: How far are we?","venue":null,"work_id":"b02d8a1c-c98f-4bb4-817e-591a048e0183","year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.293562Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:6559a5b84c1c35a5e736e9efdcd4d322989302bc66a2364459d0294f13718210","observation_id":"9db06378-d4ca-4d3a-9205-b7fd5e8d572d","resolution":{"observed_at":"2026-08-16T11:42:52.759559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.743838Z","title":"Okapi at TREC-3,","venue":null,"work_id":"030c2ed7-6fad-4fba-9ac6-80c11e91b026","year":1994},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.297305Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:6e4422b752176165b1cb59260f715d01a88c7bc3a7fe5e0e3998cd00554ce833","observation_id":"b52d45ab-0056-4dab-967d-7d42a46f8528","resolution":{"observed_at":"2026-08-16T11:42:52.747762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.730994Z","title":"CodeBERT: A pre-trained model for programming and natural languages,","venue":null,"work_id":"8ef6ecd4-2723-4952-b0ec-f016bc39ec62","year":2020},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.301016Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:eaf174eeaccd8329fc1854a78402f43d7c88fe73b643f8514dcca83bce8b33ea","observation_id":"19ac847c-d007-493d-98c9-3cad4d7ba494","resolution":{"observed_at":"2026-08-16T11:42:52.735448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09436","last_updated":"2020-06-08T09:09:28Z","snapshot_observed_at":"2026-08-15T20:39:17.343191Z","submitted_at":"2019-09-20T11:52:45Z","title":"CodeSearchNet Challenge: Evaluating the State of Semantic Code Search","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.09436","snapshot_observed_at":"2026-08-16T11:42:52.304759Z","title":"CodeSearchNet challenge: Evaluating the state of semantic code search,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.304759Z"},"links":{"cited_paper":"/paper/1909.09436","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:69d45733e486156c71fc209af0415bfa5e6a703caefbb5a076749f84e495750c","observation_id":"df1f6389-ca26-42ab-8f44-c67ae4231edf","resolution":{"observed_at":"2026-08-16T11:42:52.304759Z","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":"2026-08-16T11:42:52.714835Z","title":"Graphcode {bert}: Pre- training code representations with data flow,","venue":null,"work_id":"c31c13ea-6dc1-40f1-810f-25f23d493147","year":2021},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.309794Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:a10ed30d3ac45865b269b927dc5d4fe3accbaebc39fc2e735e6e911a01630522","observation_id":"d02135db-7cc6-4a7e-8ad0-4f0416413860","resolution":{"observed_at":"2026-08-16T11:42:52.719365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.701405Z","title":"UniXcoder: Unified cross-modal pre-training for code representation,","venue":null,"work_id":"4ecfebfb-513a-4295-b21e-f1ee62195591","year":2022},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.314330Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:64162b6eb0012a43b4411514886bdb35051494f9dc7b88c030c07d332743e5ea","observation_id":"2c67495d-817e-496d-b511-13ff0164798a","resolution":{"observed_at":"2026-08-16T11:42:52.706330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.684830Z","title":"Program transformation with Stratego/XT: Rules, strategies, tools, and systems in stratego/xt 0.9,","venue":null,"work_id":"23ac6ec4-eba0-461b-8ef8-ffceb86ebfe8","year":2003},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.318291Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:3ef8fb08429d2f9e923c27b0da6f3c18dfe067c61163a64577e94cf22b7f7a16","observation_id":"d4f2c990-0c70-4be7-ae46-cee11c8ec663","resolution":{"observed_at":"2026-08-16T11:42:52.690158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.669145Z","title":"[Online]","venue":null,"work_id":"4c7f1f26-8825-4dba-a60f-b24b93d4bd24","year":null},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.322054Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:2f67b05a1ae229a2187b645cd1517a297cf73e3bf4f6076f683ade13dd08a8a7","observation_id":"5e9de90d-66f9-4852-8602-6644f49c945c","resolution":{"observed_at":"2026-08-16T11:42:52.673813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.653684Z","title":"CodeT5: Identifier- aware unified pre-trained encoder-decoder models for code understand- ing and generation,","venue":null,"work_id":"dcb22bd8-1e78-448f-a28c-6ef8ea95b03f","year":2021},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.326140Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:4daaadcdd8d557e185c7f0a5108dc3e579f4ee436bcf12467f3cc00a472530be","observation_id":"d8af5674-06e1-4e2d-9f0a-343af4befd8d","resolution":{"observed_at":"2026-08-16T11:42:52.657844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.641226Z","title":"Leveraging automated unit tests for unsupervised code translation,","venue":null,"work_id":"54636d22-b101-4ab1-b488-37c7ea548aa9","year":2022},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.330588Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:acc018f1491c4274932ca2c2eeb5de67349f053b7154303c40bc06a5d757ec8c","observation_id":"92615eb6-ec56-4b76-b951-7e07b1438a25","resolution":{"observed_at":"2026-08-16T11:42:52.645554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-16T11:42:52.626250Z","title":"Code translation with compiler representations,","venue":null,"work_id":"e8c75792-4c44-4d3a-bef2-960e2d11bbc9","year":2023},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.334621Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:58e67647c86a65ce5be70f5b0860ad434caeea3d47742a102e0c728a5b775e7d","observation_id":"e86e477b-ecfd-498a-a6bc-6910aebed82b","resolution":{"observed_at":"2026-08-16T11:42:52.630831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14646","last_updated":"2024-05-11T13:20:19Z","snapshot_observed_at":"2026-08-16T13:58:42.131846Z","submitted_at":"2024-04-23T00:49:46Z","title":"Exploring and Unleashing the Power of Large Language Models in Automated Code Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14646","snapshot_observed_at":"2026-08-16T11:42:52.338723Z","title":"Exploring and unleashing the power of large language models in automated code translation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.338723Z"},"links":{"cited_paper":"/paper/2404.14646","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:ab16f967235b4ba9c8a03bdafb2a7a4dec9877c667a6a0cc4d018a2e492b5a54","observation_id":"c216d656-5c59-4d72-a6fd-5933954e646c","resolution":{"observed_at":"2026-08-16T11:42:52.338723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19619","last_updated":"2024-07-29T00:41:48Z","snapshot_observed_at":"2026-08-16T13:30:24.513109Z","submitted_at":"2024-07-29T00:41:48Z","title":"Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.19619","snapshot_observed_at":"2026-08-16T11:42:52.343487Z","title":"Enhancing code translation in language models with few-shot learning via retrieval-augmented generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.343487Z"},"links":{"cited_paper":"/paper/2407.19619","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:55f11d6b714b5d991275584fb0aca38237e2a8e0cc7234f7c6cbe0519c88f9a3","observation_id":"5d1ca72c-521f-4711-aa1c-c20a4397dd20","resolution":{"observed_at":"2026-08-16T11:42:52.343487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19894","last_updated":"2026-04-07T14:20:20Z","snapshot_observed_at":"2026-08-14T14:48:16.273611Z","submitted_at":"2024-09-30T02:53:03Z","title":"TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19894","snapshot_observed_at":"2026-08-16T11:42:52.347650Z","title":"TRANSAGENT: An LLM-based multi-agent system for code trans- lation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.347650Z"},"links":{"cited_paper":"/paper/2409.19894","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:ff64aca3ff98ce535ec6786f8a4d168ba76cc12d26761967fd296db1de1b021c","observation_id":"eae7c62c-6a58-4be2-a4cd-ea49ddb4ccc2","resolution":{"observed_at":"2026-08-16T11:42:52.347650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.17236","last_updated":"2022-10-31T11:42:06Z","snapshot_observed_at":"2026-08-16T16:19:49.252992Z","submitted_at":"2022-10-31T11:42:06Z","title":"When Language Model Meets Private Library","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.17236","snapshot_observed_at":"2026-08-16T11:42:52.352513Z","title":"When language model meets private library,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.352513Z"},"links":{"cited_paper":"/paper/2210.17236","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:2ef539b4f81157855d3e2d15db94f5a34ac50fc2b7609cc1b13ac3d1ebf260ed","observation_id":"84ce645b-e0c1-4671-854d-4adcb0e36830","resolution":{"observed_at":"2026-08-16T11:42:52.352513Z","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":"2026-08-16T11:42:52.609622Z","title":"Compositional API recommendation for library-oriented code generation,","venue":null,"work_id":"b4b0ea2f-639a-424f-adb6-735bc25fc4d1","year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.357043Z"},"links":{"citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:a2fcbcfaa2c04933348114ee526959dfcc12419a3b46d51f3a17b20b701bca3e","observation_id":"7e17162b-a033-4be0-8130-265c0e4f2bd4","resolution":{"observed_at":"2026-08-16T11:42:52.616744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05366","last_updated":"2025-06-19T05:08:17Z","snapshot_observed_at":"2026-08-16T13:00:26.839188Z","submitted_at":"2024-12-06T19:00:15Z","title":"ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05366","snapshot_observed_at":"2026-08-16T11:42:52.361219Z","title":"ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:52.361219Z"},"links":{"cited_paper":"/paper/2412.05366","citing_paper":"/paper/2504.14852"},"observation_digest":"sha256:e7ce3acaadd5fcef82bf8f4d0e5613ef4966f8d3eeaa8f7f2d9d1356241c2761","observation_id":"27105afd-4a9e-4cfd-ae8b-ae7eaf58171e","resolution":{"observed_at":"2026-08-16T11:42:52.361219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.14852","last_updated":"2025-04-21T04:24:49Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-20T02:28:11.824740Z","submitted_at":"2025-04-21T04:24:49Z","title":"APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":33},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2504.14852."}