{"as_of":"2026-08-21T15:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5518ab0ed05488b0bb65d3f34072151ec8ef326e7f59f4c07afc7b9019be235e","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T04:13:54.470954Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2607.03194/citation-record","integrity":"/paper/2607.03194/integrity","json":"/paper/2607.03194/citation-record.json","paper":"/paper/2607.03194"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Hits: High-coverage llm-based unit test generation via method slicing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:683a64e8ba53223b655cad98ebad84874c51957273c0b1cef2790cd8661cd6fa","observation_id":"aa9a076b-701e-49ab-bffa-707f0465ff94","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.14224","last_updated":"2026-06-04T08:16:49Z","snapshot_observed_at":"2026-08-18T10:40:30.027984Z","submitted_at":"2025-11-18T07:57:58Z","title":"Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.14224","snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Ktester: Leveraging domain and testing knowledge for more effective llm-based test generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"cited_paper":"/paper/2511.14224","citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:22e32fc8daed307f92dd4918d44e29f2283a63e69fee517d654971bf0c7b657f","observation_id":"ee5b3a1e-8ae1-4095-bf0e-65dddffb1f57","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13580","last_updated":"2025-08-28T23:24:22Z","snapshot_observed_at":"2026-08-19T14:15:55.543531Z","submitted_at":"2025-03-17T16:10:38Z","title":"LLM Test Generation via Iterative Hybrid Program Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.13580","snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Llm test generation via iterative hybrid program analysis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"cited_paper":"/paper/2503.13580","citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:3de8291106826fff8e8f49b693ab193d3ed3499e7a608cec2e206b0a8e52ef8f","observation_id":"314eb407-147c-4853-9f82-ebd99666d83c","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03095","last_updated":"2025-03-31T13:13:27Z","snapshot_observed_at":"2026-08-20T10:06:07.933389Z","submitted_at":"2024-08-06T10:52:41Z","title":"TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03095","snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Testart: Improving llm-based unit testing via co-evolution of automated generation and repair iteration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"cited_paper":"/paper/2408.03095","citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:a924a3559dcd511ad29babeb06a21a1aad29920023ff1f484a3012217fe2b1ab","observation_id":"40a1ba28-df52-49db-8917-9f44a30820bb","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Coverup: Effective high cov- erage test generation for python,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:35f0d1392f45cfc42c3047a024265e7300e054168a0530931930053dbff2b429","observation_id":"8fdc4043-0358-4495-950f-82027b0b72d2","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:ada5e5b3abe07aa346b91b80b00f64a322600235349665518b33641bb959d39c","observation_id":"09b0ca76-63e1-4142-a0ee-2a10229be0b4","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Effective test generation using pre-trained large language models and mutation testing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:27ebc7ce4cf78452408505da65ff55a4b5d2e2613b65eccf7954f396682d2659","observation_id":"297f943a-856a-4bdb-8d58-6337efe266ce","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Mutation-guided llm-based test generation at meta,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:a59d2895cbd3b3bb383ea303d4b60f4f6b2b577874c5c63ceefcb3c4d51385d0","observation_id":"2176388d-828f-4fcb-b1c9-7b114d76e1fc","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.02954","last_updated":"2026-04-15T23:50:31Z","snapshot_observed_at":"2026-08-16T21:01:17.960912Z","submitted_at":"2025-06-03T14:47:22Z","title":"Mutation-Guided Unit Test Generation with a Large Language Model","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.02954","snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Mutation-guided unit test generation with a large language model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"cited_paper":"/paper/2506.02954","citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:42626839e220f5ce894a11de39484142a1355553c8a67cff1d06b42793b65b9f","observation_id":"2f50fae9-1f18-4e2b-8c23-c1c3a8cbf9b3","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.26851","last_updated":"2026-05-26T11:08:04Z","snapshot_observed_at":"2026-08-09T05:35:29.350605Z","submitted_at":"2026-05-26T11:08:04Z","title":"LLM-based Mockless Unit Test Generation for Java","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.26851","snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Llm-based mockless unit test generation for java,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"cited_paper":"/paper/2605.26851","citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:ce8bb6ae1038abdad9090d7dfd3d590b8d86debfa02bce6132ad3c71c9ea6d83","observation_id":"244cdb88-13e6-422b-8daf-f6f3618cabba","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"jquick-curl: A java wrapper for libcurl,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:6aa2d937d3f693e51ae39a6ccba7bc75ae73cfe2ba56dabfce77ddba724b6941","observation_id":"bf5f27b0-4a91-4413-8307-f01caa6dfca8","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Agent development kit (adk) for java,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:1ddab5275d22bd07a27b987b53b5847828f754b031f69052e3eb741ab0462119","observation_id":"899c3142-9181-4d85-95a2-cb835f43cca5","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Build production-ready ai agents in java,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:023b6f4491b2e196de9d30f5e5598cef4477c1fb4fd9a9cd04665bc4e5806d19","observation_id":"85e12199-1e1d-4d9b-84f2-f1cfc0fc8441","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"A2a: An open-source framework for building autonomous agents in java,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:10681c0fca3b6e857439f99fe0739a7d8e88f50478c0dad8eee060bf3f8af2a7","observation_id":"4bb151af-a2e1-48d9-bd17-204819d2581c","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Lizard: A code complexity analyzer,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:47131081a0400d6b78b35eab0562782244c917b7822b8ebe8feb5a922eeea77a","observation_id":"f40bee53-df13-4695-982c-32a30695506e","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06416","last_updated":"2024-10-08T23:00:48Z","snapshot_observed_at":"2026-08-18T19:46:31.821044Z","submitted_at":"2024-10-08T23:00:48Z","title":"Evaluating the Dependency Between Cyclomatic Complexity and Response For Class","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06416","snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Evaluating the dependency be- tween cyclomatic complexity and response for class,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"cited_paper":"/paper/2410.06416","citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:336bb91246890826ed2fdb30781a3a163b5e45e3be831a44fff66380d38e27ce","observation_id":"8c04398f-1d18-41dd-83c4-ac143d4b19fb","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Randoop: feedback-directed random testing for java,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:6005c006161fd50bad4c8b144d326f30237b6426bc80c8d571c724a67cd74078","observation_id":"6c96c9e9-99d6-4be2-8bed-ddf299fc62fd","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Evosuite: automatic test suite generation for object-oriented software,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:717e4bda39a0957568c0020105bc489d0f000abebc0ff3429db41d104701c515","observation_id":"85a6f731-bbaf-424d-a8ef-de2cac2d2201","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Graph-based seed object synthesis for search-based unit testing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:00cf51de19a2529007d47b664b7f84b3066cc60b3f8629c2873bee5ed1d8c07c","observation_id":"ce163d65-11ba-45e5-b73b-3ceee080f13b","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"[Online]","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:03b2496265461689a8a9dd16d4b361b15b5867dc6f24aa7785c8cab804413136","observation_id":"34d9fd98-3500-4092-b4cb-d659d8204603","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"[Online]","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:105915bc4db51ae9b92007d32410ddee94e2a3b21e1759145e86ec1bd87395bd","observation_id":"7a7ca6c7-9171-4dd5-975b-a0d54e247000","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Sootup: A redesign of the soot static analysis framework,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:c58023d50ebfd0d58138601b91e698080457bbeb70806a720d4d5b9438c3a058","observation_id":"97b9d1a7-a9dc-4a6e-ba40-8028f452e650","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"vllm: A high-performance llm inference and serving framework,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:fd3c9ac8560da9a52b6c64b9b653ea5021371e29eec9861d653efd5580008344","observation_id":"c7338dab-0ecb-4914-a578-d6a8bc79ce0d","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Fireworks ai,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:9b2a409e8f19e21d8bf6df1f23a37c4177ae7f3b60500f909c890349d4956fde","observation_id":"1735837d-9ad7-45b9-84ad-12681f7e58a3","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"A simu- lated annealing algorithm for multiobjective optimization,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:801ca7408c002bdaf18ce9cd7a03351bb904a995a513b6a3d8401727ce6e56a3","observation_id":"d4e5d741-235f-4238-9dc0-36e601c07f5a","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Automated test case generation as a many-objective optimisation problem with dynamic selection of the targets,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:64b2ff2cc98e5b466ee952b5061f32ea256ccbf6aa31514751f50db5da2c4f59","observation_id":"f92a30d7-1c6b-459f-bb22-e37a7e8c03c4","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Klee: unassisted and automatic generation of high-coverage tests for complex systems programs","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:a8a5702356f33773f07cdad31333a3690963f1a73c9b43ca4f45eb7c347663c4","observation_id":"88905094-733c-4266-9ff0-f8b9155629f9","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Test input generation with java pathfinder,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:be840cdc983ec71fb5adb823ed24deaf69639bc3e35c91ff375b4607960fb964","observation_id":"a4ca2162-c2e8-4a0c-920a-19a03bc2c7bf","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.05617","last_updated":"2021-05-20T23:11:01Z","snapshot_observed_at":"2026-08-20T10:04:13.215084Z","submitted_at":"2020-09-11T18:57:36Z","title":"Unit Test Case Generation with Transformers and Focal Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.05617","snapshot_observed_at":"2026-07-12T04:13:54.470954Z","title":"Unit test case generation with transformers and focal context,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"cited_paper":"/paper/2009.05617","citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:c3301f9a854e0158a8fe4e8eb7930904638174e4243b715755681c3a119f7b4d","observation_id":"31e64468-25e9-435b-8925-c9dd1c143a01","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Testspark: Intellij idea’s ultimate test generation companion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:c6daa291a17ffd0934410e8572bd3abce8afbd04349ff4257a02bbc0fcc66834","observation_id":"d17060d3-62f3-4960-a7a8-9b74fc5108b5","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Aster: Natural and multi-language unit test generation with llms,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:71b0f3df16c06aa75c397123613e934ea05c205fde3408d6da788d647cab8b70","observation_id":"404e470e-bc98-4017-baa9-89e78b9316cc","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Retrieval-augmented test generation: How far are we?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:9388204f98d00f94b7ca12f0f2d95319764c9814d25beffc2b51d4922bb0b1d4","observation_id":"cb34ec1a-19dd-4ef8-9556-718cbe5fa862","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Chatunitest: A framework for llm-based test generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:47ac5d40188f336ab4fec10d93312659dfe914c9f31089316c25acd7490b300d","observation_id":"8b6be1d8-47e6-4611-a99d-5a2a31a29b8c","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Automated unit test improvement using large language models at meta,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:6467deb8889c814ec77a9e1de53d0576295297e8d6912309c8684a98a5f14ede","observation_id":"0df0f221-457e-459a-99d1-254de3dca25c","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","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":"2026-07-12T04:13:54.470954Z","title":"Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-12T04:13:54.470954Z"},"links":{"citing_paper":"/paper/2607.03194"},"observation_digest":"sha256:e6870de9100568c76a4689df3862759a7071bc906171a408902aa3a148e33b34","observation_id":"416efab4-eeb3-4546-9fd5-559f23d27f15","resolution":{"observed_at":"2026-07-12T04:13:54.470954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.03194","last_updated":"2026-07-03T10:58:01Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-16T21:02:04.418441Z","submitted_at":"2026-07-03T10:58:01Z","title":"TATG: Tracking-Aware Testing Objective for LLM-based Test Generation"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":35},"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 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.03194."}