{"as_of":"2026-08-20T15:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:591a266ec7d95f6c92229c33f0abcc0e69316f84e786384172b441dee26332ad","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T13:59:57.596360Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2606.21151/citation-record","integrity":"/paper/2606.21151/integrity","json":"/paper/2606.21151/citation-record.json","paper":"/paper/2606.21151"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T13:59:57.596360Z","title":"The need for multivocal literature reviews in software engineering,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:19afd1b677b1942feb0682fd1c8f804de2cb6a4707f99219cbcf63014edb552f","observation_id":"c94113d6-8180-467b-bacc-5877d3beb92c","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04764","last_updated":"2024-05-07T09:08:13Z","snapshot_observed_at":"2026-08-16T15:34:45.655305Z","submitted_at":"2023-05-08T15:12:07Z","title":"ChatUniTest: A Framework for LLM-Based Test Generation","version":2},"cited_work":{"arxiv_id":"2305.04764","doi":"10.48550/arxiv.2305.04764","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.04764","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chatunitest: a chatgpt- based automated unit test generation tool","venue":"arXiv (Cornell University)","work_id":"8c434d14-95c4-4f45-870d-eec2f8ea4da3","year":2023},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"cited_paper":"/paper/2305.04764","citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:25bff20daf4397ab6de6ee7f9e96407b45c5cd4a77add652cd9fea446d1822cb","observation_id":"ad93ea0f-dda5-4e57-a58b-74eb26603fa4","resolution":{"observed_at":"2026-07-04T06:59:37.837379Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-06-26T13:59:57.596360Z","title":"An empirical evaluation of using large language models for automated unit test generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:645b39c4f197ae27fc7aba210b7f032e2b36b1bfcaae97a87d6fb5fc236c240e","observation_id":"5d36979c-00af-4532-96b3-86e13dab0b05","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"SeaNet: Knowledge graph -based autonomic network management,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:564aa1493943adf879e244cbc2a338f6bd6fbaf4fc56943e6fabfc569621bd29","observation_id":"eed68e7d-a2f7-481b-9eb4-4cd663a1b400","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"NORIA: An operational knowledge graph for IT service management,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:4ff9b680e0d7c879b08080cd16b00a3710a73623ede6613b96172accc1420a39","observation_id":"4e8d55e7-5bb3-4c94-85df-2ad0c175239d","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:62341574b42746bbcc56d26910d27bfdc3b2048601a8dbcedee28d4f00691242","observation_id":"0b41a85f-59b9-4233-a130-b4b414a9e1e3","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:71bf04852f37d906a227ac0817b28e637dca2f069a8902a548271ed07a09ebbc","observation_id":"75de9d88-d9d1-4408-a145-141764875e48","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Model Context Protocol: Specification and Overview,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:5d047f488bde6d1c4917462c973d725335c12929be3c62e389b2fb9011134572","observation_id":"db7d5e6c-2b81-4e08-a261-4ee90f236cb0","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:ca966712f2f4c299db0a595eb1875311da8ee68eb17ceb4cb66a40555e9e91ad","observation_id":"aa143cc7-0a45-4288-8ec4-ac89d0579b77","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Testim: AI -powered test automation platform,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:7e4e0be1fc565fe2e1272cef3aa67df4b9d868ef624aeea3e8f4708e829cfe7f","observation_id":"e6398b41-c866-4e65-9ea6-9c45058bfa4a","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Landslide: 5G Core Network Testing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:c5d7550595f8008b126b67057b53c3866126f0bee4844368a2f24f30579bc2f6","observation_id":"91fc1841-b743-4bce-a5b3-4f4904324f5f","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:5fa03e5c08521cba9dd9756ba0a4e25e68515f77c054b8c7f4b80679bf88b1fc","observation_id":"3a57b7e8-ac6b-4db5-bcf7-89a2c4dad78d","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Knowledge graph -based test case generation from requirements,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:5eb12a09cf4b1a6109131f3280084308fd33e9bc202fdcddc14b8865be5f5dd7","observation_id":"c08611dc-b5df-4398-b14e-ed2c14fa1404","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"LLM agents for network penetration testing using knowledge graphs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:37137dacf20eb978b05a73aff6753ba9f2f7f14d5e813db34424f805428dd829","observation_id":"050743bf-cfe6-4e10-a4ad-7b2515b0e4e5","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12652","last_updated":"2023-05-24T05:08:07Z","snapshot_observed_at":"2026-08-17T20:02:13.545674Z","submitted_at":"2023-01-30T04:18:09Z","title":"REPLUG: Retrieval-Augmented Black-Box Language Models","version":4},"cited_work":{"arxiv_id":"2301.12652","doi":"10.48550/arxiv.2301.12652","metadata_source":"pith","pith_arxiv_id":"2301.12652","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"REPLUG: Retrieval-Augmented Black-Box Language Models","venue":"cs.CL","work_id":"8bbfb70c-d688-4517-aef1-fec34f4b5ec9","year":2023},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"cited_paper":"/paper/2301.12652","citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:f2b1b1dd93b223ea540e6083d63d36d5da95d83ff0f30dc47efd4c53d7b56dbc","observation_id":"efd62c3d-6717-4fb0-9bc5-2a21df87f9b3","resolution":{"observed_at":"2026-07-04T06:59:37.839651Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-04T01:08:11.359362+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-04T01:08:11.359362+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-06-26T13:59:57.596360Z","title":"Utilizing artificial intelligence to test cloud applications,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:bd587f7031f650b463fa349b5c985ade456ced3f67006f999fea6afb81a78ede","observation_id":"4987008a-1edc-4eae-ab3c-6988b778f1a7","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"An artificial intelligence automated software testing system and method,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:0eb9c151accc801d5c7d1cf6298e0203bc966daf12f9b352b9979b3fcbbae762","observation_id":"7791c890-35c9-469e-b8af-61b30682eeb3","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Intelligent analysis and application system and method for wireless communication network knowledge graph,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:070ede22d4db5ec9bc019d46c60469faebb88a9f7d8a2f19956c2dc6133d6512","observation_id":"12c8135b-77a0-49e4-a749-b65b0e51df66","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Automatically generating an application knowledge graph,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:6347d87b614e2ae61b1d95363291d7fd49573d0c8616fe1b0a4938907109fbb9","observation_id":"92c0a706-fd1a-441d-b963-338e3d29d1df","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","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":"2026-06-26T13:59:57.596360Z","title":"Knowledge graph -based network security test generation method,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T13:59:57.596360Z"},"links":{"citing_paper":"/paper/2606.21151"},"observation_digest":"sha256:d6c76558ee59f8ee70412bfcdab8abe6c59e80a1fbac5c589587bae189626d50","observation_id":"c1015d94-0822-417f-9d49-7433dec58529","resolution":{"observed_at":"2026-06-26T13:59:57.596360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.21151","last_updated":"2026-06-19T06:44:31Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-16T20:41:26.835691Z","submitted_at":"2026-06-19T06:44:31Z","title":"Context-Aware Generative AI for Automated Telecom Test Script Generation"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":20},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.21151."}