{"as_of":"2026-08-10T08:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:944b8a9b44f851256166e5dfca3bd7dc22865bac2eedea91d851370a9377ef48","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:22:43.791043Z","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":"2026-07-05T04:40:40.645098Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":"2406.18518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-05T04:40:40.645098Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets","venue":null,"work_id":"d14526c9-0859-4c1e-b313-132b7b4bc9d9","year":2024},"citing_paper":{"arxiv_id":"2502.02737","last_updated":"2025-02-04T21:43:16Z","snapshot_observed_at":"2026-08-10T04:07:56.506438Z","submitted_at":"2025-02-04T21:43:16Z","title":"SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model","version":1},"reference_index":198,"source":"arxiv_source","source_observed_at":"2026-05-13T17:30:02.803757Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2502.02737"},"observation_digest":"sha256:7c177f2d2d4662da5f80d1cbaf193b1c3e5ac798b2dc8707754588710ae1c767","observation_id":"c6142047-764f-4588-a741-0401caa46358","resolution":{"observed_at":"2026-05-13T17:30:02.995518Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-08-06T21:22:43.791043Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets // arXiv preprint arXiv:2406.18518","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00487","last_updated":"2025-07-02T04:35:44Z","snapshot_observed_at":"2026-08-09T21:28:27.419190Z","submitted_at":"2025-07-01T07:02:26Z","title":"MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:22:43.791043Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2507.00487"},"observation_digest":"sha256:68520d4b53efbe423d7cc2504c75443b0da146ee69f3856d6b635b498a8a6a49","observation_id":"8974eec0-168b-41bf-889e-70aee0fe6b95","resolution":{"observed_at":"2026-08-06T21:22:43.791043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-08-04T23:55:38.242749Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets.arXiv preprint arXiv:2406.18518, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06283","last_updated":"2025-09-09T02:30:02Z","snapshot_observed_at":"2026-08-08T11:28:39.967324Z","submitted_at":"2025-09-08T02:07:09Z","title":"SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T23:55:38.242749Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2509.06283"},"observation_digest":"sha256:2fe677c1bb19276c0f8eb91130f9d1abbaadda20d912e7f7b0e60f40182f0105","observation_id":"201cd6c1-3ec3-4890-b5e3-f4830eae074a","resolution":{"observed_at":"2026-08-04T23:55:38.242749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-08-04T06:09:51.877080Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function- Calling Datasets.arXiv preprint arXiv:2406.18518,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.07086","last_updated":"2026-08-01T15:58:15Z","snapshot_observed_at":"2026-08-09T04:52:07.451220Z","submitted_at":"2026-02-06T08:37:06Z","title":"RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T06:09:51.877080Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2602.07086"},"observation_digest":"sha256:1ef7ab7b4ff1ed11f8fa0212e4d7a344101fd314a720337fd3c7539a6099f67a","observation_id":"0e3aa67d-7fb0-4945-9433-92dc32d8ac63","resolution":{"observed_at":"2026-08-04T06:09:51.877080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-08-02T21:46:33.308122Z","title":"C., Wang, H., Heinecke, S., and Xiong, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19218","last_updated":"2026-06-09T15:02:00Z","snapshot_observed_at":"2026-08-05T17:29:43.215311Z","submitted_at":"2026-02-22T15:02:00Z","title":"Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T21:46:33.308122Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2602.19218"},"observation_digest":"sha256:e0a335d7f2540e39660627ce1e5f7594b7d37f785568ddf76024c167f3a08086","observation_id":"21349642-9a4f-4fd8-86dd-80f246353dc2","resolution":{"observed_at":"2026-08-02T21:46:33.308122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":"2406.18518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-05T04:40:40.645098Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets","venue":null,"work_id":"d14526c9-0859-4c1e-b313-132b7b4bc9d9","year":2024},"citing_paper":{"arxiv_id":"2604.06370","last_updated":"2026-04-07T18:52:25Z","snapshot_observed_at":"2026-08-08T21:24:58.736715Z","submitted_at":"2026-04-07T18:52:25Z","title":"ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T18:16:49.292491Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2604.06370"},"observation_digest":"sha256:4ffdb3e05dd5f738007b8e9b0c981537b3a087b34d0f4b9e9edc590483d48e37","observation_id":"cf1c8af8-5547-4efc-9376-1e6527f01ce3","resolution":{"observed_at":"2026-05-11T05:10:54.941253Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":"2406.18518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-05T04:40:40.645098Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets","venue":null,"work_id":"d14526c9-0859-4c1e-b313-132b7b4bc9d9","year":2024},"citing_paper":{"arxiv_id":"2604.20316","last_updated":"2026-06-02T07:07:49Z","snapshot_observed_at":"2026-08-07T20:01:54.222552Z","submitted_at":"2026-04-22T08:13:24Z","title":"R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-10T00:31:31.327074Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2604.20316"},"observation_digest":"sha256:8cd39420230f4c9f2fa5cdc02f9217ad3bec6673eac9bee2871e03d5cd07ec9f","observation_id":"f43b9f12-e28d-4b4d-aa98-c33360617193","resolution":{"observed_at":"2026-05-11T13:46:05.684078Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":"2406.18518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-05T04:40:40.645098Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets","venue":null,"work_id":"d14526c9-0859-4c1e-b313-132b7b4bc9d9","year":2024},"citing_paper":{"arxiv_id":"2604.20316","last_updated":"2026-06-02T07:07:49Z","snapshot_observed_at":"2026-08-07T20:01:54.222552Z","submitted_at":"2026-04-22T08:13:24Z","title":"R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-05T04:32:42.150335Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2604.20316"},"observation_digest":"sha256:7fc1d91545c05f9db1612d2b3af16f35e840ace414ff2fcd01601bc6b6a4cb85","observation_id":"b2d5013e-4788-4fa0-9388-0e3cb9ee698e","resolution":{"observed_at":"2026-07-05T04:40:40.648033Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":"2406.18518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-05T04:40:40.645098Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets","venue":null,"work_id":"d14526c9-0859-4c1e-b313-132b7b4bc9d9","year":2024},"citing_paper":{"arxiv_id":"2605.05758","last_updated":"2026-05-07T06:53:17Z","snapshot_observed_at":"2026-08-03T09:37:33.047598Z","submitted_at":"2026-05-07T06:53:17Z","title":"BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-08T11:08:04.684729Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2605.05758"},"observation_digest":"sha256:86839925fbdba5f05f67e3177e76df54d8a93eb5484ea2ce0fc07ff7484f002b","observation_id":"c5f28b09-3106-4c34-a125-56261454ba07","resolution":{"observed_at":"2026-05-11T19:41:11.166440Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":"2406.18518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-05T04:40:40.645098Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets","venue":null,"work_id":"d14526c9-0859-4c1e-b313-132b7b4bc9d9","year":2024},"citing_paper":{"arxiv_id":"2606.11520","last_updated":"2026-07-14T14:04:47Z","snapshot_observed_at":"2026-08-09T21:59:48.919495Z","submitted_at":"2026-06-09T23:44:26Z","title":"ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-06-27T12:50:32.024037Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2606.11520"},"observation_digest":"sha256:930c2c2a101d609bd6f0786b5dc7cb0d2c7165aff5dc7a47cf4380b7850be5ba","observation_id":"c1e63385-cd95-43ba-9b63-f405b41e3d06","resolution":{"observed_at":"2026-07-03T06:17:41.464678Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-14T18:06:15.668254Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11520","last_updated":"2026-07-14T14:04:47Z","snapshot_observed_at":"2026-08-09T21:59:48.919495Z","submitted_at":"2026-06-09T23:44:26Z","title":"ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-14T18:06:15.668254Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2606.11520"},"observation_digest":"sha256:02e6c3c8589e7d7e977264ecc81e767462fa4c10615cc2522944ed68468f7231","observation_id":"1153a630-3a9f-46cb-bd21-a1183050cdbb","resolution":{"observed_at":"2026-07-14T18:06:15.668254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-15T10:51:49.150058Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.11520","last_updated":"2026-07-14T14:04:47Z","snapshot_observed_at":"2026-08-09T21:59:48.919495Z","submitted_at":"2026-06-09T23:44:26Z","title":"ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories","version":4},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-15T10:51:49.150058Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2606.11520"},"observation_digest":"sha256:fa617ba1c39ca53787a6ff01883b0a555ce526196b33eb0052deb2f7ed62d793","observation_id":"92067816-87a0-428c-aec3-781014ad956d","resolution":{"observed_at":"2026-07-15T10:51:49.150058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18518","snapshot_observed_at":"2026-07-11T22:10:22.729188Z","title":"APIGen: Auto- mated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04034","last_updated":"2026-07-04T21:27:40Z","snapshot_observed_at":"2026-08-09T11:16:02.443510Z","submitted_at":"2026-07-04T21:27:40Z","title":"The \"I Don't Know\" Filter: Enhancing Agentic Reliability in Function Calling","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-11T22:10:22.729188Z"},"links":{"cited_paper":"/paper/2406.18518","citing_paper":"/paper/2607.04034"},"observation_digest":"sha256:93828105b2b952a1db11e98fb3c766b7dc67bc5feb69c8f3e9dec58d4e9f56d5","observation_id":"b1f5e046-2670-4fb3-bbd5-010badbd885b","resolution":{"observed_at":"2026-07-11T22:10:22.729188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.18518/citation-record","integrity":"/paper/2406.18518/integrity","json":"/paper/2406.18518/citation-record.json","paper":"/paper/2406.18518"},"outbound":[],"paper":{"arxiv_id":"2406.18518","last_updated":"2024-06-26T17:49:11Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T22:29:52.868625Z","submitted_at":"2024-06-26T17:49:11Z","title":"APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.18518."}