{"as_of":"2026-08-16T06:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:810a1015c7b8d5a943e23bd40bdd690a2e8d995ca72918e82f1ca56298cace31","coverage":[{"denominator":62,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":62,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:10:15.389694Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T21:13:03.346422Z","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":"2026-06-29T21:13:59.476823Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"cited_work":{"arxiv_id":"2507.14447","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.14447","snapshot_observed_at":"2026-06-29T21:13:59.476823Z","title":"Routine: A structural planning framework for llm agent system in enterprise","venue":null,"work_id":"4e1bc81c-4fbe-4b8b-ac6e-f86f5c1e2040","year":2025},"citing_paper":{"arxiv_id":"2603.09002","last_updated":"2026-04-26T14:13:48Z","snapshot_observed_at":"2026-08-14T21:45:56.224919Z","submitted_at":"2026-03-09T22:46:27Z","title":"Security Considerations for Multi-agent Systems","version":2},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-05-15T14:12:14.160789Z"},"links":{"cited_paper":"/paper/2507.14447","citing_paper":"/paper/2603.09002"},"observation_digest":"sha256:d3bfb8b9a977e99183643ab9e52c9552087ea6f62d733bee51e6d79be2f53744","observation_id":"78d85279-aa13-437f-a163-a8b064e4fa4a","resolution":{"observed_at":"2026-05-15T14:15:55.246825Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"cited_work":{"arxiv_id":"2507.14447","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.14447","snapshot_observed_at":"2026-06-29T21:13:59.476823Z","title":"Routine: A structural planning framework for llm agent system in enterprise","venue":null,"work_id":"4e1bc81c-4fbe-4b8b-ac6e-f86f5c1e2040","year":2025},"citing_paper":{"arxiv_id":"2604.11378","last_updated":"2026-04-13T12:16:45Z","snapshot_observed_at":"2026-08-11T15:31:18.082500Z","submitted_at":"2026-04-13T12:16:45Z","title":"From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T15:21:56.818914Z"},"links":{"cited_paper":"/paper/2507.14447","citing_paper":"/paper/2604.11378"},"observation_digest":"sha256:0afccb2904d27329c13a51345c94e9416aacd5401bca5aed69fd786193d6e42e","observation_id":"2f4cb30e-3795-4004-8749-5e919598d778","resolution":{"observed_at":"2026-05-11T10:41:05.305029Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"cited_work":{"arxiv_id":"2507.14447","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.14447","snapshot_observed_at":"2026-06-29T21:13:59.476823Z","title":"Routine: A structural planning framework for llm agent system in enterprise","venue":null,"work_id":"4e1bc81c-4fbe-4b8b-ac6e-f86f5c1e2040","year":2025},"citing_paper":{"arxiv_id":"2605.07339","last_updated":"2026-08-12T11:49:34Z","snapshot_observed_at":"2026-08-15T23:09:24.698551Z","submitted_at":"2026-05-08T06:44:11Z","title":"Tools as Continuous Flow for Evolving Agentic Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T01:30:19.859374Z"},"links":{"cited_paper":"/paper/2507.14447","citing_paper":"/paper/2605.07339"},"observation_digest":"sha256:90acc4f6194693c792a7ebc54a313b6b766ad294c0553c8723bf175b78874b92","observation_id":"278dcdac-3774-4b1b-9023-691b37f23c7d","resolution":{"observed_at":"2026-05-11T01:45:51.744076Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"cited_work":{"arxiv_id":"2507.14447","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.14447","snapshot_observed_at":"2026-06-29T21:13:59.476823Z","title":"Routine: A structural planning framework for llm agent system in enterprise","venue":null,"work_id":"4e1bc81c-4fbe-4b8b-ac6e-f86f5c1e2040","year":2025},"citing_paper":{"arxiv_id":"2605.26302","last_updated":"2026-05-25T19:55:12Z","snapshot_observed_at":"2026-08-15T15:12:31.912423Z","submitted_at":"2026-05-25T19:55:12Z","title":"Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-29T21:13:03.346422Z"},"links":{"cited_paper":"/paper/2507.14447","citing_paper":"/paper/2605.26302"},"observation_digest":"sha256:057a04500386bf8e36cd8eefcedc7af57172a817a2cd7c158de70431f82d0c29","observation_id":"09472f12-98b0-494a-b470-4c6289969136","resolution":{"observed_at":"2026-06-29T21:13:59.478275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.14447/citation-record","integrity":"/paper/2507.14447/integrity","json":"/paper/2507.14447/citation-record.json","paper":"/paper/2507.14447"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:10:17.271930Z","title":"An Introduction to MultiAgent Systems","venue":null,"work_id":"07ecac42-3856-439d-a8c4-76948e248da9","year":2009},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:11.279363Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:03934d4cfafcfe5d61a0c32718c14e494365934c5d45fa3d11d0c20cd316ad47","observation_id":"b6088779-ad0c-4747-9711-2d69a8a75595","resolution":{"observed_at":"2026-08-06T16:10:17.277742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:11.395376Z","title":"A survey on large language model based autonomous agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:11.395376Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:4910f1bc8ef1fdb6d86b3fd0d70b3eac09dc46239d8412c976895a6b2687e14e","observation_id":"138659bb-5d30-4bda-85e6-85bf5a52f3fc","resolution":{"observed_at":"2026-08-06T16:10:11.395376Z","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":"2026-08-06T16:10:11.586151Z","title":"Data interpreter: An llm agent for data science, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:11.586151Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:88300e85820e3e274b2351fb5be2d56f27f165bc271f3e9710d7ae24e86d44d1","observation_id":"bc9a5e7f-784d-4b40-90c8-abb863ed9592","resolution":{"observed_at":"2026-08-06T16:10:11.586151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15334","last_updated":"2023-05-24T16:48:11Z","snapshot_observed_at":"2026-08-14T14:07:14.900729Z","submitted_at":"2023-05-24T16:48:11Z","title":"Gorilla: Large Language Model Connected with Massive APIs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15334","snapshot_observed_at":"2026-08-06T16:10:11.753964Z","title":"Patil, Tianjun Zhang, Xin Wang, and Joseph E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:11.753964Z"},"links":{"cited_paper":"/paper/2305.15334","citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:4761859c240228883dfe945e2fec664b02592c80e51753913a54d55c51bbd6df","observation_id":"cf96b71b-04f2-40fa-9b4d-107a70fdf08a","resolution":{"observed_at":"2026-08-06T16:10:11.753964Z","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":"2026-08-06T16:10:17.208016Z","title":"Extracting knowledge graphs from user stories using langchain, 2025","venue":null,"work_id":"1a02426b-402e-48ae-9451-a6c60b2c40c4","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:11.929535Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:3af10a97770310846ce50615d5c233fdd68b73d15619adbf26372c8f3336f12b","observation_id":"ce47fe08-04f2-4e24-89e2-9df894656bf7","resolution":{"observed_at":"2026-08-06T16:10:17.214251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:17.180329Z","title":"From mind to machine: The rise of manus ai as a fully autonomous digital agent, 2025","venue":null,"work_id":"43bebea1-54bd-48a5-b851-dcca8986cdf9","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.062411Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:2a6051d063772bda4fce2030e3b3ac4bc70c56d99cd26b0e19201428cec591ff","observation_id":"9d622d44-41f7-4c8c-836b-e4daabaf7d95","resolution":{"observed_at":"2026-08-06T16:10:17.190687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:17.152605Z","title":"Orchestrating agents and data for enterprise: A blueprint architecture for compound ai, 2025","venue":null,"work_id":"54b62c75-f91a-43b2-a413-e37f00bcd1b9","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.120297Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:f1a6ef23f56eaac1f5fdc22f5eddde18d2bf85c0ce263855b37217ae7ec6f2bb","observation_id":"ef10b2c2-b96c-4ac0-ad67-44166c968fd9","resolution":{"observed_at":"2026-08-06T16:10:17.157709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:17.112277Z","title":"Flowbench: Revisiting and benchmarking workflow-guided planning for llm-based agents, 2024","venue":null,"work_id":"db2f7705-4cbd-4709-b10a-6038e92e51a1","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.178231Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:c4cf0397398f83dd208c7b85954443b55a9ae831c7e9e47022852bfdb18cbd28","observation_id":"44e77f06-d690-46f9-a845-770bc9f9b1d0","resolution":{"observed_at":"2026-08-06T16:10:17.135824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:17.091305Z","title":"Reducing tool hallucination via reliability alignment, 2025","venue":null,"work_id":"d4403ec9-b760-4d0f-bfc7-5e14346e4517","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.228430Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:5270ad0aaff474d7a8ad56dd10099790eac1dddfceb46f50c312f5837d0eeb09","observation_id":"75fa2dc9-7c84-4df7-b7cb-9478dee1437d","resolution":{"observed_at":"2026-08-06T16:10:17.098034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:17.069078Z","title":"Flowmind: Automatic workflow generation with llms, 2024","venue":null,"work_id":"69971fe2-8b31-4279-ab21-564b729ffe7a","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.293724Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:4ca5caf3874d201fab6ab172989ba46d00dbc40cb7a98a1e9904f1780783fb57","observation_id":"b735ed0b-dc2c-4b4d-bbff-082b531cd32c","resolution":{"observed_at":"2026-08-06T16:10:17.077196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:17.034182Z","title":"Beyond snippet assistance: A workflow-centric framework for end-to-end ai-driven code generation","venue":null,"work_id":"09070ca6-7681-4f24-bb0b-f5cd70de608e","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.407705Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:3f6116a6ff65f2923c87af241e8cf8a6f92724fa276066fbbf3573e34224c09f","observation_id":"51ed6e9d-f741-4d0a-9d73-d7b791341b1f","resolution":{"observed_at":"2026-08-06T16:10:17.041514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:17.008596Z","title":"From words to workflows: Automating business processes, 2024","venue":null,"work_id":"567d4bd6-8604-4517-b196-014a42be0e1d","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.523930Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:31ee6421afad99e3f6a245d7925210eb5fcda45ea17a2486d69044ba8eb52ca9","observation_id":"a4acc481-7fff-4fba-9a35-ee57f3c0fdb2","resolution":{"observed_at":"2026-08-06T16:10:17.014451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.984077Z","title":"Shah, and Christopher Re","venue":null,"work_id":"675001f9-3a03-45bd-a2c7-f06b4d21e0fd","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.633188Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:0adf6631402c40ca8d756b9ac9bbcb6758f3a9a3f1994477156bdecd867dfc51","observation_id":"27189118-e83b-4569-84dc-baec93140a0e","resolution":{"observed_at":"2026-08-06T16:10:16.990533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.944074Z","title":"Ida: Breaking barriers in no-code ui automation through large language models and human-centric design, 2024","venue":null,"work_id":"956b5bc8-6722-49de-9114-4a15bfc603a8","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.748314Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:4c06809ae8eb336216207817c4ab39280ce518dd6078d981e23cf64cae9e9814","observation_id":"b55ec1ae-2f02-4d75-8559-ab58415b2721","resolution":{"observed_at":"2026-08-06T16:10:16.959872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.917466Z","title":"Using reasoning for routine generation","venue":null,"work_id":"ea40efdf-4d5b-4681-a466-fe13b940f4fc","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.865356Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:3fea4f1671d1a8835cb4425d2e41e5aa90e64ce70bcaff31815a366c66a61160","observation_id":"31b28869-1f39-4066-8c85-d913798cf78b","resolution":{"observed_at":"2026-08-06T16:10:16.926394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.885834Z","title":"Tool-planner: Task planning with clusters across multiple tools, 2025","venue":null,"work_id":"a64bc647-0521-4834-b2e4-76fe7e912f3b","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:12.977933Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:5fd6f2d374aeb595af56b79289653fae26f9773e0734daf53715d9b74eacb474","observation_id":"f0d154bf-72a0-446b-9a3e-ed7741db944b","resolution":{"observed_at":"2026-08-06T16:10:16.898429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.856886Z","title":"Towards large language model-based personal agents in the enterprise: Current trends and open problems","venue":null,"work_id":"07e0ac73-baea-4356-90f0-9dce3845fa35","year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.091403Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:a737f0501d7303d70238b56d44fda26f1ad74dc602102dc06d0208bb3026a7bc","observation_id":"01f84f23-8120-4934-9b56-f155409cb30d","resolution":{"observed_at":"2026-08-06T16:10:16.862851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:13.166258Z","title":"Auto-gpt for online decision making: Benchmarks and additional opinions, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.166258Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:156e77d7b0b32b70b44cb468adc45a975cde60b2a7b40a2b61bd91107d5c4b2f","observation_id":"5a81b5c7-79ab-461b-8b76-0fffc7f03400","resolution":{"observed_at":"2026-08-06T16:10:13.166258Z","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":"2026-08-06T16:10:13.287762Z","title":"Multi-agent collaboration: Harnessing the power of intelligent llm agents, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.287762Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:7c4b292a3eab31adb6496ad527076431bfba8928d8f9054fa8095f1472ff2cfd","observation_id":"18f351d0-9227-4ec5-a82f-2f7903ade126","resolution":{"observed_at":"2026-08-06T16:10:13.287762Z","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":"2026-08-06T16:10:13.380682Z","title":"Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.380682Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:77102339ad38ad5f37d9aa48291b338a9ffb1385a1a130c140be15bc490f746d","observation_id":"ebb86ed9-31b1-40e0-a6de-833b073aa017","resolution":{"observed_at":"2026-08-06T16:10:13.380682Z","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":"2026-08-06T16:10:16.773580Z","title":"Chang and Longling Geng","venue":null,"work_id":"997b7a67-8fcd-4cd5-84b8-ca0e7bf67beb","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.473517Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:22e5c258e243c671e89898276987711c9c398bf0a15c72f83a90a7d13407b085","observation_id":"6a24815e-e9cd-4201-9f27-eafb2fcf2fb8","resolution":{"observed_at":"2026-08-06T16:10:16.785733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.748763Z","title":"Agentif: Benchmarking instruction following of large language models in agentic scenarios, 2025","venue":null,"work_id":"af8939cd-2849-49a0-9a62-047fc66fccb8","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.552263Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:ab2b9d98277353f4632c19ed13302ce4934dc26b4859eca5e8bc96b069eeece4","observation_id":"27d2a5b7-5c83-4c39-af95-2d63729d44cb","resolution":{"observed_at":"2026-08-06T16:10:16.755293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.729211Z","title":"The cost of dynamic reasoning: Demystifying ai agents and test-time scaling from an ai infrastructure perspective, 2025","venue":null,"work_id":"8eef5784-31c5-4a12-b5bb-66c971184005","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.639337Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:c0076759c5dafd430b851760667e5ee14fc6a0eaa2258533556c2f971ad5aacc","observation_id":"73876b32-8d5e-4c03-aaac-65868252651d","resolution":{"observed_at":"2026-08-06T16:10:16.734792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.708022Z","title":"Runaway is ashamed, but helpful: On the early-exit behavior of large language model-based agents in embodied environments, 2025","venue":null,"work_id":"32efe8cc-78bc-458a-8d21-49b2df8bce9f","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.742384Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:355c42f32fd75c0ccd44d6258db1a216599a5bc48b5eace30855ec1df2e8c224","observation_id":"2cb389c6-4762-48d1-92b8-d73626604cd1","resolution":{"observed_at":"2026-08-06T16:10:16.713413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.683805Z","title":"Manus: Markerless grasp capture using articulated 3d gaussians, 2024","venue":null,"work_id":"a072c326-da8e-48d6-8a8c-8017fd5d486a","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.821265Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:31fc0cf4824d3f117566fc3189d168c4191fd4a3b9566aff03be3263aed27f41","observation_id":"4837aad5-fe26-4090-a37b-fae20a6ad284","resolution":{"observed_at":"2026-08-06T16:10:16.690118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:13.897049Z","title":"Agentorchestra: A hierarchical multi-agent framework for general-purpose task solving, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:13.897049Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:16554594a1319c3d9bec8ab57c807f3055c891f51ed0597f6e34721bf5646dec","observation_id":"a99f8686-93d6-48fc-82e2-4b717532b8dc","resolution":{"observed_at":"2026-08-06T16:10:13.897049Z","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":"2026-08-06T16:10:16.635648Z","title":"ReAct: Synergizing reasoning and acting in language models","venue":null,"work_id":"f480f2f6-72e7-4222-ac10-34b2f33887a1","year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.002213Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:b781aed3dc4bc960097d8817939b0b899aa0cfc503d7404b744b87322a5650df","observation_id":"615490c6-e2c5-401b-9065-f6e1aee0e4c6","resolution":{"observed_at":"2026-08-06T16:10:16.643769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.598323Z","title":"Plan-and-act: Improving planning of agents for long-horizon tasks, 2025","venue":null,"work_id":"41bbec4b-d4b4-4a33-b2fc-b0587bbfb52d","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.139507Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:f772d886474de33d98430e188cbc571192738bf35289165ad43eddf1f91a0b82","observation_id":"bc255fc3-2739-41c9-8c54-bc2709c55ed7","resolution":{"observed_at":"2026-08-06T16:10:16.607309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.573710Z","title":"Le, Ed H","venue":null,"work_id":"643c8327-aa2b-4a6a-a9aa-17a897257696","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.205608Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:06d54f772c101cee105a90bd6014ca98d23a0c95c28195224bd72dab35a8e574","observation_id":"3c2941a0-1e71-46b6-b2b8-f521b9d18fc3","resolution":{"observed_at":"2026-08-06T16:10:16.582524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.554721Z","title":"Nl2plan: Robust llm-driven planning from minimal text descriptions, 2024","venue":null,"work_id":"643251a2-194b-4c9a-a251-f51d1c4044ac","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.326742Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:11ea79f95601c32aaa1007f6b774b581e4f0c86a869536f85310e3f29e2a49c7","observation_id":"4ee96b6e-3859-4e48-92fe-1a8b7a4ac32d","resolution":{"observed_at":"2026-08-06T16:10:16.560614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.523377Z","title":null,"venue":null,"work_id":"2512c8cc-1ce0-4d68-a327-fb753e4060ba","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.340105Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:905528cbd0ce5f1f87496afebaf2134cfe5b35a795a3cbfd7cb0791276bce147","observation_id":"b6e827ac-db26-4a9c-aebe-b3ec6011ddd6","resolution":{"observed_at":"2026-08-06T16:10:16.531872Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:14.399768Z","title":"Chain-of-thought prompting elicits reasoning in large language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.399768Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:dcaa0f892dc166c6a8d8bbaa2309e4fc4abb4f3728ec331467d8f78261d5f4b0","observation_id":"d2416ff6-14e2-4e12-a182-f0ccfb88ce9d","resolution":{"observed_at":"2026-08-06T16:10:14.399768Z","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":"2026-08-06T16:10:16.476768Z","title":null,"venue":null,"work_id":"23069ef3-d06e-48ff-99f8-831760a59303","year":2022},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.552406Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:5b6649583cb0d3b62026f0a66c86fa6aa1327a7fd4ce6b494e1e2f8d1db5bbf9","observation_id":"e93d50d4-8853-4590-99d8-85419d0f9854","resolution":{"observed_at":"2026-08-06T16:10:16.485450Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:14.677562Z","title":"Smith, Daniel Khashabi, and Hannaneh Hajishirzi","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.677562Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:ebbe9f43eb9a93da109675244f5c72f76d6eae0d4fd86d7f87870e16acb9f50c","observation_id":"848a539a-a3cb-402d-9d14-df5673184ed9","resolution":{"observed_at":"2026-08-06T16:10:14.677562Z","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":"2026-08-06T16:10:16.423582Z","title":null,"venue":null,"work_id":"2395724d-605f-4c2b-9d0d-bc0f611f5931","year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:14.879763Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:1dea764f4f6a65675af28d7c835d9ed6b75b1debe0a9f89809b21b7e8a0a4262","observation_id":"bd7dabdb-1389-4e37-bf80-70947c8e64d5","resolution":{"observed_at":"2026-08-06T16:10:16.431327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.391993Z","title":null,"venue":null,"work_id":"12843ae8-4784-4295-a106-195ae6edf01b","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.045030Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:9bc06ee2eddcacaf1aed478b3fe9926462dda21c8e0dd55e99f15aa12d78cffc","observation_id":"1d006c9d-53da-4064-b1be-44c2fd56d4be","resolution":{"observed_at":"2026-08-06T16:10:16.401472Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.369122Z","title":"Zhang, H","venue":null,"work_id":"847c4161-0354-451e-a65f-21a40acc76bd","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.151419Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:e64aff608242fffa1d45df2c15145ab20a498e740b089b2e859e54eb648a5a64","observation_id":"1838df93-fd54-47cc-be84-a5e968f79dc1","resolution":{"observed_at":"2026-08-06T16:10:16.378535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17063","last_updated":"2025-05-18T05:35:13Z","snapshot_observed_at":"2026-08-15T20:35:42.861896Z","submitted_at":"2025-05-18T05:35:13Z","title":"Synthetic Data RL: Task Definition Is All You Need","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.17063","snapshot_observed_at":"2026-08-06T16:10:15.160284Z","title":"Synthetic data rl: Task definition is all you need","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.160284Z"},"links":{"cited_paper":"/paper/2505.17063","citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:25cbe4045ad2c834ba949c087534c6a97874bfaee2b6b0a33a9c5baba99d29d3","observation_id":"f1ed5885-b819-4dcc-9787-d2ae736e12dc","resolution":{"observed_at":"2026-08-06T16:10:15.160284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.16789","last_updated":"2023-10-03T14:45:48Z","snapshot_observed_at":"2026-08-16T04:18:30.717622Z","submitted_at":"2023-07-31T15:56:53Z","title":"ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.16789","snapshot_observed_at":"2026-08-06T16:10:15.166234Z","title":"Griffiths","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.166234Z"},"links":{"cited_paper":"/paper/2307.16789","citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:b9446953f2f044cc20f6031a1487d6692eaf66054f6307d84c9b2834600fcec8","observation_id":"b8bd0de1-9624-453c-9539-bcbc264d6257","resolution":{"observed_at":"2026-08-06T16:10:15.166234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00920","last_updated":"2025-07-25T08:26:54Z","snapshot_observed_at":"2026-08-12T22:53:24.614753Z","submitted_at":"2024-09-02T03:19:56Z","title":"ToolACE: Winning the Points of LLM Function Calling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00920","snapshot_observed_at":"2026-08-06T16:10:15.178297Z","title":"Toolace: Winning the points of llm function calling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.178297Z"},"links":{"cited_paper":"/paper/2409.00920","citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:1fab49e445856894dd43cc6018147cdb2ef8c50853ac8d7b6906639fa4704354","observation_id":"27a1254a-e5df-4d3b-9bd7-915e68f0de69","resolution":{"observed_at":"2026-08-06T16:10:15.178297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05301","last_updated":"2023-09-07T12:20:45Z","snapshot_observed_at":"2026-08-11T16:55:59.039497Z","submitted_at":"2023-06-08T15:46:32Z","title":"ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05301","snapshot_observed_at":"2026-08-06T16:10:15.185452Z","title":"Toolalpaca: Generalized tool learning for language models with 3000 simulated cases","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.185452Z"},"links":{"cited_paper":"/paper/2306.05301","citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:06b98bf20b2613f54f53714ec7be28312493a3a75696c8f70faa21e62ff93c91","observation_id":"95f82faf-1a2d-49e9-bfa0-3155ac89a5c5","resolution":{"observed_at":"2026-08-06T16:10:15.185452Z","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":"2026-08-06T16:10:16.344725Z","title":"Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets","venue":null,"work_id":"e3815f03-758f-45b2-b291-98abb392198c","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.192943Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:cbf803b34ef00978478a00a64dc6c213d65329f1abbab50fb2d2b4d21ebe08c6","observation_id":"687af844-9f01-4390-9210-f737c1b56f84","resolution":{"observed_at":"2026-08-06T16:10:16.350931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.313251Z","title":"Kimi-k2: An agentic framework for tool-augmented language models, 2024","venue":null,"work_id":"9738199a-62c6-428c-9dda-7424a59065f1","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.200146Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:1fd80008808f179e6402afbc5893f491075d5aedf3bc69ea51e28996bb9bc1d7","observation_id":"9314cf69-1670-4ea1-9949-f5cfb2d1e4ae","resolution":{"observed_at":"2026-08-06T16:10:16.329061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-14T22:57:08.956233Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-06T16:10:15.216995Z","title":"Distilling the knowledge in a neural network","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.216995Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:f6147853766e9a8d31d2481f1f0ced13ff785a9033a1d61e604fb7a2585e106f","observation_id":"cbb387d0-01b8-44ac-b32a-e53105edf52f","resolution":{"observed_at":"2026-08-06T16:10:15.216995Z","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":"2026-08-06T16:10:16.277465Z","title":"Adaptable and precise: Enterprise- scenario llm function-calling capability training pipeline, 2024","venue":null,"work_id":"78dd5b15-0949-4340-aee4-b22cb001b697","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.226189Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:883f54db1766186701141573eee93968cb343d5d2f5f7fded39c35290f7c87cc","observation_id":"5de3316b-c453-4b6d-84ee-fcc8f5efbb8f","resolution":{"observed_at":"2026-08-06T16:10:16.284517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.251733Z","title":"Tool learning with large language models: a survey","venue":null,"work_id":"b3d459c0-805f-41fb-afed-7b52760f1511","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.244668Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:9bf71d44ba7e7be3b9ec321d877bc5be072d02a3b8fd301873949b446fedae32","observation_id":"00eca2dc-002d-4380-8dc2-4af392178a18","resolution":{"observed_at":"2026-08-06T16:10:16.258598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.230867Z","title":"Redefining enterprise data management with ai-powered automation, 2024","venue":null,"work_id":"04615e89-ee98-46a2-8a68-9fec7211f77f","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.252989Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:3c219772bfa36300a8306041f52746fbdfe365c7df5477f11105eb65d6399ffc","observation_id":"9056b4b6-6259-48fc-99e4-cd9292fcf6f1","resolution":{"observed_at":"2026-08-06T16:10:16.235860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.208969Z","title":"Ai-powered decision intelligence in enterprise systems engineering, 2025","venue":null,"work_id":"05f63e4f-958f-41e5-9c8d-3530248f544f","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.259352Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:dcaa4a4ab5c6f5c3bf06bef09a6939fd9a727802acfc4f0047f661aa68f2101d","observation_id":"550ec226-58a4-4aa4-81b4-839b72ee032c","resolution":{"observed_at":"2026-08-06T16:10:16.214259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.146842Z","title":"Ai-driven innovations in enterprise systems, 2025","venue":null,"work_id":"732ee18a-9edd-4908-a330-f2f7f73340e3","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.267737Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:d17b090d36de68dcc996c14c255d8045f7d1c1cb3be6660ea422e62ecbec31dd","observation_id":"f525d53e-78af-4407-99a7-e2e4cd6a8365","resolution":{"observed_at":"2026-08-06T16:10:16.190233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.118575Z","title":"Integrating artificial intelligence in enterprise architecture, 2025","venue":null,"work_id":"a45cb21d-960d-43f8-8de2-d1a7b9a5d604","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.274510Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:d43825f059d67ba0e0df7f59b227664b9dc3d8aa2e758c194a4f450703337f61","observation_id":"83a18a37-bbb4-4519-964c-289e55695fd8","resolution":{"observed_at":"2026-08-06T16:10:16.127440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:15.279456Z","title":"Mcp-radar: A multi-dimensional benchmark for evaluating tool use capabilities in large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.279456Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:970c1196cab6e7a7acfbe136977f128d13f681e38395b050c341fd227ed006f7","observation_id":"6804fa6b-04bf-48f2-bf43-363374bf1126","resolution":{"observed_at":"2026-08-06T16:10:15.279456Z","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":"2026-08-06T16:10:16.092858Z","title":"A survey on progress in llm alignment from the perspective of reward design, 2025","venue":null,"work_id":"ee156293-71a9-4b26-89de-9c91d718d32d","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.287214Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:93c750e80fb89ef5c9a2289a4e7b10d01b2c64c9242a2c39ddffbe29f70157d2","observation_id":"2351cf8e-cddd-4c6c-ac61-f3642d31eeea","resolution":{"observed_at":"2026-08-06T16:10:16.099345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.070316Z","title":"Longfunceval: Measuring the effective- ness of long context models for function calling, 2025","venue":null,"work_id":"6bffe0cf-b375-4b99-b561-3fb5de828e2d","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.296299Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:70831fb416379bbee1931118f2bf72e98f2703caaf021770d08e61ab48725a34","observation_id":"bcf165ef-5e83-44eb-ae34-b6691cfa35e7","resolution":{"observed_at":"2026-08-06T16:10:16.078285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.042792Z","title":"Evaluating large language models in vulnerability detection under variable context windows, 2025","venue":null,"work_id":"13cbd370-3412-49ca-9925-6576a8eba1b1","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.304205Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:ae8868c7643209d4b7fab1b695dd70036daa992189b33749665159bc34cd11bc","observation_id":"f1060d8b-8eaf-4d77-b42f-f566c7817885","resolution":{"observed_at":"2026-08-06T16:10:16.050092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:16.018999Z","title":"Knowledge injection via prompt distillation, 2024","venue":null,"work_id":"fc7fd055-cf74-4db0-b470-2b6c3d792a2d","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.328598Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:41154fe3c2cbb43ac7c12aa5aa3e353fdf517bb81a759342ff469a7daa2da60a","observation_id":"3d544939-a646-4880-a3b3-558cc5b9e7a7","resolution":{"observed_at":"2026-08-06T16:10:16.028081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:15.987988Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Lu Wang","venue":null,"work_id":"7cc3a36d-8597-4183-a29b-dd90203c4d76","year":2022},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.335868Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:e008f21c36b9346038eecbb32ebaa65ddd75a60e440a60e9f11b7421b88feda9","observation_id":"98d4b382-b20e-4620-bce0-c23daba741c2","resolution":{"observed_at":"2026-08-06T16:10:15.997511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:15.340378Z","title":"Zero: Memory optimiza- tions toward training trillion parameter models, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.340378Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:0f2f18487ec3c5a52fa9ee807c567581c1d56ac46948c09b36751606dc1e6bd4","observation_id":"a6856d81-0fa8-4f30-a276-a08880a65e64","resolution":{"observed_at":"2026-08-06T16:10:15.340378Z","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":"2026-08-06T16:10:15.352873Z","title":"Flashattention-2: Faster attention with better parallelism and work partitioning, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.352873Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:f73d61010b5f181144c0123dd972b767a7233f6e2ffad00103c3e14fc9bf8765","observation_id":"0e82a6fd-d483-481f-a2b7-a418320e8429","resolution":{"observed_at":"2026-08-06T16:10:15.352873Z","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":"2026-08-06T16:10:15.923925Z","title":"Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E","venue":null,"work_id":"d8ee01d2-161d-45e1-90c7-855c2fd3e7af","year":2024},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.361730Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:1da8c980d41faff0c443a93e8ef4263cc8885284226a550b8ee2962a4bb98639","observation_id":"5a45c7d3-c93a-4f71-b874-1c1180e7ba02","resolution":{"observed_at":"2026-08-06T16:10:15.930508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:15.887784Z","title":null,"venue":null,"work_id":"8d6e71a9-6e3c-4e68-a41a-01823098992f","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.371237Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:6121b7bda804ccb09903c1da89b20e6be30e5da27cebc3c2f0eb447788bfd82c","observation_id":"1e414925-70a0-4855-9442-00fd7632730c","resolution":{"observed_at":"2026-08-06T16:10:15.895426Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T16:10:15.834944Z","title":"Evaluating llm-based agents for multi-turn conversations: A survey, 2025","venue":null,"work_id":"6134767d-4425-4870-b960-a9e016588f50","year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.381784Z"},"links":{"citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:49c8407b07bfed08f17df6b26bdac9d77a1e559627fea480ab4f0a178ffcbaa5","observation_id":"2806184a-149b-4761-add7-1b28e74c7abd","resolution":{"observed_at":"2026-08-06T16:10:15.843138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00432","last_updated":"2025-10-20T14:27:09Z","snapshot_observed_at":"2026-08-13T07:07:37.346433Z","submitted_at":"2025-07-01T05:23:05Z","title":"Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00432","snapshot_observed_at":"2026-08-06T16:10:15.389694Z","title":"step\": \"1","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T16:10:15.389694Z"},"links":{"cited_paper":"/paper/2507.00432","citing_paper":"/paper/2507.14447"},"observation_digest":"sha256:752f3a0a76e93e3fe25fd4181bffeaa14036bc75a141e38e452a182b28dbc14d","observation_id":"a58b4eb6-cb52-4819-8e9e-56a11d3fcc57","resolution":{"observed_at":"2026-08-06T16:10:15.389694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.14447","last_updated":"2025-07-22T10:01:32Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-15T09:05:49.263600Z","submitted_at":"2025-07-19T02:46:19Z","title":"Routine: A Structural Planning Framework for LLM Agent System in Enterprise"},"reference_resolution":{"displayed":62,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":39},"total_outbound_references":62},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 4 inbound Pith citation observations for arXiv:2507.14447."}