{"as_of":"2026-08-07T18:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c82955b79c66b128de01c4fe3fe6ed7203bf5234a70c283f6c138ba33c96fb6c","coverage":[{"denominator":9,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-09T21:02:40.968352Z","state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.07052/citation-record","integrity":"/paper/2607.07052/integrity","json":"/paper/2607.07052/citation-record.json","paper":"/paper/2607.07052"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.12472","last_updated":"2025-06-23T02:40:16Z","snapshot_observed_at":"2026-08-06T23:20:32.020895Z","submitted_at":"2025-06-23T02:40:16Z","title":"A Survey of AIOps in the Era of Large Language Models","version":1},"cited_work":{"arxiv_id":"2507.12472","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.12472","snapshot_observed_at":"2026-07-09T21:06:34.881505Z","title":"A Survey of AIOps in the Era of Large Language Models","venue":"cs.SE","work_id":"8000d5b3-17fc-432f-9988-c77151bdd1ed","year":2025},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"cited_paper":"/paper/2507.12472","citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:68b1de7a7d0ce40b720340dfd4e7b4e2fef7ac2ffba08737446496e4caf0a935","observation_id":"613701be-733a-452c-a35d-a643afa52ecc","resolution":{"observed_at":"2026-07-09T21:06:34.883207Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.09122","last_updated":"2026-06-08T07:15:53Z","snapshot_observed_at":"2026-08-06T22:53:42.131575Z","submitted_at":"2026-06-08T07:15:53Z","title":"Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations","version":1},"cited_work":{"arxiv_id":"2606.09122","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.09122","snapshot_observed_at":"2026-07-09T21:06:34.878242Z","title":"Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations","venue":"cs.SE","work_id":"02f3e45f-8420-43af-bd4b-a1c33b6a1372","year":2026},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"cited_paper":"/paper/2606.09122","citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:f8dbcd0cd6c9402bb88b9b8781dbda78a10c525b122055c7488091e57ee38cb5","observation_id":"aecc3366-b8ac-413b-b9b4-f3f7b58970b8","resolution":{"observed_at":"2026-07-09T21:06:34.880060Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-09T21:06:34.921694Z","title":"ReAct: Synergizing reasoning and acting in language models,","venue":null,"work_id":"32012c4b-ee8c-42da-93ad-799c8031f554","year":2023},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:560407d38544fca9186a875f62b8a3a8435beb6196eaa5b82d06264ca4197f25","observation_id":"d4e6d5fb-4512-4ba2-a569-93a921d68561","resolution":{"observed_at":"2026-07-09T21:06:34.923065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-09T21:06:34.917390Z","title":"Toolformer: Language models can teach themselves to use tools,","venue":null,"work_id":"abcb742a-6b76-49a3-8ee1-8e58c13e016c","year":2023},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:3efb1cdd834ae9a72a7e09de1c47d560090f6e4b1658014696731cb09019b6d6","observation_id":"a1b36db3-a1e4-455c-848d-8ea746769ce2","resolution":{"observed_at":"2026-07-09T21:06:34.918936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07864","last_updated":"2023-09-19T08:29:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-14T17:12:03Z","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","version":3},"cited_work":{"arxiv_id":"2309.07864","doi":"10.1186/s12912-025-04245-9","metadata_source":"pith","pith_arxiv_id":"2309.07864","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","venue":"cs.AI","work_id":"985ca219-7e34-4c4f-bdc5-ccd39763ad61","year":2023},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"cited_paper":"/paper/2309.07864","citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:e500750bd564b09462e43233a43bb3d83b10db7750810fcf3513e9df429ec5c6","observation_id":"6e11aec9-3d4b-45cf-b6ea-9e0839b29438","resolution":{"observed_at":"2026-07-09T21:06:34.886497Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-09T21:06:34.925604Z","title":"Wooldridge,An Introduction to MultiAgent Systems, 2nd ed","venue":null,"work_id":"a2e5c11f-3b55-4973-a004-a6b5268c1a3b","year":2009},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:00f3488fdefba97073c80201a6b4b698846b3c4cdb8e225cbfd4e8086e2e4bce","observation_id":"0db01588-b064-4f73-8d3e-439cc2155bc2","resolution":{"observed_at":"2026-07-09T21:06:34.926985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-09T21:06:34.923691Z","title":"A survey of AIOps methods for failure management,","venue":null,"work_id":"f60d66d4-ed27-4748-959c-a55a8452fc35","year":2021},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:f65745645b467368e37f1f90b0695f2a24307941ec9cc8a112ce9e2a076da107","observation_id":"b65d6e3f-77cd-44a9-b08e-274998116e54","resolution":{"observed_at":"2026-07-09T21:06:34.925002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.05176","last_updated":"2023-05-09T05:11:02Z","snapshot_observed_at":"2026-07-31T18:33:34.529799Z","submitted_at":"2023-05-09T05:11:02Z","title":"FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance","version":1},"cited_work":{"arxiv_id":"2305.05176","doi":"10.48550/arxiv.2305.05176","metadata_source":"pith","pith_arxiv_id":"2305.05176","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance","venue":"cs.LG","work_id":"5c567414-35de-4373-ae7a-1790da594e8d","year":2023},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"cited_paper":"/paper/2305.05176","citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:dea35c5c464995234908d5af8b61ebb45e0dbe0a3b04d59beb8a203668078cde","observation_id":"f47d0531-f466-4dbd-9667-129e104c45b3","resolution":{"observed_at":"2026-07-09T21:06:34.876470Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-14T18:20:20.871342+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T18:20:20.871342+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-07-10T00:06:38.419584Z","title":null,"venue":null,"work_id":"9cc11dfe-752e-46e4-a37b-d3872a4f2e60","year":2016},"citing_paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-09T21:02:40.968352Z"},"links":{"citing_paper":"/paper/2607.07052"},"observation_digest":"sha256:80264d7d7debc2629eea2be3d765f942eea9d55329b86f2f44132bf71b02feb5","observation_id":"ad8fb10d-cadd-4799-b221-cdc1ca7ef348","resolution":{"observed_at":"2026-07-09T21:06:34.921073Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.07052","last_updated":"2026-07-08T06:27:36Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-07-11T23:18:51.566358Z","submitted_at":"2026-07-08T06:27:36Z","title":"Progressive Crystallization: Turning Agent Exploration into Deterministic, Lower-Cost Workflows in Production"},"reference_resolution":{"displayed":9,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":4,"verified_fuzzy":4},"total_outbound_references":9},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2607.07052."}