{"as_of":"2026-08-04T00:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d988c0bcf438af0fd063e17df73ff68a5ea9f24c147370ef0502b022734a89d","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-09T23:42:00.548132Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-03T06:30:56.289259+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T07:21:27.065956Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.20714","snapshot_observed_at":"2026-07-14T12:26:27.446079Z","title":"Learning to evolve: A self-improving framework for multi-agent systems via textual parameter graph optimization.arXiv preprint arXiv:2604.20714, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.10350","last_updated":"2026-07-17T17:27:03Z","snapshot_observed_at":"2026-08-02T07:21:21.791047Z","submitted_at":"2026-07-11T15:24:43Z","title":"ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-14T12:26:27.446079Z"},"links":{"cited_paper":"/paper/2604.20714","citing_paper":"/paper/2607.10350"},"observation_digest":"sha256:87c8a1507e881b8f2e2c3ff433307ebcced94923f76a33e60be313ca2ca05dbc","observation_id":"2a51a2f3-d655-43c7-b305-936c163bdbab","resolution":{"observed_at":"2026-07-14T12:26:27.446079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.20714","snapshot_observed_at":"2026-08-02T07:21:27.065956Z","title":"Learning to evolve: A self-improving framework for multi-agent systems via textual parameter graph optimization.arXiv preprint arXiv:2604.20714, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.10350","last_updated":"2026-07-17T17:27:03Z","snapshot_observed_at":"2026-08-02T07:21:21.791047Z","submitted_at":"2026-07-11T15:24:43Z","title":"ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T07:21:27.065956Z"},"links":{"cited_paper":"/paper/2604.20714","citing_paper":"/paper/2607.10350"},"observation_digest":"sha256:0bedf86b473cda0aefdd6ae0cdb5bfb640ea3a861ef067a47fb216fd00b8c94b","observation_id":"929893f6-4209-4647-ac4f-d8a8f0d82141","resolution":{"observed_at":"2026-08-02T07:21:27.065956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.20714/citation-record","integrity":"/paper/2604.20714/integrity","json":"/paper/2604.20714/citation-record.json","paper":"/paper/2604.20714"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.16427","last_updated":"2023-12-07T14:39:22Z","snapshot_observed_at":"2026-07-06T16:38:13.945197Z","submitted_at":"2023-10-25T07:47:01Z","title":"PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization","version":2},"cited_work":{"arxiv_id":"2310.16427","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.16427","snapshot_observed_at":"2026-07-04T15:49:57.641018Z","title":"arXiv preprint arXiv:2310.16427 , year=","venue":null,"work_id":"3a2f8742-dbc2-4443-a9c3-df725141dcc5","year":2023},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2310.16427","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:6b5436ed7f6f2cba74c0482147b34e926a7dbe41717b23a4d4f046851ef2151d","observation_id":"c8197416-7ca2-4bd2-b704-5e1b39d0b469","resolution":{"observed_at":"2026-05-11T14:01:07.098180Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 31st International Conference on Computational Linguistics , pages=","venue":null,"work_id":"5466bb16-d3ce-4650-989b-1a86c3a4dc2e","year":null},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:c75fe71915102d5ff5d92a36943e66fb48880fad2dc797c4a4165c77b30c8ad1","observation_id":"f10b1d48-0791-4223-8f8c-29402ef1aae9","resolution":{"observed_at":"2026-05-23T12:37:59.422811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07496","last_updated":"2024-06-11T17:32:21Z","snapshot_observed_at":"2026-07-06T18:29:04.294349Z","submitted_at":"2024-06-11T17:32:21Z","title":"TextGrad: Automatic \"Differentiation\" via Text","version":1},"cited_work":{"arxiv_id":"2406.07496","doi":"10.48550/arxiv.2406.07496","metadata_source":"pith","pith_arxiv_id":"2406.07496","snapshot_observed_at":"2026-07-10T19:07:35.251943Z","title":"TextGrad: Automatic \"Differentiation\" via Text","venue":"cs.CL","work_id":"c52b4841-a4b4-4b4e-bc86-8ef6645a9bbb","year":2024},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2406.07496","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:f66fd15b2178110746e6e276cf1e36c231c518b08c8e465af9ab991b6e1fdf5c","observation_id":"50fb5681-4f0b-4408-af8c-a34ffa9e5950","resolution":{"observed_at":"2026-05-13T11:27:59.484812Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-07-14T18:20:25.209279+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T18:20:25.209279+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-07-06T20:52:54.929304Z","title":"Narasimhan and Yuan Cao , title =","venue":null,"work_id":"0716e1ac-827a-4505-b0ba-8e6430ef450e","year":2023},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:ff1fde7ed5119e80d829dc2fe57e3fbc485bbbb94bcf97be0930a909ac59798c","observation_id":"4fe32321-2f8f-4937-b977-32404fa3df60","resolution":{"observed_at":"2026-05-23T12:37:59.418977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"Chawla and Olaf Wiest and Xiangliang Zhang , title =","venue":null,"work_id":"4918faba-0a4b-4b89-86eb-61f563476a3b","year":2024},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:42b1e80e2c26073ba0c0676a8220d68605ca275cd59d760714ce36d94f41ccbf","observation_id":"4e268226-f37f-472e-b9e7-46d56997a10c","resolution":{"observed_at":"2026-05-23T12:37:59.402779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06322","last_updated":"2025-01-10T19:56:50Z","snapshot_observed_at":"2026-07-30T22:07:13.869232Z","submitted_at":"2025-01-10T19:56:50Z","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","version":1},"cited_work":{"arxiv_id":"2501.06322","doi":"10.48550/arxiv.2501.06322","metadata_source":"pith","pith_arxiv_id":"2501.06322","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","venue":"cs.AI","work_id":"34627f75-81fe-465e-bca5-d2a93270aa1d","year":2025},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2501.06322","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:d28c2ae2ca0c7f4a5839d21a29e7d5286993c9dea395fb2941d55cf6627f67f7","observation_id":"1401ba74-2aae-48ad-8e56-1585e230bcce","resolution":{"observed_at":"2026-05-13T15:54:55.141401Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-01T08:08:24.614742+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T08:08:24.614742+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6183.360676","doi":"10.1145/3586183.3606763","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"O'Brien and Carrie Jun Cai and Meredith Ringel Morris and Percy Liang and Michael S","venue":null,"work_id":"b5bf85fe-4fb7-4966-b0b2-9ccf9d3b11b9","year":2023},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:943c2ec200c321c0e228b668a46dd77469bf41c1d6c75b9d471ca00e18832001","observation_id":"14cf9c57-c47a-45da-a52f-eb481fb19a6e","resolution":{"observed_at":"2026-05-09T23:44:44.631580Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-07-18T08:21:12.695495+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-18T08:21:12.695495+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.19245","last_updated":"2025-04-21T04:40:38Z","snapshot_observed_at":"2026-07-06T19:39:28.707989Z","submitted_at":"2024-10-25T01:52:15Z","title":"MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming","version":2},"cited_work":{"arxiv_id":"2410.19245","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.19245","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2410.19245 , year=","venue":null,"work_id":"2e2bd578-dea1-44aa-b20f-5357b3b0dc30","year":null},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2410.19245","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:4d7ac4b38a47b87c20b1074feed56821623704492cbefbf9f97e7170060ddf71","observation_id":"41a17b6e-8176-48ea-a826-edc845bdeff2","resolution":{"observed_at":"2026-05-11T14:01:07.064100Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.21116","last_updated":"2025-05-27T12:36:14Z","snapshot_observed_at":"2026-07-06T21:31:20.981220Z","submitted_at":"2025-05-27T12:36:14Z","title":"Creativity in LLM-based Multi-Agent Systems: A Survey","version":1},"cited_work":{"arxiv_id":"2505.21116","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.21116","snapshot_observed_at":"2026-06-29T19:43:54.912159Z","title":"arXiv preprint arXiv:2505.21116 , year=","venue":null,"work_id":"26de2a47-343c-43d4-9ede-824552a81220","year":2025},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2505.21116","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:4b5d3816c29bb6509fdbc88ee4aa43a1e6b26a944d620c5200abaefbf4cb1785","observation_id":"60418032-e56e-4900-9b92-397ee0fbc428","resolution":{"observed_at":"2026-05-11T14:01:07.076136Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.acl-long.782","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exploring collaboration mechanisms for","venue":null,"work_id":"6832e3a4-74c9-4740-9d76-b95c02ac4788","year":2024},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:a8d21f59c6c9a3a7f165ed3961dc557d628e46fbfce0a4b4e7414599a021fef6","observation_id":"eadd0064-da00-4c12-885f-00dc23598ad9","resolution":{"observed_at":"2026-05-09T23:44:44.626299Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-07-06T02:21:49.356376Z","title":"The Twelfth International Conference on Learning Representations , year=","venue":null,"work_id":"5de70941-c7c2-4d29-9679-775f7dd66603","year":null},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:0f1537644c2c040dabb8b075a69a40d5857d3666d35ff16b474c24088597c277","observation_id":"1ff3b866-ab3d-4aa5-8c91-bba386a7dde6","resolution":{"observed_at":"2026-05-23T12:37:59.409374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.14704","last_updated":"2025-08-20T13:28:58Z","snapshot_observed_at":"2026-07-06T22:15:36.748394Z","submitted_at":"2025-08-20T13:28:58Z","title":"MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers","version":1},"cited_work":{"arxiv_id":"2508.14704","doi":"10.48550/arxiv.2508.14704","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.14704","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Luo et al","venue":null,"work_id":"b8148e6c-83f1-4051-b36f-12da866268e3","year":2025},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2508.14704","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:c34b3b88016ad78b815e76fc2d1e7bab7ce3ddee510a4cb8a8dd4a3646d80734","observation_id":"655a4ae8-3cce-4af4-8345-63cbf2fcafaa","resolution":{"observed_at":"2026-05-11T14:01:07.105970Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7ad79796-2d09-4b9a-858c-dcf9737721b7","year":null},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:ed9ca3717a9563d322a5577a30add4d8d48c3260ff53826a097f622c43b247c1","observation_id":"8ebfedda-cdc5-46a6-8489-872b286a101d","resolution":{"observed_at":"2026-05-23T12:37:59.398722Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"The Twelfth International Conference on Learning Representations , year=","venue":null,"work_id":"a197f9a8-9836-45b2-83ff-b74f5bd3bccd","year":null},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:f04ca990f7c83fcfbca93a9382d1ed2e3d4d612f9e9ae94cc01b84bb9aef45a8","observation_id":"56d7749e-62b7-404a-9d27-a2ae22018e8d","resolution":{"observed_at":"2026-05-23T12:37:59.414795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03314","last_updated":"2023-06-05T23:55:37Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-05T23:55:37Z","title":"Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents","version":1},"cited_work":{"arxiv_id":"2306.03314","doi":"10.48550/arxiv.2306.03314","metadata_source":"pith","pith_arxiv_id":"2306.03314","snapshot_observed_at":"2026-07-10T20:57:34.363547Z","title":"Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents","venue":"cs.AI","work_id":"6ed8494c-c488-407e-b9c0-61e9a411ce26","year":2023},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2306.03314","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:36265503421523665f1029d65c47af67199814a81ac2e6b3977ba379d86af604","observation_id":"04044b64-5a51-4ba2-a541-c4d7a2b066ce","resolution":{"observed_at":"2026-05-11T14:01:07.035142Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21460","last_updated":"2025-03-27T12:50:17Z","snapshot_observed_at":"2026-07-06T20:59:35.694800Z","submitted_at":"2025-03-27T12:50:17Z","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","version":1},"cited_work":{"arxiv_id":"2503.21460","doi":"10.1145/3573051.3596191","metadata_source":"pith","pith_arxiv_id":"2503.21460","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","venue":"cs.CL","work_id":"4aff48d9-c46d-41d9-904b-52251e559596","year":2025},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2503.21460","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:9b02b4be37f11bf200353d69f8a9d0627b6f5f4fbe8a80ee7f4f7f7fec6d6cc8","observation_id":"dc4861cc-2d0f-4f2c-b0af-4dbecc5be481","resolution":{"observed_at":"2026-05-11T14:01:07.052979Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.06322","last_updated":"2025-01-10T19:56:50Z","snapshot_observed_at":"2026-07-30T22:07:13.869232Z","submitted_at":"2025-01-10T19:56:50Z","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","version":1},"cited_work":{"arxiv_id":"2501.06322","doi":"10.48550/arxiv.2501.06322","metadata_source":"pith","pith_arxiv_id":"2501.06322","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Multi-Agent Collaboration Mechanisms: A Survey of LLMs","venue":"cs.AI","work_id":"34627f75-81fe-465e-bca5-d2a93270aa1d","year":2025},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2501.06322","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:36f97a9148d261a9c91c2775ae80b6891d35f9c1f2296e081d4643bd6845a533","observation_id":"31d31b94-9e13-4f42-9db6-780119fc8a4b","resolution":{"observed_at":"2026-05-13T15:54:55.141401Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-01T08:08:24.614742+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T08:08:24.614742+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07407","last_updated":"2025-08-31T14:55:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-10T16:07:32Z","title":"A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems","version":2},"cited_work":{"arxiv_id":"2508.07407","doi":"10.48550/arxiv.2508.07407","metadata_source":"pith","pith_arxiv_id":"2508.07407","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems","venue":"cs.AI","work_id":"10037f9e-62d9-4dd1-a9c1-44be77032524","year":2025},"citing_paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-09T23:42:00.548132Z"},"links":{"cited_paper":"/paper/2508.07407","citing_paper":"/paper/2604.20714"},"observation_digest":"sha256:6452cf8ce7de6148c736210a7ddd0df86b8474c8a566a5c693109368764e12cf","observation_id":"dae6b833-aa3d-4c0e-a30f-9844d507591c","resolution":{"observed_at":"2026-05-15T23:21:42.844044Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.20714","last_updated":"2026-04-22T16:00:46Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T23:07:25.185196Z","submitted_at":"2026-04-22T16:00:46Z","title":"Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":1,"verified_exact":7,"verified_fuzzy":5},"total_outbound_references":18},"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":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2604.20714."}