{"as_of":"2026-08-05T23:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b9bcbc7ca13d6c6b886804b80edff8fc70683d8864f9827a38a055ba96ccfa6","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":166,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T07:41:26.285206Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":23,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2505.11336","last_updated":"2026-04-23T13:58:58Z","snapshot_observed_at":"2026-08-02T10:39:01.047365Z","submitted_at":"2025-05-16T15:02:19Z","title":"XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-22T14:43:19.221814Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2505.11336"},"observation_digest":"sha256:1fdd87398242d5b690d7ec37591ebfd2acacf147346db3f7a45f21ac086b6148","observation_id":"453aa150-57de-49ed-9d30-75264d1a7e24","resolution":{"observed_at":"2026-05-22T14:44:55.162269Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2506.10060","last_updated":"2026-04-17T19:21:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-11T18:00:00Z","title":"Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-19T09:20:12.827871Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2506.10060"},"observation_digest":"sha256:d79cbeb011221c5bc30e0040c0b42ce7f479d368539ce35dafa9d689ebc0671c","observation_id":"4cdb6333-c0fc-4bf0-9c6d-519ff1024b60","resolution":{"observed_at":"2026-05-19T09:22:15.923759Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2506.22653","last_updated":"2026-04-06T21:56:25Z","snapshot_observed_at":"2026-07-06T21:48:54.170606Z","submitted_at":"2025-06-27T21:56:02Z","title":"URSA: The Universal Research and Scientific Agent","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-19T07:17:43.033909Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2506.22653"},"observation_digest":"sha256:d52218c28a6db63fba6ab92ab51e00d249451c59011438899830de226d53d022","observation_id":"44df9552-18cf-4fbb-ba8d-fba2bcb7ac31","resolution":{"observed_at":"2026-05-19T07:22:09.424971Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2507.11810","last_updated":"2026-05-11T19:19:50Z","snapshot_observed_at":"2026-07-06T21:57:50.776977Z","submitted_at":"2025-07-16T00:11:01Z","title":"Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator","version":2},"reference_index":203,"source":"pdf_text","source_observed_at":"2026-05-19T05:15:49.513101Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2507.11810"},"observation_digest":"sha256:7ae517d114ef15eb9da04b4eeb152e6b3c08ea3c44c1ca9af01ae76fa7d063e9","observation_id":"d60a3513-4765-41a4-aa9a-dc7c4b86d1fd","resolution":{"observed_at":"2026-05-19T05:17:06.316268Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2509.19349","last_updated":"2025-09-17T17:49:02Z","snapshot_observed_at":"2026-08-04T18:42:43.786371Z","submitted_at":"2025-09-17T17:49:02Z","title":"ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution","version":1},"reference_index":262,"source":"arxiv_source","source_observed_at":"2026-05-16T13:58:58.627748Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2509.19349"},"observation_digest":"sha256:ca047695e54316b210f4b140a4604c8d6b8849b691f7119028d4c73d0bb61d3c","observation_id":"08fb93f1-e63f-4593-9000-37444b3d0d68","resolution":{"observed_at":"2026-05-16T13:58:59.072758Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2510.01553","last_updated":"2026-04-28T02:54:47Z","snapshot_observed_at":"2026-08-03T20:07:32.015601Z","submitted_at":"2025-10-02T00:51:58Z","title":"IoDResearch: Deep Research on Private Heterogeneous Data via the Internet of Data","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T11:24:37.767205Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2510.01553"},"observation_digest":"sha256:da9c137d73b18e4fda67f975586f6ae5d2f82875ea8f3c9e9b4e00dcb91d5be6","observation_id":"e01347d6-6820-40cd-bfce-b933ff0fbbf8","resolution":{"observed_at":"2026-05-18T11:26:18.573559Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2510.12787","last_updated":"2026-05-22T10:39:41Z","snapshot_observed_at":"2026-08-01T15:39:50.322856Z","submitted_at":"2025-10-14T17:57:04Z","title":"Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics","version":4},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-25T07:46:30.936002Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2510.12787"},"observation_digest":"sha256:667f3cd27f82e2038169f798a4a75a5a66e2b1e7eebc6d415f2c8431844b4488","observation_id":"2e7de118-ae21-4b09-8507-1e56ffb0d7b7","resolution":{"observed_at":"2026-05-25T07:46:42.228416Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-04T07:41:26.285206Z","title":"Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, and Yue Zhang","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.24891","last_updated":"2026-07-16T03:28:48Z","snapshot_observed_at":"2026-08-04T07:41:23.930605Z","submitted_at":"2025-10-28T18:54:51Z","title":"Idea2Plan: Exploring AI-Powered Research Planning","version":2},"reference_index":299,"source":"pdf_text","source_observed_at":"2026-08-04T07:41:26.285206Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2510.24891"},"observation_digest":"sha256:a037d99529a2d3130e0b521bac5d48864f2ab5acfad29d804cd0431aacc23cf7","observation_id":"f72f89f8-e26a-46a9-8f17-a8348741e279","resolution":{"observed_at":"2026-08-04T07:41:26.285206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-03T23:17:30.044395Z","title":"arXiv preprint arXiv:2504.08066 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.06701","last_updated":"2026-07-01T02:17:57Z","snapshot_observed_at":"2026-08-05T08:47:15.397583Z","submitted_at":"2025-11-10T04:42:30Z","title":"Structural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecture","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T23:17:30.044395Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2511.06701"},"observation_digest":"sha256:9f769639b0658898f0e1a9ee10c88258757a710d1b3ab2854349220c7f1da1b5","observation_id":"ce6da613-57de-4c4a-98ac-e7fc4795a290","resolution":{"observed_at":"2026-08-03T23:17:30.044395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2512.15567","last_updated":"2026-05-08T01:14:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-17T16:20:03Z","title":"Evaluating Large Language Models in Scientific Discovery","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-16T21:47:09.588941Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2512.15567"},"observation_digest":"sha256:831d4353657e3a0460bc7c689125078db8207324a1d0420652115d2ceba136c4","observation_id":"a6853eaa-e856-4e54-9fae-36d304c724da","resolution":{"observed_at":"2026-05-16T21:48:34.389858Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-03T09:21:47.373222Z","title":"The ai scientist-v2: Workshop-level automated scientific discovery via agentic tree search.arXiv preprint arXiv:2504.08066, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.14192","last_updated":"2026-07-03T11:26:58Z","snapshot_observed_at":"2026-08-03T09:21:30.130466Z","submitted_at":"2026-01-20T17:51:56Z","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","version":2},"reference_index":165,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:47.373222Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2601.14192"},"observation_digest":"sha256:35dece2f3cccf39ee7f24ecf825115f1177a61018ba0ef50781ef0f54632494a","observation_id":"5e20fdc3-a52e-4db6-b2a3-3ab39fc9221f","resolution":{"observed_at":"2026-08-03T09:21:47.373222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2602.04850","last_updated":"2026-04-14T01:09:29Z","snapshot_observed_at":"2026-07-29T14:33:02.912292Z","submitted_at":"2026-02-04T18:38:50Z","title":"El Agente Quntur: A research collaborator agent for quantum chemistry","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-16T06:48:44.713745Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2602.04850"},"observation_digest":"sha256:4142f9602fb8c5f7c2a45c81c4ff7efd44dce90aca1113d13dd9a2a55d1e991b","observation_id":"3352e716-8025-4ebc-a704-073913cd00f0","resolution":{"observed_at":"2026-05-16T06:50:42.490922Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2602.17753","last_updated":"2026-05-06T13:43:46Z","snapshot_observed_at":"2026-07-06T22:46:30.684694Z","submitted_at":"2026-02-19T18:57:43Z","title":"The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems","version":2},"reference_index":136,"source":"pdf_text","source_observed_at":"2026-05-15T20:41:49.137745Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2602.17753"},"observation_digest":"sha256:24a93a6618b9437fc62a61a08fe551f9b5c8683f460cc7974af09e1439aafbd0","observation_id":"b9a8d6ca-e9d4-42e0-b19b-305dd771854b","resolution":{"observed_at":"2026-05-15T20:46:36.238554Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-02T18:14:49.294417Z","title":"The ai scientist-v2: Workshop-level automated scientific discovery via agentic tree search, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.14473","last_updated":"2026-07-15T10:22:14Z","snapshot_observed_at":"2026-08-05T20:09:51.962104Z","submitted_at":"2026-03-15T16:31:51Z","title":"AI Can Learn Scientific Taste","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T18:14:49.294417Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2603.14473"},"observation_digest":"sha256:a832fc8fa9c8efabfcae64c675a21f2e76bbb19ef150bdc8c0f122b373050fdc","observation_id":"8446e6af-8147-4d1d-a481-6e0ca4855a48","resolution":{"observed_at":"2026-08-02T18:14:49.294417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2603.16659","last_updated":"2026-05-14T15:20:18Z","snapshot_observed_at":"2026-07-31T05:54:51.994830Z","submitted_at":"2026-03-17T15:28:24Z","title":"LLMs learn scientific taste from institutional traces across the social sciences","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-15T09:55:41.701038Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2603.16659"},"observation_digest":"sha256:84206a0e65c2acfb97a49fe78898818735a8263c5fa8173f72907609be84c0f6","observation_id":"a8d72a65-8c74-4742-aec2-5e86b90b5bec","resolution":{"observed_at":"2026-05-15T09:59:55.176855Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2603.26499","last_updated":"2026-04-13T16:38:00Z","snapshot_observed_at":"2026-07-06T22:50:46.243903Z","submitted_at":"2026-03-27T15:02:43Z","title":"AIRA_2: Overcoming Bottlenecks in AI Research Agents","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-14T23:06:39.545404Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2603.26499"},"observation_digest":"sha256:2f2b4d3f13766720f8d367db6b9aee3de77190cf9ef61d539de8490c54a8c48f","observation_id":"861fcf81-11dd-448d-8c6d-758194731df7","resolution":{"observed_at":"2026-05-14T23:08:14.668661Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.05550","last_updated":"2026-05-25T14:50:02Z","snapshot_observed_at":"2026-07-13T09:23:35.944049Z","submitted_at":"2026-04-07T07:52:01Z","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T18:43:51.525392Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.05550"},"observation_digest":"sha256:4bc51393ebf159f86f4a31ce9ab68bcc20ed2991ccda12e608061619e2872ade","observation_id":"16ef67b4-643b-4411-ae1e-7527043fe95f","resolution":{"observed_at":"2026-05-11T00:00:56.868452Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-07-13T09:23:40.328143Z","title":"The ai scientist-v2: Workshop-level automated scientific discovery via agentic tree search.arXiv preprint arXiv:2504.08066, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.05550","last_updated":"2026-05-25T14:50:02Z","snapshot_observed_at":"2026-07-13T09:23:35.944049Z","submitted_at":"2026-04-07T07:52:01Z","title":"AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery","version":2},"reference_index":126,"source":"pdf_text","source_observed_at":"2026-07-13T09:23:40.328143Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.05550"},"observation_digest":"sha256:6c37a7fb5cc1ea6d4ce5e36a09a8b5ca9c1d52fd89ef9fab75121658f1cba273","observation_id":"da8423d0-4c04-45f7-b80b-81aecaf50dc0","resolution":{"observed_at":"2026-07-13T09:23:40.328143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.05587","last_updated":"2026-04-07T08:29:41Z","snapshot_observed_at":"2026-07-06T22:54:16.913706Z","submitted_at":"2026-04-07T08:29:41Z","title":"ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T19:45:04.315752Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.05587"},"observation_digest":"sha256:635dd37f5bb85c211dcee9025de513da1079838e6f392525d306a8d7636e1cbe","observation_id":"04f2a0f2-d540-4d42-8703-21188c4a882b","resolution":{"observed_at":"2026-05-10T22:30:53.777211Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.07872","last_updated":"2026-04-09T06:36:15Z","snapshot_observed_at":"2026-07-06T22:57:05.146373Z","submitted_at":"2026-04-09T06:36:15Z","title":"PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T18:21:52.115078Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.07872"},"observation_digest":"sha256:b3962522cfe52a019f999e041e8ea365b65c95afc081b0d601dcf210b2fc9f21","observation_id":"e489426e-6769-4c06-840d-64dfbb4b5fb4","resolution":{"observed_at":"2026-05-11T00:45:49.255681Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.08318","last_updated":"2026-04-09T14:50:56Z","snapshot_observed_at":"2026-08-02T14:53:52.163563Z","submitted_at":"2026-04-09T14:50:56Z","title":"A Model Context Protocol Server for Quantum Execution in Hybrid Quantum-HPC Environments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T18:29:41.511368Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.08318"},"observation_digest":"sha256:f92cd85bd6e4e0e16cfe53af2cdf9f13c30452c96da6098742f7ca1174e292e1","observation_id":"09919c9e-7d8c-4acf-ae8a-d51cfd7857e8","resolution":{"observed_at":"2026-05-11T00:30:52.443323Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.09590","last_updated":"2026-03-03T09:02:17Z","snapshot_observed_at":"2026-07-06T22:58:25.877654Z","submitted_at":"2026-03-03T09:02:17Z","title":"DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T17:19:38.627340Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.09590"},"observation_digest":"sha256:2519a2ffb210aebceced685e01b11073662ba4b64abc68cc37b0ebe56758b71b","observation_id":"daed9d16-3f15-4a97-bd9d-333be1bf160e","resolution":{"observed_at":"2026-05-15T17:20:10.416119Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.09791","last_updated":"2026-04-10T18:13:09Z","snapshot_observed_at":"2026-07-06T22:58:34.504325Z","submitted_at":"2026-04-10T18:13:09Z","title":"Pioneer Agent: Continual Improvement of Small Language Models in Production","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-05-10T17:48:40.520740Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.09791"},"observation_digest":"sha256:25538aa49fab9d244fd8d9247e44250fa6d60ee4c2f3e6cb666997528c795d06","observation_id":"92992e5b-36f9-4b41-ae9c-c29c5bfd52bf","resolution":{"observed_at":"2026-05-11T06:05:57.579648Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.10696","last_updated":"2026-04-12T15:43:50Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-12T15:43:50Z","title":"Camyla: Scaling Autonomous Research in Medical Image Segmentation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T16:00:25.150960Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.10696"},"observation_digest":"sha256:945c85b28fb80c8da345595c0da7e0e6a062b0bb3b1f18839ccb1cc6558b2b86","observation_id":"06330b8f-d830-479f-b4b0-2f4752851aec","resolution":{"observed_at":"2026-05-11T09:31:01.559626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.12421","last_updated":"2026-04-14T08:11:53Z","snapshot_observed_at":"2026-08-02T07:12:52.332090Z","submitted_at":"2026-04-14T08:11:53Z","title":"Agentic Insight Generation in VSM Simulations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T15:17:39.853496Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.12421"},"observation_digest":"sha256:7ba45c3dcde412ed15c11b39b0f6580228e8503043f44502816c622d9e63bd96","observation_id":"67e62811-7718-4115-bf71-3d119c89a4ba","resolution":{"observed_at":"2026-05-11T10:51:03.394355Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.13018","last_updated":"2026-05-26T11:35:54Z","snapshot_observed_at":"2026-08-02T10:52:08.769853Z","submitted_at":"2026-04-14T17:55:16Z","title":"Toward Autonomous Long-Horizon Engineering for ML Research","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-10T15:50:20.550969Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.13018"},"observation_digest":"sha256:781e65879a2d502c515209a0dbb0b48ca674da3461e1ab13aef442d70740f581","observation_id":"ff8a5e6d-e8a4-4a57-b363-9f02595c9914","resolution":{"observed_at":"2026-05-11T09:46:08.111424Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-07-12T21:01:34.659347Z","title":"Yamada, R","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.13018","last_updated":"2026-05-26T11:35:54Z","snapshot_observed_at":"2026-08-02T10:52:08.769853Z","submitted_at":"2026-04-14T17:55:16Z","title":"Toward Autonomous Long-Horizon Engineering for ML Research","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-12T21:01:34.659347Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.13018"},"observation_digest":"sha256:c1e8019d45a776b944f3585f26f2fd2f037a6bd750bce671e34b7d317431649e","observation_id":"1e916f3f-fec0-48e1-9a44-5d3cf7764b61","resolution":{"observed_at":"2026-07-12T21:01:34.659347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.14116","last_updated":"2026-04-22T07:33:13Z","snapshot_observed_at":"2026-07-06T23:02:00.082783Z","submitted_at":"2026-04-15T17:38:06Z","title":"TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T12:34:29.808503Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.14116"},"observation_digest":"sha256:0474540302df82e62cbfdbc4d0a4a563aeaeb439e7c50dddb13f461908499129","observation_id":"9e209b39-1adf-458c-ae0f-5436a5dc51f4","resolution":{"observed_at":"2026-05-11T11:46:34.733356Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.17406","last_updated":"2026-07-01T09:10:53Z","snapshot_observed_at":"2026-07-06T23:04:32.734175Z","submitted_at":"2026-04-19T12:26:05Z","title":"EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T05:59:01.010437Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.17406"},"observation_digest":"sha256:db2ba52ff177d33353396c6c4a1f172c6ccafc4afb9d799feab8e5c50e263405","observation_id":"cb6860ac-1f31-45c4-87c7-5261d7bb536d","resolution":{"observed_at":"2026-05-10T06:01:13.407286Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.17406","last_updated":"2026-07-01T09:10:53Z","snapshot_observed_at":"2026-07-06T23:04:32.734175Z","submitted_at":"2026-04-19T12:26:05Z","title":"EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-05T17:45:55.631459Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.17406"},"observation_digest":"sha256:930c7f2490451ae1e5cd5e17e1c8249fe53e830d4ab1b6f18f2054fc4d513a80","observation_id":"4ec5d066-aa25-48d8-81c4-b59e7f53c659","resolution":{"observed_at":"2026-07-05T17:51:14.820601Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.18936","last_updated":"2026-04-21T00:21:05Z","snapshot_observed_at":"2026-07-06T23:05:39.724237Z","submitted_at":"2026-04-21T00:21:05Z","title":"Fine-Tuning Small Reasoning Models for Quantum Field Theory","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T03:23:18.770963Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.18936"},"observation_digest":"sha256:31d25bcc4e3c664c287210a2c8c36fde6462d46de8ca77335c7c7bae2029420c","observation_id":"e2d61534-4dd6-4f58-bd9a-37ac7ff45ad4","resolution":{"observed_at":"2026-05-11T12:31:05.563648Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.19341","last_updated":"2026-04-21T11:24:09Z","snapshot_observed_at":"2026-07-06T23:06:02.635464Z","submitted_at":"2026-04-21T11:24:09Z","title":"Evaluation-driven Scaling for Scientific Discovery","version":1},"reference_index":160,"source":"pdf_text","source_observed_at":"2026-05-10T03:39:52.204043Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.19341"},"observation_digest":"sha256:477a85b9eaf9d0cd7538aefed7749010c2a2622c17ef3bcd033782ab2fd33cac","observation_id":"c96ba447-95a7-4821-bbe1-736e1e796124","resolution":{"observed_at":"2026-05-11T12:26:07.454877Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.19606","last_updated":"2026-04-30T03:40:02Z","snapshot_observed_at":"2026-08-03T01:53:53.879136Z","submitted_at":"2026-04-21T15:55:33Z","title":"AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-10T02:30:39.346257Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.19606"},"observation_digest":"sha256:2738f5a3c1848ebe8187bb6b2c475b17e3f540d42a18a25f86d7e9eb5c69b6cc","observation_id":"514b829e-ec79-4e95-a70d-1ba1664ce8ad","resolution":{"observed_at":"2026-05-11T13:01:04.327400Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.20622","last_updated":"2026-04-22T14:38:28Z","snapshot_observed_at":"2026-07-06T23:07:14.243878Z","submitted_at":"2026-04-22T14:38:28Z","title":"pAI/MSc: ML Theory Research with Humans on the Loop","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-10T00:00:02.883095Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.20622"},"observation_digest":"sha256:4181b485d9e17b175fa035495bcc767d154ef913695d2d9b673887b729e26678","observation_id":"eb834e0f-ddfd-4925-8f02-fd67c0cac6f0","resolution":{"observed_at":"2026-05-11T13:51:03.310777Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.20658","last_updated":"2026-04-22T15:07:54Z","snapshot_observed_at":"2026-08-02T11:39:51.117378Z","submitted_at":"2026-04-22T15:07:54Z","title":"Cooperative Profiles Predict Multi-Agent LLM Team Performance in AI for Science Workflows","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-09T23:52:47.833809Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.20658"},"observation_digest":"sha256:aabcfc5c45edc9e8a13a5ac712d51d39e23859f9182c3668b90ec6505a62ca38","observation_id":"87eb8a34-2507-47b6-a5a2-9b3ddbea6142","resolution":{"observed_at":"2026-05-11T13:56:05.713101Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.22026","last_updated":"2026-05-11T19:36:02Z","snapshot_observed_at":"2026-07-06T23:08:28.444591Z","submitted_at":"2026-04-23T19:40:53Z","title":"Rethinking Publication: A Certification Framework for AI-Enabled Research","version":1},"reference_index":108,"source":"arxiv_source","source_observed_at":"2026-05-09T21:17:06.487753Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.22026"},"observation_digest":"sha256:4558fd4bd7a59e9552bb7f4c0aef3bac7fc668a70a5948b001e33e8ea3c8498c","observation_id":"2bbc9bd3-2a56-48b8-8ac8-efc464a4ad9f","resolution":{"observed_at":"2026-05-11T14:41:16.233673Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.22026","last_updated":"2026-05-11T19:36:02Z","snapshot_observed_at":"2026-07-06T23:08:28.444591Z","submitted_at":"2026-04-23T19:40:53Z","title":"Rethinking Publication: A Certification Framework for AI-Enabled Research","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-13T07:59:29.237109Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.22026"},"observation_digest":"sha256:d4b8965633140c941049c689f53f437c70f45dcab0cacbe2f02cb61cc8b42374","observation_id":"71c3fc10-3d8e-423d-ab91-443a38b9a17a","resolution":{"observed_at":"2026-05-13T08:02:31.879640Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.27859","last_updated":"2026-05-15T06:25:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-30T13:43:25Z","title":"Rethinking Agentic Reinforcement Learning In Large Language Models","version":1},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-05-07T06:30:09.945371Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.27859"},"observation_digest":"sha256:1aa343d2da3ba7eb4ca090f6c1a9d7576a87f2efbe1c17b2803656d02d9452b9","observation_id":"d45ed3f5-5611-4a08-9c93-d68c442d3693","resolution":{"observed_at":"2026-05-12T10:21:30.007650Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.27859","last_updated":"2026-05-15T06:25:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-30T13:43:25Z","title":"Rethinking Agentic Reinforcement Learning In Large Language Models","version":2},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-05-08T03:12:19.414358Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.27859"},"observation_digest":"sha256:60613d165540fe92b115d426803397a54d88287b9d131a4ed059cb62ccf78b73","observation_id":"2a6ee7dc-cf74-481b-9683-e270b1a4134b","resolution":{"observed_at":"2026-05-11T22:11:16.996798Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.27859","last_updated":"2026-05-15T06:25:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-30T13:43:25Z","title":"Rethinking Agentic Reinforcement Learning In Large Language Models","version":3},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-05-19T16:58:41.558250Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.27859"},"observation_digest":"sha256:173585e404e0e564ffcdc02b94b50f1c579537a0667f1c385a87f9c1d8473f18","observation_id":"463d3911-f8dd-485a-862e-c2d7c89e9870","resolution":{"observed_at":"2026-05-19T17:02:40.889211Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2604.28158","last_updated":"2026-05-01T14:37:29Z","snapshot_observed_at":"2026-07-06T23:13:29.310140Z","submitted_at":"2026-04-30T17:44:55Z","title":"Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-07T06:42:17.145367Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2604.28158"},"observation_digest":"sha256:dbc0adbe292def41cb91a134340b283567a81fcc10ffc8fd146e1a466ace5cfc","observation_id":"887e46f5-c6ad-416f-a2b2-94f1250426bb","resolution":{"observed_at":"2026-05-12T10:16:28.521191Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.02092","last_updated":"2026-05-03T23:22:01Z","snapshot_observed_at":"2026-07-06T23:15:11.601042Z","submitted_at":"2026-05-03T23:22:01Z","title":"NORA: A Harness-Engineered Autonomous Research Agent for End-to-End Spatial Data Science","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T19:10:02.443421Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.02092"},"observation_digest":"sha256:ff57046273ea0f90a506f21405cb990ef0c8be4f627b83225f510b67386af332","observation_id":"8d362474-87a4-4ad7-94bf-92e428ae8a6b","resolution":{"observed_at":"2026-05-09T01:44:55.508555Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.05851","last_updated":"2026-05-07T08:24:54Z","snapshot_observed_at":"2026-08-04T15:23:48.540297Z","submitted_at":"2026-05-07T08:24:54Z","title":"Hypothesis generation and updating in large language models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-08T14:43:56.125546Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.05851"},"observation_digest":"sha256:9799128a4ac5ca5f4870c870dda38b01bdaa42b6491a58a427ac377ce3cc84b0","observation_id":"3b9fb214-94fc-42ce-8882-7553b7a3ab1f","resolution":{"observed_at":"2026-05-09T01:44:55.508555Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.06607","last_updated":"2026-05-12T22:57:53Z","snapshot_observed_at":"2026-07-06T23:19:00.794334Z","submitted_at":"2026-05-07T17:27:23Z","title":"AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-08T05:49:04.698675Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.06607"},"observation_digest":"sha256:4a8b6dbddbded2b579205fb1edfa64402b866623219b1ba52bf633f83c9f421e","observation_id":"9126f415-0a79-49a5-91b3-8f82c6e114b3","resolution":{"observed_at":"2026-05-09T01:44:55.508555Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.06607","last_updated":"2026-05-12T22:57:53Z","snapshot_observed_at":"2026-07-06T23:19:00.794334Z","submitted_at":"2026-05-07T17:27:23Z","title":"AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-11T02:05:57.854868Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.06607"},"observation_digest":"sha256:9a9117a1a797275a64dbd44a89a9317321c42175f4461368144d4c281e5b50eb","observation_id":"384aac5d-1926-4400-9c0b-fb5f67f62597","resolution":{"observed_at":"2026-05-11T02:10:53.173027Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.06607","last_updated":"2026-05-12T22:57:53Z","snapshot_observed_at":"2026-07-06T23:19:00.794334Z","submitted_at":"2026-05-07T17:27:23Z","title":"AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-05-14T22:02:47.160731Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.06607"},"observation_digest":"sha256:ef3320a1be17c01fdf9db088db694de69a3b113180c30ce4bb41315dde918550","observation_id":"bbaa81b5-ca12-4100-9a9e-fd8c71c2ac5d","resolution":{"observed_at":"2026-05-14T22:03:02.243487Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.07022","last_updated":"2026-06-16T20:13:19Z","snapshot_observed_at":"2026-08-02T08:48:20.853281Z","submitted_at":"2026-05-07T23:08:18Z","title":"Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-11T01:26:47.595917Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.07022"},"observation_digest":"sha256:dd0d671aaae63763ee2c6fd121537bb8919a86c31b9d9509969f9665e69d1abd","observation_id":"803ba0c2-5b75-49bc-8cdc-f5c1b891da17","resolution":{"observed_at":"2026-05-11T04:25:56.391063Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.07022","last_updated":"2026-06-16T20:13:19Z","snapshot_observed_at":"2026-08-02T08:48:20.853281Z","submitted_at":"2026-05-07T23:08:18Z","title":"Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-20T22:27:32.898710Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.07022"},"observation_digest":"sha256:1be1b0a06910b9ee5554f7972e4f81f9815e2429149f6bd48fcc51a176a1114d","observation_id":"47b1397a-f4b7-4aef-9d5d-38f192796125","resolution":{"observed_at":"2026-05-20T22:29:09.160311Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.07022","last_updated":"2026-06-16T20:13:19Z","snapshot_observed_at":"2026-08-02T08:48:20.853281Z","submitted_at":"2026-05-07T23:08:18Z","title":"Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-06-30T23:02:18.961663Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.07022"},"observation_digest":"sha256:4f9fdeefcfa87ce7a007fce1e073bd2041f4b3f3f9bc8421f9000d0375b04b84","observation_id":"73fb6b25-bed3-4fc9-9b85-6247b763378a","resolution":{"observed_at":"2026-06-30T23:05:07.375871Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.07208","last_updated":"2026-05-08T03:57:34Z","snapshot_observed_at":"2026-07-06T23:19:35.885430Z","submitted_at":"2026-05-08T03:57:34Z","title":"FAME: Forecasting Academic Impact via Continuous-Time Manifold Evolution","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-11T02:48:15.074349Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.07208"},"observation_digest":"sha256:4b18310bfb549cf89410940b22e24656f9cb0d5f0c939f8309000eb0f502d6bb","observation_id":"59c8ba33-38df-4831-a1fc-9a86a9ae64a6","resolution":{"observed_at":"2026-05-11T03:05:55.276584Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.07335","last_updated":"2026-05-08T06:40:24Z","snapshot_observed_at":"2026-08-02T20:01:29.592210Z","submitted_at":"2026-05-08T06:40:24Z","title":"CellScientist: Dual-Space Hierarchical Orchestration for Closed-Loop Refinement of Virtual Cell Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-11T01:07:26.231896Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.07335"},"observation_digest":"sha256:77c845eb6934edea2094536afec1fcb9d47c1a59d5a781b05ef652d4688fc62d","observation_id":"a65a1ebd-7d7d-4e69-bb9b-b5baf5ac2640","resolution":{"observed_at":"2026-05-11T04:45:56.509571Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.08678","last_updated":"2026-07-06T13:36:13Z","snapshot_observed_at":"2026-07-31T14:41:52.251938Z","submitted_at":"2026-05-09T04:29:46Z","title":"MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI","version":1},"reference_index":111,"source":"pdf_text","source_observed_at":"2026-05-12T01:13:35.990078Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.08678"},"observation_digest":"sha256:0995a013ba3c44deb24e552b24719cb949714809d16d53a84dec72415c650d87","observation_id":"82c4bb64-448d-48e5-8252-f1c09759566e","resolution":{"observed_at":"2026-05-12T08:21:25.227237Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.08678","last_updated":"2026-07-06T13:36:13Z","snapshot_observed_at":"2026-07-31T14:41:52.251938Z","submitted_at":"2026-05-09T04:29:46Z","title":"MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI","version":2},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-06-30T23:12:57.154537Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.08678"},"observation_digest":"sha256:9ec06d5ec06a5d8a3708a6618dce550bbf57df06530e9f71c2af8cd61a231410","observation_id":"09aa7970-5637-4e0e-9d13-821de349b26a","resolution":{"observed_at":"2026-07-01T13:25:45.966074Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-07-12T17:14:49.310598Z","title":"Foerster, Jeff Clune, and David Ha","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.08678","last_updated":"2026-07-06T13:36:13Z","snapshot_observed_at":"2026-07-31T14:41:52.251938Z","submitted_at":"2026-05-09T04:29:46Z","title":"MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI","version":3},"reference_index":112,"source":"pdf_text","source_observed_at":"2026-07-12T17:14:49.310598Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.08678"},"observation_digest":"sha256:3f2425d20e08bae45dba397a523e6af87cb54c1203a293cba22ff136f5ff5620","observation_id":"ebeb86b8-4816-4a6d-8742-3cde39e353ab","resolution":{"observed_at":"2026-07-12T17:14:49.310598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.09870","last_updated":"2026-05-11T01:54:58Z","snapshot_observed_at":"2026-07-06T23:21:54.140120Z","submitted_at":"2026-05-11T01:54:58Z","title":"Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions","version":1},"reference_index":205,"source":"arxiv_source","source_observed_at":"2026-05-12T05:01:45.583355Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.09870"},"observation_digest":"sha256:73dfeb2685a40884dc0a71e2ac2eeb42288d30adb73da5abf112a4d0776fcfd1","observation_id":"bc02354d-7886-4272-9b67-e952115d5a05","resolution":{"observed_at":"2026-05-12T05:41:27.092100Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.09915","last_updated":"2026-05-11T03:07:15Z","snapshot_observed_at":"2026-08-03T01:38:17.964750Z","submitted_at":"2026-05-11T03:07:15Z","title":"Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-12T05:03:10.013340Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.09915"},"observation_digest":"sha256:6e7ac1a487a8cde85ffd13b4f3e30d5680ed545e860038272cbd1e251b86e73f","observation_id":"e5ffafa7-61af-4b4e-aa3c-8c959c953826","resolution":{"observed_at":"2026-05-12T05:41:26.251571Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.10246","last_updated":"2026-06-03T07:15:37Z","snapshot_observed_at":"2026-07-06T23:22:13.774652Z","submitted_at":"2026-05-11T09:19:17Z","title":"SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T05:33:40.813795Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.10246"},"observation_digest":"sha256:2dcd108ce2b65958393063018668b1065e35579aae6382f20995d956415e4af4","observation_id":"99c7752d-2ae5-482b-a1e9-5a4b49cfb239","resolution":{"observed_at":"2026-05-12T05:36:24.460866Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.10246","last_updated":"2026-06-03T07:15:37Z","snapshot_observed_at":"2026-07-06T23:22:13.774652Z","submitted_at":"2026-05-11T09:19:17Z","title":"SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T22:48:43.262187Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.10246"},"observation_digest":"sha256:72f00a945bfc552ee01771c5c46644c4e6290652c97b5988fd645ff45e98b6fc","observation_id":"1a0d9531-7af8-4cd4-9a20-621e0eb8911a","resolution":{"observed_at":"2026-07-01T13:45:45.902107Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.10425","last_updated":"2026-05-11T12:00:13Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:00:13Z","title":"Toward an Engineering of Science: Rebalancing Generation and Verification in the Age of AI","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-12T05:08:12.470413Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.10425"},"observation_digest":"sha256:aa7dc220bfd88bfcee49566f71d1e0f921db3c1124a39b0cf9d4bcf482f8d21d","observation_id":"27ee88ad-b0a4-487b-97a3-ab88d9975109","resolution":{"observed_at":"2026-05-12T05:36:25.850820Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.10813","last_updated":"2026-05-11T16:33:47Z","snapshot_observed_at":"2026-07-30T22:58:47.084744Z","submitted_at":"2026-05-11T16:33:47Z","title":"NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T04:12:49.742272Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.10813"},"observation_digest":"sha256:d9dbfc0ecd5f0c2c09d2b88579fd6101a27e9a9daee14afd245c987ff8406cb0","observation_id":"b61b7b65-1e84-4532-9205-d498b4e7e62d","resolution":{"observed_at":"2026-05-12T06:31:27.419744Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.11258","last_updated":"2026-05-11T21:35:44Z","snapshot_observed_at":"2026-08-02T13:53:50.867234Z","submitted_at":"2026-05-11T21:35:44Z","title":"Unlocking LLM Creativity in Science through Analogical Reasoning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-13T01:53:26.159310Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.11258"},"observation_digest":"sha256:5029f9d966b1ef4c7523286249ee6bb811adf63bb6734a30270bfd2babc6a9d6","observation_id":"1bbf4892-c68d-4081-a1c9-ef07f67fb279","resolution":{"observed_at":"2026-05-13T01:57:05.661535Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.12835","last_updated":"2026-05-13T00:08:07Z","snapshot_observed_at":"2026-08-01T15:59:40.306143Z","submitted_at":"2026-05-13T00:08:07Z","title":"PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-14T20:36:43.725006Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.12835"},"observation_digest":"sha256:d4b1139d1bc0a6a81390055a2796a52946e6e649698feeb67dbfd42afd4c85ab","observation_id":"1c63ebba-f417-4a88-bd99-856fdb2375f5","resolution":{"observed_at":"2026-05-14T20:37:56.085274Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.13874","last_updated":"2026-05-08T00:25:09Z","snapshot_observed_at":"2026-07-06T23:25:25.361350Z","submitted_at":"2026-05-08T00:25:09Z","title":"GEAR: Genetic AutoResearch for Agentic Code Evolution","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-15T06:20:37.051754Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.13874"},"observation_digest":"sha256:b656ba905cef761d1d122e206be3a4ff77a50c2406b27c597eeeaabbbc959cc7","observation_id":"6b8ed857-76e7-480b-8baf-3228a998c52a","resolution":{"observed_at":"2026-05-15T06:25:07.813644Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.14790","last_updated":"2026-05-14T12:57:56Z","snapshot_observed_at":"2026-07-06T23:26:09.066863Z","submitted_at":"2026-05-14T12:57:56Z","title":"Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T20:52:32.567107Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.14790"},"observation_digest":"sha256:3735caed6da7ba23d5a3f1c82b1564b5959bafdd56d3237eff90ba84b47ed485","observation_id":"bf59b3e7-8580-4aee-9926-baa980627c20","resolution":{"observed_at":"2026-06-30T20:55:04.115216Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.15308","last_updated":"2026-05-14T18:21:08Z","snapshot_observed_at":"2026-08-02T20:42:03.805734Z","submitted_at":"2026-05-14T18:21:08Z","title":"SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-19T16:22:12.940259Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.15308"},"observation_digest":"sha256:d4c99975a3710281ae53032206b72e7b29080ec947b8bada5faadc12f8cd0b03","observation_id":"e5d9c583-1a6b-454e-bd90-9c208f49493a","resolution":{"observed_at":"2026-05-19T16:22:39.492352Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.15871","last_updated":"2026-05-15T11:40:41Z","snapshot_observed_at":"2026-07-06T23:27:05.961780Z","submitted_at":"2026-05-15T11:40:41Z","title":"Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-20T18:58:11.197587Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.15871"},"observation_digest":"sha256:d7f43652e66b9d3d4b4d579082747d1c5fbd1485a6bce311947653c7687bd397","observation_id":"730a5ac0-52a2-4d0b-8de6-9db50d254841","resolution":{"observed_at":"2026-05-20T18:58:53.854077Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.16294","last_updated":"2026-04-14T19:07:38Z","snapshot_observed_at":"2026-08-01T22:58:25.897418Z","submitted_at":"2026-04-14T19:07:38Z","title":"Are Researchers Being Replaced by Artificial Intelligence?","version":1},"reference_index":108,"source":"arxiv_source","source_observed_at":"2026-05-21T01:12:10.833490Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.16294"},"observation_digest":"sha256:af7a2b770f82860df01fc0eb331d532332b9f3e03829f21ee2d82355ed2e7865","observation_id":"dc067d1c-0126-44de-81c0-f7e24967bab1","resolution":{"observed_at":"2026-05-21T01:13:53.579958Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.16616","last_updated":"2026-05-15T20:35:32Z","snapshot_observed_at":"2026-07-06T23:27:43.762904Z","submitted_at":"2026-05-15T20:35:32Z","title":"MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-20T19:59:40.519962Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.16616"},"observation_digest":"sha256:1047b06aba42b043152022b49983ddf61b675da1248545753133f125cfd2a6b7","observation_id":"9aff99f0-4850-4eb6-b1f0-dde0fc3ad75f","resolution":{"observed_at":"2026-05-20T20:03:44.057404Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.17046","last_updated":"2026-05-19T07:26:38Z","snapshot_observed_at":"2026-07-06T23:28:06.971959Z","submitted_at":"2026-05-16T15:35:22Z","title":"1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job?","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-20T15:44:42.461430Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.17046"},"observation_digest":"sha256:4613878c746d0828bff2dd533894946ba4fbb0045bfb30562247669188cba510","observation_id":"0e842580-d0d3-4c56-9077-126254350477","resolution":{"observed_at":"2026-05-20T15:48:32.145878Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.17373","last_updated":"2026-05-29T04:24:32Z","snapshot_observed_at":"2026-07-06T23:28:21.395050Z","submitted_at":"2026-05-17T10:30:38Z","title":"FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-20T14:25:15.565386Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.17373"},"observation_digest":"sha256:5106aacc4c8c2d5514343e865008d35cb07eff65aa7da1497c7ebb65e7ae7da5","observation_id":"9497140e-f1c6-428c-9e26-867c56e2aa5e","resolution":{"observed_at":"2026-05-20T14:28:21.460822Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.17373","last_updated":"2026-05-29T04:24:32Z","snapshot_observed_at":"2026-07-06T23:28:21.395050Z","submitted_at":"2026-05-17T10:30:38Z","title":"FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-30T19:00:30.961402Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.17373"},"observation_digest":"sha256:2a82c7f88821b522e0ed1c81aeb607a63a7769c17eb28481b8472121f0e70dbc","observation_id":"e839eff3-c6e0-4a8f-852a-cab78686765b","resolution":{"observed_at":"2026-06-30T19:05:00.931020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.17675","last_updated":"2026-07-27T19:23:36Z","snapshot_observed_at":"2026-08-02T13:48:35.917285Z","submitted_at":"2026-05-17T22:08:52Z","title":"Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-19T22:07:11.177348Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.17675"},"observation_digest":"sha256:d9521e264bbb7f26c4cdcd3bd1eff2a147a8506f1ecf8e1b125d043912b3f935","observation_id":"7c5c07ab-a7da-48ec-90d0-ce312419b362","resolution":{"observed_at":"2026-05-19T22:07:49.177860Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-02T13:48:38.143010Z","title":"arXiv preprint arXiv:2504.08066 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.17675","last_updated":"2026-07-27T19:23:36Z","snapshot_observed_at":"2026-08-02T13:48:35.917285Z","submitted_at":"2026-05-17T22:08:52Z","title":"Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T13:48:38.143010Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.17675"},"observation_digest":"sha256:b25660fbf555410c9fdd5975f71d8567ac2a27e1acd03c866c092f08e53a8d2f","observation_id":"fd5ea269-b785-4cc6-83fa-64531c04a0b1","resolution":{"observed_at":"2026-08-02T13:48:38.143010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.18661","last_updated":"2026-07-20T17:24:03Z","snapshot_observed_at":"2026-08-02T13:43:29.187658Z","submitted_at":"2026-05-18T17:08:26Z","title":"AI for Auto-Research: Roadmap & User Guide","version":1},"reference_index":229,"source":"pdf_text","source_observed_at":"2026-05-20T10:30:50.256635Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.18661"},"observation_digest":"sha256:cdb9bfa9ddcb93a2dc472c4baad193dbec19c4aa06baff0b2fc107c793e05a36","observation_id":"12407513-d415-4fe9-996b-7047b95b9973","resolution":{"observed_at":"2026-05-20T10:33:12.746523Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-02T13:43:50.794949Z","title":"Yamada, R","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.18661","last_updated":"2026-07-20T17:24:03Z","snapshot_observed_at":"2026-08-02T13:43:29.187658Z","submitted_at":"2026-05-18T17:08:26Z","title":"AI for Auto-Research: Roadmap & User Guide","version":2},"reference_index":228,"source":"pdf_text","source_observed_at":"2026-08-02T13:43:50.794949Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.18661"},"observation_digest":"sha256:e514d660f5bd8f6e0664ef5f4b95c75a3e0063c98f2d7a0d4b67b3435d4c1335","observation_id":"a6c24b9a-60bf-49fc-8816-a15c20c811b7","resolution":{"observed_at":"2026-08-02T13:43:50.794949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.19156","last_updated":"2026-05-18T22:20:33Z","snapshot_observed_at":"2026-08-03T08:44:53.272172Z","submitted_at":"2026-05-18T22:20:33Z","title":"How Far Are We From True Auto-Research?","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-20T09:56:16.160551Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.19156"},"observation_digest":"sha256:bad5f1078ac18b1cdb17054e7f8ee5e95c10082f648ac4b5acc1bc672acd2560","observation_id":"af068e47-a027-4e8d-9063-96c94126e92c","resolution":{"observed_at":"2026-05-20T09:58:11.269496Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.20025","last_updated":"2026-05-23T19:12:21Z","snapshot_observed_at":"2026-07-06T23:30:39.512029Z","submitted_at":"2026-05-19T15:49:51Z","title":"AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-20T05:22:56.341333Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.20025"},"observation_digest":"sha256:7daadbf8e6ea1af8fda0f644f0354337157073b71d503c45133a2eeb216ff21d","observation_id":"9572a989-a05f-4b49-8116-4eb5046941b7","resolution":{"observed_at":"2026-05-20T05:23:03.568393Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.20025","last_updated":"2026-05-23T19:12:21Z","snapshot_observed_at":"2026-07-06T23:30:39.512029Z","submitted_at":"2026-05-19T15:49:51Z","title":"AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T18:07:57.905347Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.20025"},"observation_digest":"sha256:09477f64208a1d16a3a9f8794cee8544bf74570bc40a68f60c671fd4783486a6","observation_id":"ee6840d0-bf78-46d4-b221-4b3a93704835","resolution":{"observed_at":"2026-07-01T15:05:47.872058Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.21481","last_updated":"2026-05-20T17:59:03Z","snapshot_observed_at":"2026-08-02T10:16:35.192642Z","submitted_at":"2026-05-20T17:59:03Z","title":"AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-21T03:58:01.585170Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.21481"},"observation_digest":"sha256:efa8191fdc01877ff89288d7d923c6cc71a7dd40dcb1f12df99a08740b334ced","observation_id":"0cd3da75-51b6-4341-91d0-41056560cddd","resolution":{"observed_at":"2026-05-21T03:59:32.467613Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.21825","last_updated":"2026-05-20T23:49:28Z","snapshot_observed_at":"2026-08-02T02:00:01.682685Z","submitted_at":"2026-05-20T23:49:28Z","title":"Toward AI VIS Co-Scientists: A General and End-to-End Agent Harness for Solving Complex Data Visualization Tasks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-22T08:24:42.170351Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.21825"},"observation_digest":"sha256:35a5b34b6bf7a2ccc8cbc4d97d299b2face10c39d1a759d1877b81375be71fbe","observation_id":"b2404352-63ff-4978-a756-46c5395f3451","resolution":{"observed_at":"2026-05-22T08:24:45.033463Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.22343","last_updated":"2026-05-21T11:29:08Z","snapshot_observed_at":"2026-08-02T10:20:39.399288Z","submitted_at":"2026-05-21T11:29:08Z","title":"Sibyl-AutoResearch: Autonomous Research Needs Self-Evolving Trial-and-Error Harnesses, Not Paper Generators","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-22T02:05:05.934682Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.22343"},"observation_digest":"sha256:febd9019a09d2bb15efdb9528c5ffaeed87d6037c412f06bf243f3d634b751ea","observation_id":"95b18a80-e69c-4d57-b2d4-5fb481e6475a","resolution":{"observed_at":"2026-05-22T02:05:55.466412Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.22662","last_updated":"2026-05-21T16:02:53Z","snapshot_observed_at":"2026-07-30T00:06:10.914933Z","submitted_at":"2026-05-21T16:02:53Z","title":"Claw AI Lab: An Autonomous Multi-Agent Research Team","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-22T05:34:47.410721Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.22662"},"observation_digest":"sha256:6048af03bb452cb4bef5e3ab8671f679bedbe5d0b12b6956fd545f2518924027","observation_id":"787d05c2-6637-4ea8-9ed4-ee37b1e7d7ee","resolution":{"observed_at":"2026-05-22T05:36:06.936779Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.22681","last_updated":"2026-07-18T20:33:32Z","snapshot_observed_at":"2026-08-02T13:31:38.903992Z","submitted_at":"2026-05-21T16:23:36Z","title":"Scientific reasoning does not reliably translate into scientific forecasting in frontier AI","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-22T05:18:15.358571Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.22681"},"observation_digest":"sha256:6c822329952f7e0cb5f8f33e0a0fa175c91d17d33c03225e1d9fa015d7e8ca5e","observation_id":"bab541fe-69a1-4c2f-af98-9b1784ce8d79","resolution":{"observed_at":"2026-05-22T05:21:07.423067Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-02T13:31:46.313828Z","title":"The ai scientist-v2: Workshop-level automated scientific discovery via agentic tree search.arXiv preprint arXiv:2504.08066, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.22681","last_updated":"2026-07-18T20:33:32Z","snapshot_observed_at":"2026-08-02T13:31:38.903992Z","submitted_at":"2026-05-21T16:23:36Z","title":"Scientific reasoning does not reliably translate into scientific forecasting in frontier AI","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T13:31:46.313828Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.22681"},"observation_digest":"sha256:bd3296f9489b251aab606b799562493d68af2f93b3b895e8321c079100c0c83e","observation_id":"7108ede6-2c89-46b4-8d29-0228351d798f","resolution":{"observed_at":"2026-08-02T13:31:46.313828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.22878","last_updated":"2026-05-20T16:03:29Z","snapshot_observed_at":"2026-07-06T23:33:09.561760Z","submitted_at":"2026-05-20T16:03:29Z","title":"SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-25T05:45:54.275921Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.22878"},"observation_digest":"sha256:ea2e7eb2a0f4f71c32a51cf186a37eaff2c23a05b35b2e1274434dd13dea6917","observation_id":"83ae5b14-3cb8-4c65-8ce0-9d6a6b65c3a2","resolution":{"observed_at":"2026-05-25T05:46:39.342644Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.23204","last_updated":"2026-05-22T03:40:30Z","snapshot_observed_at":"2026-07-06T23:33:29.550551Z","submitted_at":"2026-05-22T03:40:30Z","title":"AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T04:46:43.679185Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.23204"},"observation_digest":"sha256:fd46aa91a30f28c38f12f80bad9ee5054da04c9baa5d5a27d3c18279daf78930","observation_id":"f62fec52-af04-4e97-b6a2-01f1a7fcc429","resolution":{"observed_at":"2026-05-25T04:50:21.528011Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.26340","last_updated":"2026-05-25T21:30:27Z","snapshot_observed_at":"2026-07-31T00:39:04.557291Z","submitted_at":"2026-05-25T21:30:27Z","title":"ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-29T21:19:03.281629Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.26340"},"observation_digest":"sha256:f3c3ed7b49fb26bfcf8b5dfc1066076800d58c10a23a2953be873fd9d047f22f","observation_id":"fc40f093-7036-4aec-91f9-025c2cf8a155","resolution":{"observed_at":"2026-06-29T21:23:59.095253Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.27466","last_updated":"2026-05-26T08:10:52Z","snapshot_observed_at":"2026-08-03T04:11:32.266765Z","submitted_at":"2026-05-26T08:10:52Z","title":"AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-01T16:08:56.103382Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.27466"},"observation_digest":"sha256:87451ecc7d9e86e882239b1a299ef9ddb5530e32c9f227fd0acfedd52610f2a0","observation_id":"2997557e-23b1-4e01-9607-b71016202f43","resolution":{"observed_at":"2026-07-01T16:15:49.120738Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.28282","last_updated":"2026-05-27T10:29:00Z","snapshot_observed_at":"2026-08-02T07:32:10.497329Z","submitted_at":"2026-05-27T10:29:00Z","title":"ResearchLoop: An Evidence-Gated Control Plane for AI-Assisted Research","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T11:58:23.295488Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.28282"},"observation_digest":"sha256:67b58e77c6d45a4f57a89bc08fb7a57aaaeb0eab3b86f88874fd5a7330d18944","observation_id":"48da5793-9990-4bfa-9a46-a06d7505fb37","resolution":{"observed_at":"2026-06-29T12:03:24.014438Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.29522","last_updated":"2026-05-28T07:40:10Z","snapshot_observed_at":"2026-07-06T23:38:56.014434Z","submitted_at":"2026-05-28T07:40:10Z","title":"DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T07:12:13.559728Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.29522"},"observation_digest":"sha256:9a163cc18f391a6a9b2a5955db56866f8ea2dd889fd19964c1fac836cfb7492f","observation_id":"d05bd851-ec58-4ccf-be4a-3f943b8c3c3d","resolution":{"observed_at":"2026-06-29T07:13:16.205299Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2605.30329","last_updated":"2026-05-28T17:57:37Z","snapshot_observed_at":"2026-08-02T15:57:39.096979Z","submitted_at":"2026-05-28T17:57:37Z","title":"SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T08:13:42.770740Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2605.30329"},"observation_digest":"sha256:12a5102c90d4fba1ff38eac58d496290c86e5c591e2938a058bd862cf5ff2574","observation_id":"2df53ac8-b7d0-434d-a476-239fc9fe8563","resolution":{"observed_at":"2026-06-29T08:23:15.811720Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.01444","last_updated":"2026-05-31T20:29:43Z","snapshot_observed_at":"2026-08-03T00:56:49.845361Z","submitted_at":"2026-05-31T20:29:43Z","title":"Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T16:51:35.789103Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.01444"},"observation_digest":"sha256:706183e177d0165c5955e9759f296b52c5754bd05a15f072d1880ee6f32e0067","observation_id":"9614076f-be5c-4c73-90f5-e86c0f9b0b29","resolution":{"observed_at":"2026-07-01T21:36:14.501731Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.01975","last_updated":"2026-06-01T09:36:59Z","snapshot_observed_at":"2026-08-02T09:31:53.728888Z","submitted_at":"2026-06-01T09:36:59Z","title":"Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-06-28T14:35:24.936368Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.01975"},"observation_digest":"sha256:c1377c429cc2212af89a6aee5133edec2f052905de95fae89179732707edb954","observation_id":"a7c33bdd-fd76-4793-b18c-795e7673aabe","resolution":{"observed_at":"2026-07-01T23:16:23.690190Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.03108","last_updated":"2026-06-02T03:47:48Z","snapshot_observed_at":"2026-08-02T21:19:39.471703Z","submitted_at":"2026-06-02T03:47:48Z","title":"EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-06-28T10:30:42.057301Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.03108"},"observation_digest":"sha256:39a84134e59d69fb388aef26282eb921f1e330476aadfd804393fef417e190f2","observation_id":"78483e8e-add2-4202-86b9-6f75ba1c7e46","resolution":{"observed_at":"2026-07-02T02:56:29.137487Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.06533","last_updated":"2026-06-03T17:58:14Z","snapshot_observed_at":"2026-08-02T17:01:27.433772Z","submitted_at":"2026-06-03T17:58:14Z","title":"Position: Don't Just \"Fix it in Post\": A Science of AI Must Study Training Dynamics","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.06533"},"observation_digest":"sha256:79024fa67871db4c2d313a66a807f13c1a0290b0c48aa1b3411f04d8b4370914","observation_id":"1e478c50-c5f5-4e25-a553-98bb83672890","resolution":{"observed_at":"2026-06-28T06:31:42.737485Z","resolver_source":"local_arxiv","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.07683","last_updated":"2026-06-05T01:26:07Z","snapshot_observed_at":"2026-08-03T06:24:18.531148Z","submitted_at":"2026-06-05T01:26:07Z","title":"Review the Code, Not the Story: A Vision and Protocol for Code-First Peer Review","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T21:45:03.399754Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.07683"},"observation_digest":"sha256:8885229c296726a34b104b04478fd7e3f654b1d3301846154c7420a5afae8612","observation_id":"5de00940-6cde-404b-808d-b27964cd7788","resolution":{"observed_at":"2026-07-02T18:57:17.036119Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.08340","last_updated":"2026-06-06T21:13:43Z","snapshot_observed_at":"2026-07-31T22:58:06.517022Z","submitted_at":"2026-06-06T21:13:43Z","title":"Benchmarking Open-Ended Multi-Agent Coordination in Language Agents","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-06-27T19:18:56.039587Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.08340"},"observation_digest":"sha256:517e80142584aaa4ce440524d597c24dad8cf247f2d5e9aebc71aa0b89314459","observation_id":"cb41eca6-8e69-42cd-b10a-5246adfd5b41","resolution":{"observed_at":"2026-07-02T21:57:26.492973Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.09498","last_updated":"2026-06-08T13:50:23Z","snapshot_observed_at":"2026-08-01T16:17:07.275923Z","submitted_at":"2026-06-08T13:50:23Z","title":"Self-Harness: Harnesses That Improve Themselves","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T16:25:59.583722Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.09498"},"observation_digest":"sha256:56f3a586511152f68c568ee36bc7a40a0d9840ed9e915b7dbd8ca1f8f2dcf916","observation_id":"f15b2807-6bd1-4fea-9d30-02cd8c0ee00f","resolution":{"observed_at":"2026-07-03T01:37:30.810407Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.09774","last_updated":"2026-06-25T18:32:21Z","snapshot_observed_at":"2026-07-06T23:49:03.237958Z","submitted_at":"2026-06-08T17:35:17Z","title":"Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-27T16:14:26.278017Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.09774"},"observation_digest":"sha256:e6fdfb9bc652642287121709b0c759fa6d804e18d8745833533943834cc8e66e","observation_id":"145174a8-2c80-4598-ae29-bd07acd6aeaf","resolution":{"observed_at":"2026-07-03T01:47:32.126778Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","version":1},"cited_work":{"arxiv_id":"2504.08066","doi":"10.48550/arxiv.2504.08066","metadata_source":"pith","pith_arxiv_id":"2504.08066","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","venue":"cs.AI","work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","year":2025},"citing_paper":{"arxiv_id":"2606.09774","last_updated":"2026-06-25T18:32:21Z","snapshot_observed_at":"2026-07-06T23:49:03.237958Z","submitted_at":"2026-06-08T17:35:17Z","title":"Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-06-29T05:25:29.078764Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2606.09774"},"observation_digest":"sha256:c8e3cb3035b2f4fad947d2c106c7b3644291a94e642bc8b9fddd8e5c7dcafef6","observation_id":"73729e09-4efc-41de-bf4f-07fe4a628bb3","resolution":{"observed_at":"2026-06-29T15:23:33.001184Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:27.206897+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.08066/citation-record","integrity":"/paper/2504.08066/integrity","json":"/paper/2504.08066/citation-record.json","paper":"/paper/2504.08066"},"outbound":[],"paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-01T14:58:15.255937Z","submitted_at":"2025-04-10T18:44:41Z","title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2504.08066."}