{"as_of":"2026-08-23T12:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c758c1cd656226c7d910c03068755578f1cf63ea007058679667c9a353874d9f","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:22:10.154218Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.12788/citation-record","integrity":"/paper/2608.12788/integrity","json":"/paper/2608.12788/citation-record.json","paper":"/paper/2608.12788"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:09.934851Z","title":"Evaluating sakana’s ai scientist: Bold claims, mixed results, and a promising future? InACM SIGIR Forum, volume 59, pages 1–20","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.934851Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:c83e7dbf10a107a90a9a844ef20e0adb86339eec3755baf0a32c2b317fe96f69","observation_id":"837e3b85-6ca7-46e4-9f83-55a2a5e52d6c","resolution":{"observed_at":"2026-08-15T23:22:09.934851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:09.940352Z","title":"Scienceagentbench: Toward rigorous assessment of language agents for data-driven scientific discovery","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.940352Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:78dbf0e287313c46e303738c7b1c381547492d0c257782ca09fb59ccf3cd4b14","observation_id":"91beca49-2f11-4ad9-aa80-5f29175476a9","resolution":{"observed_at":"2026-08-15T23:22:09.940352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08506","last_updated":"2025-07-16T08:29:02Z","snapshot_observed_at":"2026-08-21T08:31:34.948343Z","submitted_at":"2025-03-11T14:56:58Z","title":"ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.08506","snapshot_observed_at":"2026-08-15T23:22:09.945466Z","title":"Re- viewagents: Bridging the gap between human and ai-generated paper reviews.arXiv preprint arXiv:2503.08506, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.945466Z"},"links":{"cited_paper":"/paper/2503.08506","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:ae47988baa929925c5f464a0779ac8c8fded301e713b41103737ac43927ac022","observation_id":"1754ece2-f1dd-4524-8965-c72b247250cd","resolution":{"observed_at":"2026-08-15T23:22:09.945466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18864","last_updated":"2025-02-26T06:17:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-26T06:17:13Z","title":"Towards an AI co-scientist","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18864","snapshot_observed_at":"2026-08-15T23:22:09.950535Z","title":"Towards an ai co-scientist","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.950535Z"},"links":{"cited_paper":"/paper/2502.18864","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:f03234e0d511e5a50ccdebd5869bcffdab544e7e53d076b8a436ae21a4407fb8","observation_id":"d0461adf-1559-4675-9c95-143f515439d3","resolution":{"observed_at":"2026-08-15T23:22:09.950535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.136412Z","title":"Accelerating scien- tific discovery with co-scientist.Nature, pages 1–3, 2026","venue":null,"work_id":"e3f99cc3-69d4-46dc-893d-d45369fa7005","year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.955698Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:6869865ffac05731a15fa97ef01e869ce73cebbd9396f2ec6b79baa10ec49704","observation_id":"38739797-ac74-41d6-8ca1-8cc2551187a2","resolution":{"observed_at":"2026-08-15T23:22:11.142355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.22638","last_updated":"2026-05-09T21:03:52Z","snapshot_observed_at":"2026-07-06T22:43:41.372821Z","submitted_at":"2026-01-30T06:54:55Z","title":"ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.22638","snapshot_observed_at":"2026-08-15T23:22:09.960306Z","title":"Scholarpeer: A context-aware multi-agent framework for automated peer review.arXiv preprint arXiv:2601.22638, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.960306Z"},"links":{"cited_paper":"/paper/2601.22638","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:af9129f2f8aa81a920e19f3e45d07917ca70809668f2aec94a8459c45f424dd5","observation_id":"d565f103-abe0-47d4-b5f8-6318c7cdab03","resolution":{"observed_at":"2026-08-15T23:22:09.960306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.120551Z","title":"Openreviewer: A specialized large language model for gen- erating critical scientific paper reviews","venue":null,"work_id":"6981c13a-9644-45d4-9b57-77b000641462","year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.965558Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:35e578f3122512276c3ca5b164dca4e596e76c2cbc1e7d322b0d3d916e8e56aa","observation_id":"fa1f8b57-1835-4f51-985d-23b92df3ae98","resolution":{"observed_at":"2026-08-15T23:22:11.125673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.11926","last_updated":"2026-06-10T10:57:05Z","snapshot_observed_at":"2026-08-09T20:13:04.512653Z","submitted_at":"2026-06-10T10:57:05Z","title":"Toward Generalist Autonomous Research via Hypothesis-Tree Refinement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.11926","snapshot_observed_at":"2026-08-15T23:22:09.970055Z","title":"Toward generalist autonomous research via hypothesis-tree refinement, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.970055Z"},"links":{"cited_paper":"/paper/2606.11926","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:7e8a2a56ab4a17593a53b4a1a9165a5bc056c72d3d3586498c24d19f6bc8a9cf","observation_id":"bb38a7d8-10db-4b60-a031-ba15e54f34aa","resolution":{"observed_at":"2026-08-15T23:22:09.970055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.102237Z","title":"Scientific agent skills: A comprehensive collection of scientific tools for ai agents,","venue":null,"work_id":"ceb0e879-24bf-4003-8c63-8376b1050491","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.975209Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:f89389a0dbf3b499f0b05b3eb4e89d52f13fd84ddfc614a945d68748c71f3e39","observation_id":"6bfa9d87-b537-44d4-b1de-54485fb40dc9","resolution":{"observed_at":"2026-08-15T23:22:11.107916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.18661","last_updated":"2026-07-20T17:24:03Z","snapshot_observed_at":"2026-08-19T01:19:48.793908Z","submitted_at":"2026-05-18T17:08:26Z","title":"AI for Auto-Research: Roadmap & User Guide","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.18661","snapshot_observed_at":"2026-08-15T23:22:09.987376Z","title":"Ai for auto-research: Roadmap & user guide.arXiv preprint arXiv:2605.18661, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.987376Z"},"links":{"cited_paper":"/paper/2605.18661","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:6ab94af94339893c2f796639e3c8861b45524d1eadd75bb66442fdb16a4f5e21","observation_id":"7dabec48-f34b-4782-8534-810760ce31fa","resolution":{"observed_at":"2026-08-15T23:22:09.987376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.05550","last_updated":"2026-05-25T14:50:02Z","snapshot_observed_at":"2026-08-11T10:09:03.094830Z","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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.05550","snapshot_observed_at":"2026-08-15T23:22:09.993157Z","title":"Autosota: An end-to-end automated research system for state-of-the-art ai model discovery.arXiv preprint arXiv:2604.05550, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.993157Z"},"links":{"cited_paper":"/paper/2604.05550","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:5308d11989d0cad03bd9ba8cfd0362c9a73e99dd163bc7945608d0c46c476329","observation_id":"3df64ecf-5ef3-4c9f-bbc3-f3f150e68e55","resolution":{"observed_at":"2026-08-15T23:22:09.993157Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.20025","last_updated":"2026-05-23T19:12:21Z","snapshot_observed_at":"2026-08-20T21:37:49.079185Z","submitted_at":"2026-05-19T15:49:51Z","title":"AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.20025","snapshot_observed_at":"2026-08-15T23:22:09.998158Z","title":"Autoresearchclaw: Self-reinforcing autonomous research with human- ai collaboration.arXiv preprint arXiv:2605.20025, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.998158Z"},"links":{"cited_paper":"/paper/2605.20025","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:b239e26974469dbffccee52dcc02c753c95deadc1da5cf2c86c8606fa5cc6759","observation_id":"00247a62-ad65-4c3e-900d-82600de9ab6b","resolution":{"observed_at":"2026-08-15T23:22:09.998158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21248","last_updated":"2026-04-20T16:53:43Z","snapshot_observed_at":"2026-07-06T20:59:31.273397Z","submitted_at":"2025-03-27T08:09:15Z","title":"ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.21248","snapshot_observed_at":"2026-08-15T23:22:10.003525Z","title":"Researchbench: Benchmarking llms in scientific discovery via inspiration-based task decomposition.arXiv preprint arXiv:2503.21248, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.003525Z"},"links":{"cited_paper":"/paper/2503.21248","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:66ae5c9eceb79b3950eec0ddb38aefb10e0da7873b0c7bf2f88f709c77bf9c99","observation_id":"ec583582-fb9e-48a4-a630-2995afe09bdc","resolution":{"observed_at":"2026-08-15T23:22:10.003525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.008508Z","title":"Evoscientist: Towards multi-agent evolving ai scientists for end-to-end scientific discovery.arXiv preprint arXiv:2603.08127, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.008508Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:d05ea05c7c93c195289a9925e58cec337e10cbeb489e0937cea1ccd062f6f00c","observation_id":"2fb12a80-dfa2-4381-a2b2-ce899e71c465","resolution":{"observed_at":"2026-08-15T23:22:10.008508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.067938Z","title":"Ai research skills library, 2025","venue":null,"work_id":"ead89463-dd52-45bf-ae6e-b2c71ff0e312","year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.013282Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:806940487d8c837276f6bd121cec1e2164dfe932a4a7235ba67d324dc3734034","observation_id":"a2fa49c7-3b91-45dc-bdca-5087908c505c","resolution":{"observed_at":"2026-08-15T23:22:11.073249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.31468","last_updated":"2026-05-29T16:00:04Z","snapshot_observed_at":"2026-08-09T19:30:50.918234Z","submitted_at":"2026-05-29T16:00:04Z","title":"AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.31468","snapshot_observed_at":"2026-08-15T23:22:10.017910Z","title":"Autosci: A memory-centric agentic system for the full scientific research lifecycle.arXiv preprint arXiv:2605.31468, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.017910Z"},"links":{"cited_paper":"/paper/2605.31468","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:56656933e630be91cf08a44caa10d26117d0ae88c5cdc2f99b9571f7feeb1d9b","observation_id":"3676b801-0808-4bcc-87be-604b56358134","resolution":{"observed_at":"2026-08-15T23:22:10.017910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.046001Z","title":"Agent laboratory: Using llm agents as research assistants.Findings of the Association for Computational Linguistics: EMNLP 2025, pages 5977– 6043, 2025","venue":null,"work_id":"dd8befac-9667-4452-897b-82c9135f5497","year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.022134Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:d86b4b117b211ae30e1b91a16e898e7100c889c3d3d04a4767dc0db337a79138","observation_id":"ae811e8b-0469-435f-9a9c-1b9c2eb79d52","resolution":{"observed_at":"2026-08-15T23:22:11.052285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.029435Z","title":null,"venue":null,"work_id":"0cf90198-321a-480d-85f3-fbe4aa2f2ec0","year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.026101Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:d9a7df0891acf08be596a249ea22ce1bd96b18d3d29c9d6d5d67f11728cc8b32","observation_id":"4dc9970e-3ad3-4270-8b3b-7eca867269e2","resolution":{"observed_at":"2026-08-15T23:22:11.034334Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01848","last_updated":"2025-04-07T12:15:49Z","snapshot_observed_at":"2026-07-06T21:03:06.857885Z","submitted_at":"2025-04-02T15:55:24Z","title":"PaperBench: Evaluating AI's Ability to Replicate AI Research","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.01848","snapshot_observed_at":"2026-08-15T23:22:10.030184Z","title":"Paperbench: Evaluating ai’s ability to replicate ai research.arXiv preprint arXiv:2504.01848, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.030184Z"},"links":{"cited_paper":"/paper/2504.01848","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:fe313fc8b6ba2d190f17460369b3ee1f5f13c480ba2da1723166b72540ae03ea","observation_id":"c6418bed-5e5a-41cf-a9ed-70dd9babd05a","resolution":{"observed_at":"2026-08-15T23:22:10.030184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.006843Z","title":"Ai-researcher: Autonomous scientific innovation.Advances in Neural Information Processing Systems, 38:9481–9520, 2026","venue":null,"work_id":"fc70ffde-2281-426b-8090-060a0a2a063f","year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.034363Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:04769d389dc9377f3ce615229bc74250cb2a631325b05b9c15ceac247c4d0358","observation_id":"3d2d5d19-cd2e-4715-aeed-4bd016dd58cd","resolution":{"observed_at":"2026-08-15T23:22:11.017696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.23204","snapshot_observed_at":"2026-08-15T23:22:10.038445Z","title":"Autoresearch ai: Towards ai-powered research automation for scientific discovery.arXiv preprint arXiv:2605.23204, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.038445Z"},"links":{"cited_paper":"/paper/2605.23204","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:97d19a045deee129605c5bf26ee88ba77851fb283faf51a11028cda590d86899","observation_id":"89873eba-9153-47aa-97f7-2ffadc547fb5","resolution":{"observed_at":"2026-08-15T23:22:10.038445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.988990Z","title":"Autonomous ‘self-driving’laboratories: a review of tech- nology and policy implications.Royal Society Open Science, 12(7):250646, 2025","venue":null,"work_id":"36f35752-4bd5-4b68-9ef1-a2f4182113c2","year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.042798Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:29cfda8fbc3b6174ae93028c88451ee192c753dc8d5e3854da2139b5e2a78e7d","observation_id":"2d25e1e3-ec2f-4889-9657-766be2fe770b","resolution":{"observed_at":"2026-08-15T23:22:10.994659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.969498Z","title":"Deep research arena: The first exam of llms’ research abilities via seminar- grounded tasks","venue":null,"work_id":"5c6eac33-2a94-4555-93a8-ba64beb01052","year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.046841Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:b9316b16dba0703d80b4c8759ab10858363bf0becc8626d49243c593634c98fa","observation_id":"fb725c3f-9f6e-43f9-a12b-51be173d0594","resolution":{"observed_at":"2026-08-15T23:22:10.974974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.02905","last_updated":"2026-07-10T18:07:40Z","snapshot_observed_at":"2026-08-21T02:11:00.048335Z","submitted_at":"2026-02-02T23:21:13Z","title":"FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.02905","snapshot_observed_at":"2026-08-15T23:22:10.051070Z","title":"Fire-bench: Evaluating agents on the rediscovery of scientific insights.arXiv preprint arXiv:2602.02905, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.051070Z"},"links":{"cited_paper":"/paper/2602.02905","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:7d63b035cdca074c8a9cef83c85f7e0beb1a237693437a2594278987781126f5","observation_id":"d0398953-3ace-4068-b09a-45f52d3761a1","resolution":{"observed_at":"2026-08-15T23:22:10.051070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.055877Z","title":"From ai for science to agentic science: A survey on autonomous scientific discovery.arXiv preprint arXiv:2508.14111, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.055877Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:74d9ccfc4d7bceef2804221c95de0dfb97eb341778ae15b6fe2df8948bbb72c2","observation_id":"b57e7ee5-d1f0-4349-a612-7251b5fd6bda","resolution":{"observed_at":"2026-08-15T23:22:10.055877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.951428Z","title":"Cycleresearcher: Improving automated research via automated review","venue":null,"work_id":"0e98f4e9-53e0-4ff9-baf7-068397c70c6d","year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.061067Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:e3cdb6145213846bbacda0ce4dcc0afa8a6e67d9266042aa28baddd9aa564b2f","observation_id":"5b5cb6f0-cc13-4965-9dd1-f8ba95a21d51","resolution":{"observed_at":"2026-08-15T23:22:10.957745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.065647Z","title":"Deepscien- tist: Advancing frontier-pushing scientific findings progressively.arXiv preprint arXiv:2509.26603, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.065647Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:b2f036ebd24e12e70314f246dcf198b744493753834cf94780f30e4ee849dc64","observation_id":"3fa4f5b0-79df-4c64-9d55-24e57dc9128c","resolution":{"observed_at":"2026-08-15T23:22:10.065647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.09590","last_updated":"2026-03-03T09:02:17Z","snapshot_observed_at":"2026-08-13T01:59:33.656846Z","submitted_at":"2026-03-03T09:02:17Z","title":"DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.09590","snapshot_observed_at":"2026-08-15T23:22:10.070174Z","title":"Deepreviewer 2.0: A traceable agentic system for auditable scientific peer review.arXiv preprint arXiv:2604.09590, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.070174Z"},"links":{"cited_paper":"/paper/2604.09590","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:9a500ae386bf104c3983546851163a5c848ccdc6ab82f66d41b22012669d78e3","observation_id":"ade2d7c3-1be6-4b1c-9cc5-cb1b773b525d","resolution":{"observed_at":"2026-08-15T23:22:10.070174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.22662","last_updated":"2026-05-21T16:02:53Z","snapshot_observed_at":"2026-08-18T07:05:00.738591Z","submitted_at":"2026-05-21T16:02:53Z","title":"Claw AI Lab: An Autonomous Multi-Agent Research Team","version":1},"cited_work":{"arxiv_id":"2605.22662","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.22662","snapshot_observed_at":"2026-08-15T23:22:10.293200Z","title":"Claw AI Lab: An Autonomous Multi-Agent Research Team","venue":"cs.AI","work_id":"ee2b8a22-005f-4329-9d72-0be06d79a60c","year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.075020Z"},"links":{"cited_paper":"/paper/2605.22662","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:3b0466d0ba5f82725fb216bafb9e11bdcf93256067031aaf503ecd21fda4db46","observation_id":"865281dc-c736-49b3-a199-3f1f2cd74559","resolution":{"observed_at":"2026-08-15T23:22:10.299133Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.25256","last_updated":"2026-04-28T06:05:17Z","snapshot_observed_at":"2026-08-15T09:13:34.731473Z","submitted_at":"2026-04-28T06:05:17Z","title":"AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.25256","snapshot_observed_at":"2026-08-15T23:22:10.080145Z","title":"Autoresearchbench: Benchmarking ai agents on complex scientific literature discovery.arXiv preprint arXiv:2604.25256, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.080145Z"},"links":{"cited_paper":"/paper/2604.25256","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:a75d9086146cd6cf611c726fe5c6be0b132b6370f89c6bef3eecf7f63d3eaaf4","observation_id":"9c84922d-b647-407c-9514-e669fceab086","resolution":{"observed_at":"2026-08-15T23:22:10.080145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.10813","last_updated":"2026-05-11T16:33:47Z","snapshot_observed_at":"2026-08-19T22:58:30.797861Z","submitted_at":"2026-05-11T16:33:47Z","title":"NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation","version":1},"cited_work":{"arxiv_id":"2605.10813","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.10813","snapshot_observed_at":"2026-08-15T23:22:10.250446Z","title":"NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation","venue":"cs.AI","work_id":"90f000eb-b7a9-47db-86bc-579d505cc5ed","year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.085426Z"},"links":{"cited_paper":"/paper/2605.10813","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:48c6c7a6d2990f604067da4d1a0523b28354f9b7ccdc561485671a3c2c4141e2","observation_id":"eb789eff-8827-42ef-8170-8370ff9afffb","resolution":{"observed_at":"2026-08-15T23:22:10.257907Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.08066","last_updated":"2025-04-10T18:44:41Z","snapshot_observed_at":"2026-08-10T03:18:36.275195Z","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":"2026-08-15T23:22:10.089802Z","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":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.089802Z"},"links":{"cited_paper":"/paper/2504.08066","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:cac9dc381efeb966edeeb7eff9da4a3feab4046f7c4bf72c234e5ae4eb6d7f66","observation_id":"78a889c4-bdd2-4d14-a10c-a31fca55de40","resolution":{"observed_at":"2026-08-15T23:22:10.089802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.03042","last_updated":"2026-05-04T18:10:15Z","snapshot_observed_at":"2026-08-15T15:55:10.344136Z","submitted_at":"2026-05-04T18:10:15Z","title":"ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.03042","snapshot_observed_at":"2026-08-15T23:22:10.095462Z","title":"Aris: Autonomous research via adversarial multi-agent collaboration.arXiv preprint arXiv:2605.03042, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.095462Z"},"links":{"cited_paper":"/paper/2605.03042","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:c4f554666f0d4994b2ee0090a9916d8249b9bedc9391561027bfdb1c70efac2e","observation_id":"a6caa9d0-77c8-4e26-9d64-424f3bbea0c5","resolution":{"observed_at":"2026-08-15T23:22:10.095462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20662","last_updated":"2026-04-24T06:03:13Z","snapshot_observed_at":"2026-08-15T07:09:57.099867Z","submitted_at":"2025-05-27T03:15:21Z","title":"AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.20662","snapshot_observed_at":"2026-08-15T23:22:10.100345Z","title":"Autoreproduce: Automatic ai experiment reproduction with paper lineage.arXiv preprint arXiv:2505.20662, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.100345Z"},"links":{"cited_paper":"/paper/2505.20662","citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:2707e2d3b8cc2c60714a064456762218a6e100ff3439fec393414ef6e8451122","observation_id":"3a653e6d-da59-4aad-9aed-55f797d8ef5f","resolution":{"observed_at":"2026-08-15T23:22:10.100345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.935175Z","title":"From automation to autonomy: A survey on large language models in scientific discovery","venue":null,"work_id":"94d312df-7dc3-4234-a47e-9d6f86880dbc","year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.105216Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:86087bffec012dbd00632cc8d1dbc8f94ab8b38357a51340b96cf62ea0320204","observation_id":"32f4f5b1-3a7b-49dd-a3d8-fedd508a513d","resolution":{"observed_at":"2026-08-15T23:22:10.939794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.920025Z","title":"Deepreview: Improving llm-based paper review with human-like deep thinking process","venue":null,"work_id":"1699b058-fa0d-40ee-b03c-039dec4fa82e","year":2025},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.110355Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:7551b57c533d56929ad9a05d4298bbb9d39f80658880fce0e8eaa3ddda1a467e","observation_id":"64a02b4b-f104-4c64-80ee-687bd2366297","resolution":{"observed_at":"2026-08-15T23:22:10.924719Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.903666Z","title":null,"venue":null,"work_id":"de848e6c-6d36-4dd6-a56d-8ad9019d8010","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.116564Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:193d9a85777b9d4918d4957425692655a860b1332a9a997c1d61414a5ecff488","observation_id":"3aad24cd-a8a8-4615-8582-7701ef3e15c7","resolution":{"observed_at":"2026-08-15T23:22:10.908471Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.886128Z","title":null,"venue":null,"work_id":"c81b5a1d-71a1-4eb3-a459-692c6bf79335","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.121450Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:ce475e33b25d9b478cb1030cb794610c0b5228ae26c583934237fa39c3383a31","observation_id":"bf43fdd4-2c21-4851-99dc-0d1893248a71","resolution":{"observed_at":"2026-08-15T23:22:10.891113Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.868567Z","title":"• Dependency Check: Inspect ‘requirements.txt‘ or ‘environment.yml‘ to verify whether special dependency libraries mentioned in the proposal are included","venue":null,"work_id":"da962478-95a4-4240-a7ca-20b396b872cd","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.126540Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:2f881ae59bf22104a6125b5fcbb8b1a06d433b59763eb4f5be9ede25e8e15479","observation_id":"87f9150d-0c94-4972-942a-065fc6beccb5","resolution":{"observed_at":"2026-08-15T23:22:10.874155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.850602Z","title":null,"venue":null,"work_id":"20dbc0fc-b9b1-40a2-8cd6-6a1fd9e81eae","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.132307Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:0771c21d9ad8f2ff34dce635ef5d8214ab5f6e706eaa98ed3e427fc76ba8440d","observation_id":"39e47542-6c1d-4a64-a53f-6d450e9fa409","resolution":{"observed_at":"2026-08-15T23:22:10.856599Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.834326Z","title":null,"venue":null,"work_id":"d62ca990-b9b8-44e5-b903-1bab33115f7a","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.137104Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:9df634aeb461e694978eef496e645b6e556ae885eef2960abfb96d484fc71167","observation_id":"b09c3f60-f9ab-46ee-b106-3331d85d3b3e","resolution":{"observed_at":"2026-08-15T23:22:10.838552Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.819421Z","title":null,"venue":null,"work_id":"701ca690-2f73-4efb-983f-8325c87c5677","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.141397Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:d809092268c8575762c6024554e2a942308c328718731f013125f0584267168a","observation_id":"338ba150-e200-4493-8040-6bfca7edcfed","resolution":{"observed_at":"2026-08-15T23:22:10.823661Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.803579Z","title":null,"venue":null,"work_id":"65889869-39e4-4cb6-96db-d34e1a57b76c","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.145895Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:7b8a7b9bae94288a37317988250f0d58647ab0458ac0837bbfa4db71b54f3d2f","observation_id":"c74a43d5-3ead-4a50-8d9c-81b14338fc56","resolution":{"observed_at":"2026-08-15T23:22:10.808166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.785138Z","title":null,"venue":null,"work_id":"b8159b7b-bf0f-4934-b69f-dbd14bb2b0cf","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.150106Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:0abd5b957d812b846449556d92a26c69adb7afb74bd0aa3ab3d741e541046218","observation_id":"6223d3b0-7805-407d-8bdb-59ed874b2b93","resolution":{"observed_at":"2026-08-15T23:22:10.790542Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:10.767165Z","title":null,"venue":null,"work_id":"fc2b73d2-65b1-42fb-bfdc-d8378185de91","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:10.154218Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:e3184e8186a71278495487779e73c92a8d240bbbfd9e241c4dd82a87e79295cb","observation_id":"1ecbd36f-4467-4239-81a7-086002fb8aee","resolution":{"observed_at":"2026-08-15T23:22:10.772154Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:22:11.085213Z","title":"148 skills cov- ering databases, packages, integrations, and analysis tools","venue":null,"work_id":"5d56284f-b849-49a8-ac2b-0556a7238b64","year":null},"citing_paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-15T23:22:09.980831Z"},"links":{"citing_paper":"/paper/2608.12788"},"observation_digest":"sha256:f481fce0bf2bcc2b82a4212ad78ceb12ec95d44f4210fe30ba98de7707870d8f","observation_id":"d65c0cc7-9d67-42cb-b331-c0baab7bd2e7","resolution":{"observed_at":"2026-08-15T23:22:11.090546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.12788","last_updated":"2026-08-13T03:48:07Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-20T04:51:03.577023Z","submitted_at":"2026-08-13T03:48:07Z","title":"ARAC: Benchmarking Auto-Research's Alignment and Completeness on End-to-End Researchs"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":2,"verified_fuzzy":12},"total_outbound_references":46},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.12788."}