{"as_of":"2026-08-08T23:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:586fcdb9c353eec42a23ed9da4673acfd24ec6079cf8a58fa1c249c1d0f1b289","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T00:10:09.277791Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2608.04270/citation-record","integrity":"/paper/2608.04270/integrity","json":"/paper/2608.04270/citation-record.json","paper":"/paper/2608.04270"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T00:10:09.708551Z","title":"Scientific workflow management and the kepler system,","venue":null,"work_id":"2d5472b1-d305-4474-a87e-b9bb2164874b","year":2006},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.149154Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:c44f09f14914cb8006eca23714b1fcec63f7f633c5487e272e03a0c2385e1a80","observation_id":"f677988d-ba34-4847-b92b-8c23165a7a67","resolution":{"observed_at":"2026-08-08T00:10:09.712154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.698443Z","title":"Workflows and e-science: An overview of workflow system features and capabilities,","venue":null,"work_id":"318f5050-ed0a-4777-a877-d4de5ccddb7a","year":2009},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.153342Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:7efa6b767b6bf2061b41ea2a0609d8339175d55c8126c9234bf5e43184dac8f5","observation_id":"8a9554ed-3c54-454c-a215-92531dd56ae2","resolution":{"observed_at":"2026-08-08T00:10:09.702012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.688601Z","title":"A community roadmap for scientific workflows research and development,","venue":null,"work_id":"2701c9ef-3bf2-4ded-9624-afa99b1b33de","year":2021},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.157130Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:ad8d8e98380e3b31a9ec4e6010149d343c7dd01829b73c46616fa855282dc914","observation_id":"8ba89765-3dd5-48b2-83e8-31e349a6ba8e","resolution":{"observed_at":"2026-08-08T00:10:09.692317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.677296Z","title":"Llms for science: Usage for code generation and data analysis,","venue":null,"work_id":"e4b3afb3-4366-41bf-9b71-9bc9d476dd1a","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.161238Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:bbc937d93dd436aaec593ae98528c7bc52ffdc06bd612e23d5986f081c628a3e","observation_id":"2afaef4e-9091-449f-a0ba-4138df4205dc","resolution":{"observed_at":"2026-08-08T00:10:09.681257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.667390Z","title":"Leveraging large language models for code translation and software development in scientific computing,","venue":null,"work_id":"a59f6c21-4c65-4155-b93d-a82eec80855a","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.164891Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:126a49ba263ad94508c58709f35ceee395a687f5cf18518948b3762d0beb7f11","observation_id":"59cebd4e-e40c-4af9-9dcd-a9caed4ab1d3","resolution":{"observed_at":"2026-08-08T00:10:09.671145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.656015Z","title":"Llm4workflow: An llm-based automated workflow model generation tool,","venue":null,"work_id":"a8a19fac-bf1b-4282-a9c6-2fb405d0be46","year":2024},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.168600Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:36a4398ca7e82913886afbc721140ab6f28943a1f5a7b5464ce0c8b28890d7e5","observation_id":"c785340e-6556-45f8-9d36-ee64da0f10f3","resolution":{"observed_at":"2026-08-08T00:10:09.660865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04761","last_updated":"2023-02-09T16:49:57Z","snapshot_observed_at":"2026-07-06T14:50:07.491434Z","submitted_at":"2023-02-09T16:49:57Z","title":"Toolformer: Language Models Can Teach Themselves to Use Tools","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04761","snapshot_observed_at":"2026-08-08T00:10:09.172411Z","title":"Toolformer: Language models can teach themselves to use tools,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.172411Z"},"links":{"cited_paper":"/paper/2302.04761","citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:9c31c30ad31551884fb674397ade4f625af2079902ff01cf0e36b986f9d8b051","observation_id":"8d0606ca-3524-42fb-b4bb-138b6eb43014","resolution":{"observed_at":"2026-08-08T00:10:09.172411Z","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":"2026-08-08T00:10:09.646171Z","title":"SWE-agent: Agent-computer interfaces enable automated software engineering,","venue":null,"work_id":"b2adb68c-68b0-415b-adf5-e22672cf1f4e","year":2024},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.176218Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:853dd9513a1811e5599c85693d1a72c188ad27c8d780ace629b423ad4bf0d373","observation_id":"ef5d86a5-65a2-467d-92ab-2979c9d6fa14","resolution":{"observed_at":"2026-08-08T00:10:09.649704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.636083Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":"2886bdd3-1aec-4198-a4bd-f03cd45c1b5a","year":2023},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.179640Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:a7f6cd695969ad2fb6e36b81ff4fa3a2b39a0c04673fb103479d34bc6f703ff1","observation_id":"602a49c5-b2a4-40b8-9377-906e0b4970ed","resolution":{"observed_at":"2026-08-08T00:10:09.639696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.625893Z","title":"Reflexion: language agents with verbal reinforcement learning,","venue":null,"work_id":"ff0f611c-f5cc-44d5-b6d1-19676b710ec3","year":2023},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.182780Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:50c337761667366e776b017e5e6437ecf97136dc3156726dd893c734bcadc60c","observation_id":"9c5067c4-e117-4d92-8537-c4191395ecbb","resolution":{"observed_at":"2026-08-08T00:10:09.629605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.12924","last_updated":"2025-01-10T03:55:57Z","snapshot_observed_at":"2026-07-06T19:52:55.369337Z","submitted_at":"2024-11-19T23:22:33Z","title":"Human-In-the-Loop Software Development Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.12924","snapshot_observed_at":"2026-08-08T00:10:09.186208Z","title":"Human- in-the-loop software development agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.186208Z"},"links":{"cited_paper":"/paper/2411.12924","citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:3263c3df30e7e4056a4c2a37c9d5083c1e19b3ba0923e3af7d4ef6080b7e2d8c","observation_id":"2c2cc8f6-f201-4fb7-af1f-4e103ad046d8","resolution":{"observed_at":"2026-08-08T00:10:09.186208Z","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":"2026-08-08T00:10:09.616316Z","title":"Claude code,","venue":null,"work_id":"508e374f-3811-4d68-a9a0-09abbe12ebe1","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.190095Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:94e1f203508ccc1ed46d5280c52a73e0f2a14ffbe87468a7f945d44a870f903a","observation_id":"3626cd83-d7a1-4596-82ed-6dcb7c7b9c48","resolution":{"observed_at":"2026-08-08T00:10:09.619615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.606375Z","title":"Available: https://openai.com/codex/","venue":null,"work_id":"8471b915-dba5-4114-b5c5-b81c09f2ef5c","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.194125Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:a8eb7f6e7c88524a687d3daaf945330ed0e0a4bc3bc2040aac0c7e38c7beb338","observation_id":"36702102-de3e-4fcb-b6a4-da86388ef250","resolution":{"observed_at":"2026-08-08T00:10:09.610086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.596578Z","title":"Workflowhub: a registry for computational workflows,","venue":null,"work_id":"221b7f51-d0dd-4659-ad35-1c8f741f35a5","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.197640Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:39c073e56b819738cc2a768e71bd5175b6c914a83d7771154241054fd21a0222","observation_id":"ffe6fccf-3e7d-4d88-9624-964839de4321","resolution":{"observed_at":"2026-08-08T00:10:09.599967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.586448Z","title":"Methods included: standardizing computational reuse and portability with the common workflow language,","venue":null,"work_id":"c58c0dd1-8a7c-4235-a63f-95ad71a1ba54","year":2022},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.200924Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:01f36b8a7da8919d423878387b40c8471f2b4631bd05903f744517dd42d17354","observation_id":"37ef8f59-f562-43df-a878-ecf505856618","resolution":{"observed_at":"2026-08-08T00:10:09.590460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.576353Z","title":"Applying the fair principles to computational workflows,","venue":null,"work_id":"7903d6c8-6fa7-4d23-91fe-506bae7b0c9b","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.204148Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:d3cc4a9d99c4a875f467982d0ce837d4a2dbac6075dcd189a74bfb11690421ea","observation_id":"ac694df2-6f6b-4697-9a41-5d597229a2f1","resolution":{"observed_at":"2026-08-08T00:10:09.580460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.565574Z","title":"A terminology for scientific workflow systems,","venue":null,"work_id":"8ab7a961-128b-48f9-a0fe-4b59995db38c","year":2026},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.207394Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:dbd52eda419442db9743679d5d0be140e8fd250810ec2fc9b7e34a772e5ecc16","observation_id":"b304aa60-3be0-45e6-8cb9-d487d8eb5cfc","resolution":{"observed_at":"2026-08-08T00:10:09.569928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.12430","last_updated":"2026-06-02T16:14:54Z","snapshot_observed_at":"2026-08-06T11:11:16.632352Z","submitted_at":"2026-02-12T21:33:25Z","title":"Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.12430","snapshot_observed_at":"2026-08-08T00:10:09.210662Z","title":"Agent skills for large language models: Architecture, acquisition, security, and the path forward,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.210662Z"},"links":{"cited_paper":"/paper/2602.12430","citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:67c6a04966f0aeccb14aa880902cb03edf1db6c9f63b05f88867f8ca6adfdb5d","observation_id":"090d0e15-a6b8-43dd-9aa9-78aa9e54453e","resolution":{"observed_at":"2026-08-08T00:10:09.210662Z","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":"2026-08-08T00:10:09.555869Z","title":"From specification to execution: Ai assisted scientific workflow management,","venue":null,"work_id":"ce25d68a-2406-489f-9356-b97654462a2b","year":null},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.214391Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:2e71c030cde76712ab38e04995d45a0e1d0de53c1d9538ada023cf3e4e3dfbbe","observation_id":"d2408f3f-147f-405b-9931-9e952e9feff1","resolution":{"observed_at":"2026-08-08T00:10:09.559431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.546008Z","title":"Pegasus, a workflow management system for science automation,","venue":null,"work_id":"9ed9c267-42c8-4b16-9c70-a3c6bedc33f9","year":2015},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.222416Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:a50296f042a2205699273dc55fa1587cfb3bf07e5fade6f33e5a21505bcf3ee2","observation_id":"46a2c618-ebbf-42be-b78d-675c15b5da31","resolution":{"observed_at":"2026-08-08T00:10:09.549398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.535359Z","title":"Can an llm find its way around a spreadsheet?","venue":null,"work_id":"8e29a187-3e08-4788-9501-3553c5ff8671","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.225796Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:891456832e7450c371f4569c1aed31e323a6bac020060215aa6d1b713d83595c","observation_id":"7e4eda32-20eb-4074-a932-461bf8ddca73","resolution":{"observed_at":"2026-08-08T00:10:09.539036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.523854Z","title":"Similarity search for scientific workflows,","venue":null,"work_id":"0a20a275-ae44-48ce-b80c-e8b5960b8220","year":2014},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.228872Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:20f0906f33e2aa699219618d2055ef04dea4079085aab572a0d937065bc28a72","observation_id":"840348e1-2077-42a7-bb04-b19495ee36fc","resolution":{"observed_at":"2026-08-08T00:10:09.527668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.510637Z","title":"Accelerating scientific discovery with co-scientist,","venue":null,"work_id":"3466d3c3-38db-458f-82fc-87d640a5f72d","year":2026},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.232212Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:b4565ac45a27822685e6e2cf0ab219c378aa86c887d48cea90d65cc988697566","observation_id":"154ddf6c-3f39-4252-8a37-bc9973195c49","resolution":{"observed_at":"2026-08-08T00:10:09.515292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.498475Z","title":"Claude science: An AI workbench for scientists,","venue":null,"work_id":"fa6f0d4d-db5a-495e-af65-f04e709f9e43","year":2026},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.235456Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:a609c3ba790fcd696c50c9f575e8227b4c8ff6a29dab041521542661d390dfb3","observation_id":"9dc3dc75-4d4d-4028-b211-a056ac668032","resolution":{"observed_at":"2026-08-08T00:10:09.502526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.487301Z","title":"Langchain-parsl: Connect large language model agents to high per- formance computing resource,","venue":null,"work_id":"52e6379d-3999-41b7-8cc4-88e1c4428fcc","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.238780Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:582382ac4756df327bbd8177b60e47c653eaa1a9cc04c05bcf37a4b8b09e38f5","observation_id":"b1cde446-a396-4cd4-b659-d4104bcd1d13","resolution":{"observed_at":"2026-08-08T00:10:09.491415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.476157Z","title":"Parsl: Pervasive parallel programming in python,","venue":null,"work_id":"2a3a20cb-d786-44fe-bd77-d1d30af65544","year":2019},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.242128Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:7b84e78a49bf43fa601b6b2d2d0d4489e1f3d04cee25b04679096d2e81a790be","observation_id":"1cc92249-3fd5-4b0a-93bb-09e74c94c353","resolution":{"observed_at":"2026-08-08T00:10:09.479875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.465376Z","title":"Do large language models speak scientific workflows?","venue":null,"work_id":"70460be8-d467-4ffb-a130-5beed25fe96f","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.246036Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:6fbb8929bb970977d4dd7e7685b1f6725b5cbfce4f7c69c2d4470a542e3cedf1","observation_id":"a4170958-85ae-4176-9eaf-756c87116c68","resolution":{"observed_at":"2026-08-08T00:10:09.469551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.454456Z","title":"The (r)evolution of scientific workflows in the agentic ai era: Towards autonomous science,","venue":null,"work_id":"b36db3dc-1346-43ac-a458-69f9e93eca80","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.249209Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:3ae0f9b7ec60479313f7c48c4fcd6534c24b1878a6f7fc805079918b0ffee7ed","observation_id":"23b0ef97-851a-4ffb-ad75-ac4be714f4f3","resolution":{"observed_at":"2026-08-08T00:10:09.458076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.444050Z","title":"A-mem: Agentic memory for llm agents,","venue":null,"work_id":"8f2ed588-9fec-4287-8f22-518b08bcfd51","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.252573Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:5e2ef0b7d9c44384d03d3a6ce91e6e3f0aec2d8ef0ed434c6fd0545ccb296a42","observation_id":"94907140-f3c9-448c-bd49-c9c6c2d2d178","resolution":{"observed_at":"2026-08-08T00:10:09.447813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.432708Z","title":"Model context protocol specifi- cation,","venue":null,"work_id":"9b2f7a9e-cb47-4f9f-bc6a-873efad586e0","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.256130Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:bb6489ab0f3a38deb758dcbdcabd4d809dc2495c4d82bb2b5eb9cfa149c5a1c1","observation_id":"1ffdba12-819e-469e-9438-e31e341c7e21","resolution":{"observed_at":"2026-08-08T00:10:09.436546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.420450Z","title":"Empowering scientific workflows with federated agents,","venue":null,"work_id":"b48081f1-a4b0-4442-832b-1c136b63c868","year":2026},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.259798Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:0ebfeada9b83cc927024b1098c89a49955200455fdc2423ccc8462717807bd45","observation_id":"adfeb428-5978-4656-a176-53f9b1ca4d99","resolution":{"observed_at":"2026-08-08T00:10:09.424559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.407883Z","title":"Characterizing serverless platforms with ServerlessBench,","venue":null,"work_id":"4b0a1e7a-af8c-4351-8bb2-0feb3bd81469","year":2020},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.263337Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:c35904fe87415340bb63b1c498530aa745e637103abca4ae5b5d862fe9b8d6e4","observation_id":"e5ffa0e2-d21e-4155-b151-0ab1174dc3ab","resolution":{"observed_at":"2026-08-08T00:10:09.411739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.395307Z","title":"CURATE-prototype,","venue":null,"work_id":"4927516a-99f1-4fc9-825b-a6fed4ce2875","year":2026},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.266771Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:b87d4a2f158eb7e2b37bf756ad2e2288382427692dfe4e9a7ef6b372d2f0c409","observation_id":"5831469a-7a49-401d-93fe-e93199f41d47","resolution":{"observed_at":"2026-08-08T00:10:09.399259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.384097Z","title":"Faasr: Cross-platform function-as-a-service serverless scientific workflows in r,","venue":null,"work_id":"e420be88-7785-488c-b925-b91e891195f7","year":2024},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.270177Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:22eca370a3cb06bb5abf2ff5f86f0125c12c60d52da47bbc29926cccd1c277c7","observation_id":"50e3d49d-e46b-4176-ae62-712a6c6d3301","resolution":{"observed_at":"2026-08-08T00:10:09.387791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.373504Z","title":"The probabilistic relevance framework: Bm25 and beyond,","venue":null,"work_id":"ffdaec03-6a19-4595-97a9-bc19b62e5943","year":2009},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.274041Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:e3d1f59570c7779976f94838da46ebf660ff30ef4f5fdf4e063a7a5340dcf861","observation_id":"16eefde5-647e-4abc-8b62-98d282c5a9fc","resolution":{"observed_at":"2026-08-08T00:10:09.377202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-08T00:10:09.362129Z","title":"Sebs-flow: Benchmarking serverless cloud function work- flows,","venue":null,"work_id":"aa1dc2df-c303-4b8f-af91-e06425d191ed","year":2025},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.277791Z"},"links":{"citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:0609ea1e5b10376745b7fe3cbede64609c630413ccb697f167bc1553bc991310","observation_id":"c64b9a2a-82c9-4e09-9352-12c3e1b03621","resolution":{"observed_at":"2026-08-08T00:10:09.365999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.18425","last_updated":"2026-06-16T19:21:09Z","snapshot_observed_at":"2026-08-06T02:55:28.447403Z","submitted_at":"2026-06-16T19:21:09Z","title":"From Specification to Execution: AI Assisted Scientific Workflow Management","version":1},"cited_work":{"arxiv_id":"2606.18425","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.18425","snapshot_observed_at":"2026-08-08T00:10:09.310299Z","title":"From Specification to Execution: AI Assisted Scientific Workflow Management","venue":"cs.SE","work_id":"e9397c69-9aef-4150-9ec9-543ef09bb973","year":2026},"citing_paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-08T00:10:09.218103Z"},"links":{"cited_paper":"/paper/2606.18425","citing_paper":"/paper/2608.04270"},"observation_digest":"sha256:94baccadedfebd449864d96fcb59afc0e3344dca8be7b14ac3107299314b0679","observation_id":"3e59f36b-aa86-4158-b822-ffc3c8b5f637","resolution":{"observed_at":"2026-08-08T00:10:09.316714Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.04270","last_updated":"2026-08-04T23:01:29Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-08T23:11:21.276330Z","submitted_at":"2026-08-04T23:01:29Z","title":"CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible Workflows"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":37},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.04270."}