{"as_of":"2026-08-13T04:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85d95baeff17f85d2318711133b2650d6af8c34db58014e71ac466e832a17398","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T00:23:32.419860Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2608.08189/citation-record","integrity":"/paper/2608.08189/integrity","json":"/paper/2608.08189/citation-record.json","paper":"/paper/2608.08189"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:23:33.067154Z","title":"Large language models as optimizers,","venue":null,"work_id":"7241a2e3-fb0e-431e-b138-1a8e2d8fbb81","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.123774Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:447c5f0c3315d45f3f9b2346d6fa815111cc19f3fddae460cf626f4f1b9e9dce","observation_id":"193d6cae-315e-46cc-97f2-7baef7ae9de8","resolution":{"observed_at":"2026-08-12T00:23:33.070488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:33.058651Z","title":"ReEvo: Large language models as hyper-heuristics with reflective evolution,","venue":null,"work_id":"b8d9fd61-8103-4fc3-8a64-149197ac6634","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.127922Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:c9ff2c17fb68d36338c4094107932a3f4744fa3020a515606294f661f587e0c9","observation_id":"908d2e65-2a3c-4cda-8819-d678bdee895f","resolution":{"observed_at":"2026-08-12T00:23:33.061792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:33.050196Z","title":"Symbolic regression with a learned concept library,","venue":null,"work_id":"bcb5d43d-df52-4755-b7f8-941817fca0e7","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.131116Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:ddae95d68e06612b93070790d0653b998d5964dd0f952ce59ea494ec312167f1","observation_id":"cf4cde9e-93a7-47fb-837a-4b38f53717d6","resolution":{"observed_at":"2026-08-12T00:23:33.053293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:33.041295Z","title":"Synthesizing programmatic reinforcement learning policies with large language model guided search,","venue":null,"work_id":"f090edf5-f816-4ad0-823e-35ae4d83ac7a","year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.134574Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:8f10806e6230f5cc5614e2967077157535b3caafa160b749d75ba5b03e6b4808","observation_id":"defae63d-7137-44ea-83a9-9aa71aaa6956","resolution":{"observed_at":"2026-08-12T00:23:33.044839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:33.032922Z","title":"Mathematical discoveries from program search with large language models,","venue":null,"work_id":"2817f236-3462-4a7d-ac05-2ed3a819a2df","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.138396Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:c3bdad298b94808c6fef60aba3fa714ad5f17eb6754a11c70ac7cf064d29e152","observation_id":"b3a3fae3-be09-4b9a-b688-41999696e7f8","resolution":{"observed_at":"2026-08-12T00:23:33.036094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.13131","last_updated":"2025-06-16T06:37:18Z","snapshot_observed_at":"2026-08-11T23:48:15.512738Z","submitted_at":"2025-06-16T06:37:18Z","title":"AlphaEvolve: A coding agent for scientific and algorithmic discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.13131","snapshot_observed_at":"2026-08-12T00:23:32.141701Z","title":"AlphaEvolve: A coding agent for scientific and algorithmic discovery,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.141701Z"},"links":{"cited_paper":"/paper/2506.13131","citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:c32033a1b7d8fbde07f03a4841b30fde4df61ec75fc229b74617d960bc512c1f","observation_id":"930f9dc2-26ca-4815-acb8-e1f4307f469a","resolution":{"observed_at":"2026-08-12T00:23:32.141701Z","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":"2026-08-12T00:23:33.024357Z","title":"Language modeling by language models,","venue":null,"work_id":"8588ec9f-c415-4ec9-8f12-e0547878561e","year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.145088Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:e5d560bfb3d0ea7aebd5423c2fa76b8dd7c7c7d9232111343c28f373f368d30d","observation_id":"5535ae71-1d35-49e0-8ac6-4fbba57a0da2","resolution":{"observed_at":"2026-08-12T00:23:33.027666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:33.015484Z","title":"BoTorch: A framework for efficient monte-carlo bayesian optimization,","venue":null,"work_id":"3dc50b59-c40d-44e9-8e6a-85463b132f40","year":2020},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.147968Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:f64e5a475e8c18f210201609f9160d52e066a72c004e5c8bb1e9e7c4790eb83c","observation_id":"f1b4990a-3000-4d56-91d9-82bcd98d7e91","resolution":{"observed_at":"2026-08-12T00:23:33.018713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:33.006739Z","title":"Scalable global optimization via local Bayesian optimization,","venue":null,"work_id":"b22bd3af-3967-43a7-b961-4fe902706005","year":2019},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.150985Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:f1e9502f64ce51e0a0736c4983c20ccbb1c4d8ef1d3a8f6f5e9893929d748c94","observation_id":"1d6aa0a1-f80a-4721-9a04-d0ed30e63ec7","resolution":{"observed_at":"2026-08-12T00:23:33.010010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.997665Z","title":"Conditioning by adaptive sampling for robust design,","venue":null,"work_id":"374ee812-01ba-4094-b8fd-8dc76732a8ea","year":2019},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.153726Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:606092138a00f9c60e5daf182e7ceaf298cba7b6d96a5a8c8e9c73c34ece6e79","observation_id":"0e052a0c-35a4-45df-8ed1-2d2153526038","resolution":{"observed_at":"2026-08-12T00:23:33.001242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.988326Z","title":"Conservative objective models for effective offline model-based optimization,","venue":null,"work_id":"ebc27bb8-be1e-443e-8bed-bdbb7a5d7ad9","year":null},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.156659Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:5b4802cfde5b0bcbf11c69b31407cfe484311ea6107f5ed92dca07cc5aa966ef","observation_id":"f5fb9f5f-b9c9-4912-85af-f4ad0deb97b7","resolution":{"observed_at":"2026-08-12T00:23:32.991819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.970887Z","title":"Generative adversarial model-based optimization via source critic regularization,","venue":null,"work_id":"add45d4c-d51a-438b-ad6e-fb514dcc03c8","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.222813Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:b8a649046c5ecbf6859bc9cc92a1cde9612f6ccb8defd2d304007619af46c2f6","observation_id":"76686c23-dc56-479f-9e89-fc12e865c47f","resolution":{"observed_at":"2026-08-12T00:23:32.974357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.961649Z","title":"Fast charging of Li-ion batteries via learning and optimization,","venue":null,"work_id":"a6741968-493f-4219-89b0-c8001b4a20fa","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.237172Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:f1599fdb0fd63c09f77826dad9e3bbac2e1331ed56f5d4440c0dbeb24b1038aa","observation_id":"8b6ef4f8-2f66-4310-bb2d-c5222954034e","resolution":{"observed_at":"2026-08-12T00:23:32.964655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.953100Z","title":"DESiRED: Dynamic, enhanced, and smart iRED: A P4-AQM with deep reinforcement learning and in-band network telemetry,","venue":null,"work_id":"29796062-15c1-475c-9dd0-89844e0e4f71","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.240631Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:672271d37470f0ccd9d2fd7f737ad30e45669c1eff70f5752663cf1b91c291b5","observation_id":"ab791da5-47a3-4a46-a49d-6be020b7a7d3","resolution":{"observed_at":"2026-08-12T00:23:32.956353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.944138Z","title":"Inverse-designed low-crosstalk CWDM (de)multiplexer assisted by photonic crystals,","venue":null,"work_id":"4ad582ee-3e4d-41ab-8643-68855d5b6ac1","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.243960Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:3cea60bf53035ea0bd24c8fc2f33c9ce224e25163d737b47db237468e48ef648","observation_id":"fb7eb939-55d5-4bc2-b5c2-4d5fd24d830f","resolution":{"observed_at":"2026-08-12T00:23:32.947379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.935117Z","title":"A hierarchical multi-parametric programming approach for dynamic risk-based model predictive quality control,","venue":null,"work_id":"7b93a536-e652-4ded-8849-247dba536c73","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.246874Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:5b9787aed16cbde85f1cb1f7436a1462e4ffbbc52a6abbb3e64712efc37113a3","observation_id":"3920066a-05b8-4dff-a7dc-5315a0e1ecbe","resolution":{"observed_at":"2026-08-12T00:23:32.938506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.925740Z","title":"Inventory management and delivery of perishable products with stochastic demands and risks consideration,","venue":null,"work_id":"e0a6becc-113d-4584-aca9-7da8df0fc5cb","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.250080Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:8c7a904a755cc6264dbe196fde53d2482452faac9516a471f5d308b0df392052","observation_id":"45d8d183-f1c4-4829-ba25-1a16cb08ede1","resolution":{"observed_at":"2026-08-12T00:23:32.929234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.916713Z","title":"Data-driven prediction of battery cycle life before capacity degradation,","venue":null,"work_id":"9e6349f9-1a3e-4e9d-8c36-62c9e6afe436","year":2019},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.252857Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:83e6f737df318104c3a311c0a362f42e6710694691bd5794ed7fdde68320c537","observation_id":"b5ae824b-e3c1-4409-919a-435f0b844000","resolution":{"observed_at":"2026-08-12T00:23:32.919954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.907409Z","title":"Closed-loop optimization of fast-charging protocols for batteries with machine learning,","venue":null,"work_id":"e72dc9c5-e586-4ce6-ad23-af45a77a0bda","year":2020},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.256349Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:af4ef2555ea78d339a17cf83a67128521ada8b606308cf381178048118478a59","observation_id":"5b8ecd23-cdd2-4868-b983-73fa28327b82","resolution":{"observed_at":"2026-08-12T00:23:32.910657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.897450Z","title":"Scalable tail latency estimation for data center networks,","venue":null,"work_id":"a798db92-7d26-4ed2-9fc2-300d22b00ada","year":2023},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.260120Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:74fdde91e4f93a1ce4dcb70df9f28d1b683c494acfb5ff2aed6e15e1983a14d9","observation_id":"af8d9704-2efa-4832-a781-9dec57692233","resolution":{"observed_at":"2026-08-12T00:23:32.901293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.888174Z","title":"Automated optimization of photonic crystal slab cavities,","venue":null,"work_id":"c171e625-399d-466c-bad5-77af9521c5fe","year":2014},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.263032Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:2b752f2bec41c679219a005e3a8942443481d590dcab8768b015593f6b67f297","observation_id":"1f0c69e0-6c66-4a92-a34d-9d0481e682df","resolution":{"observed_at":"2026-08-12T00:23:32.891330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.879425Z","title":"Gaussian elimination is not optimal,","venue":null,"work_id":"733630ef-4e2c-40b9-b8fd-5e451abb74cc","year":1969},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.266191Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:3608d7243585ed67cf2bcb1a97c15c875f1272c9dad2c5b2bfd4edf1caf8265f","observation_id":"b3947f15-3e5b-43ee-b188-634a2dd78560","resolution":{"observed_at":"2026-08-12T00:23:32.882559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.870051Z","title":"Network simulations with the ns-3 simulator,","venue":null,"work_id":"b530f2f0-5ae4-4568-8138-4dbfb87344b5","year":2008},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.269834Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:64de26619fb6480d43f2eec8a38b52c3cffe108f984be6500cb71058f5ad404d","observation_id":"cb1e3b51-2a2c-428b-ae24-4c192dbafdf5","resolution":{"observed_at":"2026-08-12T00:23:32.873277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.272911Z","title":"Practical bayesian optimization of machine learning algorithms,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.272911Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:0a1c98353ff673b01a2e65bbbcbfc6716ddb7a1bed14f2849ca58a7fd10f91c0","observation_id":"d3e49245-b4bb-43be-81f0-68134df82dab","resolution":{"observed_at":"2026-08-12T00:23:32.272911Z","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":"2026-08-12T00:23:32.861026Z","title":"Local fitness landscape of the green fluorescent protein,","venue":null,"work_id":"8f266ab5-471a-45d7-ad93-c926b4fab0a5","year":2016},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.275622Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:a82cdec80b5410cd53b692338b7e6cd093ef3ee58cbaac12489ba0493a034088","observation_id":"438f28a1-802a-4bf5-9fe8-7a1b126be93d","resolution":{"observed_at":"2026-08-12T00:23:32.864285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.851826Z","title":"Evolutionary model type selection for global surrogate modeling,","venue":null,"work_id":"826a04d2-6034-4b91-a608-a2202c94bb59","year":2009},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.278498Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:9d4802b3804f1674faf4578ff7a98a82f7d0d1a1ffec0a06cc121050c65748d4","observation_id":"fe38ae61-ee58-48a9-85e6-9d64d22f0591","resolution":{"observed_at":"2026-08-12T00:23:32.855162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.281649Z","title":"Large language models as surrogate models in evolutionary algorithms: A preliminary study,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.281649Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:505dab9a3fdfeb86ee5b89f1c169219e5149cd12dcc638093e44bac75d678ff2","observation_id":"9dc0b258-e35b-4ac8-bbad-b16e3bda33e7","resolution":{"observed_at":"2026-08-12T00:23:32.281649Z","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":"2026-08-12T00:23:32.838139Z","title":"Random early detection gateways for congestion avoidance,","venue":null,"work_id":"168be392-d5b1-4f1c-88e5-f6705cdce33f","year":1993},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.284873Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:bb7915a282291767a8dc26674dc4456186b92c5cdedc517b9c63b4b1dfc833ef","observation_id":"71c0c644-818e-4a54-a868-dd517db05fdd","resolution":{"observed_at":"2026-08-12T00:23:32.841258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.829240Z","title":"Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products,","venue":null,"work_id":"2fcf63f4-f833-4070-9573-992a427ffcc4","year":2019},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.288487Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:aeebc13f0db8a44e701c4ef1ad59a7a9e5b082e08cd5320e310e14854edd120c","observation_id":"a54e2a4d-4807-4c6f-a847-a1090c785e0b","resolution":{"observed_at":"2026-08-12T00:23:32.832625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.820554Z","title":"Evolution of heuristics: Towards efficient automatic algorithm design using large language model,","venue":null,"work_id":"92431c38-59c0-4da7-b1f5-7d582202e8ab","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.291277Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:b4521714add80799a6f1adb3fc709292d04c0c8e38facab7d9ebe30cae095afc","observation_id":"2796dbf5-979c-44a6-bae9-fe387399c7bc","resolution":{"observed_at":"2026-08-12T00:23:32.823800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.811661Z","title":"Monte carlo tree search for comprehensive exploration in LLM-based automatic heuristic design,","venue":null,"work_id":"7d7924b3-c036-4a4d-8b80-ed0f365dba54","year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.295318Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:1a40c8c6cf7a668acd75d79cfe75d64f36d3cf4ca74c91d9ae02acc7d59c9d29","observation_id":"1c1e5662-629a-4cd9-ba60-13bd5d9822b7","resolution":{"observed_at":"2026-08-12T00:23:32.814880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.802702Z","title":"Multi-fidelity Bayesian optimisation with continuous approximations,","venue":null,"work_id":"a5ce470b-33c0-462b-baa5-df4a284a1f20","year":2017},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.305047Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:645d3de612060086b551afbb591c6b37f38d5f13f50dc70297a33d40cfe8d67f","observation_id":"9fb6f531-1dd8-4875-abb5-1fac428efb0b","resolution":{"observed_at":"2026-08-12T00:23:32.805824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.794243Z","title":"Surrogate model assisted cooperative coevolution for large scale opti- mization,","venue":null,"work_id":"4e86b630-a9d8-4a98-bde3-4e745f89b199","year":2019},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.332348Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:42f9e75fcdc32aa17d1033efa404fef15c7e4ed114561811c587742c04ed07b3","observation_id":"4252e36f-e859-4733-bd81-e405c921f014","resolution":{"observed_at":"2026-08-12T00:23:32.797369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.785683Z","title":"EZNAS: Evolving zero-cost proxies for neural architecture scoring,","venue":null,"work_id":"5c16b55a-7199-4c4d-99f4-52ed20f703e5","year":2022},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.372663Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:faed6759d1810668a014b834428d8f7dbc2546d4d9d30029d96c670b141d4692","observation_id":"23254025-656c-4ffd-ad08-f8d12e479da5","resolution":{"observed_at":"2026-08-12T00:23:32.788612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.776480Z","title":"Revolutionizing training-free NAS: Towards efficient automatic proxy discovery via large language models,","venue":null,"work_id":"25ce4811-3376-4e2e-815a-5f0f047bc804","year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.388436Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:187be02cd7083e4319fddf8036d01dd4856a5054e0eca441dbd1477f9c16d3c7","observation_id":"fad1cdae-32e6-4bcc-aff7-c605c94d09ac","resolution":{"observed_at":"2026-08-12T00:23:32.779942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.767307Z","title":"Co- evolution of large language models and configuration strategies to enhance surrogate-assisted evolutionary algorithm,","venue":null,"work_id":"7a206622-0aae-4aa9-899f-c63f1c0d2514","year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.392032Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:5a05d2edb30c3631b76e3d01a78eebe1ca263f6322dbcee8d7d1a3e28b416785","observation_id":"ca71d1cd-94cd-43a5-aa2b-45d7470f8694","resolution":{"observed_at":"2026-08-12T00:23:32.770468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.02892","last_updated":"2025-06-20T13:44:21Z","snapshot_observed_at":"2026-08-06T23:28:57.694748Z","submitted_at":"2025-06-20T13:44:21Z","title":"Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.02892","snapshot_observed_at":"2026-08-12T00:23:32.395305Z","title":"Large language model-driven surrogate-assisted evolutionary algorithm for expensive optimization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.395305Z"},"links":{"cited_paper":"/paper/2507.02892","citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:262ea7734c86e134070bd0d3237b579100140dda827de3347b57042d25a32866","observation_id":"3f76f0c8-75f6-431c-aa14-f618e9ecc723","resolution":{"observed_at":"2026-08-12T00:23:32.395305Z","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":"2026-08-12T00:23:32.758404Z","title":"Eureka: Human-level reward design via coding large language models,","venue":null,"work_id":"105bfe95-3bf3-429a-83e9-7beb0fec2ee0","year":2024},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.399119Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:bbf62b5201f2629e3f2351c51ecb75dbee4a3c35d1e8707540adee646e3c6652","observation_id":"bf1df43f-a785-47bf-be2a-448689e2ac6a","resolution":{"observed_at":"2026-08-12T00:23:32.761748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.749257Z","title":"LaRes: Evolutionary reinforcement learning with LLM-based adaptive reward search,","venue":null,"work_id":"ab7050f4-f3d9-4961-8a10-315e0fb652dd","year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.402389Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:a18bccd82d659ed9135852f501cd20206f8a84c698548199e024248e249c07f3","observation_id":"12641f5a-27da-4d87-9f62-88534cbb9320","resolution":{"observed_at":"2026-08-12T00:23:32.752598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.10389","last_updated":"2026-06-09T03:55:31Z","snapshot_observed_at":"2026-07-06T23:49:37.345711Z","submitted_at":"2026-06-09T03:55:31Z","title":"Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games","version":1},"cited_work":{"arxiv_id":"2606.10389","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.10389","snapshot_observed_at":"2026-08-12T00:23:32.585046Z","title":"Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games","venue":"cs.AI","work_id":"b5e27e9a-4dc5-44bf-a298-02b61809652d","year":2026},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.405543Z"},"links":{"cited_paper":"/paper/2606.10389","citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:6c10b15fa304c82d3481075a2fbf6fb2138cf47ef416708642416d0b3b1da874","observation_id":"2288696a-1393-45d7-bc0f-3312f245dafa","resolution":{"observed_at":"2026-08-12T00:23:32.589724Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.22896","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:23:32.571737Z","title":"Game-theoretic co-evolution for LLM-based heuristic discovery,","venue":null,"work_id":"62115d63-9442-41e2-aca4-2feb83840c04","year":2026},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.409254Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:d61a8c4aaa8ad1e3b6afef37e5573e93adf9b6173169abcc9c16203015be2877","observation_id":"9134d650-8cef-4315-b392-02dac48526c2","resolution":{"observed_at":"2026-08-12T00:23:32.576633Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.04507","last_updated":"2026-06-03T06:38:19Z","snapshot_observed_at":"2026-08-12T10:11:16.964792Z","submitted_at":"2026-06-03T06:38:19Z","title":"Self-Evolving Deep Research via Joint Generation and Evaluation","version":1},"cited_work":{"arxiv_id":"2606.04507","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.04507","snapshot_observed_at":"2026-08-12T00:23:32.444782Z","title":"Self-Evolving Deep Research via Joint Generation and Evaluation","venue":"cs.CL","work_id":"b0025deb-3acf-4178-a5d9-b5eff1975285","year":2026},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.412241Z"},"links":{"cited_paper":"/paper/2606.04507","citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:ace4ea79a7827009831a7e3590bd23af4b9807855d8cad8d49aa9cc919aa6460","observation_id":"2e12faa9-2bbe-4da1-8ba6-339bcaf7adda","resolution":{"observed_at":"2026-08-12T00:23:32.451608Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.739687Z","title":"Python Battery Mathematical Modelling (PyBaMM),","venue":null,"work_id":"e007ed96-78e4-4959-bbda-52afd42cd45b","year":2021},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.416518Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:b568b8bedae984e998d1905fb8bf03d2b6ba5f1695a4524c82e7313b531dee41","observation_id":"736300ee-036c-4c8b-a4b8-badc609630c7","resolution":{"observed_at":"2026-08-12T00:23:32.743464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.730237Z","title":"Machine learning approaches for active queue management: A survey, taxonomy, and future directions,","venue":null,"work_id":"f5069195-0238-4891-9791-8455354e7ad4","year":2025},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.419860Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:31be90dbc319c1e39c669f9260657f2fd5d845f89bb4fd7ac31fc5abfc8e9f52","observation_id":"3db33822-3219-4914-8ab4-572e5b361344","resolution":{"observed_at":"2026-08-12T00:23:32.733603Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T00:23:32.979825Z","title":"10 358–10 368","venue":null,"work_id":"40a6af20-f3f4-41cf-825b-bed4ff233fcb","year":2021},"citing_paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets","version":1},"reference_index":139,"source":"pdf_text","source_observed_at":"2026-08-12T00:23:32.182185Z"},"links":{"citing_paper":"/paper/2608.08189"},"observation_digest":"sha256:c7ce36d58730142cf15084d4f81be8cc49bc0c57b1298c8044cebbdad6da77c3","observation_id":"2aa01573-4865-4e9a-a0e3-986639770701","resolution":{"observed_at":"2026-08-12T00:23:32.982864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.08189","last_updated":"2026-08-08T15:31:12Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-13T03:11:41.743781Z","submitted_at":"2026-08-08T15:31:12Z","title":"Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":37},"total_outbound_references":45},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.08189."}