{"as_of":"2026-08-14T08:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb97af2eb71c387c0ce1fcc1acd073427bacf3256a53d982fafd84bf68ff1846","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:33:34.044047Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2608.09155/citation-record","integrity":"/paper/2608.09155/integrity","json":"/paper/2608.09155/citation-record.json","paper":"/paper/2608.09155"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.22318","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:33:34.738570Z","title":"Federate the router: Learning language model routers with sparse and decentralized evaluations.arXiv preprint arXiv:2601.22318, 2026","venue":null,"work_id":"1d59050c-cb57-4461-8bb6-7a13631c224e","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.459759Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:45d1c967cdb51477d1bee710136b78f510d2b252034296d6a20e404abc17cf6e","observation_id":"ac197617-1763-4d9b-8176-6f760ef10be1","resolution":{"observed_at":"2026-08-11T22:33:34.742899Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.335174Z","title":"Frugalgpt: How to use large language models while reducing cost and improving performance.Transactions on Machine Learning Research, 2024","venue":null,"work_id":"b9fc7890-b473-49b9-86b5-09694e3061ec","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.532955Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:11cf4f34cd997458c918ecd5dde44348857afaf79f2eae4d1cda8cc5be6dad28","observation_id":"1add7325-7945-4c6a-8292-c5b186054659","resolution":{"observed_at":"2026-08-11T22:33:35.338061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.326224Z","title":"Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors","venue":null,"work_id":"03e14e51-2cfe-4a8e-bbd9-0d5126d77357","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.536401Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:9be7c8a03b776dad94f4b1881a4f69dc517ce00ebf6e38b3d10e2229db23d525","observation_id":"81a348da-ac5b-4c51-b921-aa1b0e96c758","resolution":{"observed_at":"2026-08-11T22:33:35.329681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08115","last_updated":"2025-02-18T12:50:00Z","snapshot_observed_at":"2026-08-12T22:26:07.612060Z","submitted_at":"2024-10-10T17:00:06Z","title":"Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.08115","snapshot_observed_at":"2026-08-11T22:33:33.539717Z","title":"Optima: Optimizing effectiveness and efficiency for LLM-based multi-agent system.arXiv preprint arXiv:2410.08115, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.539717Z"},"links":{"cited_paper":"/paper/2410.08115","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:b7a14488db523cd389a9d46c390a86f0786d92df05e67c4c01c07ff3a07a84dc","observation_id":"f86e588a-362f-4b73-844a-40767ac7d0ba","resolution":{"observed_at":"2026-08-11T22:33:33.539717Z","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":"2026-08-11T22:33:35.316736Z","title":"A unified approach to routing and cascading for llms","venue":null,"work_id":"121fc929-2371-47fb-887c-b01af456575a","year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.542987Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:03b58cfa94d8c5218a7063a228f9ce94187f585970eae5f00988bcc8525096ea","observation_id":"3f57c78b-816b-439c-81d8-f820adc69d61","resolution":{"observed_at":"2026-08-11T22:33:35.319679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2603.17112","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:33:34.670041Z","title":"Cascade-aware multi-agent routing: Spatio-temporal sidecars and geometry-switching","venue":null,"work_id":"c3a8c3c3-152c-4151-b1d5-b0854394946d","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.546465Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:6d13896ff978060f04acffb360021e6632bf62137a869ffa01a763deff416fcb","observation_id":"8de4d255-638f-4790-ad31-bcd5898cea43","resolution":{"observed_at":"2026-08-11T22:33:34.674646Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:33.550353Z","title":"Pay for hints, not answers: LLM shepherding for cost-efficient inference.arXiv preprint arXiv:2601.22132, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.550353Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:e49fce2fb3eb198d48a7a06a51ac563d41d33d0d7be9217e6091c6da0326c674","observation_id":"6ae37354-598f-41e1-9a36-6db7ef39acdd","resolution":{"observed_at":"2026-08-11T22:33:33.550353Z","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":"2026-08-11T22:33:35.307086Z","title":"Glam: Efficient scaling of language models with mixture-of-experts","venue":null,"work_id":"4f21d166-3624-4eea-a538-6711d07888c2","year":2022},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.552827Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:59da68a3eb508717e1c57339ab579f557d5d1f30ed0af79b819f6715f89e7e1e","observation_id":"286a725c-a7b7-48f0-8a00-a6b0aacb835d","resolution":{"observed_at":"2026-08-11T22:33:35.310626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.297669Z","title":"Improving factuality and reasoning in language models through multiagent debate","venue":null,"work_id":"01e191fe-fcf8-405c-afc5-aaa49b879626","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.555873Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:46e7b07a5a3ae84eaa4d50c6b277411daf6efd3db600f32e52939becda87f038","observation_id":"efcfe9d0-ae78-4aed-bfae-da9fcc280b1e","resolution":{"observed_at":"2026-08-11T22:33:35.301157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:33.558341Z","title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.558341Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:ab92865a92c379c7e1b1abd8b71869051f87f46ae92dfa96357d3f90c62a317b","observation_id":"daf2c92d-2d9d-4617-b4c1-edd2cb7b95d9","resolution":{"observed_at":"2026-08-11T22:33:33.558341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.23626","last_updated":"2026-04-26T09:38:32Z","snapshot_observed_at":"2026-08-14T00:58:36.531615Z","submitted_at":"2026-04-26T09:38:32Z","title":"GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs","version":1},"cited_work":{"arxiv_id":"2604.23626","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.23626","snapshot_observed_at":"2026-08-11T22:33:34.524700Z","title":"GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs","venue":"cs.CL","work_id":"0b196e83-ab10-431e-a509-ed64d9166ddb","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.561595Z"},"links":{"cited_paper":"/paper/2604.23626","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:6ae16b44490f15be2a991e72cb5986a23f0e69690eb4e4e19a4d85eaf4c97780","observation_id":"ba382b86-5414-4ed4-b9c3-87335b5530a9","resolution":{"observed_at":"2026-08-11T22:33:34.546520Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14034","last_updated":"2024-05-20T04:01:08Z","snapshot_observed_at":"2026-08-13T04:14:01.873919Z","submitted_at":"2024-02-21T04:11:28Z","title":"AgentScope: A Flexible yet Robust Multi-Agent Platform","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14034","snapshot_observed_at":"2026-08-11T22:33:33.564549Z","title":"AgentScope: A flexible yet robust multi-agent platform.arXiv preprint arXiv:2402.14034, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.564549Z"},"links":{"cited_paper":"/paper/2402.14034","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:f7676bd409fffff65d5a6b80f8d08cce34627a757e6481905633ce268ccda281","observation_id":"ea0cf12a-bbbc-4cfc-a23d-699d0a24f2ae","resolution":{"observed_at":"2026-08-11T22:33:33.564549Z","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":"2026-08-11T22:33:35.130440Z","title":"Metagpt: Meta programming for a multi-agent collaborative framework","venue":null,"work_id":"48b1c0ee-a3a9-41e9-b0ce-c16880e060df","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.567821Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:78656869af8413e3c0fb3a2e6765bad40478ff91b8b907a7359a9f11e8e76d61","observation_id":"feff5887-b145-47ec-a76a-2926a5f0b640","resolution":{"observed_at":"2026-08-11T22:33:35.175758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12031","last_updated":"2024-03-28T17:56:28Z","snapshot_observed_at":"2026-08-09T22:21:33.340392Z","submitted_at":"2024-03-18T17:59:04Z","title":"RouterBench: A Benchmark for Multi-LLM Routing System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12031","snapshot_observed_at":"2026-08-11T22:33:33.570866Z","title":"Routerbench: A benchmark for multi-llm routing systems.arXiv preprint arXiv:2403.12031, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.570866Z"},"links":{"cited_paper":"/paper/2403.12031","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:79bd01bbb04964692c92f988de739d1f4b0b4f5ad29c1a4372f159ad2109d203","observation_id":"5cb4cb0d-1909-4869-a4ad-a40560160234","resolution":{"observed_at":"2026-08-11T22:33:33.570866Z","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":"2026-08-11T22:33:35.084391Z","title":"Llm-blender: Ensembling large language models with pairwise ranking and generative fusion","venue":null,"work_id":"e343494b-ea2a-4135-b7ed-be663d36bd6f","year":2023},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.573700Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:70a8e8bcd495c086e7022ddce74860a1f7e70341f458c497fc73aa68510ccf21","observation_id":"970e2d6c-fd26-43cd-bb5f-447937e157d3","resolution":{"observed_at":"2026-08-11T22:33:35.087358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07113","last_updated":"2025-03-20T19:52:30Z","snapshot_observed_at":"2026-08-10T00:21:22.129414Z","submitted_at":"2025-03-20T19:52:30Z","title":"How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07113","snapshot_observed_at":"2026-08-11T22:33:33.576740Z","title":"Kassem, Bernhard Schölkopf, and Zhijing Jin","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.576740Z"},"links":{"cited_paper":"/paper/2504.07113","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:98ae08b4cc2ced62a9636f88b7c6f20752562af6c32a7c8fac1177512f9c7bce","observation_id":"2eeddfa1-c891-4985-b27c-21256be24f80","resolution":{"observed_at":"2026-08-11T22:33:33.576740Z","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":"2026-08-11T22:33:35.075624Z","title":"Camel: Communicative agents for “mind” exploration of large scale language model society.Advances in Neural Information Processing Systems, 36, 2023","venue":null,"work_id":"87053209-65b5-4867-8d44-e546bf28a901","year":2023},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.580009Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:6b5d4c4feceb0498fdf9bdefe881af90a95d6dcfc086479e2c8d35124fcdf59e","observation_id":"cb2fc3af-932a-45f5-8f6f-07e05e41c633","resolution":{"observed_at":"2026-08-11T22:33:35.078993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.067082Z","title":"More agents is all you need.Transactions on Machine Learning Research, 2024","venue":null,"work_id":"ede32301-44d4-4f03-a859-223243189083","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.582922Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:77ca302f242ce3c05d317954de00d16274db61ee363cc78278e767edbd5bc910","observation_id":"d73c2637-bfeb-4c4c-bd79-2c62dde6ed2a","resolution":{"observed_at":"2026-08-11T22:33:35.070048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.12601","last_updated":"2026-05-14T18:08:42Z","snapshot_observed_at":"2026-08-02T11:09:30.375825Z","submitted_at":"2025-05-19T01:33:41Z","title":"Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.12601","snapshot_observed_at":"2026-08-11T22:33:33.585771Z","title":"Rethinking predictive modeling for LLM routing: When simple kNN beats complex learned routers.arXiv preprint arXiv:2505.12601, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.585771Z"},"links":{"cited_paper":"/paper/2505.12601","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:8d45e6dd7d9c682b4ce9cccc289acf601de8927c1489c36114b1030837098afa","observation_id":"9d5a8237-155d-4f44-a068-253750a01cd3","resolution":{"observed_at":"2026-08-11T22:33:33.585771Z","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":"2601.19793","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:33:34.414978Z","title":"CASTER: Breaking the cost-performance barrier in multi-agent orchestration via context-aware strategy for task efficient routing.arXiv preprint arXiv:2601.19793, 2026","venue":null,"work_id":"0dfe4783-e963-42a6-9182-67d7d3f70d86","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.589053Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:9f66acd8a3940b40f574009ccc79d974cd59531c51f5a8c0677660fcb74c66fc","observation_id":"bac9d8cc-ccce-4041-b02c-3a6b5aee6d50","resolution":{"observed_at":"2026-08-11T22:33:34.460346Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.058301Z","title":"A dynamic LLM-powered agent network for task-oriented agent collaboration","venue":null,"work_id":"9cb01c6b-a0db-4238-9d99-15030dbe6345","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.591412Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:deb205af24eab168a11afa291e82902383a1db8d0573f3d2a441396087f7610e","observation_id":"0eefe847-f059-4f17-80cf-f13bf8617b66","resolution":{"observed_at":"2026-08-11T22:33:35.061483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.049299Z","title":"Multi-agent ai systems need transparency.Nature Machine Intelligence, 8:1, 2026","venue":null,"work_id":"beaa93a6-d279-496e-91fe-68eada10ac6b","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.594466Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:5eaa8f92644c13ad94916f514ab427bf2b7a7d2d9ccb77eb8f3ed8615b064288","observation_id":"db10553d-9e73-4dcc-8774-e53f40425e70","resolution":{"observed_at":"2026-08-11T22:33:35.052595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.041264Z","title":"Routellm: Learning to route llms with preference data","venue":null,"work_id":"682ef170-407b-45bf-877d-1b31efa8f18f","year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.597272Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:dfe135191500d32ed85a084d147ee36a4e73e352bc99b1c0663aefb6cace96ff","observation_id":"56182dc5-b108-4b8b-88bf-535a06c50b0c","resolution":{"observed_at":"2026-08-11T22:33:35.044456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.09782","last_updated":"2025-09-11T18:29:09Z","snapshot_observed_at":"2026-08-10T16:38:37.849670Z","submitted_at":"2025-09-11T18:29:09Z","title":"One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09782","snapshot_observed_at":"2026-08-11T22:33:33.599867Z","title":"One head, many models: Cross-attention routing for cost-aware LLM selection.arXiv preprint arXiv:2509.09782, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.599867Z"},"links":{"cited_paper":"/paper/2509.09782","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:9cfc549e6e49a54ac4681eaa17ac15ada23cbcd6a84209dee838d872609c394f","observation_id":"e62c98a5-3dde-4783-9372-51616ad23185","resolution":{"observed_at":"2026-08-11T22:33:33.599867Z","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":"2026-08-11T22:33:35.032827Z","title":"Chatdev: Communicative agents for software development","venue":null,"work_id":"5ac32108-7daa-4938-9f3c-2546312bae76","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.638277Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:7b40e0d557219b221a17b9aecb41fca07ea98fa0565f7f2e1ac0276943d3ffda","observation_id":"716398dd-0cf4-43eb-bed2-5bc33f68cbb5","resolution":{"observed_at":"2026-08-11T22:33:35.036218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:35.024163Z","title":"Scaling large language model-based multi-agent collaboration","venue":null,"work_id":"c7091702-bb30-4bbd-8fa7-fa777ebda03e","year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.702162Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:64c0908303a34cae624c011b4e32935ce47fdd9e1729661df43f67cef2624fdf","observation_id":"28e2819a-31e1-4b27-b8e1-007592e99251","resolution":{"observed_at":"2026-08-11T22:33:35.027631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.02258","last_updated":"2024-04-02T19:28:11Z","snapshot_observed_at":"2026-08-13T18:31:52.318837Z","submitted_at":"2024-04-02T19:28:11Z","title":"Mixture-of-Depths: Dynamically allocating compute in transformer-based language models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02258","snapshot_observed_at":"2026-08-11T22:33:33.760975Z","title":"Mixture-of-depths: Dynamically allocating compute in transformer-based language models.arXiv preprint arXiv:2404.02258, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.760975Z"},"links":{"cited_paper":"/paper/2404.02258","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:293ea501a3d4383aec706636615a940c9d93ef97857001b8ff3809a7a520e34e","observation_id":"fbb2a76e-7453-4fdd-82fa-ac977abd96cb","resolution":{"observed_at":"2026-08-11T22:33:33.760975Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15254","last_updated":"2025-06-10T21:52:15Z","snapshot_observed_at":"2026-08-12T22:39:21.535243Z","submitted_at":"2024-09-23T17:53:42Z","title":"Archon: An Architecture Search Framework for Inference-Time Techniques","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15254","snapshot_observed_at":"2026-08-11T22:33:33.858312Z","title":"Archon: An architecture search framework for inference-time techniques.arXiv preprint arXiv:2409.15254, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.858312Z"},"links":{"cited_paper":"/paper/2409.15254","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:b81ad95c90f72a233388fe9b3c156be4a6673ac49f5b1920a8576a596fb861bd","observation_id":"967eedfc-2855-47e1-b679-f9a1c3b69150","resolution":{"observed_at":"2026-08-11T22:33:33.858312Z","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":"2026-08-11T22:33:35.014989Z","title":"Confident adaptive language modeling","venue":null,"work_id":"23236e40-bc64-4261-907d-92d4d01f3fc0","year":2022},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.917897Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:48d5e5ffdef3204c9457ea9169fdebcae6640b58389a73a3b42bc76e34c57819","observation_id":"28863d41-eba4-4349-852b-d778a5f3cd9a","resolution":{"observed_at":"2026-08-11T22:33:35.018445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:34.927137Z","title":"C3PO: Optimized large language model cascades with probabilistic cost constraints for reasoning","venue":null,"work_id":"bf4893d7-1f03-4d4c-9aa0-6004c75dd681","year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.951333Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:6925a10b828ee8199fbb2ca12a953b1c624555389557d4fd2c2798c4ff82188b","observation_id":"4906ec8a-60da-477a-874c-181bd4452ef8","resolution":{"observed_at":"2026-08-11T22:33:34.963830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:34.841974Z","title":"Mixture-of-agents enhances large language model capabilities","venue":null,"work_id":"ea8a4be1-95e7-41b7-a5ed-a5f2b5fbc744","year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:33.987385Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:54b7583856df598795995983da42df2dff849f02d0f71a86052bf1399f8decdd","observation_id":"f7598d24-a6a7-49c5-b9d9-ccd2ded19c86","resolution":{"observed_at":"2026-08-11T22:33:34.883033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:34.797059Z","title":"Agentdropout: Dynamic agent elimination for token-efficient and high- performance llm-based multi-agent collaboration","venue":null,"work_id":"6d6cb8ec-07df-4c56-ab78-2a8aa4b7b350","year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.000375Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:30ab2a6a4837411feee7004c585e1843df28c20d6d510ca25f8b97c8a38c1a71","observation_id":"3e19ff36-9905-4e8e-82fb-77d07f628acd","resolution":{"observed_at":"2026-08-11T22:33:34.821813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:34.776390Z","title":"Webb, Suchol Mondal, and Ida Momennejad","venue":null,"work_id":"b0f96b74-c531-4611-bdce-cedffb7614f6","year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.015323Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:d606a21d3d06ab523837919f4d41db79d6e4635f0e2fe4b848a0cf1e576fe9f2","observation_id":"1ed15409-ac28-4a3f-8d8b-e30190441431","resolution":{"observed_at":"2026-08-11T22:33:34.779563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08155","last_updated":"2023-10-03T20:47:10Z","snapshot_observed_at":"2026-08-08T22:28:26.004138Z","submitted_at":"2023-08-16T05:57:52Z","title":"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08155","snapshot_observed_at":"2026-08-11T22:33:34.017373Z","title":"AutoGen: Enabling next-gen LLM applications via multi-agent conversation.arXiv preprint arXiv:2308.08155, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.017373Z"},"links":{"cited_paper":"/paper/2308.08155","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:0838844cc74e046941d4e3818f3e4cb1dbaa6a5d6e82f3e55d3442bbac1c3bb6","observation_id":"84709f3d-7665-4b16-9515-905d13f5cac6","resolution":{"observed_at":"2026-08-11T22:33:34.017373Z","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":"2026-08-11T22:33:34.767838Z","title":"Magic: Investigation of large language model powered multi-agent in cognition, adaptability, rationality and collaboration","venue":null,"work_id":"c88151cc-1e1c-48d4-a2cc-521bbc015b99","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.020619Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:8c6909346c681adfe8b43a2fdd683df7b3c734eaa46695c097917675dc660e4c","observation_id":"fde1ae0d-594c-4aed-b8b3-0ff7b72e9f93","resolution":{"observed_at":"2026-08-11T22:33:34.770698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.02823","last_updated":"2026-05-29T19:48:02Z","snapshot_observed_at":"2026-08-03T05:17:28.452364Z","submitted_at":"2026-02-02T21:23:51Z","title":"R2-Router: A New Paradigm for LLM Routing with Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.02823","snapshot_observed_at":"2026-08-11T22:33:34.023648Z","title":"R2-Router: A new paradigm for LLM routing with reasoning.arXiv preprint arXiv:2602.02823, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.023648Z"},"links":{"cited_paper":"/paper/2602.02823","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:e66594d3d62459edc467ccd0a657a92780e6fb74ea8ad36fa70f960125fbf239","observation_id":"7b1802aa-983e-45db-97c2-326200fb5129","resolution":{"observed_at":"2026-08-11T22:33:34.023648Z","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":"2026-08-11T22:33:34.758671Z","title":"Bamas: Structuring budget-aware multi-agent systems","venue":null,"work_id":"a13b02ec-1ac5-489f-90b2-b30a2250080d","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.027772Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:fa78c0ce1e9ac076b8a41f380c30312f8777a3110fa9101b98c8f9fd5f8ca28c","observation_id":"b533536f-594c-40c7-bf4a-0d490fea508a","resolution":{"observed_at":"2026-08-11T22:33:34.761962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11133","last_updated":"2025-02-16T14:00:59Z","snapshot_observed_at":"2026-08-07T18:14:45.344327Z","submitted_at":"2025-02-16T14:00:59Z","title":"MasRouter: Learning to Route LLMs for Multi-Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11133","snapshot_observed_at":"2026-08-11T22:33:34.030352Z","title":"MasRouter: Learning to route LLMs for multi-agent systems.arXiv preprint arXiv:2502.11133, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.030352Z"},"links":{"cited_paper":"/paper/2502.11133","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:a7bf8c701a1516843d5cafaa98c13fb3622c78cda02c783d479d46f09dd94163","observation_id":"8683b790-bb33-41de-827c-822ba7583240","resolution":{"observed_at":"2026-08-11T22:33:34.030352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.24202","last_updated":"2026-05-31T06:21:08Z","snapshot_observed_at":"2026-08-11T12:13:54.271142Z","submitted_at":"2026-05-22T20:43:30Z","title":"When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs","version":2},"cited_work":{"arxiv_id":"2605.24202","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.24202","snapshot_observed_at":"2026-08-11T22:33:34.199490Z","title":"When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs","venue":"cs.AI","work_id":"1fea655b-dc4d-40c6-a1c5-26023649020c","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.033014Z"},"links":{"cited_paper":"/paper/2605.24202","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:533d05d643eaa59e0fa1885a390ad6f000dc62fc5901a885fc5f211c14c2e933","observation_id":"c2d5d88c-688a-4af1-a683-ae3e9eca9756","resolution":{"observed_at":"2026-08-11T22:33:34.245040Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.02801","last_updated":"2026-05-04T16:42:18Z","snapshot_observed_at":"2026-08-12T21:57:48.173589Z","submitted_at":"2026-05-04T16:42:18Z","title":"Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces","version":1},"cited_work":{"arxiv_id":"2605.02801","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.02801","snapshot_observed_at":"2026-08-11T22:33:34.147362Z","title":"Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces","venue":"cs.CL","work_id":"71854ebf-4869-4126-974e-cbcde4eaaf63","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.036051Z"},"links":{"cited_paper":"/paper/2605.02801","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:3c7a0b069f7f522513a0f53d11316e08c89ecc9f4468de81c6681359ef07dbf5","observation_id":"1dcfb22f-6757-4094-9126-e0dc82064947","resolution":{"observed_at":"2026-08-11T22:33:34.150911Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:34.038721Z","title":"RerouteGuard: Understanding and mitigating adversarial risks for LLM routing.arXiv preprint arXiv:2601.21380, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.038721Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:57c5b533d3a4dff5968f2d6f53b9a453a6d50f6d9b9ed651a789434847ed0c52","observation_id":"ef91f18a-9d13-4163-a740-e2d7aaaf7c4c","resolution":{"observed_at":"2026-08-11T22:33:34.038721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.22902","last_updated":"2026-06-26T11:55:14Z","snapshot_observed_at":"2026-08-02T02:59:08.111195Z","submitted_at":"2026-06-22T06:37:31Z","title":"Agent-as-a-Router: Agentic Model Routing for Coding Tasks","version":3},"cited_work":{"arxiv_id":"2606.22902","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.22902","snapshot_observed_at":"2026-08-11T22:33:34.067772Z","title":"Agent-as-a-Router: Agentic Model Routing for Coding Tasks","venue":"cs.AI","work_id":"d69ec622-14d8-4c4f-aa20-ee7daff6a291","year":2026},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.041292Z"},"links":{"cited_paper":"/paper/2606.22902","citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:dfbb9762b074ced6fa30ce580509d132b30a756acdb5c527966fc41df602f1eb","observation_id":"79ce183f-e1ed-4ab0-913e-cdadc682eed3","resolution":{"observed_at":"2026-08-11T22:33:34.072401Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T22:33:34.748140Z","title":"entropy”, “variance","venue":null,"work_id":"6a6d6f4f-4595-4722-acb4-5c0399260447","year":2024},"citing_paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T22:33:34.044047Z"},"links":{"citing_paper":"/paper/2608.09155"},"observation_digest":"sha256:2fc4c1ba9a01a226c05e2417c705abe7ce0329975cac688713cf93bf8cc6097f","observation_id":"f011349b-36ec-46b6-9cf1-448a728e7dd5","resolution":{"observed_at":"2026-08-11T22:33:34.751432Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.09155","last_updated":"2026-08-10T06:02:32Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-13T23:41:38.600551Z","submitted_at":"2026-08-10T06:02:32Z","title":"Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":7,"verified_fuzzy":21},"total_outbound_references":43},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2608.09155."}