{"as_of":"2026-08-17T07:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fc7e183892021fa5b6b3ddd4f2b99bcfa9b624b4c14b92d45ef017bf2bacd2cc","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:13:28.949151Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T10:42:31.422275Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.07956","snapshot_observed_at":"2026-08-03T10:42:31.422275Z","title":"Symbolic regression with multimodal large language models and kolmogorov arnold networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.14288","last_updated":"2026-06-17T10:02:49Z","snapshot_observed_at":"2026-08-17T04:18:27.329335Z","submitted_at":"2026-01-14T09:41:01Z","title":"DeepInflation: an AI agent for research and model discovery of inflation","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-03T10:42:31.422275Z"},"links":{"cited_paper":"/paper/2505.07956","citing_paper":"/paper/2601.14288"},"observation_digest":"sha256:f5621aa030d5bc7099bf22c160dff444f8231502ac5a3348871bc903c9a81c9c","observation_id":"11d9499d-1d35-4a26-a067-7bd486ae2d00","resolution":{"observed_at":"2026-08-03T10:42:31.422275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.07956/citation-record","integrity":"/paper/2505.07956/integrity","json":"/paper/2505.07956/citation-record.json","paper":"/paper/2505.07956"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.01582","last_updated":"2023-05-05T17:44:07Z","snapshot_observed_at":"2026-08-15T03:20:28.565133Z","submitted_at":"2023-05-02T16:31:35Z","title":"Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.01582","snapshot_observed_at":"2026-08-15T22:13:28.687053Z","title":"Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.687053Z"},"links":{"cited_paper":"/paper/2305.01582","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:1cfbb3b45719a3b2e26a05568b41807c25462c57e72fe6a3d1ca7fa4fd9f4f74","observation_id":"3bdd03ad-10f2-49f1-9f4e-24bfd28f468a","resolution":{"observed_at":"2026-08-15T22:13:28.687053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:13:28.749319Z","title":"Operon c++: An efficient genetic programming framework for symbolic regression,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.749319Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:312532cdb2cac735a78b9e8480dd478cf8a2184bcdeca9651b2c896cd2bd9fed","observation_id":"5799a711-c087-4391-8fff-ae49f4efdd1a","resolution":{"observed_at":"2026-08-15T22:13:28.749319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.11461","last_updated":"2023-05-29T09:17:33Z","snapshot_observed_at":"2026-08-16T16:14:32.350584Z","submitted_at":"2022-11-21T13:48:52Z","title":"Exhaustive Symbolic Regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.11461","snapshot_observed_at":"2026-08-15T22:13:28.754007Z","title":"Exhaustive Symbolic Regression,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.754007Z"},"links":{"cited_paper":"/paper/2211.11461","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:ec0262fa0ef7cd9bb3bd760608d841a9e1635eaa06cb89d594be8ff49f47ea2b","observation_id":"497cc4d5-4037-4d46-80f6-79630528327c","resolution":{"observed_at":"2026-08-15T22:13:28.754007Z","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":"2026-08-15T22:13:29.350316Z","title":"Mathematical discoveries from program search with large language models,","venue":null,"work_id":"578af764-af53-4ee0-9f77-292d48eb0c05","year":2024},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.759125Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:2a9757ae082a726df5e986a9cebe36536a21dbd744f0f7e29da9dd0561b376e4","observation_id":"b3f05434-dda4-49e2-91a9-0dd88ec1aac0","resolution":{"observed_at":"2026-08-15T22:13:29.387774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:13:29.309124Z","title":"Llm-lex","venue":null,"work_id":"fbe4e275-6882-4507-bff1-9f22a7ec8c5b","year":null},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.763692Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:1bab38d37ae359a31f5c9eec81e1063252c89c32be391d7b0ec4aac22948e0d5","observation_id":"86b10e37-5412-47a9-9392-7e341086f1c5","resolution":{"observed_at":"2026-08-15T22:13:29.312607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:13:28.770493Z","title":"Mathematica, Version 14.2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.770493Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:f5fa65631695c70f31b44208070f56100c7f1e6c3bc65610b57e470852226387","observation_id":"3d5174c4-04d1-43c2-98cd-99e63729dafa","resolution":{"observed_at":"2026-08-15T22:13:28.770493Z","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":"2026-08-15T22:13:29.290524Z","title":"A survey of parallel genetic algorithms,","venue":null,"work_id":"30c4f01f-d2b2-47a3-8d7e-43f751e6b186","year":1998},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.775590Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:59c43fec13439151927a49ace458c1abdf11c6acd2baad0fc1cb95b01a4a6ff6","observation_id":"1b5e5e45-e004-4aa5-9fc4-58cf9066ac67","resolution":{"observed_at":"2026-08-15T22:13:29.294219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05121","last_updated":"2025-02-07T17:48:42Z","snapshot_observed_at":"2026-08-15T16:02:45.528154Z","submitted_at":"2025-02-07T17:48:42Z","title":"Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05121","snapshot_observed_at":"2026-08-15T22:13:28.782224Z","title":"Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.782224Z"},"links":{"cited_paper":"/paper/2502.05121","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:7cb63cfc03e16baef35221833f4a11e289d4667d5654c798f308266decd33c32","observation_id":"044a7852-5dda-4576-be1b-120483c714cb","resolution":{"observed_at":"2026-08-15T22:13:28.782224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11061","last_updated":"2025-03-17T01:42:26Z","snapshot_observed_at":"2026-08-16T12:50:09.278825Z","submitted_at":"2025-03-14T03:54:43Z","title":"Generative Modeling for Mathematical Discovery","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.11061","snapshot_observed_at":"2026-08-15T22:13:28.787627Z","title":"Generative modeling for mathematical discovery,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.787627Z"},"links":{"cited_paper":"/paper/2503.11061","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:bc395cbf36e8774f7e5653acfb92477853d66c66b760c69b0401ec4d7fdb724b","observation_id":"81d00992-3f67-46bc-93d7-4ceb070fb283","resolution":{"observed_at":"2026-08-15T22:13:28.787627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.14351","last_updated":"2021-07-29T22:12:59Z","snapshot_observed_at":"2026-08-17T07:14:16.654547Z","submitted_at":"2021-07-29T22:12:59Z","title":"Contemporary Symbolic Regression Methods and their Relative Performance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.14351","snapshot_observed_at":"2026-08-15T22:13:28.792378Z","title":"Contemporary symbolic regression methods and their relative performance,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.792378Z"},"links":{"cited_paper":"/paper/2107.14351","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:ecd39a9930d39e68f6124c583fa10095102eab691ee21569a34c7ad8f32efb0e","observation_id":"96fa6361-94b7-4c9f-bf3f-46046ddb1996","resolution":{"observed_at":"2026-08-15T22:13:28.792378Z","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":"2026-08-15T22:13:29.276873Z","title":null,"venue":null,"work_id":"18c970dc-7c82-4c03-b4bc-7ca54210d7a0","year":2008},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.797342Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:d28d16a8c5d4831ff17b09792c08f4ae461a7d766be38e08eeb572717f37ad72","observation_id":"b57fa8d7-25a4-455b-82d2-c4d6fe974a52","resolution":{"observed_at":"2026-08-15T22:13:29.282721Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-17T02:49:48.395338Z","submitted_at":"2024-04-29T03:30:06Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-15T22:13:28.871150Z","title":"Llm-sr: Scientific equation discovery via programming with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.871150Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:81b307ded22db37a9b3e34303a3d4dcafa93f879c395138d0dea872c09f9a3fc","observation_id":"0742899a-21ff-4114-8305-ec79a32995e7","resolution":{"observed_at":"2026-08-15T22:13:28.871150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19094","last_updated":"2024-07-17T15:29:18Z","snapshot_observed_at":"2026-08-16T13:56:48.898115Z","submitted_at":"2024-04-29T20:19:25Z","title":"In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19094","snapshot_observed_at":"2026-08-15T22:13:28.921995Z","title":"In-context symbolic regression: Leveraging large language models for function discovery,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.921995Z"},"links":{"cited_paper":"/paper/2404.19094","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:e22538881edf68fa0ebb46db129a8733357af4db16743afd0c55b44d26c5d0cb","observation_id":"5f699400-6e70-4244-9557-494ef043f6c8","resolution":{"observed_at":"2026-08-15T22:13:28.921995Z","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":"2026-08-15T22:13:29.264293Z","title":"Symbolic regression with a learned concept library,","venue":null,"work_id":"4376af87-cd3c-4590-9cac-7fd76bf8edf4","year":2024},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.928993Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:1d15e3d6c7ab64ce597c68fd9dbab5de493e5b443df4f0a14b758502c81783ae","observation_id":"9e2d3934-36d6-4be5-86aa-6073ed65041b","resolution":{"observed_at":"2026-08-15T22:13:29.268648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:13:28.933844Z","title":"Visymre: Vision-guided multimodal symbolic regression,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.933844Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:8c249b238f82680ba7e8bc6a984d84549474521f54a7e92dfc96244febd70fae","observation_id":"bc777069-bb92-449d-b262-bdd0516d6e71","resolution":{"observed_at":"2026-08-15T22:13:28.933844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19756","last_updated":"2025-02-09T21:09:09Z","snapshot_observed_at":"2026-08-15T02:33:31.807561Z","submitted_at":"2024-04-30T17:58:29Z","title":"KAN: Kolmogorov-Arnold Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19756","snapshot_observed_at":"2026-08-15T22:13:28.941132Z","title":"KAN: Kolmogorov-Arnold Networks,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.941132Z"},"links":{"cited_paper":"/paper/2404.19756","citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:7b2ea37be7e8c34e8cc7e885cd1c1d19a982ef2e4806460bf5e96108c93c07c9","observation_id":"8b80e0c2-d4e7-4280-97e8-ff79aa084c27","resolution":{"observed_at":"2026-08-15T22:13:28.941132Z","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":"2026-08-15T22:13:29.249715Z","title":"Sympy: symbolic computing in python,","venue":null,"work_id":"03f1c764-a883-407c-8f71-13632aab6e20","year":2017},"citing_paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T22:13:28.949151Z"},"links":{"citing_paper":"/paper/2505.07956"},"observation_digest":"sha256:b277383a607c1357e495a613694c622da99782f1d7dedb06a291323a6c2f429d","observation_id":"e6ce9d88-fc2b-49db-9285-1684ff261e23","resolution":{"observed_at":"2026-08-15T22:13:29.255743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.07956","last_updated":"2025-05-12T18:00:41Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T07:31:44.391952Z","submitted_at":"2025-05-12T18:00:41Z","title":"Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":5},"total_outbound_references":17},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2505.07956."}