{"as_of":"2026-08-14T20:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:190e9ae3e30d3f2de6a3b67ec1046b12ed16695f8525e7d8597f3dcc4778f306","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":54,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:02:19.378304Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":4,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2410.17448","last_updated":"2026-04-16T15:22:12Z","snapshot_observed_at":"2026-08-12T03:01:23.217176Z","submitted_at":"2024-10-22T21:50:52Z","title":"In Context Learning and Reasoning for Symbolic Regression with Large Language Models","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-23T18:50:40.378720Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2410.17448"},"observation_digest":"sha256:34de81309e64f2fb9656bf97b7cd2a02b4dbc25e16cac267a3e7132f447142f2","observation_id":"8f35433b-b979-4ad1-bad0-1423d6f6029c","resolution":{"observed_at":"2026-05-23T18:53:21.226094Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-12T19:02:19.378304Z","title":"LLM - SR : Scientific equation discovery via programming with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.11910","last_updated":"2024-11-24T12:59:44Z","snapshot_observed_at":"2026-08-14T02:34:22.228518Z","submitted_at":"2024-11-17T13:40:35Z","title":"AIGS: Generating Science from AI-Powered Automated Falsification","version":2},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-12T19:02:19.378304Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2411.11910"},"observation_digest":"sha256:3d0dd8d1d07539b71da52e49ca9784df1f96a4e1df03a190f6a1a34c269129a4","observation_id":"885e0381-666e-484c-b7db-d0e23d8974fd","resolution":{"observed_at":"2026-08-12T19:02:19.378304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-11T15:00:20.158435Z","title":"B.; and Reddy, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11427","last_updated":"2024-12-21T19:22:53Z","snapshot_observed_at":"2026-08-12T22:15:43.278365Z","submitted_at":"2024-12-16T03:52:20Z","title":"Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-11T15:00:20.158435Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2412.11427"},"observation_digest":"sha256:2455497e28054baec5c64bb29ce338a3a894d3d2cc9f4824ab4f170544d4ce64","observation_id":"2e2c5bc0-a7b8-4a0e-b6bf-2dc881f02423","resolution":{"observed_at":"2026-08-11T15:00:20.158435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-11T17:53:25.378239Z","title":"Shojaeeet al., LLM-SR: Scientific equation discovery via programming with large language models, ICLR, (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12161","last_updated":"2025-04-22T22:11:42Z","snapshot_observed_at":"2026-08-12T01:21:40.330369Z","submitted_at":"2024-12-11T15:30:21Z","title":"Discover physical concepts and equations with machine learning","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T17:53:25.378239Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2412.12161"},"observation_digest":"sha256:202d41b74821cf0ebdb9dfe81f6c853f0a022d93efe0e4adc50cc979e1711e5e","observation_id":"ef237406-fa20-4bfb-b836-70eb51606fd1","resolution":{"observed_at":"2026-08-11T17:53:25.378239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-11T14:06:55.388023Z","title":"B.; and Reddy, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12483","last_updated":"2024-12-18T07:57:21Z","snapshot_observed_at":"2026-08-14T06:49:18.626701Z","submitted_at":"2024-12-17T02:37:48Z","title":"AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T14:06:55.388023Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2412.12483"},"observation_digest":"sha256:dbe25e1e372b010862e70f6ed86f158500adc672e214b8f7c909f87843242084","observation_id":"4a854fc0-ead9-4283-b84e-55af277cb7de","resolution":{"observed_at":"2026-08-11T14:06:55.388023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-11T13:00:01.580091Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13645","last_updated":"2024-12-18T09:22:08Z","snapshot_observed_at":"2026-08-13T07:06:18.634697Z","submitted_at":"2024-12-18T09:22:08Z","title":"On the Role of Model Prior in Real-World Inductive Reasoning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T13:00:01.580091Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2412.13645"},"observation_digest":"sha256:2c7fb847e5b924d2321253e3778c589e8c0790827b589a5b1dec3d3d08fdd045","observation_id":"d5a0b773-a6f7-4620-bcb0-6c00ee565969","resolution":{"observed_at":"2026-08-11T13:00:01.580091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-10T21:39:25.670466Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04306","last_updated":"2025-01-08T06:44:02Z","snapshot_observed_at":"2026-08-13T09:15:34.978879Z","submitted_at":"2025-01-08T06:44:02Z","title":"LLM4SR: A Survey on Large Language Models for Scientific Research","version":1},"reference_index":145,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:25.670466Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2501.04306"},"observation_digest":"sha256:3fc0219dbf1b785dcd4594180cdc576ed5f1728f97c029e6a632acbe01bbace8","observation_id":"38bf1f2e-1054-4ba8-afed-796cbade0481","resolution":{"observed_at":"2026-08-10T21:39:25.670466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2501.09686","last_updated":"2025-01-23T08:44:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-16T17:37:58Z","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","version":3},"reference_index":132,"source":"pdf_text","source_observed_at":"2026-05-15T21:20:59.128986Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2501.09686"},"observation_digest":"sha256:7a60e87c1d69d23ae206914bf7096581a21b2b07e552824d5d21a4f2fbf5614f","observation_id":"6f6a3525-6a5c-48f2-84cd-8cadd09b1eea","resolution":{"observed_at":"2026-05-15T21:20:59.269537Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2502.02871","last_updated":"2026-04-20T02:18:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-05T04:05:27Z","title":"Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning","version":2},"reference_index":169,"source":"arxiv_source","source_observed_at":"2026-05-23T04:30:38.804702Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2502.02871"},"observation_digest":"sha256:3eb3e08144923c69c773d7fca4834ad0210c6d0a9a01e95df1e555a7e850a9cc","observation_id":"4ebce4d9-5a81-493e-b129-a7953f5893f4","resolution":{"observed_at":"2026-05-23T04:32:32.769882Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-07T19:36:04.202859Z","title":"Llm-sr: Sci- entific equation discovery via programming with large lan- guage models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.10060","last_updated":"2025-02-14T10:26:14Z","snapshot_observed_at":"2026-08-14T15:12:22.131868Z","submitted_at":"2025-02-14T10:26:14Z","title":"DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T19:36:04.202859Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2502.10060"},"observation_digest":"sha256:bd549465ded13710a28425599895eb14f4c398fea9fbbd4bec6500b3901ee6c0","observation_id":"ef58340c-f95b-462c-b5f1-89e9c00a031d","resolution":{"observed_at":"2026-08-07T19:36:04.202859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2503.14434","last_updated":"2026-05-10T22:59:47Z","snapshot_observed_at":"2026-07-06T20:54:50.337775Z","submitted_at":"2025-03-18T17:11:24Z","title":"LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-22T23:37:02.348595Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2503.14434"},"observation_digest":"sha256:95dfc7fcb69ba9c056d5f27dca1017a7e5d892e8f7b27da89f03b4a162595fc9","observation_id":"b864ffcb-4d5d-4e69-b8af-5be7a018671c","resolution":{"observed_at":"2026-05-22T23:37:15.404172Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-07T15:30:11.470078Z","title":"Llm-sr: Scientific equation discovery via programming with large language models.arXiv preprint arXiv:2404.18400,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14948","last_updated":"2025-05-20T22:17:47Z","snapshot_observed_at":"2026-08-12T12:54:06.531317Z","submitted_at":"2025-05-20T22:17:47Z","title":"Programmatic Video Prediction Using Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:30:11.470078Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2505.14948"},"observation_digest":"sha256:0ad03f450cfd7d445586273f14eba347d7553310b5886f133df1d70cfdea0010","observation_id":"816c6a57-fd57-4468-bd45-8dba583a1448","resolution":{"observed_at":"2026-08-07T15:30:11.470078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-07T15:02:38.598202Z","title":"Learning to Reason with LLMs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16477","last_updated":"2025-05-22T10:05:48Z","snapshot_observed_at":"2026-08-09T12:02:28.335168Z","submitted_at":"2025-05-22T10:05:48Z","title":"Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T15:02:38.598202Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2505.16477"},"observation_digest":"sha256:39ca473f7e4e4ee7d484419f19512e7167defc45ad5c4a9ed553552624702d80","observation_id":"0b393a8a-fcd1-4bbb-8438-390f1d3f401a","resolution":{"observed_at":"2026-08-07T15:02:38.598202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-07T12:22:22.780339Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24823","last_updated":"2025-05-30T17:25:20Z","snapshot_observed_at":"2026-08-09T05:39:20.850711Z","submitted_at":"2025-05-30T17:25:20Z","title":"PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T12:22:22.780339Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2505.24823"},"observation_digest":"sha256:418aa5e654ae5792a9612ae9b3f96bc5aa78c5cd44fe23577a4deef5dc96d059","observation_id":"0e7d5fea-6140-40d0-9f66-44aae2f38c47","resolution":{"observed_at":"2026-08-07T12:22:22.780339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-07T11:05:45.440706Z","title":"Llm-sr: Scientific equation discovery via programming with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04282","last_updated":"2025-06-04T04:52:34Z","snapshot_observed_at":"2026-08-13T16:32:30.696073Z","submitted_at":"2025-06-04T04:52:34Z","title":"DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:05:45.440706Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2506.04282"},"observation_digest":"sha256:b8e35bd85b4afd919305d19390dbb78aa2773c0371f7ba0cfd85cc3eb78d0808","observation_id":"20970ee5-a923-4e85-a68c-2afb87fa8c92","resolution":{"observed_at":"2026-08-07T11:05:45.440706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-06T22:44:00.078070Z","title":"Llm-sr: Scientific equation discovery via pro- gramming with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20963","last_updated":"2025-07-04T01:31:36Z","snapshot_observed_at":"2026-08-09T23:24:21.009731Z","submitted_at":"2025-06-26T03:01:33Z","title":"EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:44:00.078070Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2506.20963"},"observation_digest":"sha256:23d6d65514007b849278fb4a6d879430d6b8452fdf57a38a6a0f39477f6ec082","observation_id":"33d12c52-6780-4edc-ba04-77da5e147745","resolution":{"observed_at":"2026-08-06T22:44:00.078070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2507.15774","last_updated":"2026-05-14T16:58:20Z","snapshot_observed_at":"2026-08-12T18:27:06.012431Z","submitted_at":"2025-07-21T16:29:29Z","title":"Time Series Forecasting Through the Lens of Dynamics","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-19T03:31:48.513830Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2507.15774"},"observation_digest":"sha256:0a060d2664049421b85b9f229e88bb455fc88bb567d9b5e79a5472f209242bb9","observation_id":"c5ef3ed0-ea0b-46bb-96a2-524ab8e3888a","resolution":{"observed_at":"2026-05-19T03:32:01.242906Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-05T23:01:41.622165Z","title":"Llm-sr: Scientific equation discovery via programming with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.06014","last_updated":"2025-08-08T05:01:17Z","snapshot_observed_at":"2026-08-14T19:57:46.851976Z","submitted_at":"2025-08-08T05:01:17Z","title":"ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T23:01:41.622165Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2508.06014"},"observation_digest":"sha256:f57b228d0e34cc8abbedd111236f3774fa50081ca5f858b8256cf09641e13dfc","observation_id":"9a5c2095-d3a9-4472-b9e1-c4fa2dc9bd5c","resolution":{"observed_at":"2026-08-05T23:01:41.622165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-04T22:22:13.371868Z","title":"arXiv preprint arXiv:2404.18400 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07367","last_updated":"2025-09-09T03:28:06Z","snapshot_observed_at":"2026-08-08T12:12:24.053049Z","submitted_at":"2025-09-09T03:28:06Z","title":"Autonomous Code Evolution Meets NP-Completeness","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T22:22:13.371868Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2509.07367"},"observation_digest":"sha256:760487d6d214f247bdb779aa970bed8f2b790fca2718c550e2abdcb233f52645","observation_id":"7db704fa-c070-4824-9953-fd4bfb1f4bdd","resolution":{"observed_at":"2026-08-04T22:22:13.371868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-04T09:23:47.691089Z","title":"Llm-sr: Scientific equation discovery via programming with large language models.arXiv preprint arXiv:2404.18400,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.15614","last_updated":"2026-05-29T08:57:54Z","snapshot_observed_at":"2026-08-06T16:25:44.327484Z","submitted_at":"2025-10-17T13:00:32Z","title":"HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T09:23:47.691089Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2510.15614"},"observation_digest":"sha256:8bff108aef32559df7466e1150fe9847520a477749c1e44618c99434391adfa5","observation_id":"428d3ee3-5fc5-4bc7-a0da-69f4ae90fa1a","resolution":{"observed_at":"2026-08-04T09:23:47.691089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2510.25223","last_updated":"2026-04-22T03:39:54Z","snapshot_observed_at":"2026-08-13T11:58:41.601011Z","submitted_at":"2025-10-29T06:57:32Z","title":"FELA: A Multi-Agent Evolutionary System for Feature Engineering of Industrial Event Log Data","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-18T04:01:42.574800Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2510.25223"},"observation_digest":"sha256:971db55d22325d314506d01f81777a3720067f369e5dccafbbd176bcf6d40b3c","observation_id":"ade72382-3882-4f54-b2c8-9ee15ae815d2","resolution":{"observed_at":"2026-05-18T04:02:23.197891Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-03T21:50:15.741703Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.13663","last_updated":"2026-06-02T16:19:57Z","snapshot_observed_at":"2026-08-06T00:47:45.850094Z","submitted_at":"2025-11-17T18:16:36Z","title":"SAIL: Sound Abstract Interpreters with LLMs","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T21:50:15.741703Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2511.13663"},"observation_digest":"sha256:35a82bdd2d5f184a72571104b86e5f0da9bfbacc3789060da8eb20d1b17e5f89","observation_id":"46fbe78e-7f4f-4d86-943f-8d9bc969ce5f","resolution":{"observed_at":"2026-08-03T21:50:15.741703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-03T10:42:31.155378Z","title":"Shojaee, K","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.14288","last_updated":"2026-06-17T10:02:49Z","snapshot_observed_at":"2026-08-13T11:35:06.880633Z","submitted_at":"2026-01-14T09:41:01Z","title":"DeepInflation: an AI agent for research and model discovery of inflation","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-03T10:42:31.155378Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2601.14288"},"observation_digest":"sha256:750d7476f4bb9edc212c8f84ed6f55679534fe0d721735646c3282e55e003078","observation_id":"c6c7b40f-4d49-4f37-aeba-e61354c0717a","resolution":{"observed_at":"2026-08-03T10:42:31.155378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-03T07:46:08.878538Z","title":"Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, and Greg Durrett","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.19302","last_updated":"2026-05-27T06:20:08Z","snapshot_observed_at":"2026-08-10T04:24:19.785909Z","submitted_at":"2026-01-27T07:42:20Z","title":"Formula-One Prompting: A Composable Equation-First Prefix for Applied Mathematics","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T07:46:08.878538Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2601.19302"},"observation_digest":"sha256:7b190e49f510f06d271a410331a2fabd76625c270fe0d468dc1422fe71c7bdae","observation_id":"5d4383ee-5dfb-4f81-8d37-879ea8032e46","resolution":{"observed_at":"2026-08-03T07:46:08.878538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-03T01:09:55.022018Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.10576","last_updated":"2026-07-27T06:08:51Z","snapshot_observed_at":"2026-08-14T19:14:05.154080Z","submitted_at":"2026-02-11T07:02:23Z","title":"LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T01:09:55.022018Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2602.10576"},"observation_digest":"sha256:b960420394bf3bd24c2055beb2cbbe0528d74190b3ed1720b1042287078e4c61","observation_id":"01d92851-874a-4664-a7ea-5799adaee9f5","resolution":{"observed_at":"2026-08-03T01:09:55.022018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2604.06998","last_updated":"2026-06-10T10:50:23Z","snapshot_observed_at":"2026-07-13T08:45:25.427918Z","submitted_at":"2026-04-08T12:15:19Z","title":"Identifying Topological Invariants of Non-Hermitian Systems via Domain-Adaptive Multimodal Model for Mathematics","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-10T18:16:23.776505Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2604.06998"},"observation_digest":"sha256:d24a0b808f3baaec0f28724f3c71bbf6d3a46c9322bdaba97cac7b71c3db4b7d","observation_id":"c6b5c4ba-09e8-4ac9-900e-a711e85c83b0","resolution":{"observed_at":"2026-05-11T05:10:55.145881Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2604.06998","last_updated":"2026-06-10T10:50:23Z","snapshot_observed_at":"2026-07-13T08:45:25.427918Z","submitted_at":"2026-04-08T12:15:19Z","title":"Identifying Topological Invariants of Non-Hermitian Systems via Domain-Adaptive Multimodal Model for Mathematics","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-21T10:16:00.039638Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2604.06998"},"observation_digest":"sha256:d06508f312f7712d9a1619834dc153a90b9c75ce5d023ef94b1db3c4856ba480","observation_id":"8150cadd-e499-4947-9b9f-70c0351a87e0","resolution":{"observed_at":"2026-05-21T10:20:00.183601Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2604.09548","last_updated":"2026-01-16T04:51:09Z","snapshot_observed_at":"2026-08-11T14:19:44.570322Z","submitted_at":"2026-01-16T04:51:09Z","title":"Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-16T14:12:21.237364Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2604.09548"},"observation_digest":"sha256:523b2264b7c4994a4ff2afd3c90d367cd87f616416136f81940d7b59d3a2e038","observation_id":"c49b81b1-516d-449f-9651-0284c853f003","resolution":{"observed_at":"2026-05-16T14:12:58.595941Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2604.16232","last_updated":"2026-07-13T18:09:31Z","snapshot_observed_at":"2026-08-11T17:29:39.309296Z","submitted_at":"2026-04-17T16:46:23Z","title":"Neuro-Symbolic ODE Discovery with Latent Grammar Flow","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T08:36:18.119381Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2604.16232"},"observation_digest":"sha256:7d6544e654f4b85eef198c1bae3f5b08f7262dc0fa4d86ed314c549fdd84ea1e","observation_id":"ac616606-a920-43f8-b41b-00d386bcd157","resolution":{"observed_at":"2026-05-10T08:48:02.511351Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-07-15T12:27:15.229823Z","title":"Shojaee, K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.16232","last_updated":"2026-07-13T18:09:31Z","snapshot_observed_at":"2026-08-11T17:29:39.309296Z","submitted_at":"2026-04-17T16:46:23Z","title":"Neuro-Symbolic ODE Discovery with Latent Grammar Flow","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-15T12:27:15.229823Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2604.16232"},"observation_digest":"sha256:0297cf55b126e3a1aa6be559a1a9baf314f946202357367701065c1d29f004a4","observation_id":"feea4720-af7a-4162-a385-f5bc841e799a","resolution":{"observed_at":"2026-07-15T12:27:15.229823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2604.19789","last_updated":"2026-04-01T18:10:40Z","snapshot_observed_at":"2026-08-13T08:40:41.893878Z","submitted_at":"2026-04-01T18:10:40Z","title":"From Data to Theory: Autonomous Large Language Model Agents for Materials Science","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-13T22:39:23.431873Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2604.19789"},"observation_digest":"sha256:889110e828dd38c99e34f9fb67708dcc1e7ed1591aee3c7d566f3ac51b08818f","observation_id":"563ae116-24bd-4487-b800-e97d9cb88cfa","resolution":{"observed_at":"2026-05-13T22:43:23.358953Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2605.03101","last_updated":"2026-05-04T19:34:03Z","snapshot_observed_at":"2026-08-14T11:02:31.435268Z","submitted_at":"2026-05-04T19:34:03Z","title":"Programmatic Context Augmentation for LLM-based Symbolic Regression","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-08T18:26:09.810673Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2605.03101"},"observation_digest":"sha256:9983aba8bf6d078a84ae47759d3fbfcffe67a7484c9221f8dd0f555e904f6abb","observation_id":"f85a4e1c-81ff-40f9-9d4b-507022c3106e","resolution":{"observed_at":"2026-05-09T06:25:48.431757Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2605.07039","last_updated":"2026-05-07T23:38:50Z","snapshot_observed_at":"2026-08-02T16:36:23.528400Z","submitted_at":"2026-05-07T23:38:50Z","title":"PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-11T00:54:39.349292Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2605.07039"},"observation_digest":"sha256:0c51e9d30c6c1d7dfb0826021f82624514a080a9c38e8f6cf378497961c72478","observation_id":"7d21673c-9f1e-4444-b1f7-c71b3a582d57","resolution":{"observed_at":"2026-05-11T05:00:56.496897Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2605.15308","last_updated":"2026-05-14T18:21:08Z","snapshot_observed_at":"2026-08-02T20:42:03.805734Z","submitted_at":"2026-05-14T18:21:08Z","title":"SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T16:22:12.940259Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2605.15308"},"observation_digest":"sha256:31c05a158307dcc9978c07e3d50e050f0b76d8ef772a838bf4e819e7ecb95e5b","observation_id":"4a302a4b-ca2d-46df-a91c-5830f9f1a6cc","resolution":{"observed_at":"2026-05-19T16:22:39.516588Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2605.21160","last_updated":"2026-05-20T13:27:39Z","snapshot_observed_at":"2026-07-06T23:31:37.061253Z","submitted_at":"2026-05-20T13:27:39Z","title":"Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-21T05:55:25.350890Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2605.21160"},"observation_digest":"sha256:61cef296670fc29a97baad58c8f1b66c1ca481227e7910b2947a48b24547080b","observation_id":"3b38bffd-047c-48a6-a05e-eb39ff0f116a","resolution":{"observed_at":"2026-05-21T05:59:41.172254Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2605.29475","last_updated":"2026-06-08T09:20:10Z","snapshot_observed_at":"2026-08-05T17:42:49.992126Z","submitted_at":"2026-05-28T07:06:10Z","title":"MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T07:47:08.606566Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2605.29475"},"observation_digest":"sha256:e1fb6947ca3fa914cc062ad6024f23d34e5a423b85de19a950e14d2cbb79ba50","observation_id":"bedc050d-7dd2-4747-b751-09e7f6a18f50","resolution":{"observed_at":"2026-06-29T07:53:13.787167Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2605.30954","last_updated":"2026-05-29T07:48:46Z","snapshot_observed_at":"2026-08-01T19:25:04.841742Z","submitted_at":"2026-05-29T07:48:46Z","title":"GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T20:21:31.456568Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2605.30954"},"observation_digest":"sha256:0794d567c6090b34ca0ebc3ef91306b05bb87f12a7176c5442419139fdecd4b4","observation_id":"324e2ce5-3e91-4229-823d-25db20cdca7a","resolution":{"observed_at":"2026-06-28T20:22:36.531133Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2605.30961","last_updated":"2026-05-29T07:56:31Z","snapshot_observed_at":"2026-07-06T23:40:12.939143Z","submitted_at":"2026-05-29T07:56:31Z","title":"EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-28T22:29:44.078911Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2605.30961"},"observation_digest":"sha256:cb4baee101bfbbddf25224ec34eae6e19617c584aa12c155f93e6165a1bd6741","observation_id":"e218299e-6c9f-45aa-a2cc-ca91ee8f8a97","resolution":{"observed_at":"2026-06-28T22:32:44.171586Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2606.07704","last_updated":"2026-06-05T09:18:01Z","snapshot_observed_at":"2026-08-02T08:25:05.777025Z","submitted_at":"2026-06-05T09:18:01Z","title":"FunctionEvolve: Structure-Guided Symbolic Regression with LLMs","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-06-27T22:49:40.344762Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2606.07704"},"observation_digest":"sha256:3ad451a38a24f6e966c3d610f3fd149afbfeae9fedca20a665428369cc60876b","observation_id":"ad7e42a0-3048-4f04-8e85-a7caab7a52f1","resolution":{"observed_at":"2026-07-02T16:17:09.440986Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2606.07915","last_updated":"2026-06-06T00:37:03Z","snapshot_observed_at":"2026-07-06T23:47:29.065892Z","submitted_at":"2026-06-06T00:37:03Z","title":"EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-27T20:15:18.492669Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2606.07915"},"observation_digest":"sha256:5df561cd728792319603f8e2baefd86c6649b6ad2eb4155b958fe8f010cea7fe","observation_id":"2105d8c2-20d1-4ee2-a425-f1fd6efea481","resolution":{"observed_at":"2026-07-02T20:47:22.648554Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2606.11605","last_updated":"2026-06-10T03:05:42Z","snapshot_observed_at":"2026-08-14T02:27:29.522174Z","submitted_at":"2026-06-10T03:05:42Z","title":"Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T10:27:41.409357Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2606.11605"},"observation_digest":"sha256:9a3507e6bd75f2b051412f9c691c152cc2170179f64aeed3434a4214aae630ea","observation_id":"e93b92ca-a3c1-46ed-95bc-c25c7cd34a48","resolution":{"observed_at":"2026-07-03T09:17:48.536035Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2606.20467","last_updated":"2026-06-18T16:46:42Z","snapshot_observed_at":"2026-08-08T02:14:14.642400Z","submitted_at":"2026-06-18T16:46:42Z","title":"Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-26T17:55:29.374545Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2606.20467"},"observation_digest":"sha256:3a17160f79b0931484c74b2325c500c5d3a4248c08022de5ff6aac0cfdd59876","observation_id":"2295a799-da5f-41f6-8310-edefd6fd54f1","resolution":{"observed_at":"2026-06-26T17:59:40.644989Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2606.20873","last_updated":"2026-06-18T19:02:17Z","snapshot_observed_at":"2026-08-07T04:47:33.342706Z","submitted_at":"2026-06-18T19:02:17Z","title":"SciLens: Multi-modal Scientific Claim Verification with Agentic Entailment and Grounding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T17:17:53.433056Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2606.20873"},"observation_digest":"sha256:ec4ae5b80fd025510919fbdc2ebd59e0e9223a6c83aa28c06dd0997680bce8e5","observation_id":"750c7364-413c-4b90-9003-cdae108433af","resolution":{"observed_at":"2026-07-04T03:59:34.090827Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2606.30699","last_updated":"2026-06-29T07:35:59Z","snapshot_observed_at":"2026-08-12T18:27:09.312672Z","submitted_at":"2026-06-29T07:35:59Z","title":"Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-01T07:19:48.381084Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2606.30699"},"observation_digest":"sha256:8ea38381bb9b40fcc422795f4bd326b122867ffa590c605f1dfb50e3cb6657d2","observation_id":"872749db-cbe6-4c5c-8a3e-99e86716a8ef","resolution":{"observed_at":"2026-07-01T08:35:34.265059Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2606.31314","last_updated":"2026-06-30T08:23:44Z","snapshot_observed_at":"2026-07-07T00:05:02.977105Z","submitted_at":"2026-06-30T08:23:44Z","title":"A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-01T04:39:06.279450Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2606.31314"},"observation_digest":"sha256:4a933c9e4e29b664394c8afddedbb2532267d5e67f0c5a1d311f4d40df13b47f","observation_id":"c3bc2b92-9de6-4964-a15f-7eda04472384","resolution":{"observed_at":"2026-07-01T11:15:42.786680Z","resolver_source":"arxiv_id","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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2404.18400","doi":"10.48550/arxiv.2404.18400","metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18400","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","venue":"arXiv (Cornell University)","work_id":"367e8d49-24e8-41dc-ac5c-7af7bc49a21f","year":2025},"citing_paper":{"arxiv_id":"2607.00733","last_updated":"2026-07-01T10:17:46Z","snapshot_observed_at":"2026-08-08T11:27:21.905622Z","submitted_at":"2026-07-01T10:17:46Z","title":"LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-02T16:15:45.767727Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2607.00733"},"observation_digest":"sha256:bcff14d9534180f0efb76ff7b0f461cb90809beb9f8d00be60df9b4add304dcd","observation_id":"104d9ca8-45a1-4c93-974c-e38779870b4e","resolution":{"observed_at":"2026-07-02T16:17:08.275240Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-07-14T14:06:35.756620Z","title":"arXiv preprint arXiv:2404.18400 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10127","last_updated":"2026-07-11T05:32:54Z","snapshot_observed_at":"2026-08-06T17:02:51.622017Z","submitted_at":"2026-07-11T05:32:54Z","title":"GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-14T14:06:35.756620Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2607.10127"},"observation_digest":"sha256:23677e293b0a7c9de205c8d605f67ef27c3357b8a8cfc0490cad8dbf3fd32560","observation_id":"bf4727b4-9d96-4246-9704-7d11c2f6f46a","resolution":{"observed_at":"2026-07-14T14:06:35.756620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-07-14T10:56:35.866730Z","title":"Llm-sr: Scientific equation discovery via programming with large language models.arXiv preprint arXiv:2404.18400, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10546","last_updated":"2026-07-12T03:16:49Z","snapshot_observed_at":"2026-08-14T09:06:06.013139Z","submitted_at":"2026-07-12T03:16:49Z","title":"LLM-PDESR: Robust PDE Discovery via Subdomain Weighted Residuals and LLM-Guided Symbolic Hypothesis Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T10:56:35.866730Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2607.10546"},"observation_digest":"sha256:7dfd5ccb49313ef7a894994401e60ad949e01aba84b7f625c9e98abf2c110ee7","observation_id":"fddc491b-86a2-4c26-8bb5-809fff1ce8a2","resolution":{"observed_at":"2026-07-14T10:56:35.866730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-01T17:44:54.015963Z","title":"LLM-SR : Scientific equation discovery via programming with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17540","last_updated":"2026-07-20T04:33:35Z","snapshot_observed_at":"2026-08-14T17:50:32.058000Z","submitted_at":"2026-07-20T04:33:35Z","title":"Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-01T17:44:54.015963Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2607.17540"},"observation_digest":"sha256:1984fab377e390c0f4a8cf3338a9deb8ecbef83e7924ddf2bd437b23ee2c2bf7","observation_id":"8d856ad3-9e37-4c43-ba48-b9adb3505fa2","resolution":{"observed_at":"2026-08-01T17:44:54.015963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-01T03:05:32.211246Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25236","last_updated":"2026-07-28T03:23:47Z","snapshot_observed_at":"2026-08-07T21:03:50.260810Z","submitted_at":"2026-07-28T03:23:47Z","title":"VisualPatchWorld: Code World Models as Latent Structured Representations for Planning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T03:05:32.211246Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2607.25236"},"observation_digest":"sha256:bf70b5d1515366426628c1fe59e522ceaeb8bfaab719d997df377b6c2dac708c","observation_id":"81aaca81-9bf1-40c2-9a51-21cbb840c85f","resolution":{"observed_at":"2026-08-01T03:05:32.211246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-03T00:47:38.365748Z","title":", title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28684","last_updated":"2026-07-30T02:36:26Z","snapshot_observed_at":"2026-08-13T06:00:17.356369Z","submitted_at":"2026-07-30T02:36:26Z","title":"Library Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic Discovery","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-03T00:47:38.365748Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2607.28684"},"observation_digest":"sha256:83749e2dd79f24489e82e11ba6838f09611110f64b01c20aed13b9f0c5e34f1d","observation_id":"d5ebe877-c2ef-4d15-b759-c14fc2501fa1","resolution":{"observed_at":"2026-08-03T00:47:38.365748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-03T04:39:28.610643Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.29561","last_updated":"2026-07-31T15:52:07Z","snapshot_observed_at":"2026-08-09T15:06:04.729955Z","submitted_at":"2026-07-31T15:52:07Z","title":"MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-03T04:39:28.610643Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2607.29561"},"observation_digest":"sha256:99931fed5e55e96033d7f5c03a8b8daef1fe701497d961ada236d7442f4de797","observation_id":"46508c38-38f2-43c0-82fb-af4afa6042ab","resolution":{"observed_at":"2026-08-03T04:39:28.610643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-06T00:42:38.767176Z","title":"Llm- sr: Scientific equation discovery via programming with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00934","last_updated":"2026-08-02T02:19:55Z","snapshot_observed_at":"2026-08-06T23:25:13.079313Z","submitted_at":"2026-08-02T02:19:55Z","title":"Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T00:42:38.767176Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2608.00934"},"observation_digest":"sha256:36d1e7fc919ae34489d5938937945f2f7feb7c568ce0aeef78e84d2106d988a9","observation_id":"df3567cb-f428-4019-85d4-3ca8dc236029","resolution":{"observed_at":"2026-08-06T00:42:38.767176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","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":"2026-08-05T16:18:49.194922Z","title":"Llm-sr: Scientific equation discovery via programming with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03600","last_updated":"2026-08-04T12:51:32Z","snapshot_observed_at":"2026-08-10T00:14:58.749521Z","submitted_at":"2026-08-04T12:51:32Z","title":"Large language models for partial differential equation workflows","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T16:18:49.194922Z"},"links":{"cited_paper":"/paper/2404.18400","citing_paper":"/paper/2608.03600"},"observation_digest":"sha256:49554c6502ed42221d602533154a56acccd372bd42cb9f82a79599a9c8317819","observation_id":"e4012e50-6705-4548-b592-a4fad9b928bb","resolution":{"observed_at":"2026-08-05T16:18:49.194922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.18400/citation-record","integrity":"/paper/2404.18400/integrity","json":"/paper/2404.18400/citation-record.json","paper":"/paper/2404.18400"},"outbound":[],"paper":{"arxiv_id":"2404.18400","last_updated":"2025-03-20T16:37:17Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T00:19:49.230909Z","submitted_at":"2024-04-29T03:30:06Z","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 54 inbound Pith citation observations for arXiv:2404.18400."}