{"as_of":"2026-08-09T20:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b63b47af7ba927b2380c070e8a591f39415e458b7de454e81f002bc35b89930","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":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":26,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:27:37.612240Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T09:49:44.745385Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-06T23:20:20.226846Z","title":"& Ramsundar, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-06T23:13:34.353922Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.226846Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:d66beb2d33c81ec781339d94b9283a77652eb7aee366325121046b53f43aefbe","observation_id":"7f89c938-8373-4467-a5a5-164aa30c0864","resolution":{"observed_at":"2026-08-06T23:20:20.226846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-06T19:31:06.259481Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07060","last_updated":"2025-08-19T18:39:25Z","snapshot_observed_at":"2026-08-08T06:02:32.693953Z","submitted_at":"2025-07-07T19:41:39Z","title":"DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:06.259481Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2507.07060"},"observation_digest":"sha256:054a4dcb47af69f04654d88122f9cce98c6f282fec083057b4813d19d349d1f2","observation_id":"c72b6e0a-b85d-4366-8db6-83fb7460264b","resolution":{"observed_at":"2026-08-06T19:31:06.259481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-06T18:35:34.005824Z","title":"& Ramsundar, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07862","last_updated":"2025-07-10T15:42:31Z","snapshot_observed_at":"2026-08-06T18:28:25.438424Z","submitted_at":"2025-07-10T15:42:31Z","title":"Predicting and generating antibiotics against future pathogens with ApexOracle","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:35:34.005824Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2507.07862"},"observation_digest":"sha256:789fed21b8f2ef3bddedd3c5fc5eec1faf50a5524e9b05b508f12cf0c7352b1f","observation_id":"08f9e5f0-6499-432f-8696-0f7bc5fe12fe","resolution":{"observed_at":"2026-08-06T18:35:34.005824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-06T11:09:49.264221Z","title":"arXiv preprint arXiv:2209.01712 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.23077","last_updated":"2025-07-30T20:23:36Z","snapshot_observed_at":"2026-08-08T09:54:57.315721Z","submitted_at":"2025-07-30T20:23:36Z","title":"A Foundation Model for Material Fracture Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T11:09:49.264221Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2507.23077"},"observation_digest":"sha256:85672368082be89ca361a6400aafe7c93d2dd8d46fb503efa2c013c32a380608","observation_id":"1be64774-e5fb-435e-86ce-d0ad41f86d23","resolution":{"observed_at":"2026-08-06T11:09:49.264221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-05T23:24:23.788619Z","title":"Chemberta-2: Towards chemical foundation mod- els,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.05427","last_updated":"2025-08-07T14:17:23Z","snapshot_observed_at":"2026-08-09T20:00:33.608939Z","submitted_at":"2025-08-07T14:17:23Z","title":"Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T23:24:23.788619Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2508.05427"},"observation_digest":"sha256:aa8da77bf91eb4f24c840f4a9b6ecdb854aee2b470feb7bb33a270558d79f09f","observation_id":"9313b98b-3299-4ffe-99be-7907c61dcbcb","resolution":{"observed_at":"2026-08-05T23:24:23.788619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2509.06484","last_updated":"2026-02-20T12:33:09Z","snapshot_observed_at":"2026-08-01T23:02:30.256765Z","submitted_at":"2025-09-08T09:47:03Z","title":"Thermodynamically consistent machine learning model for excess Gibbs energy","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-18T18:37:51.200663Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2509.06484"},"observation_digest":"sha256:91b54547ee109120dc838e6cee84b0d02be146c295aa7ce16a8bdc16812adcdf","observation_id":"f7b8f989-c8cb-40eb-88de-ae98e5b12fe6","resolution":{"observed_at":"2026-05-18T18:41:44.734459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-04T11:23:48.737745Z","title":"Chemberta-2: Towards chemical foundation models.arXiv preprint arXiv:2209.01712,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.05363","last_updated":"2026-06-04T21:50:20Z","snapshot_observed_at":"2026-08-09T19:32:10.683823Z","submitted_at":"2025-10-06T20:41:43Z","title":"MHA-RAG: Improving Efficiency, Accuracy, and Consistency by Encoding Exemplars as Soft Prompts","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T11:23:48.737745Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2510.05363"},"observation_digest":"sha256:b2c119803e50cd43eb9d61d3840f80f1f678dec2ad0799146454dfe0427ef0ee","observation_id":"b9b315c4-46a2-4608-95db-dc32937b4214","resolution":{"observed_at":"2026-08-04T11:23:48.737745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2510.07731","last_updated":"2026-05-01T19:14:53Z","snapshot_observed_at":"2026-08-02T07:46:58.772134Z","submitted_at":"2025-10-09T03:13:31Z","title":"oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T09:43:24.272120Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2510.07731"},"observation_digest":"sha256:dc3b4548ce1ba6d2f68d62d168c1f4f7f5eeae4f62f6a1caaeecf6954885c55b","observation_id":"4ca02074-b492-4a8a-b194-d9879d4ae7f9","resolution":{"observed_at":"2026-05-18T09:46:12.574802Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2510.18900","last_updated":"2026-05-01T16:43:26Z","snapshot_observed_at":"2026-07-30T11:11:40.179521Z","submitted_at":"2025-10-20T17:56:01Z","title":"Foundation Models for Discovery and Exploration in Chemical Space","version":2},"reference_index":144,"source":"pdf_text","source_observed_at":"2026-05-18T05:52:10.848118Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2510.18900"},"observation_digest":"sha256:f78312510c4e9b255a8b3ddcf984a8c9542528d37011e2900a3bbad000ba99a8","observation_id":"2102a122-471e-4bcf-8c73-ff2131b7b2cf","resolution":{"observed_at":"2026-05-18T05:52:24.965894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-04T07:36:34.743066Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.25824","last_updated":"2026-07-27T20:50:55Z","snapshot_observed_at":"2026-08-07T12:03:29.706461Z","submitted_at":"2025-10-29T18:00:00Z","title":"The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-04T07:36:34.743066Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2510.25824"},"observation_digest":"sha256:7d1922221e9a04f7f927abddcfe45e6ae719972978f7958623e4fd8d35a90252","observation_id":"aebeb27c-7c00-4a9e-b624-2e5f22277b6f","resolution":{"observed_at":"2026-08-04T07:36:34.743066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2512.08683","last_updated":"2025-12-09T15:06:01Z","snapshot_observed_at":"2026-08-02T00:16:40.516556Z","submitted_at":"2025-12-09T15:06:01Z","title":"Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-21T18:30:34.701232Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2512.08683"},"observation_digest":"sha256:47571eb9c1ea97f6f30b9b4eca9bb560b16d0411676cac2a0ae43de77365f408","observation_id":"35202730-720f-4e91-86fb-7699ca87525b","resolution":{"observed_at":"2026-05-21T18:34:17.981696Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-03T05:22:10.522036Z","title":"Chemberta-2: Towards chemical foundation models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02788","last_updated":"2026-06-08T20:08:07Z","snapshot_observed_at":"2026-08-03T05:22:09.531006Z","submitted_at":"2026-02-02T20:45:07Z","title":"Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T05:22:10.522036Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2602.02788"},"observation_digest":"sha256:d34154f93761a006b5a5f49c2153b7b5c11cc05f5a308196653725bdd6828ef0","observation_id":"f5a8756e-dccf-4ea1-86d9-8317e2c1db5f","resolution":{"observed_at":"2026-08-03T05:22:10.522036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-02T19:54:21.088726Z","title":"Ahmad, E","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.00857","last_updated":"2026-05-24T23:20:38Z","snapshot_observed_at":"2026-08-09T08:31:20.824993Z","submitted_at":"2026-03-01T01:18:42Z","title":"MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T19:54:21.088726Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2603.00857"},"observation_digest":"sha256:0dae11ce8512ef563cc31ebfda6422f06cccaa7b5e511edbe02c64af6efe5cb5","observation_id":"9bc14c8e-01e1-40f6-9387-dcad5bfb0950","resolution":{"observed_at":"2026-08-02T19:54:21.088726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2604.05622","last_updated":"2026-04-07T09:22:52Z","snapshot_observed_at":"2026-07-06T22:54:16.913706Z","submitted_at":"2026-04-07T09:22:52Z","title":"CVT Archives and Chemical Embedding Measures for Multi-Objective Quality Diversity in Molecular Design","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T19:14:55.704956Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2604.05622"},"observation_digest":"sha256:62c3de9854ccb1fe52fafbd2722844574c075fd236dfe3f6aaff46a68b7a1bce","observation_id":"c1004ea1-c08f-44a0-9804-c330bc031cba","resolution":{"observed_at":"2026-05-10T23:15:50.467015Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2604.16586","last_updated":"2026-04-17T15:16:33Z","snapshot_observed_at":"2026-07-06T23:03:52.631613Z","submitted_at":"2026-04-17T15:16:33Z","title":"A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T08:40:51.408244Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2604.16586"},"observation_digest":"sha256:504af6abc1163afa10b3e52ddd71c495b44970e992f97b1c23b40bdd1139873a","observation_id":"9c715081-ebd3-4134-90a3-4b03bf2897f3","resolution":{"observed_at":"2026-05-10T08:43:01.460387Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2604.26498","last_updated":"2026-06-08T10:23:05Z","snapshot_observed_at":"2026-07-06T23:12:10.599132Z","submitted_at":"2026-04-29T10:01:16Z","title":"Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-07T11:35:23.098352Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2604.26498"},"observation_digest":"sha256:f00385da07a4c3d0204ffc03ec272a86bf681ffc332e331f26678aa3e66760db","observation_id":"0122a0d4-3632-4a4d-8a7e-444590592c7d","resolution":{"observed_at":"2026-05-12T09:16:27.737196Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2604.26498","last_updated":"2026-06-08T10:23:05Z","snapshot_observed_at":"2026-07-06T23:12:10.599132Z","submitted_at":"2026-04-29T10:01:16Z","title":"Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T17:40:58.462462Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2604.26498"},"observation_digest":"sha256:a5cf9f61d729a3d692bc5ad90c93ccf9915e409be25ea6679f97eee9a945777c","observation_id":"1a4cb876-2f94-4209-be74-7c78f6c27e2e","resolution":{"observed_at":"2026-05-19T17:42:42.030611Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2605.02745","last_updated":"2026-05-04T15:46:39Z","snapshot_observed_at":"2026-08-08T15:29:13.975084Z","submitted_at":"2026-05-04T15:46:39Z","title":"Bolek: A Multimodal Language Model for Molecular Reasoning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-09T15:43:50.975370Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2605.02745"},"observation_digest":"sha256:6b3253781f9a93f998a9a6a067dffe53b7b0978488dcb5ba038c222d6d3c187f","observation_id":"472a3698-e2d0-41df-9a03-da14380620ce","resolution":{"observed_at":"2026-05-11T16:36:10.051375Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2605.13262","last_updated":"2026-05-13T09:43:55Z","snapshot_observed_at":"2026-07-06T23:24:52.373554Z","submitted_at":"2026-05-13T09:43:55Z","title":"Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-14T19:55:19.362468Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2605.13262"},"observation_digest":"sha256:30155e3351d1e76f6e70ff26c8a9279a39e2cf54422b16f5328401c1658ad060","observation_id":"1d15f216-6ea7-4bed-ba79-637fe6be94ad","resolution":{"observed_at":"2026-05-14T19:57:53.730105Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2605.19752","last_updated":"2026-05-19T12:19:35Z","snapshot_observed_at":"2026-08-08T15:37:18.089043Z","submitted_at":"2026-05-19T12:19:35Z","title":"MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-20T07:47:34.045926Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2605.19752"},"observation_digest":"sha256:bdf9db36baea97e8f9cfd746680ea221c1f33ce77ce399f0c1b7e38cf4fa996d","observation_id":"48aa5b3b-ea3e-4e9f-9615-5157b03ae0dc","resolution":{"observed_at":"2026-05-20T07:48:07.423446Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2605.22287","last_updated":"2026-05-21T10:37:53Z","snapshot_observed_at":"2026-08-09T13:14:17.857293Z","submitted_at":"2026-05-21T10:37:53Z","title":"SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-22T05:27:01.285624Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2605.22287"},"observation_digest":"sha256:355024b656518d3f8522516404c4b837579c818d1af8db25a3ba9f7bd9d401aa","observation_id":"ac3a9c4d-eaa0-4672-b327-bbb44c4fb73a","resolution":{"observed_at":"2026-05-22T05:31:07.765507Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-12T19:08:32.566892Z","title":"Chemberta-2: towards chemical foundation models.arXiv preprint arXiv:2209.01712,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.28839","last_updated":"2026-04-18T16:18:08Z","snapshot_observed_at":"2026-08-06T21:01:28.976432Z","submitted_at":"2026-04-18T16:18:08Z","title":"One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T19:08:32.566892Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2605.28839"},"observation_digest":"sha256:04d10a42eb1245f265b9d14dc76986b4dbb01940f77b5c8cae9b4cd370ce0136","observation_id":"18572fef-412c-45da-b9e9-656ea5490d05","resolution":{"observed_at":"2026-07-12T19:08:32.566892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2605.28843","last_updated":"2026-05-10T16:17:41Z","snapshot_observed_at":"2026-08-06T19:24:49.551955Z","submitted_at":"2026-05-10T16:17:41Z","title":"The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T22:40:18.126870Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2605.28843"},"observation_digest":"sha256:0d93f5d0677d8f7c13f192270e9c9667b763ec35fa6f92a3215e22bd4ef938e9","observation_id":"77051319-ad9e-4e45-b1c9-aa32669bf7a1","resolution":{"observed_at":"2026-07-01T13:45:46.499320Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2606.12639","last_updated":"2026-06-10T20:03:08Z","snapshot_observed_at":"2026-08-06T11:45:15.376066Z","submitted_at":"2026-06-10T20:03:08Z","title":"The Metric Picks the Winner: Evaluation Choice Flips Model Rankings for Drug-Response Prediction in Unseen Chemistry","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T10:25:58.392710Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2606.12639"},"observation_digest":"sha256:8920b509a61ab43f1c459d75eda4b9df91644b3dcf729f809506448dab31d813","observation_id":"c97e9aa0-c335-41c7-bc1a-5a15ccde1653","resolution":{"observed_at":"2026-07-03T09:17:48.698863Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":"2209.01712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-07-04T09:49:44.745385Z","title":"ChemBERTa- 2: Towards chemical foundation models","venue":null,"work_id":"c55c4d8e-9d15-4d99-a0ec-17e7190ad960","year":2022},"citing_paper":{"arxiv_id":"2606.23443","last_updated":"2026-06-22T14:59:57Z","snapshot_observed_at":"2026-07-06T23:58:11.694332Z","submitted_at":"2026-06-22T14:59:57Z","title":"What Does a Chemical Language Model Know About Molecules?","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T09:24:26.473081Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2606.23443"},"observation_digest":"sha256:a0ab710952e7804d37f85c84af22cf34bc0447e80aa77f3ec86ed0cb85932e52","observation_id":"dcadaf46-44d6-44d5-b205-2ab44ef9e6b5","resolution":{"observed_at":"2026-07-04T09:49:44.746691Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01712","snapshot_observed_at":"2026-08-07T11:27:37.612240Z","title":"& Ramsundar, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.06253","last_updated":"2026-08-06T16:42:34Z","snapshot_observed_at":"2026-08-09T20:13:58.173545Z","submitted_at":"2026-08-06T16:42:34Z","title":"MetaboLLM: a metabolomics-specialized large language model for biochemical knowledge integration and predictive metabolite graph construction","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T11:27:37.612240Z"},"links":{"cited_paper":"/paper/2209.01712","citing_paper":"/paper/2608.06253"},"observation_digest":"sha256:5ad71c0075b9362173059f2ead13612c4a2504de0ce255a7849a67ede2a78053","observation_id":"4b5d9181-8d56-44b7-b2d9-0c1b5977336e","resolution":{"observed_at":"2026-08-07T11:27:37.612240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2209.01712/citation-record","integrity":"/paper/2209.01712/integrity","json":"/paper/2209.01712/citation-record.json","paper":"/paper/2209.01712"},"outbound":[],"paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T13:48:46.364019Z","submitted_at":"2022-09-05T00:31:12Z","title":"ChemBERTa-2: Towards Chemical Foundation 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2209.01712."}