{"as_of":"2026-08-17T12:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5116abc441dbc51843582bff040c2d54f2cc69577e12e78d7a8290a601c27345","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:10:59.086248Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T11:46:33.957076Z","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":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"cited_work":{"arxiv_id":"2506.00009","doi":"10.48550/arxiv.2506.00009","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.00009","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Jiang, M","venue":"ArXiv.org","work_id":"15c6a24d-0c5b-4dc8-a102-f0d4ccc0a461","year":2025},"citing_paper":{"arxiv_id":"2604.02346","last_updated":"2026-02-11T19:16:33Z","snapshot_observed_at":"2026-08-12T07:00:00.056815Z","submitted_at":"2026-02-11T19:16:33Z","title":"DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-16T02:17:47.015442Z"},"links":{"cited_paper":"/paper/2506.00009","citing_paper":"/paper/2604.02346"},"observation_digest":"sha256:e196609cff345b95292bb4da37c256f74c744e72a95954344a3e4d12698e30f4","observation_id":"60d4bec2-b146-4a2f-991a-1be987d2ae34","resolution":{"observed_at":"2026-05-16T02:20:30.317080Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"cited_work":{"arxiv_id":"2506.00009","doi":"10.48550/arxiv.2506.00009","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.00009","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Jiang, M","venue":"ArXiv.org","work_id":"15c6a24d-0c5b-4dc8-a102-f0d4ccc0a461","year":2025},"citing_paper":{"arxiv_id":"2604.27351","last_updated":"2026-04-30T03:02:27Z","snapshot_observed_at":"2026-08-15T05:56:45.851308Z","submitted_at":"2026-04-30T03:02:27Z","title":"Heterogeneous Scientific Foundation Model Collaboration","version":1},"reference_index":138,"source":"pdf_text","source_observed_at":"2026-05-07T08:50:05.980191Z"},"links":{"cited_paper":"/paper/2506.00009","citing_paper":"/paper/2604.27351"},"observation_digest":"sha256:683a505d15f0bbc9927d22a622bb6cfa4e024df65101384b3f66946e152a82c4","observation_id":"bfa7a461-eb07-4bfb-b7d8-cef97c0aef63","resolution":{"observed_at":"2026-05-09T04:30:10.018166Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"cited_work":{"arxiv_id":"2506.00009","doi":"10.48550/arxiv.2506.00009","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.00009","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Jiang, M","venue":"ArXiv.org","work_id":"15c6a24d-0c5b-4dc8-a102-f0d4ccc0a461","year":2025},"citing_paper":{"arxiv_id":"2606.22138","last_updated":"2026-06-20T16:38:59Z","snapshot_observed_at":"2026-08-14T01:59:49.371464Z","submitted_at":"2026-06-20T16:38:59Z","title":"BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language","version":1},"reference_index":154,"source":"pdf_text","source_observed_at":"2026-06-26T11:46:33.957076Z"},"links":{"cited_paper":"/paper/2506.00009","citing_paper":"/paper/2606.22138"},"observation_digest":"sha256:ee122fdeb45e2a2abbdb51f92b8451f880cd4306fda24c2539906927987f2870","observation_id":"542b494a-fd52-4c85-9cb4-5d121a0d0925","resolution":{"observed_at":"2026-07-04T08:19:44.838517Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.00009/citation-record","integrity":"/paper/2506.00009/integrity","json":"/paper/2506.00009/citation-record.json","paper":"/paper/2506.00009"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-15T21:10:58.939534Z","title":"Achiam, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.939534Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:befedb6d86ed9c1cfbc82fabf8a3e42699c8f727f627f321e800a757f89caf20","observation_id":"169d2609-077f-42c8-b364-a19d820dbab1","resolution":{"observed_at":"2026-08-15T21:10:58.939534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.571736Z","title":null,"venue":null,"work_id":"c1c52307-a84a-4d8a-941f-f322dddc1bbe","year":2018},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.946693Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:fed13426a010991d9f839c84fada1400f3e3a4b7e1f0e2faef392420f23b3bf8","observation_id":"29d9c851-adef-4b24-89f9-40cdef2c4e7f","resolution":{"observed_at":"2026-08-15T21:10:59.577698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.554846Z","title":"Degtyarenko, P","venue":null,"work_id":"d2c29b70-f3f3-475a-bea9-71e0c016450c","year":2007},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.952646Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:7467cc31931d9d4745d87c234471af974314579909529f7f4270b76ca7aa34bc","observation_id":"c91d56b5-8101-4c14-8df7-12df00ed4498","resolution":{"observed_at":"2026-08-15T21:10:59.559887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.11817","last_updated":"2022-11-03T23:24:33Z","snapshot_observed_at":"2026-08-16T17:04:43.405584Z","submitted_at":"2022-04-25T17:48:09Z","title":"Translation between Molecules and Natural Language","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.11817","snapshot_observed_at":"2026-08-15T21:10:58.958881Z","title":"Edwards, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.958881Z"},"links":{"cited_paper":"/paper/2204.11817","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:5694b146c15972dbdd005f36aa31dbd708b8ef42ad8143aa6d3a31a9f57e24ab","observation_id":"94a71882-9a2e-4d20-935a-cb2289a82258","resolution":{"observed_at":"2026-08-15T21:10:58.958881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.537263Z","title":"Edwards, C","venue":null,"work_id":"710481dd-1246-4b44-a6e7-7369b479b92f","year":2021},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.964914Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:2d72ee39a3689205fd8fec9cf0e99b0300cd252b8f9c4d2a97a37b1c0d5a1894","observation_id":"7286b8c7-d01b-43a5-8f89-5852b328a5d5","resolution":{"observed_at":"2026-08-15T21:10:59.543207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.519301Z","title":"Ertl and A","venue":null,"work_id":"e7b5a57c-52b9-4449-9e20-11528fb200ec","year":2009},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.970546Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:7981fa2672b6ae26451a6506d4be41d6db7e46d866ef4d1fce37f805dcf670b3","observation_id":"2219c46a-0fab-4613-8d00-4029efca0e2f","resolution":{"observed_at":"2026-08-15T21:10:59.525226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08018","last_updated":"2024-03-04T12:49:31Z","snapshot_observed_at":"2026-08-16T15:24:15.973686Z","submitted_at":"2023-06-13T14:35:34Z","title":"Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.08018","snapshot_observed_at":"2026-08-15T21:10:58.977200Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.977200Z"},"links":{"cited_paper":"/paper/2306.08018","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:1278d8e481a4f693f910c1daf8866bdf0569144e60cde3e0367e37b2e034582f","observation_id":"b204f214-9533-447e-bbe6-bec9fc9fc7ec","resolution":{"observed_at":"2026-08-15T21:10:58.977200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00687","last_updated":"2021-02-25T02:06:27Z","snapshot_observed_at":"2026-08-16T13:28:09.232356Z","submitted_at":"2020-05-02T03:09:50Z","title":"Open Graph Benchmark: Datasets for Machine Learning on Graphs","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00687","snapshot_observed_at":"2026-08-15T21:10:58.983096Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.983096Z"},"links":{"cited_paper":"/paper/2005.00687","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:aa52f210ecb017d93951e9eb4ecb16332b8713a71387f5ddd5df7278b90005e6","observation_id":"6d9d9eb2-86c2-45d4-8794-ace4e1fc0e07","resolution":{"observed_at":"2026-08-15T21:10:58.983096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.12265","last_updated":"2020-02-18T19:49:48Z","snapshot_observed_at":"2026-08-15T23:39:52.468529Z","submitted_at":"2019-05-29T08:11:52Z","title":"Strategies for Pre-training Graph Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.12265","snapshot_observed_at":"2026-08-15T21:10:58.988522Z","title":null,"venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.988522Z"},"links":{"cited_paper":"/paper/1905.12265","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:1d09d9cec49408a054b4fee14016419945b01dafea252362520bfeba11ff5b0c","observation_id":"04817de4-def4-4631-b150-23ba79f96e27","resolution":{"observed_at":"2026-08-15T21:10:58.988522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.502039Z","title":null,"venue":null,"work_id":"7427be8b-16b0-49ef-a20e-aa113563e281","year":2021},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.993783Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:a31fdae22f1e796e4774ba710be09653fa9df8656c29041eadb0ff4e37c0fda4","observation_id":"afeebe5d-5522-43b2-9900-f70a20edfd32","resolution":{"observed_at":"2026-08-15T21:10:59.507867Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.485098Z","title":null,"venue":null,"work_id":"9f3b1784-b09c-4ae1-a969-95b07a0ecf9a","year":2023},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:58.998656Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:a8ec26b03083d8f6c2abc4b23a27095851785e8aae9340b58a84cd19da2bcf7d","observation_id":"c60308d6-b6af-4803-9360-22e645cbb20d","resolution":{"observed_at":"2026-08-15T21:10:59.490112Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.468193Z","title":null,"venue":null,"work_id":"b7e4fdec-f749-4630-adcc-71a4bbcf8a73","year":2024},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.003803Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:dbf5bf48c998f7b87ddd2c37e82838c2acd693c032612bfa30c112a95e92b44a","observation_id":"be6dbfdc-ddd0-40ea-b3e0-5e5d7ad1643e","resolution":{"observed_at":"2026-08-15T21:10:59.473359Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04223","last_updated":"2024-10-05T16:35:32Z","snapshot_observed_at":"2026-08-16T13:12:18.086401Z","submitted_at":"2024-10-05T16:35:32Z","title":"Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04223","snapshot_observed_at":"2026-08-15T21:10:59.008579Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.008579Z"},"links":{"cited_paper":"/paper/2410.04223","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:38f23829c61ffe77686a07443d03cff2d578ab57c60080d0eabb5f02cc661da4","observation_id":"7988b1a1-b0bb-4828-9d28-cad1c48a6fc2","resolution":{"observed_at":"2026-08-15T21:10:59.008579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13858","last_updated":"2024-10-03T16:29:02Z","snapshot_observed_at":"2026-08-16T14:24:43.038410Z","submitted_at":"2024-01-24T23:45:31Z","title":"Graph Diffusion Transformers for Multi-Conditional Molecular Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13858","snapshot_observed_at":"2026-08-15T21:10:59.014301Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.014301Z"},"links":{"cited_paper":"/paper/2401.13858","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:6b2bcf515fb57cb3ff0c5baa8a05962e6ad7a54053e623a3e7813280c406d4b8","observation_id":"30b84df7-36ba-4d1b-ae87-d8d44c02451e","resolution":{"observed_at":"2026-08-15T21:10:59.014301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.452318Z","title":null,"venue":null,"work_id":"fb908376-f5ee-4563-ab5a-fe427f6f2353","year":2023},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.019743Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:00293e3850dc1786465c911a75021d0171e859c184f847497d3840d9f69ba8c3","observation_id":"85a45259-4d0c-4bec-a6b4-6e04242000a1","resolution":{"observed_at":"2026-08-15T21:10:59.457327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.433060Z","title":null,"venue":null,"work_id":"d23f99fa-9dce-4948-8d66-843b0ddcd506","year":2023},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.025736Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:207eb7e3d4c27309c1a19469ac8b5997a2fc9802f4fbc146ed5b96d0c7065956","observation_id":"463384c5-0294-41c5-9255-25205bea942c","resolution":{"observed_at":"2026-08-15T21:10:59.438993Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.414793Z","title":null,"venue":null,"work_id":"ce02dcc1-76f2-405e-9e44-e3779485dbdc","year":1976},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.031712Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:19a33267d1efd7c691051e3dc67b96c9ee007248212e45867d17808b42dbc05e","observation_id":"20ba6618-a25c-44a9-bef3-3075d4378ddc","resolution":{"observed_at":"2026-08-15T21:10:59.419784Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.395799Z","title":"Radford, J","venue":null,"work_id":"087e29f4-0acd-4915-9825-634c3d0da44f","year":2021},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.037214Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:d9fcbc9360c859437aef61507e0bda91727f8c67e29ab19d9bdbc206b520e9d8","observation_id":"85524007-67a9-4ce3-9a3b-cbceaaa3cd6c","resolution":{"observed_at":"2026-08-15T21:10:59.401997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.377404Z","title":"Rdkit cookbook, 2024","venue":null,"work_id":"2d8a814c-24fc-493d-86c0-e6a5df1acca4","year":2024},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.042700Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:e8f6a02a6ee2e1c7352da4e53b14ae64b3291aeb9249901ecd6f8aa7c917bf9b","observation_id":"cba58db5-e90d-4b66-a9d4-5a1b6dc2142f","resolution":{"observed_at":"2026-08-15T21:10:59.383220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.359167Z","title":"Schneuing, C","venue":null,"work_id":"c172e1c0-e2cf-4090-adf2-ace1cf27ce3b","year":2024},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.048041Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:0dc1f9b5791b9497671d15d322da62e3e747e8286a6337fcb4ffb52d116f125e","observation_id":"bacfb13b-c012-4383-998f-4220122a89c1","resolution":{"observed_at":"2026-08-15T21:10:59.364899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.341322Z","title":"Taori, I","venue":null,"work_id":"9fcaf018-21e1-4cb1-8d16-d7efd629d64e","year":2023},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.053957Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:7240886aaa859a223806dd97cff4b346b46ea615583270cc2af8b2c199772062","observation_id":"25d37392-eb2e-402a-9a2c-ee9e8ca2d4a2","resolution":{"observed_at":"2026-08-15T21:10:59.346341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.10560","last_updated":"2023-05-25T23:50:07Z","snapshot_observed_at":"2026-08-17T06:16:40.579073Z","submitted_at":"2022-12-20T18:59:19Z","title":"Self-Instruct: Aligning Language Models with Self-Generated Instructions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.10560","snapshot_observed_at":"2026-08-15T21:10:59.059000Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.059000Z"},"links":{"cited_paper":"/paper/2212.10560","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:de8a234375e5005a770585c1514fd3f409ead6c5325eaf56c19afbe9670d7f54","observation_id":"a01005e7-9b4c-4a2b-a95a-28a0f629cf15","resolution":{"observed_at":"2026-08-15T21:10:59.059000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13663","last_updated":"2024-12-19T06:32:26Z","snapshot_observed_at":"2026-08-16T17:36:35.256420Z","submitted_at":"2024-12-18T09:39:44Z","title":"Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13663","snapshot_observed_at":"2026-08-15T21:10:59.065098Z","title":"Warner, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.065098Z"},"links":{"cited_paper":"/paper/2412.13663","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:0f0ab6299fe03b615e9be884d762e6682219c40583e0a6495d089d29a1e0601f","observation_id":"a75c17a5-a7ad-46e8-be9d-2ad2ebede8eb","resolution":{"observed_at":"2026-08-15T21:10:59.065098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.070451Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.070451Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:893d62ad984d591d170dee6fcf940022d7193c94c4dcc424e26d12c6388d0976","observation_id":"b8df7ff7-b642-4dcb-b02c-c6b54f3e0a40","resolution":{"observed_at":"2026-08-15T21:10:59.070451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.00826","last_updated":"2019-02-22T19:15:54Z","snapshot_observed_at":"2026-08-13T05:06:48.606308Z","submitted_at":"2018-10-01T17:11:31Z","title":"How Powerful are Graph Neural Networks?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.00826","snapshot_observed_at":"2026-08-15T21:10:59.075864Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.075864Z"},"links":{"cited_paper":"/paper/1810.00826","citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:831c0dd8607ec5521e27c33a3b78f71ad0ede40e402911fbfdf03ddca782951e","observation_id":"44b0baeb-f036-4804-b986-1c30a0c7367e","resolution":{"observed_at":"2026-08-15T21:10:59.075864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.313091Z","title":"Zdrazil, E","venue":null,"work_id":"08f07772-3ae9-4574-b2aa-e8ccf4796aba","year":2023},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.081186Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:ddcc2ba8a7f00af0e547c683d5b33f34d84017319f2e59fd46557cc908318ee8","observation_id":"a79e1ec9-1579-45bc-8916-17cdd8950df2","resolution":{"observed_at":"2026-08-15T21:10:59.318299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:10:59.294983Z","title":"not active","venue":null,"work_id":"b13d6b13-3035-413b-b996-0791c7d353f1","year":2022},"citing_paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:10:59.086248Z"},"links":{"citing_paper":"/paper/2506.00009"},"observation_digest":"sha256:d6c5ae92992d52749a1bf28eb71847e04cee5ef4c6cb11c587633b016968de1d","observation_id":"c1bd639e-5322-4ed0-8ec1-07cfac85c5b7","resolution":{"observed_at":"2026-08-15T21:10:59.301210Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.00009","last_updated":"2025-05-15T19:50:11Z","latest_version":1,"primary_category":"q-bio.BM","snapshot_observed_at":"2026-08-17T12:19:48.852636Z","submitted_at":"2025-05-15T19:50:11Z","title":"MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":27},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2506.00009."}