{"as_of":"2026-08-16T18:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4ffa11b47f6200d09c7310d1249ac17050ed7c3a61bca4a08afa1b30e42aad27","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:20:21.665076Z","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":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:43:24.036840Z","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":"2026-05-13T01:42:03.089750Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.18497","snapshot_observed_at":"2026-08-15T16:43:24.036840Z","title":"Y., Park, Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03547","last_updated":"2025-09-05T16:42:17Z","snapshot_observed_at":"2026-08-15T16:35:53.082923Z","submitted_at":"2025-09-02T16:45:02Z","title":"Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T16:43:24.036840Z"},"links":{"cited_paper":"/paper/2506.18497","citing_paper":"/paper/2509.03547"},"observation_digest":"sha256:7e4e2d51e2ac7afd8aa727a21ad835f192d2cdea75a356927d41470d25b2683c","observation_id":"e98500b3-44d7-4e67-8469-c0fc4240845a","resolution":{"observed_at":"2026-08-15T16:43:24.036840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"cited_work":{"arxiv_id":"2506.18497","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.18497","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c1283ab0-82b2-4679-9550-a9e4e2e7ce29","year":2025},"citing_paper":{"arxiv_id":"2605.11610","last_updated":"2026-05-12T06:42:00Z","snapshot_observed_at":"2026-08-15T05:07:45.402272Z","submitted_at":"2026-05-12T06:42:00Z","title":"Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-13T01:41:43.141782Z"},"links":{"cited_paper":"/paper/2506.18497","citing_paper":"/paper/2605.11610"},"observation_digest":"sha256:f862d6b86c36408506594d58b849144a13e1db8f476f884bb3dd6c83667e31fb","observation_id":"09b4108a-5285-4704-aa18-2c60d5d6dcaa","resolution":{"observed_at":"2026-05-13T01:42:03.092887Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.18497/citation-record","integrity":"/paper/2506.18497/integrity","json":"/paper/2506.18497/citation-record.json","paper":"/paper/2506.18497"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:29.085601Z","title":"& Sutskever, I","venue":null,"work_id":"9fc20a9b-0692-44dc-9dd1-3c090dc3c5c6","year":2018},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:17.613822Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:39023bf70f4dd1551882e88dd17b5d36d3ecacbd5824db89f67de77a3ff18cc2","observation_id":"557da626-d019-47ce-ab51-7071e6b81924","resolution":{"observed_at":"2026-08-06T23:20:29.184083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:28.896889Z","title":null,"venue":null,"work_id":"de84b063-5c92-4e59-a929-05904e25af6c","year":2019},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:17.679725Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:ffdf1b16db403b3495aa854a2fff5bf9b7108f74b692872bc412a7233363f64c","observation_id":"1f28d99e-80e7-41a4-8fca-9d52749901b9","resolution":{"observed_at":"2026-08-06T23:20:29.004643Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:28.801407Z","title":"& Zhang, T","venue":null,"work_id":"046b1be8-1d90-4adb-804f-da0c194793b0","year":2021},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:17.781009Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:c80d5d75be348d922422bbf39b6569231eb0d9b598c777c2c492bf279bff260c","observation_id":"1661fe6d-6f2e-4e65-87b2-caeaff16a563","resolution":{"observed_at":"2026-08-06T23:20:28.817583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T23:20:17.859117Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:17.859117Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:183f6393e69f9e81f8dd825f3df6e60d743510c2a70201d653785d2dfceef49b","observation_id":"1f80b2e1-4ad8-4182-82ca-92da40e4f79b","resolution":{"observed_at":"2026-08-06T23:20:17.859117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-06T23:20:17.947023Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:17.947023Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:f8a90bee04c9daf573e89decfde5037e666502f0b7bae67cfa40d1fa7dbc2dd8","observation_id":"1e36c2b8-bd6f-403f-a28c-a1a6884417b4","resolution":{"observed_at":"2026-08-06T23:20:17.947023Z","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":"2026-08-06T23:20:28.651173Z","title":"M., Schwaller, P., Ortega-Guerrero, A","venue":null,"work_id":"408fa5d0-e970-4d70-98ba-3973bbc9a70a","year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.022454Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:ba0d9d4d7ed8c7c355d2d9cc6614061d7d8f5495612fd7f36b73915f5ba5ad30","observation_id":"f3d8af20-13bc-443f-a336-784ee723474f","resolution":{"observed_at":"2026-08-06T23:20:28.700394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:28.526650Z","title":"URL https://www.nature.com/articles/s41586-023-06735-9","venue":null,"work_id":"37746cc3-b7b6-4138-ad35-c776e74a5c14","year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.104768Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:b7c03a55f9511d18fa5ff36686f077c4321b65fbd833a4e8f9b0b636f821d314","observation_id":"4a20633f-8e02-4800-8255-2bcd40d9fae0","resolution":{"observed_at":"2026-08-06T23:20:28.562999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:28.372483Z","title":"URL https://www.microsoft.com/en-us/research/publication/ mattersim-a-deep-learning-atomistic-model-across-elements-temperatures-and-pressures/","venue":null,"work_id":"40198f08-1407-4341-ba02-5394ba7c9b20","year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.177316Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:0d24256716f7bcd6cb6a84193561653076744438cb3b0b13d294d499c5167e5a","observation_id":"90adda7c-9227-4379-8c07-5daa1f1c5563","resolution":{"observed_at":"2026-08-06T23:20:28.450948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:28.225985Z","title":"Publisher: Nature Publishing Group UK London","venue":null,"work_id":"9eabed58-948d-44c3-b1f7-468dc978420e","year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.291210Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:a60b208402fe3d96ae8d8fc231953137754f6e8815ada761710b840a3b94001d","observation_id":"8286e19f-6867-45d8-a0cc-4017d9a7314b","resolution":{"observed_at":"2026-08-06T23:20:28.296002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12771","last_updated":"2026-05-20T00:46:02Z","snapshot_observed_at":"2026-08-15T03:47:51.196617Z","submitted_at":"2024-10-16T17:48:34Z","title":"Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12771","snapshot_observed_at":"2026-08-06T23:20:18.383456Z","title":"URL http://arxiv.org/abs/2410.12771","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.383456Z"},"links":{"cited_paper":"/paper/2410.12771","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:806a666ed4e44970435f7eb6a8bf7fe469146ffb3eef31381cf6b68dff393867","observation_id":"031ea1c5-b600-48ae-a78d-a8f49a1eae24","resolution":{"observed_at":"2026-08-06T23:20:18.383456Z","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":"2026-08-06T23:20:28.104991Z","title":"P., Simm, G., Ortner, C","venue":null,"work_id":"88834729-c879-4cef-aa38-6335a6837e04","year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.494760Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:0a5d1dd3a8e5ce7030c007b667b12b3925a66360c1e0700682ade5a5cee71ee1","observation_id":"34b2f412-df8f-4813-a981-1c74d8a966ca","resolution":{"observed_at":"2026-08-06T23:20:28.158584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:27.903600Z","title":"M., Das, A","venue":null,"work_id":"ff59d8eb-8b9f-45fa-9675-e4a5598ad2bf","year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.550116Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:4643450271af3b2db138c5e36d50c18ac6011a84f34aabe062e6d0ab9947ae23","observation_id":"790b478a-ad2d-4504-8476-937ff94446a2","resolution":{"observed_at":"2026-08-06T23:20:28.009275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22570","last_updated":"2024-10-29T22:20:14Z","snapshot_observed_at":"2026-08-16T13:04:45.678073Z","submitted_at":"2024-10-29T22:20:14Z","title":"Orb: A Fast, Scalable Neural Network Potential","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.22570","snapshot_observed_at":"2026-08-06T23:20:18.624345Z","title":"URL http://arxiv.org/abs/2410.22570","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.624345Z"},"links":{"cited_paper":"/paper/2410.22570","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:779bbeb457a3af4193ec1aee1358effa871ad729778c28d07151b49e9d99df48","observation_id":"9d7a81d7-90c6-4d11-994d-29f71b001c85","resolution":{"observed_at":"2026-08-06T23:20:18.624345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06231","last_updated":"2025-04-10T18:13:52Z","snapshot_observed_at":"2026-08-16T12:42:55.814907Z","submitted_at":"2025-04-08T17:27:34Z","title":"Orb-v3: atomistic simulation at scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06231","snapshot_observed_at":"2026-08-06T23:20:18.697143Z","title":"URL http://arxiv","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.697143Z"},"links":{"cited_paper":"/paper/2504.06231","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:03721b2b5506644670c88dcb4a90856a8218a45ff90ef6486f8cabde76cc7e37","observation_id":"eed2ded0-b415-48a5-b990-ae7778dbb180","resolution":{"observed_at":"2026-08-06T23:20:18.697143Z","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":"2026-08-06T23:20:27.702500Z","title":"& Mizukami, W","venue":null,"work_id":"ff6803ba-035c-41e4-a856-c1477f3db11b","year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.788159Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:30d33149b996bd8141e860bb690ac88cf5cade3d4fd20495524bacd374ed53fb","observation_id":"86ef6613-5380-46ff-a4d7-749f5fc7f1a6","resolution":{"observed_at":"2026-08-06T23:20:27.782078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:27.569795Z","title":"& Jain, A","venue":null,"work_id":"91b3ae78-ecda-433e-ba42-16e378854ef0","year":2020},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.858218Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:9e946c7d94830d61eb9454835d64840185351ea61bd61d59318b5b933ba1458e","observation_id":"e16bdb32-7afd-4e1c-a0e4-fa01c162f3fc","resolution":{"observed_at":"2026-08-06T23:20:27.628833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:27.450332Z","title":"URL https://www.nature.com/articles/s41524-024-01469-2","venue":null,"work_id":"c1af1a40-63af-47d2-b800-a8db58c18d28","year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.894300Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:75df9b504e08c8d0dc135c76d4d21ea26c29ee1955a28ef9f41721baf8b0ce0c","observation_id":"cd555301-0bff-46cb-b723-03c56de221c1","resolution":{"observed_at":"2026-08-06T23:20:27.500281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:27.281265Z","title":"& Friederich, P","venue":null,"work_id":"14641c01-6ae9-4f82-b7d8-3bdad3c37434","year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:18.941938Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:3b35717e7662951e765cecf4022ecd5bd4bd0efa9cfa792fc83be4630c31e509","observation_id":"10a16251-dc20-4fca-bcc1-e25c728f04d7","resolution":{"observed_at":"2026-08-06T23:20:27.363903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:27.117514Z","title":"C.et al.Data-driven electrolyte design for lithium metal anodes","venue":null,"work_id":"c291c0f5-d83c-4a79-9e45-2715fdc12b20","year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.014867Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:1cfb89876d8b1a18186edc9e05f84a83920d15dd71c5aa7a1f0239001699b207","observation_id":"1c497a70-cd35-4748-a237-4a55d15c24a7","resolution":{"observed_at":"2026-08-06T23:20:27.193421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:19.082960Z","title":"& Denny, R","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.082960Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:6db2218ed080754c4f87be9815d1ec2277ca14ace97e0ec9b50f31311e2918fc","observation_id":"3201ae01-5724-4986-a835-2a8b806d119b","resolution":{"observed_at":"2026-08-06T23:20:19.082960Z","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":"2026-08-06T23:20:26.983779Z","title":"F., Teixeira, A","venue":null,"work_id":"5f15d7a4-5506-4661-95ea-956a8ce27524","year":2012},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.149544Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:6c2e1f5594268b1e4106f375502a0e89fe4e05b7bc5a913ed22abc5a13cff45e","observation_id":"3e69db3d-262a-4a69-b6b7-fd3fbc78a525","resolution":{"observed_at":"2026-08-06T23:20:27.035667Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:26.796253Z","title":"M., Madhukar, N","venue":null,"work_id":"03af2cf2-bebe-4e2b-b358-56ece44d8835","year":2016},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.262530Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:940811ca6a1ded3b8adfbe2db254b159347aa66c72e5df381b9a649041c9c10e","observation_id":"b952af3f-bc33-4bc0-b544-93fe645a27e7","resolution":{"observed_at":"2026-08-06T23:20:26.882946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:26.664230Z","title":"URL https://pubs.rsc.org/en/content/articlelanding/ 2018/sc/c7sc02664a","venue":null,"work_id":"2fd3a02e-5abb-4d9e-b533-4088ced79a99","year":2018},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.346353Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:3ea8530b04aaa2e15c41cdaaad3c6df4fe7aee8f955e8080685ba6b2d19c7b69","observation_id":"6b2c0e10-c578-4b89-a53b-ff61576027e8","resolution":{"observed_at":"2026-08-06T23:20:26.722645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:26.535821Z","title":null,"venue":null,"work_id":"c02ac95f-68f4-4faa-9631-950b7e99a781","year":2018},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.392032Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:54f95d16c955fe0680f6fb10a5856cc81c072b4761a231982445939c589ded2b","observation_id":"a077783b-0904-4f3d-88ab-781259272bfb","resolution":{"observed_at":"2026-08-06T23:20:26.601669Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:26.415678Z","title":"Computational Materials Science152, 60–69 (2018)","venue":null,"work_id":"638324e2-553b-4b7d-b4e8-eecb40f7794c","year":2018},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.476234Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:982e5955968babe558b9ca60abf694563d23c90b33ff39df6a8945676cc47363","observation_id":"553e7d76-018d-47d2-9574-9468c3cf4fc0","resolution":{"observed_at":"2026-08-06T23:20:26.471220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:26.278226Z","title":"& Barati Farimani, A","venue":null,"work_id":"f06cc553-84c5-409d-abed-5717c79057ee","year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.533307Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:2e26a5533ba7ab020d17c8ed084e8c5d4663d4973b63ce4365636a75b852358b","observation_id":"7ea54e1b-f3fd-41f0-b69b-432be2af2c22","resolution":{"observed_at":"2026-08-06T23:20:26.352420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:26.193002Z","title":"Publisher: Nature Publishing Group","venue":null,"work_id":"117098ed-5094-4087-9a81-52a82ad08e86","year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.617975Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:506106456452328e33ebe529792d9bc167854aa4b65f7673f9d5a34d43a1d914","observation_id":"4f4bc217-1012-4ae3-8da8-e271cbf811c5","resolution":{"observed_at":"2026-08-06T23:20:26.235049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:26.058558Z","title":null,"venue":null,"work_id":"659671cc-77a2-4750-a290-e65cca4dde7e","year":1997},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.682113Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:a4132ac0bef036ac4bd1e939b407b452fe4d7f395404c80440ed27c7014458e4","observation_id":"549de507-8bcd-4e49-99f4-1b31ee571667","resolution":{"observed_at":"2026-08-06T23:20:26.141273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:25.811561Z","title":null,"venue":null,"work_id":"66323dc5-0422-4026-8a7b-70109c3f144a","year":1994},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.753277Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:d2fb53e577c97b14988051d5a2414f4b2529c95801e5910f57637360c03837e4","observation_id":"98452b2e-9f2e-4b13-afce-878234db810f","resolution":{"observed_at":"2026-08-06T23:20:25.937382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:25.598923Z","title":"S.et al.Engineering atomic-level complexity in high-entropy and complex concentrated alloys.Nature communications10, 2090 (2019)","venue":null,"work_id":"781e1767-9da9-4b43-86ed-f229e9421214","year":2019},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.817025Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:93378ee4ddf97e2069c32679a98e0e8f2321745707f3e14b8cc342842565c59a","observation_id":"5abca78a-7ea1-4e45-9299-238647117713","resolution":{"observed_at":"2026-08-06T23:20:25.710511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:25.369801Z","title":null,"venue":null,"work_id":"34ee84bd-dd57-42ca-8f96-36d7886b2003","year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.867441Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:4da9d6a30899b2e59440d2db464d130ad4806c7bce110a4d6f6f2fac115d8079","observation_id":"069ebe40-7f21-44a4-bb3d-37b6f16d1f6d","resolution":{"observed_at":"2026-08-06T23:20:25.477819Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:25.151014Z","title":null,"venue":null,"work_id":"a2a3add5-d831-40ce-b7c4-1daa50dd4a38","year":2020},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.914170Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:8fcc222ede8b6c85936a46cfd83ee963bb03ba129f1c5755b3770f3ae6413d7c","observation_id":"5206f7be-87e8-48f3-85b7-b9da3cd425aa","resolution":{"observed_at":"2026-08-06T23:20:25.241937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:25.004768Z","title":"J., Kim, H., Jo, J","venue":null,"work_id":"b4a6ead3-68e3-45c2-942a-bbe3805d5fed","year":2023},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:19.995517Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:84e0b54309f059232a7e069d576249e57e9461041a75b6a722a073679e5dcfb6","observation_id":"99df781f-64cc-462a-b9f3-637961f50940","resolution":{"observed_at":"2026-08-06T23:20:25.069063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:24.815527Z","title":"SMILES, a chemical language and information system","venue":null,"work_id":"24ceec6d-ee11-4ffd-8c4b-45305e63bfba","year":1988},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.077971Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:2f6917b86a1cd5fbe02831362519e7e528f35f593bafd3ddff3cd4ebc785fa76","observation_id":"2278e869-f5f4-47de-89c4-29f3d446d43a","resolution":{"observed_at":"2026-08-06T23:20:24.906833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:24.632699Z","title":"& Weininger, J","venue":null,"work_id":"c6c19a98-5b5d-4565-bc97-28fb0378a65e","year":1989},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.129886Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:02125dd160068de7e38ffc250d23a1451ec295e745fd011f878c3129b8403534","observation_id":"caeeb3b8-3c9a-4a64-8d97-bd2601dd0fc4","resolution":{"observed_at":"2026-08-06T23:20:24.691952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01712","last_updated":"2022-09-05T00:31:12Z","snapshot_observed_at":"2026-08-16T16:34:49.236386Z","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":"2026-08-15T03:01:55.776513Z","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:cbf53412825b7c85edc2f32e75eef34a30cf5eb85c938f71a65f94ba75dcc1c2","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":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-06T23:20:20.327013Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.327013Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:42e557422f31bab9ee8bba303af917a5eeda0bf23c7731a337dd856a9f71ae2a","observation_id":"b083eb3f-2836-4848-ae53-bd13ec21832d","resolution":{"observed_at":"2026-08-06T23:20:20.327013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00024","last_updated":"2024-05-21T03:40:19Z","snapshot_observed_at":"2026-08-16T14:29:33.538544Z","submitted_at":"2024-01-05T18:31:34Z","title":"Can Large Language Models Understand Molecules?","version":3},"cited_work":{"arxiv_id":"2402.00024","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.00024","snapshot_observed_at":"2026-08-06T23:20:21.872764Z","title":"Can Large Language Models Understand Molecules?","venue":"q-bio.BM","work_id":"6118eced-1672-4eec-b5f6-0e5a69559a9b","year":2024},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.403325Z"},"links":{"cited_paper":"/paper/2402.00024","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:a7155a53cdff37a567b1d92fc37fef56d56a031a7a9e9e6db2f1f9ae4b38c6ff","observation_id":"943a0fcc-56a3-469a-b63c-82ac7225e7ad","resolution":{"observed_at":"2026-08-06T23:20:21.990649Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:24.499754Z","title":"& Barati Farimani, A","venue":null,"work_id":"151d234d-f439-4d26-a516-3c2f4bc04e1a","year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.467989Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:7f2092304b6f8b6bcd4a669d66d86611ba075274dcdefb5917898e4416f74296","observation_id":"31ecc1d4-bbd6-4d5a-9cbd-014c9118f417","resolution":{"observed_at":"2026-08-06T23:20:24.560430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:24.287664Z","title":"& Deny, S","venue":null,"work_id":"bb44dbe4-54f9-45a0-9474-ee91fca62c26","year":2021},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.534412Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:ffa12595b45e7a81f3858357d2a7d624da019313b1fe0ba309563fac14021cd7","observation_id":"daff4b6c-4bc8-48fa-aece-008f6909424c","resolution":{"observed_at":"2026-08-06T23:20:24.398016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.10566","last_updated":"2020-11-20T18:59:33Z","snapshot_observed_at":"2026-08-14T07:19:32.096028Z","submitted_at":"2020-11-20T18:59:33Z","title":"Exploring Simple Siamese Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.10566","snapshot_observed_at":"2026-08-06T23:20:20.599871Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.599871Z"},"links":{"cited_paper":"/paper/2011.10566","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:1e009f9b6376393c0571b08e3a724e5fc42b1ff2a1f744512967f5ae8e14f1e3","observation_id":"929f4a7e-e248-4508-9a51-c779f0d1c59f","resolution":{"observed_at":"2026-08-06T23:20:20.599871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.13408","last_updated":"2022-11-24T04:15:47Z","snapshot_observed_at":"2026-08-16T16:13:41.369394Z","submitted_at":"2022-11-24T04:15:47Z","title":"Graph Contrastive Learning for Materials","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.13408","snapshot_observed_at":"2026-08-06T23:20:20.631530Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.631530Z"},"links":{"cited_paper":"/paper/2211.13408","citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:4a50e67fd691cb93cb3e375acf07823c5714a41a7b7ef52640b37bbc05b3b884","observation_id":"b47ca5ba-f3ce-44bd-9e3e-9950274a2165","resolution":{"observed_at":"2026-08-06T23:20:20.631530Z","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":"2026-08-06T23:20:20.698256Z","title":"& Parrinello, M","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.698256Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:06de8dc433134ff5b633c4593f5dbc1b63a919be956212fa1ce73b0749fef888","observation_id":"f4cc7869-0425-493a-93b8-cd18104672de","resolution":{"observed_at":"2026-08-06T23:20:20.698256Z","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":"2026-08-06T23:20:24.038916Z","title":"P., Payne, M","venue":null,"work_id":"a290adee-f588-4e2b-84f5-07bd76d305e7","year":2010},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.764615Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:df305aa9248c626cd2a7b3dd3026466e444dc4ed4fa3a01c7ca7e5504d574341","observation_id":"29793cf7-45f3-4f44-8000-e959256a9194","resolution":{"observed_at":"2026-08-06T23:20:24.185002Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:23.842608Z","title":"G., Hoogeboom, E","venue":null,"work_id":"719fb449-0f83-4447-b7e7-f36c6f9021a9","year":2021},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.827207Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:8aadeb6639ca76c52174324028f1e9b55464fa122fb55cbc34e2a8c6f2826592","observation_id":"d3b84465-0d4a-45e9-9a8d-aa880e6ce193","resolution":{"observed_at":"2026-08-06T23:20:23.957604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:20.871164Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.871164Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:e974be435804d7cd0688021e0eab13c8b963f5a273f439711bca8def06d2f32a","observation_id":"0d62f71b-2fc9-485f-8819-ec360726889b","resolution":{"observed_at":"2026-08-06T23:20:20.871164Z","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":"2026-08-06T23:20:23.543359Z","title":"D.et al.Benchmarking machine learning models for predicting lithium ion migration.npj Computational Materials11, 1–12 (2025)","venue":null,"work_id":"2a65cc6d-edd8-4419-988e-1338c0e6046b","year":2025},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:20.945414Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:ed9dfafe21cd68b1e468e5c97ac4bb6b37fb87054b72f19ecc86922d20697001","observation_id":"d8b2f31a-195d-4002-b4a7-260037a3d57c","resolution":{"observed_at":"2026-08-06T23:20:23.677844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:23.283453Z","title":"URL https://www.nature.com/articles/s41467-021-26921-5","venue":null,"work_id":"82fab71c-dfe0-4767-87b0-d4b9eb61fd57","year":2021},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:21.019256Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:c12a3c741baea03ced4f9ebbc902a9cb18efed3a1edcc21cb49cf8f9b0f8c181","observation_id":"f78ffb65-c215-4bfa-9b8e-894ce21b2fc1","resolution":{"observed_at":"2026-08-06T23:20:23.390683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:23.100418Z","title":"& Ong, S","venue":null,"work_id":"f4ec9311-b953-420b-a494-7bc848757df0","year":2022},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:21.120039Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:8580ad065ffa57250bd8266dfa1d561d0690101f8d1f0860a2e129a2f41c9eca","observation_id":"a971b32a-2fae-4336-a5ac-0c8c151b5567","resolution":{"observed_at":"2026-08-06T23:20:23.165878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:22.913105Z","title":"URL https://www.nature.com/articles/ s41524-025-01606-5","venue":null,"work_id":"022327a4-b627-4a0f-a701-bc03fbff7147","year":2025},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:21.326642Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:49dc47f6be25a7b2faea3faeea3a956dd8a2c27656f8fe278f38561cdd2e448a","observation_id":"22e54aa5-fd0d-47c5-9c85-ffb16b55154f","resolution":{"observed_at":"2026-08-06T23:20:22.997592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:22.548398Z","title":"& Rignanese, G.-M","venue":null,"work_id":"4e4dd3cd-2c3c-47e1-80d7-d640b270dfc3","year":2021},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:21.493334Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:b16b36fb782a32040d16bbae1f1b3628034086627e0c0d7e3bda1fb6781b649e","observation_id":"3cc3cf5d-225f-478c-8ff1-e8327976030f","resolution":{"observed_at":"2026-08-06T23:20:22.709513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T23:20:22.238983Z","title":"& Koyama, M","venue":null,"work_id":"56b17c0b-de36-415f-8ca0-cbfc93cdc96f","year":2019},"citing_paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:21.665076Z"},"links":{"citing_paper":"/paper/2506.18497"},"observation_digest":"sha256:3ceff5d0f96e1ae08cb2f8fae959bc5a0a68db534cc703a2dc584929cd236c19","observation_id":"8f8131b7-584a-4a1c-83cd-647f3b9885fb","resolution":{"observed_at":"2026-08-06T23:20:22.385447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.18497","last_updated":"2025-06-23T10:49:19Z","latest_version":1,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-15T03:01:55.776513Z","submitted_at":"2025-06-23T10:49:19Z","title":"Leveraging neural network interatomic potentials for a foundation model of chemistry"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":1,"verified_fuzzy":31},"total_outbound_references":52},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2506.18497."}