{"as_of":"2026-08-15T16:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f0607ccb9ee28c83071546765bf36ab3e39425ba676773d3f65e89817a7806d5","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:13:00.704158Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T13:38:19.646875Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-08-07T14:13:00.704158Z","title":"Mazitov, F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19745","last_updated":"2025-05-26T09:26:28Z","snapshot_observed_at":"2026-08-14T10:15:28.362611Z","submitted_at":"2025-05-26T09:26:28Z","title":"Machine Learning the Energetics of Electrified Solid/Liquid Interfaces","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T14:13:00.704158Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2505.19745"},"observation_digest":"sha256:c46ac373f8967e6974f8e651f758708d7fad776039313ccf815dbaffd5f002fc","observation_id":"ccca1166-97e7-418f-9096-747863a9ad47","resolution":{"observed_at":"2026-08-07T14:13:00.704158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-08-07T04:17:22.240365Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10956","last_updated":"2025-06-12T17:55:48Z","snapshot_observed_at":"2026-08-13T07:55:22.187993Z","submitted_at":"2025-06-12T17:55:48Z","title":"Distillation of atomistic foundation models across architectures and chemical domains","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T04:17:22.240365Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2506.10956"},"observation_digest":"sha256:b3098f1f644ef22a00f1c118ab47f2f57d91c6cfdab905eccbbd906ecb1d3023","observation_id":"60468bf3-c455-4a5f-9213-fd6a60af051c","resolution":{"observed_at":"2026-08-07T04:17:22.240365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-08-04T18:03:56.804916Z","title":"Mazitov, F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.10293","last_updated":"2025-09-12T14:35:42Z","snapshot_observed_at":"2026-08-13T07:55:19.065451Z","submitted_at":"2025-09-12T14:35:42Z","title":"OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:56.804916Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2509.10293"},"observation_digest":"sha256:d9f320301b0f169b36ff8bb1cb3cd4984cdafe56c39673ee580fef295db0091d","observation_id":"71c05811-b63c-458d-bc6e-76e7c421fb02","resolution":{"observed_at":"2026-08-04T18:03:56.804916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":"2503.14118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-07-03T13:38:19.646875Z","title":"Mazitov, F","venue":null,"work_id":"5c39b153-1a62-4977-b1d3-8a1fc8018c94","year":2025},"citing_paper":{"arxiv_id":"2509.11703","last_updated":"2026-01-28T10:45:54Z","snapshot_observed_at":"2026-08-15T12:57:50.171359Z","submitted_at":"2025-09-15T09:04:01Z","title":"AiiDA-TrainsPot: Towards automated training of neural-network interatomic potentials","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T17:08:31.090503Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2509.11703"},"observation_digest":"sha256:d9c904be2e97c34ac1894c7ba0f7305b9ed7cc49f032969d8d4766ef64e57acf","observation_id":"669b783c-18ef-4755-a1bd-947e2616e845","resolution":{"observed_at":"2026-05-18T17:11:40.371941Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":"2503.14118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-07-03T13:38:19.646875Z","title":"Mazitov, F","venue":null,"work_id":"5c39b153-1a62-4977-b1d3-8a1fc8018c94","year":2025},"citing_paper":{"arxiv_id":"2601.03656","last_updated":"2026-05-18T20:26:53Z","snapshot_observed_at":"2026-08-15T01:28:33.806728Z","submitted_at":"2026-01-07T07:12:45Z","title":"Simultaneous Learning of Static and Dynamic Charges","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-21T16:50:56.804356Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2601.03656"},"observation_digest":"sha256:58f4a9d52f29436e2804af17ec96064979ba904a5e6ee1a31974a8cdceab7335","observation_id":"4bb65a46-7455-4b45-af82-07b94d0db898","resolution":{"observed_at":"2026-05-21T16:54:16.436041Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-08-03T04:29:10.578898Z","title":"Pet-mad, a lightweight universal interatomic potential for advanced materials modeling, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.04861","last_updated":"2026-05-29T18:09:08Z","snapshot_observed_at":"2026-08-14T00:29:13.515772Z","submitted_at":"2026-02-04T18:50:10Z","title":"From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T04:29:10.578898Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2602.04861"},"observation_digest":"sha256:f5bdac1f76490842373d8e3b6dcaa1b4a88fcc77ed00a2161598c8906d7d6800","observation_id":"35a2cda3-a5b5-4ed6-a6af-d54608d485ab","resolution":{"observed_at":"2026-08-03T04:29:10.578898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":"2503.14118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-07-03T13:38:19.646875Z","title":"Mazitov, F","venue":null,"work_id":"5c39b153-1a62-4977-b1d3-8a1fc8018c94","year":2025},"citing_paper":{"arxiv_id":"2606.04973","last_updated":"2026-06-03T14:54:38Z","snapshot_observed_at":"2026-07-06T23:45:02.342193Z","submitted_at":"2026-06-03T14:54:38Z","title":"SLUSCHI-UP: A Web Infrastructure for SLUSCHI Melting-Temperature Calculations Using Universal Machine-Learning Interatomic Potentials","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-28T05:16:26.340613Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2606.04973"},"observation_digest":"sha256:e80387293dc1f5efb3655c934d5e3bb44eb6d2f3728ae330c08c91ab8b08541f","observation_id":"125ff0a4-defa-4dd2-9d14-15bd116ae5fc","resolution":{"observed_at":"2026-07-02T10:06:52.118436Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":"2503.14118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-07-03T13:38:19.646875Z","title":"Mazitov, F","venue":null,"work_id":"5c39b153-1a62-4977-b1d3-8a1fc8018c94","year":2025},"citing_paper":{"arxiv_id":"2606.07327","last_updated":"2026-06-10T08:53:54Z","snapshot_observed_at":"2026-08-14T11:15:38.040405Z","submitted_at":"2026-06-05T14:45:06Z","title":"Six Open Questions in Machine-Learned Interatomic Potential Foundation Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-27T21:27:50.941166Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2606.07327"},"observation_digest":"sha256:76f989c79fe8fdc34decc15fdf06eca4f6fd08f044a6a33c3066d2ed87316d9f","observation_id":"9d3ac425-546d-4882-892f-d33a2a6e3d55","resolution":{"observed_at":"2026-07-02T19:37:19.152793Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":"2503.14118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-07-03T13:38:19.646875Z","title":"Mazitov, F","venue":null,"work_id":"5c39b153-1a62-4977-b1d3-8a1fc8018c94","year":2025},"citing_paper":{"arxiv_id":"2606.12704","last_updated":"2026-06-10T21:46:04Z","snapshot_observed_at":"2026-08-15T10:18:26.264729Z","submitted_at":"2026-06-10T21:46:04Z","title":"Fine-tuning MLIP foundation models: strategies for accuracy and transferability","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T07:38:30.547968Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2606.12704"},"observation_digest":"sha256:b1a366d1973ed84c3306c2721975cd0e3d74e43862abc9a741c354da8cf96e5c","observation_id":"92344e64-1bb2-402d-830c-ef2631824814","resolution":{"observed_at":"2026-07-03T13:38:19.648277Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14118","snapshot_observed_at":"2026-07-12T11:08:03.688246Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.29100","last_updated":"2026-07-03T14:04:47Z","snapshot_observed_at":"2026-08-13T15:28:34.602676Z","submitted_at":"2026-06-27T22:10:01Z","title":"Toward Exascale AI for Science: A Scalable AI Skill for Autonomous Microkinetics Discovery","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-12T11:08:03.688246Z"},"links":{"cited_paper":"/paper/2503.14118","citing_paper":"/paper/2606.29100"},"observation_digest":"sha256:bb854b1b479a265570c6b95175b6bb114827adcded49a62acb2c316ddf3fb261","observation_id":"8dae38fa-4ea5-432a-b03d-3de1d355cf37","resolution":{"observed_at":"2026-07-12T11:08:03.688246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.14118/citation-record","integrity":"/paper/2503.14118/integrity","json":"/paper/2503.14118/citation-record.json","paper":"/paper/2503.14118"},"outbound":[],"paper":{"arxiv_id":"2503.14118","last_updated":"2025-08-04T22:58:02Z","latest_version":2,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-08-13T02:36:58.383300Z","submitted_at":"2025-03-18T10:35:30Z","title":"PET-MAD, a lightweight universal interatomic potential for advanced materials modeling"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.14118."}