{"as_of":"2026-08-10T08:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:91b5ce82fbdf360f58c9892787869fd3a92d0b2308bc54f8f50a70849c45eee3","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-06-27T20:50:41.513859Z","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":"2026-07-02T20:07:22.561067Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.15337","last_updated":"2025-06-20T05:31:52Z","snapshot_observed_at":"2026-08-06T23:56:28.252437Z","submitted_at":"2025-06-18T10:32:26Z","title":"Knowledge Distillation Framework for Accelerating High-Accuracy Neural Network-Based Molecular Dynamics Simulations","version":2},"cited_work":{"arxiv_id":"2506.15337","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.15337","snapshot_observed_at":"2026-07-02T20:07:22.561067Z","title":"arXiv preprint arXiv:2506.15337 , year=","venue":null,"work_id":"014b1052-4c9f-40fc-add9-bbd77ac73743","year":2025},"citing_paper":{"arxiv_id":"2605.14527","last_updated":"2026-05-14T08:10:42Z","snapshot_observed_at":"2026-08-09T05:10:27.480019Z","submitted_at":"2026-05-14T08:10:42Z","title":"Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows","version":1},"reference_index":106,"source":"arxiv_source","source_observed_at":"2026-05-15T02:17:26.265221Z"},"links":{"cited_paper":"/paper/2506.15337","citing_paper":"/paper/2605.14527"},"observation_digest":"sha256:983fc46e87a6b59359136409d04fdb1805c9d4ee8e0ff93f3cb040bf3d3183b8","observation_id":"07e40886-fae1-42aa-8918-67768f9571cb","resolution":{"observed_at":"2026-05-15T02:18:31.033538Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15337","last_updated":"2025-06-20T05:31:52Z","snapshot_observed_at":"2026-08-06T23:56:28.252437Z","submitted_at":"2025-06-18T10:32:26Z","title":"Knowledge Distillation Framework for Accelerating High-Accuracy Neural Network-Based Molecular Dynamics Simulations","version":2},"cited_work":{"arxiv_id":"2506.15337","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.15337","snapshot_observed_at":"2026-07-02T20:07:22.561067Z","title":"arXiv preprint arXiv:2506.15337 , year=","venue":null,"work_id":"014b1052-4c9f-40fc-add9-bbd77ac73743","year":2025},"citing_paper":{"arxiv_id":"2606.06848","last_updated":"2026-06-05T02:46:46Z","snapshot_observed_at":"2026-08-02T03:17:12.205390Z","submitted_at":"2026-06-05T02:46:46Z","title":"Distilling first-principles accuracy into compact machine learning potentials for condensed-phase chemistry","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-27T20:50:41.513859Z"},"links":{"cited_paper":"/paper/2506.15337","citing_paper":"/paper/2606.06848"},"observation_digest":"sha256:99ff80d32b80a87c61d1b5837df980c53ac14661a602edb95eed3e5b98193d1b","observation_id":"eaad7de1-a776-42c8-9c46-55a0f1765d6f","resolution":{"observed_at":"2026-07-02T20:07:22.562761Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.15337/citation-record","integrity":"/paper/2506.15337/integrity","json":"/paper/2506.15337/citation-record.json","paper":"/paper/2506.15337"},"outbound":[],"paper":{"arxiv_id":"2506.15337","last_updated":"2025-06-20T05:31:52Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T23:56:28.252437Z","submitted_at":"2025-06-18T10:32:26Z","title":"Knowledge Distillation Framework for Accelerating High-Accuracy Neural Network-Based Molecular Dynamics Simulations"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.15337."}