{"as_of":"2026-08-19T20:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:005ae201822cfc43975c5ad3c5d313da060f3143dc802aeb98bf945bc2aee3c9","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":"2026-08-19T06:32:44.657259+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":"2026-08-12T05:04:57.203145Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T18:24:54.412394Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.15426","last_updated":"2021-05-25T10:49:41Z","snapshot_observed_at":"2026-08-19T14:49:49.698150Z","submitted_at":"2020-06-27T18:50:24Z","title":"Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.15426","snapshot_observed_at":"2026-08-12T05:04:57.203145Z","title":"Molecule edit graph attention network: Modeling chemical reactions as sequences of graph edits","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2412.00807","last_updated":"2024-12-01T13:34:22Z","snapshot_observed_at":"2026-08-14T04:46:24.405371Z","submitted_at":"2024-12-01T13:34:22Z","title":"Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-12T05:04:57.203145Z"},"links":{"cited_paper":"/paper/2006.15426","citing_paper":"/paper/2412.00807"},"observation_digest":"sha256:aecd49bb2b830d6c9d1ab248dec0325d038e716aabbc3ee015e56d4a7f4a38ef","observation_id":"c91fcc3b-c3ea-47b9-ae4d-3883abe2d4c0","resolution":{"observed_at":"2026-08-12T05:04:57.203145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.15426","last_updated":"2021-05-25T10:49:41Z","snapshot_observed_at":"2026-08-19T14:49:49.698150Z","submitted_at":"2020-06-27T18:50:24Z","title":"Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits","version":2},"cited_work":{"arxiv_id":"2006.15426","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.15426","snapshot_observed_at":"2026-08-06T18:24:54.412394Z","title":"Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits","venue":"cs.LG","work_id":"18b68965-7fa7-4547-a402-e62d72fb2ab1","year":2020},"citing_paper":{"arxiv_id":"2507.08475","last_updated":"2025-07-11T10:35:13Z","snapshot_observed_at":"2026-08-19T03:43:36.304171Z","submitted_at":"2025-07-11T10:35:13Z","title":"SynBridge: Bridging Reaction States via Discrete Flow for Bidirectional Reaction Prediction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:54.006814Z"},"links":{"cited_paper":"/paper/2006.15426","citing_paper":"/paper/2507.08475"},"observation_digest":"sha256:82ef1143abfbc409e05a63c9b70f2fa8535bb5c1116065ff2e58a1dda7e08e0f","observation_id":"23e99d5c-8012-46e1-afa5-3164d94b1c83","resolution":{"observed_at":"2026-08-06T18:24:54.485012Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2006.15426/citation-record","integrity":"/paper/2006.15426/integrity","json":"/paper/2006.15426/citation-record.json","paper":"/paper/2006.15426"},"outbound":[],"paper":{"arxiv_id":"2006.15426","last_updated":"2021-05-25T10:49:41Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T14:49:49.698150Z","submitted_at":"2020-06-27T18:50:24Z","title":"Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.15426."}