{"as_of":"2026-08-06T08:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7acc78f7a63795c2637f0aa6ff13a146ca8d8070f0fc53269f8d0ae548bea741","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-09T18:43:56.800134Z","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":"2026-07-09T18:46:26.497020Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.02016","last_updated":"2025-05-04T07:35:34Z","snapshot_observed_at":"2026-08-04T00:20:17.024166Z","submitted_at":"2025-05-04T07:35:34Z","title":"ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA","version":1},"cited_work":{"arxiv_id":"2505.02016","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02016","snapshot_observed_at":"2026-07-09T18:46:26.497020Z","title":"Forgeeda: A comprehensive multimodal dataset for advancing eda","venue":"cs.AR","work_id":"9b67b262-2296-49c8-9af1-85ce64e5f508","year":2025},"citing_paper":{"arxiv_id":"2604.08810","last_updated":"2026-04-09T22:59:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-09T22:59:27Z","title":"R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T17:01:41.339487Z"},"links":{"cited_paper":"/paper/2505.02016","citing_paper":"/paper/2604.08810"},"observation_digest":"sha256:0df7e1260977cb869e7147b1a9d34d8f5cb02bc02ecc75c2330e22b7e5a38c8d","observation_id":"28905636-330d-4857-9ce4-0d86acb20241","resolution":{"observed_at":"2026-05-11T07:41:01.254320Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02016","last_updated":"2025-05-04T07:35:34Z","snapshot_observed_at":"2026-08-04T00:20:17.024166Z","submitted_at":"2025-05-04T07:35:34Z","title":"ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA","version":1},"cited_work":{"arxiv_id":"2505.02016","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02016","snapshot_observed_at":"2026-07-09T18:46:26.497020Z","title":"Forgeeda: A comprehensive multimodal dataset for advancing eda","venue":"cs.AR","work_id":"9b67b262-2296-49c8-9af1-85ce64e5f508","year":2025},"citing_paper":{"arxiv_id":"2604.11202","last_updated":"2026-04-13T09:01:12Z","snapshot_observed_at":"2026-08-01T03:44:08.052542Z","submitted_at":"2026-04-13T09:01:12Z","title":"CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T16:19:16.751139Z"},"links":{"cited_paper":"/paper/2505.02016","citing_paper":"/paper/2604.11202"},"observation_digest":"sha256:1dc375ebb77b2d6c7801d2b759a6135e9c6a9a2c520d0a929ef96245e1ce3703","observation_id":"3e4e2fd1-43ad-4478-a18e-d088f6b7fa67","resolution":{"observed_at":"2026-05-11T09:01:00.078480Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02016","last_updated":"2025-05-04T07:35:34Z","snapshot_observed_at":"2026-08-04T00:20:17.024166Z","submitted_at":"2025-05-04T07:35:34Z","title":"ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA","version":1},"cited_work":{"arxiv_id":"2505.02016","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02016","snapshot_observed_at":"2026-07-09T18:46:26.497020Z","title":"Forgeeda: A comprehensive multimodal dataset for advancing eda","venue":"cs.AR","work_id":"9b67b262-2296-49c8-9af1-85ce64e5f508","year":2025},"citing_paper":{"arxiv_id":"2606.08976","last_updated":"2026-06-08T03:21:33Z","snapshot_observed_at":"2026-08-05T21:37:24.037085Z","submitted_at":"2026-06-08T03:21:33Z","title":"RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T17:01:24.292776Z"},"links":{"cited_paper":"/paper/2505.02016","citing_paper":"/paper/2606.08976"},"observation_digest":"sha256:0d5cdd002ab7a7453197a9db278ba162c86595a1856063c662f461204b8a2209","observation_id":"2c0d21dc-c25c-491f-bf4b-782db5a63750","resolution":{"observed_at":"2026-07-03T00:47:30.485175Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02016","last_updated":"2025-05-04T07:35:34Z","snapshot_observed_at":"2026-08-04T00:20:17.024166Z","submitted_at":"2025-05-04T07:35:34Z","title":"ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA","version":1},"cited_work":{"arxiv_id":"2505.02016","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02016","snapshot_observed_at":"2026-07-09T18:46:26.497020Z","title":"Forgeeda: A comprehensive multimodal dataset for advancing eda","venue":"cs.AR","work_id":"9b67b262-2296-49c8-9af1-85ce64e5f508","year":2025},"citing_paper":{"arxiv_id":"2607.07164","last_updated":"2026-07-08T08:56:24Z","snapshot_observed_at":"2026-08-03T21:24:45.365103Z","submitted_at":"2026-07-08T08:56:24Z","title":"Miter-Aware LUT Mapping: Aligning Structure and Solvability for Efficient Logic Equivalence Checking","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-09T18:43:56.800134Z"},"links":{"cited_paper":"/paper/2505.02016","citing_paper":"/paper/2607.07164"},"observation_digest":"sha256:79035bb3301e92d020335b940e10dc3b12effeb51cf28f0ddef0a22ef7a2cf19","observation_id":"064f91f9-b11e-47c6-9406-c4927661b6ff","resolution":{"observed_at":"2026-07-09T18:46:26.498954Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.02016/citation-record","integrity":"/paper/2505.02016/integrity","json":"/paper/2505.02016/citation-record.json","paper":"/paper/2505.02016"},"outbound":[],"paper":{"arxiv_id":"2505.02016","last_updated":"2025-05-04T07:35:34Z","latest_version":1,"primary_category":"cs.AR","snapshot_observed_at":"2026-08-04T00:20:17.024166Z","submitted_at":"2025-05-04T07:35:34Z","title":"ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.02016."}