{"as_of":"2026-08-06T09:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a21a63a8de99f8a057a4f5eb16a57d17f1025df60629bd99712516779bb9d30c","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":"2026-08-06T06:34:29.942622+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":"2026-06-27T02:11:34.174504Z","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":"2026-07-03T19:08:49.856956Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.15026","last_updated":"2024-12-06T06:02:07Z","snapshot_observed_at":"2026-07-06T18:49:38.316515Z","submitted_at":"2024-07-03T03:29:23Z","title":"Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms","version":2},"cited_work":{"arxiv_id":"2407.15026","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.15026","snapshot_observed_at":"2026-07-03T19:08:49.856956Z","title":null,"venue":null,"work_id":"c2a0ca0f-c699-46a7-b2fb-f08c3063a294","year":2024},"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":27,"source":"pdf_text","source_observed_at":"2026-05-10T16:19:16.751139Z"},"links":{"cited_paper":"/paper/2407.15026","citing_paper":"/paper/2604.11202"},"observation_digest":"sha256:055971a3557ee69914a4848cb3721bac5bb9642c1f1c4b0781d743951c7a4a4a","observation_id":"41fcd4f4-c55a-4de6-bd5a-98b6630a623b","resolution":{"observed_at":"2026-05-11T09:01:00.056560Z","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":"2407.15026","last_updated":"2024-12-06T06:02:07Z","snapshot_observed_at":"2026-07-06T18:49:38.316515Z","submitted_at":"2024-07-03T03:29:23Z","title":"Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms","version":2},"cited_work":{"arxiv_id":"2407.15026","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.15026","snapshot_observed_at":"2026-07-03T19:08:49.856956Z","title":null,"venue":null,"work_id":"c2a0ca0f-c699-46a7-b2fb-f08c3063a294","year":2024},"citing_paper":{"arxiv_id":"2606.17253","last_updated":"2026-06-15T19:54:57Z","snapshot_observed_at":"2026-08-04T10:16:04.732210Z","submitted_at":"2026-06-15T19:54:57Z","title":"PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM Agents for VLSI Physical Design","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T02:11:34.174504Z"},"links":{"cited_paper":"/paper/2407.15026","citing_paper":"/paper/2606.17253"},"observation_digest":"sha256:40d55f784df17badabd358f634cde62ae4f40c2113a0b6efa296ac7c5c07d675","observation_id":"df5693fa-e65e-4154-b75a-1c11b9626757","resolution":{"observed_at":"2026-07-03T19:08:49.858617Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2407.15026/citation-record","integrity":"/paper/2407.15026/integrity","json":"/paper/2407.15026/citation-record.json","paper":"/paper/2407.15026"},"outbound":[],"paper":{"arxiv_id":"2407.15026","last_updated":"2024-12-06T06:02:07Z","latest_version":2,"primary_category":"cs.AR","snapshot_observed_at":"2026-07-06T18:49:38.316515Z","submitted_at":"2024-07-03T03:29:23Z","title":"Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms"},"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 2 inbound Pith citation observations for arXiv:2407.15026."}