{"as_of":"2026-08-02T21:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5dae66577a55b755eb99f415e790b0b78eda319b6a39ab577d4ee60f0342060b","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-02T06:30:47.504484+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T04:51:20.168266Z","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":"2026-05-20T00:57:54.262157Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.11542","last_updated":"2019-10-17T16:07:49Z","snapshot_observed_at":"2026-07-06T08:24:32.545342Z","submitted_at":"2019-09-25T15:05:02Z","title":"CLN2INV: Learning Loop Invariants with Continuous Logic Networks","version":3},"cited_work":{"arxiv_id":"1909.11542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.11542","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1909.11542 (2019)","venue":null,"work_id":"21b3ddbe-99b3-40c2-97fb-9af87589f1e2","year":2019},"citing_paper":{"arxiv_id":"2604.21570","last_updated":"2026-04-23T11:46:19Z","snapshot_observed_at":"2026-08-02T20:33:52.654025Z","submitted_at":"2026-04-23T11:46:19Z","title":"SpecSyn: LLM-based Synthesis and Refinement of Formal Specifications for Real-world Program Verification","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-09T21:05:59.438175Z"},"links":{"cited_paper":"/paper/1909.11542","citing_paper":"/paper/2604.21570"},"observation_digest":"sha256:58c5d4877512415d5c8816115305b5ecdd5971fee7f0e2a3932635858a590d67","observation_id":"7e2e01b7-3c9d-44bf-b3dd-6ef9bd896a86","resolution":{"observed_at":"2026-05-11T14:46:41.764404Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11542","last_updated":"2019-10-17T16:07:49Z","snapshot_observed_at":"2026-07-06T08:24:32.545342Z","submitted_at":"2019-09-25T15:05:02Z","title":"CLN2INV: Learning Loop Invariants with Continuous Logic Networks","version":3},"cited_work":{"arxiv_id":"1909.11542","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.11542","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:1909.11542 (2019)","venue":null,"work_id":"21b3ddbe-99b3-40c2-97fb-9af87589f1e2","year":2019},"citing_paper":{"arxiv_id":"2605.17914","last_updated":"2026-05-18T06:23:03Z","snapshot_observed_at":"2026-08-01T05:50:04.819101Z","submitted_at":"2026-05-18T06:23:03Z","title":"Guiding LLM-based Loop Invariant Synthesis via Feedback on Local Reasoning Errors","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-20T00:54:59.425270Z"},"links":{"cited_paper":"/paper/1909.11542","citing_paper":"/paper/2605.17914"},"observation_digest":"sha256:85af5bfeb07fbca6481eea8d78c27106b9bc9f4d520233cc97abb7ab4876d6bf","observation_id":"bb642024-bfb2-4e35-b147-67046963ffe9","resolution":{"observed_at":"2026-05-20T00:57:54.263582Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11542","last_updated":"2019-10-17T16:07:49Z","snapshot_observed_at":"2026-07-06T08:24:32.545342Z","submitted_at":"2019-09-25T15:05:02Z","title":"CLN2INV: Learning Loop Invariants with Continuous Logic Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11542","snapshot_observed_at":"2026-08-01T04:51:20.168266Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.27606","last_updated":"2026-07-30T02:50:09Z","snapshot_observed_at":"2026-08-02T21:32:01.778968Z","submitted_at":"2026-07-30T02:50:09Z","title":"LimICE: Integrating LLM into ICE Framework for Efficient Loop Invariant Inference","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T04:51:20.168266Z"},"links":{"cited_paper":"/paper/1909.11542","citing_paper":"/paper/2607.27606"},"observation_digest":"sha256:ea71ce1b4850f5fb0dd04d09a53951a0198c6b590f6e6afa4c8ec4918e436752","observation_id":"603a4f74-6b4c-4cee-9813-9160a600d9bf","resolution":{"observed_at":"2026-08-01T04:51:20.168266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1909.11542/citation-record","integrity":"/paper/1909.11542/integrity","json":"/paper/1909.11542/citation-record.json","paper":"/paper/1909.11542"},"outbound":[],"paper":{"arxiv_id":"1909.11542","last_updated":"2019-10-17T16:07:49Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:24:32.545342Z","submitted_at":"2019-09-25T15:05:02Z","title":"CLN2INV: Learning Loop Invariants with Continuous Logic Networks"},"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":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"thesis":"As of 2 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.11542."}