{"as_of":"2026-08-07T09:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04b55c1c9cd93249e014122a3cf0ab4709f8be470a8f2b321b6f07247ad402f4","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T22:04:22.798146Z","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":"2026-08-05T13:12:44.662229Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.14771","last_updated":"2024-09-23T07:39:01Z","snapshot_observed_at":"2026-08-07T00:29:12.636736Z","submitted_at":"2024-09-23T07:39:01Z","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14771","snapshot_observed_at":"2026-08-06T22:04:22.798146Z","title":"Ompar: Automatic paral- lelization with ai-driven source-to-source compilation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22703","last_updated":"2025-06-28T01:06:34Z","snapshot_observed_at":"2026-08-06T21:57:42.660733Z","submitted_at":"2025-06-28T01:06:34Z","title":"P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:04:22.798146Z"},"links":{"cited_paper":"/paper/2409.14771","citing_paper":"/paper/2506.22703"},"observation_digest":"sha256:56a80eeab515caa549cde932ad6a41535e0a8493065a3eabac15127fc55c712d","observation_id":"a95ef6be-067c-4ce6-b3b3-91533bfdb10e","resolution":{"observed_at":"2026-08-06T22:04:22.798146Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14771","last_updated":"2024-09-23T07:39:01Z","snapshot_observed_at":"2026-08-07T00:29:12.636736Z","submitted_at":"2024-09-23T07:39:01Z","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation","version":1},"cited_work":{"arxiv_id":"2409.14771","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.14771","snapshot_observed_at":"2026-08-05T13:12:44.662229Z","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation","venue":"cs.CL","work_id":"1b03f8d7-f2a2-4fc8-a128-bbe7059a452c","year":2024},"citing_paper":{"arxiv_id":"2509.00883","last_updated":"2025-08-31T14:51:19Z","snapshot_observed_at":"2026-08-06T17:04:21.799123Z","submitted_at":"2025-08-31T14:51:19Z","title":"Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:12:44.150501Z"},"links":{"cited_paper":"/paper/2409.14771","citing_paper":"/paper/2509.00883"},"observation_digest":"sha256:2b64278ee18a9ac92f88086c80983afc7ba88b2405affe35e4397d7756d070bd","observation_id":"6619f63c-4d81-49f9-bec9-d265ce26059b","resolution":{"observed_at":"2026-08-05T13:12:44.666640Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14771","last_updated":"2024-09-23T07:39:01Z","snapshot_observed_at":"2026-08-07T00:29:12.636736Z","submitted_at":"2024-09-23T07:39:01Z","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14771","snapshot_observed_at":"2026-08-02T11:55:17.534575Z","title":"Tal Kadosh, Niranjan Hasabnis, Prema Soundararajan, Vy A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22588","last_updated":"2026-06-09T19:00:09Z","snapshot_observed_at":"2026-08-05T01:47:03.930497Z","submitted_at":"2026-06-09T19:00:09Z","title":"ParBench: A Benchmark for Reliable Evaluation of LLM Parallel Code Translation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T11:55:17.534575Z"},"links":{"cited_paper":"/paper/2409.14771","citing_paper":"/paper/2607.22588"},"observation_digest":"sha256:d5e6f60cd67b8149ae1f929e8a2f8ceea48e141f611e44a9307db61425dc93a5","observation_id":"2fe4b56d-d998-43f7-bf3b-575b126d460a","resolution":{"observed_at":"2026-08-02T11:55:17.534575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14771","last_updated":"2024-09-23T07:39:01Z","snapshot_observed_at":"2026-08-07T00:29:12.636736Z","submitted_at":"2024-09-23T07:39:01Z","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14771","snapshot_observed_at":"2026-07-31T11:51:17.365405Z","title":"Kadosh,T.;Hasabnis,N.;Vo,V.A.;Schneider,N.;Krien,N.; Wasay,A.;etal.2023.ScopeIsAllYouNeed:Transforming LLMs for HPC Code.Preprint, arXiv:2308.09440","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28301","last_updated":"2026-07-30T14:41:05Z","snapshot_observed_at":"2026-08-05T15:50:53.053152Z","submitted_at":"2026-07-30T14:41:05Z","title":"HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-31T11:51:17.365405Z"},"links":{"cited_paper":"/paper/2409.14771","citing_paper":"/paper/2607.28301"},"observation_digest":"sha256:e5b97491c6a3cbd693a2247ca0e1169b6cc6850c74952a68d5a84f05d6e6c200","observation_id":"4253ba02-6936-4baa-9bb0-d29385a550bf","resolution":{"observed_at":"2026-07-31T11:51:17.365405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.14771/citation-record","integrity":"/paper/2409.14771/integrity","json":"/paper/2409.14771/citation-record.json","paper":"/paper/2409.14771"},"outbound":[],"paper":{"arxiv_id":"2409.14771","last_updated":"2024-09-23T07:39:01Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T00:29:12.636736Z","submitted_at":"2024-09-23T07:39:01Z","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.14771."}