{"as_of":"2026-08-14T19:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:32f16820680d724d9e3034ba353c0043a51f75218f6327da942f0d7e4de52f4e","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:50:28.777021Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness","version":1},"cited_work":{"arxiv_id":"2502.18489","doi":"10.48550/arxiv.2502.18489","metadata_source":"pith","pith_arxiv_id":"2502.18489","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm4effi: Leveraging large language models to enhance code effi- ciency and correctness","venue":"cs.SE","work_id":"96cfe6bf-bed2-41c3-8192-599b036e173d","year":2025},"citing_paper":{"arxiv_id":"2505.13766","last_updated":"2026-04-28T00:23:13Z","snapshot_observed_at":"2026-08-13T10:22:54.332343Z","submitted_at":"2025-05-19T22:49:30Z","title":"A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards","version":5},"reference_index":138,"source":"pdf_text","source_observed_at":"2026-05-22T13:45:28.789452Z"},"links":{"cited_paper":"/paper/2502.18489","citing_paper":"/paper/2505.13766"},"observation_digest":"sha256:cbc4f6352b63fb9aaaff6b527cb7962ea7e04805e9fc9c7c8518b9144e5b58f0","observation_id":"7d447b74-4f3a-474a-9b20-3de2a624ce31","resolution":{"observed_at":"2026-05-22T13:46:37.275149Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18489","snapshot_observed_at":"2026-08-07T12:50:28.777021Z","title":"Llm4effi: Leveraging large language models to enhance code efficiency and correctness","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23387","last_updated":"2025-06-03T09:55:22Z","snapshot_observed_at":"2026-08-13T02:06:56.987179Z","submitted_at":"2025-05-29T12:14:29Z","title":"Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T12:50:28.777021Z"},"links":{"cited_paper":"/paper/2502.18489","citing_paper":"/paper/2505.23387"},"observation_digest":"sha256:20a8b4a7ac40fc21ae860be3b268e8a5a378063a0a9cf55a166527c061863f80","observation_id":"b7813645-9f34-4a7b-b5ea-f2014113db0f","resolution":{"observed_at":"2026-08-07T12:50:28.777021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18489","snapshot_observed_at":"2026-08-06T19:09:34.091736Z","title":"LLM4EFFI: Leveraging large language models to enhance code ef- ficiency and correctness,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06463","last_updated":"2025-08-28T14:22:23Z","snapshot_observed_at":"2026-08-14T09:08:21.063146Z","submitted_at":"2025-07-09T00:46:30Z","title":"Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:09:34.091736Z"},"links":{"cited_paper":"/paper/2502.18489","citing_paper":"/paper/2507.06463"},"observation_digest":"sha256:1e063b275b10ae0c60923258d4f4f855775ba94245fb5f332df77a4e6cc085ba","observation_id":"5406a1ba-6d88-42f0-83ba-a0f6570c21ac","resolution":{"observed_at":"2026-08-06T19:09:34.091736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness","version":1},"cited_work":{"arxiv_id":"2502.18489","doi":"10.48550/arxiv.2502.18489","metadata_source":"pith","pith_arxiv_id":"2502.18489","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm4effi: Leveraging large language models to enhance code effi- ciency and correctness","venue":"cs.SE","work_id":"96cfe6bf-bed2-41c3-8192-599b036e173d","year":2025},"citing_paper":{"arxiv_id":"2606.00708","last_updated":"2026-05-30T12:31:13Z","snapshot_observed_at":"2026-08-03T17:40:13.239105Z","submitted_at":"2026-05-30T12:31:13Z","title":"MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T18:35:41.603044Z"},"links":{"cited_paper":"/paper/2502.18489","citing_paper":"/paper/2606.00708"},"observation_digest":"sha256:a5f93a35306e74c4065f5adab254b4ee669e13403c0c9e1e12c355ca74e2cbdb","observation_id":"37018bf0-8a6c-47bb-989b-fdd9321ad3a4","resolution":{"observed_at":"2026-06-28T20:32:37.721275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness","version":1},"cited_work":{"arxiv_id":"2502.18489","doi":"10.48550/arxiv.2502.18489","metadata_source":"pith","pith_arxiv_id":"2502.18489","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm4effi: Leveraging large language models to enhance code effi- ciency and correctness","venue":"cs.SE","work_id":"96cfe6bf-bed2-41c3-8192-599b036e173d","year":2025},"citing_paper":{"arxiv_id":"2606.06821","last_updated":"2026-06-05T01:49:20Z","snapshot_observed_at":"2026-08-12T16:50:42.739195Z","submitted_at":"2026-06-05T01:49:20Z","title":"Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-27T21:43:14.839335Z"},"links":{"cited_paper":"/paper/2502.18489","citing_paper":"/paper/2606.06821"},"observation_digest":"sha256:963ac66df791349210260edcf8a725c21f3522b5041628a35d12bc451068fe18","observation_id":"952346cb-5747-4bbe-b123-dd57658c4324","resolution":{"observed_at":"2026-07-02T18:57:17.239886Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness","version":1},"cited_work":{"arxiv_id":"2502.18489","doi":"10.48550/arxiv.2502.18489","metadata_source":"pith","pith_arxiv_id":"2502.18489","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm4effi: Leveraging large language models to enhance code effi- ciency and correctness","venue":"cs.SE","work_id":"96cfe6bf-bed2-41c3-8192-599b036e173d","year":2025},"citing_paper":{"arxiv_id":"2606.06826","last_updated":"2026-06-05T02:01:38Z","snapshot_observed_at":"2026-08-07T19:01:41.755123Z","submitted_at":"2026-06-05T02:01:38Z","title":"SkelDPO: A Skeleton-Guided Direct Preference Optimization Framework for Efficient Code Generation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-27T21:41:02.035059Z"},"links":{"cited_paper":"/paper/2502.18489","citing_paper":"/paper/2606.06826"},"observation_digest":"sha256:f24b90b623a701bc42045ea86cb51b39e04357944b4d0e27377c068b67777228","observation_id":"136f710f-61a1-4778-b37e-24371f783afd","resolution":{"observed_at":"2026-07-02T19:07:17.680218Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness","version":1},"cited_work":{"arxiv_id":"2502.18489","doi":"10.48550/arxiv.2502.18489","metadata_source":"pith","pith_arxiv_id":"2502.18489","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Llm4effi: Leveraging large language models to enhance code effi- ciency and correctness","venue":"cs.SE","work_id":"96cfe6bf-bed2-41c3-8192-599b036e173d","year":2025},"citing_paper":{"arxiv_id":"2607.07619","last_updated":"2026-07-08T16:36:03Z","snapshot_observed_at":"2026-08-12T12:58:27.355007Z","submitted_at":"2026-07-08T16:36:03Z","title":"Rethinking Code Performance Benchmarks for LLMs","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-09T05:16:58.549058Z"},"links":{"cited_paper":"/paper/2502.18489","citing_paper":"/paper/2607.07619"},"observation_digest":"sha256:e7611175a1cd999d61f8edbf96444a93ce9c861f290a04e710146ee7425c9da0","observation_id":"4b7d47f7-e172-4a6e-8beb-f6c2375c95b2","resolution":{"observed_at":"2026-07-09T05:26:01.122754Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:31.588021+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.18489/citation-record","integrity":"/paper/2502.18489/integrity","json":"/paper/2502.18489/citation-record.json","paper":"/paper/2502.18489"},"outbound":[],"paper":{"arxiv_id":"2502.18489","last_updated":"2025-02-17T07:01:18Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-07T18:13:31.005755Z","submitted_at":"2025-02-17T07:01:18Z","title":"LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.18489."}