{"as_of":"2026-08-08T23:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:203742566d1779f6df6134f492283f378fbe9a9a1a8c3bd655830b7eb70b0dcb","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T12:35:27.504273Z","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":"2026-05-15T00:33:23.421713Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.15960","last_updated":"2025-03-30T09:32:03Z","snapshot_observed_at":"2026-08-06T08:26:39.975858Z","submitted_at":"2023-12-26T08:49:57Z","title":"MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15960","snapshot_observed_at":"2026-08-07T12:35:27.504273Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24461","last_updated":"2025-06-11T16:40:39Z","snapshot_observed_at":"2026-08-07T12:19:15.748531Z","submitted_at":"2025-05-30T10:57:09Z","title":"Logits-Based Finetuning","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:27.504273Z"},"links":{"cited_paper":"/paper/2312.15960","citing_paper":"/paper/2505.24461"},"observation_digest":"sha256:540e89d9936dc834027ea3e101c7c87e2f95e3454dc196575b7fd0eb59464920","observation_id":"9a6bbefa-3390-4f52-b281-2a48912fe05f","resolution":{"observed_at":"2026-08-07T12:35:27.504273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15960","last_updated":"2025-03-30T09:32:03Z","snapshot_observed_at":"2026-08-06T08:26:39.975858Z","submitted_at":"2023-12-26T08:49:57Z","title":"MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks","version":5},"cited_work":{"arxiv_id":"2312.15960","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.15960","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Motcoder: Elevating large language models with modular of thought for challenging programming tasks","venue":null,"work_id":"ff14a5b8-0331-41ce-9ea0-c7d9950be8ed","year":2023},"citing_paper":{"arxiv_id":"2604.03282","last_updated":"2026-03-24T16:19:05Z","snapshot_observed_at":"2026-07-06T22:52:29.705312Z","submitted_at":"2026-03-24T16:19:05Z","title":"Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-15T00:30:09.758339Z"},"links":{"cited_paper":"/paper/2312.15960","citing_paper":"/paper/2604.03282"},"observation_digest":"sha256:968ecd322c9eecae7b17df96e64e30066c9f3d2a0874106583b2b13067377fae","observation_id":"edef1191-cf60-451a-9a44-a9c8275e460d","resolution":{"observed_at":"2026-05-15T00:33:23.423335Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.15960/citation-record","integrity":"/paper/2312.15960/integrity","json":"/paper/2312.15960/citation-record.json","paper":"/paper/2312.15960"},"outbound":[],"paper":{"arxiv_id":"2312.15960","last_updated":"2025-03-30T09:32:03Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T08:26:39.975858Z","submitted_at":"2023-12-26T08:49:57Z","title":"MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.15960."}