{"as_of":"2026-08-10T13:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:24d51795b296c38cfb578abd8f483b32d3ddbc93f9191c90a0a7bae0fac63f08","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":"2026-08-10T06:31:04.303077+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":"2026-07-11T16:26:39.443485Z","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":"2026-05-23T07:42:43.256819Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.15838","last_updated":"2024-08-07T09:34:25Z","snapshot_observed_at":"2026-08-02T08:08:27.435778Z","submitted_at":"2024-07-22T17:55:22Z","title":"MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity","version":2},"cited_work":{"arxiv_id":"2407.15838","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.15838","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MMInstruct: A High-Quality Multi-Modal In- struction Tuning Dataset with Extensive Diversity","venue":null,"work_id":"32ac1294-1781-4556-a4ac-d17d7a968cc5","year":2024},"citing_paper":{"arxiv_id":"2411.10442","last_updated":"2025-04-07T09:09:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-15T18:59:27Z","title":"Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-16T09:16:17.150383Z"},"links":{"cited_paper":"/paper/2407.15838","citing_paper":"/paper/2411.10442"},"observation_digest":"sha256:53bc46b73654a4b972590938a0def62434f1bd84bf54eb7d9a2900157ac23e38","observation_id":"f53b32f5-49fb-48a7-bd6d-28a01084d4b9","resolution":{"observed_at":"2026-05-16T09:16:17.296232Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15838","last_updated":"2024-08-07T09:34:25Z","snapshot_observed_at":"2026-08-02T08:08:27.435778Z","submitted_at":"2024-07-22T17:55:22Z","title":"MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity","version":2},"cited_work":{"arxiv_id":"2407.15838","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.15838","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MMInstruct: A High-Quality Multi-Modal In- struction Tuning Dataset with Extensive Diversity","venue":null,"work_id":"32ac1294-1781-4556-a4ac-d17d7a968cc5","year":2024},"citing_paper":{"arxiv_id":"2412.04468","last_updated":"2026-04-25T07:16:42Z","snapshot_observed_at":"2026-08-03T08:48:57.969106Z","submitted_at":"2024-12-05T18:59:55Z","title":"NVILA: Efficient Frontier Visual Language Models","version":3},"reference_index":134,"source":"pdf_text","source_observed_at":"2026-05-23T07:42:22.478647Z"},"links":{"cited_paper":"/paper/2407.15838","citing_paper":"/paper/2412.04468"},"observation_digest":"sha256:9966833a69e14b723b34bde09151ef44a1f4c467a1f57d3682f2e94b6b6f9f33","observation_id":"a62cd4bd-6a40-419a-a9ce-6c7d5333cd4b","resolution":{"observed_at":"2026-05-23T07:42:43.260897Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15838","last_updated":"2024-08-07T09:34:25Z","snapshot_observed_at":"2026-08-02T08:08:27.435778Z","submitted_at":"2024-07-22T17:55:22Z","title":"MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity","version":2},"cited_work":{"arxiv_id":"2407.15838","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.15838","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"MMInstruct: A High-Quality Multi-Modal In- struction Tuning Dataset with Extensive Diversity","venue":null,"work_id":"32ac1294-1781-4556-a4ac-d17d7a968cc5","year":2024},"citing_paper":{"arxiv_id":"2412.05271","last_updated":"2025-09-26T12:52:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-06T18:57:08Z","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","version":5},"reference_index":155,"source":"pdf_text","source_observed_at":"2026-05-10T13:23:57.588851Z"},"links":{"cited_paper":"/paper/2407.15838","citing_paper":"/paper/2412.05271"},"observation_digest":"sha256:413b33ee06ab4049af229c2d1bb4f442a09fe1bb855e92d28969fec4d36c6689","observation_id":"4b345276-fc7c-4aca-a570-9acb0cec36b8","resolution":{"observed_at":"2026-05-10T13:23:57.716748Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15838","last_updated":"2024-08-07T09:34:25Z","snapshot_observed_at":"2026-08-02T08:08:27.435778Z","submitted_at":"2024-07-22T17:55:22Z","title":"MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15838","snapshot_observed_at":"2026-07-11T16:26:39.443485Z","title":"arXiv preprint arXiv:2407.15838 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04612","last_updated":"2026-07-06T02:37:22Z","snapshot_observed_at":"2026-08-06T16:33:39.351941Z","submitted_at":"2026-07-06T02:37:22Z","title":"StructuredEdit: Constraint-Aware Graphic Design Editing via Differentiable Parameter Propagation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-11T16:26:39.443485Z"},"links":{"cited_paper":"/paper/2407.15838","citing_paper":"/paper/2607.04612"},"observation_digest":"sha256:40e32c53640430d9cfca40fa7aacc91d9f4d66300421ab10926aa5d98ef81ffe","observation_id":"219ad914-6752-4049-84d9-0a3b85135f2b","resolution":{"observed_at":"2026-07-11T16:26:39.443485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.15838/citation-record","integrity":"/paper/2407.15838/integrity","json":"/paper/2407.15838/citation-record.json","paper":"/paper/2407.15838"},"outbound":[],"paper":{"arxiv_id":"2407.15838","last_updated":"2024-08-07T09:34:25Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T08:08:27.435778Z","submitted_at":"2024-07-22T17:55:22Z","title":"MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.15838."}