{"as_of":"2026-08-07T02:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2979419347a613bcb2c47ade144126506ff2f4a6f585d2291a9f63a5f505d324","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T21:08:01.263081Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","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":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.15688","last_updated":"2024-01-30T13:05:13Z","snapshot_observed_at":"2026-07-06T17:21:30.030202Z","submitted_at":"2024-01-28T16:18:39Z","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2401.15688","doi":"10.48550/arxiv.2401.15688","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.15688","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.15688 (2024) 5","venue":"arXiv (Cornell University)","work_id":"8866b559-7626-4a3e-bc6a-ec6fdebccc49","year":2024},"citing_paper":{"arxiv_id":"2403.05135","last_updated":"2024-03-08T08:08:10Z","snapshot_observed_at":"2026-08-04T23:51:18.339338Z","submitted_at":"2024-03-08T08:08:10Z","title":"ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-11T19:43:03.310237Z"},"links":{"cited_paper":"/paper/2401.15688","citing_paper":"/paper/2403.05135"},"observation_digest":"sha256:39daee4f3868eb20865cbf57580837bc73bd30f989f34b87e5b439291f718dc7","observation_id":"c54384a2-feab-4af6-8fa8-682a9caeae27","resolution":{"observed_at":"2026-05-11T19:43:03.462129Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15688","last_updated":"2024-01-30T13:05:13Z","snapshot_observed_at":"2026-07-06T17:21:30.030202Z","submitted_at":"2024-01-28T16:18:39Z","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2401.15688","doi":"10.48550/arxiv.2401.15688","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.15688","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.15688 (2024) 5","venue":"arXiv (Cornell University)","work_id":"8866b559-7626-4a3e-bc6a-ec6fdebccc49","year":2024},"citing_paper":{"arxiv_id":"2604.19339","last_updated":"2026-04-21T11:17:09Z","snapshot_observed_at":"2026-07-06T23:06:02.635464Z","submitted_at":"2026-04-21T11:17:09Z","title":"Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T02:59:04.463697Z"},"links":{"cited_paper":"/paper/2401.15688","citing_paper":"/paper/2604.19339"},"observation_digest":"sha256:0be55fce0c2fc39db43b7ca2ed0c589b07d4c0e1bace0aadb7cb37d6ab53d8d9","observation_id":"cd6e6c3e-8c2f-4df4-bef6-5615c070f2bc","resolution":{"observed_at":"2026-05-10T03:03:36.885686Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15688","last_updated":"2024-01-30T13:05:13Z","snapshot_observed_at":"2026-07-06T17:21:30.030202Z","submitted_at":"2024-01-28T16:18:39Z","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2401.15688","doi":"10.48550/arxiv.2401.15688","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.15688","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.15688 (2024) 5","venue":"arXiv (Cornell University)","work_id":"8866b559-7626-4a3e-bc6a-ec6fdebccc49","year":2024},"citing_paper":{"arxiv_id":"2606.04015","last_updated":"2026-05-31T15:29:36Z","snapshot_observed_at":"2026-08-06T13:23:05.498601Z","submitted_at":"2026-05-31T15:29:36Z","title":"GenED-SC: Generative Editing Semantic Communication with Integrated Multi-Modal LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T16:28:30.100442Z"},"links":{"cited_paper":"/paper/2401.15688","citing_paper":"/paper/2606.04015"},"observation_digest":"sha256:9d434f78b4fadbe533ff6dc3ac5c2b61dc8e431efe8e8d9116e99ae5d261ac17","observation_id":"57666f45-4c02-4096-a716-88fb6adf9943","resolution":{"observed_at":"2026-07-01T21:46:15.005895Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15688","last_updated":"2024-01-30T13:05:13Z","snapshot_observed_at":"2026-07-06T17:21:30.030202Z","submitted_at":"2024-01-28T16:18:39Z","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2401.15688","doi":"10.48550/arxiv.2401.15688","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.15688","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.15688 (2024) 5","venue":"arXiv (Cornell University)","work_id":"8866b559-7626-4a3e-bc6a-ec6fdebccc49","year":2024},"citing_paper":{"arxiv_id":"2606.05031","last_updated":"2026-06-03T15:58:56Z","snapshot_observed_at":"2026-07-06T23:45:02.342193Z","submitted_at":"2026-06-03T15:58:56Z","title":"MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-28T06:07:06.056441Z"},"links":{"cited_paper":"/paper/2401.15688","citing_paper":"/paper/2606.05031"},"observation_digest":"sha256:3a29e6324c4eda3c5c2503d845525653686b9097d287d7f001633474d453bdb3","observation_id":"76bb28bf-5a26-45ce-a27a-de5aadb3aa0e","resolution":{"observed_at":"2026-07-02T08:16:48.445622Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15688","last_updated":"2024-01-30T13:05:13Z","snapshot_observed_at":"2026-07-06T17:21:30.030202Z","submitted_at":"2024-01-28T16:18:39Z","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2401.15688","doi":"10.48550/arxiv.2401.15688","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.15688","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.15688 (2024) 5","venue":"arXiv (Cornell University)","work_id":"8866b559-7626-4a3e-bc6a-ec6fdebccc49","year":2024},"citing_paper":{"arxiv_id":"2606.31392","last_updated":"2026-06-30T09:19:38Z","snapshot_observed_at":"2026-07-07T00:05:07.912609Z","submitted_at":"2026-06-30T09:19:38Z","title":"ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-01T05:23:21.162004Z"},"links":{"cited_paper":"/paper/2401.15688","citing_paper":"/paper/2606.31392"},"observation_digest":"sha256:27db1fc77a5d516fd14e0936c68a6962d3f2c79b1dfe092f7eab7769145896a7","observation_id":"b7bc5fc3-5521-46c0-8d92-5336b9c6a151","resolution":{"observed_at":"2026-07-01T10:35:41.892548Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15688","last_updated":"2024-01-30T13:05:13Z","snapshot_observed_at":"2026-07-06T17:21:30.030202Z","submitted_at":"2024-01-28T16:18:39Z","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15688","snapshot_observed_at":"2026-08-01T21:08:01.263081Z","title":"Divide and conquer: Language models can plan and self-correct for compositional text-to-image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.16409","last_updated":"2026-07-17T18:02:44Z","snapshot_observed_at":"2026-08-03T15:52:50.380548Z","submitted_at":"2026-07-17T18:02:44Z","title":"Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T21:08:01.263081Z"},"links":{"cited_paper":"/paper/2401.15688","citing_paper":"/paper/2607.16409"},"observation_digest":"sha256:55a896a67684200f1e8c12eef3e0641dcca227daafc4ea598ea5805044d8808c","observation_id":"16cddb43-7088-4ddf-b420-4df7f2efdd5b","resolution":{"observed_at":"2026-08-01T21:08:01.263081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.15688/citation-record","integrity":"/paper/2401.15688/integrity","json":"/paper/2401.15688/citation-record.json","paper":"/paper/2401.15688"},"outbound":[],"paper":{"arxiv_id":"2401.15688","last_updated":"2024-01-30T13:05:13Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:21:30.030202Z","submitted_at":"2024-01-28T16:18:39Z","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.15688."}