{"as_of":"2026-08-13T17:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9ba383f1231bcff1bb5c522c6fc9f34d50f56b346d17a190b468ea381d67e715","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T10:28:07.357591Z","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":"2026-07-03T04:57:38.074982Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-08-12T10:28:07.357591Z","title":"Au- toStudio: Crafting consistent subjects in multi-turn interactive image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19261","last_updated":"2025-03-09T13:39:55Z","snapshot_observed_at":"2026-08-13T11:42:24.309780Z","submitted_at":"2024-11-28T16:50:30Z","title":"Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T10:28:07.357591Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2411.19261"},"observation_digest":"sha256:5f669a754a05297d20bafb175d756b4690ff57c1cedfc2906a485ef61add1912","observation_id":"54804892-2456-440d-9b03-71e3244a4478","resolution":{"observed_at":"2026-08-12T10:28:07.357591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-08-11T18:45:41.125747Z","title":"Au- tostudio: Crafting consistent subjects in multi-turn interac- tive image generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.07589","last_updated":"2025-03-13T06:23:03Z","snapshot_observed_at":"2026-08-13T02:00:13.070948Z","submitted_at":"2024-12-10T15:24:12Z","title":"DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T18:45:41.125747Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2412.07589"},"observation_digest":"sha256:9e821f089a01f19774cd588078f8e95379fb8ed495636f4998018fed59eb8591","observation_id":"8953e0ff-0aab-419f-81af-be3b77de731a","resolution":{"observed_at":"2026-08-11T18:45:41.125747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-08-10T15:53:51.189938Z","title":"Autostudio: Crafting consistent subjects in multi-turn interactive image generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.13554","last_updated":"2025-02-05T10:32:22Z","snapshot_observed_at":"2026-08-13T03:26:10.955322Z","submitted_at":"2025-01-23T10:57:22Z","title":"One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T15:53:51.189938Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2501.13554"},"observation_digest":"sha256:a8613510194f9536c9252801f36d3af8259211974ec99ccf9c4497ed9164b2ff","observation_id":"8723eb07-4343-4d08-995e-03afdc83cc98","resolution":{"observed_at":"2026-08-10T15:53:51.189938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-08-09T15:06:08.897596Z","title":"Autostudio: Crafting consistent subjects in multi-turn interactive image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01522","last_updated":"2025-05-30T08:19:39Z","snapshot_observed_at":"2026-08-13T16:16:16.102559Z","submitted_at":"2025-02-03T17:00:40Z","title":"Unpaired Deblurring via Decoupled Diffusion Model","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T15:06:08.897596Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2502.01522"},"observation_digest":"sha256:99bc7968b7aa4951fa63bce6490dce505e90b90d1dbd4d969ca47f0da4994427","observation_id":"a9475043-c5e1-44eb-87a2-5a0a2977f0d5","resolution":{"observed_at":"2026-08-09T15:06:08.897596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":"2406.01388","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-07-03T04:57:38.074982Z","title":"arXiv preprint arXiv:2406.01388 , year=","venue":null,"work_id":"daf494f7-dafd-4515-b576-8a2427520661","year":2024},"citing_paper":{"arxiv_id":"2509.04123","last_updated":"2026-04-11T07:57:17Z","snapshot_observed_at":"2026-07-06T22:23:59.676849Z","submitted_at":"2025-09-04T11:37:06Z","title":"TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T19:02:01.962726Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2509.04123"},"observation_digest":"sha256:71dd19454bfb45c06c66b551c76afbdffe1292423ff6b32003a50fcf54dd9ad5","observation_id":"d90c0d8c-33b8-4061-80c3-093a0065f1b5","resolution":{"observed_at":"2026-05-18T19:02:48.744172Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":"2406.01388","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-07-03T04:57:38.074982Z","title":"arXiv preprint arXiv:2406.01388 , year=","venue":null,"work_id":"daf494f7-dafd-4515-b576-8a2427520661","year":2024},"citing_paper":{"arxiv_id":"2605.20237","last_updated":"2026-06-20T12:02:18Z","snapshot_observed_at":"2026-08-02T15:13:29.763119Z","submitted_at":"2026-05-17T07:40:20Z","title":"AnimeAdapter: A Modular Adapter for Appearance-Consistent Anime Character Generation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-21T08:44:51.204683Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2605.20237"},"observation_digest":"sha256:4c701b0385c490f889059bfe0d789a2a64786709ac48fdc40bae7a62e6d21b36","observation_id":"e9b88bf7-051b-4dfd-9e4a-47ac6c8a9050","resolution":{"observed_at":"2026-05-21T08:44:53.062145Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":"2406.01388","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-07-03T04:57:38.074982Z","title":"arXiv preprint arXiv:2406.01388 , year=","venue":null,"work_id":"daf494f7-dafd-4515-b576-8a2427520661","year":2024},"citing_paper":{"arxiv_id":"2606.10620","last_updated":"2026-06-09T09:17:55Z","snapshot_observed_at":"2026-08-12T06:15:10.899267Z","submitted_at":"2026-06-09T09:17:55Z","title":"Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T13:34:25.079037Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2606.10620"},"observation_digest":"sha256:166b33aa420752608880917ba54acba8b059bf5a6613573ee968e6ee06212171","observation_id":"1fb72d50-1f0f-492d-80c8-f5be26f1f0af","resolution":{"observed_at":"2026-07-03T04:57:38.076567Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-07-14T15:55:25.318583Z","title":"arXiv preprint arXiv:2406.01388 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09776","last_updated":"2026-07-15T15:49:55Z","snapshot_observed_at":"2026-08-10T14:41:20.847305Z","submitted_at":"2026-07-08T03:03:38Z","title":"HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-14T15:55:25.318583Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2607.09776"},"observation_digest":"sha256:f3df23eec644b2369ec3dde28710b84ffb7d1e05b2191dd7b4cd4efdf126dcc9","observation_id":"7be0e732-4273-4d9b-8208-aac41a1bad6d","resolution":{"observed_at":"2026-07-14T15:55:25.318583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-08-02T08:13:04.664475Z","title":"arXiv preprint arXiv:2406.01388 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09776","last_updated":"2026-07-15T15:49:55Z","snapshot_observed_at":"2026-08-10T14:41:20.847305Z","submitted_at":"2026-07-08T03:03:38Z","title":"HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-02T08:13:04.664475Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2607.09776"},"observation_digest":"sha256:93e98b44d227ff316c81d7c192a6e5a1a0f88a3933279a9bf4beb289d0290df6","observation_id":"76421365-f4b2-4caf-a808-7c5873281acc","resolution":{"observed_at":"2026-08-02T08:13:04.664475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01388","snapshot_observed_at":"2026-08-01T11:16:15.385850Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19947","last_updated":"2026-07-22T09:25:03Z","snapshot_observed_at":"2026-08-07T18:27:32.072726Z","submitted_at":"2026-07-22T09:25:03Z","title":"ETPDesigner: Multi-Agent Orchestration for Interactive Multimodal Electronic Theater Program","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T11:16:15.385850Z"},"links":{"cited_paper":"/paper/2406.01388","citing_paper":"/paper/2607.19947"},"observation_digest":"sha256:ae5ccf10fb4df4ef768a64d6c4cab9a0c25f5bc02028b2d94b4290c787b9b552","observation_id":"7ffb99d3-4cd7-4bb8-b723-2d39a90ce3c0","resolution":{"observed_at":"2026-08-01T11:16:15.385850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.01388/citation-record","integrity":"/paper/2406.01388/integrity","json":"/paper/2406.01388/citation-record.json","paper":"/paper/2406.01388"},"outbound":[],"paper":{"arxiv_id":"2406.01388","last_updated":"2025-05-30T13:55:44Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:51:30.138669Z","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.01388."}