{"as_of":"2026-08-15T11:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8bd95f2817f7a7dbacd2fd4fb03ed91e0485dfdbb598693d71e3e6cdb34b3deb","coverage":[{"denominator":5,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T23:47:01.059500Z","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":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T15:19:02.421080Z","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":"2026-05-11T10:46:05.393957Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.04050","last_updated":"2025-06-27T07:57:09Z","snapshot_observed_at":"2026-08-15T03:58:07.313234Z","submitted_at":"2025-02-06T13:08:43Z","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models","version":2},"cited_work":{"arxiv_id":"2502.04050","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.04050","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"PartEdit: Fine-grained image editing using pre-trained diffusion models","venue":null,"work_id":"d4a19468-1292-41ea-8424-cbbb51d8a9be","year":2025},"citing_paper":{"arxiv_id":"2605.01789","last_updated":"2026-05-03T09:10:23Z","snapshot_observed_at":"2026-07-06T23:14:57.459903Z","submitted_at":"2026-05-03T09:10:23Z","title":"DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T15:19:02.421080Z"},"links":{"cited_paper":"/paper/2502.04050","citing_paper":"/paper/2605.01789"},"observation_digest":"sha256:85e2c427a34b9a32bad6c73627a38a08410cae7a207fd8ad867e9ccda80dfef6","observation_id":"dcce802e-3ff9-4693-8a93-0a2be424c8fa","resolution":{"observed_at":"2026-05-11T10:46:05.396954Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.04050/citation-record","integrity":"/paper/2502.04050/integrity","json":"/paper/2502.04050/citation-record.json","paper":"/paper/2502.04050"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.15278","last_updated":"2025-02-27T10:18:59Z","snapshot_observed_at":"2026-08-14T13:35:18.417621Z","submitted_at":"2024-09-23T17:59:46Z","title":"PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15278","snapshot_observed_at":"2026-08-08T23:47:01.049511Z","title":"In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04050","last_updated":"2025-06-27T07:57:09Z","snapshot_observed_at":"2026-08-15T03:58:07.313234Z","submitted_at":"2025-02-06T13:08:43Z","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T23:47:01.049511Z"},"links":{"cited_paper":"/paper/2409.15278","citing_paper":"/paper/2502.04050"},"observation_digest":"sha256:8bfa8b51a8afda908566f3f4ed31ca865a8f48f27113347b20e6ee0e410877af","observation_id":"427ce6c7-8ae5-4bb7-986f-972970b1c81f","resolution":{"observed_at":"2026-08-08T23:47:01.049511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-08T23:47:01.059500Z","title":"young” and “old","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04050","last_updated":"2025-06-27T07:57:09Z","snapshot_observed_at":"2026-08-15T03:58:07.313234Z","submitted_at":"2025-02-06T13:08:43Z","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T23:47:01.059500Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2502.04050"},"observation_digest":"sha256:98ce610cad61091034afa785af2188c4e093f29c44e8f225aaba7911ca903d8c","observation_id":"9cfb60eb-e637-44b2-81fa-db269345d3c8","resolution":{"observed_at":"2026-08-08T23:47:01.059500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T23:47:01.139560Z","title":"In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"a21150ea-df27-4f84-9d63-300460c87c2d","year":null},"citing_paper":{"arxiv_id":"2502.04050","last_updated":"2025-06-27T07:57:09Z","snapshot_observed_at":"2026-08-15T03:58:07.313234Z","submitted_at":"2025-02-06T13:08:43Z","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-08T23:47:01.054750Z"},"links":{"citing_paper":"/paper/2502.04050"},"observation_digest":"sha256:604b57b5abf041b49f34e3d653f748f5048730ba121832bfdf146650ea14709a","observation_id":"749a11ee-eacc-4997-bb9f-e7fd7d7ed711","resolution":{"observed_at":"2026-08-08T23:47:01.146190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T23:47:01.157146Z","title":"In Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"3fb00c0c-a7fa-45fd-8e5d-bb88a67195f7","year":2023},"citing_paper":{"arxiv_id":"2502.04050","last_updated":"2025-06-27T07:57:09Z","snapshot_observed_at":"2026-08-15T03:58:07.313234Z","submitted_at":"2025-02-06T13:08:43Z","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-08T23:47:01.044436Z"},"links":{"citing_paper":"/paper/2502.04050"},"observation_digest":"sha256:812bb6955f561964f233f331b4b34ea9f22e92f0fda26273a7906f73dd0a3347","observation_id":"8a9d6b4e-038d-4211-8e01-594db87e811a","resolution":{"observed_at":"2026-08-08T23:47:01.162029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00735","last_updated":"2024-08-01T17:27:28Z","snapshot_observed_at":"2026-08-15T10:12:04.563197Z","submitted_at":"2024-08-01T17:27:28Z","title":"TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00735","snapshot_observed_at":"2026-08-08T23:47:01.038331Z","title":"arXiv:2408.00735 [cs.CV] https://arxiv.org/abs/2408.00735 Ivan Donadello and Luciano Serafini","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.04050","last_updated":"2025-06-27T07:57:09Z","snapshot_observed_at":"2026-08-15T03:58:07.313234Z","submitted_at":"2025-02-06T13:08:43Z","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-08T23:47:01.038331Z"},"links":{"cited_paper":"/paper/2408.00735","citing_paper":"/paper/2502.04050"},"observation_digest":"sha256:95b3cd4bda46caf28a20061830ac9074d036334c60c9f92d151c5035adeac057","observation_id":"aa5c68cf-f810-40b4-96c7-e608ad0dca96","resolution":{"observed_at":"2026-08-08T23:47:01.038331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.04050","last_updated":"2025-06-27T07:57:09Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T03:58:07.313234Z","submitted_at":"2025-02-06T13:08:43Z","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models"},"reference_resolution":{"displayed":5,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":5},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2502.04050."}