{"as_of":"2026-08-09T19:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9cf24959ebb9082bdebd02e321e7c88fae8cf08e9570ffa08cdc891559b605ed","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T16:37:25.976866Z","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":"2026-05-19T03:52:01.642819Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-09T16:37:25.976866Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01105","last_updated":"2025-08-13T17:32:12Z","snapshot_observed_at":"2026-08-09T16:30:48.628851Z","submitted_at":"2025-02-03T06:49:58Z","title":"LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-09T16:37:25.976866Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2502.01105"},"observation_digest":"sha256:5162451e9d03ab94d0f9f08a5614cae7b068d30a21b3f8c2f80cada5020c2302","observation_id":"9347d8cb-b7df-4db5-8040-b3a61a3411c4","resolution":{"observed_at":"2026-08-09T16:37:25.976866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-09T14:57:58.141487Z","title":"Stable-makeup: When real-world makeup transfer meets diffusion model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01572","last_updated":"2025-02-05T02:44:42Z","snapshot_observed_at":"2026-08-09T14:52:38.134111Z","submitted_at":"2025-02-03T17:55:30Z","title":"MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-09T14:57:58.141487Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2502.01572"},"observation_digest":"sha256:c34947f029785b73cc55c94b2e55d984202b31b159bb0cebf98124ae1cc1fd19","observation_id":"2d7ee338-ef0c-47fb-86c5-923bf2923bb0","resolution":{"observed_at":"2026-08-09T14:57:58.141487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-07T14:34:10.129619Z","title":"Stable-makeup: When real-world makeup transfer meets diffusion model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18445","last_updated":"2025-05-24T01:00:20Z","snapshot_observed_at":"2026-08-09T14:50:47.279582Z","submitted_at":"2025-05-24T01:00:20Z","title":"OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:10.129619Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2505.18445"},"observation_digest":"sha256:df3e2a4cc03b0030c225fb03679f0be512c9eb6bc2813afcf354e62a836c4979","observation_id":"ad24e55a-e3e4-4cc8-b668-a5a9ee6efd4e","resolution":{"observed_at":"2026-08-07T14:34:10.129619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-07T12:06:40.426058Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00562","last_updated":"2025-05-31T13:39:45Z","snapshot_observed_at":"2026-08-09T09:24:51.632807Z","submitted_at":"2025-05-31T13:39:45Z","title":"SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:40.426058Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2506.00562"},"observation_digest":"sha256:feff8371284811d7006c019c19640a82a67522f69704013ca1749818e09017fa","observation_id":"b5e61b70-23b9-419c-9617-c883f781029e","resolution":{"observed_at":"2026-08-07T12:06:40.426058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-07T11:57:35.234819Z","title":"Stable-makeup: When real-world makeup transfer meets diffusion model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01011","last_updated":"2025-06-01T13:44:20Z","snapshot_observed_at":"2026-08-09T13:58:44.317972Z","submitted_at":"2025-06-01T13:44:20Z","title":"Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:57:35.234819Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2506.01011"},"observation_digest":"sha256:e9da3464a048cce1820dc315c06e4fe6526165d69d0e3169078fcedcd72627ec","observation_id":"7b95466d-ddd4-44c0-9d23-aefba0c7b89c","resolution":{"observed_at":"2026-08-07T11:57:35.234819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-07T11:26:30.361206Z","title":"Stable-makeup: When real-world makeup transfer meets diffusion model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02528","last_updated":"2025-06-03T07:06:35Z","snapshot_observed_at":"2026-08-09T09:19:35.331602Z","submitted_at":"2025-06-03T07:06:35Z","title":"RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T11:26:30.361206Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2506.02528"},"observation_digest":"sha256:496ec92bd8d39ceafd2ade96bc45e4bd0e030f62d3f5b2d549e80082dc1514c1","observation_id":"d9cdf82b-3356-4a27-950d-6203140bf0a7","resolution":{"observed_at":"2026-08-07T11:26:30.361206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-06T20:34:43.697198Z","title":"Stable-makeup: When real-world makeup transfer meets diffusion model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02419","last_updated":"2025-07-07T11:53:32Z","snapshot_observed_at":"2026-08-09T08:06:33.671616Z","submitted_at":"2025-07-03T08:26:57Z","title":"AvatarMakeup: Realistic Makeup Transfer for 3D Animatable Head Avatars","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:34:43.697198Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2507.02419"},"observation_digest":"sha256:e48a792567dc1ce203a5fb0e1c7005fb477b28cb7015f0b8e803cd0eeca0ef06","observation_id":"3b6e9bc8-9514-43c4-8bb1-380af316d577","resolution":{"observed_at":"2026-08-06T20:34:43.697198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":"2403.07764","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stable- makeup: When real-world makeup transfer meets diffusion model","venue":null,"work_id":"13d6dbfb-e38f-47ea-aa9c-e1175737887f","year":2024},"citing_paper":{"arxiv_id":"2507.13292","last_updated":"2026-04-13T16:03:40Z","snapshot_observed_at":"2026-07-06T21:58:51.796148Z","submitted_at":"2025-07-17T16:58:02Z","title":"DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-19T03:47:29.534356Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2507.13292"},"observation_digest":"sha256:f8b13cc462e62a78232f598f20f02fa51f9f14f5ec9a8e79524dcfff74712f4b","observation_id":"a6cb417d-5043-4065-bf97-3d932fec88e7","resolution":{"observed_at":"2026-05-19T03:52:01.644650Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-06T04:38:55.788254Z","title":"Stable- Makeup: When real-world makeup transfer meets diffusion model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03241","last_updated":"2025-08-06T14:28:01Z","snapshot_observed_at":"2026-08-09T18:09:45.317473Z","submitted_at":"2025-08-05T09:16:43Z","title":"FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T04:38:55.788254Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2508.03241"},"observation_digest":"sha256:6563b14a39aed40ef42d5b5117301acc8911aa7e3ca4f0e0d4680d0b3cd72289","observation_id":"4cafd06f-d2bf-4beb-b2eb-fce4e568cb4a","resolution":{"observed_at":"2026-08-06T04:38:55.788254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-05T23:02:27.528525Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.05994","last_updated":"2025-08-08T04:00:45Z","snapshot_observed_at":"2026-08-07T22:09:58.661579Z","submitted_at":"2025-08-08T04:00:45Z","title":"EvoMakeup: High-Fidelity and Controllable Makeup Editing with MakeupQuad","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T23:02:27.528525Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2508.05994"},"observation_digest":"sha256:4b6cde6333fbfc73b2d0fa8a31f9b94f57eddf122df84ad8cdba7347ec9ca4d8","observation_id":"6882870a-39ee-442c-b484-2efc4c031f72","resolution":{"observed_at":"2026-08-05T23:02:27.528525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-08-05T11:40:08.391078Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02445","last_updated":"2025-09-04T21:00:18Z","snapshot_observed_at":"2026-08-09T14:51:34.383859Z","submitted_at":"2025-09-02T15:52:56Z","title":"Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T11:40:08.391078Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2509.02445"},"observation_digest":"sha256:edb377d126ff1af06b7f6e26bf1be5655af68584c5f452df172359cec3b7ca0b","observation_id":"12aa91e2-ac33-4600-85c9-7d0d5d1bf07d","resolution":{"observed_at":"2026-08-05T11:40:08.391078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","version":2},"cited_work":{"arxiv_id":"2403.07764","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.07764","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stable- makeup: When real-world makeup transfer meets diffusion model","venue":null,"work_id":"13d6dbfb-e38f-47ea-aa9c-e1175737887f","year":2024},"citing_paper":{"arxiv_id":"2509.04434","last_updated":"2026-04-06T12:49:32Z","snapshot_observed_at":"2026-07-06T22:24:08.755254Z","submitted_at":"2025-09-04T17:53:03Z","title":"Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-18T18:36:03.018873Z"},"links":{"cited_paper":"/paper/2403.07764","citing_paper":"/paper/2509.04434"},"observation_digest":"sha256:351ae4b60be2745953416191e28279ccaebd347a179b73c962224a17b257a948","observation_id":"c46e4e6f-3b32-419e-bb98-d9f15669fd87","resolution":{"observed_at":"2026-05-18T18:36:44.027029Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.07764/citation-record","integrity":"/paper/2403.07764/integrity","json":"/paper/2403.07764/citation-record.json","paper":"/paper/2403.07764"},"outbound":[],"paper":{"arxiv_id":"2403.07764","last_updated":"2025-04-01T08:37:38Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T15:53:14Z","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.07764."}