{"as_of":"2026-08-09T02:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04f23116dfc8812b54a289c2212bb3337df9083fd2c86089893ecc2ba7939fe2","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":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T12:49:57.589250Z","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":"2026-07-04T03:29:31.006631Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-08T12:49:57.589250Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07466","last_updated":"2025-02-11T11:17:39Z","snapshot_observed_at":"2026-08-08T12:35:42.604786Z","submitted_at":"2025-02-11T11:17:39Z","title":"Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T12:49:57.589250Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2502.07466"},"observation_digest":"sha256:c3b8c365bc6457e16d7db5f824fc1e5fc36dd245080a1f0e93ed755aa4c3d796","observation_id":"fd74cd97-3400-4bdb-8f60-388023134a53","resolution":{"observed_at":"2026-08-08T12:49:57.589250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-07T22:46:36.546794Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09064","last_updated":"2025-02-13T08:26:54Z","snapshot_observed_at":"2026-08-07T22:41:02.154445Z","submitted_at":"2025-02-13T08:26:54Z","title":"StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T22:46:36.546794Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2502.09064"},"observation_digest":"sha256:7b1173adc221bf4dd09bfe484d56c420a89d24055331e23b5500c278ee010826","observation_id":"ccbd226e-f3e3-4d92-83d8-29bc4dfcc8e0","resolution":{"observed_at":"2026-08-07T22:46:36.546794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-07T15:43:15.855483Z","title":"Csgo: Content-style composition in text-to-image genera- tion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14028","last_updated":"2025-05-20T07:29:21Z","snapshot_observed_at":"2026-08-08T14:58:50.166431Z","submitted_at":"2025-05-20T07:29:21Z","title":"OmniStyle: Filtering High Quality Style Transfer Data at Scale","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T15:43:15.855483Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2505.14028"},"observation_digest":"sha256:f10055bc25afa4c7412d2e09e61dccf8c92c0d15af6ca8a9b7738b53080dc1bc","observation_id":"d7704aa5-456d-4e34-8503-9f5cdddf4d56","resolution":{"observed_at":"2026-08-07T15:43:15.855483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-07T13:06:21.888317Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22663","last_updated":"2025-07-01T17:38:27Z","snapshot_observed_at":"2026-08-08T13:01:21.600801Z","submitted_at":"2025-05-28T17:59:57Z","title":"Training Free Stylized Abstraction","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:21.888317Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2505.22663"},"observation_digest":"sha256:caa0900c7bdd17ebaccb7f09a1f9a58663aec56bd892d4079eb8118ac373ff16","observation_id":"d4ae58b0-dd0e-4c0e-92df-a9e5ebf43895","resolution":{"observed_at":"2026-08-07T13:06:21.888317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-07T05:25:44.495435Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07977","last_updated":"2025-06-26T15:47:09Z","snapshot_observed_at":"2026-08-08T13:17:27.662964Z","submitted_at":"2025-06-09T17:50:21Z","title":"OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T05:25:44.495435Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2506.07977"},"observation_digest":"sha256:185a05552243fce1c5ec8e084ae2d18364c267240d5794ae4fa7fa88a810d7a9","observation_id":"739d742f-a702-4a60-95fa-849647ae7b45","resolution":{"observed_at":"2026-08-07T05:25:44.495435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-07T14:55:40.515681Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13770","last_updated":"2026-07-03T10:16:35Z","snapshot_observed_at":"2026-08-08T16:35:50.817801Z","submitted_at":"2025-05-22T18:44:48Z","title":"CDST: Color Disentangled Style Transfer for Universal Style Reference Customization","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:55:40.515681Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2506.13770"},"observation_digest":"sha256:3a468b5668affba82531c06047fd73dd8056b5fa4630f5b11b8b1aed4ec37498","observation_id":"b4e8632b-2c71-4c4d-a75a-649e3b00087f","resolution":{"observed_at":"2026-08-07T14:55:40.515681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-06T23:13:28.452290Z","title":"Csgo: Content-style composition in text-to-image generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19278","last_updated":"2025-06-24T03:17:18Z","snapshot_observed_at":"2026-08-08T11:53:58.849916Z","submitted_at":"2025-06-24T03:17:18Z","title":"Style Transfer: A Decade Survey","version":1},"reference_index":271,"source":"pdf_text","source_observed_at":"2026-08-06T23:13:28.452290Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2506.19278"},"observation_digest":"sha256:f419928d60f8db037f7ea310b0efaa6f4f6e4a07ba5fd8a8bec373b8ea1f34b8","observation_id":"1fa51eeb-8683-44b8-9958-029bf1497f6b","resolution":{"observed_at":"2026-08-06T23:13:28.452290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-06T13:26:22.600368Z","title":"CSGO: content-style composition in text-to-image genera- tion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20721","last_updated":"2025-07-28T11:19:14Z","snapshot_observed_at":"2026-08-08T04:35:17.598540Z","submitted_at":"2025-07-28T11:19:14Z","title":"AIComposer: Any Style and Content Image Composition via Feature Integration","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:22.600368Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2507.20721"},"observation_digest":"sha256:5ba4253379b49ec895c786b3dd7cccabe02f37455cb6605da0cebb2714f4f6ea","observation_id":"5a739d00-6a48-45a9-92d5-1d379355b921","resolution":{"observed_at":"2026-08-06T13:26:22.600368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-05T16:07:24.723979Z","title":"Csgo: Content-style composition in text-to-image generation.arXiv preprint arXiv:2408.16766, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.18966","last_updated":"2025-08-26T12:10:24Z","snapshot_observed_at":"2026-08-08T19:42:41.156417Z","submitted_at":"2025-08-26T12:10:24Z","title":"USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T16:07:24.723979Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2508.18966"},"observation_digest":"sha256:7ab12d71b4916e6189a8d1dca6d2489e1a138823705e8f6c23dbf18696c3933d","observation_id":"986665d2-9465-4df2-9dcb-8fd911f9237f","resolution":{"observed_at":"2026-08-05T16:07:24.723979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2408.16766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-04T03:29:31.006631Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":"2d549d48-ea44-4f39-9f63-1a5ab0de2dc4","year":2024},"citing_paper":{"arxiv_id":"2511.11051","last_updated":"2026-05-22T01:46:51Z","snapshot_observed_at":"2026-08-03T00:41:31.601511Z","submitted_at":"2025-11-14T08:06:01Z","title":"NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-25T07:58:25.211030Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2511.11051"},"observation_digest":"sha256:1bbdf6ff6892e0ad85f92206e73d16ecf29e3198f9914ac9b30e647f1a2fb6e0","observation_id":"67fc558e-15b5-441f-a3b4-a24a2ed12fc9","resolution":{"observed_at":"2026-05-25T08:00:29.686661Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-04T06:47:10.328950Z","title":"Csgo: Content-style composition in text-to-image genera- tion.arXiv preprint arXiv:2408.16766, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.20635","last_updated":"2026-08-02T05:27:14Z","snapshot_observed_at":"2026-08-08T05:22:59.737639Z","submitted_at":"2025-11-25T18:54:16Z","title":"iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T06:47:10.328950Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2511.20635"},"observation_digest":"sha256:b52d2f4530a3183b1f8a0cc8919a09320e3fdca90910f0c3c1f9b1984503d8cf","observation_id":"0dfa7745-8b8d-4803-b8f7-4b5edcad2b7c","resolution":{"observed_at":"2026-08-04T06:47:10.328950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2408.16766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-04T03:29:31.006631Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":"2d549d48-ea44-4f39-9f63-1a5ab0de2dc4","year":2024},"citing_paper":{"arxiv_id":"2604.08364","last_updated":"2026-04-20T14:48:16Z","snapshot_observed_at":"2026-07-06T22:57:26.678728Z","submitted_at":"2026-04-09T15:29:08Z","title":"MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:25.679094Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2604.08364"},"observation_digest":"sha256:dc7956c650b4fb5f0e634da7066485ac3fe553702848aeed00e86cbe6c38a16d","observation_id":"522dd698-bb63-4f40-b5fa-223b5cc9851f","resolution":{"observed_at":"2026-05-11T05:51:11.164245Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2408.16766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-04T03:29:31.006631Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":"2d549d48-ea44-4f39-9f63-1a5ab0de2dc4","year":2024},"citing_paper":{"arxiv_id":"2605.12038","last_updated":"2026-05-12T12:21:11Z","snapshot_observed_at":"2026-08-03T04:49:14.402546Z","submitted_at":"2026-05-12T12:21:11Z","title":"OmniHumanoid: Streaming Cross-Embodiment Video Generation with Paired-Free Adaptation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-13T06:54:49.169238Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2605.12038"},"observation_digest":"sha256:7c18e35958f51ef101da78b6091771fb79630c350f65bc8fbdedfe79f0b2bc7d","observation_id":"928051fa-dfdd-4724-8e73-d22a89199860","resolution":{"observed_at":"2026-05-13T06:57:27.978930Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2408.16766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-04T03:29:31.006631Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":"2d549d48-ea44-4f39-9f63-1a5ab0de2dc4","year":2024},"citing_paper":{"arxiv_id":"2605.17500","last_updated":"2026-05-17T15:18:49Z","snapshot_observed_at":"2026-08-02T10:47:15.761944Z","submitted_at":"2026-05-17T15:18:49Z","title":"The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-20T14:32:21.995213Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2605.17500"},"observation_digest":"sha256:83caf274c52333cc7a73e2f225d37856eab563b10814894f2c639b7a56154ac7","observation_id":"86477e0c-c54e-4351-91ab-784b58c740c6","resolution":{"observed_at":"2026-05-20T14:33:21.333510Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2408.16766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-04T03:29:31.006631Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":"2d549d48-ea44-4f39-9f63-1a5ab0de2dc4","year":2024},"citing_paper":{"arxiv_id":"2606.01079","last_updated":"2026-05-31T07:54:26Z","snapshot_observed_at":"2026-08-02T02:09:31.741222Z","submitted_at":"2026-05-31T07:54:26Z","title":"Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-06-28T17:52:35.031504Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2606.01079"},"observation_digest":"sha256:6529326b725ae46633665ce285dad9e1b9758c7e9f104075028b8e01be59b6d9","observation_id":"ae49e853-c93e-4ed6-bf20-5fae96a9b8d2","resolution":{"observed_at":"2026-06-28T18:02:27.416305Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":"2408.16766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-04T03:29:31.006631Z","title":"Csgo: Content-style composition in text-to-image generation","venue":null,"work_id":"2d549d48-ea44-4f39-9f63-1a5ab0de2dc4","year":2024},"citing_paper":{"arxiv_id":"2606.20506","last_updated":"2026-06-18T17:24:27Z","snapshot_observed_at":"2026-08-06T10:27:18.185431Z","submitted_at":"2026-06-18T17:24:27Z","title":"FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-26T17:59:00.685869Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2606.20506"},"observation_digest":"sha256:e75e90c681fb0342dccf79f60f867339ce618e74a83ff706539fe7dc9eeb9ba4","observation_id":"c8afbbc8-1c6d-4e72-aa0e-7fe4091589b3","resolution":{"observed_at":"2026-07-04T03:29:31.009658Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-11T23:10:33.541046Z","title":"arXiv preprint arXiv:2408.16766 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03899","last_updated":"2026-07-04T14:44:06Z","snapshot_observed_at":"2026-08-08T19:28:26.365016Z","submitted_at":"2026-07-04T14:44:06Z","title":"DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-11T23:10:33.541046Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2607.03899"},"observation_digest":"sha256:c02d5e9d80b5e154cc42e5e383d588a7c0427578fb56f22d5edfca64fe781eb2","observation_id":"b09a1a3c-eb63-4f25-b0af-37b0c4467666","resolution":{"observed_at":"2026-07-11T23:10:33.541046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-14T10:49:44.320793Z","title":"arXiv preprint arxiv:2408.16766 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10560","last_updated":"2026-07-14T14:49:20Z","snapshot_observed_at":"2026-08-06T14:02:29.848888Z","submitted_at":"2026-07-12T04:26:57Z","title":"PoseAlign: Sculpting Pose-Consistent Meshes via Text-Guided Deformation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-07-14T10:49:44.320793Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2607.10560"},"observation_digest":"sha256:b65fd81659338d8ab72beb52175ea7cd879bafd5aefdfa303248e68abde2ffcb","observation_id":"fd5f3ff8-5b5a-4c82-9410-136673d8756d","resolution":{"observed_at":"2026-07-14T10:49:44.320793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-07-31T06:53:04.366469Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24721","last_updated":"2026-08-03T13:30:17Z","snapshot_observed_at":"2026-08-06T23:32:33.649103Z","submitted_at":"2026-07-27T17:55:21Z","title":"DreamStyle3D: Efficient 3D Stylized Asset Generation via Dual-Attention Disentanglement","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-31T06:53:04.366469Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2607.24721"},"observation_digest":"sha256:eb532b640b249087d6816999dd086cb14053e4439ca492f4baa5b99178bb3eed","observation_id":"37d6cdd0-42d6-405b-a40d-9eded3a3d7f3","resolution":{"observed_at":"2026-07-31T06:53:04.366469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16766","snapshot_observed_at":"2026-08-04T03:46:56.809660Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24721","last_updated":"2026-08-03T13:30:17Z","snapshot_observed_at":"2026-08-06T23:32:33.649103Z","submitted_at":"2026-07-27T17:55:21Z","title":"DreamStyle3D: Efficient 3D Stylized Asset Generation via Dual-Attention Disentanglement","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T03:46:56.809660Z"},"links":{"cited_paper":"/paper/2408.16766","citing_paper":"/paper/2607.24721"},"observation_digest":"sha256:6396ad8face08d74c54d9cd4d77f87548ed910a4e4cc70eac8863a2397b32e99","observation_id":"ae6bd669-38c0-41d6-a4b7-6c675dc36d83","resolution":{"observed_at":"2026-08-04T03:46:56.809660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.16766/citation-record","integrity":"/paper/2408.16766/integrity","json":"/paper/2408.16766/citation-record.json","paper":"/paper/2408.16766"},"outbound":[],"paper":{"arxiv_id":"2408.16766","last_updated":"2024-09-04T10:42:41Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T09:10:29.603862Z","submitted_at":"2024-08-29T17:59:30Z","title":"CSGO: Content-Style Composition in 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2408.16766."}