{"as_of":"2026-08-09T02:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40abf2d98bc7f8d3b800033e62a1425d4c25d80c75850f3efe31990e28493f72","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:31:40.157760Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.07750/citation-record","integrity":"/paper/2506.07750/integrity","json":"/paper/2506.07750/citation-record.json","paper":"/paper/2506.07750"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.13606","last_updated":"2021-11-26T17:10:07Z","snapshot_observed_at":"2026-08-06T16:37:51.297897Z","submitted_at":"2021-11-26T17:10:07Z","title":"Conditional Image Generation with Score-Based Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.13606","snapshot_observed_at":"2026-08-07T05:31:40.031509Z","title":"Conditional image genera- tion with score-based diffusion models.arXiv preprint arXiv:2111.13606, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.031509Z"},"links":{"cited_paper":"/paper/2111.13606","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:61dd7d871d7532fb6c5a5893bbcd9dd189eb0d19d69a8becaadb959decb05e54","observation_id":"16ede9ba-5c07-4c79-9bcb-9a63983996b3","resolution":{"observed_at":"2026-08-07T05:31:40.031509Z","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":"2026-08-07T05:31:40.530847Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":"607e2fe4-6e98-4bb1-b57b-50c50f770201","year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.035401Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:2aca0ff5358c2a486de6b0ae661222a76fc42ac28ed23af2785dcbbd712871a7","observation_id":"7ae867e8-4ae2-4b28-94da-854220287be5","resolution":{"observed_at":"2026-08-07T05:31:40.533708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.523491Z","title":"Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks","venue":null,"work_id":"33564409-5791-4507-a6a3-2bb785c28996","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.038344Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:25dceda5f063d1c283ec9b79867dd17c32ec3e9ef52fcba14f4adffe22cc3043","observation_id":"05977804-ce65-4ad2-8a51-90a0975ba60a","resolution":{"observed_at":"2026-08-07T05:31:40.526276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.516126Z","title":"General image-to-image translation with one-shot image guidance","venue":null,"work_id":"d1e7ead4-5984-47cd-b132-37ca2d4c4951","year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.041358Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:026bcd64b461f34e53df0404a86a1b2d934279bb5913c8e74fc7b29f245aee5f","observation_id":"69e02ed8-43a1-49cd-8611-569a2c5b7a45","resolution":{"observed_at":"2026-08-07T05:31:40.518912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.044389Z","title":"Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.044389Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:5062f0b43f90878143686759f15174ea596e93cda76dfa8d129f0de6457a411f","observation_id":"9f2ea283-6749-4a36-9ae6-4010dbfcc316","resolution":{"observed_at":"2026-08-07T05:31:40.044389Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T05:31:40.047471Z","title":"The llama 3 herd of models.arXiv preprint arXiv:2407.21783,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.047471Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:a10b625c2348d211be5aa3109b5aa77b56f691f82d80c6508f206296cd594280","observation_id":"a40a3014-49a3-437f-963b-033ea68bbf4e","resolution":{"observed_at":"2026-08-07T05:31:40.047471Z","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":"2026-08-07T05:31:40.505021Z","title":"Scaling recti- fied flow transformers for high-resolution image synthesis","venue":null,"work_id":"f9fe22d2-97c1-48bb-a55c-b2f394121f4d","year":null},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.050959Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:38c8975e820371c43e04ef860b3f6c3b545539ebc4044b0a688bb0331827fce6","observation_id":"56ce8883-8686-4b4e-8752-3e94e74c1859","resolution":{"observed_at":"2026-08-07T05:31:40.507772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2208.01618","last_updated":"2022-08-02T17:50:36Z","snapshot_observed_at":"2026-08-02T23:40:32.342515Z","submitted_at":"2022-08-02T17:50:36Z","title":"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01618","snapshot_observed_at":"2026-08-07T05:31:40.053832Z","title":"An image is worth one word: Personalizing text-to- image generation using textual inversion.arXiv preprint arXiv:2208.01618, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.053832Z"},"links":{"cited_paper":"/paper/2208.01618","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:d41b97cacd43218e70581e3f0c7e3251a21bf3b3eab81c58f5c63513ba4ca0bb","observation_id":"c4bc91c6-80a9-4487-b80f-1c7993cd5625","resolution":{"observed_at":"2026-08-07T05:31:40.053832Z","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":"2026-08-07T05:31:40.497685Z","title":"Photoswap: Personalized subject swapping in images.Advances in Neural Information Processing Sys- tems, 36, 2024","venue":null,"work_id":"1ef2de94-f872-45d1-b0f2-c2e8d0e9b168","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.057203Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:6d5075ac8cd368e8b4f6572baf17d8acd29c6c5dde6a54b080ef383b3419bc09","observation_id":"066954d0-2303-427c-a7b6-ffcc21a03c3b","resolution":{"observed_at":"2026-08-07T05:31:40.500430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.490270Z","title":"Analogist: Out-of-the-box visual in-context learning with image diffusion model.ACM Transactions on Graphics (TOG), 43(4):1–15, 2024","venue":null,"work_id":"45624222-c7e0-4757-aa9f-1f18c5e47c2b","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.059724Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:f82fbb9faf7542ba095a2787e7ea9a26c4f5bd659cf282301a465aaf76f2312d","observation_id":"4f7d59c2-0b45-4857-87fe-330adf0dd6fb","resolution":{"observed_at":"2026-08-07T05:31:40.493054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2208.01626","last_updated":"2022-08-02T17:55:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-08-02T17:55:41Z","title":"Prompt-to-Prompt Image Editing with Cross Attention Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01626","snapshot_observed_at":"2026-08-07T05:31:40.062171Z","title":"Prompt-to-prompt im- age editing with cross attention control.arXiv preprint arXiv:2208.01626, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.062171Z"},"links":{"cited_paper":"/paper/2208.01626","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:bde63395d30f02a1784b1c0d8348a26416cb730938ab7c1b35f72112c8f9abbc","observation_id":"0680d4cd-e49e-43d0-9da6-69f4c8ddb898","resolution":{"observed_at":"2026-08-07T05:31:40.062171Z","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":"2026-08-07T05:31:40.483102Z","title":"Image analogies","venue":null,"work_id":"e822b992-3c72-4362-8df5-5d09dd5ea210","year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.064989Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:e50c7dada6c20325acccdede9b38aaf239aec5a84a6c756a4f3ecfb155394716","observation_id":"3b0624b1-dbc4-4090-a58b-85db789d4ac6","resolution":{"observed_at":"2026-08-07T05:31:40.485797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-07T05:31:40.067519Z","title":"Classifier-free diffusion guidance.arXiv preprint arXiv:2207.12598, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.067519Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:e45cf0a15eb2665439efb5e6fac68c5bf49f8525d4badb80508cbaf1fae173d7","observation_id":"cdd71921-5db7-4c60-a353-66bebd23d5d0","resolution":{"observed_at":"2026-08-07T05:31:40.067519Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.070305Z","title":"Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.070305Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:50706689feb4f0da9a923a5491761ec97982fd338d3406a57782184ffbd09b19","observation_id":"4f3f01be-f580-4065-972e-0e24052a20c4","resolution":{"observed_at":"2026-08-07T05:31:40.070305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13495","last_updated":"2024-12-01T14:04:22Z","snapshot_observed_at":"2026-08-06T06:27:20.237446Z","submitted_at":"2023-03-23T17:56:10Z","title":"ReVersion: Diffusion-Based Relation Inversion from Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.13495","snapshot_observed_at":"2026-08-07T05:31:40.072725Z","title":"Reversion: Diffusion-based relation inversion from images.arXiv preprint arXiv:2303.13495, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.072725Z"},"links":{"cited_paper":"/paper/2303.13495","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:6f79fb7ab100dec8fdf46e23c5a3b79b9612712144a26661144894300d927b11","observation_id":"21f03e3c-f549-4100-b482-8c4634169d3a","resolution":{"observed_at":"2026-08-07T05:31:40.072725Z","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":"2026-08-07T05:31:40.471672Z","title":"Imagic: Text-based real image editing with diffusion models","venue":null,"work_id":"32333488-696c-4ca3-9515-a99ccb7180cc","year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.075568Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:c9fe782bc0147766a35d51a83dcc7c0a6e642095e2f847ee5dff37a87cb52a24","observation_id":"de9e97eb-b79b-4eaf-b434-f338b8d53dd7","resolution":{"observed_at":"2026-08-07T05:31:40.474552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.464504Z","title":"Multi-concept customization of text-to-image diffusion","venue":null,"work_id":"ac4464cf-0124-4f35-ab99-d0b1140e5507","year":1931},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.078123Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:47c652c1e59336a4750df758159b97b6438f8f2f6702f3e2020148109dd2cc00","observation_id":"9b0639f4-f8fc-42d9-9e55-f99a769c863f","resolution":{"observed_at":"2026-08-07T05:31:40.467252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.456999Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":"63b9722d-be6d-4256-b2bf-daee22410d31","year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.081273Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:9c44ea9df0d96d4ee00c970e458ed6ceff907c22d4034af43e9c95c83e366e84","observation_id":"f1ca00c1-745d-44f3-be28-d89e22a95d52","resolution":{"observed_at":"2026-08-07T05:31:40.459959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1705.01088","last_updated":"2017-06-06T15:16:19Z","snapshot_observed_at":"2026-07-06T05:40:31.165782Z","submitted_at":"2017-05-02T17:44:01Z","title":"Visual Attribute Transfer through Deep Image Analogy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.01088","snapshot_observed_at":"2026-08-07T05:31:40.083676Z","title":"Visual attribute transfer through deep image analogy","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.083676Z"},"links":{"cited_paper":"/paper/1705.01088","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:f659efa0340f4a28ecf2a0fbd63364a229f197502e0eee281b0b8c33c75af56c","observation_id":"09804b22-1ef4-404f-885a-6d3d3687d2b3","resolution":{"observed_at":"2026-08-07T05:31:40.083676Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.086603Z","title":"Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.086603Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:c39693a1875b0c4c387da26c51836f41c802db850b568ef0e8caccc843fc3fa6","observation_id":"dd6f5bb2-2083-44b4-a323-b45922e0b9fe","resolution":{"observed_at":"2026-08-07T05:31:40.086603Z","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":"2026-08-07T05:31:40.445870Z","title":"Visual instruction tuning.Advances in neural information processing systems, 36, 2024","venue":null,"work_id":"763422ae-360a-4db4-958f-b69108a80b05","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.089137Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:e1d94189329de860f7768c6bd7cd8596896bef893ceba4cd90d21ee3922dba97","observation_id":"9858bd4f-7434-4e68-a8a9-2c22985c352d","resolution":{"observed_at":"2026-08-07T05:31:40.448689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2108.01073","last_updated":"2022-01-05T00:07:35Z","snapshot_observed_at":"2026-08-08T06:35:17.078531Z","submitted_at":"2021-08-02T17:59:47Z","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01073","snapshot_observed_at":"2026-08-07T05:31:40.091514Z","title":"Sdedit: Guided image synthesis and editing with stochastic differential equa- tions.arXiv preprint arXiv:2108.01073, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.091514Z"},"links":{"cited_paper":"/paper/2108.01073","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:9303379aea4494cc7e8b691ad4e620aa778d4fdadd6a8b4501c9bff486e516ae","observation_id":"d61a4894-a35b-4d02-a937-c8496a1c194c","resolution":{"observed_at":"2026-08-07T05:31:40.091514Z","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":"2026-08-07T05:31:40.438312Z","title":"Instructgie: Towards generalizable image editing","venue":null,"work_id":"54de1f93-d6b3-4e7a-ab23-2df7c22b666b","year":2025},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.094356Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:6fd03b72aa4a46c2f5465fb5642275291bce94a242dbf9c6e8cbb1fd9619c442","observation_id":"de066a3c-1838-47dc-a5ee-62942d4b43dc","resolution":{"observed_at":"2026-08-07T05:31:40.441005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.096887Z","title":"Null-text inversion for editing real im- ages using guided diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.096887Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:25a89dd881ba5056627d31aaa18047681b4e3bf755dc1bed5335a117463053b3","observation_id":"420ebb30-03e8-4d73-b3ab-9216953b0586","resolution":{"observed_at":"2026-08-07T05:31:40.096887Z","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":"2026-08-07T05:31:40.427168Z","title":"Visual instruction inversion: Image editing via image prompting.Advances in Neural Information Processing Sys- tems, 36, 2024","venue":null,"work_id":"54728669-536a-4e2a-81d6-129f82e72064","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.099218Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:ee967d8fa987b4c29c9097957831a53ef1158e939a4a2b6a287082772c6db782","observation_id":"16c08368-95c2-4f84-a65a-c359ee77e603","resolution":{"observed_at":"2026-08-07T05:31:40.429973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2112.10741","last_updated":"2022-03-08T18:18:49Z","snapshot_observed_at":"2026-08-07T12:21:17.790675Z","submitted_at":"2021-12-20T18:42:55Z","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10741","snapshot_observed_at":"2026-08-07T05:31:40.101678Z","title":"Glide: Towards photorealistic image generation and editing with text-guided diffusion models.arXiv preprint arXiv:2112.10741, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.101678Z"},"links":{"cited_paper":"/paper/2112.10741","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:07b26845d7acb57a92266b0c6c768fa3c2a39051a484255e4cb56c0e36eeface","observation_id":"b8b9fe9d-3819-43d9-a14d-2ab76a9b00b4","resolution":{"observed_at":"2026-08-07T05:31:40.101678Z","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":"2026-08-07T05:31:40.419904Z","title":"Openai: Introducing chatgpt, 2022","venue":null,"work_id":"c7a95597-9bb6-4507-9887-7d1491230836","year":2022},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.104416Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:fb229363f6955ec42f2bef13703626d55bbc009afd43d07e94e36f94b0374ac3","observation_id":"6dcf78d0-7225-418a-9a04-183f2a86ddcd","resolution":{"observed_at":"2026-08-07T05:31:40.422482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-06T05:58:29.182448Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-07T05:31:40.107126Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.107126Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:ae6b07d57eee6300e165b329504e1b1c1ea4a7a31adbfdd2cc9a8a6e9625abcd","observation_id":"807166c2-a548-4dd4-a756-bc1ba2b9d6d8","resolution":{"observed_at":"2026-08-07T05:31:40.107126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-07T05:31:40.110020Z","title":"Sdxl: Improving latent diffusion mod- els for high-resolution image synthesis.arXiv preprint arXiv:2307.01952, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.110020Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:8bdf7e2e0432b09fc3efde7481aa2bd7f7ca582a2fde611e995a27335a41caa7","observation_id":"2f41d025-8661-4fc3-b5de-8434376ebac0","resolution":{"observed_at":"2026-08-07T05:31:40.110020Z","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":"2026-08-07T05:31:40.412676Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":"282bda10-4c2d-4e05-a946-927221a70d04","year":2021},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.112712Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:279de196a022f71054d29b4b7a3e0c2502dd0b91d33942e7d960590786cbf5b7","observation_id":"a8654d9e-281c-414b-866d-daa68ec2fada","resolution":{"observed_at":"2026-08-07T05:31:40.415472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-07T05:31:40.115422Z","title":"Hierarchical text-conditional image gener- ation with clip latents.arXiv preprint arXiv:2204.06125, 1 (2):3, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.115422Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:8063fe8d870290135f7f63a6f2a1c04b49484630ba794145de4b583b5642f010","observation_id":"59a8157a-ecf9-46b7-95ba-2d4b7cf9f8bf","resolution":{"observed_at":"2026-08-07T05:31:40.115422Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.118140Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.118140Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:04e50dfdd51c2c57982e9ada4e7b659d73dcd95fea928079ae39010645f97ae1","observation_id":"8c8b9d29-a1f8-45a1-a3b4-abf3a9be6e89","resolution":{"observed_at":"2026-08-07T05:31:40.118140Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.120659Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.120659Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:6a006b42df8be2096ddd5bb7e3226cd1765648694677137a06b5c4154ac31aff","observation_id":"1a3f4e73-6530-418a-a206-f69514bfb11c","resolution":{"observed_at":"2026-08-07T05:31:40.120659Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.123322Z","title":"Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.123322Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:8facdb603117c46a0ee9374d46853fd2fc35d79d42ce15481798030cdba5b0bf","observation_id":"3535f74d-0de1-4570-801d-28a94ef8df72","resolution":{"observed_at":"2026-08-07T05:31:40.123322Z","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":"2026-08-07T05:31:40.393779Z","title":"Animating rotation with quaternion curves","venue":null,"work_id":"3fa728ed-aa66-4a30-9340-c67bfc9b5aaf","year":1985},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.125733Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:096bbbafb78c37320883d819709723f71105714844b827730a2020d3251e4db3","observation_id":"9a11f6c9-842f-4d58-a8d9-9f31040f1def","resolution":{"observed_at":"2026-08-07T05:31:40.396503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.128453Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.128453Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:985c03f763e97b0b66a03519cf10d072d5f9f4421e7ac77895907c313fa91be2","observation_id":"f76191a6-9b64-46b3-8837-df81eae39d09","resolution":{"observed_at":"2026-08-07T05:31:40.128453Z","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":"2026-07-06T10:01:50.133383Z","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":"2026-08-07T05:31:40.130860Z","title":"Denoising diffusion implicit models.arXiv preprint arXiv:2010.02502, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.130860Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:b478919f09a9aaa5be33618185abde7ba5a7eb62383410fd7bc5f7c13791e440","observation_id":"99884b7d-c182-46b2-9bca-186e2258aec0","resolution":{"observed_at":"2026-08-07T05:31:40.130860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-07T05:31:40.133477Z","title":"Score-based generative modeling through stochastic differential equa- tions.arXiv preprint arXiv:2011.13456, 2020","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.133477Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:94a1e34ca4daeed417594fe67ddb497a59dfb89f859d5f75d7ff55a5965a704a","observation_id":"9481196b-c148-4fac-9a7a-5641223e05c3","resolution":{"observed_at":"2026-08-07T05:31:40.133477Z","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":"2026-08-07T05:31:40.382933Z","title":"Diffusion image analo- gies","venue":null,"work_id":"f60f7c4e-1d39-4e96-aee6-3c7929610c27","year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.136242Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:e5c52b8aacb96f2abf8f3730b2545bf7338c038e586002a8b1e2b4f5de6709da","observation_id":"be68f5ac-5636-4432-ba2b-65c11d2af69b","resolution":{"observed_at":"2026-08-07T05:31:40.385432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2303.09522","last_updated":"2023-07-15T15:48:48Z","snapshot_observed_at":"2026-08-06T13:58:29.349698Z","submitted_at":"2023-03-16T17:38:15Z","title":"P+: Extended Textual Conditioning in Text-to-Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09522","snapshot_observed_at":"2026-08-07T05:31:40.138630Z","title":"p+: Extended textual conditioning in text-to- image generation.arXiv preprint arXiv:2303.09522, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.138630Z"},"links":{"cited_paper":"/paper/2303.09522","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:218b57dbf3b1a532809628a19c0f848251c1791ab0b3a443e6e73e4bb91d66ce","observation_id":"e33a54a9-b812-45c0-b710-1c17e01e819e","resolution":{"observed_at":"2026-08-07T05:31:40.138630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-08-06T05:35:29.109022Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-08-07T05:31:40.141447Z","title":"Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution.arXiv preprint arXiv:2409.12191, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.141447Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:01f5bcd41f51e55084bb285f4a7a0e51530fee133dcf0e0d0448b856b001328d","observation_id":"9f3f1160-6610-4d48-b7ea-57ab72b90fbd","resolution":{"observed_at":"2026-08-07T05:31:40.141447Z","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":"2026-08-07T05:31:40.374967Z","title":"Hard prompts made easy: Gradient-based discrete optimization for prompt tun- ing and discovery.Advances in Neural Information Process- ing Systems, 36, 2024","venue":null,"work_id":"2ae28813-9397-4a98-9ca5-c8f453e6903f","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.144596Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:5266207a9a2e3506105b758331fb409fe9b6733bff3f47e11bc3b6e5d9c1fd77","observation_id":"e825a510-278b-4bb3-9f56-6ee83d08be2a","resolution":{"observed_at":"2026-08-07T05:31:40.378039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.367855Z","title":"Cyclenet: Rethinking cycle consistency in text- guided diffusion for image manipulation.Advances in Neu- ral Information Processing Systems, 36, 2024","venue":null,"work_id":"5be58942-5b8c-45f0-ae42-875801c87dad","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.147105Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:7dbd118b4e502516baea025dc8212bd84666cfda16e4fd3ff9335cc3ab93719b","observation_id":"64166aa8-4b00-44ac-b551-8d5ff3504e55","resolution":{"observed_at":"2026-08-07T05:31:40.370530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.149477Z","title":"xgen-mm (blip-3): A family of open large multimodal models.arXiv preprint arXiv:2408.08872, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.149477Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:67ddb9764bb98a0af2c3968ea041f46e8bea988f7ab41ae7158c45040320ab8a","observation_id":"fd2f27b4-f75b-4b0b-bd89-0eb02f21e5df","resolution":{"observed_at":"2026-08-07T05:31:40.149477Z","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":"2026-08-07T05:31:40.360061Z","title":"Imagebrush: Learning visual in-context instructions for exemplar-based image ma- nipulation.Advances in Neural Information Processing Sys- tems, 36, 2024","venue":null,"work_id":"ce6e75c2-a045-4170-9926-e3c60eadd9dc","year":2024},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.152765Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:b9aa4378565d44e9f6f68a418765e5342f82d3c37a0dcae3eaa3b24f3c257188","observation_id":"1160497c-25bb-498a-bafc-06e0d23d07c5","resolution":{"observed_at":"2026-08-07T05:31:40.363297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:40.155278Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.155278Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:cdddc9f8569d21426eb849faa35584e33bab4eb07e860f55365c75c27819be00","observation_id":"88818845-21ed-47a0-a0a0-33d51bd8b906","resolution":{"observed_at":"2026-08-07T05:31:40.155278Z","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":"2026-08-07T05:31:40.346884Z","title":"Unpaired image-to-image translation using cycle- consistent adversarial networks","venue":null,"work_id":"42285501-8473-4050-a53b-9bbbf6383da9","year":2017},"citing_paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:40.157760Z"},"links":{"citing_paper":"/paper/2506.07750"},"observation_digest":"sha256:153dee9484215d96881273f0237687c1b1c5089bf2cec749cc51ad208121900c","observation_id":"7bbb2a4d-c0d4-4aa6-b891-e7b5345a08c1","resolution":{"observed_at":"2026-08-07T05:31:40.351348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2506.07750","last_updated":"2025-06-09T13:34:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T05:24:18.108420Z","submitted_at":"2025-06-09T13:34:47Z","title":"Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":47},"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 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.07750."}