{"as_of":"2026-08-09T02:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a1cdd8a20180b54c30a3ec553a8e56d12a2384d48d399c62de92b093ecb618b3","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T06:00:59.816341Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"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/2509.10529/citation-record","integrity":"/paper/2509.10529/integrity","json":"/paper/2509.10529/citation-record.json","paper":"/paper/2509.10529"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T06:01:00.453402Z","title":"Stable diffusion v1.4 model card, 2022","venue":null,"work_id":"3f09b122-5707-4346-a565-755b08eb2dc9","year":2022},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.644368Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:45e2c82ffbf6e60f31324ab1077fd4b0c68ee5457b82e0d70e8359a7cfcf19f8","observation_id":"5b15e4da-c7fc-4f34-b9bd-baea4a76202d","resolution":{"observed_at":"2026-08-05T06:01:00.458343Z","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":"2026-08-05T06:01:00.443011Z","title":"Gan memory with no forgetting","venue":null,"work_id":"957f2caa-fa16-45c7-bce8-e8d6299017ae","year":2020},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.649225Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:b0ac0089b5763b04bc2533dfc9a027024b94f6f2d287a53d3b0c27133d508b7b","observation_id":"4a626f29-76b1-448a-a1c8-6297f33c340c","resolution":{"observed_at":"2026-08-05T06:01:00.446388Z","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":"2026-08-05T06:01:00.428574Z","title":"Bermano, Gal Chechik, and Daniel Cohen-Or","venue":null,"work_id":"5e32be25-20f4-4dc4-b515-db9d81d95048","year":2022},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.653825Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:3764e935e9136d630cb7e76ca83dcd270400c45ec5e617fbc3d3930c3cfa6be2","observation_id":"31e2a23b-c77c-4549-9d4b-6466ee265094","resolution":{"observed_at":"2026-08-05T06:01:00.433837Z","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":"2026-08-05T06:01:00.410789Z","title":"Ddgr: Continual learning with deep diffusion-based generative replay","venue":null,"work_id":"a18c71ab-886a-4c81-99f6-e64963adc642","year":2023},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.657886Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:025d167886f37842fb545ff3abab858b2a0a345a553cfcbc47ddb95a312a924f","observation_id":"bf337987-3889-41de-939b-e802ae19b031","resolution":{"observed_at":"2026-08-05T06:01:00.417302Z","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":"2026-08-05T06:01:00.398871Z","title":"Generative adversarial nets","venue":null,"work_id":"f516646e-eb99-40e6-a826-6627aa974b42","year":2014},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.662190Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:d9ba8823c6f6ff09942dae08edafb2487f97aec41c257d521b0caaf94ac6f34e","observation_id":"aeb76c39-ac76-4fb5-b1cc-a9f65834d0b5","resolution":{"observed_at":"2026-08-05T06:01:00.402443Z","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":"2026-08-05T06:01:00.376782Z","title":"Goodfellow, Mehdi Mirza, Da Xiao, Aaron Courville, and Yoshua Bengio","venue":null,"work_id":"096fc9cb-b609-459e-a53d-7a81bd2a11ed","year":2013},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.666055Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:add2051fecf3cbe6089fe6699061410bc1f6820ee364d0c6ac31ea7d82b656b7","observation_id":"6d309a67-1598-4c80-8e3e-5624947915f8","resolution":{"observed_at":"2026-08-05T06:01:00.381568Z","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":"2026-08-05T06:01:00.358669Z","title":"Classifier-free diffusion guidance","venue":null,"work_id":"fb6c9176-d94b-41f0-9056-2123457cc792","year":2021},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.670025Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:cb0d17a5bb88e30516ba918e065b34452405e91f81353ed8836f88a123e69586","observation_id":"a3fc5b9c-5c20-4fd5-a058-99ad81f46989","resolution":{"observed_at":"2026-08-05T06:01:00.367790Z","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":"2026-08-05T06:00:59.673648Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.673648Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:9902bb230cfa3ac978423cce06df6bc39261b08f52e38915b75d5b1fdb8664e8","observation_id":"a0a133e3-f8c0-4a08-af8e-ec19a32e1ff6","resolution":{"observed_at":"2026-08-05T06:00:59.673648Z","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":"2026-08-05T06:01:00.334907Z","title":"Dai, Matthew D","venue":null,"work_id":"93ec07fa-0c07-4a43-ab25-febc05f2a430","year":2018},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.677408Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:7ac50691b4d22ee60176a7e986e3208a4229dc8f76f6dfb1220f6fd7510b714c","observation_id":"1985ab94-4739-4d65-8b1b-4e0930b16ce5","resolution":{"observed_at":"2026-08-05T06:01:00.338736Z","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":"2026-08-05T06:01:00.322439Z","title":"Auto-encoding variational bayes","venue":null,"work_id":"96938769-01ae-4cc7-a8d4-16d081d3fae8","year":2013},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.681583Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:1f54ad63ac1df012452e322b7dd170c7dc2f3970e2f242ae709e589d90e7604f","observation_id":"602d5c93-eecd-4743-9c0c-e2d5a837edd2","resolution":{"observed_at":"2026-08-05T06:01:00.326568Z","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":"2026-08-05T06:01:00.309710Z","title":"Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwińska, et al","venue":null,"work_id":"b1f859f0-bfd8-41f0-a776-0319f72009d7","year":2017},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.687618Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:d514ad0d4012fcbb21822eb0e4b468456beabdffeef2bc2119b9e72a41f78232","observation_id":"b58a2042-9a3b-44bd-b54b-31ae85e915ac","resolution":{"observed_at":"2026-08-05T06:01:00.314353Z","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":"2026-08-05T06:01:00.294679Z","title":"Multiconcept customization of text-to-image diffusion","venue":null,"work_id":"51dedef2-d387-41b3-80de-d365608d371b","year":2022},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.692448Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:185b521f27365901580531f317d73117d7377565f1435092602c180175178896","observation_id":"ba7b2754-495a-4f85-9804-c24e8cbb4d55","resolution":{"observed_at":"2026-08-05T06:01:00.299145Z","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":"2026-08-05T06:01:00.277867Z","title":"Controllable text-to-image generation","venue":null,"work_id":"bee8b22e-49c4-4af4-b36d-6d23c393247f","year":2019},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.696742Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:36656a138185a757ba7a28614e9a8363b54374385bc6a8128d82e33ff3822350","observation_id":"20aad793-cb54-43e2-9272-da954468de2c","resolution":{"observed_at":"2026-08-05T06:01:00.283765Z","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":"2026-08-05T06:01:00.265948Z","title":"Learning without forgetting","venue":null,"work_id":"eff8806c-edd9-4691-b757-a524f2e4202b","year":2017},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.700978Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:e9f441b1a2616cc988ff5d82c55bffb85b2a9a76fffbf38bfb1163453c698ce3","observation_id":"47f073ae-e2e4-488e-9a34-cf69dba71aa7","resolution":{"observed_at":"2026-08-05T06:01:00.269947Z","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":"2026-08-05T06:01:00.254924Z","title":"Dynamic expansion for continual learning","venue":null,"work_id":"08956e43-8ae3-4d73-89cd-aa4dac35a65a","year":2024},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.705579Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:77f3f7265ae10f41b4a97e50c3aab2b7695bdae2346e7732b842da5f1008119b","observation_id":"30b271a9-8f62-4820-a324-643c7a6961df","resolution":{"observed_at":"2026-08-05T06:01:00.258502Z","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":"2026-08-05T06:01:00.241086Z","title":"Packnet: Adding multiple tasks to a single network by iterative pruning","venue":null,"work_id":"9136c5ae-0118-4bf2-8bbc-d5dfe6375cb9","year":2018},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.710374Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:2932e97c1c7db47266048a6a395715b2726638ff7670e35e878ff84410ef4220","observation_id":"472b877c-465c-4163-86ea-bf174ea59be8","resolution":{"observed_at":"2026-08-05T06:01:00.246580Z","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":"2026-08-05T06:01:00.225636Z","title":null,"venue":null,"work_id":"f4603823-4e64-4022-82bd-3cfa26923d79","year":1989},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.714535Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:7540218dc397e48214afc075decd5361e82116552d8098ad3f9013dcf3a60e0c","observation_id":"c9864c9c-ca32-40e1-add0-3a7cbcd91a1b","resolution":{"observed_at":"2026-08-05T06:01:00.230443Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2210.02410","last_updated":"2023-07-02T22:58:51Z","snapshot_observed_at":"2026-08-07T23:25:34.011944Z","submitted_at":"2022-10-05T17:32:16Z","title":"The Vendi Score: A Diversity Evaluation Metric for Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02410","snapshot_observed_at":"2026-08-05T06:00:59.718326Z","title":"The vendi score: A diversity evaluation metric for machine learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.718326Z"},"links":{"cited_paper":"/paper/2210.02410","citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:1e953fd2c61db3f6a00739751329abde1b9eded0ea7e649b4df53ef4e0e572dd","observation_id":"6886fee0-eeed-476a-a5ef-171b589b424b","resolution":{"observed_at":"2026-08-05T06:00:59.718326Z","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":"2026-08-05T06:00:59.722463Z","title":"Parisi, Ronald Kemker, Jose L","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.722463Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:04dec6bb2e16d12e43094df06e82f1e2388835af3476efe0be9a2ca73a562145","observation_id":"1d6ab5c4-6847-4ddf-a99e-69218f821055","resolution":{"observed_at":"2026-08-05T06:00:59.722463Z","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":"2026-08-05T06:01:00.203002Z","title":"Latent replay for real-time continual learning","venue":null,"work_id":"86ce1f9b-ec43-40ab-9e3c-60305173319a","year":2020},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.725957Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:3925ab88de65bd0636e639deec22860ca0b9eb95b90b5f90caa64888510d5bae","observation_id":"1d929b87-5645-4e54-bbe7-7f1a471b12b0","resolution":{"observed_at":"2026-08-05T06:01:00.207806Z","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":"2026-08-05T06:01:00.188323Z","title":"Balas, Liliana Perescu-Popescu, and Nikos Mastorakis","venue":null,"work_id":"64e0df3e-66b7-45cd-aaf8-5909d989f31f","year":2009},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.729575Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:a3758d61fa5aa0e4ea4ca736993b2eb79c63aff39b90b7be41f76852a59e25ee","observation_id":"956642a9-f714-45db-af36-32b7b953282f","resolution":{"observed_at":"2026-08-05T06:01:00.194538Z","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":"2026-08-05T06:01:00.176654Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"00015df2-5759-4dc3-8ad2-4a8331271b7b","year":2021},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.733214Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:32d1007f9731bd6aa796f7e5b486c4fbf51fb717927c6326f53a8894655b99a1","observation_id":"fbbc308f-e5f0-4c63-8f02-39efd539fad1","resolution":{"observed_at":"2026-08-05T06:01:00.180963Z","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":"2026-08-05T06:01:00.161612Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":"06757eeb-6ab9-41b2-bedd-bb3e691f4fd4","year":2021},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.737052Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:bf159028a2d49e586ea04d2d63f8518fcdf4ca3e9032fb03d8fe0cef53d97326","observation_id":"7b3aa077-0cf5-40d4-8573-f835673e7120","resolution":{"observed_at":"2026-08-05T06:01:00.165624Z","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":"2026-08-05T06:01:00.149862Z","title":null,"venue":null,"work_id":"4f7b1b5a-3c6b-45ef-8389-a915f57db128","year":2001},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.741134Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:d3dca47ab5be1f891654546a38aaffce372c4b64d4613fce096c5d3fff7bb2ef","observation_id":"4cbb1eb1-e45b-4bc0-abc4-497f7e77d305","resolution":{"observed_at":"2026-08-05T06:01:00.153784Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T06:01:00.138493Z","title":"Learning to learn without forgetting by maximizing transfer and minimizing interference","venue":null,"work_id":"126953e0-8e0b-43e0-a01c-7e8870dbeb34","year":2018},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.745728Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:fccb196ba5bfae4b0784c90ba12b7dee7a471ef32d9315e5c76b552b1137eea1","observation_id":"d1ad108e-d2f2-48d2-b905-89be56df9a27","resolution":{"observed_at":"2026-08-05T06:01:00.142396Z","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":"2026-08-05T06:01:00.125389Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"b0ea9ef8-868c-4f8c-ab5b-6e93f1e2a3b0","year":2022},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.749082Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:57ed03911ee8d0d202733986daad66ac17c1688f878f9bd78f8077b74033a78b","observation_id":"cc1f0260-678d-47bf-9266-6078047a2fcb","resolution":{"observed_at":"2026-08-05T06:01:00.129867Z","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":"2026-08-05T06:01:00.112238Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation","venue":null,"work_id":"3758ff06-0890-4082-a443-090f682c8253","year":2023},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.752441Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:6ae5d6c571774d0abb079bc32392c730de6aaaf8dbd489a1c992c92099a1f507","observation_id":"09f25764-1ad9-47f9-a657-14e64b220c92","resolution":{"observed_at":"2026-08-05T06:01:00.116744Z","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":"2026-08-05T06:01:00.098046Z","title":"Rusu, Neil Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, and Raia Hadsell","venue":null,"work_id":"508998cc-31ec-4c08-8adb-650922e72019","year":2016},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.756118Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:ba72fd71dea8b278d182c1593ce577bf8b40f9722d625282b039d4b80197633a","observation_id":"412a6deb-aa8d-4777-9c86-e9f8b9672073","resolution":{"observed_at":"2026-08-05T06:01:00.103091Z","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":"2026-08-05T06:01:00.085373Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":"29ff5f4f-b4a4-47aa-9bc6-f1312999b28d","year":2022},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.760031Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:659d86d1976923d9933ce1442b5cfd9327935f660cc0e6c959bf082da5530431","observation_id":"adea274d-c60d-45b3-bf83-f19f57026cf3","resolution":{"observed_at":"2026-08-05T06:01:00.089579Z","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":"2026-08-05T06:01:00.072440Z","title":"Lfs-gan: Lifelong few-shot image generation","venue":null,"work_id":"c6bb4762-6510-4187-b2fc-dc961bacc38e","year":2023},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.763425Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:c7c993df4c0fe7b310695df29129f11f3d4596e7406c5e98cfdf1e6775c78d80","observation_id":"33f28f60-214f-4799-8a49-b73024c7a23b","resolution":{"observed_at":"2026-08-05T06:01:00.076554Z","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":"2026-08-05T06:01:00.049053Z","title":"Brooks, Philip H.S","venue":null,"work_id":"e4a80431-f9d6-48ec-891c-0477c2b32f04","year":2023},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.766902Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:ceb0f0d183ac05ca3caa1117f3cc572f64fb4f946a9ae0c48a4ae78afad57c3a","observation_id":"8ebbed40-a6b0-4288-b664-c48a5d21b599","resolution":{"observed_at":"2026-08-05T06:01:00.057706Z","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":"2026-08-05T06:01:00.030322Z","title":"Continual learning with deep generative replay","venue":null,"work_id":"7bfdc126-bb16-4c1f-a2d8-a9023348cceb","year":2017},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.770657Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:3372c5009033c571b842aabad43ef0283af4f608ef8af03d0e2c06a2630201dc","observation_id":"283efc78-b940-4955-bb46-d4b26aff6752","resolution":{"observed_at":"2026-08-05T06:01:00.035611Z","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":"2026-08-05T06:01:00.011893Z","title":"Continual diffusion: Continual customization of text-to-image diffusion with c-lora","venue":null,"work_id":"3dc2e1fa-e75c-4f75-bcd4-4c25abf969c4","year":2023},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.774271Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:60edb493527f021daa922210c493411eabf35990e931cbbcde85dc57f7e9206f","observation_id":"ea29a0c9-ebb2-4743-b475-9a3452fd1db9","resolution":{"observed_at":"2026-08-05T06:01:00.018137Z","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":"2026-08-05T06:00:59.991535Z","title":"Continual diffusion with stamina: Stack-and-mask incremental adapters","venue":null,"work_id":"66beaf4f-cd70-479a-8054-ec05e1a3d56c","year":2024},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.778481Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:f997a15ceef4ba69b8712f75f31a9b1324b8efeb079228226785e4f969ffa907","observation_id":"2ca396d8-1662-41ed-8897-b507051bc8bb","resolution":{"observed_at":"2026-08-05T06:00:59.995992Z","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":"2026-08-05T06:00:59.979317Z","title":"Improved techniques for training score-based generative models","venue":null,"work_id":"17952b26-9ec4-4a87-94fc-9de07ae1a8ef","year":2020},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.782455Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:33584fe17af170f91b40cd45776e598bdf3994dd084b0c180139b61b833468b7","observation_id":"9c0f7a4f-c4af-4300-a55d-86a2c7b2778c","resolution":{"observed_at":"2026-08-05T06:00:59.983674Z","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":"2026-08-05T06:00:59.967265Z","title":"Create your world: Lifelong text-to-image diffusion","venue":null,"work_id":"c0a810c4-6c70-4129-aa21-4c04903da0af","year":2024},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.786277Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:d5108e71856eb78cd8eea38b840712ffe409372b0d3c72df3ebf1ade46c4035d","observation_id":"3f26d5df-5091-4956-8718-969c51c108d0","resolution":{"observed_at":"2026-08-05T06:00:59.971500Z","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":"2026-08-05T06:00:59.954430Z","title":"Wavenet: A generative model for raw audio","venue":null,"work_id":"f779d0ab-9b6f-40ff-a6cb-b0878815bf42","year":2016},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.790640Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:b9749fe34b39dccc36b4db55eddd11b604053a17b62697dc9c4ae6aa4845b168","observation_id":"02fbc151-eda9-492c-a66f-21a1707e49e8","resolution":{"observed_at":"2026-08-05T06:00:59.958582Z","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":"2026-08-05T06:00:59.940962Z","title":"Supermasks in superposition","venue":null,"work_id":"eb775f12-ef2c-47ca-b53f-be7a4dc2f5ab","year":2020},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.794479Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:e17771de804151fab56f36543cd78864beab8e0e57bd35090c43edabfa5138bd","observation_id":"e68e9fa2-25b2-46dc-8545-7444a9657751","resolution":{"observed_at":"2026-08-05T06:00:59.946274Z","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":"2026-08-05T06:00:59.926439Z","title":"Memory replay gans: Learning to generate images from new categories without forgetting","venue":null,"work_id":"9dfb84bc-6e26-46d2-8941-0806e06436c6","year":2018},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.798031Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:289e6617533f2322ba1300532e114130ca22480bf3209f17fc83ada162c00771","observation_id":"42aad675-e03c-4d5d-9d24-39629577f223","resolution":{"observed_at":"2026-08-05T06:00:59.930669Z","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":"2026-08-05T06:00:59.915073Z","title":"Lion: Latent point diffusion models for 3d shape generation","venue":null,"work_id":"c27cb64c-d59c-437e-a76d-ead4f2a93ae1","year":2022},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.801503Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:ed199c7600cf397960f3709efb55ae9b3d66f50d87dd3db361e39f3cff057706","observation_id":"30c60108-ad65-4508-8076-173a555a1150","resolution":{"observed_at":"2026-08-05T06:00:59.919099Z","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":"2026-08-05T06:00:59.901688Z","title":"Continual learning through synaptic intelligence","venue":null,"work_id":"3e146596-4841-4a10-b208-3fed980e4f2f","year":2017},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.804987Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:5d5517ace4e882db21f5403a86597ed5d8588494f895316efb0c67277468e9d3","observation_id":"f5793a11-a502-4ae5-88d7-daa2c3ae58cd","resolution":{"observed_at":"2026-08-05T06:00:59.907240Z","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":"2026-08-05T06:00:59.889503Z","title":"Hyper-lifelonggan: Scalable lifelong learning for image conditioned generation","venue":null,"work_id":"4240c824-8b32-478c-bf4a-e700a897c8c3","year":2021},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.808926Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:ec12c8639fb5400c666788d08cc1357e1b3c47d06d11f5e1af475dc27ddccf27","observation_id":"9247ee2a-bfad-42f3-a1a1-f2096f2e9287","resolution":{"observed_at":"2026-08-05T06:00:59.893591Z","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":"2406.04584","last_updated":"2024-06-07T02:12:29Z","snapshot_observed_at":"2026-07-06T18:26:54.963211Z","submitted_at":"2024-06-07T02:12:29Z","title":"CLoG: Benchmarking Continual Learning of Image Generation Models","version":1},"cited_work":{"arxiv_id":"2406.04584","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04584","snapshot_observed_at":"2026-08-05T06:00:59.849379Z","title":"CLoG: Benchmarking Continual Learning of Image Generation Models","venue":"cs.LG","work_id":"410ec692-44f0-4c0e-aa92-cba6b505b89e","year":2024},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.812411Z"},"links":{"cited_paper":"/paper/2406.04584","citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:e92ec0682db99d6c0bfae40195ccde9924ccf97b7b151a073469b9048777a991","observation_id":"5f3ae539-8feb-4177-a2a0-fb3a42c94aa0","resolution":{"observed_at":"2026-08-05T06:00:59.855666Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T06:00:59.877593Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"58f11f79-6668-42f4-a882-cddec9e61ab5","year":2023},"citing_paper":{"arxiv_id":"2509.10529","last_updated":"2025-09-04T23:45:22Z","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T06:00:59.816341Z"},"links":{"citing_paper":"/paper/2509.10529"},"observation_digest":"sha256:13524134602be66bcaed82283f7aada74452404c04a9813018ef8c35e728deb8","observation_id":"852b0d38-a4b2-4302-b913-e469d7ae0648","resolution":{"observed_at":"2026-08-05T06:00:59.881495Z","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":"2509.10529","last_updated":"2025-09-04T23:45:22Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T19:59:01.010728Z","submitted_at":"2025-09-04T23:45:22Z","title":"Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":38},"total_outbound_references":44},"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 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2509.10529."}