{"as_of":"2026-08-22T14:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8f482ec8d3e3a91296897a185cdc52921082ec33eff53e9c29cbd5a53185cbd3","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:18:56.173503Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:29:39.687094Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T09:16:59.472185Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00580","snapshot_observed_at":"2026-08-16T12:29:39.687094Z","title":"Continuous concepts re- moval in text-to-image diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12782","last_updated":"2025-04-17T09:29:30Z","snapshot_observed_at":"2026-08-17T20:20:01.027194Z","submitted_at":"2025-04-17T09:29:30Z","title":"Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T12:29:39.687094Z"},"links":{"cited_paper":"/paper/2412.00580","citing_paper":"/paper/2504.12782"},"observation_digest":"sha256:182530e5ec25c3b5ba637be857eb58b108371e23bbde25956f615202985ae315","observation_id":"888da9be-c1ea-4e24-a452-9f5f15d264b7","resolution":{"observed_at":"2026-08-16T12:29:39.687094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00580","snapshot_observed_at":"2026-08-07T14:19:54.328219Z","title":"Continuous concepts removal in text-to-image diffusion models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19398","last_updated":"2025-05-29T14:48:02Z","snapshot_observed_at":"2026-08-18T03:44:47.140108Z","submitted_at":"2025-05-26T01:24:34Z","title":"Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T14:19:54.328219Z"},"links":{"cited_paper":"/paper/2412.00580","citing_paper":"/paper/2505.19398"},"observation_digest":"sha256:08403eb2dcc28b9897f482c526d15733df8713f2eacb7b45fcd4ddaf7fe044b6","observation_id":"321547a0-1aea-4922-ae99-e5ad56c3aa20","resolution":{"observed_at":"2026-08-07T14:19:54.328219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"cited_work":{"arxiv_id":"2412.00580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.00580","snapshot_observed_at":"2026-07-10T09:16:59.472185Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","venue":"cs.CV","work_id":"ea15527a-47ef-4f05-8080-940aa2c4db77","year":2024},"citing_paper":{"arxiv_id":"2606.01658","last_updated":"2026-06-01T04:09:45Z","snapshot_observed_at":"2026-08-03T01:04:58.155978Z","submitted_at":"2026-06-01T04:09:45Z","title":"CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-28T14:28:30.844629Z"},"links":{"cited_paper":"/paper/2412.00580","citing_paper":"/paper/2606.01658"},"observation_digest":"sha256:d2437d6fcfe21b82c1d031d642f21f2cc0a28a6dbed805ec1ff48395e5418ddc","observation_id":"29bb9d46-2824-48e0-8420-6efeb8d20b3f","resolution":{"observed_at":"2026-07-01T23:16:24.620814Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"cited_work":{"arxiv_id":"2412.00580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.00580","snapshot_observed_at":"2026-07-10T09:16:59.472185Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","venue":"cs.CV","work_id":"ea15527a-47ef-4f05-8080-940aa2c4db77","year":2024},"citing_paper":{"arxiv_id":"2607.08337","last_updated":"2026-07-09T10:22:42Z","snapshot_observed_at":"2026-08-16T07:00:42.349204Z","submitted_at":"2026-07-09T10:22:42Z","title":"AutoAnchor: Stable Diffusion Unlearning Using Cross-Attention as a Manifold Surrogate","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-10T09:09:58.074074Z"},"links":{"cited_paper":"/paper/2412.00580","citing_paper":"/paper/2607.08337"},"observation_digest":"sha256:64af49deadb4cd8e8e9da07dd9e177992fb88e8ada6efdf3ac57f02332ba0e28","observation_id":"31ea7249-10e7-40bf-9967-f402c323a93c","resolution":{"observed_at":"2026-07-10T09:16:59.473568Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.00580/citation-record","integrity":"/paper/2412.00580/integrity","json":"/paper/2412.00580/citation-record.json","paper":"/paper/2412.00580"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:18:57.280207Z","title":"https : / / github","venue":null,"work_id":"adade16c-5688-457e-8829-4b058a05faa4","year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.901739Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:2cdf6cbdae1b3946c89ba100cf2ee8e2c26eca5b832b6c40b00409c8fc3065c3","observation_id":"f72c64ae-ed83-4cbe-9aec-43085e93b672","resolution":{"observed_at":"2026-08-12T05:18:57.284962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.263079Z","title":"https://www.midjourney.com/","venue":null,"work_id":"1479cbb9-d663-48a1-85eb-8e2eaa46eb07","year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.907600Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:fdc76a46415cdf9406899d1e6937572b9c50931d7362ccf457165016d82f3dc1","observation_id":"0d2c085b-d4fe-4ada-9ab6-990d63ca7590","resolution":{"observed_at":"2026-08-12T05:18:57.268822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.248262Z","title":"DALL-E 2 preview - risks and limitations","venue":null,"work_id":"db7790f5-01cd-4bcf-bc9d-3bceeaafab05","year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.912430Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:e88c065e34717866e6e716a8cbb4df6c932ac9f545d69e8ba30404bcd2294707","observation_id":"c0837b97-eecc-44c7-8bf4-9f2790fdc295","resolution":{"observed_at":"2026-08-12T05:18:57.252832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.232830Z","title":"Genetic algorithms: Theory, genetic operators, solutions, and applications","venue":null,"work_id":"b93178f5-14cd-4c90-abbd-9594715763dd","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.917810Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:34527a8554508c3292a38187c43f91dd45eb4d0f9a3657aed09122da76dc5805","observation_id":"dbd5dc02-4d39-4a2b-b7d1-b873fa37cd93","resolution":{"observed_at":"2026-08-12T05:18:57.237488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.217330Z","title":"Mean square error of prediction as a criterion for selecting variables","venue":null,"work_id":"f0fa9335-428f-4fbd-9857-2cf474bd7960","year":1971},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.922879Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:5fcd9df07c3ee04bbceff9cb5e553dde11a0d8fc90e096a9ab09175175a14036","observation_id":"0dd1227e-93cb-402a-85ec-01548dd191f0","resolution":{"observed_at":"2026-08-12T05:18:57.222560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.15230","last_updated":"2022-10-27T07:32:39Z","snapshot_observed_at":"2026-08-16T16:20:44.608904Z","submitted_at":"2022-10-27T07:32:39Z","title":"How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.15230","snapshot_observed_at":"2026-08-12T05:18:55.928308Z","title":"How well can text-to-image generative models un- derstand ethical natural language interventions? arXiv preprint arXiv:2210.15230, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.928308Z"},"links":{"cited_paper":"/paper/2210.15230","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:dc30023721f6ad2e8bb7562b38ef3bcc87a4be3bc213c914885b357a21ac40e4","observation_id":"075052c4-9378-43f0-b0ce-9ae862b61f07","resolution":{"observed_at":"2026-08-12T05:18:55.928308Z","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":"2026-08-12T05:18:57.202090Z","title":"Improving image generation with better captions","venue":null,"work_id":"2c2ffa3e-a8cf-4a7b-9a1d-615e67107b7f","year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.934308Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:c6e44fb66b7b4a3bbb110d4946c590ae47065953d045782b6db5ac28c9a4c1ac","observation_id":"d44b977f-3eae-4187-8b03-18fb0dbd57d7","resolution":{"observed_at":"2026-08-12T05:18:57.206562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:55.940026Z","title":"Extracting training data from diffu- sion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.940026Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:1469c5c11c8a37286ac837e83bc25d916880dfe711cf8646ec6f5b52c8fad294","observation_id":"549de651-b02f-42b2-a96d-5ac3b728a4d0","resolution":{"observed_at":"2026-08-12T05:18:55.940026Z","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":"2026-08-12T05:18:55.945345Z","title":"Prompting4debugging: Red- teaming text-to-image diffusion models by finding problem- atic prompts","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.945345Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:4359c8daabbf012cec766b4184f48a5ccbd7c10485dea157386357672ec81e29","observation_id":"3c1d319c-886b-4834-9ed5-3c0bbdf483c5","resolution":{"observed_at":"2026-08-12T05:18:55.945345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08696","last_updated":"2022-03-10T02:28:59Z","snapshot_observed_at":"2026-08-21T08:41:47.646033Z","submitted_at":"2021-04-18T03:38:26Z","title":"Knowledge Neurons in Pretrained Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08696","snapshot_observed_at":"2026-08-12T05:18:55.951614Z","title":"Knowledge neurons in pretrained transform- ers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.951614Z"},"links":{"cited_paper":"/paper/2104.08696","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:0845505f91554581b43615c77644d331928b92ec1845c84680823ec470c7f594","observation_id":"c561b3c6-0783-4092-b6d7-3183823145cc","resolution":{"observed_at":"2026-08-12T05:18:55.951614Z","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":"2026-08-12T05:18:57.177749Z","title":"Erasing concepts from diffusion models","venue":null,"work_id":"67a03837-37b7-4673-b361-51f01bf4fdbb","year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.957919Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:26f17380f41ce33450b855c39a2659476f74fdb2d707a50004f86cfb5f8c67e8","observation_id":"48e2ba20-57df-41e3-93b7-0155a9c197cb","resolution":{"observed_at":"2026-08-12T05:18:57.182538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.162779Z","title":"Unified concept editing in diffusion models","venue":null,"work_id":"5b5fbf24-6095-4ca7-ae09-e973dd3cfec7","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.963130Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:adb453e6ec55b39aae7e5e99eefe70579b579f2a50e3a11c15f68572176c518c","observation_id":"2c30e00c-f9e8-4135-94b1-d8750ca665b4","resolution":{"observed_at":"2026-08-12T05:18:57.167769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07667","last_updated":"2022-11-19T14:49:43Z","snapshot_observed_at":"2026-08-19T14:39:01.052934Z","submitted_at":"2022-09-16T01:23:19Z","title":"Can There be Art Without an Artist?","version":2},"cited_work":{"arxiv_id":"2209.07667","doi":null,"metadata_source":"pith","pith_arxiv_id":"2209.07667","snapshot_observed_at":"2026-08-12T05:18:56.405139Z","title":"Can There be Art Without an Artist?","venue":"cs.AI","work_id":"1b742b16-7fa0-4460-b8fb-b160d952ef2d","year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.968023Z"},"links":{"cited_paper":"/paper/2209.07667","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:c905b3982c66d74fb3af390dab94ec34abe116fc9952b428b703b00ce9a96f04","observation_id":"0e6923b1-af68-4fb1-a46c-0d4c073ab92a","resolution":{"observed_at":"2026-08-12T05:18:56.410216Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.147358Z","title":"Clipscore: A reference-free evaluation met- ric for image captioning","venue":null,"work_id":"060cdd66-8dd4-4a68-9091-a06588182208","year":2021},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.973334Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:3f90c45e6c2383841b1f1e58f2a81beece354d6e9fefb870588d3cc59b6a8cbf","observation_id":"955a5675-e493-4734-a488-accd0ed145f3","resolution":{"observed_at":"2026-08-12T05:18:57.152680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.131382Z","title":"Genetic algorithms","venue":null,"work_id":"9b7a10fa-22cd-406a-b912-9aa413925067","year":1992},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.978130Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:01680bdfaadab0548b8343af8b64f2a60dcabe7e5b75c42a4d3e84e8f1b892bc","observation_id":"64f18b18-35c3-4a7d-9bfe-a448d29b4f9d","resolution":{"observed_at":"2026-08-12T05:18:57.136560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:55.982527Z","title":"Training generative adver- sarial networks with limited data","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.982527Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:92355d98f089be7480ae426bd020b20b6cecb9d55e383e5f711599f96421eb42","observation_id":"c09565d9-e8ec-4d6a-917d-fea56c4d08f8","resolution":{"observed_at":"2026-08-12T05:18:55.982527Z","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":"2026-08-12T05:18:57.105285Z","title":"Out- fox: Llm-generated essay detection through in-context learn- ing with adversarially generated examples","venue":null,"work_id":"91f71e08-c231-48e1-b3bc-be553435bf70","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.987314Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:13ac865ce8ec97a8bd98540e90ba0b38ca42bf802171a249d630bcdb28907904","observation_id":"edffeb4b-e86d-4e87-947c-8fa4c7c3e6ef","resolution":{"observed_at":"2026-08-12T05:18:57.110930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:55.991884Z","title":"Ablating con- cepts in text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.991884Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:a0d2bcd512a0a03e82906f452889142d622d6010fdce16dd01fb5007e14dde88","observation_id":"de900526-1369-4b74-a350-d4fb11b6e418","resolution":{"observed_at":"2026-08-12T05:18:55.991884Z","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":"2026-08-12T05:18:55.996808Z","title":"Controllable text-to-image generation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:55.996808Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:da6b2a2149ce7c7e3aea8d07bc4a1fe529dda1f040d094dfe7cd4886c310c500","observation_id":"7db3c8f9-8a83-4405-9053-5e589acf615d","resolution":{"observed_at":"2026-08-12T05:18:55.996808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10437","last_updated":"2024-10-14T12:29:23Z","snapshot_observed_at":"2026-08-17T00:15:42.989632Z","submitted_at":"2024-10-14T12:29:23Z","title":"Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":"2410.10437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.10437","snapshot_observed_at":"2026-08-12T05:18:56.380712Z","title":"Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models","venue":"cs.CY","work_id":"da1447fe-6915-4ee8-be03-7bdc12641f32","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.002156Z"},"links":{"cited_paper":"/paper/2410.10437","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:08fdb9663027c4f106a3944147cf71f814d1ae4a03a725b70d9cfda7cc7b602f","observation_id":"29714d96-21a4-4578-acbe-42ada2ccac82","resolution":{"observed_at":"2026-08-12T05:18:56.387043Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.070000Z","title":"Towards faster and stabilized gan training for high- fidelity few-shot image synthesis","venue":null,"work_id":"21e9ddab-3d82-4227-88f0-a91abf995606","year":2020},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.007681Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:ba0a26375d4c2df689e8b2321dcfdb9f2edd4e8a1a829594d2e144769a8175fc","observation_id":"9b06e5ab-fa74-4346-8d80-deb8dbce19ec","resolution":{"observed_at":"2026-08-12T05:18:57.074982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.055145Z","title":"Grace: Empowering llm-based software vulnera- bility detection with graph structure and in-context learning","venue":null,"work_id":"ae1fd67c-235b-4e25-b961-9484cd724588","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.012225Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:ad8b8bd8cf54e9e52d1476c0b2bf737062049a0c8c17e90bfe1dee3596d3e9af","observation_id":"a0555a14-6700-46db-8a89-f1155df13de4","resolution":{"observed_at":"2026-08-12T05:18:57.060086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.039782Z","title":"Mace: Mass concept erasure in diffu- sion models","venue":null,"work_id":"70dbd594-46f0-451a-a0b8-73e2a5e0312d","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.017502Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:e707ef5b874cf50bd32b75d590326ff4cc22f39953fd6a5a15482a062c9c9b0b","observation_id":"25f654d0-c6cb-4b01-94c5-6b101e634381","resolution":{"observed_at":"2026-08-12T05:18:57.044864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:57.024980Z","title":"One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications","venue":null,"work_id":"f35ca216-e9d3-438a-b8bf-d007172aba0b","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.022440Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:9fe62e58286b11d67a5b25b6d91cdf95eac6921c1dc1a493288d56e2450e932d","observation_id":"700f03fd-cc2e-4d8d-a763-2d092a2449f7","resolution":{"observed_at":"2026-08-12T05:18:57.029836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.027346Z","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":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.027346Z"},"links":{"cited_paper":"/paper/2112.10741","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:a9c4925635b23a7f74ef4c2d556778a96adb80e444f05a0c5af6bf7551666bb3","observation_id":"dfd4576a-8042-44cd-bae0-c0d5b219de1a","resolution":{"observed_at":"2026-08-12T05:18:56.027346Z","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":"2026-08-12T05:18:57.009080Z","title":"Few-shot 9 image generation via cross-domain correspondence","venue":null,"work_id":"e7a97259-af26-4521-99d7-8c74275bbd92","year":2021},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.032711Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:c6f8dd1f4dcd85f608331cba84b349583d4f84a5ec516d3a8b5a6d171c4cb414","observation_id":"8249c84c-2d7b-472d-837f-44bf57d3b8df","resolution":{"observed_at":"2026-08-12T05:18:57.014366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.037470Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.037470Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:10a0310514c94ad3bdb8373ba648f3066ab3430f5e3bbdb54cbc08a00032fd33","observation_id":"828d4f97-f7d9-4b05-ad41-3217ec5619d9","resolution":{"observed_at":"2026-08-12T05:18:56.037470Z","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":"2026-08-12T05:18:56.042421Z","title":"Generative ad- versarial text to image synthesis","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.042421Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:b2e4505b3edb17d4acd6ecba89b8474f0fb87d2a7c1622546ace3216d3f2b971","observation_id":"e628bf84-be24-44a0-aead-5638fa498814","resolution":{"observed_at":"2026-08-12T05:18:56.042421Z","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":"2026-08-12T05:18:56.047184Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.047184Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:63d1aecd00a7d7adc2dfeca8fea4cb504107ac09fa8153062e1109394755510b","observation_id":"fc4ca9ba-5adf-4c32-9ac9-b25ab1ef8f7f","resolution":{"observed_at":"2026-08-12T05:18:56.047184Z","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":"2026-08-12T05:18:56.965027Z","title":"An ai-generated picture won an art prize","venue":null,"work_id":"054de50c-a351-43ca-beab-c3e916f749f7","year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.051969Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:24ac7627a552807c1448ce638451c550d7285698446477b10eacb5984a1a6cd8","observation_id":"2e3699ae-4b1f-430f-9a67-2c9aa1ae190c","resolution":{"observed_at":"2026-08-12T05:18:56.970094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.056686Z","title":"Imagenet large scale visual recognition challenge","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.056686Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:7bd44093eb347b6b4dfdacfe5968fd5cc8bbda6391793b263ce35e43d95006c5","observation_id":"fb9462b8-d691-44bd-b9ea-43b93e5ba05b","resolution":{"observed_at":"2026-08-12T05:18:56.056686Z","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":"2026-08-12T05:18:56.061936Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.061936Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:6a2e4a42c3e9598df65f72a66ead19c54404ef2efb4e5ddf2d9907b7eb6c3e9e","observation_id":"6bd22000-0833-4a78-85ff-96bd55c937d5","resolution":{"observed_at":"2026-08-12T05:18:56.061936Z","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":"2026-08-12T05:18:56.931276Z","title":"Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models","venue":null,"work_id":"0f1b0cec-9f63-475a-b2f8-864ef680ae91","year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.067296Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:967d265941d5ce6b4e14e44e452999caa8fababe6a84d8bd746f127238fda6cb","observation_id":"d8faf43a-00d5-48c8-9182-eca7c8d0428e","resolution":{"observed_at":"2026-08-12T05:18:56.936002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.072614Z","title":"Laion-5b: An open large-scale dataset for training next generation image-text models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.072614Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:3a025e3b6d73d4562e2b3c9342cbd97419b2951917a4a07b0fff70315667382a","observation_id":"0565f617-aadb-41d5-a460-0d9acc74e016","resolution":{"observed_at":"2026-08-12T05:18:56.072614Z","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":"2026-08-12T05:18:56.905689Z","title":"Ai art generators hit with copyright suit over artists’ images","venue":null,"work_id":"09b29a76-5946-4edf-97a2-a95e15dae29d","year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.077796Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:bd81893f93d73842e93206d9b357ef9daab51725636ce8df38c3de15d8e9b8dd","observation_id":"324d7abb-bdea-44a0-8576-2e76d42b64b4","resolution":{"observed_at":"2026-08-12T05:18:56.911138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.890666Z","title":"De-fake: Detection and attribution of fake images generated by text- to-image generation models","venue":null,"work_id":"6ff036fd-ae6e-4a80-8680-94162ab21211","year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.083046Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:a680b2ad36d4654c64c34c959036185adf7e5f6a5215be77ca3050745ea97d8e","observation_id":"8dd35005-2858-4c92-8d14-17e855fd267c","resolution":{"observed_at":"2026-08-12T05:18:56.895504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.874766Z","title":"Training region-based object detectors with online hard ex- ample mining","venue":null,"work_id":"fcddae33-145e-4fcc-bbbf-cd4c6a407a60","year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.087495Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:47239c8a734229a00a34ea43ef1299f3dc625451c99811fb391f1254b88143a6","observation_id":"0e598348-6ad1-4332-ac64-a5d89064f391","resolution":{"observed_at":"2026-08-12T05:18:56.879821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01469","last_updated":"2023-05-31T06:17:10Z","snapshot_observed_at":"2026-08-15T07:00:23.337991Z","submitted_at":"2023-03-02T18:30:16Z","title":"Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.01469","snapshot_observed_at":"2026-08-12T05:18:56.092603Z","title":"Consistency models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.092603Z"},"links":{"cited_paper":"/paper/2303.01469","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:a175a015dfb54ae258dbcc62d1983d3562ec6a0339e88f44360936daff713ea5","observation_id":"fd664fa3-3818-43e4-8af7-41158d842d4a","resolution":{"observed_at":"2026-08-12T05:18:56.092603Z","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":"2026-08-12T05:18:56.857828Z","title":"The biased artist: Exploiting cultural biases via homo- glyphs in text-guided image generation models","venue":null,"work_id":"837f730d-d033-4fda-9ace-90911d8e5fe9","year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.097674Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:217d39ce703c8f18d24db8d00f7bcdcb0658235801f98a1bf74df8532e65608e","observation_id":"fed48ce3-8df0-4543-bdef-1d3c43c23c43","resolution":{"observed_at":"2026-08-12T05:18:56.862782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.842514Z","title":"Mini-batch primal and dual methods for svms","venue":null,"work_id":"baa73f87-e0ac-4b72-8707-9021cbc06145","year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.102390Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:0468c5cab53ad291ec027219dc4410346ce268e372de0ba2d400d3a3926d10f5","observation_id":"bf18aadc-231c-40f6-b791-25b0a375fb0b","resolution":{"observed_at":"2026-08-12T05:18:56.847268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-12T05:18:56.108168Z","title":"Llama: Open and efficient foundation language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.108168Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:136b13090c2610cba40652a9f82e7079f58213c8d1442fad85f32e1136769832","observation_id":"50bad545-d919-40c8-90a1-4e65b534b31c","resolution":{"observed_at":"2026-08-12T05:18:56.108168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-12T05:18:56.114508Z","title":"Llama 2: Open foundation and fine-tuned chat models.arXiv preprint arXiv:2307.09288, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.114508Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:3668c254c41c56d49f16a968dcfab9e3695a6d83ff572352518ade36ac86b8cf","observation_id":"9e5c8ef5-4979-4915-a82e-554f15bb507b","resolution":{"observed_at":"2026-08-12T05:18:56.114508Z","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":"2026-08-12T05:18:56.827095Z","title":"Diagnosis: Detecting unautho- rized data usages in text-to-image diffusion models","venue":null,"work_id":"d399c3d3-0445-46d9-9c58-b6c140742da9","year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.119696Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:ed2f4072e3bd074a306d17873d09937e7250a14a0edd0f05f385415eb9a94c9c","observation_id":"f3417b37-8e59-45ef-92a1-ee2958156714","resolution":{"observed_at":"2026-08-12T05:18:56.831939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04662","last_updated":"2024-06-07T06:14:18Z","snapshot_observed_at":"2026-08-16T13:45:16.671773Z","submitted_at":"2024-06-07T06:14:18Z","title":"Evaluating and Mitigating IP Infringement in Visual Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04662","snapshot_observed_at":"2026-08-12T05:18:56.125219Z","title":"Evaluating and mitigating ip infringement in visual generative ai","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.125219Z"},"links":{"cited_paper":"/paper/2406.04662","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:2c806a63c7f8ead9a5be4f0383bc5daabdcdbaed70a690edd969bc994b9ac1b3","observation_id":"774c0059-98af-4632-85e3-019eafa388c8","resolution":{"observed_at":"2026-08-12T05:18:56.125219Z","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":"2026-08-12T05:18:56.810853Z","title":"Where did i come from? origin attribution of ai-generated images","venue":null,"work_id":"cb8a3b38-6c7c-4ed9-b0aa-ff9b4f44705f","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.130336Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:c062bb32f8caf9a32f6a88da0c54532ce9c7b584b697066118bdae57b8b8a327","observation_id":"1a832497-0b14-461a-a76a-c90d4193ce0d","resolution":{"observed_at":"2026-08-12T05:18:56.816576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13360","last_updated":"2024-05-22T05:33:47Z","snapshot_observed_at":"2026-08-16T13:50:45.080097Z","submitted_at":"2024-05-22T05:33:47Z","title":"How to Trace Latent Generative Model Generated Images without Artificial Watermark?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13360","snapshot_observed_at":"2026-08-12T05:18:56.135895Z","title":"How to trace latent generative model generated images without artificial water- mark? arXiv preprint arXiv:2405.13360, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.135895Z"},"links":{"cited_paper":"/paper/2405.13360","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:f151a1d206e0346d8de27c81b96f40b078709886098aed64f14216f55a88065e","observation_id":"e71b2e02-364e-4d6f-95f9-a9193f260c6a","resolution":{"observed_at":"2026-08-12T05:18:56.135895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06632","last_updated":"2023-03-26T02:22:12Z","snapshot_observed_at":"2026-08-18T04:58:23.521739Z","submitted_at":"2023-03-26T02:22:12Z","title":"AI-Generated Content (AIGC): A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06632","snapshot_observed_at":"2026-08-12T05:18:56.141136Z","title":"Ai-generated content (aigc): A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.141136Z"},"links":{"cited_paper":"/paper/2304.06632","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:8ecb24a0027c9b8222314f143fbed388180dd0778b8f410fee70a254ace74129","observation_id":"ab4bcc29-3a1c-4acf-8bf9-0106023026f8","resolution":{"observed_at":"2026-08-12T05:18:56.141136Z","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":"2026-08-12T05:18:56.793796Z","title":"Unilog: Automatic logging via llm and in- context learning","venue":null,"work_id":"10b5cd40-a2f5-469e-80f9-5e8e3ba8c6e7","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.146102Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:6c146e6528a9b00a5d187f59bf70ed05d8431041e1c3420222b7bc794b5b7806","observation_id":"16480066-9b9b-49d8-93de-d47a20cc2ad7","resolution":{"observed_at":"2026-08-12T05:18:56.799318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T05:18:56.152054Z","title":"Raphael: Text-to-image generation via large mixture of diffusion paths","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.152054Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:150239f8c093a75877f86483b2fddb842fbf8a83f38d64475b6022e5913d6d88","observation_id":"ed3e76a9-adce-436d-9f4c-675939e5919f","resolution":{"observed_at":"2026-08-12T05:18:56.152054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.10789","last_updated":"2022-06-22T01:11:29Z","snapshot_observed_at":"2026-08-18T22:18:02.034966Z","submitted_at":"2022-06-22T01:11:29Z","title":"Scaling Autoregressive Models for Content-Rich Text-to-Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.10789","snapshot_observed_at":"2026-08-12T05:18:56.157266Z","title":"Scaling autoregres- sive models for content-rich text-to-image generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.157266Z"},"links":{"cited_paper":"/paper/2206.10789","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:e99e5cf33740f11f01674d028f0bd9555ef25899741cff26169f2cac6deec964","observation_id":"5c408f59-c985-4817-aca2-83251593a430","resolution":{"observed_at":"2026-08-12T05:18:56.157266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17591","last_updated":"2023-03-30T17:58:11Z","snapshot_observed_at":"2026-08-16T15:43:59.035009Z","submitted_at":"2023-03-30T17:58:11Z","title":"Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17591","snapshot_observed_at":"2026-08-12T05:18:56.162220Z","title":"Forget-me-not: Learning to forget in text-to- image diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.162220Z"},"links":{"cited_paper":"/paper/2303.17591","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:9fc675cabdbee78e198e4bc713e3d7aa54e6e38d59855d1096c308281368694c","observation_id":"74437cb8-1c02-4166-826d-1df1f8253074","resolution":{"observed_at":"2026-08-12T05:18:56.162220Z","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":"2026-08-12T05:18:56.768465Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":"b1c1b0d9-ddda-477e-8a57-0b6b15216905","year":2023},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.168559Z"},"links":{"citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:98f58a7fbb6f00fd6210022f8525b01dd878ab6ddb7ba353909695dc7a371072","observation_id":"d0857b0c-9079-407e-bcf4-2fa5d4cc5e3d","resolution":{"observed_at":"2026-08-12T05:18:56.773456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00129","last_updated":"2024-03-29T19:49:29Z","snapshot_observed_at":"2026-08-17T00:16:26.781141Z","submitted_at":"2024-03-29T19:49:29Z","title":"It's a Breeze: The Circumgalactic Medium of a Dwarf Galaxy is Easy to Strip","version":1},"cited_work":{"arxiv_id":"2404.00129","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.00129","snapshot_observed_at":"2026-08-12T05:18:56.213721Z","title":"It's a Breeze: The Circumgalactic Medium of a Dwarf Galaxy is Easy to Strip","venue":"astro-ph.GA","work_id":"56ed35c0-75fc-46b7-b850-1d0535c4f97f","year":2024},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.173503Z"},"links":{"cited_paper":"/paper/2404.00129","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:97d7b086940b56d91f51ebbed0d58ef6d6a4b77f395e3126358705e5b58ba1b2","observation_id":"38017602-d86b-484d-b716-d09a92db26ac","resolution":{"observed_at":"2026-08-12T05:18:56.222653Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T21:16:27.430930Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":3,"verified_fuzzy":27},"total_outbound_references":53},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 4 inbound Pith citation observations for arXiv:2412.00580."}