{"as_of":"2026-08-15T01:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9dd4b224a438a72b2459cc3ad7bd74709849e61689b491bc48f8ef4f35e9ccdf","coverage":[{"denominator":77,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":77,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T06:00:58.204040Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2606.31323/citation-record","integrity":"/paper/2606.31323/integrity","json":"/paper/2606.31323/citation-record.json","paper":"/paper/2606.31323"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-06T19:52:52.099769Z","title":"In: CVPRW (2018)","venue":null,"work_id":"1a0df573-95ea-496b-8c54-279fc7b0b66f","year":2018},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:5157a3263587015623ceac982e8355a23fda68973d4bc24d2b66b1b1f30044fa","observation_id":"7a114fb8-8654-41f4-98d6-613abbb2b076","resolution":{"observed_at":"2026-07-06T19:52:52.103421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.141625Z","title":"ACM computing surveys (CSUR) (1991)","venue":null,"work_id":"5bd2cb1c-b61d-4fb5-874d-683e08738d60","year":1991},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:cf9afa35d28db7915a898d945703ecd6b221e0038f74266012043ea8b8d8add9","observation_id":"ab37542c-edbe-48cb-9611-dd79d274e95c","resolution":{"observed_at":"2026-07-06T19:52:52.143057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.086399Z","title":"SIGGRAPH (2023)","venue":null,"work_id":"cc2eaf8b-c1fd-4eed-8567-e298dd33ad3d","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:126c3408e0828cab34ff8953cc6d1419eeb9f545a9ad368d9b3a8de6cec9ae5f","observation_id":"a90ad421-7c3d-4659-8712-1dce6b0776b3","resolution":{"observed_at":"2026-07-06T19:52:52.088150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.070595Z","title":"In: ICCV (2021)","venue":null,"work_id":"695f8346-dc7c-4278-81fa-91539bc1b8e1","year":2021},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:1a010396e30e074afcf6476588a74bd7f644431cc3efd2e7cdabcca44032cf3d","observation_id":"445544e5-e2fe-414e-8034-d8c9fb84076f","resolution":{"observed_at":"2026-07-06T19:52:52.072182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.103801Z","title":"In: ICML (2023)","venue":null,"work_id":"33cd3764-6453-4dbb-b7af-dbcafb85b5e9","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:77979a5d7717abdf81130d5e03554e56aa6c628c0c9de79b5a4c665ede23d785","observation_id":"b6dcf6f4-6692-4efa-b52d-37d5e6f8fc9e","resolution":{"observed_at":"2026-07-06T19:52:52.105073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.150035Z","title":"ICLR (2018)","venue":null,"work_id":"c8c54032-95bc-40f9-b108-66a087d04c04","year":2018},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:3345500e2a6fa34c653908ee6ec8309cc09b58617fb4377ba5e5c6817211fb04","observation_id":"21363fbc-08fd-4987-ac8a-8bb8131754bd","resolution":{"observed_at":"2026-07-06T19:52:52.151356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.091422Z","title":"https://github.com/kakaobrain/coyo-dataset (2022), accessed: June 29, 2026","venue":null,"work_id":"38b587d3-204c-4845-acfe-0a96e7f8ef33","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:019019d81ca2272c49e78df3fb178c507e542093f1bef7eb2e41288d3cdfac01","observation_id":"94c26282-f2cb-4b0a-b883-25593c4a16c8","resolution":{"observed_at":"2026-07-06T19:52:52.092941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.130015Z","title":"In: ICLR (2024)","venue":null,"work_id":"97d6ea15-c15d-4d25-a940-a55cef8aca84","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:e73491ca379e8195172406e3c036978db6e2dbce0c4ce04461293a12472e1165","observation_id":"a55aec46-0922-4635-8605-f1f8e764f62c","resolution":{"observed_at":"2026-07-06T19:52:52.131324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.060687Z","title":"In: CVPR (2020) 16 H","venue":null,"work_id":"8772df41-1f72-467f-9acc-6a779f1322ce","year":2020},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:5c0a824f493353edfdf3d68dd3fe79ab5e8dda1c9ef0b39abe60ba45b93fdf1e","observation_id":"e3c07a76-d5b7-4293-be67-3a6c30bc7d6f","resolution":{"observed_at":"2026-07-06T19:52:52.062123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.114914Z","title":"ICLR (2023)","venue":null,"work_id":"08cc11f2-6456-4283-a86f-0efcdc30eb38","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:1a3e38efd00913c6dd9a27121c052f4259d3c1f4ac86bf1555f3f342a828fbf5","observation_id":"0e4dabbe-27eb-4b39-9444-bde3b58ef4d2","resolution":{"observed_at":"2026-07-06T19:52:52.116240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.191120Z","title":"In: SIGGRAPH (2024)","venue":null,"work_id":"a3069227-888f-4292-9f53-1733f20927d6","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:935f96a56944cb538eca07b71291cd42de2e97002516113bc0675041b83f4ca0","observation_id":"cc8b7a36-5d51-49f7-ac3b-77f279d76066","resolution":{"observed_at":"2026-07-06T19:52:52.193531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.094022Z","title":"In: WACV (2024)","venue":null,"work_id":"c1804d30-566b-49a4-a0d5-ebce23bcc532","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:a5bf1e1ed196c24c7991976b59955ccac139dd3764e29e78590b3244cbf42e0d","observation_id":"4e229f83-6dc9-4679-aabe-7ac3eb8002fc","resolution":{"observed_at":"2026-07-06T19:52:52.095363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.088487Z","title":"CVPR (2023)","venue":null,"work_id":"4aef60ce-3812-4e49-8766-31dfe9b175aa","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:0adc3d4c62aa5e4446177f62ffdb2c6b5fa5f8f6b82d0c1aad8776866b76def2","observation_id":"75eaff17-7e19-455a-b758-1f883c1ba186","resolution":{"observed_at":"2026-07-06T19:52:52.090250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-09T19:46:29.668064Z","title":"In: ICML (2024)","venue":null,"work_id":"4477f69b-2c8b-4a97-815d-00f4b0cdfcff","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:2bd2b82051da051ab39c7e2aa3d94f3e977b91406e7e825331bb41c31a512b6e","observation_id":"a165f33f-dded-436a-b4da-ce00b9981eb8","resolution":{"observed_at":"2026-07-06T19:52:52.185027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.065199Z","title":"ICML (2026)","venue":null,"work_id":"fc4ff77f-8e97-434a-853b-bf5ae1c9bbbb","year":2026},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:5f0205d599c5634bdfbe569a81923813d443615b01ac72b1f4b02844dedbc332","observation_id":"0746eea8-7b23-42b9-b118-7634de9a5b8f","resolution":{"observed_at":"2026-07-06T19:52:52.066999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-10T20:17:34.103408Z","title":"In: CVPR (2022)","venue":null,"work_id":"f697184b-94d1-420d-9269-b8792e7a5c74","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:936c6708ed027b95ece14d74efe41fc605e1080063599d28b963a6b8523a6771","observation_id":"152cfd02-3f69-4864-83be-c945a12eedef","resolution":{"observed_at":"2026-07-06T19:52:52.149007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00103","last_updated":"2024-12-30T19:00:25Z","snapshot_observed_at":"2026-07-06T20:14:54.297131Z","submitted_at":"2024-12-30T19:00:25Z","title":"LTX-Video: Realtime Video Latent Diffusion","version":1},"cited_work":{"arxiv_id":"2501.00103","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.00103","snapshot_observed_at":"2026-07-09T07:56:04.699528Z","title":"LTX-Video: Realtime Video Latent Diffusion","venue":"cs.CV","work_id":"cee5c521-3ce9-466e-a035-1e42f89254f4","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"cited_paper":"/paper/2501.00103","citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:399a1b6f1a410f2d4f63c542e29b77e03b5170cfba66b2a31a14b22c46fc2d5a","observation_id":"15ddd37b-6ae8-4196-aaf0-7d7c79ae1387","resolution":{"observed_at":"2026-07-01T09:55:41.299226Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.143927Z","title":"NIPS (2017)","venue":null,"work_id":"46113d6e-572a-4d3d-a6df-8200fad432a3","year":2017},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:96cc376631293283ebad003e5a4bc1bf76b5a6e0c55759c143c48ad0f3826e02","observation_id":"de071291-1512-463c-a7d3-c73278d78e0e","resolution":{"observed_at":"2026-07-06T19:52:52.146269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-09T19:46:29.641370Z","title":"NeurIPS (2020)","venue":null,"work_id":"b8821e5c-1b9b-4e8e-8942-976e2743ce75","year":2020},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:04aa51e8574cbdbebddc6bcd297446b7dff92761c5515e24108f550fc3bd6de2","observation_id":"61ad8958-0ebe-4199-b6ed-396d51399ddf","resolution":{"observed_at":"2026-07-06T19:52:52.166142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.139882Z","title":"NeurIPS Workshop (2021)","venue":null,"work_id":"e5c436dc-5333-4eed-b01b-9bb530d70118","year":2021},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:dce90ca69a7a4d7e3db9bb8d0a2ee6d9584ee6203b097480849e2d9934ffa020","observation_id":"08ec07b4-5932-4b8d-b881-220abba9a6f4","resolution":{"observed_at":"2026-07-06T19:52:52.141176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.156581Z","title":"NeurIPS (2022)","venue":null,"work_id":"c315138d-4b8c-4013-b977-dc38b59cd702","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:bf48d52b7e602eed6a6f00f451a1839869c460fe03709b4b16ddd0d03d9445bb","observation_id":"67b9b561-e5cb-4b36-b00c-80fafc59cbe7","resolution":{"observed_at":"2026-07-06T19:52:52.158035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.170742Z","title":"ICLR (2023)","venue":null,"work_id":"c4b4e6bb-f290-4976-ba8d-50d156fd9787","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:fa5747b03602276f5ab9684caae53adfea42d36e52f514458e0702c3ee006f76","observation_id":"f2f78cf5-d80f-43ce-a0d7-ea2141873894","resolution":{"observed_at":"2026-07-06T19:52:52.172169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.179582Z","title":"In: ECCV (2024)","venue":null,"work_id":"cc7fd506-f8ce-453a-90b9-9f507e90ee06","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:b9c1e97fbb169e373145278131ec75cd0079638d4463f3be3dea9411858fce7b","observation_id":"c87746e1-3e97-4139-ae02-c94d420c096c","resolution":{"observed_at":"2026-07-06T19:52:52.180955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.122296Z","title":"ICLR (2018)","venue":null,"work_id":"ffbb0556-9bef-4cb8-9ce9-461c30ecfd2f","year":2018},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:6c0a64db1b60d7b6261d695693c46f3b1a33ddcd2815424629f311b0a48bf1c6","observation_id":"383c59d9-f6ef-4407-9d03-cd780b9c9794","resolution":{"observed_at":"2026-07-06T19:52:52.123521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.014782Z","title":"NeurIPS (2022)","venue":null,"work_id":"4819ad8f-fcee-48a0-b996-b5a8bd2bc0d9","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:81378bf54f80845dde81e740c9752d50e1ec0e9efc2d2ebe3ee8394c0bfb6faf","observation_id":"2f1206f2-e891-4e80-82fe-9dab7a8412aa","resolution":{"observed_at":"2026-07-06T19:52:52.016543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.051404Z","title":"In: ICCV (2023)","venue":null,"work_id":"612069f1-dfe0-436d-bd0d-6bcabd78eb28","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:690342ca6579f5844d0ba6ffc7d4a06a31530f8e9f2ce735372903b422569104","observation_id":"e52eb461-a074-4767-9562-69c82cdb8416","resolution":{"observed_at":"2026-07-06T19:52:52.052773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.133016Z","title":"NeurIPS (2024)","venue":null,"work_id":"ab6b29c9-095b-492b-9000-b9b685e490d3","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:58487586d56c780d0695a4e13368aacadef90d2ecb6f6725b82c80b3b13da810","observation_id":"0f91325d-a6a5-41b9-843c-3260b5c853dc","resolution":{"observed_at":"2026-07-06T19:52:52.134386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.188176Z","title":"NeurIPS (2024)","venue":null,"work_id":"33b6942d-1027-4536-8f63-f6bbf68558ad","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:4b0538471df1e0ab242f629e353bd9ced7bbf659894a62dc01140cb549890726","observation_id":"f90525a6-e180-4fd2-8e7f-24e467c61ef0","resolution":{"observed_at":"2026-07-06T19:52:52.190111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":"1312.6114","doi":"10.2139/ssrn.4269703","metadata_source":"pith","pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Auto-Encoding Variational Bayes","venue":"stat.ML","work_id":"97d95295-30e1-42b4-bbf6-85f0fa4edb44","year":2013},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:8eb40c38aa2dc34e753c9515eaf870d35f36db1c6a7ad0c622a82ab9d3a8115c","observation_id":"385df2ec-381d-477d-aee0-1a084154dc42","resolution":{"observed_at":"2026-07-01T09:55:41.290710Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.167838Z","title":null,"venue":null,"work_id":"b7a790e3-fdcc-4bae-8cb8-ed265e53f75c","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:73330a9df7394e9a80e13b54288ca01cc1ba93ea242d971665ae02dee4b5e9f5","observation_id":"aa0e53d4-bfcf-45a4-a3f3-18c5b4d8937e","resolution":{"observed_at":"2026-07-06T19:52:52.169509Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.062607Z","title":"In: CVPR (2026)","venue":null,"work_id":"b19d03b2-026a-41ce-a021-2cbe45fcc661","year":2026},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:0787474dc414e7b0e6be6751ead649d2532279bd5b0725e2cc9b14d7c9d8c491","observation_id":"13230cbc-9e53-4c6c-8142-73f0ce531283","resolution":{"observed_at":"2026-07-06T19:52:52.064052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.165606Z","title":"ACM TOG (2020)","venue":null,"work_id":"a25b2f68-e471-4a45-9201-9c64fdd8fdc2","year":2020},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:ee73c0fa0f84ccfb826aa9f9cb17fec5e44af8a01b17c71c092a869a937f4002","observation_id":"dc1c3857-a4ee-4b4b-9077-ac76b75fae7b","resolution":{"observed_at":"2026-07-06T19:52:52.168201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.081051Z","title":"In: CVPR (2025) Accelerated Likelihood Maximization for Versatile Content Generation 17","venue":null,"work_id":"0f465849-a404-4f35-b899-431b35223d40","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:638d30c54923fce1d58d642fa59b8dba902a7391c6905f646a93f03e03403085","observation_id":"48520eb4-b09f-42b5-9069-8457a66140e0","resolution":{"observed_at":"2026-07-06T19:52:52.082963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.172971Z","title":"NeurIPS (2023)","venue":null,"work_id":"5de2f452-c0b1-4f52-9e0c-b080d0796482","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:fb41eb39e94f2c523a713e5f2762de29f16ec9f891ac7e7cecf8664d8421ae1e","observation_id":"574c7d4b-3311-430a-8bd5-66d91879acff","resolution":{"observed_at":"2026-07-06T19:52:52.174325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.178516Z","title":"NeurIPS (2023)","venue":null,"work_id":"5dd2df61-79e3-4732-a4dd-df871f2b2945","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:8ce84eafa51732b818ee6dc7639e131d3be3b7a2748518de56e6c71a6a8f5320","observation_id":"050f1f69-5505-4933-8a54-deba9b4b2288","resolution":{"observed_at":"2026-07-06T19:52:52.179845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.128027Z","title":"CVPR (2026)","venue":null,"work_id":"8ac5de8b-949b-4a83-928b-74ce3b6795e2","year":2026},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:00dcc6f9ae39b3c4bbad97766c9c5c2c1f0a5cdc127d2f1393f07f6c9269961e","observation_id":"1c738cc7-4b87-4d73-a173-b23372aa61b8","resolution":{"observed_at":"2026-07-06T19:52:52.129271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.028498Z","title":"ICLR (2023)","venue":null,"work_id":"bcd9fe4e-4d80-4a56-87d2-91047d5047e5","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:572495998989bf895fc7c4e8d502d0f10f7494070bf38d3ace489095384cc4a0","observation_id":"69e6bd9b-862a-4a22-ac6e-3e32888f32b3","resolution":{"observed_at":"2026-07-06T19:52:52.030389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.068283Z","title":"ICLR (2023)","venue":null,"work_id":"104bf1c1-6b82-4a1c-a81d-3b47264ff4de","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:6cd9a25b8c7fcec4d52a6fc5a94596d6333a817f66407af5683c85729d6875f9","observation_id":"fe9b2e25-7505-4b04-95bf-ee73ba6d0377","resolution":{"observed_at":"2026-07-06T19:52:52.069802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.162165Z","title":"In: CVPR Findings (2026)","venue":null,"work_id":"6e441afd-933e-4a83-8b8e-782ccb767f22","year":2026},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:d6e0fbd1a8f6cc621c86f976afa11c9b0abe186dd075ac6c38a92d217570c7a5","observation_id":"f58c1319-82b5-4165-9863-756c3e96c27c","resolution":{"observed_at":"2026-07-06T19:52:52.163709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.198444Z","title":"In: SIGGRAPH Asia (2024)","venue":null,"work_id":"e5465f07-10f9-40d3-8fa8-8eb29e59ef28","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:fa5e251ff5447f01dc294fb91d5f057ef1b02a72436490e8f249d47ef349a283","observation_id":"535edfa3-050c-46aa-8f43-8d09e786f983","resolution":{"observed_at":"2026-07-06T19:52:52.200121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.158978Z","title":"In: CVPR (2022)","venue":null,"work_id":"0448f568-f7cd-4b48-8910-808e00324897","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:9a1c4592ed43a43b70286d7be2f441a96dcaf3e37635dede696bb4dc58da384d","observation_id":"69f52312-ca79-47ca-b71e-9db2cc46654d","resolution":{"observed_at":"2026-07-06T19:52:52.161162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.134184Z","title":"In: ICLR (2025)","venue":null,"work_id":"547fed13-fdb1-44a8-9dde-d96bf4836b72","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:dd14a4f44d228a79b026901bd23e0d4c5cfb584a755b9ae47d6f601a7d747389","observation_id":"68fafc1f-2ed2-412d-9ee5-c96cd23bfafa","resolution":{"observed_at":"2026-07-06T19:52:52.135554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.063034Z","title":"ICML (2025)","venue":null,"work_id":"9094caa2-9c67-4491-910a-8a6265a5fa16","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:d9a7fa4df583b410b17eb4df733f70c0cc30aff1893c0dbf4c0987339a2298ce","observation_id":"2b10ad1b-6280-40d8-8b75-92b22eb75027","resolution":{"observed_at":"2026-07-06T19:52:52.064565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.157749Z","title":"NeurIPS (2019)","venue":null,"work_id":"691bd385-3e91-44d2-ab93-3eeee617b520","year":2019},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:3077f13e5162e40f0e9817aacfc4320bcffa02efc41b4d4f78ef89d170401bf2","observation_id":"c61503f3-6bd5-4873-8839-940bbed977c8","resolution":{"observed_at":"2026-07-06T19:52:52.159283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-09T19:46:29.633380Z","title":"In: ICCV (2023)","venue":null,"work_id":"73b1470f-68c2-4540-ba62-6177a1e99ee2","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:f5296eb89e233e5a1bca342461402660e7196d744a4e981764cde6dcb7cbe290","observation_id":"03cce1ee-ae0a-4937-893a-5149eba4704a","resolution":{"observed_at":"2026-07-06T19:52:52.137871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.143738Z","title":"In: Seminal Graphics Papers: Pushing the Boundaries, Volume 2 (2023)","venue":null,"work_id":"71a6d695-5096-4096-8e05-0bba7f4eec4e","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:4d4cee1f76c7d8f1b7aa7d3ab929303751f4de2ab0c8ef5e7888e4b71d8fb2e6","observation_id":"79d77cc6-4265-4c5c-8490-7df6bafc1357","resolution":{"observed_at":"2026-07-06T19:52:52.145173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.119821Z","title":"ICLR (2024)","venue":null,"work_id":"edf8c3dd-30ca-4259-97d9-e774b600bf3d","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:02123cb0cbdcba88ed7d14915db385e52734c1137a139e0965765fd158198ebd","observation_id":"1f9e2f3f-ca2d-46f5-b5fe-08fe3643fa36","resolution":{"observed_at":"2026-07-06T19:52:52.121745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.026450Z","title":"ICLR (2024)","venue":null,"work_id":"a1eae237-db76-41d8-bf6d-580b61ccb128","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:1720ce4e28d306fe61527c0bed4c236860c996d2fb2639f38c3b51ad03ad2a30","observation_id":"18ac33af-7c7e-4e2c-b851-fa339ca35424","resolution":{"observed_at":"2026-07-06T19:52:52.028040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T07:14:45.611413Z","title":"In: ICML (2021)","venue":null,"work_id":"72ce632e-650b-475a-9730-339c2af647e7","year":2021},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:7c35e5ccd7512482b460792f23dcd5fd318d6400d614a53cb375e59eda8306db","observation_id":"92774ea7-ea89-476d-9f47-503719996743","resolution":{"observed_at":"2026-07-06T19:52:52.164796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.08501","last_updated":"2020-07-16T17:53:02Z","snapshot_observed_at":"2026-07-06T09:38:53.228850Z","submitted_at":"2020-07-16T17:53:02Z","title":"Accelerating 3D Deep Learning with PyTorch3D","version":1},"cited_work":{"arxiv_id":"2007.08501","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.08501","snapshot_observed_at":"2026-07-04T20:30:07.174987Z","title":"Accelerating 3D Deep Learning with PyTorch3D","venue":"cs.CV","work_id":"28c48e8f-4d02-49fb-9564-fa686720784e","year":2020},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"cited_paper":"/paper/2007.08501","citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:b6798a767f3bf9926445bda309ceca7347b534e4ec4b28baebfabf39621dd934","observation_id":"1d1fba03-6961-44ed-993a-50fb90bb7483","resolution":{"observed_at":"2026-07-01T09:55:41.295463Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.135110Z","title":"In: SIGGRAPH (2023)","venue":null,"work_id":"4dcd95dd-f3b3-4e61-974d-c8ba45e73752","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:3226c4464246dc4ab1e7f80161bfb92e8cb43f5b15697d517ab36a08a48d62ce","observation_id":"311e74e6-5fdc-4d19-a3ac-fe46a3d15c9e","resolution":{"observed_at":"2026-07-06T19:52:52.136498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-11T01:57:53.496616Z","title":"In: CVPR (2022)","venue":null,"work_id":"f09753ab-b8a7-4d7b-a579-aff594de0966","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:ad205726f7a6054e094b7a20ade38284d3060a0116f83cde7d7244513c65ab61","observation_id":"ba7547c7-e10f-4956-8fb7-3e9198476a21","resolution":{"observed_at":"2026-07-06T19:52:52.182848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.081444Z","title":"In: International Conference on Medical image computing and computer-assisted intervention (2015)","venue":null,"work_id":"bd930c1e-2d83-4af3-992f-df701d7c1d5b","year":2015},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:369b196c5d5b18a02ba5b2fbe612e0f4a25af54f9a44d2d09afc0c2b17b9233e","observation_id":"d35b7b14-ea7e-4295-9a10-4cd0e7ad595f","resolution":{"observed_at":"2026-07-06T19:52:52.083243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.116648Z","title":"NeurIPS (2022)","venue":null,"work_id":"0eecbc92-fe16-42a2-994b-706b3a5210c2","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:6540d1473299518b7096471dbacbdd4d8a869b41d549079ca49ee94821be47cc","observation_id":"7b9a5d88-b1e3-4987-83e7-9716e657fb36","resolution":{"observed_at":"2026-07-06T19:52:52.118467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.173785Z","title":"NeurIPS (2022) 18 H","venue":null,"work_id":"05970b68-a160-410a-a926-0938ecba7559","year":2022},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:b7998649f1dc61b03a7916949133e26e8bf6322c4ebb6c6a37fec1128613f440","observation_id":"558c60f7-2806-4d94-ae7d-15e5214568f2","resolution":{"observed_at":"2026-07-06T19:52:52.175710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.083950Z","title":"In: ICML (2015)","venue":null,"work_id":"55fe5bd9-1630-469b-9dd4-02396bd2ac58","year":2015},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:8f16eb1f51bbda1ccf2f696bfe9c2f96828fb25019968f3fc4f8c59d624c4316","observation_id":"a56321d9-cadf-415d-9f1d-9ba27e4a87d6","resolution":{"observed_at":"2026-07-06T19:52:52.085474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.091942Z","title":"ICLR (2021)","venue":null,"work_id":"8b59e307-025b-440a-9885-426604de3615","year":2021},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:412e33ee2ef03fc9dccfaef3f651584c69d9fa5b163729cbdb8d955ba194dec7","observation_id":"38a0bfbb-f3f3-4db8-bada-4ab1da58f653","resolution":{"observed_at":"2026-07-06T19:52:52.093252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.085794Z","title":"In: ICLR (2023)","venue":null,"work_id":"72615a6c-6d63-4c21-9b1c-e99c263c0261","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:603f3b57607e85527510c67e0d7bc05d56d09499aeb0933946df9e471f08eebd","observation_id":"0ac36d68-1e9e-447b-9ed9-6e144a14d16b","resolution":{"observed_at":"2026-07-06T19:52:52.087583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.083596Z","title":"ICLR (2021)","venue":null,"work_id":"d841d057-48e6-4ddb-9778-c83c91c098a3","year":2021},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:3eb62754d7d76e55d19ec3cda52651051adb838e119a3b4b93a6f250a550e0f0","observation_id":"6631e059-3ea4-48a7-8533-188995c116da","resolution":{"observed_at":"2026-07-06T19:52:52.085099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.160878Z","title":"ICLR (2023)","venue":null,"work_id":"e98ee2a1-8d6a-4e0e-ba9a-dd5474bea9db","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:7280336cc56bf725d4e386d2a208d479e6a56fcf6c602fcd05b1a955723f3e9e","observation_id":"1738cd8d-196f-4509-b672-f93483f491e6","resolution":{"observed_at":"2026-07-06T19:52:52.162444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-08T12:34:55.044632Z","title":null,"venue":null,"work_id":"b937fd42-2d8c-47af-97b7-8b3a7f9ec704","year":2019},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:6f5bb236733356d6f0ee25791be32cafafb0cb6730de6f6868a0f9f299429933","observation_id":"7a8b5666-fbe8-46a5-8d5f-4a39000d9b9e","resolution":{"observed_at":"2026-07-06T19:52:52.078140Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.155625Z","title":"IJCV (2025)","venue":null,"work_id":"bcff8374-f138-4648-826b-99253b214654","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:2229f31ba0ef925bdd080d90c8573cdf3050b961f51e7351b2df966abf35d854","observation_id":"6435a420-44ec-431b-a59e-5a54056d7700","resolution":{"observed_at":"2026-07-06T19:52:52.157065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.181746Z","title":"In: The thrity-seventh asilomar conference on signals, systems & computers, 2003 (2003)","venue":null,"work_id":"86e1b808-1efb-43ea-b05b-4e0959514f6f","year":2003},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:2b9cd8e66d601841c87235ed6f0d35817020177fd269a197bbfadcda5baf806d","observation_id":"5f3841d5-7b0c-4364-8929-d068c18d2a1c","resolution":{"observed_at":"2026-07-06T19:52:52.186652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.02324","last_updated":"2025-08-04T11:49:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-04T11:49:20Z","title":"Qwen-Image Technical Report","version":1},"cited_work":{"arxiv_id":"2508.02324","doi":"10.48550/arxiv.2508.02324","metadata_source":"pith","pith_arxiv_id":"2508.02324","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen-Image Technical Report","venue":"cs.CV","work_id":"d06d7ecc-7579-4f89-a60b-4278a0f3c562","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"cited_paper":"/paper/2508.02324","citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:2d54473d6df49c7e84f2d2eb11342b7054ec3b15dd882abd64ec1187637e5f33","observation_id":"d69c8201-a1ed-4106-bdcd-229f39229601","resolution":{"observed_at":"2026-07-01T09:55:41.293492Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-05-21T15:23:05.016381+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T15:23:05.016381+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.141852Z","title":"ICML (2024)","venue":null,"work_id":"51a1ba57-4d6f-45c9-b2b8-1779529a53ca","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:244608394ed21e67152608a40b5cb752dcf067f044c25737db566e0673f3fff5","observation_id":"bfd2eee0-f509-4feb-be93-68478d740d2d","resolution":{"observed_at":"2026-07-06T19:52:52.143338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.104273Z","title":"In: CVPR (2026)","venue":null,"work_id":"df2db575-359c-4743-b7e8-dbba48635474","year":2026},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:9f0bb4925efb5fbcf9b19e49306898ec84288abbc0f73ae8cb8d0599a5811a85","observation_id":"5f9abec0-dd78-48ec-9d42-2415fcbba2c6","resolution":{"observed_at":"2026-07-06T19:52:52.105666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.02620","last_updated":"2025-06-03T08:36:03Z","snapshot_observed_at":"2026-08-11T21:11:34.587142Z","submitted_at":"2025-06-03T08:36:03Z","title":"FlexPainter: Flexible and Multi-View Consistent Texture Generation","version":1},"cited_work":{"arxiv_id":"2506.02620","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.02620","snapshot_observed_at":"2026-07-03T17:18:43.400264Z","title":"Flexpainter: Flexible and multi-view consistent texture generation","venue":null,"work_id":"074a55b1-d9fb-44dc-9b5a-365160aeba6d","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"cited_paper":"/paper/2506.02620","citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:21302522844906c624e9e534a999fbb5d9a2d4552996216bc60f33c51779527b","observation_id":"ff8e3008-ee62-43d2-a064-6bfecfc78dc2","resolution":{"observed_at":"2026-07-01T09:55:41.296390Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.122595Z","title":"In: ICLR (2025)","venue":null,"work_id":"afd9ecde-0f5c-4935-8679-ae83127f0528","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:9e8e2c863f8c9e4df812034d2b4889046a0a4a25a43905ddbdd2f58846759783","observation_id":"5fcfdddb-3111-4968-ac70-5a0d5f364b1e","resolution":{"observed_at":"2026-07-06T19:52:52.124094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.130975Z","title":"ICLR (2025)","venue":null,"work_id":"c4ca1fef-16d7-461b-8d75-63529deb448c","year":2025},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:843a94d860a9216e9b08bd1a70c07bb1c21836239df3367ad5b6eab1241bdc00","observation_id":"c4459e13-af60-48e9-ab3e-ebb4375c5f82","resolution":{"observed_at":"2026-07-06T19:52:52.132259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.171666Z","title":"In: CVPR (2024)","venue":null,"work_id":"0c22a565-a42a-45c2-a73b-f8d245c841cc","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:2a6dddf170a8e4c349cf2e695c9f74e4c872eb39318e1ecdb206084e3cd4aad1","observation_id":"b878a45c-5dba-4d21-98f1-a2176db49ed7","resolution":{"observed_at":"2026-07-06T19:52:52.173183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.186441Z","title":"In: CVPR (2024)","venue":null,"work_id":"6aeb8839-88ab-4de7-acf8-ded5856a3483","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:0f9083c9ce77d871e04ea595998d64dcc23a39be26606719d354263e86938b9a","observation_id":"979014fc-ffc1-469d-be2e-cf49ecbe30df","resolution":{"observed_at":"2026-07-06T19:52:52.187796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.116915Z","title":"In: SIGGRAPH (2024)","venue":null,"work_id":"8ccf5631-7759-464a-912a-307eded6533a","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:c7f0d67bf4923b31a7f189bf51e2c5ce141c2534dcfd072e652df04e3fefc832","observation_id":"44ce70cc-be68-41c9-bae6-f6f0782722c4","resolution":{"observed_at":"2026-07-06T19:52:52.118982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.009463Z","title":"IEEE transactions on Image Processing (2011)","venue":null,"work_id":"ecc9b507-f6d1-46a3-8610-5f01cc25113b","year":2011},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:e162502605f788b8eb8a1aa807441e417800dd55bc520241bd46dff0ddd65a37","observation_id":"910188ba-7c3f-4584-b1a3-0f27b0b5c99b","resolution":{"observed_at":"2026-07-06T19:52:52.013464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.031467Z","title":"In: ICCV (2023) Accelerated Likelihood Maximization for Versatile Content Generation 19","venue":null,"work_id":"72d32bb8-f083-4d10-a57f-3810a9a5e1a8","year":2023},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:e30011b00b247f7601a31547e9ed63ab7159226d21e84d28acfd316508b4c9a3","observation_id":"07bd9d59-e594-4630-a2df-5951668fbb3a","resolution":{"observed_at":"2026-07-06T19:52:52.032912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-11T01:57:52.645171Z","title":"In: CVPR (2018)","venue":null,"work_id":"e6612384-32e7-4f87-ac1a-6cec681032eb","year":2018},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:726e9f939d45a87e85ed7d17c220ee6b1c7c0cbd420e6805edac7d36ec4363b9","observation_id":"7615af6b-88b9-4bb7-b0de-10412f24f6f2","resolution":{"observed_at":"2026-07-06T19:52:52.171060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.194567Z","title":"In: ECCV (2024) 20 H","venue":null,"work_id":"9b28a0e9-ab08-4b34-a265-a99b32916a4a","year":2024},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:f7f011d38751c32cc488c90e0dddef4c69c7f393e74a8f5a388a5b66683d65a9","observation_id":"e394b802-9b65-4fd9-8027-3af6e86c6de1","resolution":{"observed_at":"2026-07-06T19:52:52.197599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-07-06T19:52:52.175464Z","title":"A photo of a forest with a misty fog","venue":null,"work_id":"699c5cc5-91df-4575-a2b3-f9d545567784","year":null},"citing_paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-07-01T06:00:58.204040Z"},"links":{"citing_paper":"/paper/2606.31323"},"observation_digest":"sha256:ad48ef3405372ea283294d82bad3777093920b333b9ed808e6f621fb4679bf17","observation_id":"42517940-1429-45c1-8420-a254a467ffd6","resolution":{"observed_at":"2026-07-06T19:52:52.177151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.31323","last_updated":"2026-06-30T08:27:29Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T16:09:14.194752Z","submitted_at":"2026-06-30T08:27:29Z","title":"Accelerated Likelihood Maximization for Diffusion-based Versatile Content Generation"},"reference_resolution":{"displayed":77,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":70},"total_outbound_references":77},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2606.31323."}