{"as_of":"2026-08-19T07:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6bb0d912445b0c2fece263c0ad15fcbab8a0df0f0212048ebb43adbe4e4d923d","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-07T13:57:15.128945Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2607.05381/citation-record","integrity":"/paper/2607.05381/integrity","json":"/paper/2607.05381/citation-record.json","paper":"/paper/2607.05381"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T14:03:48.910144Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"69e055f8-2a49-4705-ad5a-5566155566ff","year":2024},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:1fd2524bfaeb2b6ba35b9a750e2028e9364b5602e516fea54f9f44ad67df0859","observation_id":"4b78a531-9a9f-4928-8d8b-c3d26e022bfe","resolution":{"observed_at":"2026-07-07T14:03:48.911774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.915961Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"6d3ca217-fab5-49d9-b86c-5e09228d5d7e","year":2021},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:9ae985a7e55ea8931fa9975ab0618561f447cca953d161b457c4485fcf1ceb7a","observation_id":"68358f05-0ba9-4760-9746-0fccb0f66329","resolution":{"observed_at":"2026-07-07T14:03:48.917214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.892851Z","title":"and Welling, Max , booktitle =","venue":null,"work_id":"ac535941-e1dc-4ad8-9fd0-b5d34e7da638","year":2014},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:27564ee0cc5ddba4ff504226032945716e5360db20f647ad8658e82a8591c0a3","observation_id":"23f036dd-851f-4d81-8c23-8a5b42bced92","resolution":{"observed_at":"2026-07-07T14:03:48.894410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.914266Z","title":"Proceedings of the 31st International Conference on Machine Learning (ICML) , series =","venue":null,"work_id":"1a644022-d007-4e7e-ba0f-c60d26db2027","year":2014},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:c59ca9e51a69579f7b5c12e9edea02266ca80c430d8fb5f022fe03bfb774ff79","observation_id":"253ddb5f-29d0-470d-abc1-a5389ff5aeeb","resolution":{"observed_at":"2026-07-07T14:03:48.915684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.887415Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"5f3e9e02-1ae4-4ebb-9b79-464c2622b482","year":2022},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:898b5d80bb853504e5a9b38225036736d1e90adaa9458641fcae28e174033866","observation_id":"570b9c8e-7c3f-43cd-9e3a-9bba10e3bab3","resolution":{"observed_at":"2026-07-07T14:03:48.889347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.896777Z","title":"Proceedings of the 42nd International Conference on Machine Learning (ICML) , series =","venue":null,"work_id":"a0142ac7-9ebf-4acb-a26c-7c039656e0b7","year":2025},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:e9fd65eca9cfee327ae8331b4fd806f9cb19bc409d6576062d5877361b152179","observation_id":"6df802b3-e491-4241-b8a2-8875df9d1b5b","resolution":{"observed_at":"2026-07-07T14:03:48.897913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.901241Z","title":"2026 , eprint =","venue":null,"work_id":"b71a7a30-c3a9-4738-9927-def756902204","year":2026},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:8ebd3883240277a315ebd1ce447337255f54190ba6335b00c571b3830b946a44","observation_id":"9dfa7a9b-30f5-45c1-861b-644342abb903","resolution":{"observed_at":"2026-07-07T14:03:48.902664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.905351Z","title":"International Conference on Learning Representations (ICLR) , year =","venue":null,"work_id":"bb59162d-5e47-4531-83b9-5c4c09d87332","year":null},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:921e97bd6228f6be1833209b319bcea9d9c8ca1d9a9e518367b6a9ba7704a29a","observation_id":"c5b64b68-7ecb-4069-a897-c405963f0b66","resolution":{"observed_at":"2026-07-07T14:03:48.907172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.872424Z","title":"Proceedings of the 41st International Conference on Machine Learning (ICML) , series =","venue":null,"work_id":"7e562ea2-c450-4073-afcd-7a316cf1b2d2","year":2024},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:f7ae4cf09cef47e3a62b003f6a92c06f5d09661633238310591941466d9f445b","observation_id":"619c8634-6cba-46b9-9ac4-4dd18d2cdd59","resolution":{"observed_at":"2026-07-07T14:03:48.873990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.912000Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"791fe417-99f9-463e-ab57-69551cf2c5be","year":2021},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:dd0111a84241458dbc8cc5fb8516d20194971b592d21faa22a75d6970e4653aa","observation_id":"5563101f-0c81-4e63-83a1-bf9678bc53a5","resolution":{"observed_at":"2026-07-07T14:03:48.913398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.895125Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"e200d0bb-7a77-4345-93f7-6611873ba5b7","year":2021},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:3ab9cf6a13fa7a309243f7c54da7a9749ef4dc1dbc59db9e46daa4fd5c60330d","observation_id":"f0898f0e-d3f3-40bb-a68d-be77f458ca78","resolution":{"observed_at":"2026-07-07T14:03:48.896254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.855007Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"2ea45cef-e9ba-46f1-a026-8cf7e4477e13","year":2024},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:56bb94dc1f09107d23393b335979c9cc2a7cf809b3f8d48a7e3246bf497c29eb","observation_id":"a3cfb135-8645-43ad-a019-ffa763b65354","resolution":{"observed_at":"2026-07-07T14:03:48.856336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.897049Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"6912c0c9-76a0-4e23-a5ce-c857de6a4aeb","year":2022},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:7471f2b584522a3121b466b4c140a3717b30e596c42164057dd0ba1b80c3a43c","observation_id":"62294065-9c31-49d7-bb4e-1494bd919ae5","resolution":{"observed_at":"2026-07-07T14:03:48.898605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.903126Z","title":"Advances in Neural Information Processing Systems , volume =","venue":null,"work_id":"a5befa82-dbde-4fdb-8cba-7c6e75c306d0","year":2024},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:8bb151e98942b1754d5c55ee73cc84c011133a074f9aca2b269c925f39f9b708","observation_id":"1394e913-1af2-4458-8473-64bebf6719cc","resolution":{"observed_at":"2026-07-07T14:03:48.904628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.15014","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T14:03:48.720709Z","title":"Scaling beyond masked diffusion language models","venue":null,"work_id":"9be592e9-46be-42df-be99-74ca4a99ff8d","year":2026},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:40555ac48305752020def2d2fac356143e5bd612832ac308553ea9baff85138a","observation_id":"4548aa76-1f95-4850-85d1-c667bcd4f188","resolution":{"observed_at":"2026-07-07T14:03:48.722672Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.928274Z","title":"Proceedings of the 42nd International Conference on Machine Learning (ICML) , series =","venue":null,"work_id":"ea5a1a86-d812-4b31-a965-29b267873364","year":2025},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:2badb2e56e166ce3002299284dc54f1336fcf1ffdbfbf7f439e3bc36c0eeba7d","observation_id":"cf1a5e34-d275-4482-b898-6b2868ed9105","resolution":{"observed_at":"2026-07-07T14:03:48.929695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.921592Z","title":null,"venue":null,"work_id":"8ead3817-10c4-4241-a1a6-0e8f1d06a4bc","year":2025},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:f3bb2e83bb703017067f0a576be20102776cae29b8d24cb2fa2ff12bd4d9ea72","observation_id":"085c964b-c02b-43e4-8966-12a2ba506c78","resolution":{"observed_at":"2026-07-07T14:03:48.922927Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.874788Z","title":"International Conference on Learning Representations (ICLR) , year =","venue":null,"work_id":"9c2daf79-f3ea-40a8-8ba5-76685f1f83bf","year":null},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:cafd248c09666364996e92ca7072ec773be1445b0b883e2ab777aa5319bbeb59","observation_id":"c93e4211-78cc-435b-94a1-c5283e5bf244","resolution":{"observed_at":"2026-07-07T14:03:48.876487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.919831Z","title":"Proceedings of the 42nd International Conference on Machine Learning (ICML) , series =","venue":null,"work_id":"e785ffcb-11d0-403b-babf-bdd79b240485","year":2025},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:ec41bcd83d3654f13856ba9452494631f4f67a874dffcadcb706ef5a40110d4c","observation_id":"a8e448c4-eccc-40bf-882e-5f40cfa8d0b6","resolution":{"observed_at":"2026-07-07T14:03:48.921046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.923468Z","title":"On the Optimality of Conditional Expectation as a","venue":null,"work_id":"2d95a193-0607-4927-92d6-caa2c452e93f","year":2005},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:0b724024b5c13df1939f8cd0fa94b68377aee69388aa6e0e826c9858353c41b7","observation_id":"766b17fc-dc26-481c-b831-f187cf08b27c","resolution":{"observed_at":"2026-07-07T14:03:48.924795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.925598Z","title":"2025 , eprint =","venue":null,"work_id":"5fb90eff-1d5c-442f-907e-121e18da4fc2","year":2025},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:293a6b08fe66766927d0b286486b8f5ef0441c5c501e72a51b9a3a5254fb4437","observation_id":"63bf03a7-0f77-4bf9-b925-4187b204bb30","resolution":{"observed_at":"2026-07-07T14:03:48.926897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.912414Z","title":"Proceedings of the 32nd International Conference on Machine Learning (ICML) , series =","venue":null,"work_id":"27a8acf7-6323-43fd-b016-448ed1d03ad0","year":2015},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:acab2b1d050744075b0601f2275293723c05c49645e52e3ce6e4ec6914126e4e","observation_id":"17966310-fc3a-4f0d-97a4-42477b9ede45","resolution":{"observed_at":"2026-07-07T14:03:48.913705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.899254Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , volume =","venue":null,"work_id":"4c640ca5-8d47-4ea9-a450-49507d240d20","year":2020},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:27a44bb606c0d3d89760a86ff57d11eb4107022a2f3b50ed276c7f54cff46f6f","observation_id":"ca93e842-21d9-48bd-ad91-b9cc45183613","resolution":{"observed_at":"2026-07-07T14:03:48.900467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.903371Z","title":null,"venue":null,"work_id":"43a6d69e-d6e9-4cda-8603-6183616052e0","year":1997},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:42d4dfc9f1eec8263ada65068e60c5a5164e8fbc55610b7517da093f90fa0148","observation_id":"d69089c0-f1dc-48f7-9bdb-2b2947707b2a","resolution":{"observed_at":"2026-07-07T14:03:48.904926Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.866867Z","title":"2003 , doi =","venue":null,"work_id":"32c98dd8-21fb-4d7e-9f3a-36caa24cef40","year":2003},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:f0f1081a0c3158ae326c63c4942c7f5b733a7bb796e40352239ec84bd286e62b","observation_id":"6eb28dcb-ceea-4c80-addd-461db4985e94","resolution":{"observed_at":"2026-07-07T14:03:48.868120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.879594Z","title":"1981 , isbn =","venue":null,"work_id":"d3e01191-58b7-48cc-85d0-264172aa7e0e","year":1981},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:eba8580fc044929b2648032913cf9969551a32d58eb609bba4235a2a48870df1","observation_id":"09d2face-5e94-4dc1-951e-0d88b204484a","resolution":{"observed_at":"2026-07-07T14:03:48.881043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.870113Z","title":"2011 , doi =","venue":null,"work_id":"b61acbc0-99fa-4aa4-85c3-030e516e97e8","year":2011},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:4ac61756c304474ff249ff442827bf765fbaf79a14811509282bd8033ec103cb","observation_id":"ec9a6c5b-5229-4b02-a30b-f88e0273535b","resolution":{"observed_at":"2026-07-07T14:03:48.871686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.907717Z","title":"Proceedings of the 38th International Conference on Machine Learning , series =","venue":null,"work_id":"fc416711-1d0d-438a-8562-1a87a8c43108","year":2021},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:edeef38e74b6b03b34964d0f2e28199568be86d5d8b3d7c75ffb74177867b456","observation_id":"d31b0051-9422-4746-859f-4c9ea192f630","resolution":{"observed_at":"2026-07-07T14:03:48.908957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.18647","last_updated":"2026-05-27T11:26:23Z","snapshot_observed_at":"2026-08-17T08:44:56.425599Z","submitted_at":"2026-02-20T22:45:01Z","title":"Noise Scheduling as Information-Guided Allocation in Diffusion Training","version":2},"cited_work":{"arxiv_id":"2602.18647","doi":"10.48550/arxiv.2602.18647","metadata_source":"pith","pith_arxiv_id":"2602.18647","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2602.18647 , year =","venue":"cs.LG","work_id":"c1e8d332-4b52-48aa-b541-2a1d5b88450b","year":2026},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"cited_paper":"/paper/2602.18647","citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:8ecc3223d2455ba11c11a31abb63115d4dae7170af48ffa89941217609894835","observation_id":"16871a2b-0e27-42c7-898b-e92d3b4e97d4","resolution":{"observed_at":"2026-07-07T14:03:48.467675Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-07-11T16:19:04.121127+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T16:19:04.121127+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.24088","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T14:03:48.724168Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , year =","venue":null,"work_id":"69138294-3496-4a03-aa2b-187171bb5766","year":2025},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:05ea0a9a4ab4c54680c11ed318eefddd46e06de77b2ba55cc521ac3cef4ad996","observation_id":"302888ec-0280-4e6a-8186-95c76f6bc514","resolution":{"observed_at":"2026-07-07T14:03:48.725991Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.862987Z","title":"Mutual Information, Relative Entropy, and Estimation in the","venue":null,"work_id":"cf6bc39a-d3e5-46ff-be77-0133ca7cad4f","year":2012},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:94393973f4583f2e50cb97bc34636a9f7a778023147a2482b56e052148c72220","observation_id":"e0206425-c95b-4b17-921a-a59255812b70","resolution":{"observed_at":"2026-07-07T14:03:48.864348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.864923Z","title":"International Conference on Learning Representations (ICLR) , year =","venue":null,"work_id":"8f280cc1-3a03-497a-94ff-eadb4d7e95cb","year":null},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:1198340a5c94a4358128faf02a3dbc158f6a8015106cf46b6e8adba1064e30ca","observation_id":"89580ee8-6fef-4998-8fda-81f03a7b188b","resolution":{"observed_at":"2026-07-07T14:03:48.866290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.917864Z","title":"Mutual Information and Minimum Mean-Square Error in","venue":null,"work_id":"674c0c46-5d5c-4241-a6dc-d33f9cded226","year":2005},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:e342a582d3cfb1dd1f755d003548ffcbc8068ea10845e21fd4b792333189a482","observation_id":"e8fc7f6f-8eb5-4dcf-8d28-b2225735f9f5","resolution":{"observed_at":"2026-07-07T14:03:48.919200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.894993Z","title":"Proceedings of the 41st International Conference on Machine Learning (ICML) , series =","venue":null,"work_id":"1e50ea88-3a29-42be-a7e5-c874b5415bf8","year":2024},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:4cec495aeb9e85816672fd93a15e84339d6538dcf01ffcb9a68b903931ea1d00","observation_id":"b775b2ef-c630-4242-9818-13bae406458d","resolution":{"observed_at":"2026-07-07T14:03:48.896439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.05737","last_updated":"2024-08-02T16:09:14Z","snapshot_observed_at":"2026-08-16T15:56:02.716422Z","submitted_at":"2023-02-11T16:26:57Z","title":"A Reparameterized Discrete Diffusion Model for Text Generation","version":3},"cited_work":{"arxiv_id":"2302.05737","doi":"10.48550/arxiv.2302.05737","metadata_source":"pith","pith_arxiv_id":"2302.05737","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A reparameterized discrete diffusion model for text generation","venue":"cs.CL","work_id":"e2ab2b71-c375-49cc-be9c-fdbb182e8d64","year":2023},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"cited_paper":"/paper/2302.05737","citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:5dfe202a0553a0e0fab40a231ad4a89aa237ffbb5313c6e9e16b08ac453f3da4","observation_id":"3cd0e888-9e76-4ea7-8137-9e56ea8b3dcb","resolution":{"observed_at":"2026-07-07T14:03:48.719468Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.850001Z","title":"Neural Computation , volume =","venue":null,"work_id":"3990f0bd-e99e-4637-990b-1dd5e1a2db87","year":2011},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:cb8e0862d26781be1eef012f5fd5df12b55f6bcfc5558827dfee93a680b7f97b","observation_id":"c490d7a4-1ecf-4698-80cc-b428152b5a38","resolution":{"observed_at":"2026-07-07T14:03:48.851159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.913926Z","title":"International Conference on Learning Representations (ICLR) , year =","venue":null,"work_id":"a771f85a-4fb5-487f-b9ae-5403e8e381cd","year":null},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:9167e1caba334ab77783e4e8992ebaa40abe2f82c463729f36f20fa3b5952e8f","observation_id":"dbf00adf-053e-4684-94e6-92915b74fd10","resolution":{"observed_at":"2026-07-07T14:03:48.915357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09992","last_updated":"2025-10-18T15:35:05Z","snapshot_observed_at":"2026-08-04T04:34:22.998376Z","submitted_at":"2025-02-14T08:23:51Z","title":"Large Language Diffusion Models","version":3},"cited_work":{"arxiv_id":"2502.09992","doi":"10.48550/arxiv.2502.09992","metadata_source":"pith","pith_arxiv_id":"2502.09992","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Large Language Diffusion Models","venue":"cs.CL","work_id":"cce0f4b3-ed4d-4375-b84d-3f01316016c1","year":2025},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"cited_paper":"/paper/2502.09992","citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:12af5a2349f5d67b004fc8816ad7c5445bb36d4c8f29ee4b4b7d1254a13c8fee","observation_id":"a8691d73-9702-45ab-a2fc-6d61427dcc8c","resolution":{"observed_at":"2026-07-07T14:03:48.716534Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.869939Z","title":"and Casella, George , edition =","venue":null,"work_id":"9ff60d4a-e16b-4a2e-a293-808110b43a2e","year":2004},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:5d05c160753c9ff6450db602d93397e692795ebe983562cf0b815d2d74aa7c9a","observation_id":"cf700f08-614f-4468-9481-735b50756051","resolution":{"observed_at":"2026-07-07T14:03:48.871174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.892338Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , year =","venue":null,"work_id":"8725fb45-88ad-459d-af45-44bd5c342769","year":null},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:219ec18409111a794c70b77811e324604d59dba0ced0511ac60ab31f161929e9","observation_id":"6bfff021-8ae5-4a29-b9f3-069427992cc2","resolution":{"observed_at":"2026-07-07T14:03:48.894537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.877787Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , year =","venue":null,"work_id":"347cda6d-d038-4064-aa90-a3a75809db5d","year":null},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:238e909e3aa25ae562535fe99463c7c38fed86ea96e51be26f80ba0d14cf98fa","observation_id":"f0d61f83-ce4a-43b7-ae58-a74e13167ffb","resolution":{"observed_at":"2026-07-07T14:03:48.879129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.867763Z","title":"From Denoising Diffusions to Denoising","venue":null,"work_id":"b50b3ef9-ef59-409b-9f63-afc74fc98a78","year":2024},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:9c7f5bd429b74f0fa7afcb0d5b91fa504659c385f9691a341d1ba2b74e3e4e24","observation_id":"1b55bd83-71ee-4948-860c-e67592967dd2","resolution":{"observed_at":"2026-07-07T14:03:48.868969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.877415Z","title":"Proceedings of the 29th International Conference on Machine Learning (ICML) , pages =","venue":null,"work_id":"65f51784-9208-4fac-8ac4-05747e4a3b35","year":2012},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:b270c623ad3d83b59953716f6ed8fa3b1ec161db1ddc6a6b7f6d26daf3a9d344","observation_id":"52a85d86-4392-4d93-bdfd-f7c650ea2b9d","resolution":{"observed_at":"2026-07-07T14:03:48.878983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.879748Z","title":"New Journal of Physics , volume =","venue":null,"work_id":"78c10cf0-81be-4e36-befa-215c6211f60c","year":2016},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:4c95ac344d3caa12a07ac367b72d1b22828d93790b3da415e1f64c1c0ddeb15c","observation_id":"e7c22fa5-9357-4277-b9f0-f404622237af","resolution":{"observed_at":"2026-07-07T14:03:48.880871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3374.155347","doi":"10.1145/1553374.1553477","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proceedings of the 26th Annual International Conference on Machine Learning (ICML) , pages =","venue":null,"work_id":"aa607581-9e80-45f4-83f0-3b8e735174f6","year":2009},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:f4f17491313091db91a4b7c68f0bd8186339e2ea343ecd80c819a65da347c5c4","observation_id":"88e9136e-1bba-4534-ab9f-bf3ccd17cdd4","resolution":{"observed_at":"2026-07-07T14:03:48.470566Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-07-11T16:19:04.375413+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T16:19:04.375413+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T14:03:48.898403Z","title":"Advances in Neural Information Processing Systems (NeurIPS) , volume =","venue":null,"work_id":"096530e8-e9b3-420a-bd96-c033587c649a","year":2013},"citing_paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-07T13:57:15.128945Z"},"links":{"citing_paper":"/paper/2607.05381"},"observation_digest":"sha256:5bd3a54d6639546e5c285a4baf0167d19bb8593d02a12c154a08db3d82b07249","observation_id":"15c22881-686c-4fa6-9359-4a0c82e3bb24","resolution":{"observed_at":"2026-07-07T14:03:48.899531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05381","last_updated":"2026-07-06T17:56:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T22:35:06.357044Z","submitted_at":"2026-07-06T17:56:11Z","title":"What Does a Discrete Diffusion Model Learn?"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":2,"verified_exact":3,"verified_fuzzy":38},"total_outbound_references":46},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.05381."}