{"as_of":"2026-08-07T07:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:62daa7d4e27a34461c9330816e41e0749edd7a488cc12472c2b8c9e59d290392","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T06:16:20.612291Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T17:07:57.743780Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-03T00:37:29.795659Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"cited_work":{"arxiv_id":"2605.12480","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.12480","snapshot_observed_at":"2026-07-03T00:37:29.795659Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","venue":"cs.CV","work_id":"3d2806b4-b3c2-4bdc-b10d-e672c9174cec","year":2026},"citing_paper":{"arxiv_id":"2606.09150","last_updated":"2026-06-08T07:45:03Z","snapshot_observed_at":"2026-08-02T23:32:24.283446Z","submitted_at":"2026-06-08T07:45:03Z","title":"Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-27T17:07:57.743780Z"},"links":{"cited_paper":"/paper/2605.12480","citing_paper":"/paper/2606.09150"},"observation_digest":"sha256:6865243bb8b81a31547dbe20d12d9c559792e4de4390610e929ca95e583752c0","observation_id":"a73a3a1f-3c7c-4d68-b8c0-cdc50d5cde2b","resolution":{"observed_at":"2026-07-03T00:37:29.797241Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2605.12480/citation-record","integrity":"/paper/2605.12480/integrity","json":"/paper/2605.12480/citation-record.json","paper":"/paper/2605.12480"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":"2311.15127","doi":"10.48550/arxiv.2311.15127","metadata_source":"pith","pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","venue":"cs.CV","work_id":"4f68eada-27e3-437a-a2fe-6e4ca524d0d3","year":2023},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:4613fed41038e9f8e762f17dd5f379e74cfd9bb1a71f9353957b338de2916483","observation_id":"4dc386b4-a694-4d6b-996e-b3d8b06be350","resolution":{"observed_at":"2026-05-13T06:17:22.926828Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-11T15:53:24.472993+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T15:53:24.472993+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00045","last_updated":"2025-05-28T12:23:09Z","snapshot_observed_at":"2026-07-06T21:33:55.658995Z","submitted_at":"2025-05-28T12:23:09Z","title":"ACE-Step: A Step Towards Music Generation Foundation Model","version":1},"cited_work":{"arxiv_id":"2506.00045","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.00045","snapshot_observed_at":"2026-07-03T21:48:59.860115Z","title":"Junmin Gong, Sean Zhao, Sen Wang, Shengyuan Xu, and Joe Guo","venue":null,"work_id":"0d4831b4-71c3-4405-b540-1683d26109f6","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2506.00045","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:e5535152ff278947648d1b4ff7dabd5150a625c4ae4504c81f655cf23ff35aa2","observation_id":"12dd018e-0aad-4d75-9e9d-1619b69a25eb","resolution":{"observed_at":"2026-05-13T06:17:22.920096Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2501.12948","doi":"10.1016/j.artmed.2024.103001","metadata_source":"pith","pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","venue":"cs.CL","work_id":"e6b75ad5-2877-4168-97c8-710407094d20","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:059125d1b1aa658541ab71d8ba58bfe40f6cfda2e4ec16d52d63970cff1ad570","observation_id":"be662eb6-447e-499c-a9b2-589de9280ed5","resolution":{"observed_at":"2026-05-13T06:17:22.923347Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.04725","last_updated":"2024-02-08T18:08:57Z","snapshot_observed_at":"2026-07-06T15:52:13.602170Z","submitted_at":"2023-07-10T17:34:16Z","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","version":2},"cited_work":{"arxiv_id":"2307.04725","doi":"10.48550/arxiv.2307.04725","metadata_source":"pith","pith_arxiv_id":"2307.04725","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","venue":"cs.CV","work_id":"1f9d1d3b-a6d6-45a9-9f13-51393c03be8a","year":2023},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2307.04725","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:d5d554bc438c81a128d48ca91ebfc548b5e1fe80250094bea6624841de6da004","observation_id":"a7a83924-9ad0-4f94-8c00-4aa561b22fb7","resolution":{"observed_at":"2026-05-13T06:17:22.873410Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2501.00103","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:596ffcc142f79177a06be4bdfd3b51949bb2bd53499e9ee3dd1009d62a186222","observation_id":"27021791-c230-4d85-ae73-158f8b233622","resolution":{"observed_at":"2026-05-13T06:17:22.908305Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03233","last_updated":"2026-01-06T18:24:41Z","snapshot_observed_at":"2026-07-06T22:40:51.136169Z","submitted_at":"2026-01-06T18:24:41Z","title":"LTX-2: Efficient Joint Audio-Visual Foundation Model","version":1},"cited_work":{"arxiv_id":"2601.03233","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.03233","snapshot_observed_at":"2026-07-10T01:46:41.047035Z","title":"LTX-2: Efficient Joint Audio-Visual Foundation Model","venue":"cs.CV","work_id":"1334671f-ee98-4c53-a1d4-0805281f8d2b","year":2026},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2601.03233","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:a245a821bd152705f048ed2ba71c7ee575d436394bc8b911630cb35966e5bc84","observation_id":"7b945336-8d84-4657-9638-6040fbf8ce0f","resolution":{"observed_at":"2026-05-13T06:17:22.861138Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.04324","last_updated":"2025-10-15T06:35:29Z","snapshot_observed_at":"2026-07-06T22:08:40.965707Z","submitted_at":"2025-08-06T11:10:39Z","title":"TempFlow-GRPO: When Timing Matters for GRPO in Flow Models","version":4},"cited_work":{"arxiv_id":"2508.04324","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.04324","snapshot_observed_at":"2026-07-09T03:05:55.312048Z","title":"TempFlow-GRPO: When Timing Matters for GRPO in Flow Models","venue":"cs.CV","work_id":"fecc731c-f8a2-4f00-ab1b-51b87a133726","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2508.04324","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:9d7237dc6e2829b1053c34e822d62da4919b202b9503f90ca28deadc784396d2","observation_id":"2ad5d61b-2ff8-426f-8e9e-e7c7c9ff3f53","resolution":{"observed_at":"2026-05-21T21:52:31.656662Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.15868","last_updated":"2022-05-29T19:02:15Z","snapshot_observed_at":"2026-07-06T13:15:58.303738Z","submitted_at":"2022-05-29T19:02:15Z","title":"CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers","version":1},"cited_work":{"arxiv_id":"2205.15868","doi":"10.48550/arxiv.2205.15868","metadata_source":"pith","pith_arxiv_id":"2205.15868","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers","venue":"cs.CV","work_id":"2dbd6bcd-fc98-4fbf-b586-f6d94fe1abd2","year":2022},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2205.15868","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:e22f7f9de5baf4a6a79a13355082ea38b3ae808563652849b6471beb4aa1c2dc","observation_id":"300f3a7f-94d1-49d4-ad7f-82225ffa8813","resolution":{"observed_at":"2026-05-13T06:17:22.898454Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Synchformer: Efficient synchro- nization from sparse cues","venue":null,"work_id":"8d9ad0f6-58a5-41f0-9268-49dd2b756a6a","year":2024},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:cd1b5f0fd62ae67dee17d54d9b5cc70023395ce6de5ba9aeca15ba68904deeda","observation_id":"1884f812-b595-46c1-9eab-013cb80bb174","resolution":{"observed_at":"2026-05-13T06:17:23.633805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00703","last_updated":"2025-07-01T11:46:57Z","snapshot_observed_at":"2026-07-06T21:17:42.853055Z","submitted_at":"2025-05-01T17:59:46Z","title":"T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT","version":2},"cited_work":{"arxiv_id":"2505.00703","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00703","snapshot_observed_at":"2026-07-04T13:29:50.900451Z","title":"T2i-r1: Reinforcing image generation with collaborative semantic-level and token-level cot","venue":null,"work_id":"8ee83e43-3a92-48b9-8551-c7853487c9f0","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2505.00703","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:f26ec73137dfa42d8f729756a18041bdb6ce4240e35110aad91c2fc1b7c1cef1","observation_id":"e6700c57-373d-48c6-b095-86a15dd7376c","resolution":{"observed_at":"2026-05-13T06:17:22.912538Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03603","last_updated":"2025-03-11T08:14:25Z","snapshot_observed_at":"2026-08-03T00:44:01.942521Z","submitted_at":"2024-12-03T23:52:37Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","version":6},"cited_work":{"arxiv_id":"2412.03603","doi":"10.48550/arxiv.2412.03603","metadata_source":"pith","pith_arxiv_id":"2412.03603","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"HunyuanVideo: A Systematic Framework For Large Video Generative Models","venue":"cs.CV","work_id":"881efa7e-7e73-4c66-9cc3-2803e551061c","year":2024},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2412.03603","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:7127c725dad8344869c734edcf6b41de84ab33e5d3759d3278d04b7dba83d9e8","observation_id":"392f24aa-cd26-4874-897c-73e018810d60","resolution":{"observed_at":"2026-05-13T06:17:22.857473Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-10T21:18:49.433177+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T21:18:49.433177+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21802","last_updated":"2026-03-20T17:20:12Z","snapshot_observed_at":"2026-08-01T16:12:11.335962Z","submitted_at":"2025-07-29T13:40:09Z","title":"MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE","version":6},"cited_work":{"arxiv_id":"2507.21802","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.21802","snapshot_observed_at":"2026-07-09T03:05:55.323624Z","title":"MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE","venue":"cs.AI","work_id":"8b0ab84a-b7ea-46ea-a6ba-bf490a84d251","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2507.21802","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:cc92f4984d5fdbe45825054716ff9f046727575c366ab57bd71f17d6dbae921a","observation_id":"855ab3cb-01ab-4590-87a2-c7f8f7a414ae","resolution":{"observed_at":"2026-05-13T13:27:50.191417Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-02T18:24:58.914589Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":"2210.02747","doi":"10.1038/s41467-024-47656-z","metadata_source":"pith","pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flow Matching for Generative Modeling","venue":"cs.LG","work_id":"6edb71c4-5d64-40af-a394-9757ea051a36","year":2022},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:82634870630f7655a3c5b7518c7e9aa3ace541d8712fa824fdd2865d52f1b9c1","observation_id":"205309c3-2cda-43b4-a340-73bd1dac37b3","resolution":{"observed_at":"2026-05-13T06:17:22.916304Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T22:57:59.860918+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.05470","last_updated":"2025-10-27T09:57:02Z","snapshot_observed_at":"2026-08-06T11:11:00.378627Z","submitted_at":"2025-05-08T17:58:45Z","title":"Flow-GRPO: Training Flow Matching Models via Online RL","version":5},"cited_work":{"arxiv_id":"2505.05470","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.05470","snapshot_observed_at":"2026-07-09T02:25:55.898592Z","title":"Flow-GRPO: Training Flow Matching Models via Online RL","venue":"cs.CV","work_id":"bf1e8e81-ff31-401a-a5dc-d9c49df168ab","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2505.05470","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:385e82105c943fb1ce2866b93817fe8c83e696b9b31a61423f58dc825e4055c1","observation_id":"b028b4da-2fc5-43f6-b702-f5cda34d6c80","resolution":{"observed_at":"2026-05-13T06:17:22.895840Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.13418","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T11:41:02.748637Z","title":"Reinforcement learning meets masked generative models: Mask- grpo for text-to-image generation.arXiv preprint arXiv:2510.13418","venue":null,"work_id":"dfbf0a23-5d2f-4e88-b176-47c2d8c3f10f","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:527f62748efae8361197bd3eec4ff801cd9520580699a56baf7880f690460eff","observation_id":"a91f9575-685c-4a1b-b450-6a4a6d1c9049","resolution":{"observed_at":"2026-05-13T06:17:22.902118Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.13507","last_updated":"2025-12-23T17:38:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-15T16:36:52Z","title":"Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model","version":3},"cited_work":{"arxiv_id":"2512.13507","doi":null,"metadata_source":"pith","pith_arxiv_id":"2512.13507","snapshot_observed_at":"2026-07-10T01:46:40.967365Z","title":"Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model","venue":"cs.CV","work_id":"02efb197-4e2b-4141-8587-21b92ad92f08","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2512.13507","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:02ff77df64bdb6a852e8259d8b8ae2185e996372b4c268635b6ca1eb13487591","observation_id":"1ebd594e-cd1e-4c7a-bae8-2a85e5baa869","resolution":{"observed_at":"2026-05-16T01:35:37.953991Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05139","last_updated":"2025-02-07T18:15:57Z","snapshot_observed_at":"2026-07-06T20:33:01.960703Z","submitted_at":"2025-02-07T18:15:57Z","title":"Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound","version":1},"cited_work":{"arxiv_id":"2502.05139","doi":"10.48550/arxiv.2502.05139","metadata_source":"pith","pith_arxiv_id":"2502.05139","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound","venue":"cs.SD","work_id":"7cba92d8-f51e-4a64-8d1d-6d4cf1f56377","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2502.05139","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:346b06db6face1a16d8d6a4a931590d6593489bc07a5816f31d10e00fd477d2b","observation_id":"d3267305-6caa-4017-b1eb-e5fb8da8e1b4","resolution":{"observed_at":"2026-05-17T00:30:51.554172Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":"2503.20314","doi":"10.1109/19.492748","metadata_source":"pith","pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","venue":"cs.CV","work_id":"ad3ebc3b-4224-46c9-b61d-bcf135da0a7c","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:30b990d4af0f3eaf1adbec3ec5ff0a3d1ef206dc060410f6affdd61ee947bc28","observation_id":"e95811c5-261b-4ff0-af4a-3416c73dda06","resolution":{"observed_at":"2026-05-13T06:17:22.888200Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.06155","last_updated":"2025-09-07T17:55:03Z","snapshot_observed_at":"2026-08-05T00:05:44.790684Z","submitted_at":"2025-09-07T17:55:03Z","title":"UniVerse-1: Unified Audio-Video Generation via Stitching of Experts","version":1},"cited_work":{"arxiv_id":"2509.06155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.06155","snapshot_observed_at":"2026-07-05T12:41:04.336871Z","title":"UniVerse-1: Unified audio-video generation via stitching of experts","venue":"cs.CV","work_id":"b460dec5-ca31-4982-8dc8-769dad75efb5","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2509.06155","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:09af2536b320d3f9e15cbef2df9a1faa390c98e83e914f9fee25a68b65ff6d77","observation_id":"40909ab5-c1bb-48c9-b9c9-873d1f379e59","resolution":{"observed_at":"2026-05-13T06:17:22.892743Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation","venue":null,"work_id":"59ad5b72-39c6-4ec0-bf7e-1abf1cf3e72a","year":2023},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:2d5c04183ef14c8aefe85346428726a59d478d797a0a683d8215440618debe1b","observation_id":"9750d8c9-1f13-41be-a117-f4abb0adb09c","resolution":{"observed_at":"2026-05-13T06:17:23.631649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07818","last_updated":"2025-08-28T17:19:45Z","snapshot_observed_at":"2026-07-31T14:51:03.625964Z","submitted_at":"2025-05-12T17:59:34Z","title":"DanceGRPO: Unleashing GRPO on Visual Generation","version":4},"cited_work":{"arxiv_id":"2505.07818","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.07818","snapshot_observed_at":"2026-07-09T03:05:55.316091Z","title":"DanceGRPO: Unleashing GRPO on Visual Generation","venue":"cs.CV","work_id":"7404dd36-8f9c-478f-b089-ef9f8189c711","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2505.07818","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:049f5a05836e6b034c09071a8abc77fe489997d106df2a39322683af2db45c2b","observation_id":"5ab3ade3-262f-4b3b-87f8-8d4cb74e0407","resolution":{"observed_at":"2026-05-13T06:17:22.863951Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.18766","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T23:05:07.235657Z","title":"Maskfocus: Focusing policy optimization on critical steps for masked image generation","venue":null,"work_id":"6f12a77e-b9a2-47df-b9cf-8d2de8ae804a","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:71aee23e6e88f352bbcd919ea7db846ab0fb88aa3e45f443878ed11a6f533334","observation_id":"ccc090f9-7b05-45ce-bb1d-82e5bbde78d5","resolution":{"observed_at":"2026-05-13T06:17:22.905797Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.16117","last_updated":"2026-02-16T17:14:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-19T16:09:33Z","title":"DiffusionNFT: Online Diffusion Reinforcement with Forward Process","version":2},"cited_work":{"arxiv_id":"2509.16117","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.16117","snapshot_observed_at":"2026-07-04T19:50:11.382174Z","title":"DiffusionNFT: Online Diffusion Reinforcement with Forward Process","venue":"cs.LG","work_id":"0ed3cf57-36ba-4962-847e-7a8f5f99901d","year":2025},"citing_paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T06:16:20.612291Z"},"links":{"cited_paper":"/paper/2509.16117","citing_paper":"/paper/2605.12480"},"observation_digest":"sha256:b8d8f3f64777dfbc56917317d2014fd40b9ed3c11984a56443ca13de3b0393a7","observation_id":"d092edc2-7126-4bbd-8918-0df2b68d53bd","resolution":{"observed_at":"2026-05-13T16:54:31.055857Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.12480","last_updated":"2026-05-12T17:56:59Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:24:08.763444Z","submitted_at":"2026-05-12T17:56:59Z","title":"OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":19,"verified_fuzzy":2},"total_outbound_references":23},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2605.12480."}