{"as_of":"2026-08-22T14:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3b36541c2b944e35420d454f9ae169513ef8c539b796a97f95ced2bbe7d535fd","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T10:20:15.506161Z","state":"measured"},{"denominator":62,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":62,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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":"2026-08-15T23:19:45.934862Z","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":"2026-08-15T23:19:46.438743Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"cited_work":{"arxiv_id":"2502.08150","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.08150","snapshot_observed_at":"2026-08-15T23:19:46.438743Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","venue":"cs.LG","work_id":"d8f58b54-9ab0-4453-b3f2-769477544c00","year":2025},"citing_paper":{"arxiv_id":"2505.04946","last_updated":"2025-05-08T04:49:52Z","snapshot_observed_at":"2026-08-21T10:09:10.521902Z","submitted_at":"2025-05-08T04:49:52Z","title":"T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T23:19:45.934862Z"},"links":{"cited_paper":"/paper/2502.08150","citing_paper":"/paper/2505.04946"},"observation_digest":"sha256:1983a9bd25052ae6299f8813645d56b79e03918d13f6b4c5391061d6b8066942","observation_id":"30b3f5d9-030c-4d11-bd7f-8c9de14228f9","resolution":{"observed_at":"2026-08-15T23:19:46.442642Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.08150/citation-record","integrity":"/paper/2502.08150/integrity","json":"/paper/2502.08150/citation-record.json","paper":"/paper/2502.08150"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1701.07875","last_updated":"2017-12-06T20:01:54Z","snapshot_observed_at":"2026-08-17T13:47:14.071303Z","submitted_at":"2017-01-26T21:10:29Z","title":"Wasserstein GAN","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.07875","snapshot_observed_at":"2026-08-08T10:20:15.260631Z","title":"Wasserstein gan","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.260631Z"},"links":{"cited_paper":"/paper/1701.07875","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:0f32dcf996686cb3c20b6d593be106dd6d9de3b1cebec9db8a4ce917c7463211","observation_id":"e9f96e01-3b8f-4a5a-b841-6f43b9bd9c2a","resolution":{"observed_at":"2026-08-08T10:20:15.260631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.851838Z","title":"Language models are few-shot learners","venue":null,"work_id":"ace6d48c-2188-46e5-b142-c3f4fea00bc5","year":1901},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.265166Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:fdffbbfff630fc9aa00ef826a51b2fd0833130c24508d3db8bcb9aeee76e4b0b","observation_id":"abe44209-402a-4d37-86cf-bd12cf44e3bf","resolution":{"observed_at":"2026-08-08T10:20:16.855586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09982","last_updated":"2025-02-02T23:53:56Z","snapshot_observed_at":"2026-08-17T13:51:00.304228Z","submitted_at":"2025-01-17T06:46:10Z","title":"RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09982","snapshot_observed_at":"2026-08-08T10:20:15.269646Z","title":"Richspace: Enriching text-to-video prompt space via text embedding interpolation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.269646Z"},"links":{"cited_paper":"/paper/2501.09982","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:24d59f37420ec8395784c5d31f3d8448917dc0f5d6ca77cc1035614e9c2f87e8","observation_id":"791d6689-4906-4b5f-ba76-25f43aa430a6","resolution":{"observed_at":"2026-08-08T10:20:15.269646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00690","last_updated":"2025-02-02T06:29:23Z","snapshot_observed_at":"2026-08-14T08:39:06.619777Z","submitted_at":"2025-02-02T06:29:23Z","title":"Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies","version":1},"cited_work":{"arxiv_id":"2502.00690","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.00690","snapshot_observed_at":"2026-08-08T10:20:16.435671Z","title":"Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies","venue":"cs.LG","work_id":"d5b115d1-de16-4114-b4f1-b3c55588b3e0","year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.274186Z"},"links":{"cited_paper":"/paper/2502.00690","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:3563859fcc395247d13b20fdd56152cda93e7afef96b7ce25cd94f6623bc5c3d","observation_id":"4e4db1fb-01c6-4c2b-86a7-7df0cc3a0690","resolution":{"observed_at":"2026-08-08T10:20:16.439958Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06167","last_updated":"2025-02-10T05:36:30Z","snapshot_observed_at":"2026-08-13T16:11:29.220404Z","submitted_at":"2025-02-10T05:36:30Z","title":"Universal Approximation of Visual Autoregressive Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06167","snapshot_observed_at":"2026-08-08T10:20:15.278868Z","title":"Universal approximation of visual autoregressive transformers","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.278868Z"},"links":{"cited_paper":"/paper/2502.06167","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:5ac2bc465fc6581b3b320a8ace430f8e6157ed7a5cbc9cdd4fb24097146f3dcf","observation_id":"eb76f657-67b6-45ff-9970-12ae899ad648","resolution":{"observed_at":"2026-08-08T10:20:15.278868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10165","last_updated":"2025-02-24T08:42:25Z","snapshot_observed_at":"2026-08-18T13:01:58.711060Z","submitted_at":"2024-10-14T05:18:02Z","title":"HSR-Enhanced Sparse Attention Acceleration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10165","snapshot_observed_at":"2026-08-08T10:20:15.283385Z","title":"Hsr-enhanced sparse attention acceleration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.283385Z"},"links":{"cited_paper":"/paper/2410.10165","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:da6613644b1c43ed0c78fec73c89b636fcab8324ae98b54844358f7bf0e20857","observation_id":"81e3ff1e-15ca-4a96-8ad8-a79167ea6531","resolution":{"observed_at":"2026-08-08T10:20:15.283385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.840760Z","title":"Neural ordinary differential equations","venue":null,"work_id":"fa3d2d1f-e283-4b1f-ac0c-fc1ae6d8b2fe","year":2018},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.288064Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:0d5da322457d7ddee604db340ab749f59f0ab2a5eacd7a2ef808241c828aa966","observation_id":"56358d05-e560-46c8-881b-c12e4bc20d30","resolution":{"observed_at":"2026-08-08T10:20:16.844302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00500","last_updated":"2025-02-04T15:19:12Z","snapshot_observed_at":"2026-08-19T16:29:11.817831Z","submitted_at":"2025-02-01T17:40:11Z","title":"Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00500","snapshot_observed_at":"2026-08-08T10:20:15.291981Z","title":"Video latent flow matching: Optimal polynomial projections for video interpolation and extrapolation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.291981Z"},"links":{"cited_paper":"/paper/2502.00500","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:267b74a171698a498f94191b73a0d5b355b783ba4f5046d2eb3b23184e939946","observation_id":"f5e19cf0-bfaf-408a-8806-cba79c7c5210","resolution":{"observed_at":"2026-08-08T10:20:15.291981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.830224Z","title":"Treequestion: Assessing conceptual learning outcomes with llm-generated multiple-choice questions","venue":null,"work_id":"3c321f3b-a78b-4fc4-9ff6-d2e921c79016","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.296375Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:d3c1870ad0c471293d0469654b669cf4d4e99522c23f6d07ac97e26d017647e2","observation_id":"9f9c1829-9cda-4eee-a86c-d2193d66c148","resolution":{"observed_at":"2026-08-08T10:20:16.834019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.819094Z","title":"Flownet: Learning optical flow with convolutional networks","venue":null,"work_id":"8bcb5dcb-f424-4110-ac76-551d5cddc11b","year":2015},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.300010Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:aece90a8cd59b337e51a74cb350c1c1228c06a3bf6746785fc88229b164da07b","observation_id":"6c59f864-a325-471c-9800-c930908f977d","resolution":{"observed_at":"2026-08-08T10:20:16.823126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04795","last_updated":"2025-05-24T13:36:27Z","snapshot_observed_at":"2026-08-16T13:54:28.152842Z","submitted_at":"2024-05-08T04:01:40Z","title":"Variational Schr\\\"odinger Diffusion Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04795","snapshot_observed_at":"2026-08-08T10:20:15.304036Z","title":"Variational schr \" odinger diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.304036Z"},"links":{"cited_paper":"/paper/2405.04795","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:9e70e9e3e75ae6f2a5e5b7e901070a9f522c14d7c4311a8bd2a5bc34a168f24e","observation_id":"29e04608-f74c-4a4d-ab8d-dcf594c4cd69","resolution":{"observed_at":"2026-08-08T10:20:15.304036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.806706Z","title":"Diffusion models beat gans on image synthesis","venue":null,"work_id":"987b7557-120a-41ae-ae98-919537023598","year":2021},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.308269Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:1c928e851a1b42aea6a9bd5249dfab60cdd6c877c1677a6b7ad449f3fbc520ad","observation_id":"aac03332-ece8-4c21-9c69-fc195b213eba","resolution":{"observed_at":"2026-08-08T10:20:16.811086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.794804Z","title":"Efficient video prediction via sparsely conditioned flow matching","venue":null,"work_id":"473ff835-2cc4-41be-a6f6-9df8c974c367","year":2023},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.312327Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:7e482ca62298ae8d6ba59ab32821adca8a6e4404be8175a94bb9ca9d477afb67","observation_id":"86688b8b-82f8-40b1-9b55-17b2b21c52a2","resolution":{"observed_at":"2026-08-08T10:20:16.798794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.782178Z","title":"Zur elektrodynamik bewegter k \\\"o rper","venue":null,"work_id":"b009c411-8b86-4f08-a206-9500825e8b61","year":1905},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.316429Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:372c0851365b74ea21b401bf41d3664215e9126fabc4f05d9909f49bf36c893a","observation_id":"edec1e4e-88ce-4688-a5ba-423cedf519e7","resolution":{"observed_at":"2026-08-08T10:20:16.786226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.770206Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":"3d64a2ca-1e3e-4c27-b8f2-058426f9e2f4","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.320646Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:82383903810bfff0cd4c9d047421c2440b9f350b51eeec89745d9ef7954ae1b8","observation_id":"90c8c7e3-3eaf-48ab-ac5f-7ca7bcf72bbb","resolution":{"observed_at":"2026-08-08T10:20:16.774046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10313","last_updated":"2024-11-24T18:44:27Z","snapshot_observed_at":"2026-08-19T17:30:11.022269Z","submitted_at":"2024-05-16T17:59:02Z","title":"How Far Are We From AGI: Are LLMs All We Need?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10313","snapshot_observed_at":"2026-08-08T10:20:15.324793Z","title":"How far are we from agi","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.324793Z"},"links":{"cited_paper":"/paper/2405.10313","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:61a3a2477ed8ef0069b3053412f964cea45eb2d32a5e814d8c369865d643f633","observation_id":"ad606014-34fc-4b33-9e72-72c995479969","resolution":{"observed_at":"2026-08-08T10:20:15.324793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.758526Z","title":null,"venue":null,"work_id":"6f429a73-78a3-450c-bbea-cb5101c21494","year":2018},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.329049Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:7996ec70b3b970e7f419f27afde10a22bb133a5a94921620bef081d1a3ef60d1","observation_id":"f7679492-2535-4936-91c6-e46c6747f244","resolution":{"observed_at":"2026-08-08T10:20:16.762163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.746675Z","title":"Layer compression of deep networks with straight flows","venue":null,"work_id":"33d0a3c7-9610-48e9-a99a-9f2a6956bc83","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.333286Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:35b28c255d1fed92d4de3ea574726f3dc489f9f64ac485650ea2fb0f05ce3390","observation_id":"616e3277-f5e7-48f9-936f-66bcc65684d5","resolution":{"observed_at":"2026-08-08T10:20:16.750558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.337465Z","title":"Generative adversarial nets","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.337465Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:e680d7181830e3b3749fb9b321f1308f71f85439186f6464a803b52dea4163f0","observation_id":"68c93bd9-5301-4697-af19-190ea7456b27","resolution":{"observed_at":"2026-08-08T10:20:15.337465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.341388Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.341388Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:c3bea60947b6f05742d6f4d710cf818a2cbea3bfdf103bf0836293aa4c01d7ab","observation_id":"3717ff73-f93d-434e-a678-0c7235f08dd2","resolution":{"observed_at":"2026-08-08T10:20:15.341388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.344990Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.344990Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:d0c6d777a461fe8874fb497480baf2ce9f13c32721ae7d3a6f4ec5389d6b55a6","observation_id":"f54565df-8e61-429b-96a6-d49e2a99de49","resolution":{"observed_at":"2026-08-08T10:20:15.344990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17522","last_updated":"2024-11-26T15:30:48Z","snapshot_observed_at":"2026-08-19T08:37:01.545448Z","submitted_at":"2024-11-26T15:30:48Z","title":"On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality","version":1},"cited_work":{"arxiv_id":"2411.17522","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.17522","snapshot_observed_at":"2026-08-08T10:20:16.370498Z","title":"On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality","venue":"stat.ML","work_id":"b4795d92-976d-48bf-872e-5088a4446a53","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.348698Z"},"links":{"cited_paper":"/paper/2411.17522","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:f682edac98ec32a49d6ba36b51f732bbe81c0cfa55bc960734fbab226ef6ea92","observation_id":"9c8f4fc1-dbf1-4682-b39a-93e2c4376111","resolution":{"observed_at":"2026-08-08T10:20:16.374724Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.714375Z","title":"On statistical rates and provably efficient criteria of latent diffusion transformers (dits)","venue":null,"work_id":"cd1fbb50-672e-4985-9dad-856cdcdea750","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.353048Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:66a43d35a4d4c07207cd490d1a5afa0952f488730ceb1f27f13408c4beb154fa","observation_id":"c24958bd-68b2-458d-bcfc-b81d05cb6b21","resolution":{"observed_at":"2026-08-08T10:20:16.718560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.703409Z","title":"FlowNet2 : Evolution of optical flow estimation with deep networks","venue":null,"work_id":"41ca60b2-5f17-4a79-a558-7dca6b8b12af","year":2017},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.356842Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:b3ba5925310844148ee2a9c347cf9043086c36c80cc66f6eb24d838e94668011","observation_id":"680f1e8c-da66-425b-9847-0449f9f620b6","resolution":{"observed_at":"2026-08-08T10:20:16.707025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.360532Z","title":"Pyramidal flow matching for efficient video generative modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.360532Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:2c33f67e1e04c8dc567ef202bcd42662b9a2e1f518da798000506d1d6f8fab69","observation_id":"1620cf83-ee4b-491e-b85f-b88298b6f711","resolution":{"observed_at":"2026-08-08T10:20:15.360532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.364409Z","title":"Elucidating the design space of diffusion-based generative models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.364409Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:125e59b1a6896a482475ad45851ff988861a775d0277e90b4871eba2b2fa64c5","observation_id":"787f103c-74e2-41df-b107-d518f174d434","resolution":{"observed_at":"2026-08-08T10:20:15.364409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.685688Z","title":"Analyzing and improving the training dynamics of diffusion models","venue":null,"work_id":"a93d6a69-03b2-4095-b4ac-810b556d485b","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.368477Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:fd37156f831e48a99b57a97e076db7edcd15da51cbf8aa30e7ab71b2914f9cdc","observation_id":"8ca58034-601b-4bac-bd1d-cde7b2182ae9","resolution":{"observed_at":"2026-08-08T10:20:16.689704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.672887Z","title":"On the translocation of masses","venue":null,"work_id":"ebd4ea18-7535-498e-8215-bea8d3210a19","year":1942},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.372443Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:e26a767f53fe1d42d3a26db036686241e6f55af08bb64cbf519246b835926a29","observation_id":"d7c26797-9021-4d2b-9ebf-df5a9faf50d6","resolution":{"observed_at":"2026-08-08T10:20:16.677187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04377","last_updated":"2025-02-02T23:48:36Z","snapshot_observed_at":"2026-08-13T12:10:23.400300Z","submitted_at":"2025-01-08T09:34:15Z","title":"On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.04377","snapshot_observed_at":"2026-08-08T10:20:15.376383Z","title":"On computational limits and provably efficient criteria of visual autoregressive models: A fine-grained complexity analysis","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.376383Z"},"links":{"cited_paper":"/paper/2501.04377","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:10bc3f10cd46d911fc2077dea57a4254866efa9b1f8b1ebdc57304ea64a95fd7","observation_id":"452bb941-a780-4011-bdcf-19c01c95c82a","resolution":{"observed_at":"2026-08-08T10:20:15.376383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04299","last_updated":"2025-01-08T06:07:33Z","snapshot_observed_at":"2026-08-13T12:09:44.937417Z","submitted_at":"2025-01-08T06:07:33Z","title":"Circuit Complexity Bounds for Visual Autoregressive Model","version":1},"cited_work":{"arxiv_id":"2501.04299","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.04299","snapshot_observed_at":"2026-08-08T10:20:16.152612Z","title":"Circuit Complexity Bounds for Visual Autoregressive Model","venue":"stat.ML","work_id":"a9e459d5-6685-45bb-8486-ecf324479a88","year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.380593Z"},"links":{"cited_paper":"/paper/2501.04299","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:22c5202ae242e410a5b3597a6ef43225e1168ec860faec0f6e48e8446f996b0d","observation_id":"2ac00036-95dc-4b19-9f42-dc10bcac59ef","resolution":{"observed_at":"2026-08-08T10:20:16.156769Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.384532Z","title":"Dpbloomfilter: Securing bloom filters with differential privacy","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.384532Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:a3e80671a6718d92e61aad32590f060782d127148748a2c1d81ce0d2247c5ac3","observation_id":"85c8fa12-9f90-4f47-b5b1-6076b15fec90","resolution":{"observed_at":"2026-08-08T10:20:15.384532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-08T10:20:15.388438Z","title":"Auto-encoding variational bayes","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.388438Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:2d08e2f501a0cbfdae424937eebef56dd007404fe6ae04f179632b39a9c6d9ea","observation_id":"7394ee55-6f2a-4439-8a95-cf6cd4c972ed","resolution":{"observed_at":"2026-08-08T10:20:15.388438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02747","last_updated":"2023-02-08T15:46:05Z","snapshot_observed_at":"2026-08-16T02:30:42.660030Z","submitted_at":"2022-10-06T08:32:20Z","title":"Flow Matching for Generative Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02747","snapshot_observed_at":"2026-08-08T10:20:15.392411Z","title":"Flow matching for generative modeling","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.392411Z"},"links":{"cited_paper":"/paper/2210.02747","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:8825df475e70244a86e4f0f1f0ce3a42a1a29e20d37b10ae313b5176b38a7456","observation_id":"6f0aee61-0fd1-4734-9942-c783028141a1","resolution":{"observed_at":"2026-08-08T10:20:15.392411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03003","last_updated":"2022-09-07T08:59:55Z","snapshot_observed_at":"2026-07-06T13:49:40.974495Z","submitted_at":"2022-09-07T08:59:55Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03003","snapshot_observed_at":"2026-08-08T10:20:15.396501Z","title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.396501Z"},"links":{"cited_paper":"/paper/2209.03003","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:0bf6ad2f00ebad339465cc9686119be15d96bbb7a6f936a39c70960577b62b8c","observation_id":"48a6a27d-b6d1-485d-9933-10d31adead78","resolution":{"observed_at":"2026-08-08T10:20:15.396501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.401952Z","title":"Exploring the frontiers of softmax: Provable optimization, applications in diffusion model, and beyond","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.401952Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:692fd9376ea8fdab43a4f8a30fdc534bf9a6fc3dd76dba57f461c1879932ee0d","observation_id":"59d50c72-de24-4582-8046-c9712574b40c","resolution":{"observed_at":"2026-08-08T10:20:15.401952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11081","last_updated":"2025-03-01T09:52:49Z","snapshot_observed_at":"2026-08-17T22:37:34.780172Z","submitted_at":"2024-10-14T20:43:25Z","title":"Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11081","snapshot_observed_at":"2026-08-08T10:20:15.405910Z","title":"Simplifying, stabilizing and scaling continuous-time consistency models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.405910Z"},"links":{"cited_paper":"/paper/2410.11081","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:4de5c9e6b0ccaa232481ef8ea377d68df494edb65438cd3c4a1537932c5541cb","observation_id":"fc35e39d-f500-406d-adaf-740592b6f0cb","resolution":{"observed_at":"2026-08-08T10:20:15.405910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09375","last_updated":"2025-02-20T10:24:53Z","snapshot_observed_at":"2026-08-16T13:10:07.189771Z","submitted_at":"2024-10-12T05:54:17Z","title":"Looped ReLU MLPs May Be All You Need as Practical Programmable Computers","version":2},"cited_work":{"arxiv_id":"2410.09375","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.09375","snapshot_observed_at":"2026-08-08T10:20:15.635238Z","title":"Looped ReLU MLPs May Be All You Need as Practical Programmable Computers","venue":"cs.LG","work_id":"37d856c0-1add-47b8-94ba-4b75acdd6048","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.410300Z"},"links":{"cited_paper":"/paper/2410.09375","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:658a3210b4187e9a3bd24440b021d798678b26cafe6f25647201192f145f472e","observation_id":"64e1ecdf-5818-4dd3-b1d7-c6a8883d1ca9","resolution":{"observed_at":"2026-08-08T10:20:15.639583Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13233","last_updated":"2024-10-15T04:11:19Z","snapshot_observed_at":"2026-08-16T13:24:16.127677Z","submitted_at":"2024-08-23T17:16:43Z","title":"Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13233","snapshot_observed_at":"2026-08-08T10:20:15.414553Z","title":"Multi-layer transformers gradient can be approximated in almost linear time","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.414553Z"},"links":{"cited_paper":"/paper/2408.13233","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:e31c0c8eb19a86532285a29a3f047c3f09a9e1c72f3983e1e5de94bae6967d20","observation_id":"ff9ebee8-c2c2-40b2-88bf-cef2552a20cf","resolution":{"observed_at":"2026-08-08T10:20:15.414553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.13621","last_updated":"2024-11-02T05:30:20Z","snapshot_observed_at":"2026-08-18T05:29:22.703558Z","submitted_at":"2024-07-18T15:57:55Z","title":"Differential Privacy Mechanisms in Neural Tangent Kernel Regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.13621","snapshot_observed_at":"2026-08-08T10:20:15.418795Z","title":"Differential privacy mechanisms in neural tangent kernel regression","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.418795Z"},"links":{"cited_paper":"/paper/2407.13621","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:106d9e5c7685154492983cd8b153c7456e51305b247eb5e369fb18fa4d922dad","observation_id":"b44ae3c7-c12a-4b97-bc0c-416400ba44af","resolution":{"observed_at":"2026-08-08T10:20:15.418795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16418","last_updated":"2024-10-14T03:59:47Z","snapshot_observed_at":"2026-08-19T03:28:41.011143Z","submitted_at":"2024-05-26T03:32:27Z","title":"Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16418","snapshot_observed_at":"2026-08-08T10:20:15.423342Z","title":"Unraveling the smoothness properties of diffusion models: A gaussian mixture perspective","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.423342Z"},"links":{"cited_paper":"/paper/2405.16418","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:292db636bb1a680575d793a79a76113eaa8e5d601ecaa62acbdd07ebe5ce1757","observation_id":"6cff407d-cd17-4948-bc9c-8e25735419e8","resolution":{"observed_at":"2026-08-08T10:20:15.423342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15579","last_updated":"2025-08-27T08:40:47Z","snapshot_observed_at":"2026-08-21T13:26:38.274367Z","submitted_at":"2024-12-20T05:23:45Z","title":"Score-based Generative Diffusion Models for Social Recommendations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15579","snapshot_observed_at":"2026-08-08T10:20:15.427796Z","title":"Score-based generative diffusion models for social recommendations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.427796Z"},"links":{"cited_paper":"/paper/2412.15579","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:a8a5f81c4a95765a2cefce34edbd2d499e02e4c30dfa85b425e51a71cabac97c","observation_id":"7d071357-27c3-45b1-919e-86f2cd8a380a","resolution":{"observed_at":"2026-08-08T10:20:15.427796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1784","last_updated":"2014-11-06T22:33:22Z","snapshot_observed_at":"2026-08-16T19:10:09.657437Z","submitted_at":"2014-11-06T22:33:22Z","title":"Conditional Generative Adversarial Nets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.1784","snapshot_observed_at":"2026-08-08T10:20:15.432065Z","title":"Conditional generative adversarial nets","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.432065Z"},"links":{"cited_paper":"/paper/1411.1784","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:ed948bd76b41972c2945fd64bd4f770bfac428846785122fa9cffde7d26c323f","observation_id":"ced89bff-de76-4fa6-ba99-fa4158d60664","resolution":{"observed_at":"2026-08-08T10:20:15.432065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.660986Z","title":"Memoire sur la theorie des deblais et des remblais","venue":null,"work_id":"c37ad629-f291-464f-bdc6-ac0c3905600c","year":null},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.436024Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:793cc1e3bcb315eaddc347d642255deac02e6b1a42672bea6b338041cb850faf","observation_id":"ada55b88-249a-47e9-89bd-0035adb016bc","resolution":{"observed_at":"2026-08-08T10:20:16.664887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.645302Z","title":"Pixel recurrent neural networks","venue":null,"work_id":"93f7fb5f-7ea7-4e84-aac7-299115c24952","year":2016},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.439927Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:10f46a4280b2d0858900dccd953cb5fb4793d610d6eac9e02c02b377a521d771","observation_id":"ab82fc22-fc81-4fb8-bb0e-3434a8dec31a","resolution":{"observed_at":"2026-08-08T10:20:16.651060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:15.443487Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.443487Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:a0a2896ae34501d53960d61a3ad36cf2e4ce3f345f14952b1e232864ed4e3dbf","observation_id":"3ec43d36-ffc9-4d18-99ab-4be31b06f2ad","resolution":{"observed_at":"2026-08-08T10:20:15.443487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.624797Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":"5e024c65-5e82-4dc7-9e13-42d04233f566","year":2015},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.447448Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:b3f310829504b0d1d72c35a2499ada235e6643445960ec54658d76cf29901bcc","observation_id":"ed125242-8de5-47b2-bdd7-525bd0b7d141","resolution":{"observed_at":"2026-08-08T10:20:16.628703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.612888Z","title":"Aligned diffusion schr \\\"o dinger bridges","venue":null,"work_id":"0375c78f-85d4-4e98-acd9-458896aed575","year":1985},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.451084Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:e97395a23590c3d34e4872b4f8773b9aa80fe989c81ff99ff0e0a95c57d50232","observation_id":"1a502ba6-56de-4cda-a5a2-26db9d7d510e","resolution":{"observed_at":"2026-08-08T10:20:16.616846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.602935Z","title":"Score-based generative modeling through stochastic differential equations","venue":null,"work_id":"266dc600-a0e2-4cd9-a7c8-90e1adcff6d6","year":2021},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.455077Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:a9e78b95742e794f3a9b04d7d68415a62217228899fb32d5630cc01217ab328d","observation_id":"0f354b20-a612-422a-a6b2-a7ff902e8294","resolution":{"observed_at":"2026-08-08T10:20:16.606463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.593366Z","title":"Lazydit: Lazy learning for the acceleration of diffusion transformers","venue":null,"work_id":"64a6d206-4dd4-4f09-b158-cc3b406837b0","year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.458831Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:98234f0435ea9850f3ff37d865dbb0f6eb3a2f16cc8aec337c4928c144e35bd9","observation_id":"2078c985-0c2a-47df-8a64-9c3e3864ae11","resolution":{"observed_at":"2026-08-08T10:20:16.596555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.583541Z","title":"Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, and Jiuxiang Gu","venue":null,"work_id":"09a1d887-00c0-4724-ab62-3ac482b0da21","year":2025},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.463182Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:c401294b92b7ac6ada918a7f3b37a699a269a4c0027b7c807f6963eac86bd4de","observation_id":"3ea42ac4-0561-4b8c-8c23-e45769098b82","resolution":{"observed_at":"2026-08-08T10:20:16.586829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.570241Z","title":"Visual autoregressive modeling: Scalable image generation via next-scale prediction","venue":null,"work_id":"78b69523-4051-4ebe-af63-a805e52a4543","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.467076Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:3bdb5ac9fa11d68bf4d510c1cc21903fe88e0b8593ef16ebb963ace76a505795","observation_id":"4271b209-2f32-4f66-839d-3f71ec112ab4","resolution":{"observed_at":"2026-08-08T10:20:16.576247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.556743Z","title":"Optimal transport: old and new","venue":null,"work_id":"9452900c-31fc-4b0b-b1bd-05bd00a0a7dd","year":2008},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.470940Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:ad10ac055c9d56921acd8f7136ce40fe385e91b736f1e769a8c3a1a7d44b70fe","observation_id":"9e9fa287-7dc5-4cd6-b86c-2a696f43bb1a","resolution":{"observed_at":"2026-08-08T10:20:16.561277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.542855Z","title":"Attention is all you need","venue":null,"work_id":"e95b729d-078f-43ac-a781-6331079ab074","year":2017},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.474807Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:9dbb1c8cbae54b546a5d73b8b8725d11ddd521f44ac1e5da4b82e7bf0460cf94","observation_id":"2e924e16-6bb3-4c3c-a7bc-bcd284838de3","resolution":{"observed_at":"2026-08-08T10:20:16.548319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.529620Z","title":"Modeling the trade-off of privacy preservation and activity recognition on low-resolution images","venue":null,"work_id":"7edb7641-44ed-4b06-a6fe-8a18c210249f","year":2023},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.478766Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:08586b42abe7ca8a174fc16ce7f2a3a97266e59b9d5e6f68950ea8454219d9cd","observation_id":"37241137-7460-4e08-b6a9-8b3f2ed0352a","resolution":{"observed_at":"2026-08-08T10:20:16.534204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.16305","last_updated":"2023-10-25T02:26:04Z","snapshot_observed_at":"2026-08-16T14:49:07.684207Z","submitted_at":"2023-10-25T02:26:04Z","title":"Dolfin: Diffusion Layout Transformers without Autoencoder","version":1},"cited_work":{"arxiv_id":"2310.16305","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.16305","snapshot_observed_at":"2026-08-08T10:20:15.560948Z","title":"Dolfin: Diffusion Layout Transformers without Autoencoder","venue":"cs.CV","work_id":"5eb84d32-3555-4eb2-a0e1-30964a954a68","year":2023},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.482609Z"},"links":{"cited_paper":"/paper/2310.16305","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:2055a0c3155020fe2613a60b09e1b74566cadc02929c66295377ffdfb9c5a2db","observation_id":"00723785-2991-4007-9275-8843d1c19b9d","resolution":{"observed_at":"2026-08-08T10:20:15.568119Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.514657Z","title":"Omnicontrolnet: Dual-stage integration for conditional image generation","venue":null,"work_id":"eb8afedc-e023-4f33-8da4-8c91cb490546","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.486831Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:85f5b22ac516d63a368e13b825f244008a5bc6559f3a835c545016e6d659e904","observation_id":"039cb978-9632-415d-be9e-86bde0b73c6e","resolution":{"observed_at":"2026-08-08T10:20:16.520497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.499548Z","title":"Bayesian diffusion models for 3d shape reconstruction","venue":null,"work_id":"0fab618d-e149-496d-84d7-a711e9a147e4","year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.490675Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:8242b26ff7d2caa9a50fd57a0d64544661db4cfa31eb7bf640bbb715e12c4893","observation_id":"7ac55bb1-9854-422f-b717-c7724e86cf64","resolution":{"observed_at":"2026-08-08T10:20:16.504861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07510","last_updated":"2024-09-02T06:27:05Z","snapshot_observed_at":"2026-08-16T13:53:17.594054Z","submitted_at":"2024-05-13T07:10:53Z","title":"PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07510","snapshot_observed_at":"2026-08-08T10:20:15.494670Z","title":"Perflow: Piecewise rectified flow as universal plug-and-play accelerator","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.494670Z"},"links":{"cited_paper":"/paper/2405.07510","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:2d6e9a5ebe2acb4c3804b9c2b0733d3059882f439e8af2f1d11b92fe865926a2","observation_id":"1a134a4f-2b35-4678-bf8c-d6da55fc52d9","resolution":{"observed_at":"2026-08-08T10:20:15.494670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.482831Z","title":"Uni-3d: A universal model for panoptic 3d scene reconstruction","venue":null,"work_id":"f1558bce-9d82-42e2-b1e2-c831e3cba642","year":2023},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.498782Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:634c1dda02515b6b785e98a91c12c7abb2b0fb74e5a39ad2d95a0ed882e40d6f","observation_id":"5813a63b-13cd-4c8e-858a-340080a11949","resolution":{"observed_at":"2026-08-08T10:20:16.489652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T10:20:16.467578Z","title":"Improved techniques for maximum likelihood estimation for diffusion odes","venue":null,"work_id":"39622818-781d-470e-a23d-a95fc765f6db","year":2023},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.502479Z"},"links":{"citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:5dcaf3bce7c2cc6de002810e5112ea5a30b1a9a615859ff8682b22710ac2c401","observation_id":"22d9cf54-bcfa-499c-bcf4-ba6f9c7266fb","resolution":{"observed_at":"2026-08-08T10:20:16.473079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16948","last_updated":"2023-12-05T08:01:39Z","snapshot_observed_at":"2026-08-16T23:35:08.886564Z","submitted_at":"2023-09-29T03:24:24Z","title":"Denoising Diffusion Bridge Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16948","snapshot_observed_at":"2026-08-08T10:20:15.506161Z","title":"Denoising diffusion bridge models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-08T10:20:15.506161Z"},"links":{"cited_paper":"/paper/2309.16948","citing_paper":"/paper/2502.08150"},"observation_digest":"sha256:c2749277db44b8ef659687fdb1618a1c28a71752eee3c620f55ef0b137409207","observation_id":"d4373439-8682-40ad-bae8-44a42e5af121","resolution":{"observed_at":"2026-08-08T10:20:15.506161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.08150","last_updated":"2025-02-12T06:30:01Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T12:10:24.570010Z","submitted_at":"2025-02-12T06:30:01Z","title":"Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":5,"verified_fuzzy":28},"total_outbound_references":61},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2502.08150."}