{"as_of":"2026-08-08T01:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fb7613d0f92951d28a1a97a8d685e12b2e22691dd07e37a9da1e73db3f8e51d1","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:16:51.250524Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":241,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2310.06114","last_updated":"2024-09-26T17:14:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-09T19:42:22Z","title":"Learning Interactive Real-World Simulators","version":3},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-05-16T02:15:18.265190Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2310.06114"},"observation_digest":"sha256:ba5b04b30eef5c2250e6b27d3bf5f7208e2a1fc368b54b4c279e33dd6a125c24","observation_id":"c54cd24a-3cf4-4ffd-a979-585b4d458d9b","resolution":{"observed_at":"2026-05-16T02:15:18.414596Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-07T11:16:51.250524Z","title":"Denois- ing diffusion restoration models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02981","last_updated":"2025-06-03T15:18:48Z","snapshot_observed_at":"2026-08-07T11:09:09.781520Z","submitted_at":"2025-06-03T15:18:48Z","title":"Astrophotography turbulence mitigation via generative models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:51.250524Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2506.02981"},"observation_digest":"sha256:5595d5e5f51a70c89a76f18332922dfa405a509523bd701dd78cc34f3d76d7d5","observation_id":"ac464701-7bfe-448a-a236-ac09a1d51509","resolution":{"observed_at":"2026-08-07T11:16:51.250524Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-07T05:11:23.650688Z","title":"Denoising diffusion restoration models.arXiv preprint arXiv:2201.11793, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08796","last_updated":"2025-06-10T13:44:49Z","snapshot_observed_at":"2026-08-07T04:59:24.319378Z","submitted_at":"2025-06-10T13:44:49Z","title":"Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:11:23.650688Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2506.08796"},"observation_digest":"sha256:a0b49388eb23e69b60008f3b2d8cd7a4b318324b87b52db8db81978af180d571","observation_id":"7c1fc18e-f2be-4cbd-b1c8-2aeab8879c87","resolution":{"observed_at":"2026-08-07T05:11:23.650688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2506.22397","last_updated":"2026-04-07T11:40:35Z","snapshot_observed_at":"2026-08-03T00:21:12.253491Z","submitted_at":"2025-06-27T17:10:43Z","title":"HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching","version":6},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T07:45:11.980547Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2506.22397"},"observation_digest":"sha256:af41f0a36be0600f38d4b97d106b7181628ada0469371039e546c3e3aaa18120","observation_id":"59eaffd4-1ac4-430b-a136-b62a81e6114c","resolution":{"observed_at":"2026-05-19T07:47:09.340543Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2510.07533","last_updated":"2026-05-13T15:59:12Z","snapshot_observed_at":"2026-07-06T22:32:07.945004Z","submitted_at":"2025-10-08T20:50:19Z","title":"EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channel","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-18T08:45:45.188143Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2510.07533"},"observation_digest":"sha256:07e319a5300ba06069d2bba0ed99592b8268ac8f7ef897c39f1161aee54be7ba","observation_id":"48c5144b-2c1a-46dc-9bee-fba4fbbecec9","resolution":{"observed_at":"2026-05-18T08:46:07.819389Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-03T11:08:06.647738Z","title":"2022, arXiv e-prints, arXiv:2201.11793","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.07485","last_updated":"2026-05-24T11:35:00Z","snapshot_observed_at":"2026-08-03T11:08:04.110441Z","submitted_at":"2026-01-12T12:40:10Z","title":"A Guided Unconditional Diffusion Model to Synthesize and Inpaint Radio Galaxies from FIRST, MGCLS and Radio Zoo","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T11:08:06.647738Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2601.07485"},"observation_digest":"sha256:d2fe99a737cdcb4a53a9a868ff869990a89e8fe5b6518f54e5ec2776726a0bdb","observation_id":"3a0adc41-780f-4c69-b7a2-1a8eaf970bba","resolution":{"observed_at":"2026-08-03T11:08:06.647738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2604.26244","last_updated":"2026-04-29T02:58:04Z","snapshot_observed_at":"2026-07-06T23:11:57.238808Z","submitted_at":"2026-04-29T02:58:04Z","title":"MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-07T13:47:16.607775Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2604.26244"},"observation_digest":"sha256:ea8332485f4e16a9279ac464449bb6816a6a92e695bab14ef06834b822dc6cd0","observation_id":"7fdf36e8-4adc-4c22-8b66-64bebfa3343d","resolution":{"observed_at":"2026-05-12T08:46:26.644413Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2605.15558","last_updated":"2026-05-15T02:54:43Z","snapshot_observed_at":"2026-07-06T23:26:51.110846Z","submitted_at":"2026-05-15T02:54:43Z","title":"Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-19T19:59:48.949689Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2605.15558"},"observation_digest":"sha256:1766ecec9ccec88758cd5f265409d5595643e549e6279b3880f2a157031497bc","observation_id":"e60b835b-2aee-4ebd-8103-649c35f39ee1","resolution":{"observed_at":"2026-05-19T20:02:44.853959Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2605.20780","last_updated":"2026-05-20T06:22:44Z","snapshot_observed_at":"2026-07-06T23:31:18.520630Z","submitted_at":"2026-05-20T06:22:44Z","title":"Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-21T06:24:04.891249Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2605.20780"},"observation_digest":"sha256:6bd95381036d612f3a758ba5a1baa8a602f191549ae09c2a3aaf7456ae35de8b","observation_id":"adc758df-8458-4b44-a773-ee0fadfad59a","resolution":{"observed_at":"2026-05-21T06:24:41.400231Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2605.22338","last_updated":"2026-05-21T11:24:48Z","snapshot_observed_at":"2026-08-06T08:55:16.227907Z","submitted_at":"2026-05-21T11:24:48Z","title":"Physics-Informed Generative Solver: Bridging Data-Driven Priors and Conservation Laws for Stable Spatiotemporal Field Reconstruction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-22T07:18:38.258250Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2605.22338"},"observation_digest":"sha256:4414d4cc31fa4ad91bc9af9ec517a331b683435bd6d4497e58ecdfa297b5ce60","observation_id":"0e0f525b-79ab-498d-ac0b-84176a602eb8","resolution":{"observed_at":"2026-05-22T07:21:12.953482Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2606.00219","last_updated":"2026-05-29T18:00:05Z","snapshot_observed_at":"2026-07-06T23:40:56.510371Z","submitted_at":"2026-05-29T18:00:05Z","title":"21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables","version":1},"reference_index":239,"source":"arxiv_source","source_observed_at":"2026-06-28T20:53:04.280649Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2606.00219"},"observation_digest":"sha256:cddfc8723dbdce3357e0051707a05ac2566e942ba41c0b61ba8be6c718e6af2e","observation_id":"eee20e7d-abf5-4d9f-9df6-eced6ffa44a5","resolution":{"observed_at":"2026-06-28T21:02:37.786600Z","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":"2201.11793","last_updated":"2022-10-12T18:56:53Z","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models","version":3},"cited_work":{"arxiv_id":"2201.11793","doi":"10.48550/arxiv.2201.11793","metadata_source":"arxiv_reference","pith_arxiv_id":"2201.11793","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Song, J","venue":"arXiv (Cornell University)","work_id":"216beedd-013e-4987-9da3-1ef78c9dc64d","year":2022},"citing_paper":{"arxiv_id":"2606.13366","last_updated":"2026-06-11T13:53:02Z","snapshot_observed_at":"2026-08-07T03:31:05.026636Z","submitted_at":"2026-06-11T13:53:02Z","title":"Dual-Constrained Diffusion Image Compression for Operational Rate-Distortion-Perception Optimization","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-27T07:24:03.497997Z"},"links":{"cited_paper":"/paper/2201.11793","citing_paper":"/paper/2606.13366"},"observation_digest":"sha256:0d7dd5c772e16457f13942059d61898ae816b9f413a4dceb6b2ec22e84b11a94","observation_id":"1e796011-60e1-4a99-9707-7b9d2e58b94f","resolution":{"observed_at":"2026-07-03T13:58:21.679366Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2201.11793/citation-record","integrity":"/paper/2201.11793/integrity","json":"/paper/2201.11793/citation-record.json","paper":"/paper/2201.11793"},"outbound":[],"paper":{"arxiv_id":"2201.11793","last_updated":"2022-10-12T18:56:53Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T12:32:03.397176Z","submitted_at":"2022-01-27T20:19:07Z","title":"Denoising Diffusion Restoration Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2201.11793."}