{"as_of":"2026-08-11T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8f0b2bea0c8f917e7429dbd6ffc03832d04d02a8e15d5d29593b7317cd353210","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:43:05.213616Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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":"2026-07-01T06:52:34.592172Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T06:55:29.048814Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"cited_work":{"arxiv_id":"2501.00865","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.00865","snapshot_observed_at":"2026-07-01T06:55:29.048814Z","title":"Magal, M","venue":null,"work_id":"c5ce497d-4b96-450f-ac83-dbe5f6c8fcb4","year":2025},"citing_paper":{"arxiv_id":"2606.31135","last_updated":"2026-06-30T05:06:02Z","snapshot_observed_at":"2026-08-06T04:29:36.647863Z","submitted_at":"2026-06-30T05:06:02Z","title":"MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T06:52:34.592172Z"},"links":{"cited_paper":"/paper/2501.00865","citing_paper":"/paper/2606.31135"},"observation_digest":"sha256:90b90704a249da53a4ae2d7a93a1cb765bba24988c9a2ee5005be358e4c6736b","observation_id":"b3163f08-5a88-464c-a9d8-25752707dcfe","resolution":{"observed_at":"2026-07-01T06:55:29.051106Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.00865/citation-record","integrity":"/paper/2501.00865/integrity","json":"/paper/2501.00865/citation-record.json","paper":"/paper/2501.00865"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2005.13616","last_updated":"2020-05-27T19:55:33Z","snapshot_observed_at":"2026-08-07T06:45:37.408822Z","submitted_at":"2020-05-27T19:55:33Z","title":"Modality Dropout for Improved Performance-driven Talking Faces","version":1},"cited_work":{"arxiv_id":"2005.13616","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.13616","snapshot_observed_at":"2026-08-10T22:43:05.438266Z","title":"Modality Dropout for Improved Performance-driven Talking Faces","venue":"eess.AS","work_id":"f98871a4-04ad-425e-8f9e-6d217c249485","year":2020},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.157330Z"},"links":{"cited_paper":"/paper/2005.13616","citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:4c9afb5a67e3784a5fb5f4532863c0335cc847cb60e98a3be4323d3d9d681840","observation_id":"62ae167d-8e22-47fa-b5f4-0236cb5dc89b","resolution":{"observed_at":"2026-08-10T22:43:05.442515Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T22:43:05.162753Z","title":"N., Lee, S., and Narayanan, S","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.162753Z"},"links":{"citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:f96e330249d0b731d3aaf1f49ab1da2015303b4838a25798bebc9aa6051d2add","observation_id":"728b6ee2-164f-487e-a1ea-d067b8394707","resolution":{"observed_at":"2026-08-10T22:43:05.162753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.06183","last_updated":"2021-02-11T18:50:16Z","snapshot_observed_at":"2026-07-06T10:40:37.508112Z","submitted_at":"2021-02-11T18:50:16Z","title":"Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.06183","snapshot_observed_at":"2026-08-10T22:43:05.167338Z","title":"L., Bansal, M., and Liu, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.167338Z"},"links":{"cited_paper":"/paper/2102.06183","citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:dc82a832d5ee73fda7ce6adf4695d204986c77f24565cf75a30b05abca9a2c88","observation_id":"c951428d-70e7-40fb-8050-6997b71c7c77","resolution":{"observed_at":"2026-08-10T22:43:05.167338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03430","last_updated":"2023-02-20T09:19:30Z","snapshot_observed_at":"2026-08-09T08:26:35.480401Z","submitted_at":"2022-09-07T19:21:19Z","title":"Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03430","snapshot_observed_at":"2026-08-10T22:43:05.172300Z","title":"P., Zadeh, A., and Morency, L.-P","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.172300Z"},"links":{"cited_paper":"/paper/2209.03430","citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:c405cdc82c2b215e0c794f6a7c5efd4793ed42b037112e07bc47dd085406d9ee","observation_id":"d3a4e094-9301-4e2d-89dd-6bb2ce9264b9","resolution":{"observed_at":"2026-08-10T22:43:05.172300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04890","last_updated":"2019-11-08T22:01:42Z","snapshot_observed_at":"2026-08-11T09:47:45.022008Z","submitted_at":"2019-11-08T22:01:42Z","title":"Recurrent Neural Network Transducer for Audio-Visual Speech Recognition","version":1},"cited_work":{"arxiv_id":"1911.04890","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.04890","snapshot_observed_at":"2026-08-10T22:43:05.395855Z","title":"Recurrent Neural Network Transducer for Audio-Visual Speech Recognition","venue":"eess.AS","work_id":"0793e2c3-cd9f-4f67-9ee1-3e3bd7adf509","year":2019},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.177337Z"},"links":{"cited_paper":"/paper/1911.04890","citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:edd8105d7c8972d2f3891e08914cdc109da0da5dc5f8b9d1e8dfecb652030b67","observation_id":"9a80813d-e1c8-4757-8002-6714229e9e50","resolution":{"observed_at":"2026-08-10T22:43:05.401565Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1501.00102","last_updated":"2015-06-06T14:46:33Z","snapshot_observed_at":"2026-07-06T04:05:04.005841Z","submitted_at":"2014-12-31T09:55:43Z","title":"ModDrop: adaptive multi-modal gesture recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1501.00102","snapshot_observed_at":"2026-08-10T22:43:05.182381Z","title":"W., and Nebout, F","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.182381Z"},"links":{"cited_paper":"/paper/1501.00102","citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:6d1ef5e48ea611ef041b3e45df8c05070f1ed2ea6c73a4089edf23e7a0fb1110","observation_id":"b693a6e6-2922-4f92-a0ef-1039a6e63de3","resolution":{"observed_at":"2026-08-10T22:43:05.182381Z","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":"2026-08-10T22:43:05.483197Z","title":null,"venue":null,"work_id":"e08005e7-a092-4de6-acb2-61b6a77afd4e","year":2014},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.187319Z"},"links":{"citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:0bed27df946d841ae13eec393988ed3df2d0b86dd6fa0a62fb93ef36f867b6a5","observation_id":"5e20eb33-7514-4512-b215-7b8cffa1f1cd","resolution":{"observed_at":"2026-08-10T22:43:05.487414Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T22:43:05.470210Z","title":"Multimodal co-learning: challenges, applications with datasets, recent advances and future directions","venue":null,"work_id":"7a481d89-5936-47b2-abd6-0f6f7de76006","year":2022},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.191391Z"},"links":{"citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:00744d5b3b1f6343b15c6b102bd93489b0adb440630c596c450a0e55fb1633eb","observation_id":"832d286f-5844-4fc5-aba4-3e44c4b30af5","resolution":{"observed_at":"2026-08-10T22:43:05.474572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.02184","last_updated":"2022-03-13T01:52:28Z","snapshot_observed_at":"2026-08-11T09:07:04.259568Z","submitted_at":"2022-01-05T17:40:45Z","title":"Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.02184","snapshot_observed_at":"2026-08-10T22:43:05.194883Z","title":"Learning audio-visual speech representation by masked multimodal cluster prediction, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.194883Z"},"links":{"cited_paper":"/paper/2201.02184","citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:0c35d52d090248701ce48a281d8dd41fee64bf056b60cbee580712ab0a7386ea","observation_id":"66b601f3-6a97-4dd3-8729-ffc4361e204d","resolution":{"observed_at":"2026-08-10T22:43:05.194883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.00927","last_updated":"2018-02-03T06:37:46Z","snapshot_observed_at":"2026-08-03T16:42:38.416496Z","submitted_at":"2018-02-03T06:37:46Z","title":"Memory Fusion Network for Multi-view Sequential Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.00927","snapshot_observed_at":"2026-08-10T22:43:05.202564Z","title":"P., Mazumder, N., Poria, S., Cambria, E., and Morency, L.-P","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.202564Z"},"links":{"cited_paper":"/paper/1802.00927","citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:5932b107fc27f70efc258bc4739a6b7d79753f2a3e7a1ee0fa65067df2b2b3aa","observation_id":"c1db6df5-c614-4ac2-9b1d-ef724d619b87","resolution":{"observed_at":"2026-08-10T22:43:05.202564Z","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":"2026-08-10T22:43:05.457258Z","title":"P., and Morency, L.-P","venue":null,"work_id":"082a4db1-34e0-4558-ae82-40eb3c8f654d","year":2020},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.206114Z"},"links":{"citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:79170dab80d7889d6bd2d55c4a9c022c91e638053b0cbec9c445e3b8ce19c310","observation_id":"475d99fa-b236-4e56-a8e7-257b307c22df","resolution":{"observed_at":"2026-08-10T22:43:05.462136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.86825","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:43:05.335472Z","title":"Robust audio-visual speech recognition using bimodal dfsmn with multi-condition training and dropout regularization","venue":null,"work_id":"a1816afe-0de9-444c-a109-ee5f9745505a","year":2019},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.209902Z"},"links":{"citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:9c45e30af1452806236b0ab5a97b2d16fc24f53305d22e816b895bdf5714870e","observation_id":"7b571fab-3545-4f1f-9332-37168565e32c","resolution":{"observed_at":"2026-08-10T22:43:05.344625Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T22:43:05.213616Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T22:43:05.213616Z"},"links":{"citing_paper":"/paper/2501.00865"},"observation_digest":"sha256:0a70f8679556d1f6f989c7791570e46211853631f886c0bb860cd1c3a4d59b31","observation_id":"caf6e5b3-5307-45a6-b13e-1ad25e3c6c5b","resolution":{"observed_at":"2026-08-10T22:43:05.213616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.00865","last_updated":"2025-01-01T15:18:23Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-11T06:24:34.988983Z","submitted_at":"2025-01-01T15:18:23Z","title":"Negative to Positive Co-learning with Aggressive Modality Dropout"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":8,"verified_exact":1,"verified_fuzzy":2},"total_outbound_references":13},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2501.00865."}