{"as_of":"2026-08-12T15:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:171af90e16f05065fa772345a21a1419d67bdd3d2bf31cfa96d69c372f65891a","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T13:20:29.417440Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.02118/citation-record","integrity":"/paper/2502.02118/integrity","json":"/paper/2502.02118/citation-record.json","paper":"/paper/2502.02118"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T13:20:30.083641Z","title":"K- SVD : An algorithm for designing overcomplete dictionaries for sparse representation","venue":null,"work_id":"86b07a69-aee9-45c5-9dea-c20ef05e9059","year":2006},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.218412Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:10dbf5623f10705d58ac64e12ed06857c7d2c8a3138148c29c0ada19946241e4","observation_id":"b9ce01da-8546-4f77-b869-8444d8f10255","resolution":{"observed_at":"2026-08-09T13:20:30.088056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:30.069400Z","title":"B E i T : BERT pre-training of image transformers","venue":null,"work_id":"83189262-287f-46e5-b6a3-dbc260b5fac6","year":2022},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.223389Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:d6f550f2a7eef5f6ecfbf0451093ea63f81b1654b5344671b7cf9830142cb0e5","observation_id":"06bce920-09b4-4fd4-9a4a-e32a09e70631","resolution":{"observed_at":"2026-08-09T13:20:30.073871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:30.056152Z","title":"Audio LM : a language modeling approach to audio generation","venue":null,"work_id":"08e6d20e-9cf8-4f6f-bf39-90f964800084","year":2023},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.227935Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:eebc9d9341ae8d34380cdd4b1cbfeb3379d9cfb3ea87bcab3766bd4d1c88143f","observation_id":"96b7a2ac-8a86-4b57-83cc-426d335a4cfa","resolution":{"observed_at":"2026-08-09T13:20:30.060501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:30.041686Z","title":"vq-wav2vec: Self-supervised learning of discrete speech representations","venue":null,"work_id":"ed07c8f5-4417-45b1-9a41-b8dc231576fd","year":2020},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.232707Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:7dca7006147dbc0dbab8c29668e7f5c1d8789ca73dd94960ed7cd5be7e83ff04","observation_id":"baae7d14-79ca-4a08-a853-56522e028999","resolution":{"observed_at":"2026-08-09T13:20:30.046654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:30.026339Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations","venue":null,"work_id":"3d7eaffd-f431-4dbc-b806-3545e8a15cf6","year":2020},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.237136Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:d8a3a115102767182453e4e449b6db9610d2576e37ab2b47dae0ee00859d8e2a","observation_id":"182a92be-6823-4e92-8997-f472e1817238","resolution":{"observed_at":"2026-08-09T13:20:30.031000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:30.012604Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"952e570e-d825-494e-bba6-877367a7d5f5","year":2020},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.241565Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:bb4a96544730f8e37555332ec92fe3985788610b6218cf5dda82f71b503e8e93","observation_id":"ca545c0f-683e-44a5-b521-769f73a2624d","resolution":{"observed_at":"2026-08-09T13:20:30.017028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.998488Z","title":"Self-supervised learning with random-projection quantizer for speech recognition","venue":null,"work_id":"51bd923b-fd55-4636-82a8-80766a941975","year":2022},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.246278Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:955f886a45b6c2ff4f2a0eb4ea95542f05b0f183a711bda5f383de173a911677","observation_id":"20d41891-2e2f-4ead-b5df-be88caa4efc1","resolution":{"observed_at":"2026-08-09T13:20:30.003230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.985107Z","title":"BEATs : audio pre-training with acoustic tokenizers","venue":null,"work_id":"1c66a0d7-96c4-4abc-b8e8-e08da262eb16","year":2023},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.250601Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:5aa6727e303047325c21cf32ee4121eeb9d9b7292b92ceb1c8977ccdbe5df947","observation_id":"64715bbd-edff-4f1b-99f6-1f02549dc7d3","resolution":{"observed_at":"2026-08-09T13:20:29.989485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.971779Z","title":"Quo vadis, action recognition? a new model and the kinetics dataset","venue":null,"work_id":"982cddd3-7056-46a9-8187-bbfa9c3a59b7","year":2017},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.254818Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:e2b75b1beaaa4a6565e558f842c0d0e2dd69661733914c5d1dd45f6ab5319631","observation_id":"9cd337bd-e47b-4a2b-a12a-4428e56329d2","resolution":{"observed_at":"2026-08-09T13:20:29.976130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.258934Z","title":"BERT : Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.258934Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:7d18369db08241c954864051fa28acb149964ed69e4aea101fcbd9a68fa36736","observation_id":"10b8395c-5a38-4823-acb9-1055f814229d","resolution":{"observed_at":"2026-08-09T13:20:29.258934Z","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":"2026-08-09T13:20:29.949308Z","title":"Image N et: A large-scale hierarchical image database","venue":null,"work_id":"bf3f0f85-ac2c-433a-aed1-245fa03e3ba5","year":2009},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.263037Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:d36a0195f3de37c7eeffecbbee58bcab64438c8730333df97d8075128a75a370","observation_id":"9aaa9cb8-c9ed-40d3-81fa-e3840d8895c7","resolution":{"observed_at":"2026-08-09T13:20:29.953619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00341","last_updated":"2020-04-30T09:02:45Z","snapshot_observed_at":"2026-08-06T03:57:57.420510Z","submitted_at":"2020-04-30T09:02:45Z","title":"Jukebox: A Generative Model for Music","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00341","snapshot_observed_at":"2026-08-09T13:20:29.267221Z","title":"Jukebox: A generative model for music","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.267221Z"},"links":{"cited_paper":"/paper/2005.00341","citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:85183a7576e8ae9a6942e7276ca5a74c84998e615cf9ee9671d5b05d09b0b86a","observation_id":"dfe3ce10-7274-4d95-9956-81937bafdadc","resolution":{"observed_at":"2026-08-09T13:20:29.267221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-09T13:20:29.271599Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.271599Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:af4446d4edca821b373dfd306a80b4f64456c63dfa864bdc689618010d4aff6d","observation_id":"70ac0458-f00f-4ef6-91f8-1834f6b45ff8","resolution":{"observed_at":"2026-08-09T13:20:29.271599Z","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":"2026-08-09T13:20:29.935984Z","title":"Audio set: An ontology and human-labeled dataset for audio events","venue":null,"work_id":"fbb1d4c1-e0d7-4614-8925-359d7adadab8","year":2017},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.276116Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:b0d814295ffd7d494422e1e8eba9300bfe0bb70b185e2a413a158b2ef5bebb08","observation_id":"fce6cc01-c818-4c23-93b0-e19a912ff475","resolution":{"observed_at":"2026-08-09T13:20:29.940423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.922399Z","title":"Vector Quantization and Signal Compression , volume 159","venue":null,"work_id":"d0d1412b-0e23-4f8f-a84b-5a4066437d6b","year":2012},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.280122Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:243ce375838067f6267c53df4dc58350e66a2b65a3ed272c928072f471719b1a","observation_id":"d666e132-9ad9-4dfe-9bac-316fd998bdd2","resolution":{"observed_at":"2026-08-09T13:20:29.926778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.909033Z","title":"Optimized product quantization for approximate nearest neighbor search","venue":null,"work_id":"a0990603-1806-48a3-9d76-b6065ac9a585","year":2013},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.284338Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:cedb7178937e0951b323989330af33bbc3c22e8cebf0d64ce1c8f317d55fa278","observation_id":"0d44e894-8bc2-441c-9be3-fa25633d38c8","resolution":{"observed_at":"2026-08-09T13:20:29.913416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.894600Z","title":"Gray and David L","venue":null,"work_id":"da8a4124-5ba9-4bfd-9784-2fe8db8c60b8","year":1998},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.288426Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:dbbdc6b93d73f5f7a67551f32185f20cedb98f29a8c7274a9bb076643bd104c6","observation_id":"53da314e-93e3-47b0-bff4-872e81437e68","resolution":{"observed_at":"2026-08-09T13:20:29.899594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.880478Z","title":"Bootstrap your own latent-a new approach to self-supervised learning","venue":null,"work_id":"7f34d4a4-1237-44ec-914c-15c7e243838d","year":2020},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.292564Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:6639523e2bf5e556bcca792fa86afa2c17afaea313cc14f5ddd9d2ba0409a103","observation_id":"2b75d15a-f748-416a-81df-45132f55084f","resolution":{"observed_at":"2026-08-09T13:20:29.884899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.866695Z","title":"Hu BERT : Self-supervised speech representation learning by masked prediction of hidden units","venue":null,"work_id":"eb245579-8101-44a0-9f19-4a586904c38d","year":2021},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.296835Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:22e161831387b225d2e67451a5d7833cade55c39228185766c866a69a336a596","observation_id":"9954e184-6321-4359-9518-cc297fcd8b98","resolution":{"observed_at":"2026-08-09T13:20:29.871075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.853212Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":"3daa7c5d-f49a-4699-a1c3-19251a101829","year":2022},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.301419Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:b02f6ef5db5ce52b12d63e942b3c154e145a1521400c70033db5fded590e4b97","observation_id":"3f1136ba-60f6-48f1-9cb4-13279ee0448a","resolution":{"observed_at":"2026-08-09T13:20:29.857537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.839539Z","title":"Momentum contrast for unsupervised visual representation learning","venue":null,"work_id":"a445e67c-9754-4e6a-9160-457887594515","year":2020},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.305480Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:2a2de9432e143cf48c77a7351bd688800693639858e2c9c336577eaa7e37432a","observation_id":"f1c2c05b-ca71-4af0-8525-200515ca18ea","resolution":{"observed_at":"2026-08-09T13:20:29.844010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.825598Z","title":"Masked autoencoders that listen","venue":null,"work_id":"9681deac-3cff-4aec-8dfd-761d39cf36f7","year":2022},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.309614Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:5058135ee98169ba3261a2874100f202ee08bd9beabe183b1076dab802b40c3d","observation_id":"0c84c768-1d2e-411c-989b-80e3b8f1e0b3","resolution":{"observed_at":"2026-08-09T13:20:29.829954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.313623Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.313623Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:e9a49f613e09d90d4a9907c34c673bce865f87a9ed902917ff2a3507ae45b88d","observation_id":"eda7029d-3de7-47c5-b319-a45fb8c1deda","resolution":{"observed_at":"2026-08-09T13:20:29.313623Z","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":"2026-08-09T13:20:29.802701Z","title":"Product quantization for nearest neighbor search","venue":null,"work_id":"b8b50853-43e9-451d-af56-7861f4944780","year":2010},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.317683Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:56ad3dbde2c3fe4f69ee875af408cbb8682bab58b896752577ac7f3d66ad663c","observation_id":"a67e8c5d-11c5-45a2-859f-c935fc6bef37","resolution":{"observed_at":"2026-08-09T13:20:29.806895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.06950","last_updated":"2017-05-19T12:07:01Z","snapshot_observed_at":"2026-08-08T17:46:50.107463Z","submitted_at":"2017-05-19T12:07:01Z","title":"The Kinetics Human Action Video Dataset","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.06950","snapshot_observed_at":"2026-08-09T13:20:29.321787Z","title":"The kinetics human action video dataset","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.321787Z"},"links":{"cited_paper":"/paper/1705.06950","citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:1a2d0ee1902742dececba9785792fe4e5199a8d34faa58f0203d6bef3cea75a2","observation_id":"44aba60f-d01b-433b-9c5e-3580d0612c1d","resolution":{"observed_at":"2026-08-09T13:20:29.321787Z","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":"2026-08-09T13:20:29.789491Z","title":"Image N et classification with deep convolutional neural networks","venue":null,"work_id":"6a5d1cfe-e1a1-4c49-8c14-ad59b83b02d0","year":2012},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.326355Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:ef7aaf86ac17a6cd01af03d0b0515cf5375f01899f43b643c36d020a398048d6","observation_id":"4b3a53f6-78de-4fe7-8b2b-8455b29b2131","resolution":{"observed_at":"2026-08-09T13:20:29.794023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.776310Z","title":"High-fidelity audio compression with improved RVQGAN","venue":null,"work_id":"5e868219-fabb-484b-ba39-b9de021d42ce","year":2024},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.330575Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:600579b64c0403bd62f75763cba01f21d78c8dd58bae999a01aee76af79c4abf","observation_id":"9bac28a4-65f1-4509-a8e9-c921f5e91a1d","resolution":{"observed_at":"2026-08-09T13:20:29.780726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.763069Z","title":"Audio G en: Textually guided audio generation","venue":null,"work_id":"66c61de4-b58a-4b31-9772-32a05d8b1f0f","year":2023},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.335643Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:e7dc547c7206aa0317e89a7fcd547d573d2e6915ff0af42d05fc316a7cadac20","observation_id":"10656408-862d-4766-8ccf-1ad27c5e582a","resolution":{"observed_at":"2026-08-09T13:20:29.767486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.749262Z","title":"Robust training of vector quantized bottleneck models","venue":null,"work_id":"fcd29555-ad68-4666-aa95-0c2c03f52c6f","year":2020},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.339764Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:272395c6dd6febf2daa57b1fd2e6a078bcc3370c1a0b604d41126e29fd7209a0","observation_id":"88995d42-704e-44d8-9fd3-6be4be845cb4","resolution":{"observed_at":"2026-08-09T13:20:29.753944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.735936Z","title":"Unsupervised representation learning by sorting sequences","venue":null,"work_id":"a8ce2e0b-6858-414c-855b-c4a45982fb44","year":2017},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.343723Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:83e7429df577d8d24bee193686d887f82bb67dfed99d25fdd3cb49285d3f4913","observation_id":"97f3d14f-2028-4bf8-b0a9-db3f3bc92cf8","resolution":{"observed_at":"2026-08-09T13:20:29.740381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.722070Z","title":"Autoregressive image generation using residual quantization","venue":null,"work_id":"3200f3e3-a064-45a7-811d-258d148b7fed","year":2022},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.347897Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:1a48a1228f04587d0228068bf7368e6740d039f3643188a6aa42d9be74066c0c","observation_id":"185b8335-ae2b-4dcf-baea-7d1f665020bb","resolution":{"observed_at":"2026-08-09T13:20:29.726620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.707829Z","title":"Shuffle and learn: unsupervised learning using temporal order verification","venue":null,"work_id":"b2c3fb9d-1138-4e3e-a1ef-a7dce6fdf943","year":2016},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.351969Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:6d00b9cd79ef8e33561cda3e3b3d3a0130167b4884d12395313843399984daaa","observation_id":"1119cfce-2554-4297-ba22-0cf88a17ed81","resolution":{"observed_at":"2026-08-09T13:20:29.712216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.06366","last_updated":"2022-10-03T11:47:10Z","snapshot_observed_at":"2026-08-04T18:14:09.239336Z","submitted_at":"2022-08-12T16:48:10Z","title":"BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.06366","snapshot_observed_at":"2026-08-09T13:20:29.355976Z","title":"BEiT v2: Masked image modeling with vector-quantized visual tokenizers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.355976Z"},"links":{"cited_paper":"/paper/2208.06366","citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:cd336197c61f0aa0e837e21b247545b70ff716657a7aa25185c264d4ed7d2f21","observation_id":"e9ea8759-c070-40b5-9f0c-a57991b12dbc","resolution":{"observed_at":"2026-08-09T13:20:29.355976Z","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":"2026-08-09T13:20:29.694159Z","title":"ESC : Dataset for environmental sound classification","venue":null,"work_id":"be758774-1ad3-475e-b923-cc5ca979aa1f","year":2015},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.360444Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:3682c954f65158386b7c923d2c1dd4c74801292b6b5e9a54d2d23e859598b7b4","observation_id":"cdaa8887-7c0c-4f92-bfac-e5c543092c01","resolution":{"observed_at":"2026-08-09T13:20:29.698628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.680632Z","title":"Spatiotemporal contrastive video representation learning","venue":null,"work_id":"75c4db34-38fb-49b3-a384-170ad46a9542","year":2021},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.364569Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:73248f52d5103d6c7b7ec33557515611844477300f54e717adda36e839788a6a","observation_id":"3a60a36e-cbb9-4188-81f6-c54e8da4b33a","resolution":{"observed_at":"2026-08-09T13:20:29.685233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.666338Z","title":"Berg, and Li Fei-Fei","venue":null,"work_id":"eb70e9e3-f8c4-4165-8bc3-0a1599410ca5","year":2015},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.368813Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:3bcee08fdff394fc66cc7941dfbdaf772d096f44a72512922955b3d72a8556f1","observation_id":"f47e8e44-71aa-44d0-927c-242f982fcf0e","resolution":{"observed_at":"2026-08-09T13:20:29.671201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.651804Z","title":"Generating diverse high-fidelity images with VQ-VAE-2","venue":null,"work_id":"0a8a6aa8-202d-4473-b7bb-9714ffa8ed12","year":2019},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.372957Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:63780eafb5a68cea40d2340b78a754e1a510b1bd4ae4ae032371186e8ae95b06","observation_id":"f896b96b-b1c5-4ef1-bc86-191b5a4936df","resolution":{"observed_at":"2026-08-09T13:20:29.656284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.638003Z","title":"Contrastive learning of general-purpose audio representations","venue":null,"work_id":"2f3e2db7-9d41-4902-a28f-7f25fd0af938","year":2021},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.376852Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:bdb6db777ecd9ba4464fe2367707cab34acb09519b1e4f4448c98b70e286fb06","observation_id":"6dfc5649-527d-460f-abd3-7bed337060fa","resolution":{"observed_at":"2026-08-09T13:20:29.642310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.624841Z","title":"A mathematical theory of communication","venue":null,"work_id":"4058e8f3-bf38-4968-a206-abf29022a5f8","year":1948},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.380963Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:db23697b794674ea3149edfe584d1c174b19ceab80d6b48470298d3c75a4f412","observation_id":"82269e56-4c98-43a7-aa19-2360e7f63960","resolution":{"observed_at":"2026-08-09T13:20:29.629093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.611120Z","title":"Video BERT : A joint model for video and language representation learning","venue":null,"work_id":"b13b27ce-214d-48df-908f-983f18f92e2e","year":2019},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.385034Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:8bacb4b9d5fab3319f62f6259571e088c9133050b2a43d3646573a62aad871bf","observation_id":"4f4a043b-4929-4212-86bf-fc2a5e0f51e7","resolution":{"observed_at":"2026-08-09T13:20:29.615905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.597671Z","title":"Two-stream convolutional networks for action recognition in videos","venue":null,"work_id":"6b22a1cc-9066-4b6a-982d-8e3e0d0a2523","year":2014},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.388986Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:392c6d942e8f4db41fa6a9800782ddc2955f6d06d08d5c51748c929529d68418","observation_id":"e994045f-f03a-4359-aa85-a0fedd489ab4","resolution":{"observed_at":"2026-08-09T13:20:29.602021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.392917Z","title":"Very deep convolutional networks for large-scale image recognition","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.392917Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:d54b1209472a48d7b8811c41eca38eef51a4fbf44ab644543d227bb53fe3793a","observation_id":"654bc189-0ed9-4cdd-9173-e6d132c4fa1d","resolution":{"observed_at":"2026-08-09T13:20:29.392917Z","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":"2026-08-09T13:20:29.574194Z","title":"Learning spatiotemporal features with 3D convolutional networks","venue":null,"work_id":"9eee6d05-b945-403f-b1e8-81eef380c724","year":2015},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.396896Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:96c53fc1309bcd13610495f2dd8c614bf2bcd14c03c42f8e6f6b85e62cd53e9f","observation_id":"7c799a88-a305-4a3d-8e45-f1d7872cbad0","resolution":{"observed_at":"2026-08-09T13:20:29.578660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.560691Z","title":"Video MAE : Masked autoencoders are data-efficient learners for self-supervised video pre-training","venue":null,"work_id":"1144fa20-52ec-4798-ba88-da2876121dfd","year":2022},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.401139Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:4332a37ee21fd2f5a6837e5e0d8f94ac5a0f2fc3ed300f8f6aaeb21b6a9fa5e6","observation_id":"a104aefb-5b5a-4119-bcf9-123d74277baf","resolution":{"observed_at":"2026-08-09T13:20:29.565132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-09T13:20:29.405072Z","title":"Representation learning with contrastive predictive coding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.405072Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:bb0e985b780bc57fccfb73ca7dc4b1f67308f8a44bf069e4c6a8b1478c537eae","observation_id":"cd371f2e-b29b-4e67-aa8c-cc514ba91b1e","resolution":{"observed_at":"2026-08-09T13:20:29.405072Z","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":"2026-08-09T13:20:29.546957Z","title":"Neural discrete representation learning","venue":null,"work_id":"d09ff8df-9d76-468b-a436-d8cdc51d5237","year":2017},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.409251Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:dd83373f6741e65b300922ecd09dc99ded75fe93c178f478e87a653781388154","observation_id":"592bc292-75b3-4261-b23b-15908d9f161f","resolution":{"observed_at":"2026-08-09T13:20:29.551430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.533203Z","title":"Image as a foreign language: BEIT pretraining for vision and vision-language tasks","venue":null,"work_id":"bcf9a5cf-303c-4d6e-9b20-86dacc469098","year":2023},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.413172Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:ed6fe1427c21c6682742d55ddc08d164aee1f86a84e03e728416817d8cb15a21","observation_id":"45d3deb3-8795-41a0-8272-9626c0cd15e1","resolution":{"observed_at":"2026-08-09T13:20:29.537692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-09T13:20:29.517084Z","title":"Sound S tream: An end-to-end neural audio codec","venue":null,"work_id":"da986f88-be20-487c-b65e-d9e8fdbc2e90","year":2021},"citing_paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-09T13:20:29.417440Z"},"links":{"citing_paper":"/paper/2502.02118"},"observation_digest":"sha256:729869e1ea69d96616a49fa57eb32069e0308d007fc880172badbd0a651b27ef","observation_id":"9f25b60d-c380-40b7-8faf-b67e6fb62cfd","resolution":{"observed_at":"2026-08-09T13:20:29.523408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.02118","last_updated":"2025-02-04T08:54:06Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T13:14:20.132781Z","submitted_at":"2025-02-04T08:54:06Z","title":"BRIDLE: Generalized Self-supervised Learning with Quantization"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":40},"total_outbound_references":48},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2502.02118."}