{"as_of":"2026-08-19T19:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1dd3198b64a5ec16fbaf3ced8ac14e95e0925bcb3724a265c938c6e82d2b4469","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:17:33.666611Z","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":"2026-05-14T21:53:02.100939Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.05438","last_updated":"2021-06-10T00:23:33Z","snapshot_observed_at":"2026-08-16T18:18:13.799150Z","submitted_at":"2021-06-10T00:23:33Z","title":"Cross-Modal Discrete Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.05438","snapshot_observed_at":"2026-08-06T20:17:33.666611Z","title":"Cross- modal discrete representation learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.03304","last_updated":"2025-07-04T05:17:32Z","snapshot_observed_at":"2026-08-15T23:53:27.134208Z","submitted_at":"2025-07-04T05:17:32Z","title":"Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:17:33.666611Z"},"links":{"cited_paper":"/paper/2106.05438","citing_paper":"/paper/2507.03304"},"observation_digest":"sha256:1fd7b327a69ac95ad722db39f1205fdfc33db88c2cd331330fa79d43440dce9f","observation_id":"6a796008-bc33-4c1b-bc93-88294838052a","resolution":{"observed_at":"2026-08-06T20:17:33.666611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.05438","last_updated":"2021-06-10T00:23:33Z","snapshot_observed_at":"2026-08-16T18:18:13.799150Z","submitted_at":"2021-06-10T00:23:33Z","title":"Cross-Modal Discrete Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.05438","snapshot_observed_at":"2026-08-06T18:32:54.763435Z","title":"Cross- modal discrete representation learning.arXiv preprint arXiv:2106.05438, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.07997","last_updated":"2025-07-14T09:33:58Z","snapshot_observed_at":"2026-08-19T12:45:13.605918Z","submitted_at":"2025-07-10T17:59:54Z","title":"MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:54.763435Z"},"links":{"cited_paper":"/paper/2106.05438","citing_paper":"/paper/2507.07997"},"observation_digest":"sha256:278453c6da509937eb1c76013ae19d5074bfcec53165a1b31c0c14bf6d9f5bc2","observation_id":"ba18f4d1-3c5f-4941-b526-26759292792e","resolution":{"observed_at":"2026-08-06T18:32:54.763435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.05438","last_updated":"2021-06-10T00:23:33Z","snapshot_observed_at":"2026-08-16T18:18:13.799150Z","submitted_at":"2021-06-10T00:23:33Z","title":"Cross-Modal Discrete Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.05438","snapshot_observed_at":"2026-08-06T15:48:29.139488Z","title":"Cross- modal discrete representation learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.14935","last_updated":"2025-07-20T12:09:19Z","snapshot_observed_at":"2026-08-18T10:33:06.877069Z","submitted_at":"2025-07-20T12:09:19Z","title":"Open-set Cross Modal Generalization via Multimodal Unified Representation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:48:29.139488Z"},"links":{"cited_paper":"/paper/2106.05438","citing_paper":"/paper/2507.14935"},"observation_digest":"sha256:0dfe875c9d7a524d19457d2f4059b25ef3f36f74165e6e9c4bab0e800875dec6","observation_id":"b9e429f1-b3ba-46b4-82a2-594c73c93eff","resolution":{"observed_at":"2026-08-06T15:48:29.139488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.05438","last_updated":"2021-06-10T00:23:33Z","snapshot_observed_at":"2026-08-16T18:18:13.799150Z","submitted_at":"2021-06-10T00:23:33Z","title":"Cross-Modal Discrete Representation Learning","version":1},"cited_work":{"arxiv_id":"2106.05438","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.05438","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Liu, SouYoung Jin, Cheng-I Jeff Lai, An- drew Rouditchenko, Aude Oliva, and James R","venue":null,"work_id":"b8ac7555-aade-405a-a753-007009b7122e","year":2021},"citing_paper":{"arxiv_id":"2605.12145","last_updated":"2026-05-13T09:22:06Z","snapshot_observed_at":"2026-08-15T04:22:00.403778Z","submitted_at":"2026-05-12T14:03:30Z","title":"Cross-Modal-Domain Generalization Through Semantically Aligned Discrete Representations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T07:20:46.651636Z"},"links":{"cited_paper":"/paper/2106.05438","citing_paper":"/paper/2605.12145"},"observation_digest":"sha256:6999af21b248102b9456edbe266ef8f404428fbaa4273af241e9a3a374d3f14a","observation_id":"63902e54-277e-42da-832d-40754a5a0a4a","resolution":{"observed_at":"2026-05-13T07:22:28.879410Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.05438","last_updated":"2021-06-10T00:23:33Z","snapshot_observed_at":"2026-08-16T18:18:13.799150Z","submitted_at":"2021-06-10T00:23:33Z","title":"Cross-Modal Discrete Representation Learning","version":1},"cited_work":{"arxiv_id":"2106.05438","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.05438","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Liu, SouYoung Jin, Cheng-I Jeff Lai, An- drew Rouditchenko, Aude Oliva, and James R","venue":null,"work_id":"b8ac7555-aade-405a-a753-007009b7122e","year":2021},"citing_paper":{"arxiv_id":"2605.12145","last_updated":"2026-05-13T09:22:06Z","snapshot_observed_at":"2026-08-15T04:22:00.403778Z","submitted_at":"2026-05-12T14:03:30Z","title":"Cross-Modal-Domain Generalization Through Semantically Aligned Discrete Representations","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-14T21:52:31.915302Z"},"links":{"cited_paper":"/paper/2106.05438","citing_paper":"/paper/2605.12145"},"observation_digest":"sha256:9c606c32ad59dd620e7e7e58e3293b50c868c0ccc12eb78af575b7f81c9af1f3","observation_id":"8ce88ef5-1fb5-4387-a94c-b83d86339bcf","resolution":{"observed_at":"2026-05-14T21:53:02.104561Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.05438/citation-record","integrity":"/paper/2106.05438/integrity","json":"/paper/2106.05438/citation-record.json","paper":"/paper/2106.05438"},"outbound":[],"paper":{"arxiv_id":"2106.05438","last_updated":"2021-06-10T00:23:33Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T18:18:13.799150Z","submitted_at":"2021-06-10T00:23:33Z","title":"Cross-Modal Discrete Representation Learning"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.05438."}