{"as_of":"2026-08-19T20:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b7ebe4316665bd500070a05d592a7558dda2d4583397fe9ec76c7a7081ffab5a","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:41:22.706885Z","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":"2026-05-12T03:21:19.131815Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2103.06561","last_updated":"2021-07-08T13:56:05Z","snapshot_observed_at":"2026-08-18T21:26:30.806502Z","submitted_at":"2021-03-11T09:39:49Z","title":"WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.06561","snapshot_observed_at":"2026-08-11T22:41:22.706885Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03220","last_updated":"2024-12-04T11:14:06Z","snapshot_observed_at":"2026-08-17T14:32:16.111397Z","submitted_at":"2024-12-04T11:14:06Z","title":"Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges","version":1},"reference_index":295,"source":"pdf_text","source_observed_at":"2026-08-11T22:41:22.706885Z"},"links":{"cited_paper":"/paper/2103.06561","citing_paper":"/paper/2412.03220"},"observation_digest":"sha256:5cadd3eb072bdbc72fc883b7bede326693115c454ca6bc762e01e99b888b6961","observation_id":"6f3319e5-8c7f-40b5-b4fa-daefab66bc62","resolution":{"observed_at":"2026-08-11T22:41:22.706885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.06561","last_updated":"2021-07-08T13:56:05Z","snapshot_observed_at":"2026-08-18T21:26:30.806502Z","submitted_at":"2021-03-11T09:39:49Z","title":"WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.06561","snapshot_observed_at":"2026-08-06T18:48:31.198006Z","title":"Wenlan: Bridging vision and language by large-scale multi-modal pre-training,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.07274","last_updated":"2025-07-09T20:45:04Z","snapshot_observed_at":"2026-08-09T12:42:36.949284Z","submitted_at":"2025-07-09T20:45:04Z","title":"LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:31.198006Z"},"links":{"cited_paper":"/paper/2103.06561","citing_paper":"/paper/2507.07274"},"observation_digest":"sha256:569f913dcd58af02f3d78af19510571d67abadaed67891aa7f26febe2c7cf192","observation_id":"ad48293e-7269-4dea-b663-5e103da3bdea","resolution":{"observed_at":"2026-08-06T18:48:31.198006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.06561","last_updated":"2021-07-08T13:56:05Z","snapshot_observed_at":"2026-08-18T21:26:30.806502Z","submitted_at":"2021-03-11T09:39:49Z","title":"WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training","version":6},"cited_work":{"arxiv_id":"2103.06561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.06561","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wenlan: Bridging vision and language by large-scale multi-modal pre-training","venue":null,"work_id":"5575f342-1cab-42fe-bfe5-a78a9615187e","year":2021},"citing_paper":{"arxiv_id":"2604.18460","last_updated":"2026-04-20T16:16:36Z","snapshot_observed_at":"2026-07-06T23:05:17.639285Z","submitted_at":"2026-04-20T16:16:36Z","title":"Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective","version":1},"reference_index":137,"source":"arxiv_source","source_observed_at":"2026-05-10T04:32:29.428080Z"},"links":{"cited_paper":"/paper/2103.06561","citing_paper":"/paper/2604.18460"},"observation_digest":"sha256:38627c3fc86988933fae5dec0290360f36567186a3ca872f72838b4a55a41b0e","observation_id":"cbc9bf25-acce-46a7-9ebe-a687392a4f4d","resolution":{"observed_at":"2026-05-11T11:51:03.247313Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2103.06561","last_updated":"2021-07-08T13:56:05Z","snapshot_observed_at":"2026-08-18T21:26:30.806502Z","submitted_at":"2021-03-11T09:39:49Z","title":"WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training","version":6},"cited_work":{"arxiv_id":"2103.06561","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.06561","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wenlan: Bridging vision and language by large-scale multi-modal pre-training","venue":null,"work_id":"5575f342-1cab-42fe-bfe5-a78a9615187e","year":2021},"citing_paper":{"arxiv_id":"2605.10769","last_updated":"2026-05-11T16:00:26Z","snapshot_observed_at":"2026-08-17T21:51:52.713704Z","submitted_at":"2026-05-11T16:00:26Z","title":"MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-12T03:17:06.383426Z"},"links":{"cited_paper":"/paper/2103.06561","citing_paper":"/paper/2605.10769"},"observation_digest":"sha256:27ec18244e40dbc28aa64941eaf2bbc6fc90d9689dadb12f18676d9a0917997f","observation_id":"b24e32b8-a468-4bde-a4fd-2b533aae2a3c","resolution":{"observed_at":"2026-05-12T03:21:19.133866Z","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/2103.06561/citation-record","integrity":"/paper/2103.06561/integrity","json":"/paper/2103.06561/citation-record.json","paper":"/paper/2103.06561"},"outbound":[],"paper":{"arxiv_id":"2103.06561","last_updated":"2021-07-08T13:56:05Z","latest_version":6,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T21:26:30.806502Z","submitted_at":"2021-03-11T09:39:49Z","title":"WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training"},"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 4 inbound Pith citation observations for arXiv:2103.06561."}