{"as_of":"2026-08-07T17:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7407636c654f0386e999cae793e1fadc0c4212f4e832bc7510c9269c199a4997","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":"2026-08-07T06:34:17.273281+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":"2026-08-01T22:14:35.617067Z","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":"2026-06-29T22:54:00.764516Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.01813","last_updated":"2023-12-26T05:27:46Z","snapshot_observed_at":"2026-07-06T16:42:36.107644Z","submitted_at":"2023-11-03T09:46:05Z","title":"FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation","version":3},"cited_work":{"arxiv_id":"2311.01813","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.01813","snapshot_observed_at":"2026-06-29T22:54:00.764516Z","title":"Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video gen- eration.arXiv preprint arXiv:2311.01813, 2023","venue":null,"work_id":"71bdaf93-a344-465d-a42b-fb6a5008a527","year":2023},"citing_paper":{"arxiv_id":"2504.17180","last_updated":"2026-04-03T02:52:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-24T01:34:12Z","title":"We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-22T18:56:39.735334Z"},"links":{"cited_paper":"/paper/2311.01813","citing_paper":"/paper/2504.17180"},"observation_digest":"sha256:bef656a4c0ec179a1044459691bbdf34e497b1d22d989632a56fcf1b9d133919","observation_id":"99fd2706-140c-47f0-81f2-4bff03c18ae7","resolution":{"observed_at":"2026-05-22T18:56:58.159507Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01813","last_updated":"2023-12-26T05:27:46Z","snapshot_observed_at":"2026-07-06T16:42:36.107644Z","submitted_at":"2023-11-03T09:46:05Z","title":"FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation","version":3},"cited_work":{"arxiv_id":"2311.01813","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.01813","snapshot_observed_at":"2026-06-29T22:54:00.764516Z","title":"Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video gen- eration.arXiv preprint arXiv:2311.01813, 2023","venue":null,"work_id":"71bdaf93-a344-465d-a42b-fb6a5008a527","year":2023},"citing_paper":{"arxiv_id":"2604.19193","last_updated":"2026-04-21T08:04:02Z","snapshot_observed_at":"2026-08-02T22:05:18.077263Z","submitted_at":"2026-04-21T08:04:02Z","title":"How Far Are Video Models from True Multimodal Reasoning?","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T02:44:52.920816Z"},"links":{"cited_paper":"/paper/2311.01813","citing_paper":"/paper/2604.19193"},"observation_digest":"sha256:31b9e850586c12e4b2c5b8aff561846f49a2abd18c70122d40d6fead00864b3e","observation_id":"216da338-cbcc-4efc-955b-3425461459dd","resolution":{"observed_at":"2026-05-11T12:51:03.923156Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01813","last_updated":"2023-12-26T05:27:46Z","snapshot_observed_at":"2026-07-06T16:42:36.107644Z","submitted_at":"2023-11-03T09:46:05Z","title":"FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation","version":3},"cited_work":{"arxiv_id":"2311.01813","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.01813","snapshot_observed_at":"2026-06-29T22:54:00.764516Z","title":"Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video gen- eration.arXiv preprint arXiv:2311.01813, 2023","venue":null,"work_id":"71bdaf93-a344-465d-a42b-fb6a5008a527","year":2023},"citing_paper":{"arxiv_id":"2605.26244","last_updated":"2026-05-25T18:12:09Z","snapshot_observed_at":"2026-08-06T05:46:08.521756Z","submitted_at":"2026-05-25T18:12:09Z","title":"LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T22:52:38.330851Z"},"links":{"cited_paper":"/paper/2311.01813","citing_paper":"/paper/2605.26244"},"observation_digest":"sha256:71ee31f1e8071dab561b0abfeb714d154c37cb99a81a2e3246bf5bb01f36c003","observation_id":"b2078459-455c-4a9a-b2c6-dff2f5ce1dbc","resolution":{"observed_at":"2026-06-29T22:54:00.766237Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01813","last_updated":"2023-12-26T05:27:46Z","snapshot_observed_at":"2026-07-06T16:42:36.107644Z","submitted_at":"2023-11-03T09:46:05Z","title":"FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation","version":3},"cited_work":{"arxiv_id":"2311.01813","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.01813","snapshot_observed_at":"2026-06-29T22:54:00.764516Z","title":"Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video gen- eration.arXiv preprint arXiv:2311.01813, 2023","venue":null,"work_id":"71bdaf93-a344-465d-a42b-fb6a5008a527","year":2023},"citing_paper":{"arxiv_id":"2605.26918","last_updated":"2026-05-26T12:16:41Z","snapshot_observed_at":"2026-08-07T07:27:10.940823Z","submitted_at":"2026-05-26T12:16:41Z","title":"Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-29T18:17:52.284353Z"},"links":{"cited_paper":"/paper/2311.01813","citing_paper":"/paper/2605.26918"},"observation_digest":"sha256:48cc5adec49dbd1fc65189cc80be099c1b7a35b0f1c0d134a47392b6bce4a7a3","observation_id":"a73ea158-4690-4752-b760-97aa19c20fbf","resolution":{"observed_at":"2026-06-29T18:23:50.889184Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01813","last_updated":"2023-12-26T05:27:46Z","snapshot_observed_at":"2026-07-06T16:42:36.107644Z","submitted_at":"2023-11-03T09:46:05Z","title":"FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.01813","snapshot_observed_at":"2026-08-01T22:14:35.617067Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15846","last_updated":"2026-07-17T11:04:21Z","snapshot_observed_at":"2026-08-07T09:07:30.834173Z","submitted_at":"2026-07-17T11:04:21Z","title":"DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T22:14:35.617067Z"},"links":{"cited_paper":"/paper/2311.01813","citing_paper":"/paper/2607.15846"},"observation_digest":"sha256:07120c550b3bdc8f91bc2f57df0ecfe0f729164a744ccedf62a4e8e7cfb6dff5","observation_id":"eb651483-7cde-4a54-89d2-2109ec93c665","resolution":{"observed_at":"2026-08-01T22:14:35.617067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.01813/citation-record","integrity":"/paper/2311.01813/integrity","json":"/paper/2311.01813/citation-record.json","paper":"/paper/2311.01813"},"outbound":[],"paper":{"arxiv_id":"2311.01813","last_updated":"2023-12-26T05:27:46Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:42:36.107644Z","submitted_at":"2023-11-03T09:46:05Z","title":"FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.01813."}