{"as_of":"2026-08-09T12:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:534138a521cb010add10f9260581a0f4d766feb17f201fe447891230984d743a","coverage":[{"denominator":5,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:09:13.882633Z","state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T02:39:09.935429Z","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":"2026-05-12T02:41:17.545078Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.09105","last_updated":"2026-06-02T03:09:55Z","snapshot_observed_at":"2026-08-07T18:24:31.816576Z","submitted_at":"2025-07-12T01:34:50Z","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production","version":4},"cited_work":{"arxiv_id":"2507.09105","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.09105","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2507.09105 , year=","venue":null,"work_id":"0d802adc-1d80-4a8e-a109-8146ed83d88e","year":null},"citing_paper":{"arxiv_id":"2605.09771","last_updated":"2026-05-10T21:33:09Z","snapshot_observed_at":"2026-07-06T23:21:49.499951Z","submitted_at":"2026-05-10T21:33:09Z","title":"Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-12T02:39:09.935429Z"},"links":{"cited_paper":"/paper/2507.09105","citing_paper":"/paper/2605.09771"},"observation_digest":"sha256:787ccb0fa14d6cea68699c2353c463ad6f3a200546f1d15272e421743822ee4a","observation_id":"8ec61655-dcd1-4f77-a74d-5360ddda65d6","resolution":{"observed_at":"2026-06-03T02:05:09.471194Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.09105/citation-record","integrity":"/paper/2507.09105/integrity","json":"/paper/2507.09105/citation-record.json","paper":"/paper/2507.09105"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1803.10704","last_updated":"2019-04-05T05:57:50Z","snapshot_observed_at":"2026-08-09T07:30:36.742322Z","submitted_at":"2018-03-28T16:15:45Z","title":"End-to-End Multi-Task Learning with Attention","version":2},"cited_work":{"arxiv_id":"1803.10704","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.10704","snapshot_observed_at":"2026-08-06T18:09:14.031023Z","title":"End-to-End Multi-Task Learning with Attention","venue":"cs.CV","work_id":"15456321-8174-412f-94f7-5dff343e97a0","year":2018},"citing_paper":{"arxiv_id":"2507.09105","last_updated":"2026-06-02T03:09:55Z","snapshot_observed_at":"2026-08-07T18:24:31.816576Z","submitted_at":"2025-07-12T01:34:50Z","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production","version":4},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T18:09:13.742442Z"},"links":{"cited_paper":"/paper/1803.10704","citing_paper":"/paper/2507.09105"},"observation_digest":"sha256:034b20dc496307d64eed9458209340e1d2b526e11c3dc1596b77ccbbaed11c4f","observation_id":"a3a21c7d-8873-4a50-9b2f-ce4a45658236","resolution":{"observed_at":"2026-08-06T18:09:14.076141Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-06T18:09:13.882633Z","title":"Native pose keypoints","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.09105","last_updated":"2026-06-02T03:09:55Z","snapshot_observed_at":"2026-08-07T18:24:31.816576Z","submitted_at":"2025-07-12T01:34:50Z","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production","version":4},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T18:09:13.882633Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2507.09105"},"observation_digest":"sha256:67fde5bafbc6e9ce8de4e5f85ba88bbeeb5f208bb53fc91bfc366352cafcf5f9","observation_id":"9339bb37-2b2d-48c8-a807-5f2470f7ec11","resolution":{"observed_at":"2026-08-06T18:09:13.882633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08009","last_updated":"2025-11-10T04:36:27Z","snapshot_observed_at":"2026-08-02T00:07:53.851104Z","submitted_at":"2025-06-09T17:59:55Z","title":"Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.08009","snapshot_observed_at":"2026-08-06T18:09:13.645793Z","title":"Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, and Eli Shechtman","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09105","last_updated":"2026-06-02T03:09:55Z","snapshot_observed_at":"2026-08-07T18:24:31.816576Z","submitted_at":"2025-07-12T01:34:50Z","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production","version":4},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T18:09:13.645793Z"},"links":{"cited_paper":"/paper/2506.08009","citing_paper":"/paper/2507.09105"},"observation_digest":"sha256:0c2d0183430bab7e5d912608115cef1b81c1fc191eabeb6367185ff3e69644fd","observation_id":"0fd06437-33d2-472f-b709-377e3c43767c","resolution":{"observed_at":"2026-08-06T18:09:13.645793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.03003","last_updated":"2022-09-07T08:59:55Z","snapshot_observed_at":"2026-07-06T13:49:40.974495Z","submitted_at":"2022-09-07T08:59:55Z","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.03003","snapshot_observed_at":"2026-08-06T18:09:13.810305Z","title":"Seshadri Mazumder, Rudrabha Mukhopadhyay, Vinay P","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.09105","last_updated":"2026-06-02T03:09:55Z","snapshot_observed_at":"2026-08-07T18:24:31.816576Z","submitted_at":"2025-07-12T01:34:50Z","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production","version":4},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T18:09:13.810305Z"},"links":{"cited_paper":"/paper/2209.03003","citing_paper":"/paper/2507.09105"},"observation_digest":"sha256:2e2c0a8d099c49a6d43236a637c1dd11113346c9c2d4dd1568195532d14b2bea","observation_id":"0d54480f-cb22-469a-89ba-373d18902539","resolution":{"observed_at":"2026-08-06T18:09:13.810305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06264","last_updated":"2024-12-09T07:22:38Z","snapshot_observed_at":"2026-08-02T09:54:14.339169Z","submitted_at":"2024-12-09T07:22:38Z","title":"Flow Matching Guide and Code","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06264","snapshot_observed_at":"2026-08-06T18:09:13.686461Z","title":"Shikun Liu, Edward Johns, and Andrew J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.09105","last_updated":"2026-06-02T03:09:55Z","snapshot_observed_at":"2026-08-07T18:24:31.816576Z","submitted_at":"2025-07-12T01:34:50Z","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production","version":4},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T18:09:13.686461Z"},"links":{"cited_paper":"/paper/2412.06264","citing_paper":"/paper/2507.09105"},"observation_digest":"sha256:134b9bced4294d9d30cb7bac573df4e9a9cae3c4c4b21fe4fddd52c1c3890947","observation_id":"cbf9dc75-72e3-4181-a7d0-6d7b19b390a0","resolution":{"observed_at":"2026-08-06T18:09:13.686461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.09105","last_updated":"2026-06-02T03:09:55Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T18:24:31.816576Z","submitted_at":"2025-07-12T01:34:50Z","title":"Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production"},"reference_resolution":{"displayed":5,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":5},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2507.09105."}