{"as_of":"2026-08-08T19:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4edaf2ea8d6102d3633a1b6aa8147a1e02f19f266ad136df6477dd0d97ec8874","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T10:54:21.141659Z","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":"2026-07-04T16:29:56.561330Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10283","snapshot_observed_at":"2026-08-04T10:54:21.141659Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.09685","last_updated":"2026-06-25T22:49:25Z","snapshot_observed_at":"2026-08-05T22:55:25.809841Z","submitted_at":"2025-10-09T04:08:23Z","title":"Deep Neural Networks Inspired by Differential Equations","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T10:54:21.141659Z"},"links":{"cited_paper":"/paper/2504.10283","citing_paper":"/paper/2510.09685"},"observation_digest":"sha256:78b847bb888bd53e10e8025405bb63d87b466de782b51734d8b97dcbd4220491","observation_id":"0fb3c777-6e23-4ca6-a0fe-deb63a33ad0d","resolution":{"observed_at":"2026-08-04T10:54:21.141659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","version":1},"cited_work":{"arxiv_id":"2504.10283","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.10283","snapshot_observed_at":"2026-07-04T16:29:56.561330Z","title":"α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models.arXiv:2504.10283","venue":null,"work_id":"ed40f1a1-d20e-46af-a514-b38fa3767022","year":null},"citing_paper":{"arxiv_id":"2601.21831","last_updated":"2026-05-06T23:40:59Z","snapshot_observed_at":"2026-07-06T22:43:30.761426Z","submitted_at":"2026-01-29T15:14:15Z","title":"Generative Modeling of Discrete Data Using Geometric Latent Subspaces","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T09:46:05.835850Z"},"links":{"cited_paper":"/paper/2504.10283","citing_paper":"/paper/2601.21831"},"observation_digest":"sha256:2a335c6a49fe443ea169c5ed8e2d36b86e2e850485f4a4a06c4d54544ae1f7d6","observation_id":"15fd4f60-e5c7-46f3-9bc4-e37b6cc89f1b","resolution":{"observed_at":"2026-05-16T09:47:41.826442Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","version":1},"cited_work":{"arxiv_id":"2504.10283","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.10283","snapshot_observed_at":"2026-07-04T16:29:56.561330Z","title":"α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models.arXiv:2504.10283","venue":null,"work_id":"ed40f1a1-d20e-46af-a514-b38fa3767022","year":null},"citing_paper":{"arxiv_id":"2604.11748","last_updated":"2026-04-15T16:15:30Z","snapshot_observed_at":"2026-08-02T15:24:02.860522Z","submitted_at":"2026-04-13T17:21:41Z","title":"LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T16:26:53.241071Z"},"links":{"cited_paper":"/paper/2504.10283","citing_paper":"/paper/2604.11748"},"observation_digest":"sha256:5bb17ac9bbba438a3c7eb6e716179fa9d47d45f526cc937405baeb91a323987a","observation_id":"2ae91c62-8258-481d-8cfd-1b444156360a","resolution":{"observed_at":"2026-05-11T08:50:59.536034Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","version":1},"cited_work":{"arxiv_id":"2504.10283","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.10283","snapshot_observed_at":"2026-07-04T16:29:56.561330Z","title":"α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models.arXiv:2504.10283","venue":null,"work_id":"ed40f1a1-d20e-46af-a514-b38fa3767022","year":null},"citing_paper":{"arxiv_id":"2604.15009","last_updated":"2026-04-16T13:36:04Z","snapshot_observed_at":"2026-08-07T04:06:57.088063Z","submitted_at":"2026-04-16T13:36:04Z","title":"Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T10:28:00.424341Z"},"links":{"cited_paper":"/paper/2504.10283","citing_paper":"/paper/2604.15009"},"observation_digest":"sha256:c93ba2f0237e7d62f889c07991d11e78bcff67607c1c76e896180b6cc9e44158","observation_id":"f964ae63-73a2-4c87-b6c3-78b929e3d081","resolution":{"observed_at":"2026-05-10T10:29:24.656778Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","version":1},"cited_work":{"arxiv_id":"2504.10283","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.10283","snapshot_observed_at":"2026-07-04T16:29:56.561330Z","title":"α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models.arXiv:2504.10283","venue":null,"work_id":"ed40f1a1-d20e-46af-a514-b38fa3767022","year":null},"citing_paper":{"arxiv_id":"2606.24140","last_updated":"2026-06-24T04:09:21Z","snapshot_observed_at":"2026-08-05T05:59:09.515606Z","submitted_at":"2026-06-23T04:48:45Z","title":"A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T00:43:23.068231Z"},"links":{"cited_paper":"/paper/2504.10283","citing_paper":"/paper/2606.24140"},"observation_digest":"sha256:b491a48e0ac7bda76e62ca023d1dc86fe2c12ca1146902263728e44dca70caba","observation_id":"2ac53db0-f56b-4033-90a1-1aa0abcd585b","resolution":{"observed_at":"2026-07-04T16:29:56.563199Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10283","snapshot_observed_at":"2026-07-13T00:48:08.651522Z","title":"α-flow: A unified framework for continuous- state discrete flow matching models.arXiv preprint arXiv:2504.10283, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09039","last_updated":"2026-07-10T02:11:43Z","snapshot_observed_at":"2026-08-02T23:13:10.516801Z","submitted_at":"2026-07-10T02:11:43Z","title":"Variable-Length Generative Protein Design via Generalized Poisson Flow","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T00:48:08.651522Z"},"links":{"cited_paper":"/paper/2504.10283","citing_paper":"/paper/2607.09039"},"observation_digest":"sha256:adf1a2ad9e413e6ea5cefa030bc97b9e8723642660a701746b5ca0dc2c4db202","observation_id":"d26bf328-f78c-4c8b-9af8-806fdf93fa55","resolution":{"observed_at":"2026-07-13T00:48:08.651522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10283","snapshot_observed_at":"2026-08-01T07:05:50.126125Z","title":"arXiv preprint arXiv:2504.10283 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21585","last_updated":"2026-07-23T17:57:38Z","snapshot_observed_at":"2026-08-07T00:32:22.804810Z","submitted_at":"2026-07-23T17:57:38Z","title":"Expanding Flow Maps","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-01T07:05:50.126125Z"},"links":{"cited_paper":"/paper/2504.10283","citing_paper":"/paper/2607.21585"},"observation_digest":"sha256:087b40adf6eebb9193202d46899906795db4aff37ecae0b0bd3918c4511970da","observation_id":"ea4c1f80-5755-4398-b5c4-90dcbf9b7637","resolution":{"observed_at":"2026-08-01T07:05:50.126125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.10283/citation-record","integrity":"/paper/2504.10283/integrity","json":"/paper/2504.10283/citation-record.json","paper":"/paper/2504.10283"},"outbound":[],"paper":{"arxiv_id":"2504.10283","last_updated":"2025-04-14T14:51:45Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:05:51.845710Z","submitted_at":"2025-04-14T14:51:45Z","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.10283."}