{"as_of":"2026-08-20T10:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71fffdc153c0671952d99d5cce06bb4c02569613ecb6859a2ab4f4b54d848d5b","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":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":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:05:44.953930Z","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":"2026-07-02T21:07:24.278647Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.06749","last_updated":"2022-04-19T17:50:01Z","snapshot_observed_at":"2026-08-18T16:03:04.888712Z","submitted_at":"2021-12-13T16:00:33Z","title":"Step-unrolled Denoising Autoencoders for Text Generation","version":3},"cited_work":{"arxiv_id":"2112.06749","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.06749","snapshot_observed_at":"2026-07-02T21:07:24.278647Z","title":"Step-unrolled denoising autoencoders for text generation","venue":null,"work_id":"81308eb2-d148-4663-ab7d-7fa07022af49","year":2022},"citing_paper":{"arxiv_id":"2211.15089","last_updated":"2022-12-15T14:27:19Z","snapshot_observed_at":"2026-08-20T02:58:37.877653Z","submitted_at":"2022-11-28T06:08:54Z","title":"Continuous diffusion for categorical data","version":3},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-05-18T03:30:22.025578Z"},"links":{"cited_paper":"/paper/2112.06749","citing_paper":"/paper/2211.15089"},"observation_digest":"sha256:4adfc0578ad38d779804df0593d1a7bc67dc87553d48087de6afd1452ff7441b","observation_id":"81fab3cd-c47d-411a-ad71-bedb58a52c8c","resolution":{"observed_at":"2026-05-18T03:30:22.309304Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06749","last_updated":"2022-04-19T17:50:01Z","snapshot_observed_at":"2026-08-18T16:03:04.888712Z","submitted_at":"2021-12-13T16:00:33Z","title":"Step-unrolled Denoising Autoencoders for Text Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.06749","snapshot_observed_at":"2026-08-10T14:01:55.605080Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15781","last_updated":"2025-06-03T11:52:35Z","snapshot_observed_at":"2026-08-19T13:06:13.899290Z","submitted_at":"2025-01-27T04:59:29Z","title":"Large Language Models to Diffusion Finetuning","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-10T14:01:55.605080Z"},"links":{"cited_paper":"/paper/2112.06749","citing_paper":"/paper/2501.15781"},"observation_digest":"sha256:3ff9625b6ca08fa42f048c7f615e807c67a798a998eedbdb99a23918315d8443","observation_id":"c71652bd-c751-4c1c-8c2b-6c309e228e08","resolution":{"observed_at":"2026-08-10T14:01:55.605080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06749","last_updated":"2022-04-19T17:50:01Z","snapshot_observed_at":"2026-08-18T16:03:04.888712Z","submitted_at":"2021-12-13T16:00:33Z","title":"Step-unrolled Denoising Autoencoders for Text Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.06749","snapshot_observed_at":"2026-08-15T20:05:44.953930Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13485","last_updated":"2025-06-16T13:44:25Z","snapshot_observed_at":"2026-08-18T22:51:03.567849Z","submitted_at":"2025-06-16T13:44:25Z","title":"Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T20:05:44.953930Z"},"links":{"cited_paper":"/paper/2112.06749","citing_paper":"/paper/2506.13485"},"observation_digest":"sha256:47a52ffb17495d8f6b9a88e225eb2e2984066b7fd1e75627aa229ce9b39b33d9","observation_id":"ace6b773-229d-4588-bba1-e27c9aabced7","resolution":{"observed_at":"2026-08-15T20:05:44.953930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06749","last_updated":"2022-04-19T17:50:01Z","snapshot_observed_at":"2026-08-18T16:03:04.888712Z","submitted_at":"2021-12-13T16:00:33Z","title":"Step-unrolled Denoising Autoencoders for Text Generation","version":3},"cited_work":{"arxiv_id":"2112.06749","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.06749","snapshot_observed_at":"2026-07-02T21:07:24.278647Z","title":"Step-unrolled denoising autoencoders for text generation","venue":null,"work_id":"81308eb2-d148-4663-ab7d-7fa07022af49","year":2022},"citing_paper":{"arxiv_id":"2605.20476","last_updated":"2026-05-19T20:40:48Z","snapshot_observed_at":"2026-08-16T21:19:15.588976Z","submitted_at":"2026-05-19T20:40:48Z","title":"Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-21T07:17:58.742306Z"},"links":{"cited_paper":"/paper/2112.06749","citing_paper":"/paper/2605.20476"},"observation_digest":"sha256:883fefaf5311481cc53bc3b13cddbceaabbd016e6e6922b846d33a789ecbdd43","observation_id":"9845a5fa-96a8-49bc-9e8b-d389a042b02c","resolution":{"observed_at":"2026-05-21T07:19:46.803080Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06749","last_updated":"2022-04-19T17:50:01Z","snapshot_observed_at":"2026-08-18T16:03:04.888712Z","submitted_at":"2021-12-13T16:00:33Z","title":"Step-unrolled Denoising Autoencoders for Text Generation","version":3},"cited_work":{"arxiv_id":"2112.06749","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.06749","snapshot_observed_at":"2026-07-02T21:07:24.278647Z","title":"Step-unrolled denoising autoencoders for text generation","venue":null,"work_id":"81308eb2-d148-4663-ab7d-7fa07022af49","year":2022},"citing_paper":{"arxiv_id":"2606.07567","last_updated":"2026-05-25T19:53:02Z","snapshot_observed_at":"2026-08-12T20:50:17.193713Z","submitted_at":"2026-05-25T19:53:02Z","title":"SurfDesign: Effective Protein Design on Molecular Surfaces","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-06-29T19:24:06.143427Z"},"links":{"cited_paper":"/paper/2112.06749","citing_paper":"/paper/2606.07567"},"observation_digest":"sha256:8659a31cde997d74daa4f4afa394433db83feaf41fd1269591ae059b92504364","observation_id":"0a6afd67-4b1e-456d-b5e8-51d7e56b0f21","resolution":{"observed_at":"2026-06-29T19:33:54.307109Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.06749","last_updated":"2022-04-19T17:50:01Z","snapshot_observed_at":"2026-08-18T16:03:04.888712Z","submitted_at":"2021-12-13T16:00:33Z","title":"Step-unrolled Denoising Autoencoders for Text Generation","version":3},"cited_work":{"arxiv_id":"2112.06749","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.06749","snapshot_observed_at":"2026-07-02T21:07:24.278647Z","title":"Step-unrolled denoising autoencoders for text generation","venue":null,"work_id":"81308eb2-d148-4663-ab7d-7fa07022af49","year":2022},"citing_paper":{"arxiv_id":"2606.08184","last_updated":"2026-06-06T14:12:54Z","snapshot_observed_at":"2026-08-12T15:51:31.337477Z","submitted_at":"2026-06-06T14:12:54Z","title":"TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-06-27T19:54:39.953302Z"},"links":{"cited_paper":"/paper/2112.06749","citing_paper":"/paper/2606.08184"},"observation_digest":"sha256:884ad85836c4fb0f3cb57cfd3196e95d1852275d4efee55226239c03b8e19a3a","observation_id":"6fc1befb-7166-4719-85fb-a6135de90656","resolution":{"observed_at":"2026-07-02T21:07:24.279940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.06749/citation-record","integrity":"/paper/2112.06749/integrity","json":"/paper/2112.06749/citation-record.json","paper":"/paper/2112.06749"},"outbound":[],"paper":{"arxiv_id":"2112.06749","last_updated":"2022-04-19T17:50:01Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T16:03:04.888712Z","submitted_at":"2021-12-13T16:00:33Z","title":"Step-unrolled Denoising Autoencoders for Text 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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2112.06749."}