{"as_of":"2026-08-04T11:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9bb14f731c650be3f636cbf566fc1a05235aa95ea62ebc62013c5934aac62063","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":"2026-08-04T06:34:03.388597+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":"2026-08-03T05:20:45.992697Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-25T18:21:07.087750Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1803.03382","last_updated":"2018-06-07T21:48:19Z","snapshot_observed_at":"2026-07-06T06:27:24.379369Z","submitted_at":"2018-03-09T04:39:35Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","version":6},"cited_work":{"arxiv_id":"1803.03382","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.03382","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","venue":"cs.LG","work_id":"54ac04ba-511b-4e5a-ab34-f5ec3e9c4bd9","year":2018},"citing_paper":{"arxiv_id":"1906.09444","last_updated":"2019-06-22T13:20:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-06-22T13:20:57Z","title":"Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-25T18:18:52.897601Z"},"links":{"cited_paper":"/paper/1803.03382","citing_paper":"/paper/1906.09444"},"observation_digest":"sha256:4c17b79e586d919974e5dc235719783e9fc68a1c16dca99f4a6ba7ac90acd62c","observation_id":"4842a71c-1254-44c7-b81d-ed19134935dc","resolution":{"observed_at":"2026-05-25T18:21:07.090610Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.03382","last_updated":"2018-06-07T21:48:19Z","snapshot_observed_at":"2026-07-06T06:27:24.379369Z","submitted_at":"2018-03-09T04:39:35Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","version":6},"cited_work":{"arxiv_id":"1803.03382","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.03382","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","venue":"cs.LG","work_id":"54ac04ba-511b-4e5a-ab34-f5ec3e9c4bd9","year":2018},"citing_paper":{"arxiv_id":"1906.09601","last_updated":"2019-06-23T16:13:45Z","snapshot_observed_at":"2026-07-06T08:02:11.026981Z","submitted_at":"2019-06-23T16:13:45Z","title":"Sequence Generation: From Both Sides to the Middle","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T17:45:07.556389Z"},"links":{"cited_paper":"/paper/1803.03382","citing_paper":"/paper/1906.09601"},"observation_digest":"sha256:fde8c61eaad7d30d226e8c1d1bd90bbb34645dbdfadb655964ff74f8313eb6a7","observation_id":"13b64532-285a-4fb1-9ad8-640817aad0b9","resolution":{"observed_at":"2026-05-25T17:46:05.914300Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.03382","last_updated":"2018-06-07T21:48:19Z","snapshot_observed_at":"2026-07-06T06:27:24.379369Z","submitted_at":"2018-03-09T04:39:35Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","version":6},"cited_work":{"arxiv_id":"1803.03382","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.03382","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","venue":"cs.LG","work_id":"54ac04ba-511b-4e5a-ab34-f5ec3e9c4bd9","year":2018},"citing_paper":{"arxiv_id":"1909.05858","last_updated":"2019-09-20T20:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-09-11T17:57:18Z","title":"CTRL: A Conditional Transformer Language Model for Controllable Generation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-17T06:14:02.423030Z"},"links":{"cited_paper":"/paper/1803.03382","citing_paper":"/paper/1909.05858"},"observation_digest":"sha256:4b8e5b892836ed73e56dffb100653f61e6d5b7f9deba7fbcad7293487a3a30f3","observation_id":"201588f8-69d1-49a4-a375-c79214ca7743","resolution":{"observed_at":"2026-05-17T06:14:02.588954Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.03382","last_updated":"2018-06-07T21:48:19Z","snapshot_observed_at":"2026-07-06T06:27:24.379369Z","submitted_at":"2018-03-09T04:39:35Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","version":6},"cited_work":{"arxiv_id":"1803.03382","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.03382","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","venue":"cs.LG","work_id":"54ac04ba-511b-4e5a-ab34-f5ec3e9c4bd9","year":2018},"citing_paper":{"arxiv_id":"2512.03643","last_updated":"2026-04-04T05:28:18Z","snapshot_observed_at":"2026-07-06T22:37:41.555068Z","submitted_at":"2025-12-03T10:27:27Z","title":"Optical Context Compression Is Just (Bad) Autoencoding","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-17T02:55:06.012687Z"},"links":{"cited_paper":"/paper/1803.03382","citing_paper":"/paper/2512.03643"},"observation_digest":"sha256:020db8836bf93ae335c655e4bd3f65faab19951eade020c209c66a49ace478a5","observation_id":"69b18d8d-600b-4032-a1b6-b758410bd83e","resolution":{"observed_at":"2026-05-17T02:58:55.161013Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.03382","last_updated":"2018-06-07T21:48:19Z","snapshot_observed_at":"2026-07-06T06:27:24.379369Z","submitted_at":"2018-03-09T04:39:35Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.03382","snapshot_observed_at":"2026-08-03T05:20:45.992697Z","title":"emnlp-main.692/","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02726","last_updated":"2026-06-09T20:35:08Z","snapshot_observed_at":"2026-08-03T05:20:44.879703Z","submitted_at":"2026-02-02T19:43:20Z","title":"Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery","version":2},"reference_index":692,"source":"pdf_text","source_observed_at":"2026-08-03T05:20:45.992697Z"},"links":{"cited_paper":"/paper/1803.03382","citing_paper":"/paper/2602.02726"},"observation_digest":"sha256:2c79ace3d73a281d2eb149be28e35c8adf673c1909758f480b324e870963680f","observation_id":"e828579d-330d-4e10-b04e-f77c29c36578","resolution":{"observed_at":"2026-08-03T05:20:45.992697Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1803.03382/citation-record","integrity":"/paper/1803.03382/integrity","json":"/paper/1803.03382/citation-record.json","paper":"/paper/1803.03382"},"outbound":[],"paper":{"arxiv_id":"1803.03382","last_updated":"2018-06-07T21:48:19Z","latest_version":6,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T06:27:24.379369Z","submitted_at":"2018-03-09T04:39:35Z","title":"Fast Decoding in Sequence Models using Discrete Latent Variables"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1803.03382."}