{"as_of":"2026-08-16T05:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:47e9cd5f9cec4b71975576c7b34a6d416eb0fcb6099786f100b83baf49f7a365","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T05:15:24.537542Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1909.01646/citation-record","integrity":"/paper/1909.01646/integrity","json":"/paper/1909.01646/citation-record.json","paper":"/paper/1909.01646"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.11532","last_updated":"2019-11-08T14:57:21Z","snapshot_observed_at":"2026-08-14T18:57:26.454752Z","submitted_at":"2018-06-29T16:56:07Z","title":"TextWorld: A Learning Environment for Text-based Games","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.11532","snapshot_observed_at":"2026-08-14T05:15:24.446749Z","title":"J.; Asri, L","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.446749Z"},"links":{"cited_paper":"/paper/1806.11532","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:466657e39667db0f6229299ef95d9a4ec25bc8da03f4abff10d71dcfbb12ef4e","observation_id":"a2441531-3bf5-4cc6-8324-29536819e7d6","resolution":{"observed_at":"2026-08-14T05:15:24.446749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.03429","last_updated":"2017-03-09T19:16:14Z","snapshot_observed_at":"2026-08-14T21:12:36.494832Z","submitted_at":"2017-03-09T19:16:14Z","title":"What can you do with a rock? Affordance extraction via word embeddings","version":1},"cited_work":{"arxiv_id":"1703.03429","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.03429","snapshot_observed_at":"2026-08-14T05:15:24.729616Z","title":"What can you do with a rock? Affordance extraction via word embeddings","venue":"cs.AI","work_id":"4e7e14d1-10bd-45ee-8f8c-0c9bb321b293","year":2017},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.462811Z"},"links":{"cited_paper":"/paper/1703.03429","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:4620afef4a3e22687d060645d0dfa62d7430ec396fbb670dbeaec97770ccaa69","observation_id":"bb95135e-af43-4390-aff3-33093cd9c2ed","resolution":{"observed_at":"2026-08-14T05:15:24.735457Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.05637","last_updated":"2017-05-16T10:55:08Z","snapshot_observed_at":"2026-08-14T21:00:25.068623Z","submitted_at":"2017-05-16T10:55:08Z","title":"Text-based Adventures of the Golovin AI Agent","version":1},"cited_work":{"arxiv_id":"1705.05637","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.05637","snapshot_observed_at":"2026-08-14T05:15:24.685524Z","title":"Text-based Adventures of the Golovin AI Agent","venue":"cs.AI","work_id":"638d078a-0ce2-447b-a3be-18e22d95416c","year":2017},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.483474Z"},"links":{"cited_paper":"/paper/1705.05637","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:a7f03fe025062e4b917738f6e47ade71d8bc1e07ffc6b1e49919d48ce62d8b7d","observation_id":"084f61ec-48ae-4977-882f-267a2c61008c","resolution":{"observed_at":"2026-08-14T05:15:24.692170Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.01783","last_updated":"2016-06-16T16:38:45Z","snapshot_observed_at":"2026-08-14T22:11:38.852257Z","submitted_at":"2016-02-04T18:38:41Z","title":"Asynchronous Methods for Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.01783","snapshot_observed_at":"2026-08-14T05:15:24.499065Z","title":"CoRR abs/1602.01783","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.499065Z"},"links":{"cited_paper":"/paper/1602.01783","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:43de09ef9cb58d9502644811d16a15baa376c83c5199cc0d061a69972ae1e85d","observation_id":"9ad68b37-3473-49fa-b5ca-106efdd57084","resolution":{"observed_at":"2026-08-14T05:15:24.499065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.830419Z","title":"D.; and Barzilay, R","venue":null,"work_id":"14d06dc2-c18c-4ef8-af43-d03d996ebe7f","year":null},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.504241Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:337056fb79b3ca58a13898d746e8032569c951cf960b886ae93a7aa306e7c931","observation_id":"141e9b57-63b6-44c7-b5b9-1c61029cd1e7","resolution":{"observed_at":"2026-08-14T05:15:24.835623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.08941","last_updated":"2015-09-11T23:16:13Z","snapshot_observed_at":"2026-08-14T22:42:24.459308Z","submitted_at":"2015-06-30T05:51:11Z","title":"Language Understanding for Text-based Games Using Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.08941","snapshot_observed_at":"2026-08-14T05:15:24.509598Z","title":"CoRR abs/1506.08941","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.509598Z"},"links":{"cited_paper":"/paper/1506.08941","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:53505c279adef6c8af4697650da8fe5e26b07c92b9ccf17551906aea20ce364c","observation_id":"9a743733-9a09-4c89-b606-835c2a32559d","resolution":{"observed_at":"2026-08-14T05:15:24.509598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.798288Z","title":"S., and Barto, A","venue":null,"work_id":"fd2b32d3-baa3-434f-8e3a-c4808c1750f3","year":2018},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.521133Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:76e565df1919b2e98827216d929471804220c6f3a8b85b95743e1d4663af8998","observation_id":"d02ae739-c02b-470b-842f-cbc9f2a5d477","resolution":{"observed_at":"2026-08-14T05:15:24.804107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.00855","last_updated":"2018-12-03T16:00:48Z","snapshot_observed_at":"2026-08-14T17:49:25.676906Z","submitted_at":"2018-12-03T16:00:48Z","title":"Towards Solving Text-based Games by Producing Adaptive Action Spaces","version":1},"cited_work":{"arxiv_id":"1812.00855","doi":null,"metadata_source":"pith","pith_arxiv_id":"1812.00855","snapshot_observed_at":"2026-08-14T05:15:24.612186Z","title":"Towards Solving Text-based Games by Producing Adaptive Action Spaces","venue":"cs.LG","work_id":"43059b03-636a-4f76-8333-6526bd2f1340","year":2018},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.526239Z"},"links":{"cited_paper":"/paper/1812.00855","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:5edd0a62a8fb244987d7cb08e3529e30dcf31f4353d4fd883d6ed6e0b04cda86","observation_id":"b1aba728-f653-4024-9960-84e32608e268","resolution":{"observed_at":"2026-08-14T05:15:24.617748Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.02265","last_updated":"2019-08-29T11:50:00Z","snapshot_observed_at":"2026-08-15T03:04:37.068527Z","submitted_at":"2019-05-06T21:14:41Z","title":"Comprehensible Context-driven Text Game Playing","version":3},"cited_work":{"arxiv_id":"1905.02265","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.02265","snapshot_observed_at":"2026-08-14T05:15:24.583685Z","title":"Comprehensible Context-driven Text Game Playing","venue":"cs.CL","work_id":"fa576b7d-ae3e-45a8-b631-333c02eaa3e4","year":2019},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.531870Z"},"links":{"cited_paper":"/paper/1905.02265","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:abdee8bd9606c479c9c18bda17baa9129516b8be73369c75831a9562d8791392","observation_id":"0cc32638-4a0d-4546-8657-55a76143468c","resolution":{"observed_at":"2026-08-14T05:15:24.592139Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.782587Z","title":"Ys84WnppVT4GhMM21wnx/hn0Xxw=","venue":null,"work_id":"f66837ed-bb37-426b-987d-7c5890f2d9dc","year":2018},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.537542Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:d4596dd9f3561799b3d324b6cc30c52f80a55b21ead3a7136a871e9a6329a8d5","observation_id":"8455791b-0fc7-4513-b179-6ec12df763d9","resolution":{"observed_at":"2026-08-14T05:15:24.787619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.865378Z","title":null,"venue":null,"work_id":"d7d02e82-dfe6-40e3-851c-4a71e5f93208","year":1980},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":1980,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.478328Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:8c9bd9f8ccf86b83f7f47975ed8727457ed9389fa6c4db5f47fe08dc0684377f","observation_id":"53141074-a312-4e58-887e-03a1630c8b48","resolution":{"observed_at":"2026-08-14T05:15:24.870232Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.914983Z","title":null,"venue":null,"work_id":"3a6c4367-5975-4e2d-86cc-32f6bfe0330c","year":1993},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":1993,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.452220Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:8a4cd73ffbcf5d216e1fe59c0af2b1ac5d95af0033864897fc5d636544ad69ee","observation_id":"8fd1940a-0440-4f2b-9363-748497c8e21f","resolution":{"observed_at":"2026-08-14T05:15:24.921003Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.882000Z","title":null,"venue":null,"work_id":"64d4c2ca-1ecc-4daf-a3c3-be43301204f9","year":1997},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":1997,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.473372Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:7bfa7990cb50cb8549dcff120220505de6b35d594d9826955fb4c49c2d3f53be","observation_id":"80f13826-6ab6-49c0-8a32-9db1c1e73cd5","resolution":{"observed_at":"2026-08-14T05:15:24.887367Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5602","last_updated":"2013-12-19T16:00:08Z","snapshot_observed_at":"2026-08-14T03:19:40.736445Z","submitted_at":"2013-12-19T16:00:08Z","title":"Playing Atari with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5602","snapshot_observed_at":"2026-08-14T05:15:24.488768Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.488768Z"},"links":{"cited_paper":"/paper/1312.5602","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:2158206cde8d824d1edf0cab6836beb9953dacf62e2d5aeb6e9cdff292cd388d","observation_id":"90f952db-8a7a-4dcd-8880-3207c514e907","resolution":{"observed_at":"2026-08-14T05:15:24.488768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.814542Z","title":null,"venue":null,"work_id":"7562b5d7-3d84-498c-9723-dba629f3da62","year":2014},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.515897Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:1af2c1713de70a4350708946195d2085d5527fe37a2bcc12ef606c59cbae88cf","observation_id":"ac4434c0-a581-4dc4-97bf-96db7cc17d2b","resolution":{"observed_at":"2026-08-14T05:15:24.819758Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.04636","last_updated":"2016-06-08T05:58:34Z","snapshot_observed_at":"2026-08-14T22:22:57.695380Z","submitted_at":"2015-11-14T23:30:39Z","title":"Deep Reinforcement Learning with a Natural Language Action Space","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.04636","snapshot_observed_at":"2026-08-14T05:15:24.467953Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.467953Z"},"links":{"cited_paper":"/paper/1511.04636","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:8e844873e2034286bf749f5ed6a928867ed2e5fb1572009d0d468fd1570f4ca9","observation_id":"8b02c891-4a94-4b7c-8421-a7fdb43284a6","resolution":{"observed_at":"2026-08-14T05:15:24.467953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.848184Z","title":"P.; Mirza, M.; Graves, A.; Lil- licrap, T","venue":null,"work_id":"1b4a75dd-434a-4876-bcc1-e9e6981ade7f","year":null},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.493912Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:8a7646696638e1df97ad093d4cac0256a90376c54937959f09660dc7da3313c1","observation_id":"67c31b78-02fd-40e0-b330-083a76834374","resolution":{"observed_at":"2026-08-14T05:15:24.853640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T05:15:24.898595Z","title":null,"venue":null,"work_id":"edb36b9a-b44a-4df0-a305-d3bcd6621e1d","year":null},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.457532Z"},"links":{"citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:ff343066b6da09fa8a955292bbd01960a0042f93ec76a333ebee56e5cd503280","observation_id":"d7558d7e-1be1-49e0-9af1-1e3b48e9fed3","resolution":{"observed_at":"2026-08-14T05:15:24.903933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.01628","last_updated":"2019-03-25T17:15:45Z","snapshot_observed_at":"2026-08-14T17:48:32.426069Z","submitted_at":"2018-12-04T19:06:00Z","title":"Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01628","snapshot_observed_at":"2026-08-14T05:15:24.440877Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T05:15:24.440877Z"},"links":{"cited_paper":"/paper/1812.01628","citing_paper":"/paper/1909.01646"},"observation_digest":"sha256:672ab180838d9e9751c851d0f53151672e7789dc0b7c05a5a874318ffb91fa39","observation_id":"90842a7c-5e2d-4f4a-bb41-ab427e9296d5","resolution":{"observed_at":"2026-08-14T05:15:24.440877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1909.01646","last_updated":"2019-09-04T09:30:55Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T21:13:43.362411Z","submitted_at":"2019-09-04T09:30:55Z","title":"LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":1,"unresolved":10,"verified_exact":3,"verified_fuzzy":4},"total_outbound_references":19},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1909.01646."}