{"as_of":"2026-08-12T06:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1fc5682196ce008fda5c2e210f5eca9ddaba3f37431f012b1fc5e661e7bf095c","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T00:48:45.945199Z","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":"2026-05-22T20:32:04.787251Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-08-10T19:08:01.259736Z","title":"Parameter space noise for exploration.arXiv preprint arXiv:1706.01905, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.10698","last_updated":"2025-01-18T08:37:33Z","snapshot_observed_at":"2026-08-10T18:59:36.224256Z","submitted_at":"2025-01-18T08:37:33Z","title":"An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T19:08:01.259736Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2501.10698"},"observation_digest":"sha256:baf01842e7fb946ec33180fcf7311db50d7e4d8a837f7b7c1042a939e489e171","observation_id":"357edabb-e828-419c-af83-b806e004b4c1","resolution":{"observed_at":"2026-08-10T19:08:01.259736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":"1706.01905","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parameter Space Noise for Exploration","venue":"cs.LG","work_id":"39633dc4-2c71-4c19-9243-6c0a509a410f","year":2017},"citing_paper":{"arxiv_id":"2504.09365","last_updated":"2025-07-17T14:42:35Z","snapshot_observed_at":"2026-08-02T11:33:42.233593Z","submitted_at":"2025-04-12T23:11:10Z","title":"Identifying Protein Co-regulatory Network Logic by Solving B-SAT Problems through Gate-based Quantum Computing","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-22T20:28:08.117392Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2504.09365"},"observation_digest":"sha256:aaf644a3a1f635bdd8d1176cfebb1951b89b2050702c523fcbe6e651439b6777","observation_id":"f7766f42-bfc5-45f1-9c17-5323902ecd46","resolution":{"observed_at":"2026-05-22T20:32:04.788733Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":"1706.01905","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parameter Space Noise for Exploration","venue":"cs.LG","work_id":"39633dc4-2c71-4c19-9243-6c0a509a410f","year":2017},"citing_paper":{"arxiv_id":"2506.14648","last_updated":"2026-05-21T02:08:17Z","snapshot_observed_at":"2026-07-06T21:43:40.740750Z","submitted_at":"2025-06-17T15:42:19Z","title":"SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-22T13:27:48.404574Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2506.14648"},"observation_digest":"sha256:6693dd0fd5fc00b9c03e5c272e81975140499cef5fb5e4488a015bfbead1f4aa","observation_id":"cdef8947-9882-4b0c-9613-e3373329bdba","resolution":{"observed_at":"2026-05-22T13:31:36.497974Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-08-06T22:30:08.204326Z","title":"Parameter space noise for exploration","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.21367","last_updated":"2025-06-26T15:16:35Z","snapshot_observed_at":"2026-08-09T00:13:58.355869Z","submitted_at":"2025-06-26T15:16:35Z","title":"rQdia: Regularizing Q-Value Distributions With Image Augmentation","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-06T22:30:08.204326Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2506.21367"},"observation_digest":"sha256:e8ac6b129274a841d11388c6f2ce49f5b7111c7da716d5a73af75edc9eaf22e4","observation_id":"3fb7184f-5586-441a-95ad-94a36d5ceed8","resolution":{"observed_at":"2026-08-06T22:30:08.204326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-08-06T21:45:09.856682Z","title":"Plappert, R","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.23768","last_updated":"2026-05-29T14:04:54Z","snapshot_observed_at":"2026-08-09T23:19:22.267915Z","submitted_at":"2025-06-30T12:13:37Z","title":"Motion Tracking with Muscles: Predictive Control of a Parametric Musculoskeletal Canine Model","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:09.856682Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2506.23768"},"observation_digest":"sha256:33c8f8304a1049358158b2a407b8d081f1f8a226be86df396d6b1613a13955a5","observation_id":"bfe0a297-93ea-49f5-9b10-68b1ad84c06d","resolution":{"observed_at":"2026-08-06T21:45:09.856682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-08-06T14:48:50.593230Z","title":"Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, and Marcin Andrychowicz","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.17668","last_updated":"2025-09-10T12:25:27Z","snapshot_observed_at":"2026-08-08T15:32:47.481175Z","submitted_at":"2025-07-23T16:31:38Z","title":"How Should We Meta-Learn Reinforcement Learning Algorithms?","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T14:48:50.593230Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2507.17668"},"observation_digest":"sha256:23b4b175b727691400009bbbb1351143eb2cd3f1f4eab1a1b3c0ca2af783951d","observation_id":"8f69eaaf-88c3-44ef-a1dd-9c73bda00a80","resolution":{"observed_at":"2026-08-06T14:48:50.593230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-07-14T07:42:38.840826Z","title":"Plappert, R","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.11005","last_updated":"2026-07-13T02:10:07Z","snapshot_observed_at":"2026-08-09T07:49:21.814844Z","submitted_at":"2026-07-13T02:10:07Z","title":"Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-14T07:42:38.840826Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2607.11005"},"observation_digest":"sha256:8ff39496938998f7e04f7ab85538a242cdc9b112867f0fab7cdccc0683e5a5a2","observation_id":"563e4688-43f0-4532-aa61-9a8108829ca2","resolution":{"observed_at":"2026-07-14T07:42:38.840826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-08-01T21:12:14.556727Z","title":"Plappert, R","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.16183","last_updated":"2026-07-17T17:57:49Z","snapshot_observed_at":"2026-08-03T17:36:07.986054Z","submitted_at":"2026-07-17T17:57:49Z","title":"A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing","version":1},"reference_index":120,"source":"pdf_text","source_observed_at":"2026-08-01T21:12:14.556727Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2607.16183"},"observation_digest":"sha256:8c23b7054cb4557aacf4b38e38079ab5070f75699ccc28431b95118141fbd98b","observation_id":"47ac78f2-a676-4689-a981-a3d23ef23921","resolution":{"observed_at":"2026-08-01T21:12:14.556727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-08-01T16:34:36.326349Z","title":"Pa- rameter space noise for exploration.arXiv preprint arXiv:1706.01905, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.17965","last_updated":"2026-07-20T14:05:54Z","snapshot_observed_at":"2026-08-09T13:27:33.094124Z","submitted_at":"2026-07-20T14:05:54Z","title":"Exploration Matters for Escaping the Blur Trap in 3D Gaussian Splatting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T16:34:36.326349Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2607.17965"},"observation_digest":"sha256:88c7389334805d82cb8d53c3423f636436dab965e95da4f66051fb0b2c3b546c","observation_id":"5839300d-8528-46ba-a88c-4bee75876e16","resolution":{"observed_at":"2026-08-01T16:34:36.326349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.01905","snapshot_observed_at":"2026-08-12T00:48:45.945199Z","title":"arXiv preprint arXiv:1706.01905 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07870","last_updated":"2026-08-08T02:44:43Z","snapshot_observed_at":"2026-08-12T05:15:44.701172Z","submitted_at":"2026-08-08T02:44:43Z","title":"V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control","version":1},"reference_index":198,"source":"arxiv_source","source_observed_at":"2026-08-12T00:48:45.945199Z"},"links":{"cited_paper":"/paper/1706.01905","citing_paper":"/paper/2608.07870"},"observation_digest":"sha256:97c9097eb1f2b84c26777161d55c3d4be6ea8ede240fed582251dfddbb0bc4cc","observation_id":"b91042c7-9aa1-4ac6-a8b3-d8a5f5198a65","resolution":{"observed_at":"2026-08-12T00:48:45.945199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1706.01905/citation-record","integrity":"/paper/1706.01905/integrity","json":"/paper/1706.01905/citation-record.json","paper":"/paper/1706.01905"},"outbound":[],"paper":{"arxiv_id":"1706.01905","last_updated":"2018-01-31T09:05:10Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T12:54:16.561808Z","submitted_at":"2017-06-06T18:09:29Z","title":"Parameter Space Noise for Exploration"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1706.01905."}