{"as_of":"2026-08-08T16:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2e98cf6ae2c4a36f062f1b26db7641389b910ae6233af129d111f97e554e889","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T19:04:31.918269Z","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":"2026-05-16T19:23:19.664516Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1611.01796","last_updated":"2017-06-17T01:49:12Z","snapshot_observed_at":"2026-08-07T07:28:18.330641Z","submitted_at":"2016-11-06T15:36:56Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches","version":2},"cited_work":{"arxiv_id":"1611.01796","doi":null,"metadata_source":"pith","pith_arxiv_id":"1611.01796","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches","venue":"cs.LG","work_id":"919c55c9-3b5e-4fac-a7b6-fd5541840ea9","year":2016},"citing_paper":{"arxiv_id":"2204.01691","last_updated":"2022-08-16T16:06:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-04T17:57:11Z","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T22:24:05.999350Z"},"links":{"cited_paper":"/paper/1611.01796","citing_paper":"/paper/2204.01691"},"observation_digest":"sha256:27f99d9d999f45a3e7b4bb82ede2c8bce17693bd75c5ff07a4cf4df23a45fd71","observation_id":"ebb559a3-6e06-4c7b-9ce6-5f200134ca13","resolution":{"observed_at":"2026-05-10T22:24:06.379508Z","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":"1611.01796","last_updated":"2017-06-17T01:49:12Z","snapshot_observed_at":"2026-08-07T07:28:18.330641Z","submitted_at":"2016-11-06T15:36:56Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches","version":2},"cited_work":{"arxiv_id":"1611.01796","doi":null,"metadata_source":"pith","pith_arxiv_id":"1611.01796","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches","venue":"cs.LG","work_id":"919c55c9-3b5e-4fac-a7b6-fd5541840ea9","year":2016},"citing_paper":{"arxiv_id":"2307.05973","last_updated":"2023-11-02T06:53:37Z","snapshot_observed_at":"2026-08-05T01:03:23.456778Z","submitted_at":"2023-07-12T07:40:48Z","title":"VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-13T08:57:22.299028Z"},"links":{"cited_paper":"/paper/1611.01796","citing_paper":"/paper/2307.05973"},"observation_digest":"sha256:a04154813a5e999a7da25e95b01011bee8bf69564496c652f1dbb1c6aa8a749b","observation_id":"98e73103-6098-46ba-94b0-ebf8f741935d","resolution":{"observed_at":"2026-05-13T08:57:22.471291Z","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":"1611.01796","last_updated":"2017-06-17T01:49:12Z","snapshot_observed_at":"2026-08-07T07:28:18.330641Z","submitted_at":"2016-11-06T15:36:56Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches","version":2},"cited_work":{"arxiv_id":"1611.01796","doi":null,"metadata_source":"pith","pith_arxiv_id":"1611.01796","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches","venue":"cs.LG","work_id":"919c55c9-3b5e-4fac-a7b6-fd5541840ea9","year":2016},"citing_paper":{"arxiv_id":"2512.21898","last_updated":"2026-02-01T23:43:52Z","snapshot_observed_at":"2026-07-06T22:40:07.339525Z","submitted_at":"2025-12-26T07:11:47Z","title":"Flexible Multitask Learning with Factorized Diffusion Policy","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-16T19:21:52.191786Z"},"links":{"cited_paper":"/paper/1611.01796","citing_paper":"/paper/2512.21898"},"observation_digest":"sha256:9a91fbf4a382a3845cdb618c4ad1ca8e03d6f0df76963f49f5112885f047024c","observation_id":"1c01d1ca-7a2c-499f-886f-e6c21535abb1","resolution":{"observed_at":"2026-05-16T19:23:19.666984Z","resolver_source":"local_arxiv","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":"1611.01796","last_updated":"2017-06-17T01:49:12Z","snapshot_observed_at":"2026-08-07T07:28:18.330641Z","submitted_at":"2016-11-06T15:36:56Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01796","snapshot_observed_at":"2026-07-31T19:04:31.918269Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24292","last_updated":"2026-07-27T11:39:22Z","snapshot_observed_at":"2026-08-07T12:54:19.753424Z","submitted_at":"2026-07-27T11:39:22Z","title":"Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-07-31T19:04:31.918269Z"},"links":{"cited_paper":"/paper/1611.01796","citing_paper":"/paper/2607.24292"},"observation_digest":"sha256:417cc8b268196885fd0ac7bb0926d1614eb963b21a036415ff2fbd32e705bf8f","observation_id":"9f87ac19-34d3-4319-855b-a02a7b5541c3","resolution":{"observed_at":"2026-07-31T19:04:31.918269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1611.01796/citation-record","integrity":"/paper/1611.01796/integrity","json":"/paper/1611.01796/citation-record.json","paper":"/paper/1611.01796"},"outbound":[],"paper":{"arxiv_id":"1611.01796","last_updated":"2017-06-17T01:49:12Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T07:28:18.330641Z","submitted_at":"2016-11-06T15:36:56Z","title":"Modular Multitask Reinforcement Learning with Policy Sketches"},"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 4 inbound Pith citation observations for arXiv:1611.01796."}