{"as_of":"2026-08-10T04:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7c43c5a490d3e30c6e1f32c6f37e1f2f6844c96f612ee438628d085e0dbc3637","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T19:24:48.899301Z","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":"2026-07-03T10:17:57.432776Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.03234","last_updated":"2024-06-05T13:13:58Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:13:58Z","title":"Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2406.03234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.03234","snapshot_observed_at":"2026-07-03T10:17:57.432776Z","title":"Hwang, Y","venue":null,"work_id":"2e749f20-f5d5-48b8-9ae1-ec2da8852332","year":2024},"citing_paper":{"arxiv_id":"2606.01789","last_updated":"2026-06-01T07:09:06Z","snapshot_observed_at":"2026-08-08T14:08:06.159592Z","submitted_at":"2026-06-01T07:09:06Z","title":"Consistency evaluation of benchmarks used for causal discovery","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T14:25:13.422578Z"},"links":{"cited_paper":"/paper/2406.03234","citing_paper":"/paper/2606.01789"},"observation_digest":"sha256:f1ffd8874923d242fc643eaf8ca683d17985dfc0777e928277dd29115e41d886","observation_id":"8713b231-5936-4ee6-94d2-38aefcfec4f1","resolution":{"observed_at":"2026-07-01T23:26:22.024183Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03234","last_updated":"2024-06-05T13:13:58Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:13:58Z","title":"Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2406.03234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.03234","snapshot_observed_at":"2026-07-03T10:17:57.432776Z","title":"Hwang, Y","venue":null,"work_id":"2e749f20-f5d5-48b8-9ae1-ec2da8852332","year":2024},"citing_paper":{"arxiv_id":"2606.11525","last_updated":"2026-06-10T00:06:24Z","snapshot_observed_at":"2026-07-06T23:50:35.052764Z","submitted_at":"2026-06-10T00:06:24Z","title":"Learning Object Manipulation from Scratch via Contrastive Interaction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T10:10:21.427118Z"},"links":{"cited_paper":"/paper/2406.03234","citing_paper":"/paper/2606.11525"},"observation_digest":"sha256:29a9767c7406f96f459bbe856b9f31ee3e58aadc4d0b19a683548629fe71c4f5","observation_id":"f2ab46fc-b448-42d1-9d0a-9cff854520a8","resolution":{"observed_at":"2026-07-03T10:17:57.433993Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03234","last_updated":"2024-06-05T13:13:58Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:13:58Z","title":"Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03234","snapshot_observed_at":"2026-07-11T19:24:48.899301Z","title":"Fine-grained causal dynamics learning with quantization for improving robustness in reinforcement learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04409","last_updated":"2026-07-05T17:02:40Z","snapshot_observed_at":"2026-08-08T22:46:44.595810Z","submitted_at":"2026-07-05T17:02:40Z","title":"Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling","version":1},"reference_index":147,"source":"arxiv_source","source_observed_at":"2026-07-11T19:24:48.899301Z"},"links":{"cited_paper":"/paper/2406.03234","citing_paper":"/paper/2607.04409"},"observation_digest":"sha256:dbb67a5d9d062da21814d4d303d557ac1546d2adfc8324a6b702a23110113462","observation_id":"ab34f7da-74cc-48ec-9a1a-75e6f5c7d6c3","resolution":{"observed_at":"2026-07-11T19:24:48.899301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.03234/citation-record","integrity":"/paper/2406.03234/integrity","json":"/paper/2406.03234/citation-record.json","paper":"/paper/2406.03234"},"outbound":[],"paper":{"arxiv_id":"2406.03234","last_updated":"2024-06-05T13:13:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:13:58Z","title":"Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.03234."}