{"as_of":"2026-08-07T06:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b656ddd4aa8eaac5e72cdafca9b83b6a868e650a25e756d5bcb708127211102","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":"2026-08-06T06:34:29.942622+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":"2026-08-06T15:53:58.237570Z","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":"2026-05-21T23:30:46.229569Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.06556","last_updated":"2023-02-15T21:17:03Z","snapshot_observed_at":"2026-08-03T02:07:53.587044Z","submitted_at":"2023-02-13T17:55:58Z","title":"VA-DepthNet: A Variational Approach to Single Image Depth Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06556","snapshot_observed_at":"2026-08-06T15:53:58.237570Z","title":"Va-depthnet: A variational approach to single image depth prediction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14879","last_updated":"2025-07-20T09:36:57Z","snapshot_observed_at":"2026-08-06T15:43:04.924660Z","submitted_at":"2025-07-20T09:36:57Z","title":"Region-aware Depth Scale Adaptation with Sparse Measurements","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:53:58.237570Z"},"links":{"cited_paper":"/paper/2302.06556","citing_paper":"/paper/2507.14879"},"observation_digest":"sha256:4adac3f161b78a2315d6f0fe18b939f441cbf86207938d8528d4f9a1c0b29892","observation_id":"0d195401-4eaa-4882-95bf-5a20e927f715","resolution":{"observed_at":"2026-08-06T15:53:58.237570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06556","last_updated":"2023-02-15T21:17:03Z","snapshot_observed_at":"2026-08-03T02:07:53.587044Z","submitted_at":"2023-02-13T17:55:58Z","title":"VA-DepthNet: A Variational Approach to Single Image Depth Prediction","version":2},"cited_work":{"arxiv_id":"2302.06556","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.06556","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Va-depthnet: A variational approach to single image depth prediction","venue":null,"work_id":"544126da-285a-4cbe-a13c-b45a1db406d6","year":2023},"citing_paper":{"arxiv_id":"2508.13977","last_updated":"2026-05-18T08:11:20Z","snapshot_observed_at":"2026-07-06T22:15:08.135791Z","submitted_at":"2025-08-19T16:13:49Z","title":"ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-21T23:25:59.908437Z"},"links":{"cited_paper":"/paper/2302.06556","citing_paper":"/paper/2508.13977"},"observation_digest":"sha256:161cccda1995775e9481e6f64d0e2e521824792d02dd18a68815fb5fda02f747","observation_id":"3c63d059-8cbb-4409-990d-50c22c8164af","resolution":{"observed_at":"2026-05-21T23:30:46.231979Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06556","last_updated":"2023-02-15T21:17:03Z","snapshot_observed_at":"2026-08-03T02:07:53.587044Z","submitted_at":"2023-02-13T17:55:58Z","title":"VA-DepthNet: A Variational Approach to Single Image Depth Prediction","version":2},"cited_work":{"arxiv_id":"2302.06556","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.06556","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Va-depthnet: A variational approach to single image depth prediction","venue":null,"work_id":"544126da-285a-4cbe-a13c-b45a1db406d6","year":2023},"citing_paper":{"arxiv_id":"2604.07664","last_updated":"2026-04-09T00:13:53Z","snapshot_observed_at":"2026-07-06T22:55:50.808914Z","submitted_at":"2026-04-09T00:13:53Z","title":"Monocular Depth Estimation From the Perspective of Feature Restoration: A Diffusion Enhanced Depth Restoration Approach","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T17:29:00.876702Z"},"links":{"cited_paper":"/paper/2302.06556","citing_paper":"/paper/2604.07664"},"observation_digest":"sha256:0b508577c3c5edcc3729231904a9c9c3ad84cd178581c9f4dbd2ab80c599606b","observation_id":"154f1502-4012-4f19-8936-58740f2cc972","resolution":{"observed_at":"2026-05-11T06:41:55.386706Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2302.06556/citation-record","integrity":"/paper/2302.06556/integrity","json":"/paper/2302.06556/citation-record.json","paper":"/paper/2302.06556"},"outbound":[],"paper":{"arxiv_id":"2302.06556","last_updated":"2023-02-15T21:17:03Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T02:07:53.587044Z","submitted_at":"2023-02-13T17:55:58Z","title":"VA-DepthNet: A Variational Approach to Single Image Depth Prediction"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.06556."}