{"as_of":"2026-08-08T17:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d3cd6ecb54ce973aa3ffd22d356c899a43670dce4d488e31e7f3fd5aa921df1","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T15:14:17.283728Z","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":"2026-06-29T16:33:39.081263Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.10147","last_updated":"2023-05-31T09:05:34Z","snapshot_observed_at":"2026-07-06T15:05:00.197020Z","submitted_at":"2023-03-17T17:31:55Z","title":"CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10147","snapshot_observed_at":"2026-08-06T15:14:17.283728Z","title":"arXiv preprint arXiv:2303.10147 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16480","last_updated":"2025-07-22T11:36:08Z","snapshot_observed_at":"2026-08-06T15:06:09.929838Z","submitted_at":"2025-07-22T11:36:08Z","title":"Designing for Difference: How Human Characteristics Shape Perceptions of Collaborative Robots","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:14:17.283728Z"},"links":{"cited_paper":"/paper/2303.10147","citing_paper":"/paper/2507.16480"},"observation_digest":"sha256:a73c1aa45485d041c575e5e03215ce79376f1ce8dd54f263923f9e4b7b1822bf","observation_id":"3e79895d-f540-4335-915c-c4e09534eaba","resolution":{"observed_at":"2026-08-06T15:14:17.283728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10147","last_updated":"2023-05-31T09:05:34Z","snapshot_observed_at":"2026-07-06T15:05:00.197020Z","submitted_at":"2023-03-17T17:31:55Z","title":"CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation","version":2},"cited_work":{"arxiv_id":"2303.10147","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.10147","snapshot_observed_at":"2026-06-29T16:33:39.081263Z","title":"arXiv preprint arXiv:2303.10147 (2023)","venue":null,"work_id":"bfaef4a5-a208-4abf-b487-19724f809496","year":2023},"citing_paper":{"arxiv_id":"2605.02580","last_updated":"2026-05-04T13:33:43Z","snapshot_observed_at":"2026-07-06T23:15:37.099197Z","submitted_at":"2026-05-04T13:33:43Z","title":"Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-08T18:49:57.390578Z"},"links":{"cited_paper":"/paper/2303.10147","citing_paper":"/paper/2605.02580"},"observation_digest":"sha256:9da908b495eeb211932db28034875dfbd2f668c79370be4e34f318f98266575c","observation_id":"27d62dd2-e2b4-4eb4-a168-9132781e31be","resolution":{"observed_at":"2026-05-09T06:10:41.522884Z","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":"2303.10147","last_updated":"2023-05-31T09:05:34Z","snapshot_observed_at":"2026-07-06T15:05:00.197020Z","submitted_at":"2023-03-17T17:31:55Z","title":"CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation","version":2},"cited_work":{"arxiv_id":"2303.10147","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.10147","snapshot_observed_at":"2026-06-29T16:33:39.081263Z","title":"arXiv preprint arXiv:2303.10147 (2023)","venue":null,"work_id":"bfaef4a5-a208-4abf-b487-19724f809496","year":2023},"citing_paper":{"arxiv_id":"2605.26473","last_updated":"2026-05-26T02:31:19Z","snapshot_observed_at":"2026-08-01T21:12:47.546203Z","submitted_at":"2026-05-26T02:31:19Z","title":"Orion: Enabling Self-adaptive Memory Management for On-device Online Continual Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T16:27:26.995090Z"},"links":{"cited_paper":"/paper/2303.10147","citing_paper":"/paper/2605.26473"},"observation_digest":"sha256:8c47151e5c9b4fec99518c90a39ae7ecb551e80997efd328f5075391a7e67a72","observation_id":"25ce55df-6d8f-4a4e-acd4-030fa06f7ee4","resolution":{"observed_at":"2026-06-29T16:33:39.082806Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2303.10147/citation-record","integrity":"/paper/2303.10147/integrity","json":"/paper/2303.10147/citation-record.json","paper":"/paper/2303.10147"},"outbound":[],"paper":{"arxiv_id":"2303.10147","last_updated":"2023-05-31T09:05:34Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T15:05:00.197020Z","submitted_at":"2023-03-17T17:31:55Z","title":"CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation"},"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 3 inbound Pith citation observations for arXiv:2303.10147."}