{"as_of":"2026-08-05T02:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83d77cc557fe3c3ed2409933b13aa90f029125a06caef435f50f0f86a967b290","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T19:29:34.901868Z","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":"2026-07-02T08:46:49.150026Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.05867","last_updated":"2022-01-15T15:03:17Z","snapshot_observed_at":"2026-08-05T00:54:21.083935Z","submitted_at":"2022-01-15T15:03:17Z","title":"Transferability in Deep Learning: A Survey","version":1},"cited_work":{"arxiv_id":"2201.05867","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.05867","snapshot_observed_at":"2026-07-02T08:46:49.150026Z","title":"arXiv preprint arXiv:2201.05867 (2022)","venue":null,"work_id":"8cf00972-45fc-4fe5-ac1e-d27968e222c1","year":2022},"citing_paper":{"arxiv_id":"2507.12590","last_updated":"2025-08-10T03:45:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-16T19:18:25Z","title":"From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-19T03:55:23.526772Z"},"links":{"cited_paper":"/paper/2201.05867","citing_paper":"/paper/2507.12590"},"observation_digest":"sha256:78137324c109e201a83e7a756adf3dd23267f968bc16f1a7d791c8f1fae42b84","observation_id":"4f69a97e-d8a1-4837-adcf-1fa75c45c9e9","resolution":{"observed_at":"2026-05-19T03:57:02.997851Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05867","last_updated":"2022-01-15T15:03:17Z","snapshot_observed_at":"2026-08-05T00:54:21.083935Z","submitted_at":"2022-01-15T15:03:17Z","title":"Transferability in Deep Learning: A Survey","version":1},"cited_work":{"arxiv_id":"2201.05867","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.05867","snapshot_observed_at":"2026-07-02T08:46:49.150026Z","title":"arXiv preprint arXiv:2201.05867 (2022)","venue":null,"work_id":"8cf00972-45fc-4fe5-ac1e-d27968e222c1","year":2022},"citing_paper":{"arxiv_id":"2507.22101","last_updated":"2026-05-05T13:51:40Z","snapshot_observed_at":"2026-07-06T22:04:49.159747Z","submitted_at":"2025-07-29T17:59:48Z","title":"AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock","version":2},"reference_index":287,"source":"pdf_text","source_observed_at":"2026-05-19T02:03:46.331803Z"},"links":{"cited_paper":"/paper/2201.05867","citing_paper":"/paper/2507.22101"},"observation_digest":"sha256:f22b8b67783c6bd5266a35b76e299efef34288d4d9574ed88a596143cbd96e68","observation_id":"2818b661-57a6-4623-8fe0-c043728f4c0d","resolution":{"observed_at":"2026-05-19T02:06:58.776994Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05867","last_updated":"2022-01-15T15:03:17Z","snapshot_observed_at":"2026-08-05T00:54:21.083935Z","submitted_at":"2022-01-15T15:03:17Z","title":"Transferability in Deep Learning: A Survey","version":1},"cited_work":{"arxiv_id":"2201.05867","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.05867","snapshot_observed_at":"2026-07-02T08:46:49.150026Z","title":"arXiv preprint arXiv:2201.05867 (2022)","venue":null,"work_id":"8cf00972-45fc-4fe5-ac1e-d27968e222c1","year":2022},"citing_paper":{"arxiv_id":"2605.23028","last_updated":"2026-05-21T20:51:00Z","snapshot_observed_at":"2026-08-02T13:51:46.173822Z","submitted_at":"2026-05-21T20:51:00Z","title":"RADAR: Relative Angular Divergence Across Representations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T05:39:39.765999Z"},"links":{"cited_paper":"/paper/2201.05867","citing_paper":"/paper/2605.23028"},"observation_digest":"sha256:4d29708c5468937fb9663d27b117ffa0c924c74550f90b76ed743429cf519b0c","observation_id":"938627cf-50a8-4308-b79c-e1acf9490f73","resolution":{"observed_at":"2026-05-25T05:40:23.917574Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05867","last_updated":"2022-01-15T15:03:17Z","snapshot_observed_at":"2026-08-05T00:54:21.083935Z","submitted_at":"2022-01-15T15:03:17Z","title":"Transferability in Deep Learning: A Survey","version":1},"cited_work":{"arxiv_id":"2201.05867","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.05867","snapshot_observed_at":"2026-07-02T08:46:49.150026Z","title":"arXiv preprint arXiv:2201.05867 (2022)","venue":null,"work_id":"8cf00972-45fc-4fe5-ac1e-d27968e222c1","year":2022},"citing_paper":{"arxiv_id":"2606.00558","last_updated":"2026-05-30T06:16:35Z","snapshot_observed_at":"2026-07-06T23:41:15.410587Z","submitted_at":"2026-05-30T06:16:35Z","title":"Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T19:29:34.901868Z"},"links":{"cited_paper":"/paper/2201.05867","citing_paper":"/paper/2606.00558"},"observation_digest":"sha256:fe813d52f8bd33d0a3323eb16bfa30d96b7d7d8356d6701de4b757b4deb42027","observation_id":"512ca432-4cd1-477a-a606-96fb850dee62","resolution":{"observed_at":"2026-06-28T19:32:34.903210Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05867","last_updated":"2022-01-15T15:03:17Z","snapshot_observed_at":"2026-08-05T00:54:21.083935Z","submitted_at":"2022-01-15T15:03:17Z","title":"Transferability in Deep Learning: A Survey","version":1},"cited_work":{"arxiv_id":"2201.05867","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.05867","snapshot_observed_at":"2026-07-02T08:46:49.150026Z","title":"arXiv preprint arXiv:2201.05867 (2022)","venue":null,"work_id":"8cf00972-45fc-4fe5-ac1e-d27968e222c1","year":2022},"citing_paper":{"arxiv_id":"2606.05159","last_updated":"2026-06-03T17:57:09Z","snapshot_observed_at":"2026-08-01T02:57:19.610736Z","submitted_at":"2026-06-03T17:57:09Z","title":"X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T05:45:37.788703Z"},"links":{"cited_paper":"/paper/2201.05867","citing_paper":"/paper/2606.05159"},"observation_digest":"sha256:36a4115be70a7ce9f287aa1246ca560120e51ee19bb4def88061031a7d234f55","observation_id":"e0a7ddf0-42e9-48b7-a24f-4e997d26c0b7","resolution":{"observed_at":"2026-07-02T08:46:49.151343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2201.05867/citation-record","integrity":"/paper/2201.05867/integrity","json":"/paper/2201.05867/citation-record.json","paper":"/paper/2201.05867"},"outbound":[],"paper":{"arxiv_id":"2201.05867","last_updated":"2022-01-15T15:03:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T00:54:21.083935Z","submitted_at":"2022-01-15T15:03:17Z","title":"Transferability in Deep Learning: A Survey"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.05867."}