{"as_of":"2026-08-08T15:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ee350d0c61221417ef0f09c476bfa73482036d50cb845f995a05ca43939ddcd","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T13:43:19.144377Z","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":"2026-05-24T17:56:17.255557Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.10574","last_updated":"2019-12-28T20:12:11Z","snapshot_observed_at":"2026-07-06T06:47:10.993032Z","submitted_at":"2018-06-27T17:18:03Z","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition","version":5},"cited_work":{"arxiv_id":"1806.10574","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1806.10574","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0db1c2ca-c72d-4cd6-8138-d4a115fd7a24","year":2018},"citing_paper":{"arxiv_id":"1907.09728","last_updated":"2019-07-23T07:28:28Z","snapshot_observed_at":"2026-08-03T18:17:51.425049Z","submitted_at":"2019-07-23T07:28:28Z","title":"Interpretable and Steerable Sequence Learning via Prototypes","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-24T17:55:51.727573Z"},"links":{"cited_paper":"/paper/1806.10574","citing_paper":"/paper/1907.09728"},"observation_digest":"sha256:666dd94001f79813183bceb8a9296f14996f9648aec88ec2503b8a63a20c37cc","observation_id":"e8cc39d5-af9d-423b-9d86-e848f59643ac","resolution":{"observed_at":"2026-05-24T17:56:17.258546Z","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":"1806.10574","last_updated":"2019-12-28T20:12:11Z","snapshot_observed_at":"2026-07-06T06:47:10.993032Z","submitted_at":"2018-06-27T17:18:03Z","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10574","snapshot_observed_at":"2026-08-07T13:43:19.144377Z","title":"This looks like that: deep learning for interpretable image recognition.CoRR, abs/1806.10574,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.21589","last_updated":"2025-05-27T12:22:59Z","snapshot_observed_at":"2026-08-07T13:33:24.351691Z","submitted_at":"2025-05-27T12:22:59Z","title":"Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:19.144377Z"},"links":{"cited_paper":"/paper/1806.10574","citing_paper":"/paper/2505.21589"},"observation_digest":"sha256:78dcbf6a6001bdcd567357355c68986439cc5a2b64694a6cd185adec0c9adeb5","observation_id":"57c442e3-cc71-4f4c-86ea-69ed18b79ae9","resolution":{"observed_at":"2026-08-07T13:43:19.144377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.10574","last_updated":"2019-12-28T20:12:11Z","snapshot_observed_at":"2026-07-06T06:47:10.993032Z","submitted_at":"2018-06-27T17:18:03Z","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10574","snapshot_observed_at":"2026-08-06T20:19:58.203252Z","title":"This looks like that: Deep learning for interpretable image recognition,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.03315","last_updated":"2025-07-04T05:55:36Z","snapshot_observed_at":"2026-08-07T21:45:48.059376Z","submitted_at":"2025-07-04T05:55:36Z","title":"Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T20:19:58.203252Z"},"links":{"cited_paper":"/paper/1806.10574","citing_paper":"/paper/2507.03315"},"observation_digest":"sha256:eaf453542f72edfb442a859bd1bd9ae0f0a20ee141e3b2eb5da5a984e61e6b16","observation_id":"a9aa5f4f-3be4-49fa-9ced-3f98a6a76c6c","resolution":{"observed_at":"2026-08-06T20:19:58.203252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.10574","last_updated":"2019-12-28T20:12:11Z","snapshot_observed_at":"2026-07-06T06:47:10.993032Z","submitted_at":"2018-06-27T17:18:03Z","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10574","snapshot_observed_at":"2026-08-06T17:40:19.553742Z","title":", author Li, O","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.10642","last_updated":"2025-07-14T16:37:20Z","snapshot_observed_at":"2026-08-08T07:19:59.153889Z","submitted_at":"2025-07-14T16:37:20Z","title":"First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T17:40:19.553742Z"},"links":{"cited_paper":"/paper/1806.10574","citing_paper":"/paper/2507.10642"},"observation_digest":"sha256:c7fd430382d9985374e693a02ddfcd297c1680b06055ef0bd5e2e6f6b0e9c034","observation_id":"d837aa80-1890-4a89-8d1d-ff82d68b596d","resolution":{"observed_at":"2026-08-06T17:40:19.553742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.10574","last_updated":"2019-12-28T20:12:11Z","snapshot_observed_at":"2026-07-06T06:47:10.993032Z","submitted_at":"2018-06-27T17:18:03Z","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10574","snapshot_observed_at":"2026-08-05T11:21:35.560488Z","title":"8928–8939 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.02898","last_updated":"2025-09-02T23:47:43Z","snapshot_observed_at":"2026-08-07T14:10:16.523317Z","submitted_at":"2025-09-02T23:47:43Z","title":"PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:21:35.560488Z"},"links":{"cited_paper":"/paper/1806.10574","citing_paper":"/paper/2509.02898"},"observation_digest":"sha256:892e9c404aa7a81c8189b529ebfc0d39e35b228f370f1f694fd08470b664af1c","observation_id":"d74ce407-cd6b-462b-9545-ec3abecd6c85","resolution":{"observed_at":"2026-08-05T11:21:35.560488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1806.10574/citation-record","integrity":"/paper/1806.10574/integrity","json":"/paper/1806.10574/citation-record.json","paper":"/paper/1806.10574"},"outbound":[],"paper":{"arxiv_id":"1806.10574","last_updated":"2019-12-28T20:12:11Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T06:47:10.993032Z","submitted_at":"2018-06-27T17:18:03Z","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition"},"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 5 inbound Pith citation observations for arXiv:1806.10574."}