{"as_of":"2026-08-13T13:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:39a6f34145fb519fe00fe5e8298e2a55f8a1a3e692d4cb3f9491938c52d50fcb","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:28:51.351456Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.18172/citation-record","integrity":"/paper/2411.18172/integrity","json":"/paper/2411.18172/citation-record.json","paper":"/paper/2411.18172"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.580888Z","title":"FindingEmo : An image dataset for emotion recognition in the wild (accepted at NeurIPS 2024)","venue":null,"work_id":"0738620f-3cac-48c8-abd0-3808c8ac2e9c","year":2024},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.283956Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:46b84d87ee5803781979bd335aa36be508deb04d4587dfe3ace10a209fdc0891","observation_id":"45564086-a216-4a80-a63f-8254e522a605","resolution":{"observed_at":"2026-08-12T11:28:51.585915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.565113Z","title":"Context modeling in computer vision: Techniques, implications, and applications","venue":null,"work_id":"b2b22696-3a19-41f0-b672-3554531978d1","year":2011},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.289974Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:5490d809f1e49ec219d849fd49690f18b7e19828f78b296f2e9f002dd74d81c8","observation_id":"0af156a6-0103-420f-9b95-be8914c18a55","resolution":{"observed_at":"2026-08-12T11:28:51.570337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.00343","last_updated":"2023-03-20T10:53:12Z","snapshot_observed_at":"2026-07-06T12:33:15.789155Z","submitted_at":"2022-02-01T11:31:04Z","title":"Interactive configurator with FO(.) and IDP-Z3","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.00343","snapshot_observed_at":"2026-08-12T11:28:51.294760Z","title":"IDP-Z3 : A reasoning engine for FO (.)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.294760Z"},"links":{"cited_paper":"/paper/2202.00343","citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:49edc6c2c1053c34010b5c4bde63ab43b9c75b547059062522d025da856e10a1","observation_id":"efbec206-7a09-4cc3-a2e6-65a940f54fe3","resolution":{"observed_at":"2026-08-12T11:28:51.294760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.548693Z","title":"Building a Knowledge Base System for an Integration of Logic Programming and Classical Logic","venue":null,"work_id":"72776e4f-6094-442e-8251-9cb957746ac0","year":2008},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.299838Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:8f7c240756d31e0c62538f962c6afb65e3f0252b712251f4f8a37aa63c967371","observation_id":"a39c8e56-bd4c-4170-bc26-ec3e0931b8cc","resolution":{"observed_at":"2026-08-12T11:28:51.554007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.533641Z","title":null,"venue":null,"work_id":"91485689-419b-462c-a7b2-e08f6e18bb15","year":2016},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.305310Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:7859c0f141bb1c16fdf8840e1cd52151a76dbbca93f7c18c9fc74700a57f293e","observation_id":"dfe4379c-cb54-42b0-89ad-7267dda558c8","resolution":{"observed_at":"2026-08-12T11:28:51.538222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.310357Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.310357Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:20622e734ce38d1a8a917b83d4abb8d10c4e569ef1e438429ff645fac9bbf545","observation_id":"7507a4de-8724-435d-9a54-c828b200fe8a","resolution":{"observed_at":"2026-08-12T11:28:51.310357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.315670Z","title":"Deepproblog: Neural probabilistic logic programming","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.315670Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:6426088b5b22ef9c6d2c2dae01296f20d9f0fd6f9b137146cd5faf93c4ac92e0","observation_id":"2a205a9a-7155-44d4-9eb8-5e1c89d58bf9","resolution":{"observed_at":"2026-08-12T11:28:51.315670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.500002Z","title":"Neurasp: Embracing neural networks into answer set programming","venue":null,"work_id":"be66f8a7-68db-43de-969b-7b7a79e6d05b","year":2020},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.320390Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:5a035e915c1ebf0b2dcc06afbb1a94239ca7bb004829eb92246042ed1d315bd3","observation_id":"79e2361a-488e-474a-b770-914146d7bfb9","resolution":{"observed_at":"2026-08-12T11:28:51.504905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.484696Z","title":"From statistical relational to neurosymbolic artificial intelligence: A survey","venue":null,"work_id":"7d93f874-a970-4cfe-a8b0-bf59ed5559a4","year":2024},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.325306Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:ca4f22f6d3e35bfe4c0dd7dbea20a95235d7ae1a7c39261092c49797d7e0a60c","observation_id":"64944d4f-c261-4ce2-9f0e-e923980d81f1","resolution":{"observed_at":"2026-08-12T11:28:51.489570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.467562Z","title":"Hybrid Classification and Reasoning for Image-Based Constraint Solving","venue":null,"work_id":"ffb34d6d-3fe7-48a8-8fa0-0aae915f1c65","year":2020},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.329501Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:19822bac162ff32634a2aee2091b9d2f813e83c71d3d1c518577d7c7324ba50b","observation_id":"a1e6d15f-0ee0-4abb-9c9b-8358357a73e7","resolution":{"observed_at":"2026-08-12T11:28:51.473374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.333797Z","title":"Haykin, editor","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.333797Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:2986763866cf1832222eb39eadc87fbfb21e23976e7778e3a183558195babba2","observation_id":"54376d0f-4d73-4638-b28b-a3a2f3f19561","resolution":{"observed_at":"2026-08-12T11:28:51.333797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.442994Z","title":"Delfosse and P","venue":null,"work_id":"d8b04ad2-7158-43de-a79d-ede5a9eb120d","year":null},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.338174Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:84b0fdd75db15017f15a11a0e3b0021c30682360e85d116dd257aed1763a6a35","observation_id":"c1154633-01bc-468a-8035-e39c24e76d97","resolution":{"observed_at":"2026-08-12T11:28:51.447527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.427992Z","title":"Cruces, A","venue":null,"work_id":"dd4c875f-7d1c-4337-bad6-4795abe3f67e","year":2001},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.342769Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:7f993052b77474b1845530728afd0bc6e7e5bebafe45a02ff2c6d0e966f20bd0","observation_id":"8e46e2a8-9a2f-4d9c-8f2a-76a203517858","resolution":{"observed_at":"2026-08-12T11:28:51.432894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.413291Z","title":"Vrins, C","venue":null,"work_id":"9c09b8e2-afbc-4c59-b895-4d48c6ba0516","year":null},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.347062Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:80bc1586c58a564602c7ea52b8b7907bcd3dfa137538e1045f576ad05cf14178","observation_id":"6b362496-f6a3-41b8-a149-7150fbe7d15d","resolution":{"observed_at":"2026-08-12T11:28:51.418012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:28:51.397582Z","title":null,"venue":null,"work_id":"0ca98102-980b-4aa6-9a75-a988eef1dc78","year":null},"citing_paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T11:28:51.351456Z"},"links":{"citing_paper":"/paper/2411.18172"},"observation_digest":"sha256:bf8221bf68343abdbd20fc2fdd736a696e6bf66a75d9c786496547225e32f8d3","observation_id":"9d6d4d73-81d1-4d9f-b35e-c0f8ea520d57","resolution":{"observed_at":"2026-08-12T11:28:51.403034Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.18172","last_updated":"2024-11-27T09:36:03Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T12:13:14.929994Z","submitted_at":"2024-11-27T09:36:03Z","title":"Enhancing Computer Vision with Knowledge: a Rummikub Case Study"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":9},"total_outbound_references":15},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.18172."}