{"as_of":"2026-08-08T23:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:39d32295aaeac1de7910a0fb598aadd233624725977c16c79cbfdd56d119d969","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T22:03:21.104884Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T15:58:21.368969Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.19087","last_updated":"2025-01-27T13:19:27Z","snapshot_observed_at":"2026-08-07T10:45:57.074798Z","submitted_at":"2024-06-27T11:14:14Z","title":"Dimensions underlying the representational alignment of deep neural networks with humans","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19087","snapshot_observed_at":"2026-08-08T22:03:21.104884Z","title":"Mahner, Lukas Muttenthaler, Umut Güçlü, and Martin N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04658","last_updated":"2025-04-21T15:57:10Z","snapshot_observed_at":"2026-08-08T21:55:18.542334Z","submitted_at":"2025-02-07T04:55:31Z","title":"Shifting Attention to You: Personalized Brain-Inspired AI Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T22:03:21.104884Z"},"links":{"cited_paper":"/paper/2406.19087","citing_paper":"/paper/2502.04658"},"observation_digest":"sha256:a9c03d97d3c86acd5d1d32c56236bebdef0dbec94ffde92d2a403304271f98ed","observation_id":"8ec5e81f-28ed-42a7-a54e-f5a5472884c0","resolution":{"observed_at":"2026-08-08T22:03:21.104884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19087","last_updated":"2025-01-27T13:19:27Z","snapshot_observed_at":"2026-08-07T10:45:57.074798Z","submitted_at":"2024-06-27T11:14:14Z","title":"Dimensions underlying the representational alignment of deep neural networks with humans","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19087","snapshot_observed_at":"2026-08-07T10:54:58.351830Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03994","last_updated":"2025-06-04T14:18:35Z","snapshot_observed_at":"2026-08-08T12:10:53.982961Z","submitted_at":"2025-06-04T14:18:35Z","title":"Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T10:54:58.351830Z"},"links":{"cited_paper":"/paper/2406.19087","citing_paper":"/paper/2506.03994"},"observation_digest":"sha256:be55df0e0d985ca30147aaf2c7fd7eb2946a3b7e7dd265eda9882801b283bb70","observation_id":"9cab8e71-b71a-4ced-881a-d4e04a2e8807","resolution":{"observed_at":"2026-08-07T10:54:58.351830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19087","last_updated":"2025-01-27T13:19:27Z","snapshot_observed_at":"2026-08-07T10:45:57.074798Z","submitted_at":"2024-06-27T11:14:14Z","title":"Dimensions underlying the representational alignment of deep neural networks with humans","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19087","snapshot_observed_at":"2026-08-06T16:42:26.504586Z","title":"P., Muttenthaler, L., Güçlü, U","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12889","last_updated":"2025-07-17T08:17:35Z","snapshot_observed_at":"2026-08-08T05:26:26.683924Z","submitted_at":"2025-07-17T08:17:35Z","title":"Camera-based implicit mind reading by capturing higher-order semantic dynamics of human gaze within environmental context","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:42:26.504586Z"},"links":{"cited_paper":"/paper/2406.19087","citing_paper":"/paper/2507.12889"},"observation_digest":"sha256:d265fa58e5d8f5650c211d0ae2067476aaacbecf251ce96eef2de8c2224c8719","observation_id":"846bbb08-d6cb-4eee-b4ed-9abe58184aee","resolution":{"observed_at":"2026-08-06T16:42:26.504586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19087","last_updated":"2025-01-27T13:19:27Z","snapshot_observed_at":"2026-08-07T10:45:57.074798Z","submitted_at":"2024-06-27T11:14:14Z","title":"Dimensions underlying the representational alignment of deep neural networks with humans","version":2},"cited_work":{"arxiv_id":"2406.19087","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.19087","snapshot_observed_at":"2026-08-06T15:58:21.368969Z","title":"Dimensions underlying the representational alignment of deep neural networks with humans","venue":"cs.CV","work_id":"4c1e0973-56f4-4bf0-813d-d120caf9598d","year":2024},"citing_paper":{"arxiv_id":"2507.14549","last_updated":"2025-07-19T09:12:13Z","snapshot_observed_at":"2026-08-08T09:43:02.623391Z","submitted_at":"2025-07-19T09:12:13Z","title":"Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:58:16.872962Z"},"links":{"cited_paper":"/paper/2406.19087","citing_paper":"/paper/2507.14549"},"observation_digest":"sha256:65a1a7f2249e0cdc1595c17b719523ff3db1c3de88bc3156cdd120b152bc32b7","observation_id":"c53acc01-49e2-4cdc-9752-c94350079e6b","resolution":{"observed_at":"2026-08-06T15:58:21.489485Z","resolver_source":"local_arxiv","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/2406.19087/citation-record","integrity":"/paper/2406.19087/integrity","json":"/paper/2406.19087/citation-record.json","paper":"/paper/2406.19087"},"outbound":[],"paper":{"arxiv_id":"2406.19087","last_updated":"2025-01-27T13:19:27Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T10:45:57.074798Z","submitted_at":"2024-06-27T11:14:14Z","title":"Dimensions underlying the representational alignment of deep neural networks with humans"},"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 4 inbound Pith citation observations for arXiv:2406.19087."}