{"as_of":"2026-08-09T21:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc552881ffd2b3e19678e47b42e7287870a2b1acd64fd6026afe6a57df916bbe","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T13:24:09.087913Z","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":"2026-05-22T21:42:10.062873Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-08-08T13:24:09.087913Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.17464","last_updated":"2025-02-11T04:28:10Z","snapshot_observed_at":"2026-08-08T13:19:21.517461Z","submitted_at":"2025-02-11T04:28:10Z","title":"Large Cognition Model: Towards Pretrained EEG Foundation Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T13:24:09.087913Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2502.17464"},"observation_digest":"sha256:448be7e9346a2e15395646c72b3a0b7700f8f87adfaa0c73ec9ec244436768e2","observation_id":"1e9b9eb6-bf3d-4086-aeec-f9e5bbaee28a","resolution":{"observed_at":"2026-08-08T13:24:09.087913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":"2410.00712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Necomimi: Neural-cognitive multimodal eeg-informed image generation with diffusion models","venue":null,"work_id":"e75ec85f-30ba-4ff2-93cf-611922429849","year":2024},"citing_paper":{"arxiv_id":"2504.05336","last_updated":"2026-06-23T05:18:23Z","snapshot_observed_at":"2026-08-07T16:08:28.774765Z","submitted_at":"2025-04-05T02:52:37Z","title":"Quantum Adaptive Self-Attention for Quantum Transformer Models","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-22T21:41:08.449840Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2504.05336"},"observation_digest":"sha256:f42c5f2c89c84fb7e3e17b97cbe7e8d48596a79063f76c17920f2a52a5358254","observation_id":"a80897d0-1ae2-42b2-8f6c-6887827f8d5e","resolution":{"observed_at":"2026-05-22T21:42:10.067312Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-08-07T12:33:24.409514Z","title":"Necomimi: Neural-cognitive multimodal eeg-informed image generation with diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24301","last_updated":"2025-05-30T07:24:58Z","snapshot_observed_at":"2026-08-07T22:50:04.300602Z","submitted_at":"2025-05-30T07:24:58Z","title":"Category-aware EEG image generation based on wavelet transform and contrast semantic loss","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:33:24.409514Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2505.24301"},"observation_digest":"sha256:8fe82e690cccdef64e6130f76b233238d12cad34d115ffa334c656dafa5fe858","observation_id":"d2360b6b-8014-4089-9747-0f495713654d","resolution":{"observed_at":"2026-08-07T12:33:24.409514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-08-07T12:00:47.012104Z","title":"Necomimi: Neural-cognitive multimodal eeg-informed image generation with diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00854","last_updated":"2025-07-08T17:34:10Z","snapshot_observed_at":"2026-08-07T11:54:18.332824Z","submitted_at":"2025-06-01T06:26:32Z","title":"EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:00:47.012104Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2506.00854"},"observation_digest":"sha256:72c264160d3ea03ce560b28c01e347ac0fb330e627cf72563bd4d940c21027e1","observation_id":"14cef589-6c0b-4695-bef2-b2ba5da3a2f1","resolution":{"observed_at":"2026-08-07T12:00:47.012104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-08-07T05:56:54.834664Z","title":"Necomimi: Neural-cognitive multimodal eeg-informed image generation with diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06633","last_updated":"2025-06-28T08:08:52Z","snapshot_observed_at":"2026-08-09T00:09:01.444891Z","submitted_at":"2025-06-07T02:53:18Z","title":"Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:56:54.834664Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2506.06633"},"observation_digest":"sha256:817331ee5ef519680b47ac941589f8f8cf845d39260b970df4c5c3293c0409b5","observation_id":"6df34241-3ae3-4059-b3a6-89028c653883","resolution":{"observed_at":"2026-08-07T05:56:54.834664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-08-05T14:23:40.049290Z","title":"Necomimi: Neural-cognitive multimodal eeg- informed image generation with diffusion models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21332","last_updated":"2025-08-29T05:20:18Z","snapshot_observed_at":"2026-08-08T05:26:55.105685Z","submitted_at":"2025-08-29T05:20:18Z","title":"Quantum-Enhanced Natural Language Generation: A Multi-Model Framework with Hybrid Quantum-Classical Architectures","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T14:23:40.049290Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2508.21332"},"observation_digest":"sha256:798f50ae447aa6fee0f9c3ba5c86070ba5ab15b6e72b278274d6ded59abcd793","observation_id":"b01d7306-c903-4fde-8dfd-50a534314b73","resolution":{"observed_at":"2026-08-05T14:23:40.049290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models","version":2},"cited_work":{"arxiv_id":"2410.00712","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.00712","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Necomimi: Neural-cognitive multimodal eeg-informed image generation with diffusion models","venue":null,"work_id":"e75ec85f-30ba-4ff2-93cf-611922429849","year":2024},"citing_paper":{"arxiv_id":"2603.20738","last_updated":"2026-04-25T05:18:06Z","snapshot_observed_at":"2026-08-06T17:11:09.044631Z","submitted_at":"2026-03-21T09:53:19Z","title":"SATTC: Structure-Aware Label-Free Test-Time Calibration for Cross-Subject EEG-to-Image Retrieval","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T07:14:34.483154Z"},"links":{"cited_paper":"/paper/2410.00712","citing_paper":"/paper/2603.20738"},"observation_digest":"sha256:bffca540dcdf35be2060a356ddae30f1089f50cfbd9e82529cc4d13f518c122c","observation_id":"e0db22f8-8f9c-45d9-b9b1-5473a082c254","resolution":{"observed_at":"2026-05-15T07:15:11.587349Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.00712/citation-record","integrity":"/paper/2410.00712/integrity","json":"/paper/2410.00712/citation-record.json","paper":"/paper/2410.00712"},"outbound":[],"paper":{"arxiv_id":"2410.00712","last_updated":"2024-10-03T16:31:23Z","latest_version":2,"primary_category":"q-bio.NC","snapshot_observed_at":"2026-08-06T16:55:58.284073Z","submitted_at":"2024-10-01T14:05:30Z","title":"NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.00712."}