{"as_of":"2026-08-08T18:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8172df1a388dab6f7c88737bea579f3015f803864206543f5a8ec6e3756cff8d","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T05:55:14.709808Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2607.22082/citation-record","integrity":"/paper/2607.22082/integrity","json":"/paper/2607.22082/citation-record.json","paper":"/paper/2607.22082"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.02153","last_updated":"2025-09-15T22:15:00Z","snapshot_observed_at":"2026-08-05T18:56:11.132981Z","submitted_at":"2025-06-02T18:35:16Z","title":"Small Language Models are the Future of Agentic AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.02153","snapshot_observed_at":"2026-08-01T05:55:09.902770Z","title":"Small language models are the future of agentic ai","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:09.902770Z"},"links":{"cited_paper":"/paper/2506.02153","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:2c242c980b3cec5aa050f0b8f91656504864d5d186a11517b8976f39715d071c","observation_id":"88e69d38-a62c-4179-8fb3-8af239f00ff5","resolution":{"observed_at":"2026-08-01T05:55:09.902770Z","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":"2026-08-01T05:55:09.947198Z","title":"Complex brain networks: graph theoretical analysis of structural and functional systems.Nature Reviews Neuroscience, 10(3):186–198, 2009","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:09.947198Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:b23f82dd4c256b17ef305c73e8da9d65a3fc84a94f30c541d0b17ff9dc243560","observation_id":"28e0d403-b86f-450d-aa7c-e460976ab45e","resolution":{"observed_at":"2026-08-01T05:55:09.947198Z","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":"2026-08-01T05:55:10.040039Z","title":"The direct consortium and the rest-meta- mdd project: towards neuroimaging biomarkers of major depressive disorder.Psychoradiology, 2(1):32–42, 03 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.040039Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:1f3354146ab8c8cbf69dc60458523a0a592dc65b34232af3a628af8ba1bd9f5f","observation_id":"f25e9aae-662d-47c3-8de0-b7842d8a37f8","resolution":{"observed_at":"2026-08-01T05:55:10.040039Z","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":"2026-08-01T05:55:10.112036Z","title":"The adhd-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience.Frontiers in systems neuroscience, 6:62, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.112036Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:2713e8abf52ff897129f95d44871d4b9ae83959e7d43c71eb9cc705759a9ab1b","observation_id":"c8cd9b2d-f0a7-49d7-b41e-717934d177f4","resolution":{"observed_at":"2026-08-01T05:55:10.112036Z","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":"2026-08-01T05:55:10.187374Z","title":"Braingb: A benchmark for brain network analysis with graph neural networks.IEEE Transactions on Medical Imaging, 42(2):493–506, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.187374Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:ba4512f8ea4b6c5859f914370baa6dce7426f9c731545090a812b7858bee6e79","observation_id":"3d9ebd55-f5aa-4e11-ac27-608263c4e595","resolution":{"observed_at":"2026-08-01T05:55:10.187374Z","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":"2026-08-01T05:55:10.267368Z","title":"Interpretable graph neural networks for connectome-based brain disorder analysis","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.267368Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:2106dbe9b370f5661ade8fbc1ebdcaebb5dcaccedf669189adf79db0a2338298","observation_id":"1fb7abbc-ef4e-411a-8c48-e93e8005fc56","resolution":{"observed_at":"2026-08-01T05:55:10.267368Z","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":"2026-08-01T05:55:10.326430Z","title":"Deepseek-v3.2: Pushing the frontier of open large language models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.326430Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:1b0bb08251dadc3ac9fb9219c6d58848c2af3e9b3aac2bbf467dc0bb46889dae","observation_id":"98c218e2-6522-4802-9495-eff85b935c0c","resolution":{"observed_at":"2026-08-01T05:55:10.326430Z","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":"2026-08-01T05:55:10.394379Z","title":"The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatry, 19(6):659–667, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.394379Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:e4e377c3ebd14c93a966f86159b8e9fd508b8249e655a3e4b7fc3ca272d15021","observation_id":"a09a7268-8ea0-4088-b91e-2c73a6801197","resolution":{"observed_at":"2026-08-01T05:55:10.394379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09025","last_updated":"2025-04-02T14:33:38Z","snapshot_observed_at":"2026-08-07T22:45:01.229876Z","submitted_at":"2024-07-12T06:34:21Z","title":"SpreadsheetLLM: Encoding Spreadsheets for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.09025","snapshot_observed_at":"2026-08-01T05:55:10.429818Z","title":"Spreadsheetllm: Encoding spreadsheets for large language models.arXiv preprint arXiv:2407.09025, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.429818Z"},"links":{"cited_paper":"/paper/2407.09025","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:aa947cd5a965789c635ea62c5ba4deca97a75673d540a8a15d7f113e68afe505","observation_id":"dc1f3de3-c634-47d1-a0f7-49c3e9e5e2f4","resolution":{"observed_at":"2026-08-01T05:55:10.429818Z","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":"2026-08-01T05:55:10.475859Z","title":"Bleg: Llm functions as powerful fmri graph-enhancer for brain network analysis, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.475859Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:e77db165f0b5e6a853fb8c7e2908f343b37c7fc5289afc98325c78e427ecc01f","observation_id":"e9fb9fd4-c282-42fb-8747-4a6c3328346d","resolution":{"observed_at":"2026-08-01T05:55:10.475859Z","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":"2026-08-01T05:55:10.546323Z","title":"M3d-bfs: a multi-stage dynamic fusion strategy for sample-adaptive multi-modal brain network analysis, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.546323Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:2daaad20cccbaad96d9edfcbe30fae1419ac985fe3b71a9132812adc1ca9f5b0","observation_id":"9f8de688-6631-4078-b40c-3c9465becf24","resolution":{"observed_at":"2026-08-01T05:55:10.546323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10781","last_updated":"2025-03-02T14:37:53Z","snapshot_observed_at":"2026-08-02T20:46:05.666977Z","submitted_at":"2024-10-14T17:50:28Z","title":"When Attention Sink Emerges in Language Models: An Empirical View","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10781","snapshot_observed_at":"2026-08-01T05:55:10.615286Z","title":"When attention sink emerges in language models: An empirical view.arXiv preprint arXiv:2410.10781, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.615286Z"},"links":{"cited_paper":"/paper/2410.10781","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:1560249c5cb128f12d2911e925c87b5356c0a6cfb02dbdae419879a1c49152a3","observation_id":"6acf1d96-01b3-4797-ad7e-b86ef1ef45db","resolution":{"observed_at":"2026-08-01T05:55:10.615286Z","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":"2026-08-01T05:55:10.670351Z","title":"Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare, 3(1):1–23, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.670351Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:fb7b275e2439f4aa5dcb6cee064ad4daee83ee550837611ba5c56046273b4e63","observation_id":"cff90265-c033-426e-8b17-bb081f93bf41","resolution":{"observed_at":"2026-08-01T05:55:10.670351Z","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":"2026-08-01T05:55:10.728854Z","title":"Inductive representation learning on large graphs","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.728854Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:9f5a21faa69ab06484d0a2bc5171cfd1a3475634c33cf7d4dc421c7f77111d88","observation_id":"7e84dccb-286e-41ee-b33e-59bb1e919ded","resolution":{"observed_at":"2026-08-01T05:55:10.728854Z","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":"2026-08-01T05:55:10.803994Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.803994Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:af226c737cde2fd8ec9d58180cfd846c1c0e7faf10041bb221bdc9d7d1f5573d","observation_id":"ba96125c-430d-46bb-81d8-5b77c10fcc66","resolution":{"observed_at":"2026-08-01T05:55:10.803994Z","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":"2026-08-01T05:55:10.878087Z","title":"G-retriever: Retrieval-augmented generation for textual graph understanding and question answering.Advances in Neural Information Processing Systems, 37:132876–132907, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.878087Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:2fa2ee95cf1bb273066317469361df48d15cb4f91ecc11e50f4096246ccb9a43","observation_id":"a3bdd977-f734-4120-a135-ef9531ed1da9","resolution":{"observed_at":"2026-08-01T05:55:10.878087Z","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":"2026-08-01T05:55:10.960563Z","title":"Graphmae: Self-supervised masked graph autoencoders","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:10.960563Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:b0e1af78469ce01340e58842b3de3832167068cd8ae40b2e87b95b14a9702e79","observation_id":"b5bc5c53-6841-49f6-a378-bab4c5718bca","resolution":{"observed_at":"2026-08-01T05:55:10.960563Z","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":"2026-08-01T05:55:11.009757Z","title":"Brainnpt: Pre-training trans- former networks for brain network classification.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.009757Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:24b19babc560be1d34c0d8269fdcd005e3a7a628926287cd24b0405dc4c8b1fc","observation_id":"b69f4b57-4b47-4e34-97b2-b1782ed207fc","resolution":{"observed_at":"2026-08-01T05:55:11.009757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10237","last_updated":"2024-09-01T16:39:31Z","snapshot_observed_at":"2026-08-07T06:50:58.775402Z","submitted_at":"2024-04-16T02:35:17Z","title":"Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10237","snapshot_observed_at":"2026-08-01T05:55:11.062584Z","title":"Med-moe: Mixture of domain-specific experts for lightweight medical vision-language models.arXiv preprint arXiv:2404.10237, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.062584Z"},"links":{"cited_paper":"/paper/2404.10237","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:3c90b9ebc86c089f67c954bae053fbbf7bef902d4a1bec9c31be6e8c74125ff4","observation_id":"99ca3d0f-3773-49e8-88e1-ff4c1cf145b0","resolution":{"observed_at":"2026-08-01T05:55:11.062584Z","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":"2026-08-01T05:55:11.138870Z","title":"Ragraph: A general retrieval-augmented graph learning framework","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.138870Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:5f733c11511ecb8813b9cc6b09fa97df7f31fa2bbd87a25486def0ae0647b279","observation_id":"1017e3ca-a670-4b9f-a8c7-606f25231f92","resolution":{"observed_at":"2026-08-01T05:55:11.138870Z","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":"2026-08-01T05:55:11.220596Z","title":"Kipf and Max Welling","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.220596Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:5dc660b360b3f5e6bf41967011f0e506125881563f9a69059a33bb285fe21cab","observation_id":"07499272-2e57-4647-aa50-7d880d8ea2fe","resolution":{"observed_at":"2026-08-01T05:55:11.220596Z","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":"2026-08-01T05:55:11.307035Z","title":"Multi-connectivity representation learning network for major depressive disorder diagnosis.IEEE Transactions on Medical Imaging, 42(10):3012–3024, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.307035Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:77e430430bf5ec79116997f20063e8727cc4f3df880a47c9bf41f46f234f46af","observation_id":"d1e609b7-755a-4f84-96b2-228d2c429814","resolution":{"observed_at":"2026-08-01T05:55:11.307035Z","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":"2026-08-01T05:55:11.384213Z","title":"Biobert: a pre-trained biomedical language representation model for biomedical text mining.Bioinformatics, 36(4):1234–1240, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.384213Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:b0183de11e32774a5d7e0998c1a0d0966a1f0122a7e024d4a2140e1d9b42e229","observation_id":"666e3618-7b4b-4852-9890-b668da7357bf","resolution":{"observed_at":"2026-08-01T05:55:11.384213Z","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":"2026-08-01T05:55:11.469986Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.469986Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:538eda3e28828861de1a50adde3b60d2342ee864e51ee4bbde65f8841c3e5917","observation_id":"fe7853b5-12ab-4fd5-98b0-3c8567b4f8bb","resolution":{"observed_at":"2026-08-01T05:55:11.469986Z","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":"2026-08-01T05:55:11.531656Z","title":"Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36:28541–28564, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.531656Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:29f7ef0841076f152292fcd62794b465fbdc157e5b7ee318e6e9f12ba0c520ab","observation_id":"385cf81e-eb86-4983-a2c6-ca378753344d","resolution":{"observed_at":"2026-08-01T05:55:11.531656Z","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":"2026-08-01T05:55:11.585691Z","title":"Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.585691Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:078bb913b28446f4055412f0176f87e3f2e6b5e401aede8ab767aa5c0247d06c","observation_id":"2e1fd01b-18ac-4e17-bc32-79b5b5b5b575","resolution":{"observed_at":"2026-08-01T05:55:11.585691Z","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":"2026-08-01T05:55:11.667216Z","title":"Neurobridge: Bridging functional and structural brain networks via neural coupling and consistency-guided dynamic graph learning.Medical Image Analysis, 110:103993, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.667216Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:baebf4f1add530256a8c28e8998644dbaac01724a4e9c5fb4440858008abf393","observation_id":"b9fa3fd4-9fa6-4dfb-863f-9ca6f4f63b51","resolution":{"observed_at":"2026-08-01T05:55:11.667216Z","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":"2026-08-01T05:55:11.751804Z","title":"Neurofield-agl: Neurofield-attentive graph learning on functional connectivity for mental disorder diagnosis","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.751804Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:16973a9bc8b009dbc0cc1aff9b77954862f9df890f17233ee134ef69bf676d3a","observation_id":"a03225fc-924d-4aac-84ba-dcbfdcde97b9","resolution":{"observed_at":"2026-08-01T05:55:11.751804Z","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":"2026-08-01T05:55:11.842448Z","title":"Medchain: Bridging the gap between LLM agents and clinical practice with interactive sequence","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.842448Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:285867ae0281c08d9f6f4537f3044aa4d9d6a20e6176a12ba41e45477e200efc","observation_id":"9c5f4afb-689d-4f34-8042-25fc1da93188","resolution":{"observed_at":"2026-08-01T05:55:11.842448Z","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":"2026-08-01T05:55:11.904074Z","title":"Sherlock: Towards dynamic knowledge adaptation in llm-enhanced e-commerce risk management, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.904074Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:f9c0c852f044fc77c53091ef7935a22f65374cde370d7119b973e44a3472e378","observation_id":"fa8fafa8-64c7-4885-8d3e-5490e31b2b7f","resolution":{"observed_at":"2026-08-01T05:55:11.904074Z","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":"2026-08-01T05:55:11.980407Z","title":"Biogpt: generative pre-trained transformer for biomedical text generation and mining.Briefings in bioinformatics, 23(6):bbac409, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:11.980407Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:453de46711d0965dfbdb49f0fbfaf328349f5e3a279c4317f04921a0f8dcd96b","observation_id":"27836c47-1846-4a27-a9dd-64f049619f7f","resolution":{"observed_at":"2026-08-01T05:55:11.980407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.00213","last_updated":"2024-04-02T20:09:45Z","snapshot_observed_at":"2026-07-06T17:53:19.196215Z","submitted_at":"2024-03-30T01:56:07Z","title":"Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.00213","snapshot_observed_at":"2026-08-01T05:55:12.050650Z","title":"Inject- ing new knowledge into large language models via supervised fine-tuning.arXiv preprint arXiv:2404.00213, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.050650Z"},"links":{"cited_paper":"/paper/2404.00213","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:bfe33430d48d75d3d20abdfe9231e686ee9d2047db574d2231760471898f16b7","observation_id":"fa1f8897-d773-4807-88d6-74aaa5dab2c0","resolution":{"observed_at":"2026-08-01T05:55:12.050650Z","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":"2026-08-01T05:55:12.120322Z","title":"Mmgpl: Multimodal medical data analysis with graph prompt learning.Medical Image Analysis, 97:103225, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.120322Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:83f9c64bd32f63b60b5bb0faca6fff05d78ec67ca025231c6ecf158eb51be852","observation_id":"d9fb46e6-2916-4715-883b-9e2f704f58e7","resolution":{"observed_at":"2026-08-01T05:55:12.120322Z","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":"2026-08-01T05:55:12.211342Z","title":"Qwen3.5: Towards native multimodal agents, February 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.211342Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:18e8786709f44781c0e4c225e0a61345816f9e102e5dad45d4d0e440f583a17c","observation_id":"665b22d0-9c54-46c1-b342-9bc07bd5cca7","resolution":{"observed_at":"2026-08-01T05:55:12.211342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18416","last_updated":"2024-05-01T17:12:10Z","snapshot_observed_at":"2026-07-06T18:06:49.190172Z","submitted_at":"2024-04-29T04:11:28Z","title":"Capabilities of Gemini Models in Medicine","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18416","snapshot_observed_at":"2026-08-01T05:55:12.264722Z","title":"Capabilities of gemini models in medicine.arXiv preprint arXiv:2404.18416, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.264722Z"},"links":{"cited_paper":"/paper/2404.18416","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:cd4bf244a994487c017cc6c01dab976eb2755c5200114b19529ea8def769f5bc","observation_id":"40540b0e-e05a-453f-969b-22f892731f9a","resolution":{"observed_at":"2026-08-01T05:55:12.264722Z","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":"2026-08-01T05:55:12.344889Z","title":"Toolformer: Language models can teach themselves to use tools","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.344889Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:e0ad52fb8d9408a0f2c560ae5d4f575e5f3c797586a5fcc3a3b2df5dcbe8ad0b","observation_id":"c1d03a7b-5249-4010-ac0e-dae33ee64133","resolution":{"observed_at":"2026-08-01T05:55:12.344889Z","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":"2026-08-01T05:55:12.429542Z","title":"Reflexion: language agents with verbal reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.429542Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:5b7050027f15d80b719fdc416a2d6df225dac0ae4999c36805975e157501808a","observation_id":"30c07d07-a7ec-4660-999f-5aeda8183965","resolution":{"observed_at":"2026-08-01T05:55:12.429542Z","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":"2026-08-01T05:55:12.513815Z","title":"Rest: a toolkit for resting-state functional magnetic resonance imaging data processing.PloS one, 6(9):e25031, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.513815Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:3693ae7cb9caf2daf10ba28b3764893bb8955da18f778b4e85490cf723b81d2d","observation_id":"fde357ef-4870-4677-8813-621dc5892fc3","resolution":{"observed_at":"2026-08-01T05:55:12.513815Z","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":"2026-08-01T05:55:12.584573Z","title":"Graphgpt: Graph instruction tuning for large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.584573Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:0eb02eaba9ac73513d307fd95573529268f8329ccdf010170a0c23baf66ecfdb","observation_id":"d202a105-9940-4728-a353-07d6a41fa4ec","resolution":{"observed_at":"2026-08-01T05:55:12.584573Z","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":"2026-08-01T05:55:12.655634Z","title":"Constructing high-order functional connectivity networks with temporal information from fmri data.IEEE Transactions on Medical Imaging, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.655634Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:5d7ccb200afed197fcb29a074ad29e64747ea96d939f41b68bc35661d28066b0","observation_id":"74ddde16-a01e-47ac-9c39-d1644d558bca","resolution":{"observed_at":"2026-08-01T05:55:12.655634Z","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":"2026-08-01T05:55:12.746462Z","title":"The wu-minn human connectome project: an overview.Neuroimage, 80:62–79, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.746462Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:1ca7b98c7c055da8c72a9ab2cb9d5d63ee2e6e8f211fdc7b2473c3d435166a80","observation_id":"e6aead26-e537-495e-a4ca-3664da259f3e","resolution":{"observed_at":"2026-08-01T05:55:12.746462Z","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":"2026-08-01T05:55:12.830094Z","title":"Graph attention networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.830094Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:b2444c3d3d6bb1a22b08fb0f5386271d87b2f2fe87b79105634c54048269d8c6","observation_id":"7c174161-a452-43ed-bf14-df0bf9638488","resolution":{"observed_at":"2026-08-01T05:55:12.830094Z","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":"2026-08-01T05:55:12.916127Z","title":"Rag4gfm: Bridging knowledge gaps in graph foundation models through graph retrieval augmented generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.916127Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:3f4fc4f5070531e44e7c1b7631570cc99913eea300b8e7d19760c98ba8f14327","observation_id":"1b07166c-f181-4e4b-aec5-df5d8955a911","resolution":{"observed_at":"2026-08-01T05:55:12.916127Z","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":"2026-08-01T05:55:12.972960Z","title":"Chi, Quoc V","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:12.972960Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:5e27d986215982eaac4298b5594eab47a4cbe1ae871e46dfa2ec91e126a3a5d3","observation_id":"435aecb9-c7b2-4a4e-a7c2-93785691bf52","resolution":{"observed_at":"2026-08-01T05:55:12.972960Z","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":"2026-08-01T05:55:13.054725Z","title":"A brain graph foundation model: Pre-training and prompt-tuning across broad atlases and disorders","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.054725Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:a710cf1abe4de4907e66798b21bfd7de7bdc623609b6ebb513022c2e4b0458a4","observation_id":"48704549-e88a-49f6-8826-8f15f12ee5a4","resolution":{"observed_at":"2026-08-01T05:55:13.054725Z","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":"2026-08-01T05:55:13.145364Z","title":"Bloomberggpt: A large language model for finance, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.145364Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:c83cbab95a0d9cb2a72f57fe3f5cbc4629e0a78b3a30d1847b5e0ae9a352618b","observation_id":"68ca99bd-a81f-4cb1-be3d-9ee22b6148bc","resolution":{"observed_at":"2026-08-01T05:55:13.145364Z","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":"2026-08-01T05:55:13.228500Z","title":"Contrastive graph pooling for explainable classification of brain networks.IEEE Transactions on Medical Imaging, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.228500Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:b56c50870fc136a803a5cc66c2c383ae29288b7465665424ba7514076ba631b7","observation_id":"44516e54-99ae-4768-861b-9f60ca6b32fd","resolution":{"observed_at":"2026-08-01T05:55:13.228500Z","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":"2026-08-01T05:55:13.309839Z","title":"BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.309839Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:e80e2e5d1404f3d15105fc19745140fed7346f3d9ad0a48d261b4c16099685bb","observation_id":"5ee779ce-b236-4405-a851-0b91ec58b25d","resolution":{"observed_at":"2026-08-01T05:55:13.309839Z","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":"2026-08-01T05:55:13.392740Z","title":"Qwen3 technical report, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.392740Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:17a1932977bf3e8ac2f58c12b56e0b8295287658773ce64d2f241f6f997a2eff","observation_id":"ed65a90e-e689-4f11-90c4-e0d7585e3ce3","resolution":{"observed_at":"2026-08-01T05:55:13.392740Z","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":"2026-08-01T05:55:13.511334Z","title":"Griffiths, Yuan Cao, and Karthik Narasimhan","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.511334Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:3552f1bb5c5f401e3efb4815c724c6b4551a18c04262b916dcd5deab61599b11","observation_id":"6243d1dd-d078-4045-abf5-2aadc4fdb50b","resolution":{"observed_at":"2026-08-01T05:55:13.511334Z","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":"2026-08-01T05:55:13.592393Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.592393Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:924a92585b09b57403246559c526456a633ff0eb6b8d175746e9a16dc1957d24","observation_id":"b875de40-b35f-46dc-92ad-c4b4c15da9e1","resolution":{"observed_at":"2026-08-01T05:55:13.592393Z","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":"2026-08-01T05:55:13.676058Z","title":"RH- brainFS: Regional heterogeneous multimodal brain networks fusion strategy","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.676058Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:7d57579c4882e8893b89f5278447ba827b9ef9f059d69624b4e75f4c1fb6d661","observation_id":"134102b4-ca70-4084-81b1-5dcc89f20ae7","resolution":{"observed_at":"2026-08-01T05:55:13.676058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.22879","last_updated":"2025-07-31T16:54:43Z","snapshot_observed_at":"2026-08-06T11:16:02.241906Z","submitted_at":"2025-07-30T17:55:06Z","title":"RecGPT Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.22879","snapshot_observed_at":"2026-08-01T05:55:13.735634Z","title":"Recgpt technical report.arXiv preprint arXiv:2507.22879, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.735634Z"},"links":{"cited_paper":"/paper/2507.22879","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:24c62b7ba44455328a6afc1e5eb7c13aa927a1f4964c992f2df13c8f75666241","observation_id":"24fbce6e-3601-4a53-9cc7-eb2115760de6","resolution":{"observed_at":"2026-08-01T05:55:13.735634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06512","last_updated":"2025-01-28T03:31:48Z","snapshot_observed_at":"2026-07-06T17:28:02.037844Z","submitted_at":"2024-02-09T16:18:38Z","title":"Multimodal Clinical Trial Outcome Prediction with Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06512","snapshot_observed_at":"2026-08-01T05:55:13.820640Z","title":"Understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.820640Z"},"links":{"cited_paper":"/paper/2402.06512","citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:ee7ca8b8546060a0e0443286f2b0bec1d87199aa57c62ee606d7b42cb3f16d13","observation_id":"7f095849-4061-47cc-9730-d7e7901fd32b","resolution":{"observed_at":"2026-08-01T05:55:13.820640Z","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":"2026-08-01T05:55:13.884153Z","title":"The prompt consists of basic data information and statistical results from defined analysis function calls","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.884153Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:6d0505c915713d028f23ad8c31bdb343f603f2e94bc4237eebfa730948abad56","observation_id":"fa792a9b-d1c1-464d-bde7-868660c0a3ea","resolution":{"observed_at":"2026-08-01T05:55:13.884153Z","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":"2026-08-01T05:55:13.960377Z","title":"BrainAgent is required to perform reasoning before action","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:13.960377Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:cba2798d289d38d45ca22c52811906ea6b47d80f9f84e846aae65c7d18c59997","observation_id":"407dd7d1-0d3f-4ff1-99b3-b49192bbb778","resolution":{"observed_at":"2026-08-01T05:55:13.960377Z","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":"2026-08-01T05:55:14.036652Z","title":"LLM is prompted to select corresponding function call from available function tools","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.036652Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:e3615f9f854deb217ae8ea6b0f0f054df6fc0a430caaf203817c6f480aa630d4","observation_id":"fd809fcd-f182-4b2d-a4c5-e8538c579687","resolution":{"observed_at":"2026-08-01T05:55:14.036652Z","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":"2026-08-01T05:55:14.109532Z","title":"We prompt LLM to make prediction and give corresponding reasons","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.109532Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:f882c9fac9950f9520bbcbc10ad1956d2992116b5f6134e6a83a2981ece3b4e7","observation_id":"2852e343-d04e-40ff-b6cb-66f9a611796c","resolution":{"observed_at":"2026-08-01T05:55:14.109532Z","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":"2026-08-01T05:55:14.176115Z","title":"Analysis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.176115Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:33f8ffe5c9186e107aee04873257416e4dade2fea121f433f64226694be90d2b","observation_id":"009e40ea-e22b-4674-b3ba-c35f89d3e395","resolution":{"observed_at":"2026-08-01T05:55:14.176115Z","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":"2026-08-01T05:55:14.263396Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.263396Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:3025c6d6c1ce7b5b8592391970beffddf94c55246b991df01e3a2b58cb7388ed","observation_id":"15c154eb-97d4-426b-a767-d3af113433d5","resolution":{"observed_at":"2026-08-01T05:55:14.263396Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-01T05:55:14.320976Z","title":"‘json {{","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.320976Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:d3b092eac929abc9651b4b344f88d743660fc287cd43e0bc701d3e1928ed25f5","observation_id":"068914b1-b5df-43af-bf1c-fea23772b196","resolution":{"observed_at":"2026-08-01T05:55:14.320976Z","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":"2026-08-01T05:55:14.374153Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.374153Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:97854e0c2008f55224ffb2429183837e10ea774041c41619ec02c89d8b1ced5c","observation_id":"b0fee9fe-227b-4446-b795-5bd93bfb3b2e","resolution":{"observed_at":"2026-08-01T05:55:14.374153Z","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":"2026-08-01T05:55:14.455910Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.455910Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:057f1c6634d934b3ef3f75f6042afbef9ad800297995c6515faaeee56ed8faa3","observation_id":"8e798650-01c0-4cfc-84a4-3ef42536a3a7","resolution":{"observed_at":"2026-08-01T05:55:14.455910Z","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":"2026-08-01T05:55:14.536510Z","title":"‘json {{","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.536510Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:c5bf8e4d8aebbbd9220b22be1894d8ed318a29efac057f61c1e0056eb7a05515","observation_id":"d490615f-ebaa-40b7-b21f-68156fc7fa2d","resolution":{"observed_at":"2026-08-01T05:55:14.536510Z","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":"2026-08-01T05:55:14.625259Z","title":"Attention Sink","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.625259Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:3b07fe3f3c77a5c536757dfaf440bb64cc23d81c498482b5405bd312016735ee","observation_id":"f9e76975-fc95-4770-b8d6-94856ec400cd","resolution":{"observed_at":"2026-08-01T05:55:14.625259Z","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":"2026-08-01T05:55:14.709808Z","title":"action\":","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-01T05:55:14.709808Z"},"links":{"citing_paper":"/paper/2607.22082"},"observation_digest":"sha256:805b04b345fcd9a7fe1891f8278fed6028e175d9169aceed3a4560093092395c","observation_id":"c95e0a7d-87b7-426d-b6c6-1cfc22155c12","resolution":{"observed_at":"2026-08-01T05:55:14.709808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.22082","last_updated":"2026-07-24T08:31:25Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-05T13:21:08.429880Z","submitted_at":"2026-07-24T08:31:25Z","title":"When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":65,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":66},"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 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.22082."}