{"as_of":"2026-08-24T03:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:afee321042da2fb3c27e2314e500001eb6558e9080e026836f85f4566445e52c","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T17:37:16.384827Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2606.21535/citation-record","integrity":"/paper/2606.21535/integrity","json":"/paper/2606.21535/citation-record.json","paper":"/paper/2606.21535"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T17:37:16.384827Z","title":"Graph-based vector search: An experimental evaluation of the state-of-the-art.Proceedings of the ACM on Management of Data, 3(1):1–31, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:0334c60434fbcf71f999318cc15975e0e9a2e8362a1a0cb69d5b64029f2d9773","observation_id":"432fcbb0-bdce-47fb-8ecb-3320e7c45912","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17424","last_updated":"2024-09-25T23:24:56Z","snapshot_observed_at":"2026-08-20T09:52:01.584394Z","submitted_at":"2024-09-25T23:24:56Z","title":"Results of the Big ANN: NeurIPS'23 competition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17424","snapshot_observed_at":"2026-07-14T17:37:16.384827Z","title":"Results of the big ann: Neurips’23 competition.arXiv preprint arXiv:2409.17424, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"cited_paper":"/paper/2409.17424","citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:ca4056af06fac8e12cb4acc5ff34386e79ce693a24cb869a6ec9c0dd78026eb1","observation_id":"ce6e77f2-533b-4a99-991f-db360e284abf","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Steck, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:34c7185c3e59a50be5100fc1969561e916539fe39045ae50c145c9f710d9562b","observation_id":"147706b9-cb9e-4847-8b8c-ce6c7002301b","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Kuffo, I","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:8b02f0de0dae78d30aeb8d4a52a878c28622b16caa4b6b674ef7bdfface0dd78","observation_id":"51fb67ad-1454-4158-a9b5-b85418ccd593","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04369","last_updated":"2024-05-31T23:30:52Z","snapshot_observed_at":"2026-08-19T16:23:14.946791Z","submitted_at":"2024-05-31T23:30:52Z","title":"RAG Does Not Work for Enterprises","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04369","snapshot_observed_at":"2026-07-14T17:37:16.384827Z","title":"Bruckhaus","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"cited_paper":"/paper/2406.04369","citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:815792905ba0f21249f88846b992064c27c10d6231bcbfa01074e67dd3bbd35c","observation_id":"748db272-eb10-4cfa-87c8-4cc8346d2d4d","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Rag problems persist","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:e4759a42b381ed7d65ea0df8d2cc0f36c982649e6b385e0709fd2967f4104fae","observation_id":"e61b5222-4cbf-40a0-8021-c4d2df478f8a","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"The role of local dimensionality measures in benchmarking nearest neighbor search.Information Systems, 101:101807, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:3a0af58c712d34fb53cf3df4da34b31ef162f48226e19223bf695686c735629a","observation_id":"653e6fc5-28db-43a8-b999-bc94ed2ea594","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Moriondo","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:e3ffe48d1e03ab345d791e30a4277e6320b972a7ecfddeabefeb2f43547b4412","observation_id":"65fdcfaf-7edd-4830-9715-1bdec829e0cd","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Moriondo","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:8ea3c860e5b10182ffbfe436a7948ee8461474e13095adf61a09cf3e57854c95","observation_id":"c14f7d40-79b2-42f0-9671-28c38560fa64","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:28dc999c31c2cc1fb4e7e740141070332bc6db28881108bc4f3ce752e50b7bca","observation_id":"5a83a4b4-8caf-4b27-b73d-562ae581308b","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:6cf2bd6c933bf63a04c60d30753e81881758c2449fab9bc2927c8bd5c67d6a36","observation_id":"b62eba5b-0335-418c-8226-4bc6a9fe65b0","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Sandryhaila and J","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:61dc76d5a88b9bd5cb416263a8a86eb1b45fff598b33cea7bced855712f3083f","observation_id":"72ea64ba-9bec-4680-a815-7da4333cab36","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Finzi, A","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:2bcf10d826765213d90e5141c36acfcbc70b793be94f75c51198421cfbf857c5","observation_id":"b254ea54-c013-47ff-8f46-abd653c520d8","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"PyArrowSpace","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:0e6acec66fe9ea74f629b4c24f11d2dd69184828597434cc9e7aa68f9e832628","observation_id":"ede89f6a-446f-4198-b5bb-161e934e27af","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:8fafae0cb734ba921a735340251ab97f07a762595591b76c5739b64f95c8ce41","observation_id":"d557b1e6-df8a-48ff-88da-dc4f861a1a0c","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:47629ccf662d5ab88bbc9c58f3eba90203a6697b4a93642dd64b94fbda34ac40","observation_id":"5caed8c5-2d51-43f3-aa1b-24211ef8136f","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:245bed1d844e4a68095f162655a0797b5a2bcc27282ef8e099cae49618e9229a","observation_id":"6a2d09bf-b83a-47fa-98c4-c15976d06972","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"von Luxburg","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:ea84b5120bba660e064ca86666a4ec81c408374c814d008747274c8e188b9154","observation_id":"88e10e22-6ed5-419c-b777-d88afad17fd6","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Johnson and Joram Lindenstrauss","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:f77d95758dfe9946e59c339821c9ba04c1c4f570f29a5ac230b4e63b0666cfd8","observation_id":"6612d030-76f2-4450-bb52-bf7b44c4f563","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Macmillan and Co., 1877","venue":null,"work_id":null,"year":1945},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:a39a680a8dd5c27849236d3ea9616668ffab9d66e35d22dedca072ec32cde64c","observation_id":"f7f2af2e-b42c-4e3a-bf6d-e21cf4c94bda","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Evans.Partial Differential Equations, volume 19 ofGraduate Studies in Mathematics","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:9654b385e1837b2ab5f34f9be00434a7c85a233f06a4139605cb7e9f3210871a","observation_id":"fe0acac1-bb94-4e2e-8f94-e753ef7ec2f9","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:d624af2ee57d4c9997988b02cd9ad1ac48f12ac2515e724fdc7d97838d0b9de6","observation_id":"1c912686-1b3f-4d2b-87bf-b8f1e76b8f1e","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"PhD thesis, University of York, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:d75cb3e2f164126f47106b0b063212a7c1d0d530bad656e5c7d52cc7bae2f49c","observation_id":"fffb26ea-e072-4f07-b356-e4a4406b4753","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Cve™: Common vulnerabilities and exposures dataset","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:f51d1b736d43c298136bd83ad82be75737a87a76aa7c28b2025e5ca1330311d8","observation_id":"d6e11f64-bfe2-48f5-98e1-2c768587bc72","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"V oorhees, William Hersh, Max Crammer, and Nancy Ide","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:964ab0891fa525aa63a74564f53292b0a8cfb2e9c7b7d31fd05b52c45c2fc47c","observation_id":"baecea76-24cd-4dbe-8d3d-bade6e87a3a3","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Magesh, F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:fb9481dd9d410825788aec9d404067e2b47391197c4b7ba6fc693ecda5f5dd19","observation_id":"f040bade-81fa-4ab9-8398-f6caaf4ee9b0","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:5fa367341d42a3284d28b871d139b1431ac6916dd86689231fb129bdb15f9ec1","observation_id":"0aa9f23d-b97f-4a07-b922-976b1ea1cd26","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Graph wiring epiplexity","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:181d9a438653be8feb3ec8afb16cad1846c52732fe89194474982cd82106cdad","observation_id":"2da0df07-6206-4669-9502-5ef9b26c681c","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:1121d316047d4ee39f4f5f69e986530f350c1e76533d205fcb0cbc053237ed7a","observation_id":"b4ce1220-d390-4f6a-aec6-a72224fb0037","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Reimers and I","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:1ff7a2c9ffc92e524a9f67229dd6b8ddfacebd0eb01d345e136e75158f4a1d12","observation_id":"e5df0dd6-7f7e-4dc0-bb58-a97bf6155291","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Moriondo","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:ae5a0fe5b5046dd91b0738be321571284187aa802efe27306553fb6de59ca328","observation_id":"5bd9adcb-e4c0-4da5-b524-757686130d84","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"Spectral-aware unique identifiers for generative retrieval and vector search.Authorea Preprints, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:d35cf3581c7fb2eb246fe8816f68e196866f394d8c4292d4617c060663de96a7","observation_id":"c61a5697-7eb5-4968-8dde-6ce6cbc552fc","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"directory traversal","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:e9ba3007dd3e9b2b4490e31685cd0befeea9a842e0610e749e37e925fddd4413","observation_id":"62ca8ff1-ed00-424f-8e1d-9b17d0015526","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"the τ= 0.72 crossover already lies inside the spectral regime for this corpus","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:b893a19c74d612d18a1ba049f17ea1d9a83eef6591cc206c34d15ac7ee9d8e17","observation_id":"3ddc4e78-b45c-408d-8460-c49cbb93b07e","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:8dcfecfa3359af63ce4c075ac1118c55f1395b9eac6066dd6a4437e499fcdfdc","observation_id":"3c972f77-4f5a-4423-a86b-3aa715b8cc40","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"(no title)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:52dfe82324815739a8728e39654c4e305e80609c18cdf9fc8c2e5bec5383f7fd","observation_id":"9c6ccb7c-f280-43be-bf02-569bac0f830f","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","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":"2026-07-14T17:37:16.384827Z","title":"race condition in temporary file creation","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-14T17:37:16.384827Z"},"links":{"citing_paper":"/paper/2606.21535"},"observation_digest":"sha256:91e4dd952a2f824537d85c11fd70d224efc2142bce2a8b518b85ceb1fcbf9920","observation_id":"a4e10049-2032-466f-b99d-9df52d44d6f2","resolution":{"observed_at":"2026-07-14T17:37:16.384827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.21535","last_updated":"2026-07-13T10:21:16Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-20T10:58:03.663662Z","submitted_at":"2026-06-19T15:33:35Z","title":"From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":37},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.21535."}