{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:G75K6ZDRDV7TK7RPCUEHBDFPD3","short_pith_number":"pith:G75K6ZDR","canonical_record":{"source":{"id":"2606.19803","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-18T05:16:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c9ee0d7dcf659375c785a454dfc788c7631a069bb5d48f53e1a0d7ca0f3b39fc","abstract_canon_sha256":"80843f212c60e3e260d326aed4f3c0f728301c9443dca6a34e0a43575200ef98"},"schema_version":"1.0"},"canonical_sha256":"37faaf64711d7f357e2f1508708caf1ef79cbcafd2d7fd8b6013081835c16309","source":{"kind":"arxiv","id":"2606.19803","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19803","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19803v1","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19803","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_12","alias_value":"G75K6ZDRDV7T","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_16","alias_value":"G75K6ZDRDV7TK7RP","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_8","alias_value":"G75K6ZDR","created_at":"2026-06-19T16:12:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:G75K6ZDRDV7TK7RPCUEHBDFPD3","target":"record","payload":{"canonical_record":{"source":{"id":"2606.19803","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-18T05:16:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c9ee0d7dcf659375c785a454dfc788c7631a069bb5d48f53e1a0d7ca0f3b39fc","abstract_canon_sha256":"80843f212c60e3e260d326aed4f3c0f728301c9443dca6a34e0a43575200ef98"},"schema_version":"1.0"},"canonical_sha256":"37faaf64711d7f357e2f1508708caf1ef79cbcafd2d7fd8b6013081835c16309","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:35.687834Z","signature_b64":"+P43XKd3rlND66WKodGuzOP5UIKtPFw40f8WIUjEyTruGzwxhsNnP60YEwkiWgpyOXeMTLaVVASZP3QApDOaCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37faaf64711d7f357e2f1508708caf1ef79cbcafd2d7fd8b6013081835c16309","last_reissued_at":"2026-06-19T16:12:35.687437Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:35.687437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.19803","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-19T16:12:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DZh4pakmiYrdwu/2Py7y6V9NYBxjJv0zNlqYB8u0SKUMFv5kcgz/Jcu9TNdr1FiBkl2vhDjRuMrqm1DAwP2DBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T17:26:17.133432Z"},"content_sha256":"2898de1bfa8d42d49127313a03b51ee8e67d06d5e09206462f2da5de9a22fbc0","schema_version":"1.0","event_id":"sha256:2898de1bfa8d42d49127313a03b51ee8e67d06d5e09206462f2da5de9a22fbc0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:G75K6ZDRDV7TK7RPCUEHBDFPD3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Policy-aware Vector Search: A Vision for Fine Grained Access Control in Vector Databases","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.DB","authors_text":"Lakshmi Sahithi Yalamarthi, Primal Pappachan","submitted_at":"2026-06-18T05:16:05Z","abstract_excerpt":"Vector databases are increasingly used in security sensitive contexts with Retrieval Augmented Generation and organizational AI pipelines; however, their security capabilities remain limited. Specifically, Fine-grained Access Control (FGAC) which is required to ensure that data access adheres to user-specific policies is not fully supported in modern vector databases. Unlike relational databases, vector databases combine structured and unstructured attributes to provide semantic, approximate query results, which complicates FGAC implementation. This creates an inherent tension between enforcin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19803","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.19803/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-19T16:12:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qyVQ7JbQgmB02wZ36mE1zf0v7NA17p3L/xkeOGR9lP5kR6ereyaXZNnwLefhwlS7vtjkbPlCatUo9EFnBLHiDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T17:26:17.133803Z"},"content_sha256":"5626637fcba201e3396736d582ee4d9158fdeb532ec5c16e331b988665ede9d5","schema_version":"1.0","event_id":"sha256:5626637fcba201e3396736d582ee4d9158fdeb532ec5c16e331b988665ede9d5"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:G75K6ZDRDV7TK7RPCUEHBDFPD3","target":"integrity","payload":{"note":"Identifier '10.1145/3543507.3583552(2023' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Siddharth Gollapudi, Neel Karia, Varun Sivashankar, Ravishankar Krishnaswamy, Nikit Begwani, Swapnil Raz, Yiyong Lin, Yin Zhang, Neelam Mahapatro, Premku- mar Srinivasan, Amit Singh, and Harsha Vardhan Simhadri. 2023. Filtered- DiskANN: Gra","arxiv_id":"2606.19803","detector":"doi_compliance","evidence":{"doi":"10.1145/3543507.3583552(2023","arxiv_id":null,"ref_index":4,"raw_excerpt":"Siddharth Gollapudi, Neel Karia, Varun Sivashankar, Ravishankar Krishnaswamy, Nikit Begwani, Swapnil Raz, Yiyong Lin, Yin Zhang, Neelam Mahapatro, Premku- mar Srinivasan, Amit Singh, and Harsha Vardhan Simhadri. 2023. Filtered- DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters.10.1145/3543507.3583552(2023), 3406–3416. https://doi.org/10.1145/ 3543507.3583552","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":4,"audited_at":"2026-07-09T21:20:11.834487Z","event_type":"pith.integrity.v1","detected_doi":"10.1145/3543507.3583552(2023","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"15a552bbaeac580e89423aa82f4f7e4d9cc9cdb780d04e196e2e5651a1f5c08a","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":10834,"payload_sha256":"e3cadf7c35942b7c0b8cd26ccfeb153ffd8c0f2cfaac4a76ca88727d175317d7","signature_b64":"Jd0+f0K4FG8kDrxBuqfsl2RlO3+pucojZFF7JXmGYpTSkGkPItWvZCxCi0yhH0QMc3iTN/wWTFpCwTf7ZEK3BQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-09T21:23:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hbpqk8SQJmxBvOgAeC8okCJw92t8JymBmp8x2TqlH4ZDDhy0P+v257k3EJuW2FK1VUj2Gq8E5CAhRKfvnHrIBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T17:26:17.134827Z"},"content_sha256":"8ae3f09fec086a4591fd4a71d938e5a1a55799986cb3f813e5f7f1e2ba9c01e4","schema_version":"1.0","event_id":"sha256:8ae3f09fec086a4591fd4a71d938e5a1a55799986cb3f813e5f7f1e2ba9c01e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G75K6ZDRDV7TK7RPCUEHBDFPD3/bundle.json","state_url":"https://pith.science/pith/G75K6ZDRDV7TK7RPCUEHBDFPD3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G75K6ZDRDV7TK7RPCUEHBDFPD3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-10T17:26:17Z","links":{"resolver":"https://pith.science/pith/G75K6ZDRDV7TK7RPCUEHBDFPD3","bundle":"https://pith.science/pith/G75K6ZDRDV7TK7RPCUEHBDFPD3/bundle.json","state":"https://pith.science/pith/G75K6ZDRDV7TK7RPCUEHBDFPD3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G75K6ZDRDV7TK7RPCUEHBDFPD3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:G75K6ZDRDV7TK7RPCUEHBDFPD3","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"80843f212c60e3e260d326aed4f3c0f728301c9443dca6a34e0a43575200ef98","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-18T05:16:05Z","title_canon_sha256":"c9ee0d7dcf659375c785a454dfc788c7631a069bb5d48f53e1a0d7ca0f3b39fc"},"schema_version":"1.0","source":{"id":"2606.19803","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19803","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19803v1","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19803","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_12","alias_value":"G75K6ZDRDV7T","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_16","alias_value":"G75K6ZDRDV7TK7RP","created_at":"2026-06-19T16:12:35Z"},{"alias_kind":"pith_short_8","alias_value":"G75K6ZDR","created_at":"2026-06-19T16:12:35Z"}],"graph_snapshots":[{"event_id":"sha256:5626637fcba201e3396736d582ee4d9158fdeb532ec5c16e331b988665ede9d5","target":"graph","created_at":"2026-06-19T16:12:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.19803/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vector databases are increasingly used in security sensitive contexts with Retrieval Augmented Generation and organizational AI pipelines; however, their security capabilities remain limited. Specifically, Fine-grained Access Control (FGAC) which is required to ensure that data access adheres to user-specific policies is not fully supported in modern vector databases. Unlike relational databases, vector databases combine structured and unstructured attributes to provide semantic, approximate query results, which complicates FGAC implementation. This creates an inherent tension between enforcin","authors_text":"Lakshmi Sahithi Yalamarthi, Primal Pappachan","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-18T05:16:05Z","title":"Policy-aware Vector Search: A Vision for Fine Grained Access Control in Vector Databases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19803","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2898de1bfa8d42d49127313a03b51ee8e67d06d5e09206462f2da5de9a22fbc0","target":"record","created_at":"2026-06-19T16:12:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"80843f212c60e3e260d326aed4f3c0f728301c9443dca6a34e0a43575200ef98","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-18T05:16:05Z","title_canon_sha256":"c9ee0d7dcf659375c785a454dfc788c7631a069bb5d48f53e1a0d7ca0f3b39fc"},"schema_version":"1.0","source":{"id":"2606.19803","kind":"arxiv","version":1}},"canonical_sha256":"37faaf64711d7f357e2f1508708caf1ef79cbcafd2d7fd8b6013081835c16309","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37faaf64711d7f357e2f1508708caf1ef79cbcafd2d7fd8b6013081835c16309","first_computed_at":"2026-06-19T16:12:35.687437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:35.687437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+P43XKd3rlND66WKodGuzOP5UIKtPFw40f8WIUjEyTruGzwxhsNnP60YEwkiWgpyOXeMTLaVVASZP3QApDOaCw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:35.687834Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19803","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2898de1bfa8d42d49127313a03b51ee8e67d06d5e09206462f2da5de9a22fbc0","sha256:5626637fcba201e3396736d582ee4d9158fdeb532ec5c16e331b988665ede9d5","sha256:8ae3f09fec086a4591fd4a71d938e5a1a55799986cb3f813e5f7f1e2ba9c01e4"],"state_sha256":"8b434f781a19b9c7e65dbb3a3a9415d76a20a3097ba0bdfc95ccad04a898cb4f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WoCSzvx7FVQzI3KOudwBGvmAVkegunlHy46vd6y0K4r3ZQt5vAeHi/zrvR2pv2vyX8xWEWPpdiM6UUiOajfTDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T17:26:17.137031Z","bundle_sha256":"6321a78d6c1089e90d9e877bd16523cc23fad7dba22926cc2b08d08108af3868"}}