{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IUXK5WG5VPI3UBBSCG5NEQD527","short_pith_number":"pith:IUXK5WG5","canonical_record":{"source":{"id":"2506.15862","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-06-18T20:15:23Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"7561d1d9741145d026a185d33b572e19a8cda096385b45fc72d5fe30362aad2d","abstract_canon_sha256":"20bb164ad8e6b0f3bda467087ad8829772795d9911264884165730b2c638a32a"},"schema_version":"1.0"},"canonical_sha256":"452eaed8ddabd1ba043211bad2407dd7e45f233214c773416b9dc17901478fcc","source":{"kind":"arxiv","id":"2506.15862","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15862","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15862v1","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15862","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"pith_short_12","alias_value":"IUXK5WG5VPI3","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"pith_short_16","alias_value":"IUXK5WG5VPI3UBBS","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"pith_short_8","alias_value":"IUXK5WG5","created_at":"2026-07-05T11:24:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IUXK5WG5VPI3UBBSCG5NEQD527","target":"record","payload":{"canonical_record":{"source":{"id":"2506.15862","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-06-18T20:15:23Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"7561d1d9741145d026a185d33b572e19a8cda096385b45fc72d5fe30362aad2d","abstract_canon_sha256":"20bb164ad8e6b0f3bda467087ad8829772795d9911264884165730b2c638a32a"},"schema_version":"1.0"},"canonical_sha256":"452eaed8ddabd1ba043211bad2407dd7e45f233214c773416b9dc17901478fcc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:25.252862Z","signature_b64":"OizrkPJuinpgYjc3U7u55Mr73X0zGvr33OndG/Jy1MCGijuPvkwhMLmxHZxJrZEOV5GqY/u8Mg+bFejcclxaBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"452eaed8ddabd1ba043211bad2407dd7e45f233214c773416b9dc17901478fcc","last_reissued_at":"2026-07-05T11:24:25.252360Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:25.252360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.15862","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":"2026-07-05T11:24:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t9teLJYmO73xfT4dcxmtnTaF2YJRNnPIu2oiNzmzOO+OTCu/aq4+A+vxc7r23QqBMRYTc3xpKuJu7Ickk4UgCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:17:10.964402Z"},"content_sha256":"5f905c76168c35df8b248f282055b561670bbb76258fc8bcac5f06fa4dcec44e","schema_version":"1.0","event_id":"sha256:5f905c76168c35df8b248f282055b561670bbb76258fc8bcac5f06fa4dcec44e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IUXK5WG5VPI3UBBSCG5NEQD527","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Fengyu Cai, Fernando Diaz, Jushaan Singh Kalra, To Eun Kim, Tongshuang Wu, Xinran Zhao","submitted_at":"2025-06-18T20:15:23Z","abstract_excerpt":"Retrieval-augmented Generation (RAG) is powerful, but its effectiveness hinges on which retrievers we use and how. Different retrievers offer distinct, often complementary signals: BM25 captures lexical matches; dense retrievers, semantic similarity. Yet in practice, we typically fix a single retriever based on heuristics, which fails to generalize across diverse information needs. Can we dynamically select and integrate multiple retrievers for each individual query, without the need for manual selection? In our work, we validate this intuition with quantitative analysis and introduce mixture "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15862","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/2506.15862/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":"2026-07-05T11:24:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mwbI6+fgUi4vAaNcKUE8W/GYg2CdrlMAbayY9ljwooKZD8/S71+sg9v4YHQIvdvZ7m/kJGNJ2lUvO+Sn0riIDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:17:10.964951Z"},"content_sha256":"3606ae6b61e98f8faa16206433e0fee403aa5759059a12ad787f63ae777a88c4","schema_version":"1.0","event_id":"sha256:3606ae6b61e98f8faa16206433e0fee403aa5759059a12ad787f63ae777a88c4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IUXK5WG5VPI3UBBSCG5NEQD527/bundle.json","state_url":"https://pith.science/pith/IUXK5WG5VPI3UBBSCG5NEQD527/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IUXK5WG5VPI3UBBSCG5NEQD527/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":"2026-08-04T07:17:10Z","links":{"resolver":"https://pith.science/pith/IUXK5WG5VPI3UBBSCG5NEQD527","bundle":"https://pith.science/pith/IUXK5WG5VPI3UBBSCG5NEQD527/bundle.json","state":"https://pith.science/pith/IUXK5WG5VPI3UBBSCG5NEQD527/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IUXK5WG5VPI3UBBSCG5NEQD527/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IUXK5WG5VPI3UBBSCG5NEQD527","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"20bb164ad8e6b0f3bda467087ad8829772795d9911264884165730b2c638a32a","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-06-18T20:15:23Z","title_canon_sha256":"7561d1d9741145d026a185d33b572e19a8cda096385b45fc72d5fe30362aad2d"},"schema_version":"1.0","source":{"id":"2506.15862","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15862","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15862v1","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15862","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"pith_short_12","alias_value":"IUXK5WG5VPI3","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"pith_short_16","alias_value":"IUXK5WG5VPI3UBBS","created_at":"2026-07-05T11:24:25Z"},{"alias_kind":"pith_short_8","alias_value":"IUXK5WG5","created_at":"2026-07-05T11:24:25Z"}],"graph_snapshots":[{"event_id":"sha256:3606ae6b61e98f8faa16206433e0fee403aa5759059a12ad787f63ae777a88c4","target":"graph","created_at":"2026-07-05T11:24:25Z","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/2506.15862/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval-augmented Generation (RAG) is powerful, but its effectiveness hinges on which retrievers we use and how. Different retrievers offer distinct, often complementary signals: BM25 captures lexical matches; dense retrievers, semantic similarity. Yet in practice, we typically fix a single retriever based on heuristics, which fails to generalize across diverse information needs. Can we dynamically select and integrate multiple retrievers for each individual query, without the need for manual selection? In our work, we validate this intuition with quantitative analysis and introduce mixture ","authors_text":"Fengyu Cai, Fernando Diaz, Jushaan Singh Kalra, To Eun Kim, Tongshuang Wu, Xinran Zhao","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-06-18T20:15:23Z","title":"MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15862","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":"sha256:5f905c76168c35df8b248f282055b561670bbb76258fc8bcac5f06fa4dcec44e","target":"record","created_at":"2026-07-05T11:24:25Z","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":"20bb164ad8e6b0f3bda467087ad8829772795d9911264884165730b2c638a32a","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-06-18T20:15:23Z","title_canon_sha256":"7561d1d9741145d026a185d33b572e19a8cda096385b45fc72d5fe30362aad2d"},"schema_version":"1.0","source":{"id":"2506.15862","kind":"arxiv","version":1}},"canonical_sha256":"452eaed8ddabd1ba043211bad2407dd7e45f233214c773416b9dc17901478fcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"452eaed8ddabd1ba043211bad2407dd7e45f233214c773416b9dc17901478fcc","first_computed_at":"2026-07-05T11:24:25.252360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:24:25.252360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OizrkPJuinpgYjc3U7u55Mr73X0zGvr33OndG/Jy1MCGijuPvkwhMLmxHZxJrZEOV5GqY/u8Mg+bFejcclxaBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:24:25.252862Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15862","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f905c76168c35df8b248f282055b561670bbb76258fc8bcac5f06fa4dcec44e","sha256:3606ae6b61e98f8faa16206433e0fee403aa5759059a12ad787f63ae777a88c4"],"state_sha256":"3d529bf1cc6aa875ec8f880e69e3be95dbb13c6acdbfa252a613f4cbf4809ba8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cwOZwtmzskqLazKC9G3TmqVUAe5XmjMIzBUA2KaILrhK29NoKx0IMcyBtD8IgFuMHpy2LA6LjzE8GmaaWdKEAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T07:17:10.968333Z","bundle_sha256":"f623526600b04325376c43ecf5cc5614b3d95e5a80a50fa25ab23f8c106a2e7d"}}