{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:R5FAQUOSNZTDE2ZKH7OEKPNLT4","short_pith_number":"pith:R5FAQUOS","canonical_record":{"source":{"id":"2605.18766","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-04-12T14:53:56Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"dcd44884effd16f63fa7885c1b9794f9309b14260e76ac7483ade064ed5665ea","abstract_canon_sha256":"7ec3fdc9d67a3156dd6a3f1553db200adc72b657e36b0d3b2066ff9a05b15881"},"schema_version":"1.0"},"canonical_sha256":"8f4a0851d26e66326b2a3fdc453dab9f27c4d9e6d6a64bb5cf5a9556b018762f","source":{"kind":"arxiv","id":"2605.18766","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18766","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18766v1","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18766","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"pith_short_12","alias_value":"R5FAQUOSNZTD","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"pith_short_16","alias_value":"R5FAQUOSNZTDE2ZK","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"pith_short_8","alias_value":"R5FAQUOS","created_at":"2026-05-20T00:06:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:R5FAQUOSNZTDE2ZKH7OEKPNLT4","target":"record","payload":{"canonical_record":{"source":{"id":"2605.18766","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-04-12T14:53:56Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"dcd44884effd16f63fa7885c1b9794f9309b14260e76ac7483ade064ed5665ea","abstract_canon_sha256":"7ec3fdc9d67a3156dd6a3f1553db200adc72b657e36b0d3b2066ff9a05b15881"},"schema_version":"1.0"},"canonical_sha256":"8f4a0851d26e66326b2a3fdc453dab9f27c4d9e6d6a64bb5cf5a9556b018762f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:06:20.794722Z","signature_b64":"LEXnOH524Uw2y9RiKixATdZVvI8fH2A4Gv+BzPIbx44kalEjT/x4GAdJjIlM1rhbhm0TTvy34A11BXO4oy6eDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f4a0851d26e66326b2a3fdc453dab9f27c4d9e6d6a64bb5cf5a9556b018762f","last_reissued_at":"2026-05-20T00:06:20.793143Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:06:20.793143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.18766","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":"2026-05-20T00:06:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ycCfN9CY5c8E++Qfgf+H6sopE6iohX7Uv7vykFbcTy1Z+8twHAzVwbJZcGMPjBnG4BENeWLxV6SDK0AOTOB+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T18:37:40.157797Z"},"content_sha256":"bf1216d25a2489a853b71f27ffb488033a11ec67e8b7e249ca50cad053c5bd0c","schema_version":"1.0","event_id":"sha256:bf1216d25a2489a853b71f27ffb488033a11ec67e8b7e249ca50cad053c5bd0c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:R5FAQUOSNZTDE2ZKH7OEKPNLT4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Jaegul Choo, Jihwan Kim, Seungbin Yang, Taehee Kim","submitted_at":"2026-04-12T14:53:56Z","abstract_excerpt":"Retrieving relevant tables from extensive databases for a given natural language query is essential for accurately answering questions in tasks such as text-to-SQL. Existing table retrieval approaches select a pre-determined set of k tables with the highest similarity to the query. However, the number of required tables varies across queries and cannot be known in advance. Enforcing a fixed number of retrieved tables regardless of the query may either retrieve an undersized set, failing to obtain all necessary evidence, or retrieve an oversized pool, including irrelevant tables. To address thi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18766","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/2605.18766/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":"2026-05-20T00:06:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sffoK610fgGvmQj4QasN6QMBQWSCn1rhAzgWKbZLyTevSFsmg0R5P1mjpDIohnq36DlJE/jQi06xjMDOHQWCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T18:37:40.158517Z"},"content_sha256":"9cf678a42552d450d2f01c08fb934736c19e6a8192dce68811535e1f8530d400","schema_version":"1.0","event_id":"sha256:9cf678a42552d450d2f01c08fb934736c19e6a8192dce68811535e1f8530d400"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R5FAQUOSNZTDE2ZKH7OEKPNLT4/bundle.json","state_url":"https://pith.science/pith/R5FAQUOSNZTDE2ZKH7OEKPNLT4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R5FAQUOSNZTDE2ZKH7OEKPNLT4/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":"2026-05-29T18:37:40Z","links":{"resolver":"https://pith.science/pith/R5FAQUOSNZTDE2ZKH7OEKPNLT4","bundle":"https://pith.science/pith/R5FAQUOSNZTDE2ZKH7OEKPNLT4/bundle.json","state":"https://pith.science/pith/R5FAQUOSNZTDE2ZKH7OEKPNLT4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R5FAQUOSNZTDE2ZKH7OEKPNLT4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:R5FAQUOSNZTDE2ZKH7OEKPNLT4","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":"7ec3fdc9d67a3156dd6a3f1553db200adc72b657e36b0d3b2066ff9a05b15881","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-04-12T14:53:56Z","title_canon_sha256":"dcd44884effd16f63fa7885c1b9794f9309b14260e76ac7483ade064ed5665ea"},"schema_version":"1.0","source":{"id":"2605.18766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.18766","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"arxiv_version","alias_value":"2605.18766v1","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.18766","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"pith_short_12","alias_value":"R5FAQUOSNZTD","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"pith_short_16","alias_value":"R5FAQUOSNZTDE2ZK","created_at":"2026-05-20T00:06:20Z"},{"alias_kind":"pith_short_8","alias_value":"R5FAQUOS","created_at":"2026-05-20T00:06:20Z"}],"graph_snapshots":[{"event_id":"sha256:9cf678a42552d450d2f01c08fb934736c19e6a8192dce68811535e1f8530d400","target":"graph","created_at":"2026-05-20T00:06:20Z","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/2605.18766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieving relevant tables from extensive databases for a given natural language query is essential for accurately answering questions in tasks such as text-to-SQL. Existing table retrieval approaches select a pre-determined set of k tables with the highest similarity to the query. However, the number of required tables varies across queries and cannot be known in advance. Enforcing a fixed number of retrieved tables regardless of the query may either retrieve an undersized set, failing to obtain all necessary evidence, or retrieve an oversized pool, including irrelevant tables. To address thi","authors_text":"Jaegul Choo, Jihwan Kim, Seungbin Yang, Taehee Kim","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-04-12T14:53:56Z","title":"Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.18766","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:bf1216d25a2489a853b71f27ffb488033a11ec67e8b7e249ca50cad053c5bd0c","target":"record","created_at":"2026-05-20T00:06:20Z","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":"7ec3fdc9d67a3156dd6a3f1553db200adc72b657e36b0d3b2066ff9a05b15881","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-04-12T14:53:56Z","title_canon_sha256":"dcd44884effd16f63fa7885c1b9794f9309b14260e76ac7483ade064ed5665ea"},"schema_version":"1.0","source":{"id":"2605.18766","kind":"arxiv","version":1}},"canonical_sha256":"8f4a0851d26e66326b2a3fdc453dab9f27c4d9e6d6a64bb5cf5a9556b018762f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f4a0851d26e66326b2a3fdc453dab9f27c4d9e6d6a64bb5cf5a9556b018762f","first_computed_at":"2026-05-20T00:06:20.793143Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:06:20.793143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LEXnOH524Uw2y9RiKixATdZVvI8fH2A4Gv+BzPIbx44kalEjT/x4GAdJjIlM1rhbhm0TTvy34A11BXO4oy6eDg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:06:20.794722Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.18766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf1216d25a2489a853b71f27ffb488033a11ec67e8b7e249ca50cad053c5bd0c","sha256:9cf678a42552d450d2f01c08fb934736c19e6a8192dce68811535e1f8530d400"],"state_sha256":"451ba1eeb41ec2d4a9c8a7446b97a03388268dab219488e6af50826fe9bbb537"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nsDWR4N4i8B1ZzKBIqjASrQPEZOfNtTiXjX0fFwg3IQz+NMdDyev5QkaxFLdmHOnqxo+Bsc64tx4NpY6vHL0CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T18:37:40.161635Z","bundle_sha256":"c72916edc84b26bb2c3e3a4018870805530759009b5998a63af3b10c926c9948"}}