{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QLYDKPVKLK7CMJPUC6KY7MY2WH","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":"1957e3d79d52649e41efdcb470392c1f1df973f357dc91a354379083d1631700","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2026-01-02T04:47:49Z","title_canon_sha256":"214a2d8c49893885dda200b114365eafba0ad8901c685c056885b81dce9f63d3"},"schema_version":"1.0","source":{"id":"2601.00567","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.00567","created_at":"2026-06-19T16:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"2601.00567v2","created_at":"2026-06-19T16:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.00567","created_at":"2026-06-19T16:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"QLYDKPVKLK7C","created_at":"2026-06-19T16:11:18Z"},{"alias_kind":"pith_short_16","alias_value":"QLYDKPVKLK7CMJPU","created_at":"2026-06-19T16:11:18Z"},{"alias_kind":"pith_short_8","alias_value":"QLYDKPVK","created_at":"2026-06-19T16:11:18Z"}],"graph_snapshots":[{"event_id":"sha256:d6ca009e973e57e348e2abc2df7b909909b6b9c3b147c545e67c4e9cb70616ec","target":"graph","created_at":"2026-06-19T16:11:18Z","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/2601.00567/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adapting general-domain retrievers to scientific domains is challenging due to the scarcity of large-scale domain-specific relevance annotations and the substantial mismatch in vocabulary and information needs. Recent approaches address these issues through two independent directions that leverage large language models (LLMs): (1) generating synthetic queries for fine-tuning, and (2) generating auxiliary contexts to support relevance matching. However, both directions overlook the diverse academic concepts embedded within scientific documents, often producing redundant or conceptually narrow q","authors_text":"Bowen Jin, Dongha Lee, HwanJo Yu, Jeyun Lee, Jiawei Han, Junhyoung Lee, SeongKu Kang, Susik Yoon, Wonbin Kweon, Yu Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2026-01-02T04:47:49Z","title":"Improving Scientific Document Retrieval with Academic Concept Index"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.00567","kind":"arxiv","version":2},"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:a70e4cd2ea88f313083375887a4f15600bb4363ad4000868f1d913c4dffc6a8f","target":"record","created_at":"2026-06-19T16:11:18Z","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":"1957e3d79d52649e41efdcb470392c1f1df973f357dc91a354379083d1631700","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2026-01-02T04:47:49Z","title_canon_sha256":"214a2d8c49893885dda200b114365eafba0ad8901c685c056885b81dce9f63d3"},"schema_version":"1.0","source":{"id":"2601.00567","kind":"arxiv","version":2}},"canonical_sha256":"82f0353eaa5abe2625f417958fb31ab1f92b796e81295efc7b7c2d6921fbadee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82f0353eaa5abe2625f417958fb31ab1f92b796e81295efc7b7c2d6921fbadee","first_computed_at":"2026-06-19T16:11:18.884600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:18.884600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7Kk5BKxqeZ+iDs4mIYJb7t+Mksc41Hnr0ws8wZXBLB5Rb087LT6msomIV4bdlj4+DY+LopOiVqFowVG7g7zzBQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:18.885046Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.00567","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a70e4cd2ea88f313083375887a4f15600bb4363ad4000868f1d913c4dffc6a8f","sha256:d6ca009e973e57e348e2abc2df7b909909b6b9c3b147c545e67c4e9cb70616ec"],"state_sha256":"eb1460889160b5048185633acd2fba1b3fdbe2ca47e1c53af217c95aee1c817b"}