{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QZT3PEXZE4JPDNRBO7LSCMYEDP","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":"8f43371240488dbbd38bd3fe4dd15c41a52b344166e9ad671f75b30f5b7bf6ea","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-01-29T01:58:30Z","title_canon_sha256":"0adba44ad3d0056084407197af6e968a4ec169cac00507072770977fb7c802e6"},"schema_version":"1.0","source":{"id":"2601.21162","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.21162","created_at":"2026-06-05T01:14:33Z"},{"alias_kind":"arxiv_version","alias_value":"2601.21162v2","created_at":"2026-06-05T01:14:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.21162","created_at":"2026-06-05T01:14:33Z"},{"alias_kind":"pith_short_12","alias_value":"QZT3PEXZE4JP","created_at":"2026-06-05T01:14:33Z"},{"alias_kind":"pith_short_16","alias_value":"QZT3PEXZE4JPDNRB","created_at":"2026-06-05T01:14:33Z"},{"alias_kind":"pith_short_8","alias_value":"QZT3PEXZ","created_at":"2026-06-05T01:14:33Z"}],"graph_snapshots":[{"event_id":"sha256:7408c219becc5c6e2c7b89d6727b8a84d346a3f76e823c1a03002045f8ca48e7","target":"graph","created_at":"2026-06-05T01:14:33Z","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/2601.21162/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Retrieval-Augmented Generation (Graph-RAG) enhances multihop question answering by organizing corpora into knowledge graphs and routing evidence through relational structure. However, practical deployments face two persistent bottlenecks: (i) mixed-difficulty workloads where one-size-fits-all retrieval either wastes cost on easy queries or fails on hard multihop cases, and (ii) extraction loss, where graph abstraction omits fine-grained qualifiers that remain only in source text. We present A2RAG, an adaptive-and-agentic GraphRAG framework for cost-aware and reliable reasoning. A2RAG cou","authors_text":"Bocheng Han, Danting Zhang, Dong Wen, Guanfeng Liu, Jiate Liu, Jinglin Wu, Mingchen Ju, Shaobo Qiao, Shuyue Yu, Xin Cao, Xin Shu, Zebin Chen, Zhengyi Yang","cross_cats":["cs.AI","cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-01-29T01:58:30Z","title":"A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.21162","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":"sha256:7b8cf10953c222854756164badcfc89e20ab4a0bd03613bf7366dfa35fa21bdc","target":"record","created_at":"2026-06-05T01:14:33Z","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":"8f43371240488dbbd38bd3fe4dd15c41a52b344166e9ad671f75b30f5b7bf6ea","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-01-29T01:58:30Z","title_canon_sha256":"0adba44ad3d0056084407197af6e968a4ec169cac00507072770977fb7c802e6"},"schema_version":"1.0","source":{"id":"2601.21162","kind":"arxiv","version":2}},"canonical_sha256":"8667b792f92712f1b62177d72133041bdd9dd8f77ed2336aa36041ce7197c941","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8667b792f92712f1b62177d72133041bdd9dd8f77ed2336aa36041ce7197c941","first_computed_at":"2026-06-05T01:14:33.631505Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T01:14:33.631505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dbSIXifRZj5kQM3GP8jkhD/vPJy0VpiAeArdIX0FbjfrnFhGANT5Zud5onSr7cYT+JqGDL/zgerN9UxnvN3tDg==","signature_status":"signed_v1","signed_at":"2026-06-05T01:14:33.632267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.21162","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b8cf10953c222854756164badcfc89e20ab4a0bd03613bf7366dfa35fa21bdc","sha256:7408c219becc5c6e2c7b89d6727b8a84d346a3f76e823c1a03002045f8ca48e7"],"state_sha256":"c10b9b285bfe8814871b738b30794a573d52dd1c1ac0e35160f9a14d78d5cff6"}