{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Q32VU7BR3HWZ7DQUPYUQLIEOCN","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":"53a7620f5f9321225caf159ca1d91f2a84c35eba98236fff1c98090769c721bd","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-05-28T22:57:04Z","title_canon_sha256":"19d13871a3bcf8cb4a35035bb7b2bb3e98e61bb85bd8a1ec03372745d66c7a36"},"schema_version":"1.0","source":{"id":"2506.00054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00054","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00054v1","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00054","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_12","alias_value":"Q32VU7BR3HWZ","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_16","alias_value":"Q32VU7BR3HWZ7DQU","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_8","alias_value":"Q32VU7BR","created_at":"2026-07-05T11:13:28Z"}],"graph_snapshots":[{"event_id":"sha256:a561a4cac4287f0987f8eb1a52e3621b51b3c6ed5190be01088890ca9f5548ab","target":"graph","created_at":"2026-07-05T11:13:28Z","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/2506.00054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm to enhance large language models (LLMs) by conditioning generation on external evidence retrieved at inference time. While RAG addresses critical limitations of parametric knowledge storage-such as factual inconsistency and domain inflexibility-it introduces new challenges in retrieval quality, grounding fidelity, pipeline efficiency, and robustness against noisy or adversarial inputs. This survey provides a comprehensive synthesis of recent advances in RAG systems, offering a taxonomy that categorizes architectures into r","authors_text":"Chaitanya Sharma","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-05-28T22:57:04Z","title":"Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00054","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:a131f6b6eaa37ae8d17c29e33b30c855f66d624e6cd4a7b1e725bfd8926e06af","target":"record","created_at":"2026-07-05T11:13:28Z","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":"53a7620f5f9321225caf159ca1d91f2a84c35eba98236fff1c98090769c721bd","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-05-28T22:57:04Z","title_canon_sha256":"19d13871a3bcf8cb4a35035bb7b2bb3e98e61bb85bd8a1ec03372745d66c7a36"},"schema_version":"1.0","source":{"id":"2506.00054","kind":"arxiv","version":1}},"canonical_sha256":"86f55a7c31d9ed9f8e147e2905a08e134071a9515d9c34e20f606b5fc88af08b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86f55a7c31d9ed9f8e147e2905a08e134071a9515d9c34e20f606b5fc88af08b","first_computed_at":"2026-07-05T11:13:28.220923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:28.220923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vZhagqQhUrBES/bH6u6hDwu3UYIOZL2UjiAgq6uFvuGDwPNq7Plh2AibyCNDIqohCUgit2wKzqyMv/pMPvoRDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:28.221401Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a131f6b6eaa37ae8d17c29e33b30c855f66d624e6cd4a7b1e725bfd8926e06af","sha256:a561a4cac4287f0987f8eb1a52e3621b51b3c6ed5190be01088890ca9f5548ab"],"state_sha256":"1ef6e981b9022e06e9fa000cd5b4c87e1ec4c5a9680c8597e9e83a36e2d4226b"}