{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XFHBTBG22YKHLFR6LM7N4A3P4D","short_pith_number":"pith:XFHBTBG2","canonical_record":{"source":{"id":"2608.07994","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T08:03:34Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"8116db24561d2044404b1233f622aa69e5a9d9a2c374b849a61f81aba78b6896","abstract_canon_sha256":"d02d45588f6f546167f8ca923ea3e5857c7db37e954a7375f646e1d6127790a4"},"schema_version":"1.0"},"canonical_sha256":"b94e1984dad61475963e5b3ede036fe0f4292c435c6fdedd449e2920d14ee235","source":{"kind":"arxiv","id":"2608.07994","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07994","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07994v1","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07994","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_12","alias_value":"XFHBTBG22YKH","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_16","alias_value":"XFHBTBG22YKHLFR6","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_8","alias_value":"XFHBTBG2","created_at":"2026-08-11T01:21:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XFHBTBG22YKHLFR6LM7N4A3P4D","target":"record","payload":{"canonical_record":{"source":{"id":"2608.07994","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T08:03:34Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"8116db24561d2044404b1233f622aa69e5a9d9a2c374b849a61f81aba78b6896","abstract_canon_sha256":"d02d45588f6f546167f8ca923ea3e5857c7db37e954a7375f646e1d6127790a4"},"schema_version":"1.0"},"canonical_sha256":"b94e1984dad61475963e5b3ede036fe0f4292c435c6fdedd449e2920d14ee235","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:21:20.349714Z","signature_b64":"Fy6DocSH/yOqWZEuw2uL00fEvzeVAGrnVqlfcQeEZMYgSkPikkpzZkGpYltiv8LsYe87hHAp8XwyhWkG4C+iAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b94e1984dad61475963e5b3ede036fe0f4292c435c6fdedd449e2920d14ee235","last_reissued_at":"2026-08-11T01:21:20.347222Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:21:20.347222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.07994","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":"2026-08-11T01:21:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y5tGi4kabip8PD9w6qqXT9Q9c7vBy03X89UfYdR0J+Z1Wp0csPZR8kw/nyAPCiFsHDBlyAW0LJFxTeleF0XOCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T11:03:25.806821Z"},"content_sha256":"b4e5b481d7f94318e9e22520754db600fe552cc1ca6da82311a09e392c22a8a0","schema_version":"1.0","event_id":"sha256:b4e5b481d7f94318e9e22520754db600fe552cc1ca6da82311a09e392c22a8a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XFHBTBG22YKHLFR6LM7N4A3P4D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.AI","authors_text":"Fangming Li, Haofei Yang, Rui Yang, Wenqi Chen","submitted_at":"2026-08-08T08:03:34Z","abstract_excerpt":"Retrieval-Augmented Generation (RAG) is essential for enterprise knowledge question answering (QA), particularly in domains with complex product documentation like telecommunications. However, existing RAG approaches largely overlook the holistic integration of diverse retrieval strengths, leading to inaccurate domain routing, poor utilization of hierarchical document structures, and consequently limited reasoning capabilities over enterprise knowledge. To address these limitations, we present VDGR-RAG, which integrates vector retrieval, directory-driven reasoning, graph traversal, and iterati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07994","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/2608.07994/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":"2026-08-11T01:21:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b0thLaEK1KGSV1AN4k1LxM5hTari7heI+clhRB9KKC3q3NX5D4PP/P1q6ggCYugxbnOVFHQ6Nh23Yy2Zs9NfCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T11:03:25.807417Z"},"content_sha256":"5c9de7e052357544b7b0d9bc7db684f36fa59ae93eebd9477b3524cc9adf2813","schema_version":"1.0","event_id":"sha256:5c9de7e052357544b7b0d9bc7db684f36fa59ae93eebd9477b3524cc9adf2813"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XFHBTBG22YKHLFR6LM7N4A3P4D/bundle.json","state_url":"https://pith.science/pith/XFHBTBG22YKHLFR6LM7N4A3P4D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XFHBTBG22YKHLFR6LM7N4A3P4D/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":"2026-08-13T11:03:25Z","links":{"resolver":"https://pith.science/pith/XFHBTBG22YKHLFR6LM7N4A3P4D","bundle":"https://pith.science/pith/XFHBTBG22YKHLFR6LM7N4A3P4D/bundle.json","state":"https://pith.science/pith/XFHBTBG22YKHLFR6LM7N4A3P4D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XFHBTBG22YKHLFR6LM7N4A3P4D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XFHBTBG22YKHLFR6LM7N4A3P4D","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":"d02d45588f6f546167f8ca923ea3e5857c7db37e954a7375f646e1d6127790a4","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T08:03:34Z","title_canon_sha256":"8116db24561d2044404b1233f622aa69e5a9d9a2c374b849a61f81aba78b6896"},"schema_version":"1.0","source":{"id":"2608.07994","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07994","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07994v1","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07994","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_12","alias_value":"XFHBTBG22YKH","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_16","alias_value":"XFHBTBG22YKHLFR6","created_at":"2026-08-11T01:21:20Z"},{"alias_kind":"pith_short_8","alias_value":"XFHBTBG2","created_at":"2026-08-11T01:21:20Z"}],"graph_snapshots":[{"event_id":"sha256:5c9de7e052357544b7b0d9bc7db684f36fa59ae93eebd9477b3524cc9adf2813","target":"graph","created_at":"2026-08-11T01:21:20Z","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/2608.07994/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval-Augmented Generation (RAG) is essential for enterprise knowledge question answering (QA), particularly in domains with complex product documentation like telecommunications. However, existing RAG approaches largely overlook the holistic integration of diverse retrieval strengths, leading to inaccurate domain routing, poor utilization of hierarchical document structures, and consequently limited reasoning capabilities over enterprise knowledge. To address these limitations, we present VDGR-RAG, which integrates vector retrieval, directory-driven reasoning, graph traversal, and iterati","authors_text":"Fangming Li, Haofei Yang, Rui Yang, Wenqi Chen","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T08:03:34Z","title":"VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07994","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:b4e5b481d7f94318e9e22520754db600fe552cc1ca6da82311a09e392c22a8a0","target":"record","created_at":"2026-08-11T01:21:20Z","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":"d02d45588f6f546167f8ca923ea3e5857c7db37e954a7375f646e1d6127790a4","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-08T08:03:34Z","title_canon_sha256":"8116db24561d2044404b1233f622aa69e5a9d9a2c374b849a61f81aba78b6896"},"schema_version":"1.0","source":{"id":"2608.07994","kind":"arxiv","version":1}},"canonical_sha256":"b94e1984dad61475963e5b3ede036fe0f4292c435c6fdedd449e2920d14ee235","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b94e1984dad61475963e5b3ede036fe0f4292c435c6fdedd449e2920d14ee235","first_computed_at":"2026-08-11T01:21:20.347222Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:21:20.347222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fy6DocSH/yOqWZEuw2uL00fEvzeVAGrnVqlfcQeEZMYgSkPikkpzZkGpYltiv8LsYe87hHAp8XwyhWkG4C+iAQ==","signature_status":"signed_v1","signed_at":"2026-08-11T01:21:20.349714Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07994","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b4e5b481d7f94318e9e22520754db600fe552cc1ca6da82311a09e392c22a8a0","sha256:5c9de7e052357544b7b0d9bc7db684f36fa59ae93eebd9477b3524cc9adf2813"],"state_sha256":"4a7eec47e51f664be678df8b9fc1fde5c71f11ae9167e5c47aea2d42681c77d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z/VDqyY0Y3XHIUlbY/GqAzR4AiK3PkpqBCbKvTsuZYYMugPBdQdnNRTbJbsLidaC8HnL5dDz/qy8DqBKbIeUDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T11:03:25.827528Z","bundle_sha256":"a4669f0c1459e6004d40d074ff503fcfb9ec53a7045939d82bb8465c2ecc4677"}}