{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UW2LF3YKAZ7UFYII6YRS645QGN","short_pith_number":"pith:UW2LF3YK","canonical_record":{"source":{"id":"2410.17694","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-23T09:14:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"356a092a1245d2778d42b2f7e542b9dbccad1a87f12aa07feeeae9cd7ff441b3","abstract_canon_sha256":"761466264ba144b233839e59c87033d887a57151b2ca0801c72462c65d18dfd6"},"schema_version":"1.0"},"canonical_sha256":"a5b4b2ef0a067f42e108f6232f73b0335316f7f6c3d1cd1fe99b7eb746fdd6d5","source":{"kind":"arxiv","id":"2410.17694","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.17694","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"2410.17694v1","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.17694","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"UW2LF3YKAZ7U","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"pith_short_16","alias_value":"UW2LF3YKAZ7UFYII","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"pith_short_8","alias_value":"UW2LF3YK","created_at":"2026-07-05T09:24:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UW2LF3YKAZ7UFYII6YRS645QGN","target":"record","payload":{"canonical_record":{"source":{"id":"2410.17694","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-23T09:14:57Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"356a092a1245d2778d42b2f7e542b9dbccad1a87f12aa07feeeae9cd7ff441b3","abstract_canon_sha256":"761466264ba144b233839e59c87033d887a57151b2ca0801c72462c65d18dfd6"},"schema_version":"1.0"},"canonical_sha256":"a5b4b2ef0a067f42e108f6232f73b0335316f7f6c3d1cd1fe99b7eb746fdd6d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:24:42.911935Z","signature_b64":"a0Bce6vcIEA8q15tRxT0mKws1E6xJQl3LplA2s0n0CnuKF5V/8CXhJtTLbbxQa+ZCG7todj5I4zA2IWnLCYfBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5b4b2ef0a067f42e108f6232f73b0335316f7f6c3d1cd1fe99b7eb746fdd6d5","last_reissued_at":"2026-07-05T09:24:42.911453Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:24:42.911453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.17694","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":"2026-07-05T09:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uzpPjm03RvmBeM/I4sZwV4YGQQ5B1QHheggA5i5UARxRTDAA5FSCWfRH4Frvi7DwCUbHtBe9l37+G1naj3HjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:39:27.621129Z"},"content_sha256":"eeff5f10f948332c4947793a3bfd51cca60ab2a72ba250eead2262015cfc4ee1","schema_version":"1.0","event_id":"sha256:eeff5f10f948332c4947793a3bfd51cca60ab2a72ba250eead2262015cfc4ee1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UW2LF3YKAZ7UFYII6YRS645QGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Fei Huang, Jinzhi Liao, Pengjun Xie, Xiang Zhao, Xiaobin Wang, Yong Jiang, Ziyang Chen","submitted_at":"2024-10-23T09:14:57Z","abstract_excerpt":"Question Answering (QA) systems face challenges in handling complex questions that require multi-domain knowledge synthesis. The naive RAG models, although effective in information retrieval, struggle with complex questions that require comprehensive and in-depth answers. The pioneering task is defined as explanatory answer generation, which entails handling identified challenges such as the requirement for comprehensive information and logical coherence within the generated context. To address these issues, we refer to systematic thinking theory and propose SynthRAG, an innovative framework d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.17694","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/2410.17694/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":"2026-07-05T09:24:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YI35oOu5TPmB9/dMdTznw9EaV4ytCubNnPiOcbt2do54sYzficuQikF9qkOQM6gLZqje1oFshK8tTmCN/+zODw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T00:39:27.621830Z"},"content_sha256":"05829a7e17ebccd418830005a58b8df9acecaf24a1d3c98aed087ab4fbd4ca4b","schema_version":"1.0","event_id":"sha256:05829a7e17ebccd418830005a58b8df9acecaf24a1d3c98aed087ab4fbd4ca4b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UW2LF3YKAZ7UFYII6YRS645QGN/bundle.json","state_url":"https://pith.science/pith/UW2LF3YKAZ7UFYII6YRS645QGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UW2LF3YKAZ7UFYII6YRS645QGN/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":"2026-08-21T00:39:27Z","links":{"resolver":"https://pith.science/pith/UW2LF3YKAZ7UFYII6YRS645QGN","bundle":"https://pith.science/pith/UW2LF3YKAZ7UFYII6YRS645QGN/bundle.json","state":"https://pith.science/pith/UW2LF3YKAZ7UFYII6YRS645QGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UW2LF3YKAZ7UFYII6YRS645QGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UW2LF3YKAZ7UFYII6YRS645QGN","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":"761466264ba144b233839e59c87033d887a57151b2ca0801c72462c65d18dfd6","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-23T09:14:57Z","title_canon_sha256":"356a092a1245d2778d42b2f7e542b9dbccad1a87f12aa07feeeae9cd7ff441b3"},"schema_version":"1.0","source":{"id":"2410.17694","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.17694","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"arxiv_version","alias_value":"2410.17694v1","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.17694","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"pith_short_12","alias_value":"UW2LF3YKAZ7U","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"pith_short_16","alias_value":"UW2LF3YKAZ7UFYII","created_at":"2026-07-05T09:24:42Z"},{"alias_kind":"pith_short_8","alias_value":"UW2LF3YK","created_at":"2026-07-05T09:24:42Z"}],"graph_snapshots":[{"event_id":"sha256:05829a7e17ebccd418830005a58b8df9acecaf24a1d3c98aed087ab4fbd4ca4b","target":"graph","created_at":"2026-07-05T09:24:42Z","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/2410.17694/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Question Answering (QA) systems face challenges in handling complex questions that require multi-domain knowledge synthesis. The naive RAG models, although effective in information retrieval, struggle with complex questions that require comprehensive and in-depth answers. The pioneering task is defined as explanatory answer generation, which entails handling identified challenges such as the requirement for comprehensive information and logical coherence within the generated context. To address these issues, we refer to systematic thinking theory and propose SynthRAG, an innovative framework d","authors_text":"Fei Huang, Jinzhi Liao, Pengjun Xie, Xiang Zhao, Xiaobin Wang, Yong Jiang, Ziyang Chen","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-23T09:14:57Z","title":"An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.17694","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:eeff5f10f948332c4947793a3bfd51cca60ab2a72ba250eead2262015cfc4ee1","target":"record","created_at":"2026-07-05T09:24:42Z","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":"761466264ba144b233839e59c87033d887a57151b2ca0801c72462c65d18dfd6","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-23T09:14:57Z","title_canon_sha256":"356a092a1245d2778d42b2f7e542b9dbccad1a87f12aa07feeeae9cd7ff441b3"},"schema_version":"1.0","source":{"id":"2410.17694","kind":"arxiv","version":1}},"canonical_sha256":"a5b4b2ef0a067f42e108f6232f73b0335316f7f6c3d1cd1fe99b7eb746fdd6d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5b4b2ef0a067f42e108f6232f73b0335316f7f6c3d1cd1fe99b7eb746fdd6d5","first_computed_at":"2026-07-05T09:24:42.911453Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:42.911453Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a0Bce6vcIEA8q15tRxT0mKws1E6xJQl3LplA2s0n0CnuKF5V/8CXhJtTLbbxQa+ZCG7todj5I4zA2IWnLCYfBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:42.911935Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.17694","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eeff5f10f948332c4947793a3bfd51cca60ab2a72ba250eead2262015cfc4ee1","sha256:05829a7e17ebccd418830005a58b8df9acecaf24a1d3c98aed087ab4fbd4ca4b"],"state_sha256":"546134a5d2ee6f0ebca8df12e4edfdfb113acdf9e818c6eb46f3089573a71f2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xj/V3iHHIgHFAGF/U43RuTsdJSlJNCygwgEO+u1Lk78YJ0abhde5GjjSrXI//49bvhgBd3CvLnVlxLGTwIaABQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T00:39:27.627479Z","bundle_sha256":"4169267bc1c4ed00e62ef1506a309d24f0640f205591c42da90e11ca6b1417c4"}}