{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2P3J2HGFK3FXHPE7RNN6PWDVQ6","short_pith_number":"pith:2P3J2HGF","canonical_record":{"source":{"id":"2507.16754","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-22T16:46:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"58442fbacf8e8b56f20fe825e6d2b4a5c02ce1571f282ab1c7131631e78f9ddb","abstract_canon_sha256":"160f0e3e149d57ab19cefff4cc78de4ae8e0c2cb821aff84e8bc7e04e5d94c84"},"schema_version":"1.0"},"canonical_sha256":"d3f69d1cc556cb73bc9f8b5be7d87587bd60b893e7da46a34189066b177e8e81","source":{"kind":"arxiv","id":"2507.16754","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16754","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16754v1","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16754","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"pith_short_12","alias_value":"2P3J2HGFK3FX","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"pith_short_16","alias_value":"2P3J2HGFK3FXHPE7","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"pith_short_8","alias_value":"2P3J2HGF","created_at":"2026-07-05T11:41:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2P3J2HGFK3FXHPE7RNN6PWDVQ6","target":"record","payload":{"canonical_record":{"source":{"id":"2507.16754","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-22T16:46:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"58442fbacf8e8b56f20fe825e6d2b4a5c02ce1571f282ab1c7131631e78f9ddb","abstract_canon_sha256":"160f0e3e149d57ab19cefff4cc78de4ae8e0c2cb821aff84e8bc7e04e5d94c84"},"schema_version":"1.0"},"canonical_sha256":"d3f69d1cc556cb73bc9f8b5be7d87587bd60b893e7da46a34189066b177e8e81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:41:30.380886Z","signature_b64":"OZE33PhNzD4G+oFCYKyGf/aY+HxCuosN+EZo4Sfy6DNoWCdfzTvHM9/z1zTzSDusnU/8kiQ+KXJ7BGxO1iUvDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3f69d1cc556cb73bc9f8b5be7d87587bd60b893e7da46a34189066b177e8e81","last_reissued_at":"2026-07-05T11:41:30.380400Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:41:30.380400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.16754","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":"2026-07-05T11:41:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LNqXICTW3mYi0AfU1I/c6NaAUqz4EcfbDWl7GFqwGHco47cBMhN2kbQ5ekvF1Pmo1FMGdU7UEx2jtSdLYMViBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:37:56.256319Z"},"content_sha256":"b0e0eb9aab9e2df12bbc4254e7b440842795e998389a9031fbf5a5cc334116d4","schema_version":"1.0","event_id":"sha256:b0e0eb9aab9e2df12bbc4254e7b440842795e998389a9031fbf5a5cc334116d4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2P3J2HGFK3FXHPE7RNN6PWDVQ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Fangjian Lei, Mariam El Mezouar, Shayan Noei, Ying Zou","submitted_at":"2025-07-22T16:46:00Z","abstract_excerpt":"Large Language Models (LLMs) have shown promise in assisting developers with code-related questions; however, LLMs carry the risk of generating unreliable answers. To address this, Retrieval-Augmented Generation (RAG) has been proposed to reduce the unreliability (i.e., hallucinations) of LLMs. However, designing effective pipelines remains challenging due to numerous design choices. In this paper, we construct a retrieval corpus of over 3 million Java and Python related Stack Overflow posts with accepted answers, and explore various RAG pipeline designs to answer developer questions, evaluati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16754","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/2507.16754/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":"2026-07-05T11:41:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"06IXs4IJyAXzBB4O/wEFv2VpDfAVXHCd3KmxyAlQAAxjHjcPXIareQ0v5ROIawn0JLS3BTQcBcxOgGbrMKnkAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:37:56.256814Z"},"content_sha256":"afe206fe56df09ab7cc122b241ef9b0182b8371c3d0ebd50777651f5c5aa39ab","schema_version":"1.0","event_id":"sha256:afe206fe56df09ab7cc122b241ef9b0182b8371c3d0ebd50777651f5c5aa39ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2P3J2HGFK3FXHPE7RNN6PWDVQ6/bundle.json","state_url":"https://pith.science/pith/2P3J2HGFK3FXHPE7RNN6PWDVQ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2P3J2HGFK3FXHPE7RNN6PWDVQ6/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":"2026-08-07T03:37:56Z","links":{"resolver":"https://pith.science/pith/2P3J2HGFK3FXHPE7RNN6PWDVQ6","bundle":"https://pith.science/pith/2P3J2HGFK3FXHPE7RNN6PWDVQ6/bundle.json","state":"https://pith.science/pith/2P3J2HGFK3FXHPE7RNN6PWDVQ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2P3J2HGFK3FXHPE7RNN6PWDVQ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2P3J2HGFK3FXHPE7RNN6PWDVQ6","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":"160f0e3e149d57ab19cefff4cc78de4ae8e0c2cb821aff84e8bc7e04e5d94c84","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-22T16:46:00Z","title_canon_sha256":"58442fbacf8e8b56f20fe825e6d2b4a5c02ce1571f282ab1c7131631e78f9ddb"},"schema_version":"1.0","source":{"id":"2507.16754","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.16754","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"arxiv_version","alias_value":"2507.16754v1","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16754","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"pith_short_12","alias_value":"2P3J2HGFK3FX","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"pith_short_16","alias_value":"2P3J2HGFK3FXHPE7","created_at":"2026-07-05T11:41:30Z"},{"alias_kind":"pith_short_8","alias_value":"2P3J2HGF","created_at":"2026-07-05T11:41:30Z"}],"graph_snapshots":[{"event_id":"sha256:afe206fe56df09ab7cc122b241ef9b0182b8371c3d0ebd50777651f5c5aa39ab","target":"graph","created_at":"2026-07-05T11:41:30Z","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/2507.16754/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown promise in assisting developers with code-related questions; however, LLMs carry the risk of generating unreliable answers. To address this, Retrieval-Augmented Generation (RAG) has been proposed to reduce the unreliability (i.e., hallucinations) of LLMs. However, designing effective pipelines remains challenging due to numerous design choices. In this paper, we construct a retrieval corpus of over 3 million Java and Python related Stack Overflow posts with accepted answers, and explore various RAG pipeline designs to answer developer questions, evaluati","authors_text":"Fangjian Lei, Mariam El Mezouar, Shayan Noei, Ying Zou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-22T16:46:00Z","title":"Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16754","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:b0e0eb9aab9e2df12bbc4254e7b440842795e998389a9031fbf5a5cc334116d4","target":"record","created_at":"2026-07-05T11:41:30Z","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":"160f0e3e149d57ab19cefff4cc78de4ae8e0c2cb821aff84e8bc7e04e5d94c84","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-22T16:46:00Z","title_canon_sha256":"58442fbacf8e8b56f20fe825e6d2b4a5c02ce1571f282ab1c7131631e78f9ddb"},"schema_version":"1.0","source":{"id":"2507.16754","kind":"arxiv","version":1}},"canonical_sha256":"d3f69d1cc556cb73bc9f8b5be7d87587bd60b893e7da46a34189066b177e8e81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3f69d1cc556cb73bc9f8b5be7d87587bd60b893e7da46a34189066b177e8e81","first_computed_at":"2026-07-05T11:41:30.380400Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:41:30.380400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OZE33PhNzD4G+oFCYKyGf/aY+HxCuosN+EZo4Sfy6DNoWCdfzTvHM9/z1zTzSDusnU/8kiQ+KXJ7BGxO1iUvDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:41:30.380886Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.16754","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0e0eb9aab9e2df12bbc4254e7b440842795e998389a9031fbf5a5cc334116d4","sha256:afe206fe56df09ab7cc122b241ef9b0182b8371c3d0ebd50777651f5c5aa39ab"],"state_sha256":"2550ea735fcd51b9ac8e46fda6a19df4acffe3b447a57958a51e1ef06cfc60b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7gSrvYfdTjVoipOUPZswGQN9NvYIFuly9+rDnoiFSL7f82cYSM+Z4ZkJpqgxUek5Z54QjFZuR1VYWDd6cFjNAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:37:56.261338Z","bundle_sha256":"e60c75116dd660eefbf81fc082fad4ac3cb49576e7d102f3a9f42878e60622fe"}}