{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EQXYNRDSF3YC7R5WJZW52PU5A5","short_pith_number":"pith:EQXYNRDS","canonical_record":{"source":{"id":"2412.14510","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-19T04:18:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"40afe8ed4a7d1aa647ec8c2c7e6ee4adc0b0d7aef0ca2ce21a1135278af792a4","abstract_canon_sha256":"ddd213d2e35fd7d9e6344c4f32971a1d318da7aa73f1b19152ecae08f57cacb2"},"schema_version":"1.0"},"canonical_sha256":"242f86c4722ef02fc7b64e6ddd3e9d075f45c1c6c78c066b273a3ac3a0eb470e","source":{"kind":"arxiv","id":"2412.14510","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14510","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14510v1","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14510","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"pith_short_12","alias_value":"EQXYNRDSF3YC","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"pith_short_16","alias_value":"EQXYNRDSF3YC7R5W","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"pith_short_8","alias_value":"EQXYNRDS","created_at":"2026-07-05T09:51:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EQXYNRDSF3YC7R5WJZW52PU5A5","target":"record","payload":{"canonical_record":{"source":{"id":"2412.14510","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-19T04:18:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"40afe8ed4a7d1aa647ec8c2c7e6ee4adc0b0d7aef0ca2ce21a1135278af792a4","abstract_canon_sha256":"ddd213d2e35fd7d9e6344c4f32971a1d318da7aa73f1b19152ecae08f57cacb2"},"schema_version":"1.0"},"canonical_sha256":"242f86c4722ef02fc7b64e6ddd3e9d075f45c1c6c78c066b273a3ac3a0eb470e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:48.515388Z","signature_b64":"BHxvoZcqlGx2eCkqFRfKJyZxuZCP6fI4qJN0Y7SP0HYvHJ3vJw/75PPUZrnWxNOTj4k4/Rdq1M2YE+WA+IX8Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"242f86c4722ef02fc7b64e6ddd3e9d075f45c1c6c78c066b273a3ac3a0eb470e","last_reissued_at":"2026-07-05T09:51:48.514951Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:48.514951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.14510","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":"2026-07-05T09:51:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E/APvKQ/3QN94mxlgFTwd69IMH7c+55BKXhJm92ZKGc9fJZa+zZjpO4noYXo9/4STo6UGy8UHwV2IzMGI1qSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:30:50.752084Z"},"content_sha256":"9ec766b213bd34282b52b6d62e8c2a4da17bfcc2f10a012ace57e8e33da28af3","schema_version":"1.0","event_id":"sha256:9ec766b213bd34282b52b6d62e8c2a4da17bfcc2f10a012ace57e8e33da28af3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EQXYNRDSF3YC7R5WJZW52PU5A5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Dawei Yin, Hao Sun, Hengyi Cai, Jiayi Wu, Lingyong Yan, Ming Gao, Shuaiqiang Wang, Xiang Li","submitted_at":"2024-12-19T04:18:51Z","abstract_excerpt":"The emergence of Retrieval-augmented generation (RAG) has alleviated the issues of outdated and hallucinatory content in the generation of large language models (LLMs), yet it still reveals numerous limitations. When a general-purpose LLM serves as the RAG generator, it often suffers from inadequate response informativeness, response robustness, and citation quality. Past approaches to tackle these limitations, either by incorporating additional steps beyond generating responses or optimizing the generator through supervised fine-tuning (SFT), still failed to align with the RAG requirement tho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14510","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/2412.14510/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":"2026-07-05T09:51:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O9gc60YB9JEn+bnH4roKX6makcpZqq7WcWhTY9MffjnQIOcqUMbmly8Mq7HtLVmONa7DOwJtemnz3TiGF/KJDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:30:50.752698Z"},"content_sha256":"f4ea5c35093d228e457443f3b4cc390c17098a84732e8f2efa3de1cc3302f8ce","schema_version":"1.0","event_id":"sha256:f4ea5c35093d228e457443f3b4cc390c17098a84732e8f2efa3de1cc3302f8ce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EQXYNRDSF3YC7R5WJZW52PU5A5/bundle.json","state_url":"https://pith.science/pith/EQXYNRDSF3YC7R5WJZW52PU5A5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EQXYNRDSF3YC7R5WJZW52PU5A5/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":"2026-08-10T16:30:50Z","links":{"resolver":"https://pith.science/pith/EQXYNRDSF3YC7R5WJZW52PU5A5","bundle":"https://pith.science/pith/EQXYNRDSF3YC7R5WJZW52PU5A5/bundle.json","state":"https://pith.science/pith/EQXYNRDSF3YC7R5WJZW52PU5A5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EQXYNRDSF3YC7R5WJZW52PU5A5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EQXYNRDSF3YC7R5WJZW52PU5A5","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":"ddd213d2e35fd7d9e6344c4f32971a1d318da7aa73f1b19152ecae08f57cacb2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-19T04:18:51Z","title_canon_sha256":"40afe8ed4a7d1aa647ec8c2c7e6ee4adc0b0d7aef0ca2ce21a1135278af792a4"},"schema_version":"1.0","source":{"id":"2412.14510","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14510","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14510v1","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14510","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"pith_short_12","alias_value":"EQXYNRDSF3YC","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"pith_short_16","alias_value":"EQXYNRDSF3YC7R5W","created_at":"2026-07-05T09:51:48Z"},{"alias_kind":"pith_short_8","alias_value":"EQXYNRDS","created_at":"2026-07-05T09:51:48Z"}],"graph_snapshots":[{"event_id":"sha256:f4ea5c35093d228e457443f3b4cc390c17098a84732e8f2efa3de1cc3302f8ce","target":"graph","created_at":"2026-07-05T09:51:48Z","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/2412.14510/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of Retrieval-augmented generation (RAG) has alleviated the issues of outdated and hallucinatory content in the generation of large language models (LLMs), yet it still reveals numerous limitations. When a general-purpose LLM serves as the RAG generator, it often suffers from inadequate response informativeness, response robustness, and citation quality. Past approaches to tackle these limitations, either by incorporating additional steps beyond generating responses or optimizing the generator through supervised fine-tuning (SFT), still failed to align with the RAG requirement tho","authors_text":"Dawei Yin, Hao Sun, Hengyi Cai, Jiayi Wu, Lingyong Yan, Ming Gao, Shuaiqiang Wang, Xiang Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-19T04:18:51Z","title":"PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14510","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":"sha256:9ec766b213bd34282b52b6d62e8c2a4da17bfcc2f10a012ace57e8e33da28af3","target":"record","created_at":"2026-07-05T09:51:48Z","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":"ddd213d2e35fd7d9e6344c4f32971a1d318da7aa73f1b19152ecae08f57cacb2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-19T04:18:51Z","title_canon_sha256":"40afe8ed4a7d1aa647ec8c2c7e6ee4adc0b0d7aef0ca2ce21a1135278af792a4"},"schema_version":"1.0","source":{"id":"2412.14510","kind":"arxiv","version":1}},"canonical_sha256":"242f86c4722ef02fc7b64e6ddd3e9d075f45c1c6c78c066b273a3ac3a0eb470e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"242f86c4722ef02fc7b64e6ddd3e9d075f45c1c6c78c066b273a3ac3a0eb470e","first_computed_at":"2026-07-05T09:51:48.514951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:48.514951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BHxvoZcqlGx2eCkqFRfKJyZxuZCP6fI4qJN0Y7SP0HYvHJ3vJw/75PPUZrnWxNOTj4k4/Rdq1M2YE+WA+IX8Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:48.515388Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14510","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ec766b213bd34282b52b6d62e8c2a4da17bfcc2f10a012ace57e8e33da28af3","sha256:f4ea5c35093d228e457443f3b4cc390c17098a84732e8f2efa3de1cc3302f8ce"],"state_sha256":"9e9860f2d10cd78a6e46c54886d40b80752127dbfa3c3d3ff49925b54d22150f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f3Ljrv146MO7kNqqNF5ZF9LmywVb2lT6L+SEY1KftJYlqzdF1M3WGmN6tjXTJpts7BIDUrFR8yjIuk6xGVyhDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T16:30:50.758098Z","bundle_sha256":"6effc83fa1da4c7980ac68535d61e86cb18cb1b584e5a22425192905af5e77dd"}}