{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AGL3PBJGVDCMQBV2OMW2SL3RPN","short_pith_number":"pith:AGL3PBJG","canonical_record":{"source":{"id":"2508.02020","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-04T03:30:26Z","cross_cats_sorted":[],"title_canon_sha256":"29d2d88dae8e0d8582fa8cbd944251f9b9bcf15974ca0789de6833240bfe4526","abstract_canon_sha256":"942751ba61e9bf6e9865a338e50dd972c419f51310dea9556edc524a81bfd398"},"schema_version":"1.0"},"canonical_sha256":"0197b78526a8c4c806ba732da92f717b6588ca312f97cd810ff4d503fc66696a","source":{"kind":"arxiv","id":"2508.02020","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02020","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02020v1","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02020","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_12","alias_value":"AGL3PBJGVDCM","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_16","alias_value":"AGL3PBJGVDCMQBV2","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_8","alias_value":"AGL3PBJG","created_at":"2026-07-05T11:47:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AGL3PBJGVDCMQBV2OMW2SL3RPN","target":"record","payload":{"canonical_record":{"source":{"id":"2508.02020","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-04T03:30:26Z","cross_cats_sorted":[],"title_canon_sha256":"29d2d88dae8e0d8582fa8cbd944251f9b9bcf15974ca0789de6833240bfe4526","abstract_canon_sha256":"942751ba61e9bf6e9865a338e50dd972c419f51310dea9556edc524a81bfd398"},"schema_version":"1.0"},"canonical_sha256":"0197b78526a8c4c806ba732da92f717b6588ca312f97cd810ff4d503fc66696a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:49.687002Z","signature_b64":"VF3hBTXPUOn7t8B47bwHBKSTfgWdFLUQeiHWg5dBLW6QUIdJ4qpsX+d5//BIFs5TvXnrSqSgVnw8r11DfFIGDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0197b78526a8c4c806ba732da92f717b6588ca312f97cd810ff4d503fc66696a","last_reissued_at":"2026-07-05T11:47:49.686482Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:49.686482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.02020","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":"2026-07-05T11:47:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qe40fI46P4KDLRMTvj9+YZpcivwf5l6exS2eADQNI0R5+A/XkSisLtLJn/sg4DvB5LpTE0mPOasKq8bLZ1irAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:49:42.244039Z"},"content_sha256":"e082c71f9c69903e6f76b2b68bb1dffeaa350910e3d07ff7f3553d63addcd168","schema_version":"1.0","event_id":"sha256:e082c71f9c69903e6f76b2b68bb1dffeaa350910e3d07ff7f3553d63addcd168"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AGL3PBJGVDCMQBV2OMW2SL3RPN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating Position Bias in Large Language Model Recommendations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Estrid He, Ethan Bito, Yongli Ren","submitted_at":"2025-08-04T03:30:26Z","abstract_excerpt":"Large Language Models (LLMs) are being increasingly explored as general-purpose tools for recommendation tasks, enabling zero-shot and instruction-following capabilities without the need for task-specific training. While the research community is enthusiastically embracing LLMs, there are important caveats to directly adapting them for recommendation tasks. In this paper, we show that LLM-based recommendation models suffer from position bias, where the order of candidate items in a prompt can disproportionately influence the recommendations produced by LLMs. First, we analyse the position bias"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02020","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/2508.02020/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":"2026-07-05T11:47:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0WBjj2x+oRySac/ETmrahXXf5PbBwEXSEC8EbfajhN1nl6BYCyXhTazzXB4dxQnED3WVvyLiJvZ3GgdmPZ7yCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:49:42.244537Z"},"content_sha256":"55a8f0a8003fabe7023981b14ea024917ecd6bd9e1b6354efc18613143ed1bcc","schema_version":"1.0","event_id":"sha256:55a8f0a8003fabe7023981b14ea024917ecd6bd9e1b6354efc18613143ed1bcc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AGL3PBJGVDCMQBV2OMW2SL3RPN/bundle.json","state_url":"https://pith.science/pith/AGL3PBJGVDCMQBV2OMW2SL3RPN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AGL3PBJGVDCMQBV2OMW2SL3RPN/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":"2026-08-10T11:49:42Z","links":{"resolver":"https://pith.science/pith/AGL3PBJGVDCMQBV2OMW2SL3RPN","bundle":"https://pith.science/pith/AGL3PBJGVDCMQBV2OMW2SL3RPN/bundle.json","state":"https://pith.science/pith/AGL3PBJGVDCMQBV2OMW2SL3RPN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AGL3PBJGVDCMQBV2OMW2SL3RPN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AGL3PBJGVDCMQBV2OMW2SL3RPN","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":"942751ba61e9bf6e9865a338e50dd972c419f51310dea9556edc524a81bfd398","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-04T03:30:26Z","title_canon_sha256":"29d2d88dae8e0d8582fa8cbd944251f9b9bcf15974ca0789de6833240bfe4526"},"schema_version":"1.0","source":{"id":"2508.02020","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.02020","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"arxiv_version","alias_value":"2508.02020v1","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.02020","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_12","alias_value":"AGL3PBJGVDCM","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_16","alias_value":"AGL3PBJGVDCMQBV2","created_at":"2026-07-05T11:47:49Z"},{"alias_kind":"pith_short_8","alias_value":"AGL3PBJG","created_at":"2026-07-05T11:47:49Z"}],"graph_snapshots":[{"event_id":"sha256:55a8f0a8003fabe7023981b14ea024917ecd6bd9e1b6354efc18613143ed1bcc","target":"graph","created_at":"2026-07-05T11:47:49Z","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/2508.02020/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) are being increasingly explored as general-purpose tools for recommendation tasks, enabling zero-shot and instruction-following capabilities without the need for task-specific training. While the research community is enthusiastically embracing LLMs, there are important caveats to directly adapting them for recommendation tasks. In this paper, we show that LLM-based recommendation models suffer from position bias, where the order of candidate items in a prompt can disproportionately influence the recommendations produced by LLMs. First, we analyse the position bias","authors_text":"Estrid He, Ethan Bito, Yongli Ren","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-04T03:30:26Z","title":"Evaluating Position Bias in Large Language Model Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.02020","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:e082c71f9c69903e6f76b2b68bb1dffeaa350910e3d07ff7f3553d63addcd168","target":"record","created_at":"2026-07-05T11:47:49Z","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":"942751ba61e9bf6e9865a338e50dd972c419f51310dea9556edc524a81bfd398","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-08-04T03:30:26Z","title_canon_sha256":"29d2d88dae8e0d8582fa8cbd944251f9b9bcf15974ca0789de6833240bfe4526"},"schema_version":"1.0","source":{"id":"2508.02020","kind":"arxiv","version":1}},"canonical_sha256":"0197b78526a8c4c806ba732da92f717b6588ca312f97cd810ff4d503fc66696a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0197b78526a8c4c806ba732da92f717b6588ca312f97cd810ff4d503fc66696a","first_computed_at":"2026-07-05T11:47:49.686482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:49.686482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VF3hBTXPUOn7t8B47bwHBKSTfgWdFLUQeiHWg5dBLW6QUIdJ4qpsX+d5//BIFs5TvXnrSqSgVnw8r11DfFIGDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:49.687002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.02020","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e082c71f9c69903e6f76b2b68bb1dffeaa350910e3d07ff7f3553d63addcd168","sha256:55a8f0a8003fabe7023981b14ea024917ecd6bd9e1b6354efc18613143ed1bcc"],"state_sha256":"af3852792f7b8396b0703f99de8ff742ab0f90651791dfa93c4c5b67e4d98cee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qn/iw+slu2HDBwPWZ5iBpOpbZDUZrFk7H1MKgcdDiL2HwU9z6WIigBRW0L5t8i1wogEVVdhfS9BwfS/vObcbDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T11:49:42.250183Z","bundle_sha256":"a59b42dd06df6ca1b7f8c7835dd38f252f2840e1787c954262af498e91df9e92"}}