{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OBIY5GXQPUW5ICJJPSA3I7MSWU","short_pith_number":"pith:OBIY5GXQ","canonical_record":{"source":{"id":"2406.09459","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2024-06-12T22:05:51Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"f03073f6ace1358bb13c1b12356d7f7f9d7ffdb3bd13134387a57e50e41e1e09","abstract_canon_sha256":"03156eae44453ded67608e93362c0a9da7478bd52647f94bc9d931142c3c55ab"},"schema_version":"1.0"},"canonical_sha256":"70518e9af07d2dd409297c81b47d92b508910cd0b19385a81944510be8771607","source":{"kind":"arxiv","id":"2406.09459","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09459","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09459v2","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09459","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"pith_short_12","alias_value":"OBIY5GXQPUW5","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"pith_short_16","alias_value":"OBIY5GXQPUW5ICJJ","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"pith_short_8","alias_value":"OBIY5GXQ","created_at":"2026-07-05T11:20:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OBIY5GXQPUW5ICJJPSA3I7MSWU","target":"record","payload":{"canonical_record":{"source":{"id":"2406.09459","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2024-06-12T22:05:51Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"f03073f6ace1358bb13c1b12356d7f7f9d7ffdb3bd13134387a57e50e41e1e09","abstract_canon_sha256":"03156eae44453ded67608e93362c0a9da7478bd52647f94bc9d931142c3c55ab"},"schema_version":"1.0"},"canonical_sha256":"70518e9af07d2dd409297c81b47d92b508910cd0b19385a81944510be8771607","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:20:44.936936Z","signature_b64":"TErRIGVPkQOxpXi554oU0sIlnXuvrqB48XVhrhy9KzmAhdeSmgYthrw8CNT6mhUCgLHzizpAg2HiGW4zp9EjAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70518e9af07d2dd409297c81b47d92b508910cd0b19385a81944510be8771607","last_reissued_at":"2026-07-05T11:20:44.936438Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:20:44.936438Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.09459","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:20:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RWN17hgRjKzdp01ZRq8BTcT6JAwVR/0q3f6XIiw5voYYDkP7us6xZ/JIz2La8zLARf5B8gdva8Jv898LEDmuAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T18:43:37.351675Z"},"content_sha256":"4224e0bf49da4d7ec90ae7d20ef9d33144438ee77442c08675caf8efa523dcb7","schema_version":"1.0","event_id":"sha256:4224e0bf49da4d7ec90ae7d20ef9d33144438ee77442c08675caf8efa523dcb7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OBIY5GXQPUW5ICJJPSA3I7MSWU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ad Auctions for LLMs via Retrieval Augmented Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.GT","authors_text":"Keivan Rezaei, MohammadTaghi Hajiaghayi, S\\'ebastien Lahaie, Suho Shin","submitted_at":"2024-06-12T22:05:51Z","abstract_excerpt":"In the field of computational advertising, the integration of ads into the outputs of large language models (LLMs) presents an opportunity to support these services without compromising content integrity. This paper introduces novel auction mechanisms for ad allocation and pricing within the textual outputs of LLMs, leveraging retrieval-augmented generation (RAG). We propose a segment auction where an ad is probabilistically retrieved for each discourse segment (paragraph, section, or entire output) according to its bid and relevance, following the RAG framework, and priced according to compet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09459","kind":"arxiv","version":2},"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/2406.09459/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":"2026-07-05T11:20:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QOEJnJ1OwRUQcJWDU8hf/eJVq93eJzO/ZisYUTbfJiNNPQVyjyzb1hzkpttZaeJpLSRPgeBeLjH8a4nvbOLKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T18:43:37.352078Z"},"content_sha256":"f753740085cf674dc2d21ee24791be382735ba15c4c738f6a62712370ab07233","schema_version":"1.0","event_id":"sha256:f753740085cf674dc2d21ee24791be382735ba15c4c738f6a62712370ab07233"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OBIY5GXQPUW5ICJJPSA3I7MSWU/bundle.json","state_url":"https://pith.science/pith/OBIY5GXQPUW5ICJJPSA3I7MSWU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OBIY5GXQPUW5ICJJPSA3I7MSWU/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":"2026-08-13T18:43:37Z","links":{"resolver":"https://pith.science/pith/OBIY5GXQPUW5ICJJPSA3I7MSWU","bundle":"https://pith.science/pith/OBIY5GXQPUW5ICJJPSA3I7MSWU/bundle.json","state":"https://pith.science/pith/OBIY5GXQPUW5ICJJPSA3I7MSWU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OBIY5GXQPUW5ICJJPSA3I7MSWU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OBIY5GXQPUW5ICJJPSA3I7MSWU","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":"03156eae44453ded67608e93362c0a9da7478bd52647f94bc9d931142c3c55ab","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2024-06-12T22:05:51Z","title_canon_sha256":"f03073f6ace1358bb13c1b12356d7f7f9d7ffdb3bd13134387a57e50e41e1e09"},"schema_version":"1.0","source":{"id":"2406.09459","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.09459","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"arxiv_version","alias_value":"2406.09459v2","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09459","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"pith_short_12","alias_value":"OBIY5GXQPUW5","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"pith_short_16","alias_value":"OBIY5GXQPUW5ICJJ","created_at":"2026-07-05T11:20:44Z"},{"alias_kind":"pith_short_8","alias_value":"OBIY5GXQ","created_at":"2026-07-05T11:20:44Z"}],"graph_snapshots":[{"event_id":"sha256:f753740085cf674dc2d21ee24791be382735ba15c4c738f6a62712370ab07233","target":"graph","created_at":"2026-07-05T11:20:44Z","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/2406.09459/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of computational advertising, the integration of ads into the outputs of large language models (LLMs) presents an opportunity to support these services without compromising content integrity. This paper introduces novel auction mechanisms for ad allocation and pricing within the textual outputs of LLMs, leveraging retrieval-augmented generation (RAG). We propose a segment auction where an ad is probabilistically retrieved for each discourse segment (paragraph, section, or entire output) according to its bid and relevance, following the RAG framework, and priced according to compet","authors_text":"Keivan Rezaei, MohammadTaghi Hajiaghayi, S\\'ebastien Lahaie, Suho Shin","cross_cats":["cs.AI","cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2024-06-12T22:05:51Z","title":"Ad Auctions for LLMs via Retrieval Augmented Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09459","kind":"arxiv","version":2},"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":"sha256:4224e0bf49da4d7ec90ae7d20ef9d33144438ee77442c08675caf8efa523dcb7","target":"record","created_at":"2026-07-05T11:20:44Z","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":"03156eae44453ded67608e93362c0a9da7478bd52647f94bc9d931142c3c55ab","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2024-06-12T22:05:51Z","title_canon_sha256":"f03073f6ace1358bb13c1b12356d7f7f9d7ffdb3bd13134387a57e50e41e1e09"},"schema_version":"1.0","source":{"id":"2406.09459","kind":"arxiv","version":2}},"canonical_sha256":"70518e9af07d2dd409297c81b47d92b508910cd0b19385a81944510be8771607","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"70518e9af07d2dd409297c81b47d92b508910cd0b19385a81944510be8771607","first_computed_at":"2026-07-05T11:20:44.936438Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:44.936438Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TErRIGVPkQOxpXi554oU0sIlnXuvrqB48XVhrhy9KzmAhdeSmgYthrw8CNT6mhUCgLHzizpAg2HiGW4zp9EjAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:44.936936Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.09459","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4224e0bf49da4d7ec90ae7d20ef9d33144438ee77442c08675caf8efa523dcb7","sha256:f753740085cf674dc2d21ee24791be382735ba15c4c738f6a62712370ab07233"],"state_sha256":"0ebb790396e9534ce8b1988615724e34db33d0406ce311ad2a2533b3aef7fa08"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6vEjRHQLb36KKreIstlhhYJUI3S3dnkPr4D03sB9f5rYcoU16Tnw12MEiwYifqxfAO+R/EsmjbdOIGWlc+q6CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T18:43:37.354549Z","bundle_sha256":"a7060280597c61fee6bc8839e9fb18d2b1626b1a4aa15613cd918777847c1cb1"}}