{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:7GFKQD7I3V2JOYDWE5EMGO6FM6","short_pith_number":"pith:7GFKQD7I","canonical_record":{"source":{"id":"1711.07601","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-21T01:51:35Z","cross_cats_sorted":["cs.LG","cs.PF","cs.SI"],"title_canon_sha256":"372e542b34d0bd62b063c79e60574cd3b9ce7196abbc810cd30658e7cd11622d","abstract_canon_sha256":"9b4a0b1a52e517677f90eb943901427a543f1ef523aeb96f3febf59d6ec82c41"},"schema_version":"1.0"},"canonical_sha256":"f98aa80fe8dd749760762748c33bc567a18db8390792102db7c14fc5a9aa5a3b","source":{"kind":"arxiv","id":"1711.07601","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.07601","created_at":"2026-05-18T00:29:56Z"},{"alias_kind":"arxiv_version","alias_value":"1711.07601v1","created_at":"2026-05-18T00:29:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.07601","created_at":"2026-05-18T00:29:56Z"},{"alias_kind":"pith_short_12","alias_value":"7GFKQD7I3V2J","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7GFKQD7I3V2JOYDW","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7GFKQD7I","created_at":"2026-05-18T12:31:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:7GFKQD7I3V2JOYDWE5EMGO6FM6","target":"record","payload":{"canonical_record":{"source":{"id":"1711.07601","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-21T01:51:35Z","cross_cats_sorted":["cs.LG","cs.PF","cs.SI"],"title_canon_sha256":"372e542b34d0bd62b063c79e60574cd3b9ce7196abbc810cd30658e7cd11622d","abstract_canon_sha256":"9b4a0b1a52e517677f90eb943901427a543f1ef523aeb96f3febf59d6ec82c41"},"schema_version":"1.0"},"canonical_sha256":"f98aa80fe8dd749760762748c33bc567a18db8390792102db7c14fc5a9aa5a3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:56.858086Z","signature_b64":"g9YPa0PB9kE/gAV0ZYO5ldi5HxwTFAP7J4aOxhCPs1tM3YvPLPlHyz2PhD3lVvBxRCpRpS2D6aZTKmFxT0G+Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f98aa80fe8dd749760762748c33bc567a18db8390792102db7c14fc5a9aa5a3b","last_reissued_at":"2026-05-18T00:29:56.857670Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:56.857670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.07601","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":"2026-05-18T00:29:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wY5Qb/ZqZL4ug90m3X9Jz7TIFPNZ4e2MACsjgR5rL37r4OyOYaCG+hogG12vXemOAWSKSI6Zoqc+yLmSNq11Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T20:39:22.894754Z"},"content_sha256":"5150930002fa15cfdce8bb1fe1272d6d1214e7b30a984a0639bad5a37093b251","schema_version":"1.0","event_id":"sha256:5150930002fa15cfdce8bb1fe1272d6d1214e7b30a984a0639bad5a37093b251"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:7GFKQD7I3V2JOYDWE5EMGO6FM6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.PF","cs.SI"],"primary_cat":"cs.IR","authors_text":"Chantat Eksombatchai, Charles Sugnet, Jerry Zitao Liu, Jure Leskovec, Mark Ulrich, Pranav Jindal, Rahul Sharma, Yuchen Liu","submitted_at":"2017-11-21T01:51:35Z","abstract_excerpt":"User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a massive pool of items, a large number of users, and requirements for recommendations to be responsive to user actions and generated on demand in real-time. Here we present Pixie, a scalable graph-based real-time recommender system that we developed and deployed at Pinterest. Given a set of user-specific pins as a query, Pixie selects in real-time from billions of possible pins th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.07601","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":""},"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":"2026-05-18T00:29:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XDpbCdFjmYrv1KjyW1USkUCMvNbxqjTdGNMsEL4tVTSBsUO3JPTZgwVDpeNF/odUCkCHzjpq2H9IVcDNx6FICQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T20:39:22.895107Z"},"content_sha256":"216644adcf25dc09d15b1a4a093d633b974f879bc9bd8ccf0a9dfdfa9ab4c1c5","schema_version":"1.0","event_id":"sha256:216644adcf25dc09d15b1a4a093d633b974f879bc9bd8ccf0a9dfdfa9ab4c1c5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7GFKQD7I3V2JOYDWE5EMGO6FM6/bundle.json","state_url":"https://pith.science/pith/7GFKQD7I3V2JOYDWE5EMGO6FM6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7GFKQD7I3V2JOYDWE5EMGO6FM6/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":"2026-05-30T20:39:22Z","links":{"resolver":"https://pith.science/pith/7GFKQD7I3V2JOYDWE5EMGO6FM6","bundle":"https://pith.science/pith/7GFKQD7I3V2JOYDWE5EMGO6FM6/bundle.json","state":"https://pith.science/pith/7GFKQD7I3V2JOYDWE5EMGO6FM6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7GFKQD7I3V2JOYDWE5EMGO6FM6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:7GFKQD7I3V2JOYDWE5EMGO6FM6","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":"9b4a0b1a52e517677f90eb943901427a543f1ef523aeb96f3febf59d6ec82c41","cross_cats_sorted":["cs.LG","cs.PF","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-21T01:51:35Z","title_canon_sha256":"372e542b34d0bd62b063c79e60574cd3b9ce7196abbc810cd30658e7cd11622d"},"schema_version":"1.0","source":{"id":"1711.07601","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.07601","created_at":"2026-05-18T00:29:56Z"},{"alias_kind":"arxiv_version","alias_value":"1711.07601v1","created_at":"2026-05-18T00:29:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.07601","created_at":"2026-05-18T00:29:56Z"},{"alias_kind":"pith_short_12","alias_value":"7GFKQD7I3V2J","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"7GFKQD7I3V2JOYDW","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"7GFKQD7I","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:216644adcf25dc09d15b1a4a093d633b974f879bc9bd8ccf0a9dfdfa9ab4c1c5","target":"graph","created_at":"2026-05-18T00:29:56Z","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"},"paper":{"abstract_excerpt":"User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a massive pool of items, a large number of users, and requirements for recommendations to be responsive to user actions and generated on demand in real-time. Here we present Pixie, a scalable graph-based real-time recommender system that we developed and deployed at Pinterest. Given a set of user-specific pins as a query, Pixie selects in real-time from billions of possible pins th","authors_text":"Chantat Eksombatchai, Charles Sugnet, Jerry Zitao Liu, Jure Leskovec, Mark Ulrich, Pranav Jindal, Rahul Sharma, Yuchen Liu","cross_cats":["cs.LG","cs.PF","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-21T01:51:35Z","title":"Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.07601","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":"sha256:5150930002fa15cfdce8bb1fe1272d6d1214e7b30a984a0639bad5a37093b251","target":"record","created_at":"2026-05-18T00:29:56Z","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":"9b4a0b1a52e517677f90eb943901427a543f1ef523aeb96f3febf59d6ec82c41","cross_cats_sorted":["cs.LG","cs.PF","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-21T01:51:35Z","title_canon_sha256":"372e542b34d0bd62b063c79e60574cd3b9ce7196abbc810cd30658e7cd11622d"},"schema_version":"1.0","source":{"id":"1711.07601","kind":"arxiv","version":1}},"canonical_sha256":"f98aa80fe8dd749760762748c33bc567a18db8390792102db7c14fc5a9aa5a3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f98aa80fe8dd749760762748c33bc567a18db8390792102db7c14fc5a9aa5a3b","first_computed_at":"2026-05-18T00:29:56.857670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:56.857670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g9YPa0PB9kE/gAV0ZYO5ldi5HxwTFAP7J4aOxhCPs1tM3YvPLPlHyz2PhD3lVvBxRCpRpS2D6aZTKmFxT0G+Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:56.858086Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.07601","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5150930002fa15cfdce8bb1fe1272d6d1214e7b30a984a0639bad5a37093b251","sha256:216644adcf25dc09d15b1a4a093d633b974f879bc9bd8ccf0a9dfdfa9ab4c1c5"],"state_sha256":"155e04cb18eae751a58ce46bd80450855d0dc81f944f4016bd4cff6f35f2f3c7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BTG1tDRFP3Q4b0W66O8WEgI7UbdlrCbpG02RlqZJTGfDCeodm5lvP0fmj9Aa5lVPhkca/IzVSknMr2tgXKp9DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T20:39:22.897437Z","bundle_sha256":"9aeda807d62e9b25e4415cbf05e6796bd648f3fc0734c25a3019d4357f05cd6f"}}