{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:33C5M3YRB4FFWKIDBOQI57DUD3","short_pith_number":"pith:33C5M3YR","canonical_record":{"source":{"id":"2409.07850","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-09-12T08:53:11Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"a551d5ef6074f34bcfb77d73bbf017b101134c705f4964e0d389670631adbb1b","abstract_canon_sha256":"73e0bd76a28b77ad3637055ca9b9994461477495d5592df32f1d023d3b0bc9d8"},"schema_version":"1.0"},"canonical_sha256":"dec5d66f110f0a5b29030ba08efc741effc35ca2e552e01e2b4d17299b3a0960","source":{"kind":"arxiv","id":"2409.07850","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07850","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07850v1","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07850","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"pith_short_12","alias_value":"33C5M3YRB4FF","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"pith_short_16","alias_value":"33C5M3YRB4FFWKID","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"pith_short_8","alias_value":"33C5M3YR","created_at":"2026-07-05T09:06:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:33C5M3YRB4FFWKIDBOQI57DUD3","target":"record","payload":{"canonical_record":{"source":{"id":"2409.07850","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-09-12T08:53:11Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"a551d5ef6074f34bcfb77d73bbf017b101134c705f4964e0d389670631adbb1b","abstract_canon_sha256":"73e0bd76a28b77ad3637055ca9b9994461477495d5592df32f1d023d3b0bc9d8"},"schema_version":"1.0"},"canonical_sha256":"dec5d66f110f0a5b29030ba08efc741effc35ca2e552e01e2b4d17299b3a0960","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:16.210501Z","signature_b64":"q2oW/L7KmCFFer4u0it9JGs/8mLuwRJmjzcawS8pcXFGfBUecgVr2X+wWiXrEQUSbW80X+GeZW0asrAqjfv1Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dec5d66f110f0a5b29030ba08efc741effc35ca2e552e01e2b4d17299b3a0960","last_reissued_at":"2026-07-05T09:06:16.210073Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:16.210073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.07850","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":"2026-07-05T09:06:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L7x1hnmfD3T0P0pLIipNeWqNBYzRdhSyI4zR80r2QhU1B9ze0uKtdyiFCbvJzLzi3OFGRw4BCb6qpY7WQDIlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T11:49:52.139888Z"},"content_sha256":"dd5ac8b5560cb1231c05eab4a7b1ba28d5be5b0ffb57f055e4c8f13d0b64a55b","schema_version":"1.0","event_id":"sha256:dd5ac8b5560cb1231c05eab4a7b1ba28d5be5b0ffb57f055e4c8f13d0b64a55b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:33C5M3YRB4FFWKIDBOQI57DUD3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.IR","authors_text":"Ahmed Burak Ercan, \\c{S}ule G\\\"und\\\"uz \\\"O\\u{g}\\\"ud\\\"uc\\\"u, resul tugay, S\\\"umeyye \\\"Ozt\\\"urk","submitted_at":"2024-09-12T08:53:11Z","abstract_excerpt":"In today's world of globalized commerce, cross-market recommendation systems (CMRs) are crucial for providing personalized user experiences across diverse market segments. However, traditional recommendation algorithms have difficulties dealing with market specificity and data sparsity, especially in new or emerging markets. In this paper, we propose the CrossGR model, which utilizes Graph Isomorphism Networks (GINs) to improve CMR systems. It outperforms existing benchmarks in NDCG@10 and HR@10 metrics, demonstrating its adaptability and accuracy in handling diverse market segments. The Cross"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07850","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/2409.07850/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":"2026-07-05T09:06:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kfx6rceqXMk/wsjAMYaPBVRq7RCmRah8o2VK3ti03FsJXL6b3ZnJehd+Obtz7MhJyjET+SJZazM/K2LWOp2wAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T11:49:52.140259Z"},"content_sha256":"71cd9668df63f2f6e65f17d5bc8e69cdbf22b1db8a472e6413c819c53bc18005","schema_version":"1.0","event_id":"sha256:71cd9668df63f2f6e65f17d5bc8e69cdbf22b1db8a472e6413c819c53bc18005"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/33C5M3YRB4FFWKIDBOQI57DUD3/bundle.json","state_url":"https://pith.science/pith/33C5M3YRB4FFWKIDBOQI57DUD3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/33C5M3YRB4FFWKIDBOQI57DUD3/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":"2026-07-19T11:49:52Z","links":{"resolver":"https://pith.science/pith/33C5M3YRB4FFWKIDBOQI57DUD3","bundle":"https://pith.science/pith/33C5M3YRB4FFWKIDBOQI57DUD3/bundle.json","state":"https://pith.science/pith/33C5M3YRB4FFWKIDBOQI57DUD3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/33C5M3YRB4FFWKIDBOQI57DUD3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:33C5M3YRB4FFWKIDBOQI57DUD3","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":"73e0bd76a28b77ad3637055ca9b9994461477495d5592df32f1d023d3b0bc9d8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-09-12T08:53:11Z","title_canon_sha256":"a551d5ef6074f34bcfb77d73bbf017b101134c705f4964e0d389670631adbb1b"},"schema_version":"1.0","source":{"id":"2409.07850","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07850","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07850v1","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07850","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"pith_short_12","alias_value":"33C5M3YRB4FF","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"pith_short_16","alias_value":"33C5M3YRB4FFWKID","created_at":"2026-07-05T09:06:16Z"},{"alias_kind":"pith_short_8","alias_value":"33C5M3YR","created_at":"2026-07-05T09:06:16Z"}],"graph_snapshots":[{"event_id":"sha256:71cd9668df63f2f6e65f17d5bc8e69cdbf22b1db8a472e6413c819c53bc18005","target":"graph","created_at":"2026-07-05T09:06:16Z","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/2409.07850/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In today's world of globalized commerce, cross-market recommendation systems (CMRs) are crucial for providing personalized user experiences across diverse market segments. However, traditional recommendation algorithms have difficulties dealing with market specificity and data sparsity, especially in new or emerging markets. In this paper, we propose the CrossGR model, which utilizes Graph Isomorphism Networks (GINs) to improve CMR systems. It outperforms existing benchmarks in NDCG@10 and HR@10 metrics, demonstrating its adaptability and accuracy in handling diverse market segments. The Cross","authors_text":"Ahmed Burak Ercan, \\c{S}ule G\\\"und\\\"uz \\\"O\\u{g}\\\"ud\\\"uc\\\"u, resul tugay, S\\\"umeyye \\\"Ozt\\\"urk","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-09-12T08:53:11Z","title":"Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07850","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:dd5ac8b5560cb1231c05eab4a7b1ba28d5be5b0ffb57f055e4c8f13d0b64a55b","target":"record","created_at":"2026-07-05T09:06:16Z","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":"73e0bd76a28b77ad3637055ca9b9994461477495d5592df32f1d023d3b0bc9d8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-09-12T08:53:11Z","title_canon_sha256":"a551d5ef6074f34bcfb77d73bbf017b101134c705f4964e0d389670631adbb1b"},"schema_version":"1.0","source":{"id":"2409.07850","kind":"arxiv","version":1}},"canonical_sha256":"dec5d66f110f0a5b29030ba08efc741effc35ca2e552e01e2b4d17299b3a0960","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dec5d66f110f0a5b29030ba08efc741effc35ca2e552e01e2b4d17299b3a0960","first_computed_at":"2026-07-05T09:06:16.210073Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:16.210073Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q2oW/L7KmCFFer4u0it9JGs/8mLuwRJmjzcawS8pcXFGfBUecgVr2X+wWiXrEQUSbW80X+GeZW0asrAqjfv1Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:16.210501Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.07850","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd5ac8b5560cb1231c05eab4a7b1ba28d5be5b0ffb57f055e4c8f13d0b64a55b","sha256:71cd9668df63f2f6e65f17d5bc8e69cdbf22b1db8a472e6413c819c53bc18005"],"state_sha256":"bf479a9478e3c300c9b97bec03280943ab6989a1dcce681c0506c1fea0a0ff51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8vZJGQZheU60Pjb6utQT8tjPxD1Wj0NiSaSev/POgI5HrKnHDqPfJ9Yv8LMrpMRi1on1Y9JnkU5XVVZGuOoxBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T11:49:52.142737Z","bundle_sha256":"9a55afa2e0bce496446ea9607b630cde1d04573f5f40f26523b739c89b4895ed"}}