{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:UQIUSOPVCTS4JEUT7CULULCGPV","short_pith_number":"pith:UQIUSOPV","canonical_record":{"source":{"id":"2112.14266","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-12-28T19:05:44Z","cross_cats_sorted":[],"title_canon_sha256":"19df02ad715e9d549f5ba3acd2a63ce1f4e5adb1cb9355f4623137058cd7393a","abstract_canon_sha256":"d96b501585a1d017553703317394ebdb57301e56fd33f1b9af5bd9a8c5085fcb"},"schema_version":"1.0"},"canonical_sha256":"a4114939f514e5c49293f8a8ba2c467d575d335360b8281db50371c8e2fe84bf","source":{"kind":"arxiv","id":"2112.14266","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.14266","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"arxiv_version","alias_value":"2112.14266v1","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.14266","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"pith_short_12","alias_value":"UQIUSOPVCTS4","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"pith_short_16","alias_value":"UQIUSOPVCTS4JEUT","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"pith_short_8","alias_value":"UQIUSOPV","created_at":"2026-07-05T03:44:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:UQIUSOPVCTS4JEUT7CULULCGPV","target":"record","payload":{"canonical_record":{"source":{"id":"2112.14266","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-12-28T19:05:44Z","cross_cats_sorted":[],"title_canon_sha256":"19df02ad715e9d549f5ba3acd2a63ce1f4e5adb1cb9355f4623137058cd7393a","abstract_canon_sha256":"d96b501585a1d017553703317394ebdb57301e56fd33f1b9af5bd9a8c5085fcb"},"schema_version":"1.0"},"canonical_sha256":"a4114939f514e5c49293f8a8ba2c467d575d335360b8281db50371c8e2fe84bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:44:20.187395Z","signature_b64":"0etZEcZ7lMsR0r6qStz193qqHG2meF+1dDASlb3kYSiU9CnFWQ9qTlCT7sN8YUd87DmNikjgE2t0ETrMrdz3Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4114939f514e5c49293f8a8ba2c467d575d335360b8281db50371c8e2fe84bf","last_reissued_at":"2026-07-05T03:44:20.186973Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:44:20.186973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.14266","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":"2026-07-05T03:44:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rU9MoOT1weKWm5ra36qozXhYKCEXxEFMXlcx+pBHlfAOXFHuE35fTVhPpg3/HV1XItPIGG2vFTw2/A4g8Qs4CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:31:15.296681Z"},"content_sha256":"0abb160e33669c64b0b397e6bd79cfa7ed9179e95e2e133cc646c10cbffef203","schema_version":"1.0","event_id":"sha256:0abb160e33669c64b0b397e6bd79cfa7ed9179e95e2e133cc646c10cbffef203"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:UQIUSOPVCTS4JEUT7CULULCGPV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Session-based Recommendation with Hypergraph Attention Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"James Caverlee, Jianling Wang, Kaize Ding, Ziwei Zhu","submitted_at":"2021-12-28T19:05:44Z","abstract_excerpt":"Session-based recommender systems aim to improve recommendations in short-term sessions that can be found across many platforms. A critical challenge is to accurately model user intent with only limited evidence in these short sessions. For example, is a flower bouquet being viewed meant as part of a wedding purchase or for home decoration? Such different perspectives greatly impact what should be recommended next. Hence, this paper proposes a novel session-based recommendation system empowered by hypergraph attention networks. Three unique properties of the proposed approach are: (i) it const"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.14266","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/2112.14266/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":"2026-07-05T03:44:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cJGD3JvRO2FL+8oy4YOjw+GapLU+gGSg4+QEyhRv6hB3vZS3/oNspBavQQHvJ1Sjwcvg+RBiEgVRSoL1LP0FAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:31:15.297176Z"},"content_sha256":"2d959fbaa08ba848410fb183c0f7c35f0866a2aac02cd8245a4b3461ba09c8fd","schema_version":"1.0","event_id":"sha256:2d959fbaa08ba848410fb183c0f7c35f0866a2aac02cd8245a4b3461ba09c8fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UQIUSOPVCTS4JEUT7CULULCGPV/bundle.json","state_url":"https://pith.science/pith/UQIUSOPVCTS4JEUT7CULULCGPV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UQIUSOPVCTS4JEUT7CULULCGPV/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":"2026-08-08T12:31:15Z","links":{"resolver":"https://pith.science/pith/UQIUSOPVCTS4JEUT7CULULCGPV","bundle":"https://pith.science/pith/UQIUSOPVCTS4JEUT7CULULCGPV/bundle.json","state":"https://pith.science/pith/UQIUSOPVCTS4JEUT7CULULCGPV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UQIUSOPVCTS4JEUT7CULULCGPV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UQIUSOPVCTS4JEUT7CULULCGPV","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":"d96b501585a1d017553703317394ebdb57301e56fd33f1b9af5bd9a8c5085fcb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-12-28T19:05:44Z","title_canon_sha256":"19df02ad715e9d549f5ba3acd2a63ce1f4e5adb1cb9355f4623137058cd7393a"},"schema_version":"1.0","source":{"id":"2112.14266","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.14266","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"arxiv_version","alias_value":"2112.14266v1","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.14266","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"pith_short_12","alias_value":"UQIUSOPVCTS4","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"pith_short_16","alias_value":"UQIUSOPVCTS4JEUT","created_at":"2026-07-05T03:44:20Z"},{"alias_kind":"pith_short_8","alias_value":"UQIUSOPV","created_at":"2026-07-05T03:44:20Z"}],"graph_snapshots":[{"event_id":"sha256:2d959fbaa08ba848410fb183c0f7c35f0866a2aac02cd8245a4b3461ba09c8fd","target":"graph","created_at":"2026-07-05T03:44:20Z","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/2112.14266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Session-based recommender systems aim to improve recommendations in short-term sessions that can be found across many platforms. A critical challenge is to accurately model user intent with only limited evidence in these short sessions. For example, is a flower bouquet being viewed meant as part of a wedding purchase or for home decoration? Such different perspectives greatly impact what should be recommended next. Hence, this paper proposes a novel session-based recommendation system empowered by hypergraph attention networks. Three unique properties of the proposed approach are: (i) it const","authors_text":"James Caverlee, Jianling Wang, Kaize Ding, Ziwei Zhu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-12-28T19:05:44Z","title":"Session-based Recommendation with Hypergraph Attention Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.14266","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":"sha256:0abb160e33669c64b0b397e6bd79cfa7ed9179e95e2e133cc646c10cbffef203","target":"record","created_at":"2026-07-05T03:44:20Z","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":"d96b501585a1d017553703317394ebdb57301e56fd33f1b9af5bd9a8c5085fcb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2021-12-28T19:05:44Z","title_canon_sha256":"19df02ad715e9d549f5ba3acd2a63ce1f4e5adb1cb9355f4623137058cd7393a"},"schema_version":"1.0","source":{"id":"2112.14266","kind":"arxiv","version":1}},"canonical_sha256":"a4114939f514e5c49293f8a8ba2c467d575d335360b8281db50371c8e2fe84bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4114939f514e5c49293f8a8ba2c467d575d335360b8281db50371c8e2fe84bf","first_computed_at":"2026-07-05T03:44:20.186973Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:44:20.186973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0etZEcZ7lMsR0r6qStz193qqHG2meF+1dDASlb3kYSiU9CnFWQ9qTlCT7sN8YUd87DmNikjgE2t0ETrMrdz3Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:44:20.187395Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.14266","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0abb160e33669c64b0b397e6bd79cfa7ed9179e95e2e133cc646c10cbffef203","sha256:2d959fbaa08ba848410fb183c0f7c35f0866a2aac02cd8245a4b3461ba09c8fd"],"state_sha256":"b20d9b97027491627a0b2e35272152973b7d00db4be1e4c45e46abaf054dd32e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lI1W8ed6BUygLMHC4Xw7oO8dKeX92cEhwqBkBG3EJOpF+pfwuO8Ncor7LmKk4jMocptaZjBV3OnwRR0kiDWwDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:31:15.301331Z","bundle_sha256":"5102e79ae77bf5b5122d1abb5495fffd5260a5cdca8c6c8dd44abc3c20c3a47c"}}