{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MAXJ3V226DQODIWMIOAXDKGBWS","short_pith_number":"pith:MAXJ3V22","canonical_record":{"source":{"id":"2605.29863","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T12:44:54Z","cross_cats_sorted":[],"title_canon_sha256":"7e2209b71877ce3253155d34306891f2f157c2a7fd130ea0d32a0c0f3554183a","abstract_canon_sha256":"a7226956c945e0b9a199914fe7bd6e3b9423c2e3401d9bc1df56bfac59008e23"},"schema_version":"1.0"},"canonical_sha256":"602e9dd75af0e0e1a2cc438171a8c1b489114cf321fe0c52e59119d0749b4d1f","source":{"kind":"arxiv","id":"2605.29863","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29863","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29863v1","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29863","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"MAXJ3V226DQO","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"MAXJ3V226DQODIWM","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"MAXJ3V22","created_at":"2026-05-29T02:05:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MAXJ3V226DQODIWMIOAXDKGBWS","target":"record","payload":{"canonical_record":{"source":{"id":"2605.29863","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T12:44:54Z","cross_cats_sorted":[],"title_canon_sha256":"7e2209b71877ce3253155d34306891f2f157c2a7fd130ea0d32a0c0f3554183a","abstract_canon_sha256":"a7226956c945e0b9a199914fe7bd6e3b9423c2e3401d9bc1df56bfac59008e23"},"schema_version":"1.0"},"canonical_sha256":"602e9dd75af0e0e1a2cc438171a8c1b489114cf321fe0c52e59119d0749b4d1f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:05:56.699744Z","signature_b64":"58ObPHDAFEgDgDCLdM7CS3bMsiD9PiLGBOacDHU/lLM2nq+oeUFsy+b8bmv6pXdLpA1RLmsvzJFj7OT9zuQxCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"602e9dd75af0e0e1a2cc438171a8c1b489114cf321fe0c52e59119d0749b4d1f","last_reissued_at":"2026-05-29T02:05:56.698851Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:05:56.698851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.29863","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":"2026-05-29T02:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jDUKwbLbFNecd7CO3m3BBsLeSZ5eNvNwiqi1ErD2B6kfTy58LO5vW23octPfxJRfGqdJXKL2NqDQmIXYBHsiDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T17:11:25.285016Z"},"content_sha256":"e897168cbfb7d6e67157207160141523c1e5a46f0c4a231f4117512035995f1f","schema_version":"1.0","event_id":"sha256:e897168cbfb7d6e67157207160141523c1e5a46f0c4a231f4117512035995f1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MAXJ3V226DQODIWMIOAXDKGBWS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STAP: A Shuffle-Tokenized App Predictor with Ultra Long Context for Vocabulary-Free Mobile App Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Chengyu Fan, Hang Liu","submitted_at":"2026-05-28T12:44:54Z","abstract_excerpt":"Predicting the next mobile application a user will launch is essential for intelligent device resource management and proactive assistance. Existing models rely on fixed app vocabularies, which prevents them from generalizing across different app ecosystems. Many also depend on user-specific knowledge, which complicates deployment in cold start scenarios. We propose STAP, a Transformer-based model that eliminates the need for a fixed vocabulary. STAP replaces true app identities with randomly reassigned virtual indices via a shuffle mechanism, and compensates for discarded semantic information"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29863","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/2605.29863/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":"2026-05-29T02:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7OBkYw5odwF05Rmze0VHYqHgg5WdkmFHWV9YRFskaw2Pbvh8qNlPb21f9Bxz1gxPsq0+KEunzXOfT0KGizv/Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T17:11:25.285409Z"},"content_sha256":"24238f74340e444f4bd7bdbcabb70590884ca12c43015645a7da66a1d0579723","schema_version":"1.0","event_id":"sha256:24238f74340e444f4bd7bdbcabb70590884ca12c43015645a7da66a1d0579723"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MAXJ3V226DQODIWMIOAXDKGBWS/bundle.json","state_url":"https://pith.science/pith/MAXJ3V226DQODIWMIOAXDKGBWS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MAXJ3V226DQODIWMIOAXDKGBWS/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":"2026-06-29T17:11:25Z","links":{"resolver":"https://pith.science/pith/MAXJ3V226DQODIWMIOAXDKGBWS","bundle":"https://pith.science/pith/MAXJ3V226DQODIWMIOAXDKGBWS/bundle.json","state":"https://pith.science/pith/MAXJ3V226DQODIWMIOAXDKGBWS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MAXJ3V226DQODIWMIOAXDKGBWS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MAXJ3V226DQODIWMIOAXDKGBWS","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":"a7226956c945e0b9a199914fe7bd6e3b9423c2e3401d9bc1df56bfac59008e23","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T12:44:54Z","title_canon_sha256":"7e2209b71877ce3253155d34306891f2f157c2a7fd130ea0d32a0c0f3554183a"},"schema_version":"1.0","source":{"id":"2605.29863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29863","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29863v1","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29863","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"MAXJ3V226DQO","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"MAXJ3V226DQODIWM","created_at":"2026-05-29T02:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"MAXJ3V22","created_at":"2026-05-29T02:05:56Z"}],"graph_snapshots":[{"event_id":"sha256:24238f74340e444f4bd7bdbcabb70590884ca12c43015645a7da66a1d0579723","target":"graph","created_at":"2026-05-29T02:05:56Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.29863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predicting the next mobile application a user will launch is essential for intelligent device resource management and proactive assistance. Existing models rely on fixed app vocabularies, which prevents them from generalizing across different app ecosystems. Many also depend on user-specific knowledge, which complicates deployment in cold start scenarios. We propose STAP, a Transformer-based model that eliminates the need for a fixed vocabulary. STAP replaces true app identities with randomly reassigned virtual indices via a shuffle mechanism, and compensates for discarded semantic information","authors_text":"Chengyu Fan, Hang Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T12:44:54Z","title":"STAP: A Shuffle-Tokenized App Predictor with Ultra Long Context for Vocabulary-Free Mobile App Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29863","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:e897168cbfb7d6e67157207160141523c1e5a46f0c4a231f4117512035995f1f","target":"record","created_at":"2026-05-29T02:05:56Z","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":"a7226956c945e0b9a199914fe7bd6e3b9423c2e3401d9bc1df56bfac59008e23","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T12:44:54Z","title_canon_sha256":"7e2209b71877ce3253155d34306891f2f157c2a7fd130ea0d32a0c0f3554183a"},"schema_version":"1.0","source":{"id":"2605.29863","kind":"arxiv","version":1}},"canonical_sha256":"602e9dd75af0e0e1a2cc438171a8c1b489114cf321fe0c52e59119d0749b4d1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"602e9dd75af0e0e1a2cc438171a8c1b489114cf321fe0c52e59119d0749b4d1f","first_computed_at":"2026-05-29T02:05:56.698851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:05:56.698851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"58ObPHDAFEgDgDCLdM7CS3bMsiD9PiLGBOacDHU/lLM2nq+oeUFsy+b8bmv6pXdLpA1RLmsvzJFj7OT9zuQxCw==","signature_status":"signed_v1","signed_at":"2026-05-29T02:05:56.699744Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.29863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e897168cbfb7d6e67157207160141523c1e5a46f0c4a231f4117512035995f1f","sha256:24238f74340e444f4bd7bdbcabb70590884ca12c43015645a7da66a1d0579723"],"state_sha256":"058b17dc3c779fa7b6decb32a07dee6c2cf8758c4e9e27a5f006f3f43be5da68"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nLFQqy+E0Mz41BAC4xs8PZ9VHIYHcFnXIfML4TrdYjYtpNzKdOQQaGXYYi6JMQfqygQyj0ZHhpBcBA9xwtUdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T17:11:25.287617Z","bundle_sha256":"e7fdd063b262fcca924e7390ca73b7152cf0c5fdcee13f54005ab001ebffa34f"}}