{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J45467HCCKV25HUDY266D6JBB4","short_pith_number":"pith:J45467HC","canonical_record":{"source":{"id":"2502.15908","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-21T19:53:43Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"20e3c62eaed83ff2ee004f864dad4b04cdbbcff5feda7e97bbcf4350d1e2b225","abstract_canon_sha256":"96c89df3c6f86a42940069b32e1c39523435716cf50222bca8879b8f872b8235"},"schema_version":"1.0"},"canonical_sha256":"4f3bcf7ce212abae9e83c6bde1f9210f03bf2ffd40e602001562d9a3b890e471","source":{"kind":"arxiv","id":"2502.15908","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15908","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15908v1","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15908","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"pith_short_12","alias_value":"J45467HCCKV2","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"pith_short_16","alias_value":"J45467HCCKV25HUD","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"pith_short_8","alias_value":"J45467HC","created_at":"2026-07-05T10:18:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J45467HCCKV25HUDY266D6JBB4","target":"record","payload":{"canonical_record":{"source":{"id":"2502.15908","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-21T19:53:43Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"20e3c62eaed83ff2ee004f864dad4b04cdbbcff5feda7e97bbcf4350d1e2b225","abstract_canon_sha256":"96c89df3c6f86a42940069b32e1c39523435716cf50222bca8879b8f872b8235"},"schema_version":"1.0"},"canonical_sha256":"4f3bcf7ce212abae9e83c6bde1f9210f03bf2ffd40e602001562d9a3b890e471","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:18:18.281864Z","signature_b64":"v6JoxJWeZUeaYOVTY2R1A6iA0KV+zCLNGzLqf+EbRzDeqJe8BrLzK8xO2IIPY4MjLAA/whxmpC2ZS8uW0hGDAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f3bcf7ce212abae9e83c6bde1f9210f03bf2ffd40e602001562d9a3b890e471","last_reissued_at":"2026-07-05T10:18:18.281352Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:18:18.281352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.15908","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":"2026-07-05T10:18:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"01wDesrQ7811bWZHfO12+ZP/MvIIL86y01s0qRDSr9j/hpDla3BZWVm+45xlwHW72blFfaxxxBMhnwdsoGbgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:08:48.350779Z"},"content_sha256":"62bb5e17551a01bf89a042b1706f41021e048188ecab23a12538aa37253e13aa","schema_version":"1.0","event_id":"sha256:62bb5e17551a01bf89a042b1706f41021e048188ecab23a12538aa37253e13aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J45467HCCKV25HUDY266D6JBB4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLMs in Mobile Apps: Practices, Challenges, and Opportunities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SE","authors_text":"Kimberly Hau, Safwat Hassan, Shurui Zhou","submitted_at":"2025-02-21T19:53:43Z","abstract_excerpt":"The integration of AI techniques has become increasingly popular in software development, enhancing performance, usability, and the availability of intelligent features. With the rise of large language models (LLMs) and generative AI, developers now have access to a wealth of high-quality open-source models and APIs from closed-source providers, enabling easier experimentation and integration of LLMs into various systems. This has also opened new possibilities in mobile application (app) development, allowing for more personalized and intelligent apps. However, integrating LLM into mobile apps"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15908","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/2502.15908/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":"2026-07-05T10:18:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LI97OHSxUlcNJah7f38nFeCUtdHmTQ2hmy/3vxSVgHZTVm58gf5MRo6bW4MBpluhV3s+rI6MDziIEKK93q5OCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:08:48.351321Z"},"content_sha256":"be713b2ba1a616de8bf9de89fc35bdb1595d55a8dc863799ffbdcb577296ced3","schema_version":"1.0","event_id":"sha256:be713b2ba1a616de8bf9de89fc35bdb1595d55a8dc863799ffbdcb577296ced3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J45467HCCKV25HUDY266D6JBB4/bundle.json","state_url":"https://pith.science/pith/J45467HCCKV25HUDY266D6JBB4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J45467HCCKV25HUDY266D6JBB4/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":"2026-08-08T22:08:48Z","links":{"resolver":"https://pith.science/pith/J45467HCCKV25HUDY266D6JBB4","bundle":"https://pith.science/pith/J45467HCCKV25HUDY266D6JBB4/bundle.json","state":"https://pith.science/pith/J45467HCCKV25HUDY266D6JBB4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J45467HCCKV25HUDY266D6JBB4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J45467HCCKV25HUDY266D6JBB4","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":"96c89df3c6f86a42940069b32e1c39523435716cf50222bca8879b8f872b8235","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-21T19:53:43Z","title_canon_sha256":"20e3c62eaed83ff2ee004f864dad4b04cdbbcff5feda7e97bbcf4350d1e2b225"},"schema_version":"1.0","source":{"id":"2502.15908","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15908","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15908v1","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15908","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"pith_short_12","alias_value":"J45467HCCKV2","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"pith_short_16","alias_value":"J45467HCCKV25HUD","created_at":"2026-07-05T10:18:18Z"},{"alias_kind":"pith_short_8","alias_value":"J45467HC","created_at":"2026-07-05T10:18:18Z"}],"graph_snapshots":[{"event_id":"sha256:be713b2ba1a616de8bf9de89fc35bdb1595d55a8dc863799ffbdcb577296ced3","target":"graph","created_at":"2026-07-05T10:18:18Z","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/2502.15908/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of AI techniques has become increasingly popular in software development, enhancing performance, usability, and the availability of intelligent features. With the rise of large language models (LLMs) and generative AI, developers now have access to a wealth of high-quality open-source models and APIs from closed-source providers, enabling easier experimentation and integration of LLMs into various systems. This has also opened new possibilities in mobile application (app) development, allowing for more personalized and intelligent apps. However, integrating LLM into mobile apps","authors_text":"Kimberly Hau, Safwat Hassan, Shurui Zhou","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-21T19:53:43Z","title":"LLMs in Mobile Apps: Practices, Challenges, and Opportunities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15908","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":"sha256:62bb5e17551a01bf89a042b1706f41021e048188ecab23a12538aa37253e13aa","target":"record","created_at":"2026-07-05T10:18:18Z","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":"96c89df3c6f86a42940069b32e1c39523435716cf50222bca8879b8f872b8235","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-02-21T19:53:43Z","title_canon_sha256":"20e3c62eaed83ff2ee004f864dad4b04cdbbcff5feda7e97bbcf4350d1e2b225"},"schema_version":"1.0","source":{"id":"2502.15908","kind":"arxiv","version":1}},"canonical_sha256":"4f3bcf7ce212abae9e83c6bde1f9210f03bf2ffd40e602001562d9a3b890e471","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f3bcf7ce212abae9e83c6bde1f9210f03bf2ffd40e602001562d9a3b890e471","first_computed_at":"2026-07-05T10:18:18.281352Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:18:18.281352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v6JoxJWeZUeaYOVTY2R1A6iA0KV+zCLNGzLqf+EbRzDeqJe8BrLzK8xO2IIPY4MjLAA/whxmpC2ZS8uW0hGDAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:18:18.281864Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.15908","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62bb5e17551a01bf89a042b1706f41021e048188ecab23a12538aa37253e13aa","sha256:be713b2ba1a616de8bf9de89fc35bdb1595d55a8dc863799ffbdcb577296ced3"],"state_sha256":"6c877b8e3c4bb750ee509289abe8b65e32e2cb42b2d0e39a7ef252f2bece9fbe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TMiJvH7Pu2TQ8JLIc5ajDczDjiEXmMrPh8UmBBHr6iNIHbh7kJ/nLRG5eC5SrM2zmJ5iLakrz5p9gMQ6wtUrDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T22:08:48.355971Z","bundle_sha256":"e3e88a536790b192666deb0551086a8e57868b8bc80f3c24518ec2bc5e89b56c"}}