{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:A2FFIBZIOJEEXWZ3UPU3IYHLHT","short_pith_number":"pith:A2FFIBZI","canonical_record":{"source":{"id":"2407.18921","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-07-09T13:47:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3c006d46aec22662d07d4d5bfe8f45829bf445a19a71a79f477253a80dec1b83","abstract_canon_sha256":"6be20960944301b35c7570c555e9dc22e3a2aa62bb292e287af6522afa0bc0c7"},"schema_version":"1.0"},"canonical_sha256":"068a54072872484bdb3ba3e9b460eb3ccbe57822db6581b6d1144edd9a332468","source":{"kind":"arxiv","id":"2407.18921","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.18921","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"arxiv_version","alias_value":"2407.18921v2","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.18921","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"pith_short_12","alias_value":"A2FFIBZIOJEE","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"pith_short_16","alias_value":"A2FFIBZIOJEEXWZ3","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"pith_short_8","alias_value":"A2FFIBZI","created_at":"2026-07-05T10:35:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:A2FFIBZIOJEEXWZ3UPU3IYHLHT","target":"record","payload":{"canonical_record":{"source":{"id":"2407.18921","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-07-09T13:47:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3c006d46aec22662d07d4d5bfe8f45829bf445a19a71a79f477253a80dec1b83","abstract_canon_sha256":"6be20960944301b35c7570c555e9dc22e3a2aa62bb292e287af6522afa0bc0c7"},"schema_version":"1.0"},"canonical_sha256":"068a54072872484bdb3ba3e9b460eb3ccbe57822db6581b6d1144edd9a332468","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:35:34.977589Z","signature_b64":"EopLWROXjyi45A05jYrrJMgi1iSAk5urJLdJCHP0faRH6GbS2tgyD+atqP7i6qN+kF9vj2JE2GYM3pJbpyR7Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"068a54072872484bdb3ba3e9b460eb3ccbe57822db6581b6d1144edd9a332468","last_reissued_at":"2026-07-05T10:35:34.977092Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:35:34.977092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.18921","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:35:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Irkwh6HLxbvX477FQDOCx+Mf2uFrsMkDvTGxGaNzh5xkPYS4erM27rjSVFvmJXIJfx0SZehnz7rrbVqv9ZHAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:02:56.823278Z"},"content_sha256":"874f506da75bc7fddde2149783c52e34708fc8605de4e1e1623000061fe1690e","schema_version":"1.0","event_id":"sha256:874f506da75bc7fddde2149783c52e34708fc8605de4e1e1623000061fe1690e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:A2FFIBZIOJEEXWZ3UPU3IYHLHT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mobile Edge Intelligence for Large Language Models: A Contemporary Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.NI","authors_text":"Guanqiao Qu, Kaibin Huang, Qiyuan Chen, Wei Wei, Xianhao Chen, Zheng Lin","submitted_at":"2024-07-09T13:47:05Z","abstract_excerpt":"On-device large language models (LLMs), referring to running LLMs on edge devices, have raised considerable interest since they are more cost-effective, latency-efficient, and privacy-preserving compared with the cloud paradigm. Nonetheless, the performance of on-device LLMs is intrinsically constrained by resource limitations on edge devices. Sitting between cloud and on-device AI, mobile edge intelligence (MEI) presents a viable solution by provisioning AI capabilities at the edge of mobile networks, enabling end users to offload heavy AI computation to capable edge servers nearby. This arti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.18921","kind":"arxiv","version":2},"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/2407.18921/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":"2026-07-05T10:35:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jWewYXsv5lfwWrmDS7vPhAKBPYjxFWxGD/meRGKoa25iNANFYUEkH334dcxXvY0e6uEOlfS4kyImWvTGAf8uAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:02:56.823834Z"},"content_sha256":"63b9249f20db0830be24f0fe406860c851404e695ef4c274aa3e4d26b29ee3bb","schema_version":"1.0","event_id":"sha256:63b9249f20db0830be24f0fe406860c851404e695ef4c274aa3e4d26b29ee3bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A2FFIBZIOJEEXWZ3UPU3IYHLHT/bundle.json","state_url":"https://pith.science/pith/A2FFIBZIOJEEXWZ3UPU3IYHLHT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A2FFIBZIOJEEXWZ3UPU3IYHLHT/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":"2026-08-08T04:02:56Z","links":{"resolver":"https://pith.science/pith/A2FFIBZIOJEEXWZ3UPU3IYHLHT","bundle":"https://pith.science/pith/A2FFIBZIOJEEXWZ3UPU3IYHLHT/bundle.json","state":"https://pith.science/pith/A2FFIBZIOJEEXWZ3UPU3IYHLHT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A2FFIBZIOJEEXWZ3UPU3IYHLHT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A2FFIBZIOJEEXWZ3UPU3IYHLHT","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":"6be20960944301b35c7570c555e9dc22e3a2aa62bb292e287af6522afa0bc0c7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-07-09T13:47:05Z","title_canon_sha256":"3c006d46aec22662d07d4d5bfe8f45829bf445a19a71a79f477253a80dec1b83"},"schema_version":"1.0","source":{"id":"2407.18921","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.18921","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"arxiv_version","alias_value":"2407.18921v2","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.18921","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"pith_short_12","alias_value":"A2FFIBZIOJEE","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"pith_short_16","alias_value":"A2FFIBZIOJEEXWZ3","created_at":"2026-07-05T10:35:34Z"},{"alias_kind":"pith_short_8","alias_value":"A2FFIBZI","created_at":"2026-07-05T10:35:34Z"}],"graph_snapshots":[{"event_id":"sha256:63b9249f20db0830be24f0fe406860c851404e695ef4c274aa3e4d26b29ee3bb","target":"graph","created_at":"2026-07-05T10:35:34Z","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/2407.18921/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"On-device large language models (LLMs), referring to running LLMs on edge devices, have raised considerable interest since they are more cost-effective, latency-efficient, and privacy-preserving compared with the cloud paradigm. Nonetheless, the performance of on-device LLMs is intrinsically constrained by resource limitations on edge devices. Sitting between cloud and on-device AI, mobile edge intelligence (MEI) presents a viable solution by provisioning AI capabilities at the edge of mobile networks, enabling end users to offload heavy AI computation to capable edge servers nearby. This arti","authors_text":"Guanqiao Qu, Kaibin Huang, Qiyuan Chen, Wei Wei, Xianhao Chen, Zheng Lin","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-07-09T13:47:05Z","title":"Mobile Edge Intelligence for Large Language Models: A Contemporary Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.18921","kind":"arxiv","version":2},"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":"sha256:874f506da75bc7fddde2149783c52e34708fc8605de4e1e1623000061fe1690e","target":"record","created_at":"2026-07-05T10:35:34Z","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":"6be20960944301b35c7570c555e9dc22e3a2aa62bb292e287af6522afa0bc0c7","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-07-09T13:47:05Z","title_canon_sha256":"3c006d46aec22662d07d4d5bfe8f45829bf445a19a71a79f477253a80dec1b83"},"schema_version":"1.0","source":{"id":"2407.18921","kind":"arxiv","version":2}},"canonical_sha256":"068a54072872484bdb3ba3e9b460eb3ccbe57822db6581b6d1144edd9a332468","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"068a54072872484bdb3ba3e9b460eb3ccbe57822db6581b6d1144edd9a332468","first_computed_at":"2026-07-05T10:35:34.977092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:35:34.977092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EopLWROXjyi45A05jYrrJMgi1iSAk5urJLdJCHP0faRH6GbS2tgyD+atqP7i6qN+kF9vj2JE2GYM3pJbpyR7Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:35:34.977589Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.18921","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:874f506da75bc7fddde2149783c52e34708fc8605de4e1e1623000061fe1690e","sha256:63b9249f20db0830be24f0fe406860c851404e695ef4c274aa3e4d26b29ee3bb"],"state_sha256":"8e9af5fbddeeeabab6230f5a1cc263afae9d5efef7d0610fdb75c36f983f9158"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8M4p00M3X/RQPg+LyYW9L6Aqh2xyyYRgQFLGeF+8TTs9d8UCPX4ICpe7GWBS8LsM8sQmExfWjk69Nz+LsMeBDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T04:02:56.829166Z","bundle_sha256":"390905f9be0f875ad0de367d2b58cf81f1540ac065944c70dff10a10eb60f318"}}