{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:I2KG4PVVZXXSY3XBB4YNH3S6EQ","short_pith_number":"pith:I2KG4PVV","canonical_record":{"source":{"id":"2311.03375","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-10-27T16:46:59Z","cross_cats_sorted":["cs.AI","cs.DC","cs.NI"],"title_canon_sha256":"972a96f06995c06cc7b3c7919d7e849c71182eaafe52df81edef465011c593ae","abstract_canon_sha256":"0adeb568c1fbc8f3b0e2c8f4aba10699e79408e7db4cbc5c30b1f96234b2fcd0"},"schema_version":"1.0"},"canonical_sha256":"46946e3eb5cdef2c6ee10f30d3ee5e24382b62eaa9142a508f8d858288cbf079","source":{"kind":"arxiv","id":"2311.03375","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.03375","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"arxiv_version","alias_value":"2311.03375v1","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.03375","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"pith_short_12","alias_value":"I2KG4PVVZXXS","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"pith_short_16","alias_value":"I2KG4PVVZXXSY3XB","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"pith_short_8","alias_value":"I2KG4PVV","created_at":"2026-07-05T07:09:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:I2KG4PVVZXXSY3XBB4YNH3S6EQ","target":"record","payload":{"canonical_record":{"source":{"id":"2311.03375","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-10-27T16:46:59Z","cross_cats_sorted":["cs.AI","cs.DC","cs.NI"],"title_canon_sha256":"972a96f06995c06cc7b3c7919d7e849c71182eaafe52df81edef465011c593ae","abstract_canon_sha256":"0adeb568c1fbc8f3b0e2c8f4aba10699e79408e7db4cbc5c30b1f96234b2fcd0"},"schema_version":"1.0"},"canonical_sha256":"46946e3eb5cdef2c6ee10f30d3ee5e24382b62eaa9142a508f8d858288cbf079","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:57.165990Z","signature_b64":"QeuTXVUmXadftyCnyJTJFRbYjpScORjk8TWZXAEPLbywEQCIgpOpV74VRd2hT/gcpUuJw4CAku6ZiT4gkfkiAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46946e3eb5cdef2c6ee10f30d3ee5e24382b62eaa9142a508f8d858288cbf079","last_reissued_at":"2026-07-05T07:09:57.165583Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:57.165583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.03375","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":"2026-07-05T07:09:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wUR6+hMS5Y8BPxykjyRqjDAws8UWWD5P8wMD48kVz3LaATX8jUnNA4Gc3KglqAyOLonn0BqklklIal47LP06DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:41:26.865578Z"},"content_sha256":"decd65817e21956962a49b28f9ca209c6f69770d0c57def99cde51b7397d5b43","schema_version":"1.0","event_id":"sha256:decd65817e21956962a49b28f9ca209c6f69770d0c57def99cde51b7397d5b43"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:I2KG4PVVZXXSY3XBB4YNH3S6EQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.DC","cs.NI"],"primary_cat":"cs.AR","authors_text":"Mallik Tatipamula, Mung Chiang, Roberto Morabito, Sasu Tarkoma","submitted_at":"2023-10-27T16:46:59Z","abstract_excerpt":"The network edge's role in Artificial Intelligence (AI) inference processing is rapidly expanding, driven by a plethora of applications seeking computational advantages. These applications strive for data-driven efficiency, leveraging robust AI capabilities and prioritizing real-time responsiveness. However, as demand grows, so does system complexity. The proliferation of AI inference accelerators showcases innovation but also underscores challenges, particularly the varied software and hardware configurations of these devices. This diversity, while advantageous for certain tasks, introduces h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.03375","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/2311.03375/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":"2026-07-05T07:09:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ENByrdIM1CXPjwE2aGUwfoO56aSxtDsH5Bn2PqWhyGtOioT8cc5Bj3j1XkEIyAjkwTMMAbh1ow7vRcG6NZcyDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:41:26.866569Z"},"content_sha256":"9c9eb6e831c768ff815f4d6e5516db280c2eac4d3c1cac5f6540a167681520aa","schema_version":"1.0","event_id":"sha256:9c9eb6e831c768ff815f4d6e5516db280c2eac4d3c1cac5f6540a167681520aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I2KG4PVVZXXSY3XBB4YNH3S6EQ/bundle.json","state_url":"https://pith.science/pith/I2KG4PVVZXXSY3XBB4YNH3S6EQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I2KG4PVVZXXSY3XBB4YNH3S6EQ/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":"2026-08-18T04:41:26Z","links":{"resolver":"https://pith.science/pith/I2KG4PVVZXXSY3XBB4YNH3S6EQ","bundle":"https://pith.science/pith/I2KG4PVVZXXSY3XBB4YNH3S6EQ/bundle.json","state":"https://pith.science/pith/I2KG4PVVZXXSY3XBB4YNH3S6EQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I2KG4PVVZXXSY3XBB4YNH3S6EQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:I2KG4PVVZXXSY3XBB4YNH3S6EQ","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":"0adeb568c1fbc8f3b0e2c8f4aba10699e79408e7db4cbc5c30b1f96234b2fcd0","cross_cats_sorted":["cs.AI","cs.DC","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-10-27T16:46:59Z","title_canon_sha256":"972a96f06995c06cc7b3c7919d7e849c71182eaafe52df81edef465011c593ae"},"schema_version":"1.0","source":{"id":"2311.03375","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.03375","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"arxiv_version","alias_value":"2311.03375v1","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.03375","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"pith_short_12","alias_value":"I2KG4PVVZXXS","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"pith_short_16","alias_value":"I2KG4PVVZXXSY3XB","created_at":"2026-07-05T07:09:57Z"},{"alias_kind":"pith_short_8","alias_value":"I2KG4PVV","created_at":"2026-07-05T07:09:57Z"}],"graph_snapshots":[{"event_id":"sha256:9c9eb6e831c768ff815f4d6e5516db280c2eac4d3c1cac5f6540a167681520aa","target":"graph","created_at":"2026-07-05T07:09:57Z","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/2311.03375/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The network edge's role in Artificial Intelligence (AI) inference processing is rapidly expanding, driven by a plethora of applications seeking computational advantages. These applications strive for data-driven efficiency, leveraging robust AI capabilities and prioritizing real-time responsiveness. However, as demand grows, so does system complexity. The proliferation of AI inference accelerators showcases innovation but also underscores challenges, particularly the varied software and hardware configurations of these devices. This diversity, while advantageous for certain tasks, introduces h","authors_text":"Mallik Tatipamula, Mung Chiang, Roberto Morabito, Sasu Tarkoma","cross_cats":["cs.AI","cs.DC","cs.NI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-10-27T16:46:59Z","title":"Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.03375","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:decd65817e21956962a49b28f9ca209c6f69770d0c57def99cde51b7397d5b43","target":"record","created_at":"2026-07-05T07:09:57Z","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":"0adeb568c1fbc8f3b0e2c8f4aba10699e79408e7db4cbc5c30b1f96234b2fcd0","cross_cats_sorted":["cs.AI","cs.DC","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-10-27T16:46:59Z","title_canon_sha256":"972a96f06995c06cc7b3c7919d7e849c71182eaafe52df81edef465011c593ae"},"schema_version":"1.0","source":{"id":"2311.03375","kind":"arxiv","version":1}},"canonical_sha256":"46946e3eb5cdef2c6ee10f30d3ee5e24382b62eaa9142a508f8d858288cbf079","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46946e3eb5cdef2c6ee10f30d3ee5e24382b62eaa9142a508f8d858288cbf079","first_computed_at":"2026-07-05T07:09:57.165583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:09:57.165583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QeuTXVUmXadftyCnyJTJFRbYjpScORjk8TWZXAEPLbywEQCIgpOpV74VRd2hT/gcpUuJw4CAku6ZiT4gkfkiAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:09:57.165990Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.03375","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:decd65817e21956962a49b28f9ca209c6f69770d0c57def99cde51b7397d5b43","sha256:9c9eb6e831c768ff815f4d6e5516db280c2eac4d3c1cac5f6540a167681520aa"],"state_sha256":"bda52e1f4f7d166ec41bd1ae0c58cb46efdf90412951c51f366f61dd474f06f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HLUs73XbFecLNheWlLwsYsrU9mzivlizuxZ4QUfbWsnOS8/DiVQLFjIAe6Sbq7pm1b0We9OAgUVid23+rfqeCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T04:41:26.873757Z","bundle_sha256":"2e27ca15494421df4ceda07e503d24023ad63690a8015bfa1079ebf05fba539e"}}