{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2TYNQUL7OFZRIDPKG23HKJNL2A","short_pith_number":"pith:2TYNQUL7","canonical_record":{"source":{"id":"2411.16086","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-11-25T04:40:42Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f65e393e545189673b614e003d6732ebb02783d78cabd78e557dd8b9da8eb442","abstract_canon_sha256":"0aea07ec9424eaac29b2a51f45ca9418fbfc26e7e36f61e70e10557ddc22f7d2"},"schema_version":"1.0"},"canonical_sha256":"d4f0d8517f7173140dea36b67525abd032e4d0dd87644b5aafaf67755b0a457b","source":{"kind":"arxiv","id":"2411.16086","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16086","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16086v1","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16086","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"2TYNQUL7OFZR","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_16","alias_value":"2TYNQUL7OFZRIDPK","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_8","alias_value":"2TYNQUL7","created_at":"2026-07-05T09:40:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2TYNQUL7OFZRIDPKG23HKJNL2A","target":"record","payload":{"canonical_record":{"source":{"id":"2411.16086","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-11-25T04:40:42Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f65e393e545189673b614e003d6732ebb02783d78cabd78e557dd8b9da8eb442","abstract_canon_sha256":"0aea07ec9424eaac29b2a51f45ca9418fbfc26e7e36f61e70e10557ddc22f7d2"},"schema_version":"1.0"},"canonical_sha256":"d4f0d8517f7173140dea36b67525abd032e4d0dd87644b5aafaf67755b0a457b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:03.755515Z","signature_b64":"ubyShezKOZtRgNQbQ2M4lm5QNB0FtC1Hhdney7Eqyfjwzmu//TsJ7RE2b1/sWrWJdE4fyFHgiegucvkPUi4aBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4f0d8517f7173140dea36b67525abd032e4d0dd87644b5aafaf67755b0a457b","last_reissued_at":"2026-07-05T09:40:03.754982Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:03.754982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.16086","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":"2026-07-05T09:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lR1FyHDDzWGYWy/Iphjct8TKp77/oPgd36rIqUFGNDR5neBsNx3BTDRngNITWTGEh5cvHe0eaXKUltbMi7omBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T23:17:27.208920Z"},"content_sha256":"d44ed67b3ea29d7ee9c1d9dd1ab06715cddd3220fd294163fe07e633cac2f3bf","schema_version":"1.0","event_id":"sha256:d44ed67b3ea29d7ee9c1d9dd1ab06715cddd3220fd294163fe07e633cac2f3bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2TYNQUL7OFZRIDPKG23HKJNL2A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.DC","authors_text":"Aman Vyas, Anil Kanduri, Antonio Miele, Pasi Liljeberg, Zain Taufique","submitted_at":"2024-11-25T04:40:42Z","abstract_excerpt":"Edge inference techniques partition and distribute Deep Neural Network (DNN) inference tasks among multiple edge nodes for low latency inference, without considering the core-level heterogeneity of edge nodes. Further, default DNN inference frameworks also do not fully utilize the resources of heterogeneous edge nodes, resulting in higher inference latency. In this work, we propose a hierarchical DNN partitioning strategy (HiDP) for distributed inference on heterogeneous edge nodes. Our strategy hierarchically partitions DNN workloads at both global and local levels by considering the core-lev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16086","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/2411.16086/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":"2026-07-05T09:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iTgV0jpvUxRRSbiZHtcogUnZftVTAoVInr4WQwYkDEx3WX3XINrBTK4XlT+q1QREd6VtBMIKZc0OsbO+T3tABw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T23:17:27.209420Z"},"content_sha256":"dde3d34a877bad0fcd2b51b5b2a62ffcee3d7cf6a02bd149cd3528b042019aad","schema_version":"1.0","event_id":"sha256:dde3d34a877bad0fcd2b51b5b2a62ffcee3d7cf6a02bd149cd3528b042019aad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2TYNQUL7OFZRIDPKG23HKJNL2A/bundle.json","state_url":"https://pith.science/pith/2TYNQUL7OFZRIDPKG23HKJNL2A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2TYNQUL7OFZRIDPKG23HKJNL2A/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":"2026-08-12T23:17:27Z","links":{"resolver":"https://pith.science/pith/2TYNQUL7OFZRIDPKG23HKJNL2A","bundle":"https://pith.science/pith/2TYNQUL7OFZRIDPKG23HKJNL2A/bundle.json","state":"https://pith.science/pith/2TYNQUL7OFZRIDPKG23HKJNL2A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2TYNQUL7OFZRIDPKG23HKJNL2A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2TYNQUL7OFZRIDPKG23HKJNL2A","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":"0aea07ec9424eaac29b2a51f45ca9418fbfc26e7e36f61e70e10557ddc22f7d2","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-11-25T04:40:42Z","title_canon_sha256":"f65e393e545189673b614e003d6732ebb02783d78cabd78e557dd8b9da8eb442"},"schema_version":"1.0","source":{"id":"2411.16086","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16086","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16086v1","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16086","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"2TYNQUL7OFZR","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_16","alias_value":"2TYNQUL7OFZRIDPK","created_at":"2026-07-05T09:40:03Z"},{"alias_kind":"pith_short_8","alias_value":"2TYNQUL7","created_at":"2026-07-05T09:40:03Z"}],"graph_snapshots":[{"event_id":"sha256:dde3d34a877bad0fcd2b51b5b2a62ffcee3d7cf6a02bd149cd3528b042019aad","target":"graph","created_at":"2026-07-05T09:40:03Z","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/2411.16086/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Edge inference techniques partition and distribute Deep Neural Network (DNN) inference tasks among multiple edge nodes for low latency inference, without considering the core-level heterogeneity of edge nodes. Further, default DNN inference frameworks also do not fully utilize the resources of heterogeneous edge nodes, resulting in higher inference latency. In this work, we propose a hierarchical DNN partitioning strategy (HiDP) for distributed inference on heterogeneous edge nodes. Our strategy hierarchically partitions DNN workloads at both global and local levels by considering the core-lev","authors_text":"Aman Vyas, Anil Kanduri, Antonio Miele, Pasi Liljeberg, Zain Taufique","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-11-25T04:40:42Z","title":"HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16086","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:d44ed67b3ea29d7ee9c1d9dd1ab06715cddd3220fd294163fe07e633cac2f3bf","target":"record","created_at":"2026-07-05T09:40:03Z","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":"0aea07ec9424eaac29b2a51f45ca9418fbfc26e7e36f61e70e10557ddc22f7d2","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-11-25T04:40:42Z","title_canon_sha256":"f65e393e545189673b614e003d6732ebb02783d78cabd78e557dd8b9da8eb442"},"schema_version":"1.0","source":{"id":"2411.16086","kind":"arxiv","version":1}},"canonical_sha256":"d4f0d8517f7173140dea36b67525abd032e4d0dd87644b5aafaf67755b0a457b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4f0d8517f7173140dea36b67525abd032e4d0dd87644b5aafaf67755b0a457b","first_computed_at":"2026-07-05T09:40:03.754982Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:03.754982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ubyShezKOZtRgNQbQ2M4lm5QNB0FtC1Hhdney7Eqyfjwzmu//TsJ7RE2b1/sWrWJdE4fyFHgiegucvkPUi4aBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:03.755515Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16086","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d44ed67b3ea29d7ee9c1d9dd1ab06715cddd3220fd294163fe07e633cac2f3bf","sha256:dde3d34a877bad0fcd2b51b5b2a62ffcee3d7cf6a02bd149cd3528b042019aad"],"state_sha256":"88dd3fec37140f91a547f813684d6c0e2063734f949f9d38a0ecf3a08beb6ac5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BREu1BljBO5mL+xYmzRVH8coO1fGnvEvdvm6pTGkDsBsBQX+JV0Uaf+8LUwU8BtZCuHD6ESRJfjP2+R8dBSgAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T23:17:27.214085Z","bundle_sha256":"8b0650e728115d2f693263b7f6948687952609ab55fb884b6d6528ce3e73461d"}}