{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:VFKFP6RTEM56M5HONESBX5LQ74","short_pith_number":"pith:VFKFP6RT","canonical_record":{"source":{"id":"1910.03103","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-07T21:45:17Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"c3e13d42256177e22c95f10fad385aeb86619370f534fdfae67215a0567cd7c5","abstract_canon_sha256":"612a5c3bd1b78490855915e004e1adc65cdbcab6244f2071b8689a65ec2e1f33"},"schema_version":"1.0"},"canonical_sha256":"a95457fa33233be674ee69241bf570ff120752b8ee3c3b88ace6d5faad058e43","source":{"kind":"arxiv","id":"1910.03103","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.03103","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"arxiv_version","alias_value":"1910.03103v3","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.03103","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"pith_short_12","alias_value":"VFKFP6RTEM56","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"pith_short_16","alias_value":"VFKFP6RTEM56M5HO","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"pith_short_8","alias_value":"VFKFP6RT","created_at":"2026-07-05T01:17:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:VFKFP6RTEM56M5HONESBX5LQ74","target":"record","payload":{"canonical_record":{"source":{"id":"1910.03103","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-07T21:45:17Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"c3e13d42256177e22c95f10fad385aeb86619370f534fdfae67215a0567cd7c5","abstract_canon_sha256":"612a5c3bd1b78490855915e004e1adc65cdbcab6244f2071b8689a65ec2e1f33"},"schema_version":"1.0"},"canonical_sha256":"a95457fa33233be674ee69241bf570ff120752b8ee3c3b88ace6d5faad058e43","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:17:24.988554Z","signature_b64":"zI7YyDPfrE0iu8fKkcapRhVlumg6yVBotS5nYCewkEx5nB4Am7dxNL122jgjlJZTEU/NIE/4LPpRGv+6khqbBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a95457fa33233be674ee69241bf570ff120752b8ee3c3b88ace6d5faad058e43","last_reissued_at":"2026-07-05T01:17:24.988075Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:17:24.988075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.03103","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:17:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/sPGt8ieDw4rRzq6wxlw/7UQ8Z882eVTbzOu4tS21oAXaBciB0fqQOAuKMdP54MxsLFl9CR9MNDwHh8jSOROAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:51:40.424426Z"},"content_sha256":"210489063ca425f5f8603e3e8f4cc2f99496aa810f141b413f06b55f0fa2b06b","schema_version":"1.0","event_id":"sha256:210489063ca425f5f8603e3e8f4cc2f99496aa810f141b413f06b55f0fa2b06b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:VFKFP6RTEM56M5HONESBX5LQ74","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dilin Wang, Lemeng Wu, Meng Li, Qiang Liu, Vikas Chandra","submitted_at":"2019-10-07T21:45:17Z","abstract_excerpt":"Designing energy-efficient networks is of critical importance for enabling state-of-the-art deep learning in mobile and edge settings where the computation and energy budgets are highly limited. Recently, Liu et al. (2019) framed the search of efficient neural architectures into a continuous splitting process: it iteratively splits existing neurons into multiple off-springs to achieve progressive loss minimization, thus finding novel architectures by gradually growing the neural network. However, this method was not specifically tailored for designing energy-efficient networks, and is computat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.03103","kind":"arxiv","version":3},"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/1910.03103/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":"2026-07-05T01:17:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0/7pCxHI5O8R262gkw2USJH0QACnItLxVS0F3mgMXLRVGIdywzWWm8BlO7S4PQsBJMS1EMaEgwBulRYjeenyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:51:40.425122Z"},"content_sha256":"53d172c181bbc7ee6064bf4664b13770813654bfdc81310e547e33997ab527f6","schema_version":"1.0","event_id":"sha256:53d172c181bbc7ee6064bf4664b13770813654bfdc81310e547e33997ab527f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VFKFP6RTEM56M5HONESBX5LQ74/bundle.json","state_url":"https://pith.science/pith/VFKFP6RTEM56M5HONESBX5LQ74/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VFKFP6RTEM56M5HONESBX5LQ74/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":"2026-08-18T11:51:40Z","links":{"resolver":"https://pith.science/pith/VFKFP6RTEM56M5HONESBX5LQ74","bundle":"https://pith.science/pith/VFKFP6RTEM56M5HONESBX5LQ74/bundle.json","state":"https://pith.science/pith/VFKFP6RTEM56M5HONESBX5LQ74/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VFKFP6RTEM56M5HONESBX5LQ74/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:VFKFP6RTEM56M5HONESBX5LQ74","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":"612a5c3bd1b78490855915e004e1adc65cdbcab6244f2071b8689a65ec2e1f33","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-07T21:45:17Z","title_canon_sha256":"c3e13d42256177e22c95f10fad385aeb86619370f534fdfae67215a0567cd7c5"},"schema_version":"1.0","source":{"id":"1910.03103","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.03103","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"arxiv_version","alias_value":"1910.03103v3","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.03103","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"pith_short_12","alias_value":"VFKFP6RTEM56","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"pith_short_16","alias_value":"VFKFP6RTEM56M5HO","created_at":"2026-07-05T01:17:24Z"},{"alias_kind":"pith_short_8","alias_value":"VFKFP6RT","created_at":"2026-07-05T01:17:24Z"}],"graph_snapshots":[{"event_id":"sha256:53d172c181bbc7ee6064bf4664b13770813654bfdc81310e547e33997ab527f6","target":"graph","created_at":"2026-07-05T01:17:24Z","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/1910.03103/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Designing energy-efficient networks is of critical importance for enabling state-of-the-art deep learning in mobile and edge settings where the computation and energy budgets are highly limited. Recently, Liu et al. (2019) framed the search of efficient neural architectures into a continuous splitting process: it iteratively splits existing neurons into multiple off-springs to achieve progressive loss minimization, thus finding novel architectures by gradually growing the neural network. However, this method was not specifically tailored for designing energy-efficient networks, and is computat","authors_text":"Dilin Wang, Lemeng Wu, Meng Li, Qiang Liu, Vikas Chandra","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-07T21:45:17Z","title":"Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.03103","kind":"arxiv","version":3},"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":"sha256:210489063ca425f5f8603e3e8f4cc2f99496aa810f141b413f06b55f0fa2b06b","target":"record","created_at":"2026-07-05T01:17:24Z","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":"612a5c3bd1b78490855915e004e1adc65cdbcab6244f2071b8689a65ec2e1f33","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-10-07T21:45:17Z","title_canon_sha256":"c3e13d42256177e22c95f10fad385aeb86619370f534fdfae67215a0567cd7c5"},"schema_version":"1.0","source":{"id":"1910.03103","kind":"arxiv","version":3}},"canonical_sha256":"a95457fa33233be674ee69241bf570ff120752b8ee3c3b88ace6d5faad058e43","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a95457fa33233be674ee69241bf570ff120752b8ee3c3b88ace6d5faad058e43","first_computed_at":"2026-07-05T01:17:24.988075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:17:24.988075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zI7YyDPfrE0iu8fKkcapRhVlumg6yVBotS5nYCewkEx5nB4Am7dxNL122jgjlJZTEU/NIE/4LPpRGv+6khqbBw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:17:24.988554Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.03103","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:210489063ca425f5f8603e3e8f4cc2f99496aa810f141b413f06b55f0fa2b06b","sha256:53d172c181bbc7ee6064bf4664b13770813654bfdc81310e547e33997ab527f6"],"state_sha256":"70a6092dce529c99dd7de91dbee5bca3c69cf780e06819a6e9171844993ca619"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jjp4SyPDp8QOQbACI5zTmmroY2L5psOJNBJLezqRT6IJRX2TZfe/J8BbvaFu9z+WPyVUmYbaQy94LWVoy1b5BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T11:51:40.440547Z","bundle_sha256":"635d8f4369bbd5ef8b068e225512ded6a578df6a423c9bab9f75aaa5e7b953e9"}}