{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KQVUY2WOMCMIODHWNU7IXJZNVZ","short_pith_number":"pith:KQVUY2WO","canonical_record":{"source":{"id":"2606.27841","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T08:27:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"61690cfb9ef7caaedff8f6f368e6a2f9d4108dfe1094a407fd02a28ea9b1ad3a","abstract_canon_sha256":"0f0fc375ff42f13f7b1b65b1462cccd95651d2c3c5c4db1d7688c424c589bb56"},"schema_version":"1.0"},"canonical_sha256":"542b4c6ace6098870cf66d3e8ba72dae62676bd3fdb68ea7ed63107ca52b9291","source":{"kind":"arxiv","id":"2606.27841","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27841","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27841v1","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27841","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"pith_short_12","alias_value":"KQVUY2WOMCMI","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"pith_short_16","alias_value":"KQVUY2WOMCMIODHW","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"pith_short_8","alias_value":"KQVUY2WO","created_at":"2026-06-29T01:14:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KQVUY2WOMCMIODHWNU7IXJZNVZ","target":"record","payload":{"canonical_record":{"source":{"id":"2606.27841","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T08:27:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"61690cfb9ef7caaedff8f6f368e6a2f9d4108dfe1094a407fd02a28ea9b1ad3a","abstract_canon_sha256":"0f0fc375ff42f13f7b1b65b1462cccd95651d2c3c5c4db1d7688c424c589bb56"},"schema_version":"1.0"},"canonical_sha256":"542b4c6ace6098870cf66d3e8ba72dae62676bd3fdb68ea7ed63107ca52b9291","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:14:50.096670Z","signature_b64":"3BojnZPenYHPajvuB6m+6yPBxJxtBGKGbthmShkEPCjkJQiaEx9DJdnrVyFNkd7qeAS8VRHzH3B84uJE3P0wAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"542b4c6ace6098870cf66d3e8ba72dae62676bd3fdb68ea7ed63107ca52b9291","last_reissued_at":"2026-06-29T01:14:50.096253Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:14:50.096253Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.27841","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":"2026-06-29T01:14:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NTFsAcpTddbwr7BzSW9JWO1mLvWdRDxa2mItEjCgj+pKZFoKNb9Jr/SQwOPC2EdRtL6K+S2lqaKEDD2IXWekDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T15:41:04.338761Z"},"content_sha256":"e23e55f1a80a3fda2a43b9ad554b2d92aebcbda86a416b8fc16a95bca1f825f6","schema_version":"1.0","event_id":"sha256:e23e55f1a80a3fda2a43b9ad554b2d92aebcbda86a416b8fc16a95bca1f825f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KQVUY2WOMCMIODHWNU7IXJZNVZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Adrien Sardi, Fr\\'ed\\'eric Giroire, Joanna Moulierac, Marie-Line Alberi Morel, Sara Alouf","submitted_at":"2026-06-26T08:27:04Z","abstract_excerpt":"The widespread adoption of Artificial Intelligence (AI) has led to increasing concerns about energy consumption, yet there is a lack of standardized methodologies to accurately estimate AI inference energy consumption, particularly across various tasks and architectures. In this study, we propose a task independent, layer-wise energy estimation model for AI architectures. Our model is evaluated on a large dataset of more than 100,000 layers for 295 neural network architectures across 3 widely-used tasks and 3 distinct hardware platforms. Our approach achieves a median error of 19.6%, outperfor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27841","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/2606.27841/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":"2026-06-29T01:14:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WmAhCHS/i9aIKAGq0s8Mxl6GKgqv9OMmPSP4RkZVtpxjc70MSWSbP/cXe+6v2Is8PL/R89iceX1dq9q64gXFAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T15:41:04.339132Z"},"content_sha256":"c34dc48d86d1dd2ef78983b88c8ab4b7f7d9daea62e46d1476ed06e1cf43336f","schema_version":"1.0","event_id":"sha256:c34dc48d86d1dd2ef78983b88c8ab4b7f7d9daea62e46d1476ed06e1cf43336f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KQVUY2WOMCMIODHWNU7IXJZNVZ/bundle.json","state_url":"https://pith.science/pith/KQVUY2WOMCMIODHWNU7IXJZNVZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KQVUY2WOMCMIODHWNU7IXJZNVZ/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":"2026-06-29T15:41:04Z","links":{"resolver":"https://pith.science/pith/KQVUY2WOMCMIODHWNU7IXJZNVZ","bundle":"https://pith.science/pith/KQVUY2WOMCMIODHWNU7IXJZNVZ/bundle.json","state":"https://pith.science/pith/KQVUY2WOMCMIODHWNU7IXJZNVZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KQVUY2WOMCMIODHWNU7IXJZNVZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KQVUY2WOMCMIODHWNU7IXJZNVZ","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":"0f0fc375ff42f13f7b1b65b1462cccd95651d2c3c5c4db1d7688c424c589bb56","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T08:27:04Z","title_canon_sha256":"61690cfb9ef7caaedff8f6f368e6a2f9d4108dfe1094a407fd02a28ea9b1ad3a"},"schema_version":"1.0","source":{"id":"2606.27841","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27841","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27841v1","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27841","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"pith_short_12","alias_value":"KQVUY2WOMCMI","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"pith_short_16","alias_value":"KQVUY2WOMCMIODHW","created_at":"2026-06-29T01:14:50Z"},{"alias_kind":"pith_short_8","alias_value":"KQVUY2WO","created_at":"2026-06-29T01:14:50Z"}],"graph_snapshots":[{"event_id":"sha256:c34dc48d86d1dd2ef78983b88c8ab4b7f7d9daea62e46d1476ed06e1cf43336f","target":"graph","created_at":"2026-06-29T01:14:50Z","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/2606.27841/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The widespread adoption of Artificial Intelligence (AI) has led to increasing concerns about energy consumption, yet there is a lack of standardized methodologies to accurately estimate AI inference energy consumption, particularly across various tasks and architectures. In this study, we propose a task independent, layer-wise energy estimation model for AI architectures. Our model is evaluated on a large dataset of more than 100,000 layers for 295 neural network architectures across 3 widely-used tasks and 3 distinct hardware platforms. Our approach achieves a median error of 19.6%, outperfor","authors_text":"Adrien Sardi, Fr\\'ed\\'eric Giroire, Joanna Moulierac, Marie-Line Alberi Morel, Sara Alouf","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T08:27:04Z","title":"WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27841","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:e23e55f1a80a3fda2a43b9ad554b2d92aebcbda86a416b8fc16a95bca1f825f6","target":"record","created_at":"2026-06-29T01:14:50Z","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":"0f0fc375ff42f13f7b1b65b1462cccd95651d2c3c5c4db1d7688c424c589bb56","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T08:27:04Z","title_canon_sha256":"61690cfb9ef7caaedff8f6f368e6a2f9d4108dfe1094a407fd02a28ea9b1ad3a"},"schema_version":"1.0","source":{"id":"2606.27841","kind":"arxiv","version":1}},"canonical_sha256":"542b4c6ace6098870cf66d3e8ba72dae62676bd3fdb68ea7ed63107ca52b9291","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"542b4c6ace6098870cf66d3e8ba72dae62676bd3fdb68ea7ed63107ca52b9291","first_computed_at":"2026-06-29T01:14:50.096253Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:14:50.096253Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3BojnZPenYHPajvuB6m+6yPBxJxtBGKGbthmShkEPCjkJQiaEx9DJdnrVyFNkd7qeAS8VRHzH3B84uJE3P0wAg==","signature_status":"signed_v1","signed_at":"2026-06-29T01:14:50.096670Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27841","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e23e55f1a80a3fda2a43b9ad554b2d92aebcbda86a416b8fc16a95bca1f825f6","sha256:c34dc48d86d1dd2ef78983b88c8ab4b7f7d9daea62e46d1476ed06e1cf43336f"],"state_sha256":"4722ba44c47f2df5f1fd7e7c68327373d1804a769ffd60685578832bd2a7dcf0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gsIr4JQhg7/Ubr5f9NYd0sS+UyId4dRq/ppEECHRoxmjk6wy7CZxH7ySg/uhewHLlLkNBfvyBz6aMTSm5ha7Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T15:41:04.341034Z","bundle_sha256":"775fb91ccbe8ca03abf7f276d3d4a24e07d3b39b1ffb5a7eb31630db920c06f7"}}