{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BZO2S7W4DW7UT3N762WKDDDNVM","short_pith_number":"pith:BZO2S7W4","canonical_record":{"source":{"id":"2508.09163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T16:45:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"615c6af2a206f89dd37b649e481ef6360f269503e8fd05bd6e59f0418099c1da","abstract_canon_sha256":"b66df99ce885b82d9f97b3f39dd90365f074449980cc40202eee5ca1d6549545"},"schema_version":"1.0"},"canonical_sha256":"0e5da97edc1dbf49edbff6aca18c6dab064716643ba8820097b0d0f13b6e0bcd","source":{"kind":"arxiv","id":"2508.09163","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.09163","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"arxiv_version","alias_value":"2508.09163v1","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.09163","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"pith_short_12","alias_value":"BZO2S7W4DW7U","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"pith_short_16","alias_value":"BZO2S7W4DW7UT3N7","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"pith_short_8","alias_value":"BZO2S7W4","created_at":"2026-07-05T11:53:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BZO2S7W4DW7UT3N762WKDDDNVM","target":"record","payload":{"canonical_record":{"source":{"id":"2508.09163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T16:45:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"615c6af2a206f89dd37b649e481ef6360f269503e8fd05bd6e59f0418099c1da","abstract_canon_sha256":"b66df99ce885b82d9f97b3f39dd90365f074449980cc40202eee5ca1d6549545"},"schema_version":"1.0"},"canonical_sha256":"0e5da97edc1dbf49edbff6aca18c6dab064716643ba8820097b0d0f13b6e0bcd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:53:09.096519Z","signature_b64":"yVhbGaEl+Ysy1VxhVkgvdnrX0K1VKyNOVgL6QYqi20/liSh5qeenoKE6JBDSUjIBTPHHXkf9O7BV1/v7336RBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e5da97edc1dbf49edbff6aca18c6dab064716643ba8820097b0d0f13b6e0bcd","last_reissued_at":"2026-07-05T11:53:09.095970Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:53:09.095970Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.09163","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":"2026-07-05T11:53:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Om2adcRL4U0GLMG5xxTDu3s8/7HDUVIyHL1Z61k8ozC0pVrn7iODKmm9cqDaoZshUar1f2yOboUEZNLyYsqwBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:06:09.491866Z"},"content_sha256":"38937763ade5402a2b5ad9333864a16a4440181959251ff88c254dbf9338f31c","schema_version":"1.0","event_id":"sha256:38937763ade5402a2b5ad9333864a16a4440181959251ff88c254dbf9338f31c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BZO2S7W4DW7UT3N762WKDDDNVM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Fabrizio Lombardi, Farzad Niknia, Javier Conde, Pedro Reviriego, Shanshan Liu, Zhen Gao, Ziheng Wang","submitted_at":"2025-08-05T16:45:24Z","abstract_excerpt":"Stochastic computing (SC) has emerged as an efficient low-power alternative for deploying neural networks (NNs) in resource-limited scenarios, such as the Internet of Things (IoT). By encoding values as serial bitstreams, SC significantly reduces energy dissipation compared to conventional floating-point (FP) designs; however, further improvement of layer-wise mixed-precision implementation for SC remains unexplored. This article introduces Adjustable Sequence Length (ASL), a novel scheme that applies mixed-precision concepts specifically to SC NNs. By introducing an operator-norm-based theore"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.09163","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/2508.09163/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":"2026-07-05T11:53:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v3RnQCqjI5sSAKWt37YVSOrSoO3NPUbEHSkyT4dAVJ49uSeE3AL6PgNhDVcneJ/DeKwK+YUuq0Jgv29489LRBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T04:06:09.514844Z"},"content_sha256":"90af26e212c85a517be8afb9b22c375590c4576c8318a8388cdced751684e065","schema_version":"1.0","event_id":"sha256:90af26e212c85a517be8afb9b22c375590c4576c8318a8388cdced751684e065"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BZO2S7W4DW7UT3N762WKDDDNVM/bundle.json","state_url":"https://pith.science/pith/BZO2S7W4DW7UT3N762WKDDDNVM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BZO2S7W4DW7UT3N762WKDDDNVM/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":"2026-08-07T04:06:09Z","links":{"resolver":"https://pith.science/pith/BZO2S7W4DW7UT3N762WKDDDNVM","bundle":"https://pith.science/pith/BZO2S7W4DW7UT3N762WKDDDNVM/bundle.json","state":"https://pith.science/pith/BZO2S7W4DW7UT3N762WKDDDNVM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BZO2S7W4DW7UT3N762WKDDDNVM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BZO2S7W4DW7UT3N762WKDDDNVM","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":"b66df99ce885b82d9f97b3f39dd90365f074449980cc40202eee5ca1d6549545","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T16:45:24Z","title_canon_sha256":"615c6af2a206f89dd37b649e481ef6360f269503e8fd05bd6e59f0418099c1da"},"schema_version":"1.0","source":{"id":"2508.09163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.09163","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"arxiv_version","alias_value":"2508.09163v1","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.09163","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"pith_short_12","alias_value":"BZO2S7W4DW7U","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"pith_short_16","alias_value":"BZO2S7W4DW7UT3N7","created_at":"2026-07-05T11:53:09Z"},{"alias_kind":"pith_short_8","alias_value":"BZO2S7W4","created_at":"2026-07-05T11:53:09Z"}],"graph_snapshots":[{"event_id":"sha256:90af26e212c85a517be8afb9b22c375590c4576c8318a8388cdced751684e065","target":"graph","created_at":"2026-07-05T11:53:09Z","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/2508.09163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stochastic computing (SC) has emerged as an efficient low-power alternative for deploying neural networks (NNs) in resource-limited scenarios, such as the Internet of Things (IoT). By encoding values as serial bitstreams, SC significantly reduces energy dissipation compared to conventional floating-point (FP) designs; however, further improvement of layer-wise mixed-precision implementation for SC remains unexplored. This article introduces Adjustable Sequence Length (ASL), a novel scheme that applies mixed-precision concepts specifically to SC NNs. By introducing an operator-norm-based theore","authors_text":"Fabrizio Lombardi, Farzad Niknia, Javier Conde, Pedro Reviriego, Shanshan Liu, Zhen Gao, Ziheng Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T16:45:24Z","title":"Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.09163","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":"sha256:38937763ade5402a2b5ad9333864a16a4440181959251ff88c254dbf9338f31c","target":"record","created_at":"2026-07-05T11:53:09Z","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":"b66df99ce885b82d9f97b3f39dd90365f074449980cc40202eee5ca1d6549545","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-05T16:45:24Z","title_canon_sha256":"615c6af2a206f89dd37b649e481ef6360f269503e8fd05bd6e59f0418099c1da"},"schema_version":"1.0","source":{"id":"2508.09163","kind":"arxiv","version":1}},"canonical_sha256":"0e5da97edc1dbf49edbff6aca18c6dab064716643ba8820097b0d0f13b6e0bcd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e5da97edc1dbf49edbff6aca18c6dab064716643ba8820097b0d0f13b6e0bcd","first_computed_at":"2026-07-05T11:53:09.095970Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:09.095970Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yVhbGaEl+Ysy1VxhVkgvdnrX0K1VKyNOVgL6QYqi20/liSh5qeenoKE6JBDSUjIBTPHHXkf9O7BV1/v7336RBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:09.096519Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.09163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38937763ade5402a2b5ad9333864a16a4440181959251ff88c254dbf9338f31c","sha256:90af26e212c85a517be8afb9b22c375590c4576c8318a8388cdced751684e065"],"state_sha256":"729de2dd7a79f5dbbe9b1359fc4523b894d6a5980d4b7049c0522d7b9d3da26b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"se34gLQM5acDyzxRjEO/DXSTXIezEW54JJYvpYNUvpcgfh2zbknuc6hZutkCf6kYxAuGomOwir48unGC5myJDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T04:06:09.667604Z","bundle_sha256":"1b207340c8a6778c87ccf9aee9a3bbc7f16563fafaa6e73f4c3144fca48a8890"}}