{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JXQPBWWDMD5B27EN7BTUSKH7SZ","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":"c6770c35c55a0ef4988cba7886b87eb930d972b9766e082eb105e1d7a8fb3dba","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-05-15T12:21:17Z","title_canon_sha256":"f1204a5350e77a4fa654060692f4a0d5b9cf88ec13c60d9d64c13bb2b3e85147"},"schema_version":"1.0","source":{"id":"2605.15890","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15890","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15890v1","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15890","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"pith_short_12","alias_value":"JXQPBWWDMD5B","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"pith_short_16","alias_value":"JXQPBWWDMD5B27EN","created_at":"2026-05-20T00:01:23Z"},{"alias_kind":"pith_short_8","alias_value":"JXQPBWWD","created_at":"2026-05-20T00:01:23Z"}],"graph_snapshots":[{"event_id":"sha256:16f045a07f6ace87b028b968e4ed5f0296fe31c56bb7bd3c0cca8837bfa51d40","target":"graph","created_at":"2026-05-20T00:01:23Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T17:33:47.520420Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.784452Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15890/integrity.json","findings":[],"snapshot_sha256":"ae9f817bf0112e29e1117ab964a85804d23d96ce84a58c3378513a9fb0cf2b13","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a communication-efficient optimally structured gradient coding scheme to jointly address straggler resilience and communication efficiency in heterogeneous distributed learning. By establishing a unified framework that simultaneously optimizes gradient coding and quantization, we formulate an optimization problem to minimize residual error subject to an unbiasedness constraint. We rigorously establish the joint global optimum by deriving a closed-form code structure coupled with an optimal bit allocation strategy, while simultaneously proposing a low-complexity bit allocation algori","authors_text":"Heekang Song, Wan Choi","cross_cats":["cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-05-15T12:21:17Z","title":"Communication-Efficient Approximate Gradient Coding for Distributed Learning in Heterogeneous Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15890","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:e9329ffa26775373e24d69329c62d00fcf5f93dc9652daffb26f5dae927d62f6","target":"record","created_at":"2026-05-20T00:01:23Z","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":"c6770c35c55a0ef4988cba7886b87eb930d972b9766e082eb105e1d7a8fb3dba","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-05-15T12:21:17Z","title_canon_sha256":"f1204a5350e77a4fa654060692f4a0d5b9cf88ec13c60d9d64c13bb2b3e85147"},"schema_version":"1.0","source":{"id":"2605.15890","kind":"arxiv","version":1}},"canonical_sha256":"4de0f0dac360fa1d7c8df8674928ff964745e86fbe5127dc3ebdc2a79da69919","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4de0f0dac360fa1d7c8df8674928ff964745e86fbe5127dc3ebdc2a79da69919","first_computed_at":"2026-05-20T00:01:23.957475Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:23.957475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ksXYsgBQ8bnNG20ntOqUdOvdwh/Adx2Dwvl6EmFkKg9B4soJz4RO2UYSjYNrR8rXsnirJmtX0XpVVG44DiYgDw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:23.958294Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15890","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9329ffa26775373e24d69329c62d00fcf5f93dc9652daffb26f5dae927d62f6","sha256:16f045a07f6ace87b028b968e4ed5f0296fe31c56bb7bd3c0cca8837bfa51d40"],"state_sha256":"30aa713523ea571d66658f5f3630f19364d297a4f2ee66363d51a42ec3745136"}