{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:I5XJRELSLLMIUBOHZIVL6WA7EJ","short_pith_number":"pith:I5XJRELS","canonical_record":{"source":{"id":"2608.01997","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T09:57:50Z","cross_cats_sorted":[],"title_canon_sha256":"b080d317955a1190699c5c5594f00e9bf5f7b95c4dc90550ab222cf1e2fb5156","abstract_canon_sha256":"c083c99139c3756c2b99159be39679c33d64e43d584d909135f85b418beea94a"},"schema_version":"1.0"},"canonical_sha256":"476e9891725ad88a05c7ca2abf581f227935a90b5d10eee3357ad722c60a5de4","source":{"kind":"arxiv","id":"2608.01997","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01997","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01997v1","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01997","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"pith_short_12","alias_value":"I5XJRELSLLMI","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"pith_short_16","alias_value":"I5XJRELSLLMIUBOH","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"pith_short_8","alias_value":"I5XJRELS","created_at":"2026-08-04T02:10:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:I5XJRELSLLMIUBOHZIVL6WA7EJ","target":"record","payload":{"canonical_record":{"source":{"id":"2608.01997","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T09:57:50Z","cross_cats_sorted":[],"title_canon_sha256":"b080d317955a1190699c5c5594f00e9bf5f7b95c4dc90550ab222cf1e2fb5156","abstract_canon_sha256":"c083c99139c3756c2b99159be39679c33d64e43d584d909135f85b418beea94a"},"schema_version":"1.0"},"canonical_sha256":"476e9891725ad88a05c7ca2abf581f227935a90b5d10eee3357ad722c60a5de4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:10:27.790405Z","signature_b64":"Si+AiicSYr5JXQ5muX9uCpy9N3jJ2NDMfxWUsEKk20KbEmq0XlbUBmn2Nzet351j+XSDHutoeUkBiLoIvhK0CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"476e9891725ad88a05c7ca2abf581f227935a90b5d10eee3357ad722c60a5de4","last_reissued_at":"2026-08-04T02:10:27.788797Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:10:27.788797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.01997","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":"2026-08-04T02:10:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hstW8RAxbS3O+HXt6mNWEet+TXkYUzkaXLS4Hbwjc5TgzDVRBzn+6mL7EM4uWVNWUC14x5eUivziBGcHSPONAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:42:05.072812Z"},"content_sha256":"8ecdb0a0965bb1f0dacd08193a79f5d2aa2d40ec1389c4de03c3327979fc23ad","schema_version":"1.0","event_id":"sha256:8ecdb0a0965bb1f0dacd08193a79f5d2aa2d40ec1389c4de03c3327979fc23ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:I5XJRELSLLMIUBOHZIVL6WA7EJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Aatish Rana, Alok Kumar Pandey, Gopi Krishna Nedanuri, Umang Chaturvedi","submitted_at":"2026-08-03T09:57:50Z","abstract_excerpt":"Single-optimizer training is a poor fit for the distinct phases of deep network optimization: adaptive methods handle noisy early gradients well but overshoot flat minima, while SGD with momentum generalizes better in the late phase but converges slowly early on.\n  We introduce AOS-R (Adaptive Optimizer Switching, Rule-Based), a lightweight controller that monitors six online gradient-space signals -- gradient noise scale (GNS), Hutchinson curvature trace, loss stagnation, update stability ratio, gradient stability index (GSI), and loss improvement ratio (LIR) -- and switches among AdamW, SGD-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01997","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/2608.01997/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":"2026-08-04T02:10:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XOM+BUTrl4CQRN7tAxyjmRxZsUXTMkIWUVDdQLeWKAplL/Af+4GaJKTxr8LkETaS3f2WAZYm0L3+igkyh/uVAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:42:05.073694Z"},"content_sha256":"eecc24736b54d179d2b3cfab5cc94f521d1dc35b0d96f0a6ee48afb8aae8f805","schema_version":"1.0","event_id":"sha256:eecc24736b54d179d2b3cfab5cc94f521d1dc35b0d96f0a6ee48afb8aae8f805"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I5XJRELSLLMIUBOHZIVL6WA7EJ/bundle.json","state_url":"https://pith.science/pith/I5XJRELSLLMIUBOHZIVL6WA7EJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I5XJRELSLLMIUBOHZIVL6WA7EJ/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":"2026-08-06T05:42:05Z","links":{"resolver":"https://pith.science/pith/I5XJRELSLLMIUBOHZIVL6WA7EJ","bundle":"https://pith.science/pith/I5XJRELSLLMIUBOHZIVL6WA7EJ/bundle.json","state":"https://pith.science/pith/I5XJRELSLLMIUBOHZIVL6WA7EJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I5XJRELSLLMIUBOHZIVL6WA7EJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:I5XJRELSLLMIUBOHZIVL6WA7EJ","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":"c083c99139c3756c2b99159be39679c33d64e43d584d909135f85b418beea94a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T09:57:50Z","title_canon_sha256":"b080d317955a1190699c5c5594f00e9bf5f7b95c4dc90550ab222cf1e2fb5156"},"schema_version":"1.0","source":{"id":"2608.01997","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01997","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01997v1","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01997","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"pith_short_12","alias_value":"I5XJRELSLLMI","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"pith_short_16","alias_value":"I5XJRELSLLMIUBOH","created_at":"2026-08-04T02:10:27Z"},{"alias_kind":"pith_short_8","alias_value":"I5XJRELS","created_at":"2026-08-04T02:10:27Z"}],"graph_snapshots":[{"event_id":"sha256:eecc24736b54d179d2b3cfab5cc94f521d1dc35b0d96f0a6ee48afb8aae8f805","target":"graph","created_at":"2026-08-04T02:10:27Z","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/2608.01997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Single-optimizer training is a poor fit for the distinct phases of deep network optimization: adaptive methods handle noisy early gradients well but overshoot flat minima, while SGD with momentum generalizes better in the late phase but converges slowly early on.\n  We introduce AOS-R (Adaptive Optimizer Switching, Rule-Based), a lightweight controller that monitors six online gradient-space signals -- gradient noise scale (GNS), Hutchinson curvature trace, loss stagnation, update stability ratio, gradient stability index (GSI), and loss improvement ratio (LIR) -- and switches among AdamW, SGD-","authors_text":"Aatish Rana, Alok Kumar Pandey, Gopi Krishna Nedanuri, Umang Chaturvedi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T09:57:50Z","title":"AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01997","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":"sha256:8ecdb0a0965bb1f0dacd08193a79f5d2aa2d40ec1389c4de03c3327979fc23ad","target":"record","created_at":"2026-08-04T02:10:27Z","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":"c083c99139c3756c2b99159be39679c33d64e43d584d909135f85b418beea94a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-08-03T09:57:50Z","title_canon_sha256":"b080d317955a1190699c5c5594f00e9bf5f7b95c4dc90550ab222cf1e2fb5156"},"schema_version":"1.0","source":{"id":"2608.01997","kind":"arxiv","version":1}},"canonical_sha256":"476e9891725ad88a05c7ca2abf581f227935a90b5d10eee3357ad722c60a5de4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"476e9891725ad88a05c7ca2abf581f227935a90b5d10eee3357ad722c60a5de4","first_computed_at":"2026-08-04T02:10:27.788797Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:10:27.788797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Si+AiicSYr5JXQ5muX9uCpy9N3jJ2NDMfxWUsEKk20KbEmq0XlbUBmn2Nzet351j+XSDHutoeUkBiLoIvhK0CA==","signature_status":"signed_v1","signed_at":"2026-08-04T02:10:27.790405Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.01997","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ecdb0a0965bb1f0dacd08193a79f5d2aa2d40ec1389c4de03c3327979fc23ad","sha256:eecc24736b54d179d2b3cfab5cc94f521d1dc35b0d96f0a6ee48afb8aae8f805"],"state_sha256":"2169a62774687a8d26d82db502fc94b77522df9608dcee38b543c1d36ccd3d1f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xyik8WhHHX0dqZO/kV6TwzW79C+M1Mx+eogpevj8fCV06IGiZ0Eom1rjYmiv/mc9KgpkxHV9WuJzkOXLRlQKBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T05:42:05.079959Z","bundle_sha256":"ad4a3e0b17c97e8fd6498b4d61ce9ee6263c4c1d39a3b6242342bb18eb251355"}}