{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JFISCRD4HL5C34PCY5KLFWNHOF","short_pith_number":"pith:JFISCRD4","canonical_record":{"source":{"id":"2503.15889","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T06:27:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7420615547222802d4c76ed9470a58651e5191705a2385c3241249f51f91bf15","abstract_canon_sha256":"e7610c13b1f17fa13a436e5c3073395defe8f8fc60daab330e831a9ca0827805"},"schema_version":"1.0"},"canonical_sha256":"495121447c3afa2df1e2c754b2d9a771793b6a76739039e9f5ceddd2aa7f9dd1","source":{"kind":"arxiv","id":"2503.15889","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15889","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15889v1","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15889","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"JFISCRD4HL5C","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"JFISCRD4HL5C34PC","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"JFISCRD4","created_at":"2026-07-05T10:36:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JFISCRD4HL5C34PCY5KLFWNHOF","target":"record","payload":{"canonical_record":{"source":{"id":"2503.15889","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T06:27:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7420615547222802d4c76ed9470a58651e5191705a2385c3241249f51f91bf15","abstract_canon_sha256":"e7610c13b1f17fa13a436e5c3073395defe8f8fc60daab330e831a9ca0827805"},"schema_version":"1.0"},"canonical_sha256":"495121447c3afa2df1e2c754b2d9a771793b6a76739039e9f5ceddd2aa7f9dd1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:36:00.905810Z","signature_b64":"cp2kAKLR3L+YjgdjdXCLI7zdhKl3/gqmUVnjs2gcX+OnYzkfu7wULvtXm7QH02R9hkzJgrKVk61XukOXujfOCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"495121447c3afa2df1e2c754b2d9a771793b6a76739039e9f5ceddd2aa7f9dd1","last_reissued_at":"2026-07-05T10:36:00.905142Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:36:00.905142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.15889","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":"2026-07-05T10:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1uqW0/ydkY4biy8sSkZ2+V4fjNDIuqV+fVks4k7LDArXPXxEAG4OncqVul40JcWoSbLRb/NI0CLq8kJIlkKOCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:05:23.315108Z"},"content_sha256":"eca3dadd17a6911e92913f0ccef78790874fcc82ea24592876bb3b1bf6cd6154","schema_version":"1.0","event_id":"sha256:eca3dadd17a6911e92913f0ccef78790874fcc82ea24592876bb3b1bf6cd6154"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JFISCRD4HL5C34PCY5KLFWNHOF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Cecilia Mascolo, Cynthia Dong, Georgios Rizos, Hong Jia, Young D. Kwon","submitted_at":"2025-03-20T06:27:09Z","abstract_excerpt":"While there are many advantages to deploying machine learning models on edge devices, the resource constraints of mobile platforms, the dynamic nature of the environment, and differences between the distribution of training versus in-the-wild data make such deployments challenging. Current test-time adaptation methods are often memory-intensive and not designed to be quantization-compatible or deployed on low-resource devices. To address these challenges, we present LeanTTA, a novel backpropagation-free and stateless framework for quantized test-time adaptation tailored to edge devices. Our ap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15889","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/2503.15889/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":"2026-07-05T10:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ijXjtEYWvW5ExI2IYkdyreGvDi0pp9GWQuEy2r2yCBZSIp/a/YBG8B3dwxDT8s2zp/Rh7hib5YkDlHRm/TerDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:05:23.315608Z"},"content_sha256":"cc2792b7382088a7bddbd4e83eff21fb2ab7935bc1536eeb3063479ba4a7532a","schema_version":"1.0","event_id":"sha256:cc2792b7382088a7bddbd4e83eff21fb2ab7935bc1536eeb3063479ba4a7532a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JFISCRD4HL5C34PCY5KLFWNHOF/bundle.json","state_url":"https://pith.science/pith/JFISCRD4HL5C34PCY5KLFWNHOF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JFISCRD4HL5C34PCY5KLFWNHOF/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":"2026-08-03T22:05:23Z","links":{"resolver":"https://pith.science/pith/JFISCRD4HL5C34PCY5KLFWNHOF","bundle":"https://pith.science/pith/JFISCRD4HL5C34PCY5KLFWNHOF/bundle.json","state":"https://pith.science/pith/JFISCRD4HL5C34PCY5KLFWNHOF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JFISCRD4HL5C34PCY5KLFWNHOF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JFISCRD4HL5C34PCY5KLFWNHOF","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":"e7610c13b1f17fa13a436e5c3073395defe8f8fc60daab330e831a9ca0827805","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T06:27:09Z","title_canon_sha256":"7420615547222802d4c76ed9470a58651e5191705a2385c3241249f51f91bf15"},"schema_version":"1.0","source":{"id":"2503.15889","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15889","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15889v1","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15889","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"JFISCRD4HL5C","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"JFISCRD4HL5C34PC","created_at":"2026-07-05T10:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"JFISCRD4","created_at":"2026-07-05T10:36:00Z"}],"graph_snapshots":[{"event_id":"sha256:cc2792b7382088a7bddbd4e83eff21fb2ab7935bc1536eeb3063479ba4a7532a","target":"graph","created_at":"2026-07-05T10:36:00Z","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/2503.15889/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While there are many advantages to deploying machine learning models on edge devices, the resource constraints of mobile platforms, the dynamic nature of the environment, and differences between the distribution of training versus in-the-wild data make such deployments challenging. Current test-time adaptation methods are often memory-intensive and not designed to be quantization-compatible or deployed on low-resource devices. To address these challenges, we present LeanTTA, a novel backpropagation-free and stateless framework for quantized test-time adaptation tailored to edge devices. Our ap","authors_text":"Cecilia Mascolo, Cynthia Dong, Georgios Rizos, Hong Jia, Young D. Kwon","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T06:27:09Z","title":"LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15889","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:eca3dadd17a6911e92913f0ccef78790874fcc82ea24592876bb3b1bf6cd6154","target":"record","created_at":"2026-07-05T10:36:00Z","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":"e7610c13b1f17fa13a436e5c3073395defe8f8fc60daab330e831a9ca0827805","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-20T06:27:09Z","title_canon_sha256":"7420615547222802d4c76ed9470a58651e5191705a2385c3241249f51f91bf15"},"schema_version":"1.0","source":{"id":"2503.15889","kind":"arxiv","version":1}},"canonical_sha256":"495121447c3afa2df1e2c754b2d9a771793b6a76739039e9f5ceddd2aa7f9dd1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"495121447c3afa2df1e2c754b2d9a771793b6a76739039e9f5ceddd2aa7f9dd1","first_computed_at":"2026-07-05T10:36:00.905142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:00.905142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cp2kAKLR3L+YjgdjdXCLI7zdhKl3/gqmUVnjs2gcX+OnYzkfu7wULvtXm7QH02R9hkzJgrKVk61XukOXujfOCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:00.905810Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.15889","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eca3dadd17a6911e92913f0ccef78790874fcc82ea24592876bb3b1bf6cd6154","sha256:cc2792b7382088a7bddbd4e83eff21fb2ab7935bc1536eeb3063479ba4a7532a"],"state_sha256":"3b3994f103f05ede56d993eefc817c62bd58f0e3f87b7f30100d2beb46940470"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sF2HLwwIaGpn4IJ31ez9ATjNyTmClh3NqsRx+T5EJan0oDGOoxS+rgelAS+axIoybiaGlHf8tohGAEGcV5dNDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:05:23.319265Z","bundle_sha256":"7e75de37ad68c124f30241c5563d1bcd1bce8177c8ce3ea76bb65805d3a01f6f"}}