{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:AJU2RWUZD6HEY6EXBUS6EJRBDY","short_pith_number":"pith:AJU2RWUZ","canonical_record":{"source":{"id":"2304.10113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-20T06:38:33Z","cross_cats_sorted":[],"title_canon_sha256":"9abeccf4eacd32cfa31daced5e1a53dd6e76653d3cf6b95251acdf36ae68ab13","abstract_canon_sha256":"82e3de8e3777a93e74bfdc74f34b094c8419a6c32a162639ede9be940430f2dc"},"schema_version":"1.0"},"canonical_sha256":"0269a8da991f8e4c78970d25e226211e02708dbd563e917901f8dca43968d2be","source":{"kind":"arxiv","id":"2304.10113","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.10113","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"arxiv_version","alias_value":"2304.10113v1","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.10113","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"pith_short_12","alias_value":"AJU2RWUZD6HE","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"pith_short_16","alias_value":"AJU2RWUZD6HEY6EX","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"pith_short_8","alias_value":"AJU2RWUZ","created_at":"2026-07-05T06:02:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:AJU2RWUZD6HEY6EXBUS6EJRBDY","target":"record","payload":{"canonical_record":{"source":{"id":"2304.10113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-20T06:38:33Z","cross_cats_sorted":[],"title_canon_sha256":"9abeccf4eacd32cfa31daced5e1a53dd6e76653d3cf6b95251acdf36ae68ab13","abstract_canon_sha256":"82e3de8e3777a93e74bfdc74f34b094c8419a6c32a162639ede9be940430f2dc"},"schema_version":"1.0"},"canonical_sha256":"0269a8da991f8e4c78970d25e226211e02708dbd563e917901f8dca43968d2be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:02:54.142634Z","signature_b64":"whQH7DB61nbxOMHG+lVz8QWe4MSed8k3l61FkGlwQ66IgxsPHbKYFVhy8fNuws4SoDublchd37I/uOsNrHm7BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0269a8da991f8e4c78970d25e226211e02708dbd563e917901f8dca43968d2be","last_reissued_at":"2026-07-05T06:02:54.142191Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:02:54.142191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.10113","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":"2026-07-05T06:02:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Amuk5lFjxkqHL2DWmmWGLQxP4CWEgMY5vpFCwCBsZr6rjcI9m2rGhv61OxzQnNQGcJeCNzvMLMVxZTWoBCeBDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:50:22.839248Z"},"content_sha256":"26ee05751833ca123892351358b1816d63004b3561950f195f9cbde9874e2df7","schema_version":"1.0","event_id":"sha256:26ee05751833ca123892351358b1816d63004b3561950f195f9cbde9874e2df7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:AJU2RWUZD6HEY6EXBUS6EJRBDY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Goirik Chakrabarty, Manogna Sreenivas, Soma Biswas","submitted_at":"2023-04-20T06:38:33Z","abstract_excerpt":"Adapting a trained model to perform satisfactorily on continually changing testing domains/environments is an important and challenging task. In this work, we propose a novel framework, SATA, which aims to satisfy the following characteristics required for online adaptation: 1) can work seamlessly with different (preferably small) batch sizes to reduce latency; 2) should continue to work well for the source domain; 3) should have minimal tunable hyper-parameters and storage requirements. Given a pre-trained network trained on source domain data, the proposed SATA framework modifies the batch-n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.10113","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/2304.10113/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":"2026-07-05T06:02:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PDSWgs/uhqh0+K/MXl4UHJRvuDGcASjjUNaMLb45/rWr0paU0/iUFUosAS30g7TLIhX8HE84FsOJUXNaN6jpBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T04:50:22.839790Z"},"content_sha256":"dd429f312e6666a2aa42c2a00a6a78306d9662b1f7544ae89a34349828bf083a","schema_version":"1.0","event_id":"sha256:dd429f312e6666a2aa42c2a00a6a78306d9662b1f7544ae89a34349828bf083a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AJU2RWUZD6HEY6EXBUS6EJRBDY/bundle.json","state_url":"https://pith.science/pith/AJU2RWUZD6HEY6EXBUS6EJRBDY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AJU2RWUZD6HEY6EXBUS6EJRBDY/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":"2026-08-10T04:50:22Z","links":{"resolver":"https://pith.science/pith/AJU2RWUZD6HEY6EXBUS6EJRBDY","bundle":"https://pith.science/pith/AJU2RWUZD6HEY6EXBUS6EJRBDY/bundle.json","state":"https://pith.science/pith/AJU2RWUZD6HEY6EXBUS6EJRBDY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AJU2RWUZD6HEY6EXBUS6EJRBDY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AJU2RWUZD6HEY6EXBUS6EJRBDY","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":"82e3de8e3777a93e74bfdc74f34b094c8419a6c32a162639ede9be940430f2dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-20T06:38:33Z","title_canon_sha256":"9abeccf4eacd32cfa31daced5e1a53dd6e76653d3cf6b95251acdf36ae68ab13"},"schema_version":"1.0","source":{"id":"2304.10113","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.10113","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"arxiv_version","alias_value":"2304.10113v1","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.10113","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"pith_short_12","alias_value":"AJU2RWUZD6HE","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"pith_short_16","alias_value":"AJU2RWUZD6HEY6EX","created_at":"2026-07-05T06:02:54Z"},{"alias_kind":"pith_short_8","alias_value":"AJU2RWUZ","created_at":"2026-07-05T06:02:54Z"}],"graph_snapshots":[{"event_id":"sha256:dd429f312e6666a2aa42c2a00a6a78306d9662b1f7544ae89a34349828bf083a","target":"graph","created_at":"2026-07-05T06:02:54Z","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/2304.10113/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adapting a trained model to perform satisfactorily on continually changing testing domains/environments is an important and challenging task. In this work, we propose a novel framework, SATA, which aims to satisfy the following characteristics required for online adaptation: 1) can work seamlessly with different (preferably small) batch sizes to reduce latency; 2) should continue to work well for the source domain; 3) should have minimal tunable hyper-parameters and storage requirements. Given a pre-trained network trained on source domain data, the proposed SATA framework modifies the batch-n","authors_text":"Goirik Chakrabarty, Manogna Sreenivas, Soma Biswas","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-20T06:38:33Z","title":"SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.10113","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":"sha256:26ee05751833ca123892351358b1816d63004b3561950f195f9cbde9874e2df7","target":"record","created_at":"2026-07-05T06:02:54Z","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":"82e3de8e3777a93e74bfdc74f34b094c8419a6c32a162639ede9be940430f2dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-20T06:38:33Z","title_canon_sha256":"9abeccf4eacd32cfa31daced5e1a53dd6e76653d3cf6b95251acdf36ae68ab13"},"schema_version":"1.0","source":{"id":"2304.10113","kind":"arxiv","version":1}},"canonical_sha256":"0269a8da991f8e4c78970d25e226211e02708dbd563e917901f8dca43968d2be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0269a8da991f8e4c78970d25e226211e02708dbd563e917901f8dca43968d2be","first_computed_at":"2026-07-05T06:02:54.142191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:02:54.142191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"whQH7DB61nbxOMHG+lVz8QWe4MSed8k3l61FkGlwQ66IgxsPHbKYFVhy8fNuws4SoDublchd37I/uOsNrHm7BA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:02:54.142634Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.10113","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26ee05751833ca123892351358b1816d63004b3561950f195f9cbde9874e2df7","sha256:dd429f312e6666a2aa42c2a00a6a78306d9662b1f7544ae89a34349828bf083a"],"state_sha256":"8b83a5ed2561e4ddb492ea61f803b8b6511f5289931582c925f8a57764290a5f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tLfA8VO6MAxWb8oS2gBohRi2t16PuWNE1PNgJuf4SH45aL52lPyQfZIGWRWpDR2aslDwsLn90Pm5TYUH8o48Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T04:50:22.843553Z","bundle_sha256":"06687af270e46a0aaf1821c0edef78f072464b182edc7e38524173178d2f8203"}}