{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AZ2TIADNLJSZVSN2QRC3GUI7ZJ","short_pith_number":"pith:AZ2TIADN","canonical_record":{"source":{"id":"2205.01304","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2022-05-03T04:51:31Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"e3cfe9379aa7544f71fa527166d1291c0a7a15d0e224a5dfba2cc2bf95e4547a","abstract_canon_sha256":"43961374e26ec1a8b60ab4da9c85e46c63f0632dfb1f06db813ac7a87e27e32f"},"schema_version":"1.0"},"canonical_sha256":"067534006d5a659ac9ba8445b3511fca624697fe61c36034f7f978bcaf467209","source":{"kind":"arxiv","id":"2205.01304","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.01304","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"arxiv_version","alias_value":"2205.01304v2","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.01304","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"pith_short_12","alias_value":"AZ2TIADNLJSZ","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"pith_short_16","alias_value":"AZ2TIADNLJSZVSN2","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"pith_short_8","alias_value":"AZ2TIADN","created_at":"2026-07-05T05:08:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AZ2TIADNLJSZVSN2QRC3GUI7ZJ","target":"record","payload":{"canonical_record":{"source":{"id":"2205.01304","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2022-05-03T04:51:31Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"e3cfe9379aa7544f71fa527166d1291c0a7a15d0e224a5dfba2cc2bf95e4547a","abstract_canon_sha256":"43961374e26ec1a8b60ab4da9c85e46c63f0632dfb1f06db813ac7a87e27e32f"},"schema_version":"1.0"},"canonical_sha256":"067534006d5a659ac9ba8445b3511fca624697fe61c36034f7f978bcaf467209","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:08:51.709240Z","signature_b64":"aQBWo78dNHSVViDkjLHlBz9jZzuc+mdcrF628/oPL7ecseD9pHdNpD0RcVzjJmwtSVBJEh0vKWCP3IA5L7oxBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"067534006d5a659ac9ba8445b3511fca624697fe61c36034f7f978bcaf467209","last_reissued_at":"2026-07-05T05:08:51.708780Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:08:51.708780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.01304","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:08:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+1tBlSY1ft1e2ZA0v3//he24uH2NeOF1Epkpikb2qiKjEfXgW4jtqsVtKOFs/rpWl7vu3oq5hOYi0NpffSbTBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:22:57.889202Z"},"content_sha256":"af989064f359c64ce17122910c8586333d494aa1b6879e2758db737b17d9baec","schema_version":"1.0","event_id":"sha256:af989064f359c64ce17122910c8586333d494aa1b6879e2758db737b17d9baec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AZ2TIADNLJSZVSN2QRC3GUI7ZJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient dynamic filter for robust and low computational feature extraction","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Bokyeung Lee, David K. Han, Donghyeon Kim, Gwantae Kim, Hanseok Ko, Jeong-gi Kwak","submitted_at":"2022-05-03T04:51:31Z","abstract_excerpt":"Unseen noise signal which is not considered in a model training process is difficult to anticipate and would lead to performance degradation. Various methods have been investigated to mitigate unseen noise. In our previous work, an Instance-level Dynamic Filter (IDF) and a Pixel Dynamic Filter (PDF) were proposed to extract noise-robust features. However, the performance of the dynamic filter might be degraded since simple feature pooling is used to reduce the computational resource in the IDF part. In this paper, we propose an efficient dynamic filter to enhance the performance of the dynamic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.01304","kind":"arxiv","version":2},"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/2205.01304/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":"2026-07-05T05:08:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z3r0/shteX7vhE4KM03jD5vS1tXdixRkvgzQj73C+YQGKCLhqg4xsJVtrEhPPX/XLsEXdiLpSdSQt37zM2KJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:22:57.889593Z"},"content_sha256":"24b05b59a56ed4d53e5163bb28c54d14227ace6b9f6bf0bb18133aace8b56bd9","schema_version":"1.0","event_id":"sha256:24b05b59a56ed4d53e5163bb28c54d14227ace6b9f6bf0bb18133aace8b56bd9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AZ2TIADNLJSZVSN2QRC3GUI7ZJ/bundle.json","state_url":"https://pith.science/pith/AZ2TIADNLJSZVSN2QRC3GUI7ZJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AZ2TIADNLJSZVSN2QRC3GUI7ZJ/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":"2026-07-07T06:22:57Z","links":{"resolver":"https://pith.science/pith/AZ2TIADNLJSZVSN2QRC3GUI7ZJ","bundle":"https://pith.science/pith/AZ2TIADNLJSZVSN2QRC3GUI7ZJ/bundle.json","state":"https://pith.science/pith/AZ2TIADNLJSZVSN2QRC3GUI7ZJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AZ2TIADNLJSZVSN2QRC3GUI7ZJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AZ2TIADNLJSZVSN2QRC3GUI7ZJ","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":"43961374e26ec1a8b60ab4da9c85e46c63f0632dfb1f06db813ac7a87e27e32f","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2022-05-03T04:51:31Z","title_canon_sha256":"e3cfe9379aa7544f71fa527166d1291c0a7a15d0e224a5dfba2cc2bf95e4547a"},"schema_version":"1.0","source":{"id":"2205.01304","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.01304","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"arxiv_version","alias_value":"2205.01304v2","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.01304","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"pith_short_12","alias_value":"AZ2TIADNLJSZ","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"pith_short_16","alias_value":"AZ2TIADNLJSZVSN2","created_at":"2026-07-05T05:08:51Z"},{"alias_kind":"pith_short_8","alias_value":"AZ2TIADN","created_at":"2026-07-05T05:08:51Z"}],"graph_snapshots":[{"event_id":"sha256:24b05b59a56ed4d53e5163bb28c54d14227ace6b9f6bf0bb18133aace8b56bd9","target":"graph","created_at":"2026-07-05T05:08:51Z","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/2205.01304/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unseen noise signal which is not considered in a model training process is difficult to anticipate and would lead to performance degradation. Various methods have been investigated to mitigate unseen noise. In our previous work, an Instance-level Dynamic Filter (IDF) and a Pixel Dynamic Filter (PDF) were proposed to extract noise-robust features. However, the performance of the dynamic filter might be degraded since simple feature pooling is used to reduce the computational resource in the IDF part. In this paper, we propose an efficient dynamic filter to enhance the performance of the dynamic","authors_text":"Bokyeung Lee, David K. Han, Donghyeon Kim, Gwantae Kim, Hanseok Ko, Jeong-gi Kwak","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2022-05-03T04:51:31Z","title":"Efficient dynamic filter for robust and low computational feature extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.01304","kind":"arxiv","version":2},"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:af989064f359c64ce17122910c8586333d494aa1b6879e2758db737b17d9baec","target":"record","created_at":"2026-07-05T05:08:51Z","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":"43961374e26ec1a8b60ab4da9c85e46c63f0632dfb1f06db813ac7a87e27e32f","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.AS","submitted_at":"2022-05-03T04:51:31Z","title_canon_sha256":"e3cfe9379aa7544f71fa527166d1291c0a7a15d0e224a5dfba2cc2bf95e4547a"},"schema_version":"1.0","source":{"id":"2205.01304","kind":"arxiv","version":2}},"canonical_sha256":"067534006d5a659ac9ba8445b3511fca624697fe61c36034f7f978bcaf467209","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"067534006d5a659ac9ba8445b3511fca624697fe61c36034f7f978bcaf467209","first_computed_at":"2026-07-05T05:08:51.708780Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:08:51.708780Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aQBWo78dNHSVViDkjLHlBz9jZzuc+mdcrF628/oPL7ecseD9pHdNpD0RcVzjJmwtSVBJEh0vKWCP3IA5L7oxBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:08:51.709240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.01304","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af989064f359c64ce17122910c8586333d494aa1b6879e2758db737b17d9baec","sha256:24b05b59a56ed4d53e5163bb28c54d14227ace6b9f6bf0bb18133aace8b56bd9"],"state_sha256":"26107453e886ac68d6ddde05da94c0bdc43d0aea6b22d5d61b906768918a3103"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"41rdsXd+ZHzz2uQ983L00/LUpAnK5S7GQWfL0fP2T5Uf3YSMc1mIyePbIiEhZjeIOYyLmnYfT4AGBYv2AnDaDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:22:57.892106Z","bundle_sha256":"ab9cbecb267f5b18ca63c59606dc9b6e0d5d47aed5ad6ef39de8e9612f1bddbf"}}