{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:PGQHRTOFAI4IZBYDMYW3TBH5RU","short_pith_number":"pith:PGQHRTOF","canonical_record":{"source":{"id":"2101.05833","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-01-14T19:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"c3cf52aea59712c9646fc59c0410fb6830cc243f922b7ee12a2c49948f011521","abstract_canon_sha256":"a54fb8fc3424712078837725d2caafe68a31ce91ccf029bc9608ce681d41dda9"},"schema_version":"1.0"},"canonical_sha256":"79a078cdc502388c8703662db984fd8d07e928a117fde977faf80558a1d27c6d","source":{"kind":"arxiv","id":"2101.05833","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.05833","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"arxiv_version","alias_value":"2101.05833v1","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.05833","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"pith_short_12","alias_value":"PGQHRTOFAI4I","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"pith_short_16","alias_value":"PGQHRTOFAI4IZBYD","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"pith_short_8","alias_value":"PGQHRTOF","created_at":"2026-07-05T02:07:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:PGQHRTOFAI4IZBYDMYW3TBH5RU","target":"record","payload":{"canonical_record":{"source":{"id":"2101.05833","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-01-14T19:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"c3cf52aea59712c9646fc59c0410fb6830cc243f922b7ee12a2c49948f011521","abstract_canon_sha256":"a54fb8fc3424712078837725d2caafe68a31ce91ccf029bc9608ce681d41dda9"},"schema_version":"1.0"},"canonical_sha256":"79a078cdc502388c8703662db984fd8d07e928a117fde977faf80558a1d27c6d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:07:06.866599Z","signature_b64":"h0CnXE2fUGMIHggwQzCcyqvl+vT7Uc179CI2wFeLARPUeuQDhxpu7w45/l8HRK+hfqJP5CNGYnJ9vIAXMrtWDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79a078cdc502388c8703662db984fd8d07e928a117fde977faf80558a1d27c6d","last_reissued_at":"2026-07-05T02:07:06.866212Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:07:06.866212Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.05833","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":"2026-07-05T02:07:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ADpSPp7HjFRQTmWcosrdGDVYel1GndAXlQB3WW4uv6YIYQiO3cSK/kUWC7PJFHGgimkOp2DSGTyW0YSMLU2OBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T23:02:24.872989Z"},"content_sha256":"1a02f4b42f8d9e7f776797a1eed464b7c757b082cdfba185ef49882cfcd760af","schema_version":"1.0","event_id":"sha256:1a02f4b42f8d9e7f776797a1eed464b7c757b082cdfba185ef49882cfcd760af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:PGQHRTOFAI4IZBYDMYW3TBH5RU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Li-Yun Wang, Wu-chi Feng, Yeganeh Jalalpour","submitted_at":"2021-01-14T19:15:28Z","abstract_excerpt":"This paper presents a novel context-aware image denoising algorithm that combines an adaptive image smoothing technique and color reduction techniques to remove perturbation from adversarial images. Adaptive image smoothing is achieved using auto-threshold canny edge detection to produce an accurate edge map used to produce a blurred image that preserves more edge features. The proposed algorithm then uses color reduction techniques to reconstruct the image using only a few representative colors. Through this technique, the algorithm can reduce the effects of adversarial perturbations on image"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.05833","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/2101.05833/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":"2026-07-05T02:07:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RFgl9OPLUrG3YScQzuFSutm3q5pLEPilVu86n1cpJZD9y0azuzOYAUngD6qlFW/N1MphKKWGn0EDtk6/X09mAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T23:02:24.873638Z"},"content_sha256":"fb7e3fbb1a4ecf5270cb38d48f92a164a6e9da43802ea90d50e808b9aaa5d5b9","schema_version":"1.0","event_id":"sha256:fb7e3fbb1a4ecf5270cb38d48f92a164a6e9da43802ea90d50e808b9aaa5d5b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PGQHRTOFAI4IZBYDMYW3TBH5RU/bundle.json","state_url":"https://pith.science/pith/PGQHRTOFAI4IZBYDMYW3TBH5RU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PGQHRTOFAI4IZBYDMYW3TBH5RU/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":"2026-08-06T23:02:24Z","links":{"resolver":"https://pith.science/pith/PGQHRTOFAI4IZBYDMYW3TBH5RU","bundle":"https://pith.science/pith/PGQHRTOFAI4IZBYDMYW3TBH5RU/bundle.json","state":"https://pith.science/pith/PGQHRTOFAI4IZBYDMYW3TBH5RU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PGQHRTOFAI4IZBYDMYW3TBH5RU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PGQHRTOFAI4IZBYDMYW3TBH5RU","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":"a54fb8fc3424712078837725d2caafe68a31ce91ccf029bc9608ce681d41dda9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-01-14T19:15:28Z","title_canon_sha256":"c3cf52aea59712c9646fc59c0410fb6830cc243f922b7ee12a2c49948f011521"},"schema_version":"1.0","source":{"id":"2101.05833","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.05833","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"arxiv_version","alias_value":"2101.05833v1","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.05833","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"pith_short_12","alias_value":"PGQHRTOFAI4I","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"pith_short_16","alias_value":"PGQHRTOFAI4IZBYD","created_at":"2026-07-05T02:07:06Z"},{"alias_kind":"pith_short_8","alias_value":"PGQHRTOF","created_at":"2026-07-05T02:07:06Z"}],"graph_snapshots":[{"event_id":"sha256:fb7e3fbb1a4ecf5270cb38d48f92a164a6e9da43802ea90d50e808b9aaa5d5b9","target":"graph","created_at":"2026-07-05T02:07:06Z","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/2101.05833/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a novel context-aware image denoising algorithm that combines an adaptive image smoothing technique and color reduction techniques to remove perturbation from adversarial images. Adaptive image smoothing is achieved using auto-threshold canny edge detection to produce an accurate edge map used to produce a blurred image that preserves more edge features. The proposed algorithm then uses color reduction techniques to reconstruct the image using only a few representative colors. Through this technique, the algorithm can reduce the effects of adversarial perturbations on image","authors_text":"Li-Yun Wang, Wu-chi Feng, Yeganeh Jalalpour","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-01-14T19:15:28Z","title":"Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.05833","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":"sha256:1a02f4b42f8d9e7f776797a1eed464b7c757b082cdfba185ef49882cfcd760af","target":"record","created_at":"2026-07-05T02:07:06Z","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":"a54fb8fc3424712078837725d2caafe68a31ce91ccf029bc9608ce681d41dda9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-01-14T19:15:28Z","title_canon_sha256":"c3cf52aea59712c9646fc59c0410fb6830cc243f922b7ee12a2c49948f011521"},"schema_version":"1.0","source":{"id":"2101.05833","kind":"arxiv","version":1}},"canonical_sha256":"79a078cdc502388c8703662db984fd8d07e928a117fde977faf80558a1d27c6d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79a078cdc502388c8703662db984fd8d07e928a117fde977faf80558a1d27c6d","first_computed_at":"2026-07-05T02:07:06.866212Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:07:06.866212Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h0CnXE2fUGMIHggwQzCcyqvl+vT7Uc179CI2wFeLARPUeuQDhxpu7w45/l8HRK+hfqJP5CNGYnJ9vIAXMrtWDg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:07:06.866599Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.05833","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a02f4b42f8d9e7f776797a1eed464b7c757b082cdfba185ef49882cfcd760af","sha256:fb7e3fbb1a4ecf5270cb38d48f92a164a6e9da43802ea90d50e808b9aaa5d5b9"],"state_sha256":"c48a9f7429bd289ed0cbbb7aa13cdd565c805fd1ed0609fa19e4dd9e21e53c1b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JhGJjBUgwY/QOZxSzW7/pimVZu6h+ZbwTrCfV9kho5A8GDVz2Ewgw7QRZ0FY4l1VhhIQD7CMeBV+UZCOGcStBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T23:02:24.887692Z","bundle_sha256":"2c280fb85858167d297019749b588d1eeda83adfa2ac0bd2a93c560929313100"}}