{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UACLODASRUJSRT5I5Q5CIUTNWG","short_pith_number":"pith:UACLODAS","canonical_record":{"source":{"id":"2602.19323","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-22T20:00:02Z","cross_cats_sorted":[],"title_canon_sha256":"7a42a6ce705a561da1416369e4f7ba0dd7860896e5c9dd747d9c951d213d7c5c","abstract_canon_sha256":"7f02ef432d098ea75e353ed330bc1f7c4c3db9671276541ae18b4cf538ede76c"},"schema_version":"1.0"},"canonical_sha256":"a004b70c128d1328cfa8ec3a24526db1980008c8c23908e791838041ccce7647","source":{"kind":"arxiv","id":"2602.19323","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.19323","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"arxiv_version","alias_value":"2602.19323v2","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.19323","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"pith_short_12","alias_value":"UACLODASRUJS","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"pith_short_16","alias_value":"UACLODASRUJSRT5I","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"pith_short_8","alias_value":"UACLODAS","created_at":"2026-06-30T01:16:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UACLODASRUJSRT5I5Q5CIUTNWG","target":"record","payload":{"canonical_record":{"source":{"id":"2602.19323","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-22T20:00:02Z","cross_cats_sorted":[],"title_canon_sha256":"7a42a6ce705a561da1416369e4f7ba0dd7860896e5c9dd747d9c951d213d7c5c","abstract_canon_sha256":"7f02ef432d098ea75e353ed330bc1f7c4c3db9671276541ae18b4cf538ede76c"},"schema_version":"1.0"},"canonical_sha256":"a004b70c128d1328cfa8ec3a24526db1980008c8c23908e791838041ccce7647","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:16:28.489648Z","signature_b64":"uSzGuvHR/W5hnEZky0Pu5bNYU1oL3F4MCyJRgQxJg4JWIpteWNByr1/DT6NaNBgVVrYtko68Mo7SLYIV/VpADw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a004b70c128d1328cfa8ec3a24526db1980008c8c23908e791838041ccce7647","last_reissued_at":"2026-06-30T01:16:28.488868Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:16:28.488868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.19323","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":"2026-06-30T01:16:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Km/hEat8uU8aQAr5oM7quuz7u8YhERlDZLOKIUQyNNUEGZ0nUMERviEuTEfjr5eE8BsU/uTDYc22zkf9PpRiCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T07:11:47.248706Z"},"content_sha256":"578f45a0010e0abe00b1a24e3f0821fd1590295039c7c2529a9cb7033068a9c4","schema_version":"1.0","event_id":"sha256:578f45a0010e0abe00b1a24e3f0821fd1590295039c7c2529a9cb7033068a9c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UACLODASRUJSRT5I5Q5CIUTNWG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jing Ma, Linlin Hou, Rui Yang, Yiran Qiao, Yiren Lu, Yunlai Zhou, Yu Yin","submitted_at":"2026-02-22T20:00:02Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) has emerged as a powerful paradigm for real-time and high-fidelity 3D reconstruction from posed images. However, recent studies reveal its vulnerability to adversarial corruptions in input views, where imperceptible yet consistent perturbations can drastically degrade rendering quality, increase training and rendering time, and inflate memory usage, even leading to server denial-of-service. In our work, to mitigate this issue, we begin by analyzing the distinct behaviors of adversarial perturbations in the low- and high-frequency components of input images using wa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.19323","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/2602.19323/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":"2026-06-30T01:16:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QGlH3AqHYwJcfZAl/JYQ1R0RefoBoLm1GrYDnORxQmAsMJNz2dWLio68lO+AtkmexnaeABUsr83anlVUdsR/Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T07:11:47.249221Z"},"content_sha256":"50ca4d74b41611f0d6f25ef08f4365883c7fdb7e13b0314b5d02fe9466b38e93","schema_version":"1.0","event_id":"sha256:50ca4d74b41611f0d6f25ef08f4365883c7fdb7e13b0314b5d02fe9466b38e93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UACLODASRUJSRT5I5Q5CIUTNWG/bundle.json","state_url":"https://pith.science/pith/UACLODASRUJSRT5I5Q5CIUTNWG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UACLODASRUJSRT5I5Q5CIUTNWG/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":"2026-08-03T07:11:47Z","links":{"resolver":"https://pith.science/pith/UACLODASRUJSRT5I5Q5CIUTNWG","bundle":"https://pith.science/pith/UACLODASRUJSRT5I5Q5CIUTNWG/bundle.json","state":"https://pith.science/pith/UACLODASRUJSRT5I5Q5CIUTNWG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UACLODASRUJSRT5I5Q5CIUTNWG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UACLODASRUJSRT5I5Q5CIUTNWG","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":"7f02ef432d098ea75e353ed330bc1f7c4c3db9671276541ae18b4cf538ede76c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-22T20:00:02Z","title_canon_sha256":"7a42a6ce705a561da1416369e4f7ba0dd7860896e5c9dd747d9c951d213d7c5c"},"schema_version":"1.0","source":{"id":"2602.19323","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.19323","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"arxiv_version","alias_value":"2602.19323v2","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.19323","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"pith_short_12","alias_value":"UACLODASRUJS","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"pith_short_16","alias_value":"UACLODASRUJSRT5I","created_at":"2026-06-30T01:16:28Z"},{"alias_kind":"pith_short_8","alias_value":"UACLODAS","created_at":"2026-06-30T01:16:28Z"}],"graph_snapshots":[{"event_id":"sha256:50ca4d74b41611f0d6f25ef08f4365883c7fdb7e13b0314b5d02fe9466b38e93","target":"graph","created_at":"2026-06-30T01:16:28Z","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/2602.19323/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D Gaussian Splatting (3DGS) has emerged as a powerful paradigm for real-time and high-fidelity 3D reconstruction from posed images. However, recent studies reveal its vulnerability to adversarial corruptions in input views, where imperceptible yet consistent perturbations can drastically degrade rendering quality, increase training and rendering time, and inflate memory usage, even leading to server denial-of-service. In our work, to mitigate this issue, we begin by analyzing the distinct behaviors of adversarial perturbations in the low- and high-frequency components of input images using wa","authors_text":"Jing Ma, Linlin Hou, Rui Yang, Yiran Qiao, Yiren Lu, Yunlai Zhou, Yu Yin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-22T20:00:02Z","title":"DefenseSplat: Enhancing the Robustness of 3D Gaussian Splatting via Frequency-Aware Filtering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.19323","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":"sha256:578f45a0010e0abe00b1a24e3f0821fd1590295039c7c2529a9cb7033068a9c4","target":"record","created_at":"2026-06-30T01:16:28Z","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":"7f02ef432d098ea75e353ed330bc1f7c4c3db9671276541ae18b4cf538ede76c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-22T20:00:02Z","title_canon_sha256":"7a42a6ce705a561da1416369e4f7ba0dd7860896e5c9dd747d9c951d213d7c5c"},"schema_version":"1.0","source":{"id":"2602.19323","kind":"arxiv","version":2}},"canonical_sha256":"a004b70c128d1328cfa8ec3a24526db1980008c8c23908e791838041ccce7647","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a004b70c128d1328cfa8ec3a24526db1980008c8c23908e791838041ccce7647","first_computed_at":"2026-06-30T01:16:28.488868Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:16:28.488868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uSzGuvHR/W5hnEZky0Pu5bNYU1oL3F4MCyJRgQxJg4JWIpteWNByr1/DT6NaNBgVVrYtko68Mo7SLYIV/VpADw==","signature_status":"signed_v1","signed_at":"2026-06-30T01:16:28.489648Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.19323","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:578f45a0010e0abe00b1a24e3f0821fd1590295039c7c2529a9cb7033068a9c4","sha256:50ca4d74b41611f0d6f25ef08f4365883c7fdb7e13b0314b5d02fe9466b38e93"],"state_sha256":"37ff843b20eaedf92ba03a8941d720d48b0e199b38ed484c8162828261410a6d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t3on10UTyx8wij3uyqmxvpa5RmqJ0m0gTxUp79qV9kZM92Y1Xb/vJJALFl5cXSCZxvxPSiRYjo8kaHmoQKljBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T07:11:47.254565Z","bundle_sha256":"006f2efb95a94a523ae328aa90139ad7131f7b0bbfb84ee8c1c53ff86604c8ff"}}