{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7Z2BL5WDEBQCLHBCVQ2ZQOQER6","short_pith_number":"pith:7Z2BL5WD","canonical_record":{"source":{"id":"2504.00773","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T13:23:34Z","cross_cats_sorted":[],"title_canon_sha256":"da5ee95283d242bfe7bebb951dc62b0a1fa9950ec7e212301f3e060be8036184","abstract_canon_sha256":"eddee329ff8c895cbdbdd77eeeac6dd34416f3664c010857b768804685a9c30f"},"schema_version":"1.0"},"canonical_sha256":"fe7415f6c32060259c22ac35983a048f90ecc8a1cd72698758957723116e04b2","source":{"kind":"arxiv","id":"2504.00773","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00773","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00773v1","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00773","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"pith_short_12","alias_value":"7Z2BL5WDEBQC","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"pith_short_16","alias_value":"7Z2BL5WDEBQCLHBC","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"pith_short_8","alias_value":"7Z2BL5WD","created_at":"2026-07-05T10:42:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7Z2BL5WDEBQCLHBCVQ2ZQOQER6","target":"record","payload":{"canonical_record":{"source":{"id":"2504.00773","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T13:23:34Z","cross_cats_sorted":[],"title_canon_sha256":"da5ee95283d242bfe7bebb951dc62b0a1fa9950ec7e212301f3e060be8036184","abstract_canon_sha256":"eddee329ff8c895cbdbdd77eeeac6dd34416f3664c010857b768804685a9c30f"},"schema_version":"1.0"},"canonical_sha256":"fe7415f6c32060259c22ac35983a048f90ecc8a1cd72698758957723116e04b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:42:50.172837Z","signature_b64":"On/JBERCVpcUnvqwC5Uqd69prNXKAq7Hj/cqvjINjYNO1srJE9/EqYT0MMxAMH0q8o3YlDcMhcGkHK/25y01DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe7415f6c32060259c22ac35983a048f90ecc8a1cd72698758957723116e04b2","last_reissued_at":"2026-07-05T10:42:50.172346Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:42:50.172346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.00773","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":"2026-07-05T10:42:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rov+C7T1LgiB2EkDZKotTA9M390iMYkVegGdmx7Q+TMJZ7riokRi8fF4fUaJr8NN7DiG4Gjn2iyTJ83N/nJCAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:53:52.563515Z"},"content_sha256":"c2e2c3899e44c2cc5d9a88c0b23fa5082fef61afb288254bafe93708909699dd","schema_version":"1.0","event_id":"sha256:c2e2c3899e44c2cc5d9a88c0b23fa5082fef61afb288254bafe93708909699dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7Z2BL5WDEBQCLHBCVQ2ZQOQER6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DropGaussian: Structural Regularization for Sparse-view Gaussian Splatting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gun Ryu, Hyunwoo Park, Wonjun Kim","submitted_at":"2025-04-01T13:23:34Z","abstract_excerpt":"Recently, 3D Gaussian splatting (3DGS) has gained considerable attentions in the field of novel view synthesis due to its fast performance while yielding the excellent image quality. However, 3DGS in sparse-view settings (e.g., three-view inputs) often faces with the problem of overfitting to training views, which significantly drops the visual quality of novel view images. Many existing approaches have tackled this issue by using strong priors, such as 2D generative contextual information and external depth signals. In contrast, this paper introduces a prior-free method, so-called DropGaussia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00773","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/2504.00773/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":"2026-07-05T10:42:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yxls1tbvUHnvXNGmXNOKdAOPUB8XTl0PLH/43XUST1C7RnnK8XMOPt7Z810rc5Ko4LhNOmwBSfJCiwgUsGOtDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T07:53:52.564003Z"},"content_sha256":"50746fa4658f61bb6b07a10de5d3b7323d178190bc53cd05097854080fc8ed45","schema_version":"1.0","event_id":"sha256:50746fa4658f61bb6b07a10de5d3b7323d178190bc53cd05097854080fc8ed45"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7Z2BL5WDEBQCLHBCVQ2ZQOQER6/bundle.json","state_url":"https://pith.science/pith/7Z2BL5WDEBQCLHBCVQ2ZQOQER6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7Z2BL5WDEBQCLHBCVQ2ZQOQER6/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":"2026-08-09T07:53:52Z","links":{"resolver":"https://pith.science/pith/7Z2BL5WDEBQCLHBCVQ2ZQOQER6","bundle":"https://pith.science/pith/7Z2BL5WDEBQCLHBCVQ2ZQOQER6/bundle.json","state":"https://pith.science/pith/7Z2BL5WDEBQCLHBCVQ2ZQOQER6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7Z2BL5WDEBQCLHBCVQ2ZQOQER6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7Z2BL5WDEBQCLHBCVQ2ZQOQER6","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":"eddee329ff8c895cbdbdd77eeeac6dd34416f3664c010857b768804685a9c30f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T13:23:34Z","title_canon_sha256":"da5ee95283d242bfe7bebb951dc62b0a1fa9950ec7e212301f3e060be8036184"},"schema_version":"1.0","source":{"id":"2504.00773","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00773","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00773v1","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00773","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"pith_short_12","alias_value":"7Z2BL5WDEBQC","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"pith_short_16","alias_value":"7Z2BL5WDEBQCLHBC","created_at":"2026-07-05T10:42:50Z"},{"alias_kind":"pith_short_8","alias_value":"7Z2BL5WD","created_at":"2026-07-05T10:42:50Z"}],"graph_snapshots":[{"event_id":"sha256:50746fa4658f61bb6b07a10de5d3b7323d178190bc53cd05097854080fc8ed45","target":"graph","created_at":"2026-07-05T10:42:50Z","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/2504.00773/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, 3D Gaussian splatting (3DGS) has gained considerable attentions in the field of novel view synthesis due to its fast performance while yielding the excellent image quality. However, 3DGS in sparse-view settings (e.g., three-view inputs) often faces with the problem of overfitting to training views, which significantly drops the visual quality of novel view images. Many existing approaches have tackled this issue by using strong priors, such as 2D generative contextual information and external depth signals. In contrast, this paper introduces a prior-free method, so-called DropGaussia","authors_text":"Gun Ryu, Hyunwoo Park, Wonjun Kim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T13:23:34Z","title":"DropGaussian: Structural Regularization for Sparse-view Gaussian Splatting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00773","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:c2e2c3899e44c2cc5d9a88c0b23fa5082fef61afb288254bafe93708909699dd","target":"record","created_at":"2026-07-05T10:42:50Z","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":"eddee329ff8c895cbdbdd77eeeac6dd34416f3664c010857b768804685a9c30f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T13:23:34Z","title_canon_sha256":"da5ee95283d242bfe7bebb951dc62b0a1fa9950ec7e212301f3e060be8036184"},"schema_version":"1.0","source":{"id":"2504.00773","kind":"arxiv","version":1}},"canonical_sha256":"fe7415f6c32060259c22ac35983a048f90ecc8a1cd72698758957723116e04b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe7415f6c32060259c22ac35983a048f90ecc8a1cd72698758957723116e04b2","first_computed_at":"2026-07-05T10:42:50.172346Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:42:50.172346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"On/JBERCVpcUnvqwC5Uqd69prNXKAq7Hj/cqvjINjYNO1srJE9/EqYT0MMxAMH0q8o3YlDcMhcGkHK/25y01DA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:42:50.172837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.00773","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2e2c3899e44c2cc5d9a88c0b23fa5082fef61afb288254bafe93708909699dd","sha256:50746fa4658f61bb6b07a10de5d3b7323d178190bc53cd05097854080fc8ed45"],"state_sha256":"f5a84d8f56edd53be486f60c5924521d8f0b71cfe63e57fec9e959b58df06567"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KXbwzMc+qsOM10+UhMs/p3/UPlMIp5WsH2X2LbjAnpmcRLlpByLBKRUg7oPMQEy6MupAZyPaP5gzI+qlpA6zAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T07:53:52.568363Z","bundle_sha256":"7de20e0107d385b632393d4e83e774810f81b75c671c2372ed483a54c55e7670"}}