{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:B7YLPZRHSFPOYGFYJ5PPCUIEHO","short_pith_number":"pith:B7YLPZRH","canonical_record":{"source":{"id":"2405.17958","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T08:40:14Z","cross_cats_sorted":[],"title_canon_sha256":"9cfd0d0c7ebeb3fde64d5d2ee332e95032a28c08797ec59f4f0194e95a14542f","abstract_canon_sha256":"9465d1b8e266875a4a8f5b6f1e62442a57200c29fa9ccbd05b4ffd5b988f2ad5"},"schema_version":"1.0"},"canonical_sha256":"0ff0b7e627915eec18b84f5ef151043bb5cb19f26b05ee4a21c6ed0874e269be","source":{"kind":"arxiv","id":"2405.17958","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17958","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17958v3","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17958","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"pith_short_12","alias_value":"B7YLPZRHSFPO","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"pith_short_16","alias_value":"B7YLPZRHSFPOYGFY","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"pith_short_8","alias_value":"B7YLPZRH","created_at":"2026-07-05T09:27:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:B7YLPZRHSFPOYGFYJ5PPCUIEHO","target":"record","payload":{"canonical_record":{"source":{"id":"2405.17958","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T08:40:14Z","cross_cats_sorted":[],"title_canon_sha256":"9cfd0d0c7ebeb3fde64d5d2ee332e95032a28c08797ec59f4f0194e95a14542f","abstract_canon_sha256":"9465d1b8e266875a4a8f5b6f1e62442a57200c29fa9ccbd05b4ffd5b988f2ad5"},"schema_version":"1.0"},"canonical_sha256":"0ff0b7e627915eec18b84f5ef151043bb5cb19f26b05ee4a21c6ed0874e269be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:27:22.338668Z","signature_b64":"DdCZ7PpnoE4c3kWD2qCUxlJ/3j+yJcqFtgm7PVc6zs66oXXRd8/4oOPw2EajbPlApmINzEYBxmH3nCjlDL+wAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ff0b7e627915eec18b84f5ef151043bb5cb19f26b05ee4a21c6ed0874e269be","last_reissued_at":"2026-07-05T09:27:22.338129Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:27:22.338129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.17958","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:27:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R/u1ZU4UO0t9o/Ncd3RQdX+M0YQEvpXiHUb3/aiLlrO9VftQR9UDc4JF6kVqPheUQeKsc6vuePrWaIiE36nXCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:54:25.796057Z"},"content_sha256":"8499a5a1d0310fc4580c32246b2657576962bd7d07cfe01b3a9e19ff47c2a67f","schema_version":"1.0","event_id":"sha256:8499a5a1d0310fc4580c32246b2657576962bd7d07cfe01b3a9e19ff47c2a67f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:B7YLPZRHSFPOYGFYJ5PPCUIEHO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gim Hee Lee, Hanlin Chen, Tianxin Huang, Yunsong Wang","submitted_at":"2024-05-28T08:40:14Z","abstract_excerpt":"Empowering 3D Gaussian Splatting with generalization ability is appealing. However, existing generalizable 3D Gaussian Splatting methods are largely confined to narrow-range interpolation between stereo images due to their heavy backbones, thus lacking the ability to accurately localize 3D Gaussian and support free-view synthesis across wide view range. In this paper, we present a novel framework FreeSplat that is capable of reconstructing geometrically consistent 3D scenes from long sequence input towards free-view synthesis.Specifically, we firstly introduce Low-cost Cross-View Aggregation a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17958","kind":"arxiv","version":3},"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/2405.17958/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":"2026-07-05T09:27:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FBifN8yYH9U2ShMS8/7sViznF3Sidibm/N1U24SWEq0tktTfLT7eCdOIRsKXVJPNoGxbwf3tzF6/g/rpC11wBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:54:25.796562Z"},"content_sha256":"5b73ced340bd47120139ce7546e3ea24d28a93e960543a15b74d52e33205fd8d","schema_version":"1.0","event_id":"sha256:5b73ced340bd47120139ce7546e3ea24d28a93e960543a15b74d52e33205fd8d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B7YLPZRHSFPOYGFYJ5PPCUIEHO/bundle.json","state_url":"https://pith.science/pith/B7YLPZRHSFPOYGFYJ5PPCUIEHO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B7YLPZRHSFPOYGFYJ5PPCUIEHO/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":"2026-08-05T15:54:25Z","links":{"resolver":"https://pith.science/pith/B7YLPZRHSFPOYGFYJ5PPCUIEHO","bundle":"https://pith.science/pith/B7YLPZRHSFPOYGFYJ5PPCUIEHO/bundle.json","state":"https://pith.science/pith/B7YLPZRHSFPOYGFYJ5PPCUIEHO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B7YLPZRHSFPOYGFYJ5PPCUIEHO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:B7YLPZRHSFPOYGFYJ5PPCUIEHO","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":"9465d1b8e266875a4a8f5b6f1e62442a57200c29fa9ccbd05b4ffd5b988f2ad5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T08:40:14Z","title_canon_sha256":"9cfd0d0c7ebeb3fde64d5d2ee332e95032a28c08797ec59f4f0194e95a14542f"},"schema_version":"1.0","source":{"id":"2405.17958","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17958","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17958v3","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17958","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"pith_short_12","alias_value":"B7YLPZRHSFPO","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"pith_short_16","alias_value":"B7YLPZRHSFPOYGFY","created_at":"2026-07-05T09:27:22Z"},{"alias_kind":"pith_short_8","alias_value":"B7YLPZRH","created_at":"2026-07-05T09:27:22Z"}],"graph_snapshots":[{"event_id":"sha256:5b73ced340bd47120139ce7546e3ea24d28a93e960543a15b74d52e33205fd8d","target":"graph","created_at":"2026-07-05T09:27:22Z","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/2405.17958/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Empowering 3D Gaussian Splatting with generalization ability is appealing. However, existing generalizable 3D Gaussian Splatting methods are largely confined to narrow-range interpolation between stereo images due to their heavy backbones, thus lacking the ability to accurately localize 3D Gaussian and support free-view synthesis across wide view range. In this paper, we present a novel framework FreeSplat that is capable of reconstructing geometrically consistent 3D scenes from long sequence input towards free-view synthesis.Specifically, we firstly introduce Low-cost Cross-View Aggregation a","authors_text":"Gim Hee Lee, Hanlin Chen, Tianxin Huang, Yunsong Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T08:40:14Z","title":"FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17958","kind":"arxiv","version":3},"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":"sha256:8499a5a1d0310fc4580c32246b2657576962bd7d07cfe01b3a9e19ff47c2a67f","target":"record","created_at":"2026-07-05T09:27:22Z","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":"9465d1b8e266875a4a8f5b6f1e62442a57200c29fa9ccbd05b4ffd5b988f2ad5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T08:40:14Z","title_canon_sha256":"9cfd0d0c7ebeb3fde64d5d2ee332e95032a28c08797ec59f4f0194e95a14542f"},"schema_version":"1.0","source":{"id":"2405.17958","kind":"arxiv","version":3}},"canonical_sha256":"0ff0b7e627915eec18b84f5ef151043bb5cb19f26b05ee4a21c6ed0874e269be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ff0b7e627915eec18b84f5ef151043bb5cb19f26b05ee4a21c6ed0874e269be","first_computed_at":"2026-07-05T09:27:22.338129Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:27:22.338129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DdCZ7PpnoE4c3kWD2qCUxlJ/3j+yJcqFtgm7PVc6zs66oXXRd8/4oOPw2EajbPlApmINzEYBxmH3nCjlDL+wAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:27:22.338668Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.17958","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8499a5a1d0310fc4580c32246b2657576962bd7d07cfe01b3a9e19ff47c2a67f","sha256:5b73ced340bd47120139ce7546e3ea24d28a93e960543a15b74d52e33205fd8d"],"state_sha256":"e80840918293f616bcabfa310105062f6285a5a16aa1571eded48cea98603638"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lazQgUI5eQoFrkMVh2NJkVMWxclaN5FLzwiXyibKNs7vcUhMAO0YYQwME8yK+eIvKyA1ntEKTNBvZ8z5Vj95DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:54:25.802083Z","bundle_sha256":"307856dba499a1c0d177762f1dff549797a9ce1536f16f2ae5110b82e163c945"}}