{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7EBETJC44LT7PRT2UUJTTKOMLF","short_pith_number":"pith:7EBETJC4","canonical_record":{"source":{"id":"2505.19813","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T10:50:25Z","cross_cats_sorted":[],"title_canon_sha256":"dc79e75927a78bb544e950a5f3f9f124df36597a75ac7f05d411dda9adef3208","abstract_canon_sha256":"5c8cb221c3d3c4f962c0734e4ed05c65ed50e49de3e914c814e31f688bb3b46c"},"schema_version":"1.0"},"canonical_sha256":"f90249a45ce2e7f7c67aa51339a9cc594031d9b4cb4eedaf43bba4adf9ec60c1","source":{"kind":"arxiv","id":"2505.19813","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19813","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19813v1","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19813","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"pith_short_12","alias_value":"7EBETJC44LT7","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"pith_short_16","alias_value":"7EBETJC44LT7PRT2","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"pith_short_8","alias_value":"7EBETJC4","created_at":"2026-07-05T11:09:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7EBETJC44LT7PRT2UUJTTKOMLF","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19813","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T10:50:25Z","cross_cats_sorted":[],"title_canon_sha256":"dc79e75927a78bb544e950a5f3f9f124df36597a75ac7f05d411dda9adef3208","abstract_canon_sha256":"5c8cb221c3d3c4f962c0734e4ed05c65ed50e49de3e914c814e31f688bb3b46c"},"schema_version":"1.0"},"canonical_sha256":"f90249a45ce2e7f7c67aa51339a9cc594031d9b4cb4eedaf43bba4adf9ec60c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:48.245896Z","signature_b64":"5BSkbbtWULcfuyiRSJFfcWM4seGRKWw7SkuigTmGC49fp4NIbh7C7dZgVy2XNhCQPx3A36DOoavlr2RdQ21yCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f90249a45ce2e7f7c67aa51339a9cc594031d9b4cb4eedaf43bba4adf9ec60c1","last_reissued_at":"2026-07-05T11:09:48.245371Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:48.245371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19813","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":"2026-07-05T11:09:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rfsW253fzmaekCdGobsIZqyInqUtCR6YBD7UMHJiyLox5K0+L/GKtLR34bgka+/WhSZV+NM4aF4NjivjkKVtBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:20:43.673239Z"},"content_sha256":"ed3e9c42ff74164b3341bad1347ca5e88aadb13098309e9f7ffdf8b060b66bfa","schema_version":"1.0","event_id":"sha256:ed3e9c42ff74164b3341bad1347ca5e88aadb13098309e9f7ffdf8b060b66bfa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7EBETJC44LT7PRT2UUJTTKOMLF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fei Hu, Hao Zhu, Li Fang, Long Ye, You Wang, Zhan Ma","submitted_at":"2025-05-26T10:50:25Z","abstract_excerpt":"Neural Radiance Fields (NeRF) have transformed novel view synthesis by modeling scene-specific volumetric representations directly from images. While generalizable NeRF models can generate novel views across unknown scenes by learning latent ray representations, their performance heavily depends on a large number of multi-view observations. However, with limited input views, these methods experience significant degradation in rendering quality. To address this limitation, we propose GoLF-NRT: a Global and Local feature Fusion-based Neural Rendering Transformer. GoLF-NRT enhances generalizable "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19813","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/2505.19813/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":"2026-07-05T11:09:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SPFM2t8PMwEHTLOgkHYYNVQHQCWMlmFHYJBGxtdyIC2e8Sbo5mhKfsgEBaHoItLAqQaEy8zjNhFHggXf6BUMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:20:43.673831Z"},"content_sha256":"5de1558e82f14afd4d9148fb5f7fa7109fdc43feeb56464531c15302bbdcb202","schema_version":"1.0","event_id":"sha256:5de1558e82f14afd4d9148fb5f7fa7109fdc43feeb56464531c15302bbdcb202"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7EBETJC44LT7PRT2UUJTTKOMLF/bundle.json","state_url":"https://pith.science/pith/7EBETJC44LT7PRT2UUJTTKOMLF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7EBETJC44LT7PRT2UUJTTKOMLF/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":"2026-08-08T08:20:43Z","links":{"resolver":"https://pith.science/pith/7EBETJC44LT7PRT2UUJTTKOMLF","bundle":"https://pith.science/pith/7EBETJC44LT7PRT2UUJTTKOMLF/bundle.json","state":"https://pith.science/pith/7EBETJC44LT7PRT2UUJTTKOMLF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7EBETJC44LT7PRT2UUJTTKOMLF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7EBETJC44LT7PRT2UUJTTKOMLF","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":"5c8cb221c3d3c4f962c0734e4ed05c65ed50e49de3e914c814e31f688bb3b46c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T10:50:25Z","title_canon_sha256":"dc79e75927a78bb544e950a5f3f9f124df36597a75ac7f05d411dda9adef3208"},"schema_version":"1.0","source":{"id":"2505.19813","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19813","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19813v1","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19813","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"pith_short_12","alias_value":"7EBETJC44LT7","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"pith_short_16","alias_value":"7EBETJC44LT7PRT2","created_at":"2026-07-05T11:09:48Z"},{"alias_kind":"pith_short_8","alias_value":"7EBETJC4","created_at":"2026-07-05T11:09:48Z"}],"graph_snapshots":[{"event_id":"sha256:5de1558e82f14afd4d9148fb5f7fa7109fdc43feeb56464531c15302bbdcb202","target":"graph","created_at":"2026-07-05T11:09:48Z","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/2505.19813/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural Radiance Fields (NeRF) have transformed novel view synthesis by modeling scene-specific volumetric representations directly from images. While generalizable NeRF models can generate novel views across unknown scenes by learning latent ray representations, their performance heavily depends on a large number of multi-view observations. However, with limited input views, these methods experience significant degradation in rendering quality. To address this limitation, we propose GoLF-NRT: a Global and Local feature Fusion-based Neural Rendering Transformer. GoLF-NRT enhances generalizable ","authors_text":"Fei Hu, Hao Zhu, Li Fang, Long Ye, You Wang, Zhan Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T10:50:25Z","title":"GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19813","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:ed3e9c42ff74164b3341bad1347ca5e88aadb13098309e9f7ffdf8b060b66bfa","target":"record","created_at":"2026-07-05T11:09:48Z","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":"5c8cb221c3d3c4f962c0734e4ed05c65ed50e49de3e914c814e31f688bb3b46c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T10:50:25Z","title_canon_sha256":"dc79e75927a78bb544e950a5f3f9f124df36597a75ac7f05d411dda9adef3208"},"schema_version":"1.0","source":{"id":"2505.19813","kind":"arxiv","version":1}},"canonical_sha256":"f90249a45ce2e7f7c67aa51339a9cc594031d9b4cb4eedaf43bba4adf9ec60c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f90249a45ce2e7f7c67aa51339a9cc594031d9b4cb4eedaf43bba4adf9ec60c1","first_computed_at":"2026-07-05T11:09:48.245371Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:48.245371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5BSkbbtWULcfuyiRSJFfcWM4seGRKWw7SkuigTmGC49fp4NIbh7C7dZgVy2XNhCQPx3A36DOoavlr2RdQ21yCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:48.245896Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19813","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed3e9c42ff74164b3341bad1347ca5e88aadb13098309e9f7ffdf8b060b66bfa","sha256:5de1558e82f14afd4d9148fb5f7fa7109fdc43feeb56464531c15302bbdcb202"],"state_sha256":"ee390a6e5f6f6858f580f7dfecfdf731438141faef9b6a8a3138b8c1ecd27fde"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nf975hlkcjHmQrD05J126mSsj9EmZCnbvgQ24MwMm0Tgv/ogsis19J57yOL5DYx91gmxXvg0jcvog8AJwK06DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:20:43.677522Z","bundle_sha256":"d86d9410502907142609403d856292b57d27d9c7aee116fd9bb9c2568873a34a"}}