{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PJ3KBAYRCZ6P4OTV6O4D26X5GA","short_pith_number":"pith:PJ3KBAYR","canonical_record":{"source":{"id":"2410.00672","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T13:30:51Z","cross_cats_sorted":[],"title_canon_sha256":"951c881fa3de9714213b304811125f466caf9adfa4ece508f859f5f68e335c8b","abstract_canon_sha256":"3d9e79108f20d80106b7ba5d227d6088b817467aeec1d486d4812bc2169b5881"},"schema_version":"1.0"},"canonical_sha256":"7a76a08311167cfe3a75f3b83d7afd301c4f8ccf560234c4af9c6fa2264db91f","source":{"kind":"arxiv","id":"2410.00672","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00672","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00672v1","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00672","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"pith_short_12","alias_value":"PJ3KBAYRCZ6P","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"pith_short_16","alias_value":"PJ3KBAYRCZ6P4OTV","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"pith_short_8","alias_value":"PJ3KBAYR","created_at":"2026-07-05T09:14:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PJ3KBAYRCZ6P4OTV6O4D26X5GA","target":"record","payload":{"canonical_record":{"source":{"id":"2410.00672","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T13:30:51Z","cross_cats_sorted":[],"title_canon_sha256":"951c881fa3de9714213b304811125f466caf9adfa4ece508f859f5f68e335c8b","abstract_canon_sha256":"3d9e79108f20d80106b7ba5d227d6088b817467aeec1d486d4812bc2169b5881"},"schema_version":"1.0"},"canonical_sha256":"7a76a08311167cfe3a75f3b83d7afd301c4f8ccf560234c4af9c6fa2264db91f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:14:08.756398Z","signature_b64":"NJJx75rx12OuH+fxRKDZ8xLCu5IPjcoA0KhaVfglqflrJKu19nEya3AqT/R7W2xGApV3eOMc4NK0f1YNy6vOBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a76a08311167cfe3a75f3b83d7afd301c4f8ccf560234c4af9c6fa2264db91f","last_reissued_at":"2026-07-05T09:14:08.755856Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:14:08.755856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.00672","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":"2026-07-05T09:14:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G8gz8lQeFdIvxcbAF6MnPl8mO25/Q9gzUpgYfTeP6ZToFUmJ4xufQdPcsfSWTbJ8dwjx5bSbpfsUgpZ4ZBguCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:11:46.105657Z"},"content_sha256":"9b79c177acffa68b7f29331b0ff8d9356ba0425b5d23fd5180e052e181dabe83","schema_version":"1.0","event_id":"sha256:9b79c177acffa68b7f29331b0ff8d9356ba0425b5d23fd5180e052e181dabe83"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PJ3KBAYRCZ6P4OTV6O4D26X5GA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hyun-Kurl Jang, Kuk-Jin Yoon, Youngho Yoon","submitted_at":"2024-10-01T13:30:51Z","abstract_excerpt":"Novel view synthesis (NVS) aims to generate images at arbitrary viewpoints using multi-view images, and recent insights from neural radiance fields (NeRF) have contributed to remarkable improvements. Recently, studies on generalizable NeRF (G-NeRF) have addressed the challenge of per-scene optimization in NeRFs. The construction of radiance fields on-the-fly in G-NeRF simplifies the NVS process, making it well-suited for real-world applications. Meanwhile, G-NeRF still struggles in representing fine details for a specific scene due to the absence of per-scene optimization, even with texture-ri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00672","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/2410.00672/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":"2026-07-05T09:14:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F7fTPUbwkqoQXPIxDfGFvQfwkIAsTV7SLNYoMVzkuXMO2Fxg1vCEl0hMdHgTQ49CFqoeBpSRrJAkEBYH+wZ0DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:11:46.106240Z"},"content_sha256":"8604d58253f271a6dff97803245a1438a40f1b1f2c186b0c0eaab4c6dacad861","schema_version":"1.0","event_id":"sha256:8604d58253f271a6dff97803245a1438a40f1b1f2c186b0c0eaab4c6dacad861"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PJ3KBAYRCZ6P4OTV6O4D26X5GA/bundle.json","state_url":"https://pith.science/pith/PJ3KBAYRCZ6P4OTV6O4D26X5GA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PJ3KBAYRCZ6P4OTV6O4D26X5GA/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":"2026-08-13T13:11:46Z","links":{"resolver":"https://pith.science/pith/PJ3KBAYRCZ6P4OTV6O4D26X5GA","bundle":"https://pith.science/pith/PJ3KBAYRCZ6P4OTV6O4D26X5GA/bundle.json","state":"https://pith.science/pith/PJ3KBAYRCZ6P4OTV6O4D26X5GA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PJ3KBAYRCZ6P4OTV6O4D26X5GA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PJ3KBAYRCZ6P4OTV6O4D26X5GA","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":"3d9e79108f20d80106b7ba5d227d6088b817467aeec1d486d4812bc2169b5881","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T13:30:51Z","title_canon_sha256":"951c881fa3de9714213b304811125f466caf9adfa4ece508f859f5f68e335c8b"},"schema_version":"1.0","source":{"id":"2410.00672","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.00672","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"arxiv_version","alias_value":"2410.00672v1","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.00672","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"pith_short_12","alias_value":"PJ3KBAYRCZ6P","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"pith_short_16","alias_value":"PJ3KBAYRCZ6P4OTV","created_at":"2026-07-05T09:14:08Z"},{"alias_kind":"pith_short_8","alias_value":"PJ3KBAYR","created_at":"2026-07-05T09:14:08Z"}],"graph_snapshots":[{"event_id":"sha256:8604d58253f271a6dff97803245a1438a40f1b1f2c186b0c0eaab4c6dacad861","target":"graph","created_at":"2026-07-05T09:14:08Z","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/2410.00672/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Novel view synthesis (NVS) aims to generate images at arbitrary viewpoints using multi-view images, and recent insights from neural radiance fields (NeRF) have contributed to remarkable improvements. Recently, studies on generalizable NeRF (G-NeRF) have addressed the challenge of per-scene optimization in NeRFs. The construction of radiance fields on-the-fly in G-NeRF simplifies the NVS process, making it well-suited for real-world applications. Meanwhile, G-NeRF still struggles in representing fine details for a specific scene due to the absence of per-scene optimization, even with texture-ri","authors_text":"Hyun-Kurl Jang, Kuk-Jin Yoon, Youngho Yoon","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T13:30:51Z","title":"GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.00672","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":"sha256:9b79c177acffa68b7f29331b0ff8d9356ba0425b5d23fd5180e052e181dabe83","target":"record","created_at":"2026-07-05T09:14:08Z","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":"3d9e79108f20d80106b7ba5d227d6088b817467aeec1d486d4812bc2169b5881","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-01T13:30:51Z","title_canon_sha256":"951c881fa3de9714213b304811125f466caf9adfa4ece508f859f5f68e335c8b"},"schema_version":"1.0","source":{"id":"2410.00672","kind":"arxiv","version":1}},"canonical_sha256":"7a76a08311167cfe3a75f3b83d7afd301c4f8ccf560234c4af9c6fa2264db91f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a76a08311167cfe3a75f3b83d7afd301c4f8ccf560234c4af9c6fa2264db91f","first_computed_at":"2026-07-05T09:14:08.755856Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:08.755856Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NJJx75rx12OuH+fxRKDZ8xLCu5IPjcoA0KhaVfglqflrJKu19nEya3AqT/R7W2xGApV3eOMc4NK0f1YNy6vOBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:08.756398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.00672","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b79c177acffa68b7f29331b0ff8d9356ba0425b5d23fd5180e052e181dabe83","sha256:8604d58253f271a6dff97803245a1438a40f1b1f2c186b0c0eaab4c6dacad861"],"state_sha256":"5115586ed7666c5d36daf441bef4604a65dcc00289f22648f09bb721b7f36437"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Gwc/wazvi8CwVPCMbiCH0isbVWXjRiA1p9jU+c/yGEiw5uee055HrNiQILUpYTO2nLB9A2XZ/u6esaOVRfcDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T13:11:46.112196Z","bundle_sha256":"ea044d0448988df4ff483a64b624ffe0a1315a3f1531401312dda5530ef18b46"}}