{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PPB4PZAQPGNUZYXOWRVJXYZIRU","short_pith_number":"pith:PPB4PZAQ","canonical_record":{"source":{"id":"2505.00702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T17:59:34Z","cross_cats_sorted":[],"title_canon_sha256":"17408b248077e760c2b0c4cf512ab83d1f43f74d0a43ec085ff3329a0823071d","abstract_canon_sha256":"019aa7fe5138eef9f34464b83e1ca69ce56795f75fd3e0db6fc67465b376516b"},"schema_version":"1.0"},"canonical_sha256":"7bc3c7e410799b4ce2eeb46a9be3288d3aceeaaed06e590fe815e9e62b96b51f","source":{"kind":"arxiv","id":"2505.00702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00702","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00702v1","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00702","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"pith_short_12","alias_value":"PPB4PZAQPGNU","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"pith_short_16","alias_value":"PPB4PZAQPGNUZYXO","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"pith_short_8","alias_value":"PPB4PZAQ","created_at":"2026-07-05T10:57:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PPB4PZAQPGNUZYXOWRVJXYZIRU","target":"record","payload":{"canonical_record":{"source":{"id":"2505.00702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T17:59:34Z","cross_cats_sorted":[],"title_canon_sha256":"17408b248077e760c2b0c4cf512ab83d1f43f74d0a43ec085ff3329a0823071d","abstract_canon_sha256":"019aa7fe5138eef9f34464b83e1ca69ce56795f75fd3e0db6fc67465b376516b"},"schema_version":"1.0"},"canonical_sha256":"7bc3c7e410799b4ce2eeb46a9be3288d3aceeaaed06e590fe815e9e62b96b51f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:57:24.355663Z","signature_b64":"g2EhfeHSdOzVqU282813aRDpEh2D4BCOZpsgQHiIfzHsY5RzBKqOV1H/leAf2f6Oe39wGlhKxf4J3vbYxV+zDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7bc3c7e410799b4ce2eeb46a9be3288d3aceeaaed06e590fe815e9e62b96b51f","last_reissued_at":"2026-07-05T10:57:24.355183Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:57:24.355183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.00702","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":"2026-07-05T10:57:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U8avzlNTqPJqkkEQUyw2WO7KHLJch65YG0KtKvD8h+v+ngUAPujvN+Dah6w5sCbE5+L0ONwFwU1ArtOeFVJMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T14:54:24.544123Z"},"content_sha256":"ddc7080da74e15a1d2d4a3f29cab7b2c562b277bf87683ff092feca24a2f5c1b","schema_version":"1.0","event_id":"sha256:ddc7080da74e15a1d2d4a3f29cab7b2c562b277bf87683ff092feca24a2f5c1b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PPB4PZAQPGNUZYXOWRVJXYZIRU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RayZer: A Self-supervised Large View Synthesis Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fujun Luan, Georgios Pavlakos, Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Kalyan Sunkavalli, Peng Wang, Qixing Huang, Sai Bi, Yue Zhao","submitted_at":"2025-05-01T17:59:34Z","abstract_excerpt":"We present RayZer, a self-supervised multi-view 3D Vision model trained without any 3D supervision, i.e., camera poses and scene geometry, while exhibiting emerging 3D awareness. Concretely, RayZer takes unposed and uncalibrated images as input, recovers camera parameters, reconstructs a scene representation, and synthesizes novel views. During training, RayZer relies solely on its self-predicted camera poses to render target views, eliminating the need for any ground-truth camera annotations and allowing RayZer to be trained with 2D image supervision. The emerging 3D awareness of RayZer is at"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00702","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/2505.00702/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":"2026-07-05T10:57:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DZteSBl8w7IhIKc3ivtCSx0PGSmllEYp/HIuuuVSishFvhzWi+a8lhnVxp4ruIEy75dElkbD7OhrVArkKbijDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T14:54:24.544451Z"},"content_sha256":"e6aef1cfbecc372f8c5a624a4f0cf4ef3d9efb84aa28fbc564094dd5de2a29f9","schema_version":"1.0","event_id":"sha256:e6aef1cfbecc372f8c5a624a4f0cf4ef3d9efb84aa28fbc564094dd5de2a29f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PPB4PZAQPGNUZYXOWRVJXYZIRU/bundle.json","state_url":"https://pith.science/pith/PPB4PZAQPGNUZYXOWRVJXYZIRU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PPB4PZAQPGNUZYXOWRVJXYZIRU/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":"2026-08-21T14:54:24Z","links":{"resolver":"https://pith.science/pith/PPB4PZAQPGNUZYXOWRVJXYZIRU","bundle":"https://pith.science/pith/PPB4PZAQPGNUZYXOWRVJXYZIRU/bundle.json","state":"https://pith.science/pith/PPB4PZAQPGNUZYXOWRVJXYZIRU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PPB4PZAQPGNUZYXOWRVJXYZIRU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PPB4PZAQPGNUZYXOWRVJXYZIRU","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":"019aa7fe5138eef9f34464b83e1ca69ce56795f75fd3e0db6fc67465b376516b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T17:59:34Z","title_canon_sha256":"17408b248077e760c2b0c4cf512ab83d1f43f74d0a43ec085ff3329a0823071d"},"schema_version":"1.0","source":{"id":"2505.00702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00702","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00702v1","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00702","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"pith_short_12","alias_value":"PPB4PZAQPGNU","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"pith_short_16","alias_value":"PPB4PZAQPGNUZYXO","created_at":"2026-07-05T10:57:24Z"},{"alias_kind":"pith_short_8","alias_value":"PPB4PZAQ","created_at":"2026-07-05T10:57:24Z"}],"graph_snapshots":[{"event_id":"sha256:e6aef1cfbecc372f8c5a624a4f0cf4ef3d9efb84aa28fbc564094dd5de2a29f9","target":"graph","created_at":"2026-07-05T10:57:24Z","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/2505.00702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present RayZer, a self-supervised multi-view 3D Vision model trained without any 3D supervision, i.e., camera poses and scene geometry, while exhibiting emerging 3D awareness. Concretely, RayZer takes unposed and uncalibrated images as input, recovers camera parameters, reconstructs a scene representation, and synthesizes novel views. During training, RayZer relies solely on its self-predicted camera poses to render target views, eliminating the need for any ground-truth camera annotations and allowing RayZer to be trained with 2D image supervision. The emerging 3D awareness of RayZer is at","authors_text":"Fujun Luan, Georgios Pavlakos, Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Kalyan Sunkavalli, Peng Wang, Qixing Huang, Sai Bi, Yue Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T17:59:34Z","title":"RayZer: A Self-supervised Large View Synthesis Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00702","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:ddc7080da74e15a1d2d4a3f29cab7b2c562b277bf87683ff092feca24a2f5c1b","target":"record","created_at":"2026-07-05T10:57:24Z","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":"019aa7fe5138eef9f34464b83e1ca69ce56795f75fd3e0db6fc67465b376516b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T17:59:34Z","title_canon_sha256":"17408b248077e760c2b0c4cf512ab83d1f43f74d0a43ec085ff3329a0823071d"},"schema_version":"1.0","source":{"id":"2505.00702","kind":"arxiv","version":1}},"canonical_sha256":"7bc3c7e410799b4ce2eeb46a9be3288d3aceeaaed06e590fe815e9e62b96b51f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7bc3c7e410799b4ce2eeb46a9be3288d3aceeaaed06e590fe815e9e62b96b51f","first_computed_at":"2026-07-05T10:57:24.355183Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:24.355183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g2EhfeHSdOzVqU282813aRDpEh2D4BCOZpsgQHiIfzHsY5RzBKqOV1H/leAf2f6Oe39wGlhKxf4J3vbYxV+zDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:24.355663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddc7080da74e15a1d2d4a3f29cab7b2c562b277bf87683ff092feca24a2f5c1b","sha256:e6aef1cfbecc372f8c5a624a4f0cf4ef3d9efb84aa28fbc564094dd5de2a29f9"],"state_sha256":"154c57c75400d9b19872c41b5cfad138a3eb95df1c1b01f256a9745f45b39151"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ox9ArKF+IiSUJFJmXnMPQ1xX/Kji0b59f8gWpNkVjEu00u8K83MYXuzAxVeD2iEJ+2yaMQwo16m+d8RBzo7CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T14:54:24.548116Z","bundle_sha256":"9f8e6fb1e1e0258b4f6b1b51c7b11dad5c46f53f84e667e97389406bcb01dbdf"}}