{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:I45G6F46TKX4YE7MT2EFY4O6MA","short_pith_number":"pith:I45G6F46","canonical_record":{"source":{"id":"2606.19253","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T16:29:19Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"78a3d7776a59de9d1d6b2e6c2adb1b2ae40be9241ff5baa5ec0ffbd9e3671ee0","abstract_canon_sha256":"11942d7847705973af8f436639ca8154e182d44bc3c9ee8cf844a8a886c588fd"},"schema_version":"1.0"},"canonical_sha256":"473a6f179e9aafcc13ec9e885c71de602a21dff29bab0106f7254ec6b4941e4c","source":{"kind":"arxiv","id":"2606.19253","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19253","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19253v1","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19253","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"pith_short_12","alias_value":"I45G6F46TKX4","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"pith_short_16","alias_value":"I45G6F46TKX4YE7M","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"pith_short_8","alias_value":"I45G6F46","created_at":"2026-06-19T16:12:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:I45G6F46TKX4YE7MT2EFY4O6MA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.19253","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T16:29:19Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"78a3d7776a59de9d1d6b2e6c2adb1b2ae40be9241ff5baa5ec0ffbd9e3671ee0","abstract_canon_sha256":"11942d7847705973af8f436639ca8154e182d44bc3c9ee8cf844a8a886c588fd"},"schema_version":"1.0"},"canonical_sha256":"473a6f179e9aafcc13ec9e885c71de602a21dff29bab0106f7254ec6b4941e4c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:08.876655Z","signature_b64":"nzAIhIlWr+8Sd676cnp4gYS/h53U7anpMbKQ0i2+/Qlc8MqBLvrpLl8lf7UvhIHRRlQuqQm47cfI4I9mOtWLDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"473a6f179e9aafcc13ec9e885c71de602a21dff29bab0106f7254ec6b4941e4c","last_reissued_at":"2026-06-19T16:12:08.876303Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:08.876303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.19253","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":"2026-06-19T16:12:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dJJp23n8GuXo1oAchXkvsSWIpzSArMCHTC3KCQ+y5+SUVoty7DEi5v2KO3j9L6CHhPbCvOE0m7aDxg41B12tBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T18:20:39.356968Z"},"content_sha256":"563cb7707f5df26939a0d337ccdef0659d0b7d60bcbd213f60e7f1f1bc4f2d5b","schema_version":"1.0","event_id":"sha256:563cb7707f5df26939a0d337ccdef0659d0b7d60bcbd213f60e7f1f1bc4f2d5b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:I45G6F46TKX4YE7MT2EFY4O6MA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OneCanvas: 3D Scene Understanding via Panoramic Reprojection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Bart{\\l}omiej Baranowski, Dave Zhenyu Chen, Matthias Nie{\\ss}ner","submitted_at":"2026-06-17T16:29:19Z","abstract_excerpt":"Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific geometry encoders or large training budgets in pursuit of spatial reasoning. Instead, OneCanvas aggregates patch features from all views onto a single equirectangular panoramic canvas. Namely, each patch is unprojected to a 3D world coordinate using its depth and camera pose, then placed on the canvas at the continuous longitude and latitude of that point as seen from the canvas origin, with no rasterization or aggregation across overlapping views. A 3D position embedding of th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19253","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/2606.19253/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":"2026-06-19T16:12:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZBuq2pEpdLkxPWf0TZrsZd5jSdJTBOE8j2zAmmvftidqoT54Wf/5PpY283YlRB5mvtSJIHvB7uGPOoLHMFGoBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T18:20:39.357362Z"},"content_sha256":"54e6c2f19ceff93de039e08f5aaff391b70781e8c339ccc8554b7b95b32896b4","schema_version":"1.0","event_id":"sha256:54e6c2f19ceff93de039e08f5aaff391b70781e8c339ccc8554b7b95b32896b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I45G6F46TKX4YE7MT2EFY4O6MA/bundle.json","state_url":"https://pith.science/pith/I45G6F46TKX4YE7MT2EFY4O6MA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I45G6F46TKX4YE7MT2EFY4O6MA/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":"2026-07-04T18:20:39Z","links":{"resolver":"https://pith.science/pith/I45G6F46TKX4YE7MT2EFY4O6MA","bundle":"https://pith.science/pith/I45G6F46TKX4YE7MT2EFY4O6MA/bundle.json","state":"https://pith.science/pith/I45G6F46TKX4YE7MT2EFY4O6MA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I45G6F46TKX4YE7MT2EFY4O6MA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:I45G6F46TKX4YE7MT2EFY4O6MA","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":"11942d7847705973af8f436639ca8154e182d44bc3c9ee8cf844a8a886c588fd","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T16:29:19Z","title_canon_sha256":"78a3d7776a59de9d1d6b2e6c2adb1b2ae40be9241ff5baa5ec0ffbd9e3671ee0"},"schema_version":"1.0","source":{"id":"2606.19253","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19253","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19253v1","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19253","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"pith_short_12","alias_value":"I45G6F46TKX4","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"pith_short_16","alias_value":"I45G6F46TKX4YE7M","created_at":"2026-06-19T16:12:08Z"},{"alias_kind":"pith_short_8","alias_value":"I45G6F46","created_at":"2026-06-19T16:12:08Z"}],"graph_snapshots":[{"event_id":"sha256:54e6c2f19ceff93de039e08f5aaff391b70781e8c339ccc8554b7b95b32896b4","target":"graph","created_at":"2026-06-19T16:12:08Z","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/2606.19253/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific geometry encoders or large training budgets in pursuit of spatial reasoning. Instead, OneCanvas aggregates patch features from all views onto a single equirectangular panoramic canvas. Namely, each patch is unprojected to a 3D world coordinate using its depth and camera pose, then placed on the canvas at the continuous longitude and latitude of that point as seen from the canvas origin, with no rasterization or aggregation across overlapping views. A 3D position embedding of th","authors_text":"Bart{\\l}omiej Baranowski, Dave Zhenyu Chen, Matthias Nie{\\ss}ner","cross_cats":["cs.AI","cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T16:29:19Z","title":"OneCanvas: 3D Scene Understanding via Panoramic Reprojection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19253","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":"sha256:563cb7707f5df26939a0d337ccdef0659d0b7d60bcbd213f60e7f1f1bc4f2d5b","target":"record","created_at":"2026-06-19T16:12:08Z","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":"11942d7847705973af8f436639ca8154e182d44bc3c9ee8cf844a8a886c588fd","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T16:29:19Z","title_canon_sha256":"78a3d7776a59de9d1d6b2e6c2adb1b2ae40be9241ff5baa5ec0ffbd9e3671ee0"},"schema_version":"1.0","source":{"id":"2606.19253","kind":"arxiv","version":1}},"canonical_sha256":"473a6f179e9aafcc13ec9e885c71de602a21dff29bab0106f7254ec6b4941e4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"473a6f179e9aafcc13ec9e885c71de602a21dff29bab0106f7254ec6b4941e4c","first_computed_at":"2026-06-19T16:12:08.876303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:08.876303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nzAIhIlWr+8Sd676cnp4gYS/h53U7anpMbKQ0i2+/Qlc8MqBLvrpLl8lf7UvhIHRRlQuqQm47cfI4I9mOtWLDQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:08.876655Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19253","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:563cb7707f5df26939a0d337ccdef0659d0b7d60bcbd213f60e7f1f1bc4f2d5b","sha256:54e6c2f19ceff93de039e08f5aaff391b70781e8c339ccc8554b7b95b32896b4"],"state_sha256":"2b5102586d38d3d10db9531c30ba24948eb6a0d7ff85be020612381c0494440f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h7VfFuTZ2yxDME0PHZ9C3+LCe1iHNFfwFra7iNfFSDdS7hEbCGZJZQz2xZb6QdrjEe6fIDgf5Q7/67tcleYFCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T18:20:39.359415Z","bundle_sha256":"b221c4a70c700430e8a077baf5b0f16c0f5b7ed951ecfaff262dd4fd87aeb910"}}