{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NHR6G3Q3462SOEFDT7FPWEIL35","short_pith_number":"pith:NHR6G3Q3","canonical_record":{"source":{"id":"2606.21292","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T10:16:29Z","cross_cats_sorted":[],"title_canon_sha256":"f46a13ac02aa1eea9787c7d332f37eb0972f99bdf2ddefc7944a019f871294a3","abstract_canon_sha256":"9adcb46e076ebcbc90e9b62b223867ec6ce54429d55721a4dfec1e49e022bb72"},"schema_version":"1.0"},"canonical_sha256":"69e3e36e1be7b52710a39fcafb110bdf63004c78485b7a28c10d809496f35d1d","source":{"kind":"arxiv","id":"2606.21292","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21292","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21292v1","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21292","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"pith_short_12","alias_value":"NHR6G3Q3462S","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"pith_short_16","alias_value":"NHR6G3Q3462SOEFD","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"pith_short_8","alias_value":"NHR6G3Q3","created_at":"2026-06-23T01:12:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NHR6G3Q3462SOEFDT7FPWEIL35","target":"record","payload":{"canonical_record":{"source":{"id":"2606.21292","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T10:16:29Z","cross_cats_sorted":[],"title_canon_sha256":"f46a13ac02aa1eea9787c7d332f37eb0972f99bdf2ddefc7944a019f871294a3","abstract_canon_sha256":"9adcb46e076ebcbc90e9b62b223867ec6ce54429d55721a4dfec1e49e022bb72"},"schema_version":"1.0"},"canonical_sha256":"69e3e36e1be7b52710a39fcafb110bdf63004c78485b7a28c10d809496f35d1d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:12:36.203742Z","signature_b64":"11IMFD0aWyrWm63g6xjPhdY9ifgK0oE72wakSCxlgi9njzTRQ4UCluli30Y5abpKz3z4lIPWOJVE3nfslGBTAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69e3e36e1be7b52710a39fcafb110bdf63004c78485b7a28c10d809496f35d1d","last_reissued_at":"2026-06-23T01:12:36.203217Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:12:36.203217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.21292","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":"2026-06-23T01:12:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xqawiplaWMpepcyby6yDGOBzFbsgukaxenuJ0OqoP3nXZD8w7FGhRew8rgx2bNHc7x2JabaUIaSKxDxu6yYDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:07:15.746314Z"},"content_sha256":"992e121db0b94876f57c5ddc417111181b95b726f16a54f4ac9367ba67d01708","schema_version":"1.0","event_id":"sha256:992e121db0b94876f57c5ddc417111181b95b726f16a54f4ac9367ba67d01708"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NHR6G3Q3462SOEFDT7FPWEIL35","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lightweight 3D Feature Pretraining by Bayesian Inversion of 2D Foundation Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antoine Manzanera, David Filliat, Gianni Franchi, Marwane Hariat","submitted_at":"2026-06-19T10:16:29Z","abstract_excerpt":"We present Casper3D, a lightweight probabilistic framework for converting noisy multi-view 2D foundation-model embeddings into a latent 3D semantic representation. We model view-level semantic features as noisy observations of an underlying 3D semantic state and infer this state with a set-based variational model that incorporates relative pose during multi-view reasoning. Casper3D is trained by predicting held-out semantic observations from novel viewpoints, while remaining aligned with visual and text semantic spaces for open-vocabulary 3D understanding. The framework is backbone-agnostic an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21292","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/2606.21292/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":"2026-06-23T01:12:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0743LX8g0N+dKw1BK4IPR62stB6hdBMMcmc6apTf/lzVD5OygPmmppGI5M/rTEA/FUTVQkTYzur28o4tHOSHCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:07:15.747558Z"},"content_sha256":"a876248223d03b18916d14bd7c766c5676a1df8aa0f3dc0923dde46c07f41968","schema_version":"1.0","event_id":"sha256:a876248223d03b18916d14bd7c766c5676a1df8aa0f3dc0923dde46c07f41968"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NHR6G3Q3462SOEFDT7FPWEIL35/bundle.json","state_url":"https://pith.science/pith/NHR6G3Q3462SOEFDT7FPWEIL35/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NHR6G3Q3462SOEFDT7FPWEIL35/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":"2026-08-03T17:07:15Z","links":{"resolver":"https://pith.science/pith/NHR6G3Q3462SOEFDT7FPWEIL35","bundle":"https://pith.science/pith/NHR6G3Q3462SOEFDT7FPWEIL35/bundle.json","state":"https://pith.science/pith/NHR6G3Q3462SOEFDT7FPWEIL35/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NHR6G3Q3462SOEFDT7FPWEIL35/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NHR6G3Q3462SOEFDT7FPWEIL35","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":"9adcb46e076ebcbc90e9b62b223867ec6ce54429d55721a4dfec1e49e022bb72","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T10:16:29Z","title_canon_sha256":"f46a13ac02aa1eea9787c7d332f37eb0972f99bdf2ddefc7944a019f871294a3"},"schema_version":"1.0","source":{"id":"2606.21292","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21292","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21292v1","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21292","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"pith_short_12","alias_value":"NHR6G3Q3462S","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"pith_short_16","alias_value":"NHR6G3Q3462SOEFD","created_at":"2026-06-23T01:12:36Z"},{"alias_kind":"pith_short_8","alias_value":"NHR6G3Q3","created_at":"2026-06-23T01:12:36Z"}],"graph_snapshots":[{"event_id":"sha256:a876248223d03b18916d14bd7c766c5676a1df8aa0f3dc0923dde46c07f41968","target":"graph","created_at":"2026-06-23T01:12:36Z","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/2606.21292/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Casper3D, a lightweight probabilistic framework for converting noisy multi-view 2D foundation-model embeddings into a latent 3D semantic representation. We model view-level semantic features as noisy observations of an underlying 3D semantic state and infer this state with a set-based variational model that incorporates relative pose during multi-view reasoning. Casper3D is trained by predicting held-out semantic observations from novel viewpoints, while remaining aligned with visual and text semantic spaces for open-vocabulary 3D understanding. The framework is backbone-agnostic an","authors_text":"Antoine Manzanera, David Filliat, Gianni Franchi, Marwane Hariat","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T10:16:29Z","title":"Lightweight 3D Feature Pretraining by Bayesian Inversion of 2D Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21292","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":"sha256:992e121db0b94876f57c5ddc417111181b95b726f16a54f4ac9367ba67d01708","target":"record","created_at":"2026-06-23T01:12:36Z","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":"9adcb46e076ebcbc90e9b62b223867ec6ce54429d55721a4dfec1e49e022bb72","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-19T10:16:29Z","title_canon_sha256":"f46a13ac02aa1eea9787c7d332f37eb0972f99bdf2ddefc7944a019f871294a3"},"schema_version":"1.0","source":{"id":"2606.21292","kind":"arxiv","version":1}},"canonical_sha256":"69e3e36e1be7b52710a39fcafb110bdf63004c78485b7a28c10d809496f35d1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69e3e36e1be7b52710a39fcafb110bdf63004c78485b7a28c10d809496f35d1d","first_computed_at":"2026-06-23T01:12:36.203217Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:12:36.203217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"11IMFD0aWyrWm63g6xjPhdY9ifgK0oE72wakSCxlgi9njzTRQ4UCluli30Y5abpKz3z4lIPWOJVE3nfslGBTAw==","signature_status":"signed_v1","signed_at":"2026-06-23T01:12:36.203742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21292","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:992e121db0b94876f57c5ddc417111181b95b726f16a54f4ac9367ba67d01708","sha256:a876248223d03b18916d14bd7c766c5676a1df8aa0f3dc0923dde46c07f41968"],"state_sha256":"2c8afa57cdb00bbd7592baaf80b0823436434e915df770e58224a2a7491a79fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yBAuA1mBX+mEMynsG5EEYxz1TjBJ2FDgQ35ynETEUKkAqvO/5mG2R8iD3jJFMXhp4zKWh9MwAbIIx4unYa71Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:07:15.753783Z","bundle_sha256":"5c04b3eb5c38d82550abb809e3d5faddf54cc04639d849676c9bcb29f98abec3"}}