{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:K5YG3TUL2YVGW7SX6WJ4UOQQXP","short_pith_number":"pith:K5YG3TUL","canonical_record":{"source":{"id":"2409.06704","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T17:59:55Z","cross_cats_sorted":[],"title_canon_sha256":"fe8c0150eb88a06cd089ff8e2a31a3ae13b87d8983f8e49557182a54d288045b","abstract_canon_sha256":"f8a31aef8abc9f99fcbe43179785deb58fc6baf9102069de07585aa3266751d0"},"schema_version":"1.0"},"canonical_sha256":"57706dce8bd62a6b7e57f593ca3a10bbd16302db3e24c14980acee5e91297065","source":{"kind":"arxiv","id":"2409.06704","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.06704","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"arxiv_version","alias_value":"2409.06704v2","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.06704","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_12","alias_value":"K5YG3TUL2YVG","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_16","alias_value":"K5YG3TUL2YVGW7SX","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_8","alias_value":"K5YG3TUL","created_at":"2026-07-05T09:21:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:K5YG3TUL2YVGW7SX6WJ4UOQQXP","target":"record","payload":{"canonical_record":{"source":{"id":"2409.06704","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T17:59:55Z","cross_cats_sorted":[],"title_canon_sha256":"fe8c0150eb88a06cd089ff8e2a31a3ae13b87d8983f8e49557182a54d288045b","abstract_canon_sha256":"f8a31aef8abc9f99fcbe43179785deb58fc6baf9102069de07585aa3266751d0"},"schema_version":"1.0"},"canonical_sha256":"57706dce8bd62a6b7e57f593ca3a10bbd16302db3e24c14980acee5e91297065","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:21:48.574002Z","signature_b64":"GGgfsAhtfcur5af/89KULIupXL7Ny+UidsLG/8SCg4Ezs2JQQaBcRiVtSrow79PO82fY4wxQ2P6Oy3EJask7Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"57706dce8bd62a6b7e57f593ca3a10bbd16302db3e24c14980acee5e91297065","last_reissued_at":"2026-07-05T09:21:48.573511Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:21:48.573511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.06704","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:21:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PB9XI14lFAc1NrwkxWgj8JKu2ICeXB/q+pbr1nf3sN2oBsxRfUeVmLfkGshKbOQ1QkVzU50q4MtCMq6HBLyqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:47:47.655670Z"},"content_sha256":"0293da1ef15287f8e09801e70bdb04ea1dd488e86a576cc719efc87b9eb57933","schema_version":"1.0","event_id":"sha256:0293da1ef15287f8e09801e70bdb04ea1dd488e86a576cc719efc87b9eb57933"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:K5YG3TUL2YVGW7SX6WJ4UOQQXP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GeoCalib: Learning Single-image Calibration with Geometric Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Veicht, Marc Pollefeys, Paul-Edouard Sarlin, Philipp Lindenberger","submitted_at":"2024-09-10T17:59:55Z","abstract_excerpt":"From a single image, visual cues can help deduce intrinsic and extrinsic camera parameters like the focal length and the gravity direction. This single-image calibration can benefit various downstream applications like image editing and 3D mapping. Current approaches to this problem are based on either classical geometry with lines and vanishing points or on deep neural networks trained end-to-end. The learned approaches are more robust but struggle to generalize to new environments and are less accurate than their classical counterparts. We hypothesize that they lack the constraints that 3D g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.06704","kind":"arxiv","version":2},"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/2409.06704/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":"2026-07-05T09:21:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KG6m0DsyR3kRg417E1QpErqwXZTGT4rfUJ1eMpxyYeqQjorV07OCTrOnbNh8FN/TQu1JsJPAI1WA3oDjk39hBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:47:47.656638Z"},"content_sha256":"940e5ba34b7b67838e584aca324a8aedaab2e2d972a8ecd6372dbd1c1b659ccf","schema_version":"1.0","event_id":"sha256:940e5ba34b7b67838e584aca324a8aedaab2e2d972a8ecd6372dbd1c1b659ccf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K5YG3TUL2YVGW7SX6WJ4UOQQXP/bundle.json","state_url":"https://pith.science/pith/K5YG3TUL2YVGW7SX6WJ4UOQQXP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K5YG3TUL2YVGW7SX6WJ4UOQQXP/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":"2026-08-10T20:47:47Z","links":{"resolver":"https://pith.science/pith/K5YG3TUL2YVGW7SX6WJ4UOQQXP","bundle":"https://pith.science/pith/K5YG3TUL2YVGW7SX6WJ4UOQQXP/bundle.json","state":"https://pith.science/pith/K5YG3TUL2YVGW7SX6WJ4UOQQXP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K5YG3TUL2YVGW7SX6WJ4UOQQXP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:K5YG3TUL2YVGW7SX6WJ4UOQQXP","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":"f8a31aef8abc9f99fcbe43179785deb58fc6baf9102069de07585aa3266751d0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T17:59:55Z","title_canon_sha256":"fe8c0150eb88a06cd089ff8e2a31a3ae13b87d8983f8e49557182a54d288045b"},"schema_version":"1.0","source":{"id":"2409.06704","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.06704","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"arxiv_version","alias_value":"2409.06704v2","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.06704","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_12","alias_value":"K5YG3TUL2YVG","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_16","alias_value":"K5YG3TUL2YVGW7SX","created_at":"2026-07-05T09:21:48Z"},{"alias_kind":"pith_short_8","alias_value":"K5YG3TUL","created_at":"2026-07-05T09:21:48Z"}],"graph_snapshots":[{"event_id":"sha256:940e5ba34b7b67838e584aca324a8aedaab2e2d972a8ecd6372dbd1c1b659ccf","target":"graph","created_at":"2026-07-05T09:21:48Z","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/2409.06704/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"From a single image, visual cues can help deduce intrinsic and extrinsic camera parameters like the focal length and the gravity direction. This single-image calibration can benefit various downstream applications like image editing and 3D mapping. Current approaches to this problem are based on either classical geometry with lines and vanishing points or on deep neural networks trained end-to-end. The learned approaches are more robust but struggle to generalize to new environments and are less accurate than their classical counterparts. We hypothesize that they lack the constraints that 3D g","authors_text":"Alexander Veicht, Marc Pollefeys, Paul-Edouard Sarlin, Philipp Lindenberger","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T17:59:55Z","title":"GeoCalib: Learning Single-image Calibration with Geometric Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.06704","kind":"arxiv","version":2},"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":"sha256:0293da1ef15287f8e09801e70bdb04ea1dd488e86a576cc719efc87b9eb57933","target":"record","created_at":"2026-07-05T09:21:48Z","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":"f8a31aef8abc9f99fcbe43179785deb58fc6baf9102069de07585aa3266751d0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-10T17:59:55Z","title_canon_sha256":"fe8c0150eb88a06cd089ff8e2a31a3ae13b87d8983f8e49557182a54d288045b"},"schema_version":"1.0","source":{"id":"2409.06704","kind":"arxiv","version":2}},"canonical_sha256":"57706dce8bd62a6b7e57f593ca3a10bbd16302db3e24c14980acee5e91297065","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"57706dce8bd62a6b7e57f593ca3a10bbd16302db3e24c14980acee5e91297065","first_computed_at":"2026-07-05T09:21:48.573511Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:21:48.573511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GGgfsAhtfcur5af/89KULIupXL7Ny+UidsLG/8SCg4Ezs2JQQaBcRiVtSrow79PO82fY4wxQ2P6Oy3EJask7Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:21:48.574002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.06704","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0293da1ef15287f8e09801e70bdb04ea1dd488e86a576cc719efc87b9eb57933","sha256:940e5ba34b7b67838e584aca324a8aedaab2e2d972a8ecd6372dbd1c1b659ccf"],"state_sha256":"2540bb3a5d50403b793fbe9ad084e752c7b91bc0f5ede62ac693050e3beae00e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PhS4T2hUAo8ol7nTKu0gCbFo9JQz7Gxg1BJKPNEAMJ4l4UpbeHCiQOBaaP38/dbVGzADQNC37i6MZl99XJfSCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:47:47.715184Z","bundle_sha256":"fdaf6ff074820c6faf61f3fe1e60d4da1bf2dd686df6ed0a4a877ba81fdf3272"}}