{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CPHA7PNW74PD6TW6VKKPPCNUYV","short_pith_number":"pith:CPHA7PNW","canonical_record":{"source":{"id":"2006.03997","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T23:44:05Z","cross_cats_sorted":[],"title_canon_sha256":"fa8fbf59e12d90c614db54e63ddfcc9eecac0239d1d62db849ee9514eff6db00","abstract_canon_sha256":"4d158bdd1f1eefbc1225fd7e5935767e0192b3cda31b7aa1be119cd370c85311"},"schema_version":"1.0"},"canonical_sha256":"13ce0fbdb6ff1e3f4edeaa94f789b4c56c966903a4aceccbada6d30a168fdb2b","source":{"kind":"arxiv","id":"2006.03997","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.03997","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"arxiv_version","alias_value":"2006.03997v2","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.03997","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"pith_short_12","alias_value":"CPHA7PNW74PD","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"pith_short_16","alias_value":"CPHA7PNW74PD6TW6","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"pith_short_8","alias_value":"CPHA7PNW","created_at":"2026-07-05T01:48:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CPHA7PNW74PD6TW6VKKPPCNUYV","target":"record","payload":{"canonical_record":{"source":{"id":"2006.03997","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T23:44:05Z","cross_cats_sorted":[],"title_canon_sha256":"fa8fbf59e12d90c614db54e63ddfcc9eecac0239d1d62db849ee9514eff6db00","abstract_canon_sha256":"4d158bdd1f1eefbc1225fd7e5935767e0192b3cda31b7aa1be119cd370c85311"},"schema_version":"1.0"},"canonical_sha256":"13ce0fbdb6ff1e3f4edeaa94f789b4c56c966903a4aceccbada6d30a168fdb2b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:48:10.147864Z","signature_b64":"guYPwUULsSuzSvldmifjPcQsJk71QxwFVq94xJw1p8wAeB0yuEzY0HsNFlgP1Mzj3tYC8a8I33HVFEUTibWiDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13ce0fbdb6ff1e3f4edeaa94f789b4c56c966903a4aceccbada6d30a168fdb2b","last_reissued_at":"2026-07-05T01:48:10.147377Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:48:10.147377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.03997","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":"2026-07-05T01:48:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D/d6NtQ9ejVbMG8W+iWKUewZYlL9at+seZzfdwxGZ+Sr83wOCVjPj+Ul3BKxzkkYXSqa8byuso4QdhoUHMJuDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:26:36.892640Z"},"content_sha256":"0fa52140e3c79a4280e25cdeb84b977edb56e87989c698533b94109c7f65c540","schema_version":"1.0","event_id":"sha256:0fa52140e3c79a4280e25cdeb84b977edb56e87989c698533b94109c7f65c540"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CPHA7PNW74PD6TW6VKKPPCNUYV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MeshSDF: Differentiable Iso-Surface Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Artem Lukoianov, Beno\\^it Guillard, Edoardo Remelli, Pascal Fua, Pierre Baque, Stephan R. Richter, Timur Bagautdinov","submitted_at":"2020-06-06T23:44:05Z","abstract_excerpt":"Geometric Deep Learning has recently made striking progress with the advent of continuous Deep Implicit Fields. They allow for detailed modeling of watertight surfaces of arbitrary topology while not relying on a 3D Euclidean grid, resulting in a learnable parameterization that is not limited in resolution.\n  Unfortunately, these methods are often not suitable for applications that require an explicit mesh-based surface representation because converting an implicit field to such a representation relies on the Marching Cubes algorithm, which cannot be differentiated with respect to the underlyi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.03997","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/2006.03997/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":"2026-07-05T01:48:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mktCC6rFln1XgGxUwW0KEZGQ+Ucxw45aSuEf2PgGJHYNTrcG1dRLn6KfvjPrUH7lPs+XqAV7PnN3uZ2QUi6cDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:26:36.896551Z"},"content_sha256":"f58bbc9ba480e8e513c7a77b7e5ee6cadcc9cc18c4216cd093e0bd5c2e1d0a3d","schema_version":"1.0","event_id":"sha256:f58bbc9ba480e8e513c7a77b7e5ee6cadcc9cc18c4216cd093e0bd5c2e1d0a3d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CPHA7PNW74PD6TW6VKKPPCNUYV/bundle.json","state_url":"https://pith.science/pith/CPHA7PNW74PD6TW6VKKPPCNUYV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CPHA7PNW74PD6TW6VKKPPCNUYV/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":"2026-08-08T21:26:36Z","links":{"resolver":"https://pith.science/pith/CPHA7PNW74PD6TW6VKKPPCNUYV","bundle":"https://pith.science/pith/CPHA7PNW74PD6TW6VKKPPCNUYV/bundle.json","state":"https://pith.science/pith/CPHA7PNW74PD6TW6VKKPPCNUYV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CPHA7PNW74PD6TW6VKKPPCNUYV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CPHA7PNW74PD6TW6VKKPPCNUYV","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":"4d158bdd1f1eefbc1225fd7e5935767e0192b3cda31b7aa1be119cd370c85311","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T23:44:05Z","title_canon_sha256":"fa8fbf59e12d90c614db54e63ddfcc9eecac0239d1d62db849ee9514eff6db00"},"schema_version":"1.0","source":{"id":"2006.03997","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.03997","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"arxiv_version","alias_value":"2006.03997v2","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.03997","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"pith_short_12","alias_value":"CPHA7PNW74PD","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"pith_short_16","alias_value":"CPHA7PNW74PD6TW6","created_at":"2026-07-05T01:48:10Z"},{"alias_kind":"pith_short_8","alias_value":"CPHA7PNW","created_at":"2026-07-05T01:48:10Z"}],"graph_snapshots":[{"event_id":"sha256:f58bbc9ba480e8e513c7a77b7e5ee6cadcc9cc18c4216cd093e0bd5c2e1d0a3d","target":"graph","created_at":"2026-07-05T01:48:10Z","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/2006.03997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Geometric Deep Learning has recently made striking progress with the advent of continuous Deep Implicit Fields. They allow for detailed modeling of watertight surfaces of arbitrary topology while not relying on a 3D Euclidean grid, resulting in a learnable parameterization that is not limited in resolution.\n  Unfortunately, these methods are often not suitable for applications that require an explicit mesh-based surface representation because converting an implicit field to such a representation relies on the Marching Cubes algorithm, which cannot be differentiated with respect to the underlyi","authors_text":"Artem Lukoianov, Beno\\^it Guillard, Edoardo Remelli, Pascal Fua, Pierre Baque, Stephan R. Richter, Timur Bagautdinov","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T23:44:05Z","title":"MeshSDF: Differentiable Iso-Surface Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.03997","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":"sha256:0fa52140e3c79a4280e25cdeb84b977edb56e87989c698533b94109c7f65c540","target":"record","created_at":"2026-07-05T01:48:10Z","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":"4d158bdd1f1eefbc1225fd7e5935767e0192b3cda31b7aa1be119cd370c85311","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-06T23:44:05Z","title_canon_sha256":"fa8fbf59e12d90c614db54e63ddfcc9eecac0239d1d62db849ee9514eff6db00"},"schema_version":"1.0","source":{"id":"2006.03997","kind":"arxiv","version":2}},"canonical_sha256":"13ce0fbdb6ff1e3f4edeaa94f789b4c56c966903a4aceccbada6d30a168fdb2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13ce0fbdb6ff1e3f4edeaa94f789b4c56c966903a4aceccbada6d30a168fdb2b","first_computed_at":"2026-07-05T01:48:10.147377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:48:10.147377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"guYPwUULsSuzSvldmifjPcQsJk71QxwFVq94xJw1p8wAeB0yuEzY0HsNFlgP1Mzj3tYC8a8I33HVFEUTibWiDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:48:10.147864Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.03997","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0fa52140e3c79a4280e25cdeb84b977edb56e87989c698533b94109c7f65c540","sha256:f58bbc9ba480e8e513c7a77b7e5ee6cadcc9cc18c4216cd093e0bd5c2e1d0a3d"],"state_sha256":"2c37c78de9a42ed1076da8b9cf3f61217c7db23beed83f7bcd11ca7f926413a9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zL0dwhLrIbVGLOPls7+KNNd6Gi0R7Ny1ftL/O50qBGhjAFMCb7NpE0APIaeaK5vh7IQ0uTAMsTEbLb9H+7I0Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:26:36.915123Z","bundle_sha256":"b365107616648572195c286b6fbea7a1182de8bb3bb1a4c8609ff56b1367c179"}}