{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:FTJWIZUVVUYG4MW73BMC22VEAG","short_pith_number":"pith:FTJWIZUV","canonical_record":{"source":{"id":"2607.07749","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T10:25:21Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"7c9079628b8a7397b62bbe9b2aa960fb1834f56dd73f94b2e4f92fe8df41e398","abstract_canon_sha256":"9120740479d517dfcca05079458143e4c9f21571504fb8b4bdea61fc6806bb4e"},"schema_version":"1.0"},"canonical_sha256":"2cd3646695ad306e32dfd8582d6aa401ab7b8dd01bbbacf0bdfe33a8d2ce90ab","source":{"kind":"arxiv","id":"2607.07749","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.07749","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.07749v1","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07749","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_12","alias_value":"FTJWIZUVVUYG","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_16","alias_value":"FTJWIZUVVUYG4MW7","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_8","alias_value":"FTJWIZUV","created_at":"2026-07-10T00:18:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:FTJWIZUVVUYG4MW73BMC22VEAG","target":"record","payload":{"canonical_record":{"source":{"id":"2607.07749","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T10:25:21Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"7c9079628b8a7397b62bbe9b2aa960fb1834f56dd73f94b2e4f92fe8df41e398","abstract_canon_sha256":"9120740479d517dfcca05079458143e4c9f21571504fb8b4bdea61fc6806bb4e"},"schema_version":"1.0"},"canonical_sha256":"2cd3646695ad306e32dfd8582d6aa401ab7b8dd01bbbacf0bdfe33a8d2ce90ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T00:18:47.833838Z","signature_b64":"mHX7WXzBlFg4JGT8eyKZEABY/COxz74EocqBhS4sPcah6asEd6iGsXqeIDMAw53+l5D7xORbEGPhkP6l0ejQAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2cd3646695ad306e32dfd8582d6aa401ab7b8dd01bbbacf0bdfe33a8d2ce90ab","last_reissued_at":"2026-07-10T00:18:47.833397Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T00:18:47.833397Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.07749","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":"2026-07-10T00:18:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W0i1ijJpF4bqABJZJJqOZI/tvPrWGi+6QDTsIqbRucnDOebr0aHbHvbdIPCqa7btlTk6l2Cy1KKcvE0se9yZBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:17:47.339089Z"},"content_sha256":"15bf2d600af25dc4f2c4166d4b1cba968ebc6e4725601799f0751d9126f91d51","schema_version":"1.0","event_id":"sha256:15bf2d600af25dc4f2c4166d4b1cba968ebc6e4725601799f0751d9126f91d51"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:FTJWIZUVVUYG4MW73BMC22VEAG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Projected Energy Matching for Generative 3D Priors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"eess.IV","authors_text":"Bjoern Menze, Chinmay Prabhakar, Daniel Barco, Frank-Peter Schilling, Michal Balcerak, Philipp Denzel, Suprosanna Shit","submitted_at":"2026-07-08T10:25:21Z","abstract_excerpt":"Energy Matching has emerged as a powerful generative framework that combines flow model efficiency with the explicit likelihood of Energy-Based Models (EBMs) via a single, time-independent scalar potential. However, directly training this potential on high-dimensional 3D data remains computationally challenging. While distilling a pre-trained flow model circumvents some of the initial training costs, we demonstrate that velocity fields inevitably contain non-conservative rotational artifacts (curl). Forcing a strictly conservative scalar potential to match this unconstrained field creates a \"s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07749","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/2607.07749/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":"2026-07-10T00:18:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YrBFkOBrtzIz5txSY+CbEAJIrX4U3gJcJHfAuy78kWriKLGF5vWIwzrxOa/y4nagkkRbkxfePRYEj2+zQkcjAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:17:47.341743Z"},"content_sha256":"e459ea626567a86e1b2575d738b0e4faef6f95754f2ff5a04bf3558b95cff5e6","schema_version":"1.0","event_id":"sha256:e459ea626567a86e1b2575d738b0e4faef6f95754f2ff5a04bf3558b95cff5e6"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:FTJWIZUVVUYG4MW73BMC22VEAG","target":"integrity","payload":{"note":"Identifier '10.5555/3495724.3496298' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Ho, Jonathan and Jain, Ajay and Abbeel, Pieter , year =. Denoising. Advances in. doi:10.5555/3495724.3496298 , abstract =","arxiv_id":"2607.07749","detector":"doi_compliance","evidence":{"doi":"10.5555/3495724.3496298","arxiv_id":null,"ref_index":3,"raw_excerpt":"Ho, Jonathan and Jain, Ajay and Abbeel, Pieter , year =. Denoising. Advances in. doi:10.5555/3495724.3496298 , abstract =","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":3,"audited_at":"2026-07-10T19:49:12.002452Z","event_type":"pith.integrity.v1","detected_doi":"10.5555/3495724.3496298","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"3c63987d60377b3f36b01dc6ae25848c78995fd72d9b261cfb66e2e93e124acc","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":12042,"payload_sha256":"f1310acc4909592ca90ae02719e788d51373d65eeda8796b2474f08c0656e026","signature_b64":"R/x7zKeiz38kQZkjxBfOBb6RBx7uHWBxGnxBwTkM2hiceHM5HZwsfBBHji5rprKOEq2LIOmLB7dNam8TFBHcBg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-10T19:49:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mVURkTnEUftxOGePXLuKC1hq7sNr+M/xLVyAmrMwugLX4/6+61ZwGivXmBeaBDGktTWfRBwhVHPQ+eFfX/NgCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T02:17:47.348405Z"},"content_sha256":"1ab638d170b061bd85d6e36a3c3a797e78986bf38803ee6a9313e5fd19a9cbf1","schema_version":"1.0","event_id":"sha256:1ab638d170b061bd85d6e36a3c3a797e78986bf38803ee6a9313e5fd19a9cbf1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FTJWIZUVVUYG4MW73BMC22VEAG/bundle.json","state_url":"https://pith.science/pith/FTJWIZUVVUYG4MW73BMC22VEAG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FTJWIZUVVUYG4MW73BMC22VEAG/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":"2026-08-06T02:17:47Z","links":{"resolver":"https://pith.science/pith/FTJWIZUVVUYG4MW73BMC22VEAG","bundle":"https://pith.science/pith/FTJWIZUVVUYG4MW73BMC22VEAG/bundle.json","state":"https://pith.science/pith/FTJWIZUVVUYG4MW73BMC22VEAG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FTJWIZUVVUYG4MW73BMC22VEAG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FTJWIZUVVUYG4MW73BMC22VEAG","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9120740479d517dfcca05079458143e4c9f21571504fb8b4bdea61fc6806bb4e","cross_cats_sorted":["q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T10:25:21Z","title_canon_sha256":"7c9079628b8a7397b62bbe9b2aa960fb1834f56dd73f94b2e4f92fe8df41e398"},"schema_version":"1.0","source":{"id":"2607.07749","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.07749","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.07749v1","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.07749","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_12","alias_value":"FTJWIZUVVUYG","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_16","alias_value":"FTJWIZUVVUYG4MW7","created_at":"2026-07-10T00:18:47Z"},{"alias_kind":"pith_short_8","alias_value":"FTJWIZUV","created_at":"2026-07-10T00:18:47Z"}],"graph_snapshots":[{"event_id":"sha256:e459ea626567a86e1b2575d738b0e4faef6f95754f2ff5a04bf3558b95cff5e6","target":"graph","created_at":"2026-07-10T00:18:47Z","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/2607.07749/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Energy Matching has emerged as a powerful generative framework that combines flow model efficiency with the explicit likelihood of Energy-Based Models (EBMs) via a single, time-independent scalar potential. However, directly training this potential on high-dimensional 3D data remains computationally challenging. While distilling a pre-trained flow model circumvents some of the initial training costs, we demonstrate that velocity fields inevitably contain non-conservative rotational artifacts (curl). Forcing a strictly conservative scalar potential to match this unconstrained field creates a \"s","authors_text":"Bjoern Menze, Chinmay Prabhakar, Daniel Barco, Frank-Peter Schilling, Michal Balcerak, Philipp Denzel, Suprosanna Shit","cross_cats":["q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T10:25:21Z","title":"Projected Energy Matching for Generative 3D Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.07749","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":"sha256:15bf2d600af25dc4f2c4166d4b1cba968ebc6e4725601799f0751d9126f91d51","target":"record","created_at":"2026-07-10T00:18:47Z","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":"9120740479d517dfcca05079458143e4c9f21571504fb8b4bdea61fc6806bb4e","cross_cats_sorted":["q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2026-07-08T10:25:21Z","title_canon_sha256":"7c9079628b8a7397b62bbe9b2aa960fb1834f56dd73f94b2e4f92fe8df41e398"},"schema_version":"1.0","source":{"id":"2607.07749","kind":"arxiv","version":1}},"canonical_sha256":"2cd3646695ad306e32dfd8582d6aa401ab7b8dd01bbbacf0bdfe33a8d2ce90ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cd3646695ad306e32dfd8582d6aa401ab7b8dd01bbbacf0bdfe33a8d2ce90ab","first_computed_at":"2026-07-10T00:18:47.833397Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T00:18:47.833397Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mHX7WXzBlFg4JGT8eyKZEABY/COxz74EocqBhS4sPcah6asEd6iGsXqeIDMAw53+l5D7xORbEGPhkP6l0ejQAg==","signature_status":"signed_v1","signed_at":"2026-07-10T00:18:47.833838Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.07749","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15bf2d600af25dc4f2c4166d4b1cba968ebc6e4725601799f0751d9126f91d51","sha256:e459ea626567a86e1b2575d738b0e4faef6f95754f2ff5a04bf3558b95cff5e6","sha256:1ab638d170b061bd85d6e36a3c3a797e78986bf38803ee6a9313e5fd19a9cbf1"],"state_sha256":"6ad6a6caf44d2ded7f65b2c0f9c92f96b1052265b9bcbc24bff34fb76cba7e7e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"15coRpEWB0QeMfCv6qJWz0cGDE7kq0iDoQmRUDv3/TBA6QtzOTjd4sl8Ojbq2Fx1gEdIq90XaKbBhAlCvjNoCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T02:17:47.354311Z","bundle_sha256":"5671faed2bdaa6e3e3119548769bf3940e2f84707e4ab0f28cf0cd8d37a81732"}}