{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AWFMU5NA42Z5LLUAHRP3H7RR3X","short_pith_number":"pith:AWFMU5NA","canonical_record":{"source":{"id":"2607.02674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T18:10:34Z","cross_cats_sorted":[],"title_canon_sha256":"29f21ba53c02c8f69150d93e9afa9951840ec94daebcc7fafa33d7e057c94b2d","abstract_canon_sha256":"1597f26388cea4893db405907670cab33cc6b5000c63f849b8d8bd7608add9be"},"schema_version":"1.0"},"canonical_sha256":"058aca75a0e6b3d5ae803c5fb3fe31ddfaaca73dc51238013486cb9dd60d4efc","source":{"kind":"arxiv","id":"2607.02674","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02674","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02674v1","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02674","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"pith_short_12","alias_value":"AWFMU5NA42Z5","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"pith_short_16","alias_value":"AWFMU5NA42Z5LLUA","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"pith_short_8","alias_value":"AWFMU5NA","created_at":"2026-07-07T00:16:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AWFMU5NA42Z5LLUAHRP3H7RR3X","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02674","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T18:10:34Z","cross_cats_sorted":[],"title_canon_sha256":"29f21ba53c02c8f69150d93e9afa9951840ec94daebcc7fafa33d7e057c94b2d","abstract_canon_sha256":"1597f26388cea4893db405907670cab33cc6b5000c63f849b8d8bd7608add9be"},"schema_version":"1.0"},"canonical_sha256":"058aca75a0e6b3d5ae803c5fb3fe31ddfaaca73dc51238013486cb9dd60d4efc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T00:16:07.381562Z","signature_b64":"NhJmegNSkFqFleHqr6cBRxBsDnB79YtQqGlYXqDq6lrw7jXHnDLumCNjWPO1ztClPzTyVVHsiKabk3gnQjKKCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"058aca75a0e6b3d5ae803c5fb3fe31ddfaaca73dc51238013486cb9dd60d4efc","last_reissued_at":"2026-07-07T00:16:07.380837Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T00:16:07.380837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02674","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":"2026-07-07T00:16:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XmpyeyBrtgNGw+oca+0zb0O+izNesRXtYIdJn16Z5J+96fK2bF07kqqe9iyfUmf3mhPGeyPgKEYVkk92T39/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:09:00.792059Z"},"content_sha256":"743b1e2ea6861b67f580a147d56d905ef7afb521a1443ff96636a5b11955e882","schema_version":"1.0","event_id":"sha256:743b1e2ea6861b67f580a147d56d905ef7afb521a1443ff96636a5b11955e882"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AWFMU5NA42Z5LLUAHRP3H7RR3X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adam Kortylewski, Christian Theobalt, Haoran Wang, Mohit Mendiratta","submitted_at":"2026-07-02T18:10:34Z","abstract_excerpt":"Precise control of 3D facial expressions from text is crucial for virtual avatars, animation, and human-computer interaction, yet existing text-to-3D methods jointly generate identity, expression, and texture, making fine-grained expression control difficult. We instead formulate text-driven expression synthesis as a regression problem in the disentangled parameter space of a 3D Morphable Model (3DMM). This setting, however, requires paired data linking detailed language to precise expression parameters, which are missing from existing resources. To fill this gap, we introduce Txt2Emote, a ben"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02674","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/2607.02674/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":"2026-07-07T00:16:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AqgAKlYedolTPboAuHZ8hgMlHxmOftDDYNxmS1gVjggFGxO0TBrbT8gJaR9gWSEqSV2W0mVj9T+tdIU8Ou1PBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:09:00.792957Z"},"content_sha256":"fad0f892933b9710790529124d0504c4a78f0795cdf742cd7d04eaa5047ee486","schema_version":"1.0","event_id":"sha256:fad0f892933b9710790529124d0504c4a78f0795cdf742cd7d04eaa5047ee486"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:AWFMU5NA42Z5LLUAHRP3H7RR3X","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TPAMI.2020) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Karras, T., Laine, S., Aila, T.: A Style-Based Generator Architecture for Gener- ative Adversarial Networks . IEEE Transactions on Pattern Analysis & Machine Intelligence43(12), 4217–4228 (Dec 2021).https://doi.org/10.1109/TPAMI. 2020.29709","arxiv_id":"2607.02674","detector":"doi_compliance","evidence":{"ref_index":16,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Karras, T., Laine, S., Aila, T.: A Style-Based Generator Architecture for Gener- ative Adversarial Networks . IEEE Transactions on Pattern Analysis & Machine Intelligence43(12), 4217–4228 (Dec 2021).https://doi.org/10.1109/TPAMI. 2020.29709","reconstructed_doi":"10.1109/TPAMI.2020"},"severity":"advisory","ref_index":16,"audited_at":"2026-07-12T08:09:43.908298Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/TPAMI.2020","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"735b9c4d3022c7e110af5f7a416c72e73a1c3270c37ff0b67a87b0c58de4bab4","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":12553,"payload_sha256":"12f3e50e7d032153964cb4d020be8d188e2fc3040f2db5eeefa40b86ed43c60e","signature_b64":"FzwKePkjtVeZm0Grm3dmtlPuKi47abJqishCXpHXLo7NqCV27jEBe1rE0/5kzs8mj47fUFMD59iComdMEjKkBg==","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":"2026-07-12T08:12:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WeYUVHk0hMhLv06BBI4HKOjxAgjWIKXU7Ppd9hROAAIz8CTfWHEQlfhhytSy7sLBG+S0ikFIu8WOxqkVHzQ8AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:09:00.797796Z"},"content_sha256":"26cc2b44f3b820dd51a38398d0de42a01f53bc9c7b7bd754778ee787958ae240","schema_version":"1.0","event_id":"sha256:26cc2b44f3b820dd51a38398d0de42a01f53bc9c7b7bd754778ee787958ae240"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AWFMU5NA42Z5LLUAHRP3H7RR3X/bundle.json","state_url":"https://pith.science/pith/AWFMU5NA42Z5LLUAHRP3H7RR3X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AWFMU5NA42Z5LLUAHRP3H7RR3X/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":"2026-08-03T17:09:00Z","links":{"resolver":"https://pith.science/pith/AWFMU5NA42Z5LLUAHRP3H7RR3X","bundle":"https://pith.science/pith/AWFMU5NA42Z5LLUAHRP3H7RR3X/bundle.json","state":"https://pith.science/pith/AWFMU5NA42Z5LLUAHRP3H7RR3X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AWFMU5NA42Z5LLUAHRP3H7RR3X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AWFMU5NA42Z5LLUAHRP3H7RR3X","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":"1597f26388cea4893db405907670cab33cc6b5000c63f849b8d8bd7608add9be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T18:10:34Z","title_canon_sha256":"29f21ba53c02c8f69150d93e9afa9951840ec94daebcc7fafa33d7e057c94b2d"},"schema_version":"1.0","source":{"id":"2607.02674","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02674","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02674v1","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02674","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"pith_short_12","alias_value":"AWFMU5NA42Z5","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"pith_short_16","alias_value":"AWFMU5NA42Z5LLUA","created_at":"2026-07-07T00:16:07Z"},{"alias_kind":"pith_short_8","alias_value":"AWFMU5NA","created_at":"2026-07-07T00:16:07Z"}],"graph_snapshots":[{"event_id":"sha256:fad0f892933b9710790529124d0504c4a78f0795cdf742cd7d04eaa5047ee486","target":"graph","created_at":"2026-07-07T00:16:07Z","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/2607.02674/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precise control of 3D facial expressions from text is crucial for virtual avatars, animation, and human-computer interaction, yet existing text-to-3D methods jointly generate identity, expression, and texture, making fine-grained expression control difficult. We instead formulate text-driven expression synthesis as a regression problem in the disentangled parameter space of a 3D Morphable Model (3DMM). This setting, however, requires paired data linking detailed language to precise expression parameters, which are missing from existing resources. To fill this gap, we introduce Txt2Emote, a ben","authors_text":"Adam Kortylewski, Christian Theobalt, Haoran Wang, Mohit Mendiratta","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T18:10:34Z","title":"EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02674","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":"sha256:743b1e2ea6861b67f580a147d56d905ef7afb521a1443ff96636a5b11955e882","target":"record","created_at":"2026-07-07T00:16:07Z","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":"1597f26388cea4893db405907670cab33cc6b5000c63f849b8d8bd7608add9be","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T18:10:34Z","title_canon_sha256":"29f21ba53c02c8f69150d93e9afa9951840ec94daebcc7fafa33d7e057c94b2d"},"schema_version":"1.0","source":{"id":"2607.02674","kind":"arxiv","version":1}},"canonical_sha256":"058aca75a0e6b3d5ae803c5fb3fe31ddfaaca73dc51238013486cb9dd60d4efc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"058aca75a0e6b3d5ae803c5fb3fe31ddfaaca73dc51238013486cb9dd60d4efc","first_computed_at":"2026-07-07T00:16:07.380837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T00:16:07.380837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NhJmegNSkFqFleHqr6cBRxBsDnB79YtQqGlYXqDq6lrw7jXHnDLumCNjWPO1ztClPzTyVVHsiKabk3gnQjKKCQ==","signature_status":"signed_v1","signed_at":"2026-07-07T00:16:07.381562Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02674","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:743b1e2ea6861b67f580a147d56d905ef7afb521a1443ff96636a5b11955e882","sha256:fad0f892933b9710790529124d0504c4a78f0795cdf742cd7d04eaa5047ee486","sha256:26cc2b44f3b820dd51a38398d0de42a01f53bc9c7b7bd754778ee787958ae240"],"state_sha256":"dfa178f82b19b4850bbd687084d13964ed4c886dff0303f18d01da077ff7f027"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DpilmGE/wrNI4+1Rjh3ZRT2digtUPzQbtO+24TPKJebFL4oZuAIzNFTO/EOvZWt8DYCAqqjhyvGfwROh4WQcBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:09:00.801987Z","bundle_sha256":"e7315821b99e3e014f69da79fc2aac98851c3476abc1316ff62a14ae658d22d3"}}