{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:77APX4U6SRFBHV2Z3EZIDOCSFQ","short_pith_number":"pith:77APX4U6","canonical_record":{"source":{"id":"2103.06982","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-11T22:11:17Z","cross_cats_sorted":[],"title_canon_sha256":"f21776cd4ae59ea985eb6e3d05623cef7da8603f4f7c8dc7f21ddfd9496d233f","abstract_canon_sha256":"06c41a57a82c9d6ddf42a7f653f004a1d7b58c649686ef22ba560e946c7ebb6b"},"schema_version":"1.0"},"canonical_sha256":"ffc0fbf29e944a13d759d93281b8522c2559300426eb7ac3b6fe1627c4a9bcc5","source":{"kind":"arxiv","id":"2103.06982","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06982","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06982v1","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06982","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_12","alias_value":"77APX4U6SRFB","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_16","alias_value":"77APX4U6SRFBHV2Z","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_8","alias_value":"77APX4U6","created_at":"2026-07-05T02:22:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:77APX4U6SRFBHV2Z3EZIDOCSFQ","target":"record","payload":{"canonical_record":{"source":{"id":"2103.06982","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-11T22:11:17Z","cross_cats_sorted":[],"title_canon_sha256":"f21776cd4ae59ea985eb6e3d05623cef7da8603f4f7c8dc7f21ddfd9496d233f","abstract_canon_sha256":"06c41a57a82c9d6ddf42a7f653f004a1d7b58c649686ef22ba560e946c7ebb6b"},"schema_version":"1.0"},"canonical_sha256":"ffc0fbf29e944a13d759d93281b8522c2559300426eb7ac3b6fe1627c4a9bcc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:22:27.265229Z","signature_b64":"ZROR74Ng0rvmKIDJ76c9TSwbfVTHOjL8/J6W/GRKQbBK+yeuANy2TlxaobNO4VvU/hIyR23nQwXGp55G7gv1Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffc0fbf29e944a13d759d93281b8522c2559300426eb7ac3b6fe1627c4a9bcc5","last_reissued_at":"2026-07-05T02:22:27.264840Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:22:27.264840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.06982","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":"2026-07-05T02:22:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MLw/9OtiIJcraYq5Jndc9JCVRRS4Vw74E8nzWyncKVegUjVnqHBMjw/IedLlHrwxirPscGL8A4N+kRQcdplHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T08:12:48.710630Z"},"content_sha256":"5fae519f6f0051098e2b527d6100d03b1715b91285e6065031dc24db742aff72","schema_version":"1.0","event_id":"sha256:5fae519f6f0051098e2b527d6100d03b1715b91285e6065031dc24db742aff72"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:77APX4U6SRFBHV2Z3EZIDOCSFQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ben Saunders, Necati Cihan Camgoz, Richard Bowden","submitted_at":"2021-03-11T22:11:17Z","abstract_excerpt":"Sign languages are multi-channel visual languages, where signers use a continuous 3D space to communicate.Sign Language Production (SLP), the automatic translation from spoken to sign languages, must embody both the continuous articulation and full morphology of sign to be truly understandable by the Deaf community. Previous deep learning-based SLP works have produced only a concatenation of isolated signs focusing primarily on the manual features, leading to a robotic and non-expressive production.\n  In this work, we propose a novel Progressive Transformer architecture, the first SLP model to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06982","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/2103.06982/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":"2026-07-05T02:22:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xDGH5888XjzG3LY4X6rblMhMhqt0GThUF7PUkBZS/wEZ+SinS2N1nUrCUa+wIdO2TZoZIBsj3zX2sw6jKI7DCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T08:12:48.711281Z"},"content_sha256":"805a9ad5b7ae264c07dbb8f77f60aac03de58a63b042116b38ab0a207921e531","schema_version":"1.0","event_id":"sha256:805a9ad5b7ae264c07dbb8f77f60aac03de58a63b042116b38ab0a207921e531"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/77APX4U6SRFBHV2Z3EZIDOCSFQ/bundle.json","state_url":"https://pith.science/pith/77APX4U6SRFBHV2Z3EZIDOCSFQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/77APX4U6SRFBHV2Z3EZIDOCSFQ/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":"2026-07-09T08:12:48Z","links":{"resolver":"https://pith.science/pith/77APX4U6SRFBHV2Z3EZIDOCSFQ","bundle":"https://pith.science/pith/77APX4U6SRFBHV2Z3EZIDOCSFQ/bundle.json","state":"https://pith.science/pith/77APX4U6SRFBHV2Z3EZIDOCSFQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/77APX4U6SRFBHV2Z3EZIDOCSFQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:77APX4U6SRFBHV2Z3EZIDOCSFQ","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":"06c41a57a82c9d6ddf42a7f653f004a1d7b58c649686ef22ba560e946c7ebb6b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-11T22:11:17Z","title_canon_sha256":"f21776cd4ae59ea985eb6e3d05623cef7da8603f4f7c8dc7f21ddfd9496d233f"},"schema_version":"1.0","source":{"id":"2103.06982","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06982","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06982v1","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06982","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_12","alias_value":"77APX4U6SRFB","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_16","alias_value":"77APX4U6SRFBHV2Z","created_at":"2026-07-05T02:22:27Z"},{"alias_kind":"pith_short_8","alias_value":"77APX4U6","created_at":"2026-07-05T02:22:27Z"}],"graph_snapshots":[{"event_id":"sha256:805a9ad5b7ae264c07dbb8f77f60aac03de58a63b042116b38ab0a207921e531","target":"graph","created_at":"2026-07-05T02:22:27Z","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/2103.06982/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sign languages are multi-channel visual languages, where signers use a continuous 3D space to communicate.Sign Language Production (SLP), the automatic translation from spoken to sign languages, must embody both the continuous articulation and full morphology of sign to be truly understandable by the Deaf community. Previous deep learning-based SLP works have produced only a concatenation of isolated signs focusing primarily on the manual features, leading to a robotic and non-expressive production.\n  In this work, we propose a novel Progressive Transformer architecture, the first SLP model to","authors_text":"Ben Saunders, Necati Cihan Camgoz, Richard Bowden","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-11T22:11:17Z","title":"Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06982","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":"sha256:5fae519f6f0051098e2b527d6100d03b1715b91285e6065031dc24db742aff72","target":"record","created_at":"2026-07-05T02:22:27Z","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":"06c41a57a82c9d6ddf42a7f653f004a1d7b58c649686ef22ba560e946c7ebb6b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-11T22:11:17Z","title_canon_sha256":"f21776cd4ae59ea985eb6e3d05623cef7da8603f4f7c8dc7f21ddfd9496d233f"},"schema_version":"1.0","source":{"id":"2103.06982","kind":"arxiv","version":1}},"canonical_sha256":"ffc0fbf29e944a13d759d93281b8522c2559300426eb7ac3b6fe1627c4a9bcc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffc0fbf29e944a13d759d93281b8522c2559300426eb7ac3b6fe1627c4a9bcc5","first_computed_at":"2026-07-05T02:22:27.264840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:22:27.264840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZROR74Ng0rvmKIDJ76c9TSwbfVTHOjL8/J6W/GRKQbBK+yeuANy2TlxaobNO4VvU/hIyR23nQwXGp55G7gv1Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:22:27.265229Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.06982","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5fae519f6f0051098e2b527d6100d03b1715b91285e6065031dc24db742aff72","sha256:805a9ad5b7ae264c07dbb8f77f60aac03de58a63b042116b38ab0a207921e531"],"state_sha256":"c0b29cdbe320b398a2ea486c15bf0836675172ad55c1b7a8554ded034388ebad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sDPvbJMBsXmNpfXas/n+ruQhF2qijObN76hyW7zLgBqxTN6NZT6KVsXiLvB5g1VRCZbUfN0OOCAppPqEUowmDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T08:12:48.715112Z","bundle_sha256":"3cc0323b73726956101ef85db215060d48f3fe9d524805aa7df95b30d54e1d38"}}