{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XOB7L3H5ANLQWER3MN7TNXQ5MT","short_pith_number":"pith:XOB7L3H5","canonical_record":{"source":{"id":"2507.10972","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-15T04:31:52Z","cross_cats_sorted":["cs.CV","cs.MM"],"title_canon_sha256":"0ff86351c04468290ad02630b24e3cc6dfe74a2aa42f08cb1ed0b577448bcd46","abstract_canon_sha256":"7cc9546c06910eab8ba9e7dfdd4a0bf02d95e0beaf07fdabc1b94b948dd29c30"},"schema_version":"1.0"},"canonical_sha256":"bb83f5ecfd03570b123b637f36de1d64d0b6efe06658e8422accf0803c052eab","source":{"kind":"arxiv","id":"2507.10972","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10972","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10972v1","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10972","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_12","alias_value":"XOB7L3H5ANLQ","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_16","alias_value":"XOB7L3H5ANLQWER3","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_8","alias_value":"XOB7L3H5","created_at":"2026-07-05T11:37:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XOB7L3H5ANLQWER3MN7TNXQ5MT","target":"record","payload":{"canonical_record":{"source":{"id":"2507.10972","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-15T04:31:52Z","cross_cats_sorted":["cs.CV","cs.MM"],"title_canon_sha256":"0ff86351c04468290ad02630b24e3cc6dfe74a2aa42f08cb1ed0b577448bcd46","abstract_canon_sha256":"7cc9546c06910eab8ba9e7dfdd4a0bf02d95e0beaf07fdabc1b94b948dd29c30"},"schema_version":"1.0"},"canonical_sha256":"bb83f5ecfd03570b123b637f36de1d64d0b6efe06658e8422accf0803c052eab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:37:29.581997Z","signature_b64":"VSx+srpKvKzpYrCBpio0+APykU6Af52PPfHOgpY+DYNAquk4fLNLle0CpglDdCKDc2JQ14lXnXur6s9q1WDHCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb83f5ecfd03570b123b637f36de1d64d0b6efe06658e8422accf0803c052eab","last_reissued_at":"2026-07-05T11:37:29.581547Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:37:29.581547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.10972","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":"2026-07-05T11:37:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FxV4PgLcnNBpjketYzhwnBulPIxLZO6vQ6u7mkAZBIhdQ72Qbogr42V4sfZXLlF24DbhfKAHJWyCvYp6yccNCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:56:03.980525Z"},"content_sha256":"70f6644217461562c1528f9117596375b64da8091ed3d5edcd7fff0644e754a4","schema_version":"1.0","event_id":"sha256:70f6644217461562c1528f9117596375b64da8091ed3d5edcd7fff0644e754a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XOB7L3H5ANLQWER3MN7TNXQ5MT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Teach Me Sign: Stepwise Prompting LLM for Sign Language Production","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.MM"],"primary_cat":"cs.CL","authors_text":"Rei Kawakami, Zhaoyi An","submitted_at":"2025-07-15T04:31:52Z","abstract_excerpt":"Large language models, with their strong reasoning ability and rich knowledge, have brought revolution to many tasks of AI, but their impact on sign language generation remains limited due to its complexity and unique rules. In this paper, we propose TEAch Me Sign (TEAM-Sign), treating sign language as another natural language. By fine-tuning an LLM, we enable it to learn the correspondence between text and sign language, and facilitate generation. Considering the differences between sign and spoken language, we employ a stepwise prompting strategy to extract the inherent sign language knowled"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10972","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/2507.10972/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":"2026-07-05T11:37:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mUuxoEVP/hRhsgppxc8rFZQztdEYraiG0T2pssYoDbq2oXIuPmh+JXRRZjaJpeDNDI5EVEzoGvDsdI91NTUJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:56:03.981049Z"},"content_sha256":"9cb9c3e7319faa5e807aef018a46e753309179d12783c91fc7ea588938c70636","schema_version":"1.0","event_id":"sha256:9cb9c3e7319faa5e807aef018a46e753309179d12783c91fc7ea588938c70636"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XOB7L3H5ANLQWER3MN7TNXQ5MT/bundle.json","state_url":"https://pith.science/pith/XOB7L3H5ANLQWER3MN7TNXQ5MT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XOB7L3H5ANLQWER3MN7TNXQ5MT/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":"2026-08-09T05:56:03Z","links":{"resolver":"https://pith.science/pith/XOB7L3H5ANLQWER3MN7TNXQ5MT","bundle":"https://pith.science/pith/XOB7L3H5ANLQWER3MN7TNXQ5MT/bundle.json","state":"https://pith.science/pith/XOB7L3H5ANLQWER3MN7TNXQ5MT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XOB7L3H5ANLQWER3MN7TNXQ5MT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XOB7L3H5ANLQWER3MN7TNXQ5MT","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":"7cc9546c06910eab8ba9e7dfdd4a0bf02d95e0beaf07fdabc1b94b948dd29c30","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-15T04:31:52Z","title_canon_sha256":"0ff86351c04468290ad02630b24e3cc6dfe74a2aa42f08cb1ed0b577448bcd46"},"schema_version":"1.0","source":{"id":"2507.10972","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10972","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10972v1","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10972","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_12","alias_value":"XOB7L3H5ANLQ","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_16","alias_value":"XOB7L3H5ANLQWER3","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_8","alias_value":"XOB7L3H5","created_at":"2026-07-05T11:37:29Z"}],"graph_snapshots":[{"event_id":"sha256:9cb9c3e7319faa5e807aef018a46e753309179d12783c91fc7ea588938c70636","target":"graph","created_at":"2026-07-05T11:37:29Z","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/2507.10972/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models, with their strong reasoning ability and rich knowledge, have brought revolution to many tasks of AI, but their impact on sign language generation remains limited due to its complexity and unique rules. In this paper, we propose TEAch Me Sign (TEAM-Sign), treating sign language as another natural language. By fine-tuning an LLM, we enable it to learn the correspondence between text and sign language, and facilitate generation. Considering the differences between sign and spoken language, we employ a stepwise prompting strategy to extract the inherent sign language knowled","authors_text":"Rei Kawakami, Zhaoyi An","cross_cats":["cs.CV","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-15T04:31:52Z","title":"Teach Me Sign: Stepwise Prompting LLM for Sign Language Production"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10972","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":"sha256:70f6644217461562c1528f9117596375b64da8091ed3d5edcd7fff0644e754a4","target":"record","created_at":"2026-07-05T11:37:29Z","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":"7cc9546c06910eab8ba9e7dfdd4a0bf02d95e0beaf07fdabc1b94b948dd29c30","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-15T04:31:52Z","title_canon_sha256":"0ff86351c04468290ad02630b24e3cc6dfe74a2aa42f08cb1ed0b577448bcd46"},"schema_version":"1.0","source":{"id":"2507.10972","kind":"arxiv","version":1}},"canonical_sha256":"bb83f5ecfd03570b123b637f36de1d64d0b6efe06658e8422accf0803c052eab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb83f5ecfd03570b123b637f36de1d64d0b6efe06658e8422accf0803c052eab","first_computed_at":"2026-07-05T11:37:29.581547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:29.581547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VSx+srpKvKzpYrCBpio0+APykU6Af52PPfHOgpY+DYNAquk4fLNLle0CpglDdCKDc2JQ14lXnXur6s9q1WDHCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:29.581997Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.10972","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70f6644217461562c1528f9117596375b64da8091ed3d5edcd7fff0644e754a4","sha256:9cb9c3e7319faa5e807aef018a46e753309179d12783c91fc7ea588938c70636"],"state_sha256":"0a95ce6ef6e9695a1292e98fc8bbd43ee73ad8625a9269fb8ea6c12e7eb72daf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oe/fy7BUycWymezvoNnKgkysy6ZJ6y5QE6RrITRuBYUZ2EIGZ4C0sCIwetCvluEM0zvRBQ0v1o9HD/KgMwH4CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:56:03.985439Z","bundle_sha256":"e1d2b01385396b05664009708eb201af55d420c8a9b6e0833de0e22452f68662"}}