{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:CYJHSQ5576E6TSXZ6OVTIAZIC5","short_pith_number":"pith:CYJHSQ55","canonical_record":{"source":{"id":"2605.25648","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T09:53:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"67e94e341392df3ff88e8cace439be25234f4c3a071bb27d6b73d700ba88a81f","abstract_canon_sha256":"9f78995e13830bb53416696bad801ead22c16cad87f8d932ff9a84b7cfb34154"},"schema_version":"1.0"},"canonical_sha256":"16127943bdff89e9caf9f3ab3403281754157a5943e74624696882638bffe5e3","source":{"kind":"arxiv","id":"2605.25648","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25648","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25648v1","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25648","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"CYJHSQ5576E6","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"CYJHSQ5576E6TSXZ","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"CYJHSQ55","created_at":"2026-05-26T02:04:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:CYJHSQ5576E6TSXZ6OVTIAZIC5","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25648","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T09:53:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"67e94e341392df3ff88e8cace439be25234f4c3a071bb27d6b73d700ba88a81f","abstract_canon_sha256":"9f78995e13830bb53416696bad801ead22c16cad87f8d932ff9a84b7cfb34154"},"schema_version":"1.0"},"canonical_sha256":"16127943bdff89e9caf9f3ab3403281754157a5943e74624696882638bffe5e3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:48.130296Z","signature_b64":"n2BWLel0FXO44jlm9tqPhr6mcnDP6ww2jG5uOyRF8CazSkWH5kG23ke6QVTKMq1MCOFQdorTLu84VhfAIwVcAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16127943bdff89e9caf9f3ab3403281754157a5943e74624696882638bffe5e3","last_reissued_at":"2026-05-26T02:04:48.129169Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:48.129169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25648","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":"2026-05-26T02:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dXJqsHNuyRZYqsu3GRgr0EnYlsyAGzEAnnatPUDgZQ3W/Sxc+43mZRmW0AmdGDwkAqpK6Y5HxeavN09prbFPCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T06:49:41.680939Z"},"content_sha256":"0714848a2e152ead181ca8f8ffd67c0952022174ef2cf626467ae2280d732704","schema_version":"1.0","event_id":"sha256:0714848a2e152ead181ca8f8ffd67c0952022174ef2cf626467ae2280d732704"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:CYJHSQ5576E6TSXZ6OVTIAZIC5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Yuan-Hao Wei","submitted_at":"2026-05-25T09:53:24Z","abstract_excerpt":"This paper proposes StrTransformer, a source-wise structured Transformer framework for blind source recovery and branch-wise latent modeling. Instead of using an encoder to infer latent variables, StrTransformer directly optimizes the latent source matrix together with an observation-space mixer and source-wise structural Transformer branches. The mixer enforces reconstruction consistency, while each Transformer branch imposes a differentiable structural constraint on one latent source trajectory. Specifically, each source is converted into multi-scale patch tokens, randomly masked, processed "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25648","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/2605.25648/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":"2026-05-26T02:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C0vQ5Bnib91XGMXriWviqulSHZTHy80C+V5nZ2pmC6SB4boWjEotSQeWzOPejoVH1K2bvBqtPBP8smGdOFH4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T06:49:41.681388Z"},"content_sha256":"e0ae2635c351f31a2cc7caa12182db9323ad23a3cda62a06383f0618f72ebb9c","schema_version":"1.0","event_id":"sha256:e0ae2635c351f31a2cc7caa12182db9323ad23a3cda62a06383f0618f72ebb9c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CYJHSQ5576E6TSXZ6OVTIAZIC5/bundle.json","state_url":"https://pith.science/pith/CYJHSQ5576E6TSXZ6OVTIAZIC5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CYJHSQ5576E6TSXZ6OVTIAZIC5/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":"2026-06-20T06:49:41Z","links":{"resolver":"https://pith.science/pith/CYJHSQ5576E6TSXZ6OVTIAZIC5","bundle":"https://pith.science/pith/CYJHSQ5576E6TSXZ6OVTIAZIC5/bundle.json","state":"https://pith.science/pith/CYJHSQ5576E6TSXZ6OVTIAZIC5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CYJHSQ5576E6TSXZ6OVTIAZIC5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CYJHSQ5576E6TSXZ6OVTIAZIC5","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":"9f78995e13830bb53416696bad801ead22c16cad87f8d932ff9a84b7cfb34154","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T09:53:24Z","title_canon_sha256":"67e94e341392df3ff88e8cace439be25234f4c3a071bb27d6b73d700ba88a81f"},"schema_version":"1.0","source":{"id":"2605.25648","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25648","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25648v1","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25648","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"CYJHSQ5576E6","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"CYJHSQ5576E6TSXZ","created_at":"2026-05-26T02:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"CYJHSQ55","created_at":"2026-05-26T02:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:e0ae2635c351f31a2cc7caa12182db9323ad23a3cda62a06383f0618f72ebb9c","target":"graph","created_at":"2026-05-26T02:04:48Z","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/2605.25648/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes StrTransformer, a source-wise structured Transformer framework for blind source recovery and branch-wise latent modeling. Instead of using an encoder to infer latent variables, StrTransformer directly optimizes the latent source matrix together with an observation-space mixer and source-wise structural Transformer branches. The mixer enforces reconstruction consistency, while each Transformer branch imposes a differentiable structural constraint on one latent source trajectory. Specifically, each source is converted into multi-scale patch tokens, randomly masked, processed ","authors_text":"Yuan-Hao Wei","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T09:53:24Z","title":"StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25648","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":"sha256:0714848a2e152ead181ca8f8ffd67c0952022174ef2cf626467ae2280d732704","target":"record","created_at":"2026-05-26T02:04:48Z","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":"9f78995e13830bb53416696bad801ead22c16cad87f8d932ff9a84b7cfb34154","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-05-25T09:53:24Z","title_canon_sha256":"67e94e341392df3ff88e8cace439be25234f4c3a071bb27d6b73d700ba88a81f"},"schema_version":"1.0","source":{"id":"2605.25648","kind":"arxiv","version":1}},"canonical_sha256":"16127943bdff89e9caf9f3ab3403281754157a5943e74624696882638bffe5e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16127943bdff89e9caf9f3ab3403281754157a5943e74624696882638bffe5e3","first_computed_at":"2026-05-26T02:04:48.129169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:48.129169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n2BWLel0FXO44jlm9tqPhr6mcnDP6ww2jG5uOyRF8CazSkWH5kG23ke6QVTKMq1MCOFQdorTLu84VhfAIwVcAQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:48.130296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25648","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0714848a2e152ead181ca8f8ffd67c0952022174ef2cf626467ae2280d732704","sha256:e0ae2635c351f31a2cc7caa12182db9323ad23a3cda62a06383f0618f72ebb9c"],"state_sha256":"fb976c58bf2b69580a16d1407a0b87ac100d2530aea2ac404f1768d47998a037"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fE/dFF89D6iN9rfUlJPqfbEQ+ihP9XU+URAXO6Q5dwlQXvN5m+tT/1NnFYXRiUmmjVuKD0H7pNXnDYt/Q044BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T06:49:41.683563Z","bundle_sha256":"1c02b4d3e02a73d75508b50ce3a07364d1c9b80bc515cc9bbc88832a70fbe11c"}}