{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RFVIRYHVGX5NJ6BJQ7K5MSHCTA","short_pith_number":"pith:RFVIRYHV","canonical_record":{"source":{"id":"2404.02446","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T04:23:01Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5fd853dd5ed851bab08429d44add2061581d48df319eeac6bcd2f3476912c654","abstract_canon_sha256":"7ac5071ab47032987c51d3ba14ef3d0076f206a58a32a24c8a6949f0d6dbee17"},"schema_version":"1.0"},"canonical_sha256":"896a88e0f535fad4f82987d5d648e29818badfd871b347b713b3c6101aac29c9","source":{"kind":"arxiv","id":"2404.02446","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.02446","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"arxiv_version","alias_value":"2404.02446v1","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02446","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"pith_short_12","alias_value":"RFVIRYHVGX5N","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"pith_short_16","alias_value":"RFVIRYHVGX5NJ6BJ","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"pith_short_8","alias_value":"RFVIRYHV","created_at":"2026-07-05T08:03:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RFVIRYHVGX5NJ6BJQ7K5MSHCTA","target":"record","payload":{"canonical_record":{"source":{"id":"2404.02446","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T04:23:01Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5fd853dd5ed851bab08429d44add2061581d48df319eeac6bcd2f3476912c654","abstract_canon_sha256":"7ac5071ab47032987c51d3ba14ef3d0076f206a58a32a24c8a6949f0d6dbee17"},"schema_version":"1.0"},"canonical_sha256":"896a88e0f535fad4f82987d5d648e29818badfd871b347b713b3c6101aac29c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:03:56.573068Z","signature_b64":"lCS+FZDpOT863PwqvkCkSa28FUSsBZHfT+Uc6Z4kC4j/RY0Nnk1elOWOU7KXMFu06y06uOhlqqguh/uW/NGyBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"896a88e0f535fad4f82987d5d648e29818badfd871b347b713b3c6101aac29c9","last_reissued_at":"2026-07-05T08:03:56.572640Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:03:56.572640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.02446","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":"2026-07-05T08:03:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s0Ba/BBQEGnEqqUwmR1NjWb1qj2zv/XsxaBsJZbiYHgm9B2CtnysaQGQd2FW1QPshS6jH1Kj3ZJqGRzvKdw7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:12:33.507275Z"},"content_sha256":"89f32595a55e5fb1d2981417d262e5a137ee3851c7880194d8e443ddcc214b22","schema_version":"1.0","event_id":"sha256:89f32595a55e5fb1d2981417d262e5a137ee3851c7880194d8e443ddcc214b22"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RFVIRYHVGX5NJ6BJQ7K5MSHCTA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Masked Completion via Structured Diffusion with White-Box Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Druv Pai, Sam Buchanan, Yaodong Yu, Yi Ma, Ziyang Wu","submitted_at":"2024-04-03T04:23:01Z","abstract_excerpt":"Modern learning frameworks often train deep neural networks with massive amounts of unlabeled data to learn representations by solving simple pretext tasks, then use the representations as foundations for downstream tasks. These networks are empirically designed; as such, they are usually not interpretable, their representations are not structured, and their designs are potentially redundant. White-box deep networks, in which each layer explicitly identifies and transforms structures in the data, present a promising alternative. However, existing white-box architectures have only been shown to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02446","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/2404.02446/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":"2026-07-05T08:03:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2cYQcpthY+b3xcYC0chEslrgGvOCZGbv/t2O6SYXWzY+AKpe8L7hC9WXd2lwCVgHyPI3q1bdd+u6rXGQgpiqAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T12:12:33.507794Z"},"content_sha256":"224f29fa2110a961ca185b45a8140bec57ece76d670aa814464391909e52d4df","schema_version":"1.0","event_id":"sha256:224f29fa2110a961ca185b45a8140bec57ece76d670aa814464391909e52d4df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RFVIRYHVGX5NJ6BJQ7K5MSHCTA/bundle.json","state_url":"https://pith.science/pith/RFVIRYHVGX5NJ6BJQ7K5MSHCTA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RFVIRYHVGX5NJ6BJQ7K5MSHCTA/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":"2026-08-05T12:12:33Z","links":{"resolver":"https://pith.science/pith/RFVIRYHVGX5NJ6BJQ7K5MSHCTA","bundle":"https://pith.science/pith/RFVIRYHVGX5NJ6BJQ7K5MSHCTA/bundle.json","state":"https://pith.science/pith/RFVIRYHVGX5NJ6BJQ7K5MSHCTA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RFVIRYHVGX5NJ6BJQ7K5MSHCTA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RFVIRYHVGX5NJ6BJQ7K5MSHCTA","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":"7ac5071ab47032987c51d3ba14ef3d0076f206a58a32a24c8a6949f0d6dbee17","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T04:23:01Z","title_canon_sha256":"5fd853dd5ed851bab08429d44add2061581d48df319eeac6bcd2f3476912c654"},"schema_version":"1.0","source":{"id":"2404.02446","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.02446","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"arxiv_version","alias_value":"2404.02446v1","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02446","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"pith_short_12","alias_value":"RFVIRYHVGX5N","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"pith_short_16","alias_value":"RFVIRYHVGX5NJ6BJ","created_at":"2026-07-05T08:03:56Z"},{"alias_kind":"pith_short_8","alias_value":"RFVIRYHV","created_at":"2026-07-05T08:03:56Z"}],"graph_snapshots":[{"event_id":"sha256:224f29fa2110a961ca185b45a8140bec57ece76d670aa814464391909e52d4df","target":"graph","created_at":"2026-07-05T08:03:56Z","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/2404.02446/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern learning frameworks often train deep neural networks with massive amounts of unlabeled data to learn representations by solving simple pretext tasks, then use the representations as foundations for downstream tasks. These networks are empirically designed; as such, they are usually not interpretable, their representations are not structured, and their designs are potentially redundant. White-box deep networks, in which each layer explicitly identifies and transforms structures in the data, present a promising alternative. However, existing white-box architectures have only been shown to","authors_text":"Druv Pai, Sam Buchanan, Yaodong Yu, Yi Ma, Ziyang Wu","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T04:23:01Z","title":"Masked Completion via Structured Diffusion with White-Box Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02446","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":"sha256:89f32595a55e5fb1d2981417d262e5a137ee3851c7880194d8e443ddcc214b22","target":"record","created_at":"2026-07-05T08:03:56Z","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":"7ac5071ab47032987c51d3ba14ef3d0076f206a58a32a24c8a6949f0d6dbee17","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-03T04:23:01Z","title_canon_sha256":"5fd853dd5ed851bab08429d44add2061581d48df319eeac6bcd2f3476912c654"},"schema_version":"1.0","source":{"id":"2404.02446","kind":"arxiv","version":1}},"canonical_sha256":"896a88e0f535fad4f82987d5d648e29818badfd871b347b713b3c6101aac29c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"896a88e0f535fad4f82987d5d648e29818badfd871b347b713b3c6101aac29c9","first_computed_at":"2026-07-05T08:03:56.572640Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:03:56.572640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lCS+FZDpOT863PwqvkCkSa28FUSsBZHfT+Uc6Z4kC4j/RY0Nnk1elOWOU7KXMFu06y06uOhlqqguh/uW/NGyBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:03:56.573068Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.02446","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89f32595a55e5fb1d2981417d262e5a137ee3851c7880194d8e443ddcc214b22","sha256:224f29fa2110a961ca185b45a8140bec57ece76d670aa814464391909e52d4df"],"state_sha256":"83a85f1e3de818dafa57517894b4844b4742fc76a1330dab2bbc34673762e8e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b/l8rD7xkXWiz4ewoI8yP5133llw77PbyVSPk+bAdki5DW3Ecic1STNDm/o5nLYv6BPKpbYVCd+hzYFnSI8CCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T12:12:33.511628Z","bundle_sha256":"c026a443e6c6849e80f0773f99b8d0c168d362c24352c87515572f42f11ea72d"}}