{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BCEQOAK4Y5NAB3J6SAXZ4G6H6B","short_pith_number":"pith:BCEQOAK4","canonical_record":{"source":{"id":"2605.27102","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T14:41:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5770f9ed42bbe52a4ffb2dbb791fde1afdbbfd5f326c297d86fe62a173258b78","abstract_canon_sha256":"df8619beffde8a1b4181351d3d7dbb0b8dd082c24fc062d9fd9c11c59737b169"},"schema_version":"1.0"},"canonical_sha256":"088907015cc75a00ed3e902f9e1bc7f07a69a9811eb4dfd5148336a6d3e7c5a9","source":{"kind":"arxiv","id":"2605.27102","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27102","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27102v1","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27102","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"pith_short_12","alias_value":"BCEQOAK4Y5NA","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"pith_short_16","alias_value":"BCEQOAK4Y5NAB3J6","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"pith_short_8","alias_value":"BCEQOAK4","created_at":"2026-05-27T02:05:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BCEQOAK4Y5NAB3J6SAXZ4G6H6B","target":"record","payload":{"canonical_record":{"source":{"id":"2605.27102","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T14:41:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"5770f9ed42bbe52a4ffb2dbb791fde1afdbbfd5f326c297d86fe62a173258b78","abstract_canon_sha256":"df8619beffde8a1b4181351d3d7dbb0b8dd082c24fc062d9fd9c11c59737b169"},"schema_version":"1.0"},"canonical_sha256":"088907015cc75a00ed3e902f9e1bc7f07a69a9811eb4dfd5148336a6d3e7c5a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T02:05:41.851669Z","signature_b64":"BAwLMgjxQL9u+fMPgGPvRZrbsrW9nN1bUX5OkKGMSup0vTN+J0weS9hl637n4GagREKPeZfKpwJoQj4WvXaGAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"088907015cc75a00ed3e902f9e1bc7f07a69a9811eb4dfd5148336a6d3e7c5a9","last_reissued_at":"2026-05-27T02:05:41.850713Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T02:05:41.850713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.27102","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":"2026-05-27T02:05:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pJwd6VTmNm59QYnQRnnkof3MI6oP1KHYII4IcndUxIgie0c5PmBQc2CdcWvaze/E5xCpq/NTFE+TT9BM+gwHBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T17:43:42.413841Z"},"content_sha256":"6f68c7edf740f097b122733200d9d0080519fae79e0169bab93a9574704d52fd","schema_version":"1.0","event_id":"sha256:6f68c7edf740f097b122733200d9d0080519fae79e0169bab93a9574704d52fd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BCEQOAK4Y5NAB3J6SAXZ4G6H6B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"JLT: Clean-Latent Prediction in Latent Diffusion Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Funing Fu, Guanyu Zhou, Junyong Cen, Qichao Zhu, Tenghui Wang","submitted_at":"2026-05-26T14:41:58Z","abstract_excerpt":"Flow matching with clean-data prediction has shown that regressing the clean point can exploit low-dimensional structure more effectively than predicting an ambient noised quantity. We ask whether this principle remains useful after images are mapped into a learned latent space, where compression has already removed much of the raw pixel variability. We introduce JLT, a 130M latent diffusion Transformer over frozen FLUX.2 VAE codes, and compare clean-latent prediction with a matched velocity-prediction DiT under the same representation, backbone, and training settings. Although the three varia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27102","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/2605.27102/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":"2026-05-27T02:05:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pKGpDgBOI2jI0ObOj1bReS2csQWq6uXOX9QwcsF6LKP/QGt+dwr7JITHF2gF33PD7GjMGmD0SF/7SXo4PFUGBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T17:43:42.414617Z"},"content_sha256":"e1b21535cdb794b57c535be9d6a6442f9e44acac186d75d01df9d22d2a0a9aef","schema_version":"1.0","event_id":"sha256:e1b21535cdb794b57c535be9d6a6442f9e44acac186d75d01df9d22d2a0a9aef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BCEQOAK4Y5NAB3J6SAXZ4G6H6B/bundle.json","state_url":"https://pith.science/pith/BCEQOAK4Y5NAB3J6SAXZ4G6H6B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BCEQOAK4Y5NAB3J6SAXZ4G6H6B/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":"2026-06-07T17:43:42Z","links":{"resolver":"https://pith.science/pith/BCEQOAK4Y5NAB3J6SAXZ4G6H6B","bundle":"https://pith.science/pith/BCEQOAK4Y5NAB3J6SAXZ4G6H6B/bundle.json","state":"https://pith.science/pith/BCEQOAK4Y5NAB3J6SAXZ4G6H6B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BCEQOAK4Y5NAB3J6SAXZ4G6H6B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BCEQOAK4Y5NAB3J6SAXZ4G6H6B","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":"df8619beffde8a1b4181351d3d7dbb0b8dd082c24fc062d9fd9c11c59737b169","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T14:41:58Z","title_canon_sha256":"5770f9ed42bbe52a4ffb2dbb791fde1afdbbfd5f326c297d86fe62a173258b78"},"schema_version":"1.0","source":{"id":"2605.27102","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27102","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27102v1","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27102","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"pith_short_12","alias_value":"BCEQOAK4Y5NA","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"pith_short_16","alias_value":"BCEQOAK4Y5NAB3J6","created_at":"2026-05-27T02:05:41Z"},{"alias_kind":"pith_short_8","alias_value":"BCEQOAK4","created_at":"2026-05-27T02:05:41Z"}],"graph_snapshots":[{"event_id":"sha256:e1b21535cdb794b57c535be9d6a6442f9e44acac186d75d01df9d22d2a0a9aef","target":"graph","created_at":"2026-05-27T02:05:41Z","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/2605.27102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Flow matching with clean-data prediction has shown that regressing the clean point can exploit low-dimensional structure more effectively than predicting an ambient noised quantity. We ask whether this principle remains useful after images are mapped into a learned latent space, where compression has already removed much of the raw pixel variability. We introduce JLT, a 130M latent diffusion Transformer over frozen FLUX.2 VAE codes, and compare clean-latent prediction with a matched velocity-prediction DiT under the same representation, backbone, and training settings. Although the three varia","authors_text":"Funing Fu, Guanyu Zhou, Junyong Cen, Qichao Zhu, Tenghui Wang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T14:41:58Z","title":"JLT: Clean-Latent Prediction in Latent Diffusion Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27102","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":"sha256:6f68c7edf740f097b122733200d9d0080519fae79e0169bab93a9574704d52fd","target":"record","created_at":"2026-05-27T02:05:41Z","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":"df8619beffde8a1b4181351d3d7dbb0b8dd082c24fc062d9fd9c11c59737b169","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-26T14:41:58Z","title_canon_sha256":"5770f9ed42bbe52a4ffb2dbb791fde1afdbbfd5f326c297d86fe62a173258b78"},"schema_version":"1.0","source":{"id":"2605.27102","kind":"arxiv","version":1}},"canonical_sha256":"088907015cc75a00ed3e902f9e1bc7f07a69a9811eb4dfd5148336a6d3e7c5a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"088907015cc75a00ed3e902f9e1bc7f07a69a9811eb4dfd5148336a6d3e7c5a9","first_computed_at":"2026-05-27T02:05:41.850713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T02:05:41.850713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BAwLMgjxQL9u+fMPgGPvRZrbsrW9nN1bUX5OkKGMSup0vTN+J0weS9hl637n4GagREKPeZfKpwJoQj4WvXaGAQ==","signature_status":"signed_v1","signed_at":"2026-05-27T02:05:41.851669Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27102","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f68c7edf740f097b122733200d9d0080519fae79e0169bab93a9574704d52fd","sha256:e1b21535cdb794b57c535be9d6a6442f9e44acac186d75d01df9d22d2a0a9aef"],"state_sha256":"99bb9e1f19a920a98696e04732c5bf306a4bd8126046e913d9f13da5b933f971"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mLG37/crT8E2kEWEo/OeSoI5M8gUpBp+AYzNc7nJVtVDL3zngFc7WfwXGQQvJJCQRNFRJB5HRe023VkeeKdUCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T17:43:42.418843Z","bundle_sha256":"abbd5faaa51c810e3179c50f7ba4f996413f6c50482c598ab2ce361c350b2aae"}}