{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2CVCORRLN725O2OBIJMA7BPSCZ","short_pith_number":"pith:2CVCORRL","canonical_record":{"source":{"id":"2606.19257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-17T16:34:02Z","cross_cats_sorted":[],"title_canon_sha256":"6a85116ea55ff465ca68a5d6fefc520113d891548dee5c781027692e12a7ef63","abstract_canon_sha256":"e293c3508c79a69ed6bb90b8861bd12b8a12c907adc7b356e1f955b45f02cc19"},"schema_version":"1.0"},"canonical_sha256":"d0aa27462b6ff5d769c142580f85f21649cb6c0a446c4f0147aad1ad1e814872","source":{"kind":"arxiv","id":"2606.19257","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19257","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19257v1","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19257","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"pith_short_12","alias_value":"2CVCORRLN725","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"pith_short_16","alias_value":"2CVCORRLN725O2OB","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"pith_short_8","alias_value":"2CVCORRL","created_at":"2026-06-19T16:12:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2CVCORRLN725O2OBIJMA7BPSCZ","target":"record","payload":{"canonical_record":{"source":{"id":"2606.19257","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-17T16:34:02Z","cross_cats_sorted":[],"title_canon_sha256":"6a85116ea55ff465ca68a5d6fefc520113d891548dee5c781027692e12a7ef63","abstract_canon_sha256":"e293c3508c79a69ed6bb90b8861bd12b8a12c907adc7b356e1f955b45f02cc19"},"schema_version":"1.0"},"canonical_sha256":"d0aa27462b6ff5d769c142580f85f21649cb6c0a446c4f0147aad1ad1e814872","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:09.026030Z","signature_b64":"uZOfhy1XJn4tCgulXG/FGXtWdX0nY1kAcPXDgXLoMDUEhN8l8/ahRnNARsZtgBhbuZSB60/3UQVgpl5Fm2sODA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0aa27462b6ff5d769c142580f85f21649cb6c0a446c4f0147aad1ad1e814872","last_reissued_at":"2026-06-19T16:12:09.025489Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:09.025489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.19257","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":"2026-06-19T16:12:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kT1c9IOOe2YekLRgrzLE1P5HlyYwdIlQzSSv1vQFzdi2mmHfQcUuySJ5MSeTq7/3i7o8E/0Wickb7L7JxToYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T16:41:04.001683Z"},"content_sha256":"324c2d0da143a03a8c386f85235e609b7ce2dc94509757074b1bdadd6e8bcfad","schema_version":"1.0","event_id":"sha256:324c2d0da143a03a8c386f85235e609b7ce2dc94509757074b1bdadd6e8bcfad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2CVCORRLN725O2OBIJMA7BPSCZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiacheng Ye, Lingpeng Kong, Lin Zheng, Shansan Gong, Wei Bi, Xueliang Zhao, Yansong Feng, Zirui Wu","submitted_at":"2026-06-17T16:34:02Z","abstract_excerpt":"Block diffusion language models accelerate decoding through parallel block-wise denoising, yet whether they can be reliably scaled for long chain-of-thought (CoT) reasoning remains unresolved. To this end, we develop DreamReasoner-8B, an open-source block diffusion reasoning model, and conduct a systematic study of how training and inference block sizes affect long-CoT reasoning. Our analysis reveals a stark performance disparity: training with large block sizes yields remarkably poor reasoning, whereas small block sizes preserve effective reasoning. To bridge this granularity gap, we propose "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19257","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/2606.19257/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":"2026-06-19T16:12:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R855ixI/ynYaYAdx1O/2t+Mgjeygln/8BnTY/+Nq7NgT5PdSsRDBeqBOdDWy2hLbGtUR/ioxxoTj+g+c4jh3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T16:41:04.002073Z"},"content_sha256":"894e3073535967c0417d5f7fa999b483b7bdf67e522aa9c0f8bd8f91b9577c7c","schema_version":"1.0","event_id":"sha256:894e3073535967c0417d5f7fa999b483b7bdf67e522aa9c0f8bd8f91b9577c7c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2CVCORRLN725O2OBIJMA7BPSCZ/bundle.json","state_url":"https://pith.science/pith/2CVCORRLN725O2OBIJMA7BPSCZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2CVCORRLN725O2OBIJMA7BPSCZ/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":"2026-07-02T16:41:04Z","links":{"resolver":"https://pith.science/pith/2CVCORRLN725O2OBIJMA7BPSCZ","bundle":"https://pith.science/pith/2CVCORRLN725O2OBIJMA7BPSCZ/bundle.json","state":"https://pith.science/pith/2CVCORRLN725O2OBIJMA7BPSCZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2CVCORRLN725O2OBIJMA7BPSCZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2CVCORRLN725O2OBIJMA7BPSCZ","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":"e293c3508c79a69ed6bb90b8861bd12b8a12c907adc7b356e1f955b45f02cc19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-17T16:34:02Z","title_canon_sha256":"6a85116ea55ff465ca68a5d6fefc520113d891548dee5c781027692e12a7ef63"},"schema_version":"1.0","source":{"id":"2606.19257","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19257","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19257v1","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19257","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"pith_short_12","alias_value":"2CVCORRLN725","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"pith_short_16","alias_value":"2CVCORRLN725O2OB","created_at":"2026-06-19T16:12:09Z"},{"alias_kind":"pith_short_8","alias_value":"2CVCORRL","created_at":"2026-06-19T16:12:09Z"}],"graph_snapshots":[{"event_id":"sha256:894e3073535967c0417d5f7fa999b483b7bdf67e522aa9c0f8bd8f91b9577c7c","target":"graph","created_at":"2026-06-19T16:12:09Z","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/2606.19257/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Block diffusion language models accelerate decoding through parallel block-wise denoising, yet whether they can be reliably scaled for long chain-of-thought (CoT) reasoning remains unresolved. To this end, we develop DreamReasoner-8B, an open-source block diffusion reasoning model, and conduct a systematic study of how training and inference block sizes affect long-CoT reasoning. Our analysis reveals a stark performance disparity: training with large block sizes yields remarkably poor reasoning, whereas small block sizes preserve effective reasoning. To bridge this granularity gap, we propose ","authors_text":"Jiacheng Ye, Lingpeng Kong, Lin Zheng, Shansan Gong, Wei Bi, Xueliang Zhao, Yansong Feng, Zirui Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-17T16:34:02Z","title":"DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19257","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":"sha256:324c2d0da143a03a8c386f85235e609b7ce2dc94509757074b1bdadd6e8bcfad","target":"record","created_at":"2026-06-19T16:12:09Z","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":"e293c3508c79a69ed6bb90b8861bd12b8a12c907adc7b356e1f955b45f02cc19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-17T16:34:02Z","title_canon_sha256":"6a85116ea55ff465ca68a5d6fefc520113d891548dee5c781027692e12a7ef63"},"schema_version":"1.0","source":{"id":"2606.19257","kind":"arxiv","version":1}},"canonical_sha256":"d0aa27462b6ff5d769c142580f85f21649cb6c0a446c4f0147aad1ad1e814872","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0aa27462b6ff5d769c142580f85f21649cb6c0a446c4f0147aad1ad1e814872","first_computed_at":"2026-06-19T16:12:09.025489Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:12:09.025489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uZOfhy1XJn4tCgulXG/FGXtWdX0nY1kAcPXDgXLoMDUEhN8l8/ahRnNARsZtgBhbuZSB60/3UQVgpl5Fm2sODA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:12:09.026030Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19257","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:324c2d0da143a03a8c386f85235e609b7ce2dc94509757074b1bdadd6e8bcfad","sha256:894e3073535967c0417d5f7fa999b483b7bdf67e522aa9c0f8bd8f91b9577c7c"],"state_sha256":"38a3a659f8ad0b674c6b0b0c00a5b74c408d64602a4652b89a74b808142e5c62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tSl3F1S8W+UdjfBUZ5frZxCodA9q2L1nDWuYDf2titsNFwWsCHafHWYYpaMRyj0Zhqugl/pWBbz/3ZsFrvy+Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T16:41:04.004150Z","bundle_sha256":"167894ed70bb3160115385076a26fb1221ae8832709d97c4c7c67c17a9712aeb"}}