{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4CGFVNQMQHCJ3U5U4447QSJDJN","short_pith_number":"pith:4CGFVNQM","canonical_record":{"source":{"id":"2603.01331","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T00:16:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b399929247d647f05257c2001134362d641d8047622470a23db8eefd515faecc","abstract_canon_sha256":"e85eae429dddd68104ddfbc013d6183bfe8e39707152253f2f176e453824edce"},"schema_version":"1.0"},"canonical_sha256":"e08c5ab60c81c49dd3b4e739f849234b709d5b100b58b71300b37b79b315bfe9","source":{"kind":"arxiv","id":"2603.01331","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.01331","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2603.01331v3","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.01331","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"4CGFVNQMQHCJ","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"4CGFVNQMQHCJ3U5U","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"4CGFVNQM","created_at":"2026-07-14T00:18:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4CGFVNQMQHCJ3U5U4447QSJDJN","target":"record","payload":{"canonical_record":{"source":{"id":"2603.01331","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T00:16:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b399929247d647f05257c2001134362d641d8047622470a23db8eefd515faecc","abstract_canon_sha256":"e85eae429dddd68104ddfbc013d6183bfe8e39707152253f2f176e453824edce"},"schema_version":"1.0"},"canonical_sha256":"e08c5ab60c81c49dd3b4e739f849234b709d5b100b58b71300b37b79b315bfe9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T00:18:24.183720Z","signature_b64":"nApWjiGZw4cuP+zKGxj/tbCuNr50LpnXii4yF+yBToT88dtoDJ6yGkbFM4gl+YbsKhCicDg84iVwaRlyZ0X3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e08c5ab60c81c49dd3b4e739f849234b709d5b100b58b71300b37b79b315bfe9","last_reissued_at":"2026-07-14T00:18:24.182788Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T00:18:24.182788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.01331","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-14T00:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1taTOev5NTR9rqbV3vzvJF58Ye2m8m1qepQ/HF79yuSKkoR38rvB83Cu3/zpwIYvfkgEZDo9Fw/tiG3K+dcODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:42:00.973801Z"},"content_sha256":"3f50f53fdb4f67296ad244982e92deb0e323a2a21774a4d136199979a5eac452","schema_version":"1.0","event_id":"sha256:3f50f53fdb4f67296ad244982e92deb0e323a2a21774a4d136199979a5eac452"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4CGFVNQMQHCJ3U5U4447QSJDJN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Dachuan Shi, Kejing Xia, Lixuan Wei, Mingzhe Li, Qirui Jin, Wenke Lee, Xiangchi Yuan, Zhenbang Du","submitted_at":"2026-03-02T00:16:35Z","abstract_excerpt":"Discrete diffusion language models (dLLMs) generate text by iteratively denoising a masked sequence. However, standard dLLMs condition each denoising step solely on the current hard-masked sequence, while intermediate continuous representations are discarded after sampling and remasking. We term this bottleneck the \\textbf{Information Island} issue: continuous information remains isolated within individual denoising steps and fails to propagate across the trajectory. This bottleneck is especially harmful for reasoning, which requires intermediate reasoning state to be preserved and updated acr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.01331","kind":"arxiv","version":3},"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/2603.01331/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":"2026-07-14T00:18:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fo2rnhTASY+JKNe6YzDbpNIZ1uWiTxXXKM3WZcIojF44gN3J3k+t0kN702vauabwlUvY7j/9YxqeVm+BAGn8AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:42:00.974380Z"},"content_sha256":"c1e55e69b091e6d0cfa7351d44615d2a5ec2a53b58245d00f3925de8076a6987","schema_version":"1.0","event_id":"sha256:c1e55e69b091e6d0cfa7351d44615d2a5ec2a53b58245d00f3925de8076a6987"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4CGFVNQMQHCJ3U5U4447QSJDJN/bundle.json","state_url":"https://pith.science/pith/4CGFVNQMQHCJ3U5U4447QSJDJN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4CGFVNQMQHCJ3U5U4447QSJDJN/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":"2026-08-11T07:42:00Z","links":{"resolver":"https://pith.science/pith/4CGFVNQMQHCJ3U5U4447QSJDJN","bundle":"https://pith.science/pith/4CGFVNQMQHCJ3U5U4447QSJDJN/bundle.json","state":"https://pith.science/pith/4CGFVNQMQHCJ3U5U4447QSJDJN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4CGFVNQMQHCJ3U5U4447QSJDJN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4CGFVNQMQHCJ3U5U4447QSJDJN","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":"e85eae429dddd68104ddfbc013d6183bfe8e39707152253f2f176e453824edce","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T00:16:35Z","title_canon_sha256":"b399929247d647f05257c2001134362d641d8047622470a23db8eefd515faecc"},"schema_version":"1.0","source":{"id":"2603.01331","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.01331","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"arxiv_version","alias_value":"2603.01331v3","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.01331","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"pith_short_12","alias_value":"4CGFVNQMQHCJ","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"pith_short_16","alias_value":"4CGFVNQMQHCJ3U5U","created_at":"2026-07-14T00:18:24Z"},{"alias_kind":"pith_short_8","alias_value":"4CGFVNQM","created_at":"2026-07-14T00:18:24Z"}],"graph_snapshots":[{"event_id":"sha256:c1e55e69b091e6d0cfa7351d44615d2a5ec2a53b58245d00f3925de8076a6987","target":"graph","created_at":"2026-07-14T00:18:24Z","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/2603.01331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Discrete diffusion language models (dLLMs) generate text by iteratively denoising a masked sequence. However, standard dLLMs condition each denoising step solely on the current hard-masked sequence, while intermediate continuous representations are discarded after sampling and remasking. We term this bottleneck the \\textbf{Information Island} issue: continuous information remains isolated within individual denoising steps and fails to propagate across the trajectory. This bottleneck is especially harmful for reasoning, which requires intermediate reasoning state to be preserved and updated acr","authors_text":"Dachuan Shi, Kejing Xia, Lixuan Wei, Mingzhe Li, Qirui Jin, Wenke Lee, Xiangchi Yuan, Zhenbang Du","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T00:16:35Z","title":"MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.01331","kind":"arxiv","version":3},"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":"sha256:3f50f53fdb4f67296ad244982e92deb0e323a2a21774a4d136199979a5eac452","target":"record","created_at":"2026-07-14T00:18:24Z","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":"e85eae429dddd68104ddfbc013d6183bfe8e39707152253f2f176e453824edce","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T00:16:35Z","title_canon_sha256":"b399929247d647f05257c2001134362d641d8047622470a23db8eefd515faecc"},"schema_version":"1.0","source":{"id":"2603.01331","kind":"arxiv","version":3}},"canonical_sha256":"e08c5ab60c81c49dd3b4e739f849234b709d5b100b58b71300b37b79b315bfe9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e08c5ab60c81c49dd3b4e739f849234b709d5b100b58b71300b37b79b315bfe9","first_computed_at":"2026-07-14T00:18:24.182788Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T00:18:24.182788Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nApWjiGZw4cuP+zKGxj/tbCuNr50LpnXii4yF+yBToT88dtoDJ6yGkbFM4gl+YbsKhCicDg84iVwaRlyZ0X3Dg==","signature_status":"signed_v1","signed_at":"2026-07-14T00:18:24.183720Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.01331","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f50f53fdb4f67296ad244982e92deb0e323a2a21774a4d136199979a5eac452","sha256:c1e55e69b091e6d0cfa7351d44615d2a5ec2a53b58245d00f3925de8076a6987"],"state_sha256":"e3e680fbac360bb3790d9ddad33d00f468544298551777954380df62d413da90"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FUYPFsTqAhGzEUqjVL4LjADLT55IRxQecef8nl3/SJS1ZmX0O7gZKWzaqTC+JQafpMKUFz/FvQR1tDHm9MbfAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T07:42:00.977960Z","bundle_sha256":"22109650671dbc6e6e131e34bc3f73efd418e17cbb9f3c4c26c9c1e2a0139d0f"}}