{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7Q4HKWSKNFSX4D3HIDQSXSJTG2","short_pith_number":"pith:7Q4HKWSK","canonical_record":{"source":{"id":"2606.01013","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-31T05:05:26Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"96245b50e35d1d2b528312610096c8f21691309d3e5ec5260dd6d3bbd072f267","abstract_canon_sha256":"174c9a236ed7d686895b2cfe2af851e368f6307bcb13c20003af6ff2c950c03b"},"schema_version":"1.0"},"canonical_sha256":"fc38755a4a69657e0f6740e12bc9333683b47a740cf28607dfc6119d184a88b3","source":{"kind":"arxiv","id":"2606.01013","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01013","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01013v1","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01013","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"pith_short_12","alias_value":"7Q4HKWSKNFSX","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"pith_short_16","alias_value":"7Q4HKWSKNFSX4D3H","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"pith_short_8","alias_value":"7Q4HKWSK","created_at":"2026-06-02T01:04:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7Q4HKWSKNFSX4D3HIDQSXSJTG2","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01013","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-31T05:05:26Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"96245b50e35d1d2b528312610096c8f21691309d3e5ec5260dd6d3bbd072f267","abstract_canon_sha256":"174c9a236ed7d686895b2cfe2af851e368f6307bcb13c20003af6ff2c950c03b"},"schema_version":"1.0"},"canonical_sha256":"fc38755a4a69657e0f6740e12bc9333683b47a740cf28607dfc6119d184a88b3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:04:18.419455Z","signature_b64":"eSTpYirInwT7aEkmGHlsca3bQN71YIkbsYELG7J5kvIKmZfLQ6XVIfgqkKgR4hOIVms5l86fRX/FK5lq9ERGDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc38755a4a69657e0f6740e12bc9333683b47a740cf28607dfc6119d184a88b3","last_reissued_at":"2026-06-02T01:04:18.419042Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:04:18.419042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01013","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":"2026-06-02T01:04:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xG4sDIk3ikytsjmLeaIjbXDibzua5gRTeiDha9ZcO8j3MCHmZIFJATGRPUNwf0fxij6pblxoLXsFJHA4jD4bAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T07:26:14.487966Z"},"content_sha256":"d6e42b5cd983f44365b479db342f4fc15fe26bb28672e711aed12e9ba107525b","schema_version":"1.0","event_id":"sha256:d6e42b5cd983f44365b479db342f4fc15fe26bb28672e711aed12e9ba107525b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7Q4HKWSKNFSX4D3HIDQSXSJTG2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Can AI Review Improve Paper Drafting? An Empirical Study on 20 Computer Architecture Submissions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.AI","authors_text":"Di Wu","submitted_at":"2026-05-31T05:05:26Z","abstract_excerpt":"Research is advancing faster than ever with artificial intelligence (AI); and so are the corresponding research papers. The exploding volume of AI-generated papers have put a strain to peer review, leading to the usage of AI-generated review, potentially wide yet sneaky. However, relevant ethical concerns about confidentiality, quality, and fairness are raised and no consensus has been reached in the broad research community. We expect the debate to continue for a while, but in the meantime, we ask an alternative, practical question: \\textit{can AI review improve paper drafting?}\n  We study 20"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01013","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/2606.01013/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":"2026-06-02T01:04:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6DamNCtT7PyXsbuBM4PKAJsl+V7li74oFqsnySCHp/b+Vq6Vm/kfKdfc5hhDETBlnRj+fjWh1PILUjUAABHKCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T07:26:14.488639Z"},"content_sha256":"6f2744864b43f0c40a20059ef347329abdccbd42b14359b26547beb9b86b8889","schema_version":"1.0","event_id":"sha256:6f2744864b43f0c40a20059ef347329abdccbd42b14359b26547beb9b86b8889"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7Q4HKWSKNFSX4D3HIDQSXSJTG2/bundle.json","state_url":"https://pith.science/pith/7Q4HKWSKNFSX4D3HIDQSXSJTG2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7Q4HKWSKNFSX4D3HIDQSXSJTG2/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":"2026-07-02T07:26:14Z","links":{"resolver":"https://pith.science/pith/7Q4HKWSKNFSX4D3HIDQSXSJTG2","bundle":"https://pith.science/pith/7Q4HKWSKNFSX4D3HIDQSXSJTG2/bundle.json","state":"https://pith.science/pith/7Q4HKWSKNFSX4D3HIDQSXSJTG2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7Q4HKWSKNFSX4D3HIDQSXSJTG2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7Q4HKWSKNFSX4D3HIDQSXSJTG2","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":"174c9a236ed7d686895b2cfe2af851e368f6307bcb13c20003af6ff2c950c03b","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-31T05:05:26Z","title_canon_sha256":"96245b50e35d1d2b528312610096c8f21691309d3e5ec5260dd6d3bbd072f267"},"schema_version":"1.0","source":{"id":"2606.01013","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01013","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01013v1","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01013","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"pith_short_12","alias_value":"7Q4HKWSKNFSX","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"pith_short_16","alias_value":"7Q4HKWSKNFSX4D3H","created_at":"2026-06-02T01:04:18Z"},{"alias_kind":"pith_short_8","alias_value":"7Q4HKWSK","created_at":"2026-06-02T01:04:18Z"}],"graph_snapshots":[{"event_id":"sha256:6f2744864b43f0c40a20059ef347329abdccbd42b14359b26547beb9b86b8889","target":"graph","created_at":"2026-06-02T01:04:18Z","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/2606.01013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Research is advancing faster than ever with artificial intelligence (AI); and so are the corresponding research papers. The exploding volume of AI-generated papers have put a strain to peer review, leading to the usage of AI-generated review, potentially wide yet sneaky. However, relevant ethical concerns about confidentiality, quality, and fairness are raised and no consensus has been reached in the broad research community. We expect the debate to continue for a while, but in the meantime, we ask an alternative, practical question: \\textit{can AI review improve paper drafting?}\n  We study 20","authors_text":"Di Wu","cross_cats":["cs.AR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-31T05:05:26Z","title":"Can AI Review Improve Paper Drafting? An Empirical Study on 20 Computer Architecture Submissions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01013","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:d6e42b5cd983f44365b479db342f4fc15fe26bb28672e711aed12e9ba107525b","target":"record","created_at":"2026-06-02T01:04:18Z","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":"174c9a236ed7d686895b2cfe2af851e368f6307bcb13c20003af6ff2c950c03b","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-31T05:05:26Z","title_canon_sha256":"96245b50e35d1d2b528312610096c8f21691309d3e5ec5260dd6d3bbd072f267"},"schema_version":"1.0","source":{"id":"2606.01013","kind":"arxiv","version":1}},"canonical_sha256":"fc38755a4a69657e0f6740e12bc9333683b47a740cf28607dfc6119d184a88b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc38755a4a69657e0f6740e12bc9333683b47a740cf28607dfc6119d184a88b3","first_computed_at":"2026-06-02T01:04:18.419042Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:18.419042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eSTpYirInwT7aEkmGHlsca3bQN71YIkbsYELG7J5kvIKmZfLQ6XVIfgqkKgR4hOIVms5l86fRX/FK5lq9ERGDg==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:18.419455Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01013","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6e42b5cd983f44365b479db342f4fc15fe26bb28672e711aed12e9ba107525b","sha256:6f2744864b43f0c40a20059ef347329abdccbd42b14359b26547beb9b86b8889"],"state_sha256":"46ecc96d19809c8031fceb2def65bae5a4db18769d0755d81306f9fb7bd1cf86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zxJD4sDdtIiOkAISSqv1Nw/V2sv55jyMfM+Z03AW00BDC0ohzHOuE2q26RLRnv9DDVUg2FqMze4O1yLaZNK0Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T07:26:14.491773Z","bundle_sha256":"4c0377a428a5102450a1b92d5b4b5d4c2452931c7a2910108580c6cc033993f5"}}