{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:GL65DMJHLYBYOJDLY3TB27WLJP","short_pith_number":"pith:GL65DMJH","canonical_record":{"source":{"id":"2602.07875","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-08T09:03:04Z","cross_cats_sorted":[],"title_canon_sha256":"ea2d8dbf8398c7867ae42f139fd6a9c52023665b05141f7b4d1f457babd4db2b","abstract_canon_sha256":"af868de9441e72bac36c4d3ee8680ee9d8f416cf4ca62326ef092df5b3505bb2"},"schema_version":"1.0"},"canonical_sha256":"32fdd1b1275e0387246bc6e61d7ecb4bd8079be5048b00b24aa347ba86897f36","source":{"kind":"arxiv","id":"2602.07875","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.07875","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"arxiv_version","alias_value":"2602.07875v3","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.07875","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"pith_short_12","alias_value":"GL65DMJHLYBY","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"pith_short_16","alias_value":"GL65DMJHLYBYOJDL","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"pith_short_8","alias_value":"GL65DMJH","created_at":"2026-06-05T01:15:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:GL65DMJHLYBYOJDLY3TB27WLJP","target":"record","payload":{"canonical_record":{"source":{"id":"2602.07875","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-08T09:03:04Z","cross_cats_sorted":[],"title_canon_sha256":"ea2d8dbf8398c7867ae42f139fd6a9c52023665b05141f7b4d1f457babd4db2b","abstract_canon_sha256":"af868de9441e72bac36c4d3ee8680ee9d8f416cf4ca62326ef092df5b3505bb2"},"schema_version":"1.0"},"canonical_sha256":"32fdd1b1275e0387246bc6e61d7ecb4bd8079be5048b00b24aa347ba86897f36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:15:19.964063Z","signature_b64":"BaKNZUNjlvJT+LVeVUEUZEIlUAsvrdFcjovZ2NQhWLwC12UgZYiqbMJVL+CVUx8kv3n0X70HdKZPPTsAfRQmAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32fdd1b1275e0387246bc6e61d7ecb4bd8079be5048b00b24aa347ba86897f36","last_reissued_at":"2026-06-05T01:15:19.963623Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:15:19.963623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.07875","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":"2026-06-05T01:15:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GReTJ7S2OvrNVsySGdHcHveopLPwwPLadkaYdjHAY3LV5lryuza/qVAPNw90nElTX6QozCsY8IIRraKa3NcGAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T00:25:49.595665Z"},"content_sha256":"2f6eb2d7db98e3d2f6fe0998098f67dcd643c368859da143b46ccb63daa3b7dd","schema_version":"1.0","event_id":"sha256:2f6eb2d7db98e3d2f6fe0998098f67dcd643c368859da143b46ccb63daa3b7dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:GL65DMJHLYBYOJDLY3TB27WLJP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Aditya Shankar, Lydia Y. Chen, Rihan Hai, Yuandou Wang","submitted_at":"2026-02-08T09:03:04Z","abstract_excerpt":"Generating tabular data under conditions is critical to applications requiring precise control over the generative process. Existing methods rely on training-time strategies that do not generalise to unseen constraints during inference, and struggle to handle conditional tasks beyond tabular imputation. While manifold theory offers a principled way to guide generation, current formulations are tied to specific inference-time objectives and are limited to continuous domains. We extend manifold theory to tabular data and expand its scope to handle diverse inference-time objectives. On this found"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.07875","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/2602.07875/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":"2026-06-05T01:15:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/hsYDWSK1SFd2wjhPJrbyvsbnpohVdewRrW92uO7fRMPWABNbAJ+D4EmMoWoGKddMptUcX8/nPu9l9lXotINAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T00:25:49.596030Z"},"content_sha256":"3b721636261317d4b3af8a84f2de598d66f80ecb420550ed3a7b189c5cd62307","schema_version":"1.0","event_id":"sha256:3b721636261317d4b3af8a84f2de598d66f80ecb420550ed3a7b189c5cd62307"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GL65DMJHLYBYOJDLY3TB27WLJP/bundle.json","state_url":"https://pith.science/pith/GL65DMJHLYBYOJDLY3TB27WLJP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GL65DMJHLYBYOJDLY3TB27WLJP/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":"2026-06-09T00:25:49Z","links":{"resolver":"https://pith.science/pith/GL65DMJHLYBYOJDLY3TB27WLJP","bundle":"https://pith.science/pith/GL65DMJHLYBYOJDLY3TB27WLJP/bundle.json","state":"https://pith.science/pith/GL65DMJHLYBYOJDLY3TB27WLJP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GL65DMJHLYBYOJDLY3TB27WLJP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GL65DMJHLYBYOJDLY3TB27WLJP","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":"af868de9441e72bac36c4d3ee8680ee9d8f416cf4ca62326ef092df5b3505bb2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-08T09:03:04Z","title_canon_sha256":"ea2d8dbf8398c7867ae42f139fd6a9c52023665b05141f7b4d1f457babd4db2b"},"schema_version":"1.0","source":{"id":"2602.07875","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.07875","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"arxiv_version","alias_value":"2602.07875v3","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.07875","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"pith_short_12","alias_value":"GL65DMJHLYBY","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"pith_short_16","alias_value":"GL65DMJHLYBYOJDL","created_at":"2026-06-05T01:15:19Z"},{"alias_kind":"pith_short_8","alias_value":"GL65DMJH","created_at":"2026-06-05T01:15:19Z"}],"graph_snapshots":[{"event_id":"sha256:3b721636261317d4b3af8a84f2de598d66f80ecb420550ed3a7b189c5cd62307","target":"graph","created_at":"2026-06-05T01:15:19Z","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/2602.07875/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating tabular data under conditions is critical to applications requiring precise control over the generative process. Existing methods rely on training-time strategies that do not generalise to unseen constraints during inference, and struggle to handle conditional tasks beyond tabular imputation. While manifold theory offers a principled way to guide generation, current formulations are tied to specific inference-time objectives and are limited to continuous domains. We extend manifold theory to tabular data and expand its scope to handle diverse inference-time objectives. On this found","authors_text":"Aditya Shankar, Lydia Y. Chen, Rihan Hai, Yuandou Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-08T09:03:04Z","title":"Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.07875","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":"sha256:2f6eb2d7db98e3d2f6fe0998098f67dcd643c368859da143b46ccb63daa3b7dd","target":"record","created_at":"2026-06-05T01:15:19Z","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":"af868de9441e72bac36c4d3ee8680ee9d8f416cf4ca62326ef092df5b3505bb2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-08T09:03:04Z","title_canon_sha256":"ea2d8dbf8398c7867ae42f139fd6a9c52023665b05141f7b4d1f457babd4db2b"},"schema_version":"1.0","source":{"id":"2602.07875","kind":"arxiv","version":3}},"canonical_sha256":"32fdd1b1275e0387246bc6e61d7ecb4bd8079be5048b00b24aa347ba86897f36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32fdd1b1275e0387246bc6e61d7ecb4bd8079be5048b00b24aa347ba86897f36","first_computed_at":"2026-06-05T01:15:19.963623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T01:15:19.963623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BaKNZUNjlvJT+LVeVUEUZEIlUAsvrdFcjovZ2NQhWLwC12UgZYiqbMJVL+CVUx8kv3n0X70HdKZPPTsAfRQmAQ==","signature_status":"signed_v1","signed_at":"2026-06-05T01:15:19.964063Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.07875","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f6eb2d7db98e3d2f6fe0998098f67dcd643c368859da143b46ccb63daa3b7dd","sha256:3b721636261317d4b3af8a84f2de598d66f80ecb420550ed3a7b189c5cd62307"],"state_sha256":"c019e2f14a385c22014d4a5140bc67a3acb96f790fc769070857e6441ff8b863"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e0lrjkmMeRGHQ3icHJiPmDirLrLAPsLfQ8BlrTOFQN+fddAXVe4SRcMrafE/8Cruz+GDS49LQcHJARHwQJ3RCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T00:25:49.598113Z","bundle_sha256":"4703dcb9790347bc76a02809bed48c6234285286c3c3d3bb1e824997b36789a2"}}