{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2KZB3R3BRVSEAWT46WGPNFPZUI","short_pith_number":"pith:2KZB3R3B","canonical_record":{"source":{"id":"2506.11702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T12:17:38Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3cc9fe1b289c1cc3855a14f9cf0ee5dcd476fd76578ca1a7cdc72bf521aecd05","abstract_canon_sha256":"f298f8b5c524fb990a74271996abd9ae88e8293371bb463bb23faa40cdaf1913"},"schema_version":"1.0"},"canonical_sha256":"d2b21dc7618d64405a7cf58cf695f9a21e2aba2db568538f5453d7e7b3e048fc","source":{"kind":"arxiv","id":"2506.11702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11702","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11702v1","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11702","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"pith_short_12","alias_value":"2KZB3R3BRVSE","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"pith_short_16","alias_value":"2KZB3R3BRVSEAWT4","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"pith_short_8","alias_value":"2KZB3R3B","created_at":"2026-07-05T11:21:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2KZB3R3BRVSEAWT46WGPNFPZUI","target":"record","payload":{"canonical_record":{"source":{"id":"2506.11702","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T12:17:38Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3cc9fe1b289c1cc3855a14f9cf0ee5dcd476fd76578ca1a7cdc72bf521aecd05","abstract_canon_sha256":"f298f8b5c524fb990a74271996abd9ae88e8293371bb463bb23faa40cdaf1913"},"schema_version":"1.0"},"canonical_sha256":"d2b21dc7618d64405a7cf58cf695f9a21e2aba2db568538f5453d7e7b3e048fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:09.421530Z","signature_b64":"gTXCM8JYsODZRGyRVA+RnYGR9ikjwNSl8Y7ZkSuqr1mWD6oxsA+rsW1QTEoWnVyVQIWPzcPVS9vRhgtzsHN3Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2b21dc7618d64405a7cf58cf695f9a21e2aba2db568538f5453d7e7b3e048fc","last_reissued_at":"2026-07-05T11:21:09.421048Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:09.421048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.11702","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":"2026-07-05T11:21:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yRHGOxQf6CsBhsWkAKZGesLVVFgrlmI7Om+OM87pmqMhavTOXHWu+Ef40NrJ8LxbpyUoYegINWfWDjBuucn+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:23:37.321472Z"},"content_sha256":"74c9368e7aa2911fb386c862ae19d878a6c76d803154cb06c093aaf62e2f1126","schema_version":"1.0","event_id":"sha256:74c9368e7aa2911fb386c862ae19d878a6c76d803154cb06c093aaf62e2f1126"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2KZB3R3BRVSEAWT46WGPNFPZUI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Configurable Preference Tuning with Rubric-Guided Synthetic Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"V\\'ictor Gallego","submitted_at":"2025-06-13T12:17:38Z","abstract_excerpt":"Models of human feedback for AI alignment, such as those underpinning Direct Preference Optimization (DPO), often bake in a singular, static set of preferences, limiting adaptability. This paper challenges the assumption of monolithic preferences by introducing Configurable Preference Tuning (CPT), a novel framework for endowing language models with the ability to dynamically adjust their behavior based on explicit, human-interpretable directives. CPT leverages synthetically generated preference data, conditioned on system prompts derived from structured, fine-grained rubrics that define desir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11702","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/2506.11702/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":"2026-07-05T11:21:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yMti20M4udWB9rqA52g6C2H8gNapwMq7d/dN12cNbbq94FyEZmRkfO1hFgz70qHeqtEXecHxm971w3OZryUhCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:23:37.322382Z"},"content_sha256":"513b898755eb11af72f842af37a030061134200e6a1bb65d6b067ab777082d83","schema_version":"1.0","event_id":"sha256:513b898755eb11af72f842af37a030061134200e6a1bb65d6b067ab777082d83"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2KZB3R3BRVSEAWT46WGPNFPZUI/bundle.json","state_url":"https://pith.science/pith/2KZB3R3BRVSEAWT46WGPNFPZUI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2KZB3R3BRVSEAWT46WGPNFPZUI/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":"2026-08-07T18:23:37Z","links":{"resolver":"https://pith.science/pith/2KZB3R3BRVSEAWT46WGPNFPZUI","bundle":"https://pith.science/pith/2KZB3R3BRVSEAWT46WGPNFPZUI/bundle.json","state":"https://pith.science/pith/2KZB3R3BRVSEAWT46WGPNFPZUI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2KZB3R3BRVSEAWT46WGPNFPZUI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2KZB3R3BRVSEAWT46WGPNFPZUI","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":"f298f8b5c524fb990a74271996abd9ae88e8293371bb463bb23faa40cdaf1913","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T12:17:38Z","title_canon_sha256":"3cc9fe1b289c1cc3855a14f9cf0ee5dcd476fd76578ca1a7cdc72bf521aecd05"},"schema_version":"1.0","source":{"id":"2506.11702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11702","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11702v1","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11702","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"pith_short_12","alias_value":"2KZB3R3BRVSE","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"pith_short_16","alias_value":"2KZB3R3BRVSEAWT4","created_at":"2026-07-05T11:21:09Z"},{"alias_kind":"pith_short_8","alias_value":"2KZB3R3B","created_at":"2026-07-05T11:21:09Z"}],"graph_snapshots":[{"event_id":"sha256:513b898755eb11af72f842af37a030061134200e6a1bb65d6b067ab777082d83","target":"graph","created_at":"2026-07-05T11:21:09Z","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/2506.11702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Models of human feedback for AI alignment, such as those underpinning Direct Preference Optimization (DPO), often bake in a singular, static set of preferences, limiting adaptability. This paper challenges the assumption of monolithic preferences by introducing Configurable Preference Tuning (CPT), a novel framework for endowing language models with the ability to dynamically adjust their behavior based on explicit, human-interpretable directives. CPT leverages synthetically generated preference data, conditioned on system prompts derived from structured, fine-grained rubrics that define desir","authors_text":"V\\'ictor Gallego","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T12:17:38Z","title":"Configurable Preference Tuning with Rubric-Guided Synthetic Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11702","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":"sha256:74c9368e7aa2911fb386c862ae19d878a6c76d803154cb06c093aaf62e2f1126","target":"record","created_at":"2026-07-05T11:21:09Z","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":"f298f8b5c524fb990a74271996abd9ae88e8293371bb463bb23faa40cdaf1913","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T12:17:38Z","title_canon_sha256":"3cc9fe1b289c1cc3855a14f9cf0ee5dcd476fd76578ca1a7cdc72bf521aecd05"},"schema_version":"1.0","source":{"id":"2506.11702","kind":"arxiv","version":1}},"canonical_sha256":"d2b21dc7618d64405a7cf58cf695f9a21e2aba2db568538f5453d7e7b3e048fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2b21dc7618d64405a7cf58cf695f9a21e2aba2db568538f5453d7e7b3e048fc","first_computed_at":"2026-07-05T11:21:09.421048Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:21:09.421048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gTXCM8JYsODZRGyRVA+RnYGR9ikjwNSl8Y7ZkSuqr1mWD6oxsA+rsW1QTEoWnVyVQIWPzcPVS9vRhgtzsHN3Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:21:09.421530Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.11702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74c9368e7aa2911fb386c862ae19d878a6c76d803154cb06c093aaf62e2f1126","sha256:513b898755eb11af72f842af37a030061134200e6a1bb65d6b067ab777082d83"],"state_sha256":"e7d0a069b588a35007e3646785c424787ccd466543d3e6e50cb5426f9403e22b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nDaQ7QHzfvXAFKgbdINMA+CLM+TY29W4IJmiWSaJdckmVs68RYN35iD8dj1mVWapQJ1TRlNaJFKzzTnwXrheBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:23:37.328605Z","bundle_sha256":"7b8fc781bec7f83837547de43f8a38964199c342007cc27437176f894cb1be44"}}