{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4BA4HKT4LEJ4DILC2BZCKRVYAZ","short_pith_number":"pith:4BA4HKT4","canonical_record":{"source":{"id":"2307.16139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T06:06:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3b7d7ac72c7a2d9b1061312f696e194f00b5e4de8fadc15eebe0ca0ff1058572","abstract_canon_sha256":"63d9ce2a982dfebeb663c93705d54ba765cadf04cddf2f62f76b2b8a296d283e"},"schema_version":"1.0"},"canonical_sha256":"e041c3aa7c5913c1a162d0722546b80666380133e20117ae27eaf1ca62079375","source":{"kind":"arxiv","id":"2307.16139","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.16139","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"arxiv_version","alias_value":"2307.16139v1","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.16139","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"pith_short_12","alias_value":"4BA4HKT4LEJ4","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"pith_short_16","alias_value":"4BA4HKT4LEJ4DILC","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"pith_short_8","alias_value":"4BA4HKT4","created_at":"2026-07-05T06:35:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4BA4HKT4LEJ4DILC2BZCKRVYAZ","target":"record","payload":{"canonical_record":{"source":{"id":"2307.16139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T06:06:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3b7d7ac72c7a2d9b1061312f696e194f00b5e4de8fadc15eebe0ca0ff1058572","abstract_canon_sha256":"63d9ce2a982dfebeb663c93705d54ba765cadf04cddf2f62f76b2b8a296d283e"},"schema_version":"1.0"},"canonical_sha256":"e041c3aa7c5913c1a162d0722546b80666380133e20117ae27eaf1ca62079375","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:35:59.308666Z","signature_b64":"aJr6qWB2wl13XhUBAw/vSHTrS1yTB9hg1F9DX/QeRdzxLrT2XKjDcGnzT6iqNtvFKbx9P6/0HMB4Ug8/JwC6AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e041c3aa7c5913c1a162d0722546b80666380133e20117ae27eaf1ca62079375","last_reissued_at":"2026-07-05T06:35:59.308237Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:35:59.308237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.16139","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":"2026-07-05T06:35:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B7coyJIVMEnNkWFC0HR4MNUlybGayN4uQQc+nK/H9EMJ+NatYLnVXzDTumRTEIf7IgRvtzyYiG/2dXkOdTc5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:06:27.176885Z"},"content_sha256":"dfe0534c27d09f73f2811fe749b2632f8ebcbbb6eb3fde45087973aedd0a7979","schema_version":"1.0","event_id":"sha256:dfe0534c27d09f73f2811fe749b2632f8ebcbbb6eb3fde45087973aedd0a7979"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4BA4HKT4LEJ4DILC2BZCKRVYAZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Chen Zhang","submitted_at":"2023-07-30T06:06:35Z","abstract_excerpt":"In modern dialogue systems, the use of Large Language Models (LLMs) has grown exponentially due to their capacity to generate diverse, relevant, and creative responses. Despite their strengths, striking a balance between the LLMs' creativity and their faithfulness to external knowledge remains a key challenge. This paper presents an innovative user-controllable mechanism that modulates the balance between an LLM's imaginative capabilities and its adherence to factual information. Our approach incorporates a numerical tag during the fine-tuning phase of the LLM's training, representing the degr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.16139","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/2307.16139/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":"2026-07-05T06:35:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WVJ/yA+WYRnAVUvOgT7z+reD7uOlFsxxRxXj1H5RLOr5c5p0oTJaeb23HB4fqS87ae1S9uI+bRAFxewU7FNoDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:06:27.177399Z"},"content_sha256":"ea6b770507fd36a304b772b438e17e16288dd1bedfc6fae52dc9c1a48f81829f","schema_version":"1.0","event_id":"sha256:ea6b770507fd36a304b772b438e17e16288dd1bedfc6fae52dc9c1a48f81829f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BA4HKT4LEJ4DILC2BZCKRVYAZ/bundle.json","state_url":"https://pith.science/pith/4BA4HKT4LEJ4DILC2BZCKRVYAZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BA4HKT4LEJ4DILC2BZCKRVYAZ/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":"2026-08-09T19:06:27Z","links":{"resolver":"https://pith.science/pith/4BA4HKT4LEJ4DILC2BZCKRVYAZ","bundle":"https://pith.science/pith/4BA4HKT4LEJ4DILC2BZCKRVYAZ/bundle.json","state":"https://pith.science/pith/4BA4HKT4LEJ4DILC2BZCKRVYAZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BA4HKT4LEJ4DILC2BZCKRVYAZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4BA4HKT4LEJ4DILC2BZCKRVYAZ","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":"63d9ce2a982dfebeb663c93705d54ba765cadf04cddf2f62f76b2b8a296d283e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T06:06:35Z","title_canon_sha256":"3b7d7ac72c7a2d9b1061312f696e194f00b5e4de8fadc15eebe0ca0ff1058572"},"schema_version":"1.0","source":{"id":"2307.16139","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.16139","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"arxiv_version","alias_value":"2307.16139v1","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.16139","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"pith_short_12","alias_value":"4BA4HKT4LEJ4","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"pith_short_16","alias_value":"4BA4HKT4LEJ4DILC","created_at":"2026-07-05T06:35:59Z"},{"alias_kind":"pith_short_8","alias_value":"4BA4HKT4","created_at":"2026-07-05T06:35:59Z"}],"graph_snapshots":[{"event_id":"sha256:ea6b770507fd36a304b772b438e17e16288dd1bedfc6fae52dc9c1a48f81829f","target":"graph","created_at":"2026-07-05T06:35:59Z","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/2307.16139/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In modern dialogue systems, the use of Large Language Models (LLMs) has grown exponentially due to their capacity to generate diverse, relevant, and creative responses. Despite their strengths, striking a balance between the LLMs' creativity and their faithfulness to external knowledge remains a key challenge. This paper presents an innovative user-controllable mechanism that modulates the balance between an LLM's imaginative capabilities and its adherence to factual information. Our approach incorporates a numerical tag during the fine-tuning phase of the LLM's training, representing the degr","authors_text":"Chen Zhang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T06:06:35Z","title":"User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.16139","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:dfe0534c27d09f73f2811fe749b2632f8ebcbbb6eb3fde45087973aedd0a7979","target":"record","created_at":"2026-07-05T06:35:59Z","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":"63d9ce2a982dfebeb663c93705d54ba765cadf04cddf2f62f76b2b8a296d283e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T06:06:35Z","title_canon_sha256":"3b7d7ac72c7a2d9b1061312f696e194f00b5e4de8fadc15eebe0ca0ff1058572"},"schema_version":"1.0","source":{"id":"2307.16139","kind":"arxiv","version":1}},"canonical_sha256":"e041c3aa7c5913c1a162d0722546b80666380133e20117ae27eaf1ca62079375","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e041c3aa7c5913c1a162d0722546b80666380133e20117ae27eaf1ca62079375","first_computed_at":"2026-07-05T06:35:59.308237Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:35:59.308237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aJr6qWB2wl13XhUBAw/vSHTrS1yTB9hg1F9DX/QeRdzxLrT2XKjDcGnzT6iqNtvFKbx9P6/0HMB4Ug8/JwC6AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:35:59.308666Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.16139","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfe0534c27d09f73f2811fe749b2632f8ebcbbb6eb3fde45087973aedd0a7979","sha256:ea6b770507fd36a304b772b438e17e16288dd1bedfc6fae52dc9c1a48f81829f"],"state_sha256":"fd7908b1ea3f6dfc1612a5f771d9b91be78cbaa49fb0b248f94cdcbf63991495"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IDRediAJa/a4RP3whPuZtOXV+j/i5mqLiIkpPbDR7p+2YRB9dJNoQnmXUnClWGmxT83cgDKBsntEQ8CQw6ZrDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T19:06:27.181194Z","bundle_sha256":"2e4106477bdeb5eaed6aa47e718647f8f9b42651dcca3511127b7e181c53237f"}}