{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:RUQIVFCXZP545XTEJ464F6F4DP","short_pith_number":"pith:RUQIVFCX","canonical_record":{"source":{"id":"2104.08455","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-17T05:23:44Z","cross_cats_sorted":[],"title_canon_sha256":"347970aaeb6845d6e0dbb4598b7f2a7cbb13c6fde4ef4ff9e4ef6fbbb7d2f823","abstract_canon_sha256":"aadbf0abe3b61f10784dd721394630a459915d837216f8a4659aaa3ca66477c9"},"schema_version":"1.0"},"canonical_sha256":"8d208a9457cbfbcede644f3dc2f8bc1bcc2c686bcf21ca688c264c4891f2cbe6","source":{"kind":"arxiv","id":"2104.08455","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08455","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08455v2","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08455","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"pith_short_12","alias_value":"RUQIVFCXZP54","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"pith_short_16","alias_value":"RUQIVFCXZP545XTE","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"pith_short_8","alias_value":"RUQIVFCX","created_at":"2026-07-05T03:14:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:RUQIVFCXZP545XTEJ464F6F4DP","target":"record","payload":{"canonical_record":{"source":{"id":"2104.08455","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-17T05:23:44Z","cross_cats_sorted":[],"title_canon_sha256":"347970aaeb6845d6e0dbb4598b7f2a7cbb13c6fde4ef4ff9e4ef6fbbb7d2f823","abstract_canon_sha256":"aadbf0abe3b61f10784dd721394630a459915d837216f8a4659aaa3ca66477c9"},"schema_version":"1.0"},"canonical_sha256":"8d208a9457cbfbcede644f3dc2f8bc1bcc2c686bcf21ca688c264c4891f2cbe6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:14:14.181247Z","signature_b64":"QWbl6UqTjIDY/V/+tOFAOkbuYyr8MZz359bksSI4rOe62xsycju+lZhgVtyrHgsc6gYBpsM4XRg5DcjQgH7hBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d208a9457cbfbcede644f3dc2f8bc1bcc2c686bcf21ca688c264c4891f2cbe6","last_reissued_at":"2026-07-05T03:14:14.180837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:14:14.180837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.08455","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:14:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IMfkg4BMvrN9GLNRgO6V3XjbaO90tJiCudcNwYI+rj4gkydBJDO9CDCMfN2clCfN4jkNoIHbmK1TMIDovpzCCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T23:48:13.033649Z"},"content_sha256":"631526e069e09a6f85dbb58f56cc37ca4e1d3bd69ba52eccee253ea9b03a8323","schema_version":"1.0","event_id":"sha256:631526e069e09a6f85dbb58f56cc37ca4e1d3bd69ba52eccee253ea9b03a8323"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:RUQIVFCXZP545XTEJ464F6F4DP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andrea Madotto, Avishek Joey Bose, Nouha Dziri, Osmar Zaiane","submitted_at":"2021-04-17T05:23:44Z","abstract_excerpt":"Dialogue systems powered by large pre-trained language models (LM) exhibit an innate ability to deliver fluent and natural-looking responses. Despite their impressive generation performance, these models can often generate factually incorrect statements impeding their widespread adoption. In this paper, we focus on the task of improving the faithfulness -- and thus reduce hallucination -- of Neural Dialogue Systems to known facts supplied by a Knowledge Graph (KG). We propose Neural Path Hunter which follows a generate-then-refine strategy whereby a generated response is amended using the k-ho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08455","kind":"arxiv","version":2},"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/2104.08455/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":"2026-07-05T03:14:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ss9tNG+kuz0lwhVrVvS5HgMsljdKjJSZ47Ack7eaLZIG6r8jzJqnWYLx59wXpN0wqQ4pGToDodF+x52V3uWFDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T23:48:13.034143Z"},"content_sha256":"3f3a740398568d9f3aa4bd5c219be9f1a30de790153864c79a415d6335d6e113","schema_version":"1.0","event_id":"sha256:3f3a740398568d9f3aa4bd5c219be9f1a30de790153864c79a415d6335d6e113"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RUQIVFCXZP545XTEJ464F6F4DP/bundle.json","state_url":"https://pith.science/pith/RUQIVFCXZP545XTEJ464F6F4DP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RUQIVFCXZP545XTEJ464F6F4DP/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":"2026-08-16T23:48:13Z","links":{"resolver":"https://pith.science/pith/RUQIVFCXZP545XTEJ464F6F4DP","bundle":"https://pith.science/pith/RUQIVFCXZP545XTEJ464F6F4DP/bundle.json","state":"https://pith.science/pith/RUQIVFCXZP545XTEJ464F6F4DP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RUQIVFCXZP545XTEJ464F6F4DP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RUQIVFCXZP545XTEJ464F6F4DP","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":"aadbf0abe3b61f10784dd721394630a459915d837216f8a4659aaa3ca66477c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-17T05:23:44Z","title_canon_sha256":"347970aaeb6845d6e0dbb4598b7f2a7cbb13c6fde4ef4ff9e4ef6fbbb7d2f823"},"schema_version":"1.0","source":{"id":"2104.08455","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08455","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08455v2","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08455","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"pith_short_12","alias_value":"RUQIVFCXZP54","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"pith_short_16","alias_value":"RUQIVFCXZP545XTE","created_at":"2026-07-05T03:14:14Z"},{"alias_kind":"pith_short_8","alias_value":"RUQIVFCX","created_at":"2026-07-05T03:14:14Z"}],"graph_snapshots":[{"event_id":"sha256:3f3a740398568d9f3aa4bd5c219be9f1a30de790153864c79a415d6335d6e113","target":"graph","created_at":"2026-07-05T03:14:14Z","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/2104.08455/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dialogue systems powered by large pre-trained language models (LM) exhibit an innate ability to deliver fluent and natural-looking responses. Despite their impressive generation performance, these models can often generate factually incorrect statements impeding their widespread adoption. In this paper, we focus on the task of improving the faithfulness -- and thus reduce hallucination -- of Neural Dialogue Systems to known facts supplied by a Knowledge Graph (KG). We propose Neural Path Hunter which follows a generate-then-refine strategy whereby a generated response is amended using the k-ho","authors_text":"Andrea Madotto, Avishek Joey Bose, Nouha Dziri, Osmar Zaiane","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-17T05:23:44Z","title":"Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08455","kind":"arxiv","version":2},"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":"sha256:631526e069e09a6f85dbb58f56cc37ca4e1d3bd69ba52eccee253ea9b03a8323","target":"record","created_at":"2026-07-05T03:14:14Z","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":"aadbf0abe3b61f10784dd721394630a459915d837216f8a4659aaa3ca66477c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-17T05:23:44Z","title_canon_sha256":"347970aaeb6845d6e0dbb4598b7f2a7cbb13c6fde4ef4ff9e4ef6fbbb7d2f823"},"schema_version":"1.0","source":{"id":"2104.08455","kind":"arxiv","version":2}},"canonical_sha256":"8d208a9457cbfbcede644f3dc2f8bc1bcc2c686bcf21ca688c264c4891f2cbe6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d208a9457cbfbcede644f3dc2f8bc1bcc2c686bcf21ca688c264c4891f2cbe6","first_computed_at":"2026-07-05T03:14:14.180837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:14:14.180837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QWbl6UqTjIDY/V/+tOFAOkbuYyr8MZz359bksSI4rOe62xsycju+lZhgVtyrHgsc6gYBpsM4XRg5DcjQgH7hBw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:14:14.181247Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.08455","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:631526e069e09a6f85dbb58f56cc37ca4e1d3bd69ba52eccee253ea9b03a8323","sha256:3f3a740398568d9f3aa4bd5c219be9f1a30de790153864c79a415d6335d6e113"],"state_sha256":"bbc9d5d5db28e7b49bab31dc30dd881bb8da3f2a9f7368a2e52edd6fbecb0e3e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y31IQy/KkhKjARZ1raTBPffAfCXCQHmE6B+YKx8OfSZmXEHbhQVEbSmicSxa8ZIFQB6heJYeTLSf0QR0fDGZAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T23:48:13.037719Z","bundle_sha256":"b8f7b7f1586ae4f7a17a771ecef56f47df36e0e9aa66817222271543adf4489b"}}