{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FWBGUQ2DVPRRPZL7DMTI4JM53M","short_pith_number":"pith:FWBGUQ2D","canonical_record":{"source":{"id":"2204.03930","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-08T08:52:09Z","cross_cats_sorted":[],"title_canon_sha256":"d970c0ea410b21b3e3a051506224421bd860e98402394e4ff4e5249175db23d0","abstract_canon_sha256":"5d83d6c45df7030c4ab2da03e94a1beb0d593edb088053678d260fdc9a83ea56"},"schema_version":"1.0"},"canonical_sha256":"2d826a4343abe317e57f1b268e259ddb0322f7be32913df497dfd37a9750f835","source":{"kind":"arxiv","id":"2204.03930","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.03930","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"arxiv_version","alias_value":"2204.03930v1","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.03930","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"pith_short_12","alias_value":"FWBGUQ2DVPRR","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"pith_short_16","alias_value":"FWBGUQ2DVPRRPZL7","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"pith_short_8","alias_value":"FWBGUQ2D","created_at":"2026-07-05T04:12:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FWBGUQ2DVPRRPZL7DMTI4JM53M","target":"record","payload":{"canonical_record":{"source":{"id":"2204.03930","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-08T08:52:09Z","cross_cats_sorted":[],"title_canon_sha256":"d970c0ea410b21b3e3a051506224421bd860e98402394e4ff4e5249175db23d0","abstract_canon_sha256":"5d83d6c45df7030c4ab2da03e94a1beb0d593edb088053678d260fdc9a83ea56"},"schema_version":"1.0"},"canonical_sha256":"2d826a4343abe317e57f1b268e259ddb0322f7be32913df497dfd37a9750f835","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:12:43.430373Z","signature_b64":"ZoskWiEc2Oehjrl9SPPxYQEnsPn6y4QtuWnvOo8lWgM/W/4od18/lDgQC3her4Oclw71uH72PjbW7Tl1oujVBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d826a4343abe317e57f1b268e259ddb0322f7be32913df497dfd37a9750f835","last_reissued_at":"2026-07-05T04:12:43.429815Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:12:43.429815Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.03930","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":"2026-07-05T04:12:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xR8IxoGTLcHrBZErObwGArVrSMrr/YltKB0wQQQKDXdidIea7luUmM5QFfn3FSDAcnoaKLGoIR0oYDhK36T6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T20:42:50.502972Z"},"content_sha256":"ac4c87438d8694d392daf45b72248798e54f721c02ec721372452339d2c429de","schema_version":"1.0","event_id":"sha256:ac4c87438d8694d392daf45b72248798e54f721c02ec721372452339d2c429de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FWBGUQ2DVPRRPZL7DMTI4JM53M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Rewriting to Remembering: Common Ground for Conversational QA Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adri\\`a de Gispert, Bill Byrne, Gianni Barlacchi, Marco Del Tredici, Xiaoyu Shen","submitted_at":"2022-04-08T08:52:09Z","abstract_excerpt":"In conversational QA, models have to leverage information in previous turns to answer upcoming questions. Current approaches, such as Question Rewriting, struggle to extract relevant information as the conversation unwinds. We introduce the Common Ground (CG), an approach to accumulate conversational information as it emerges and select the relevant information at every turn. We show that CG offers a more efficient and human-like way to exploit conversational information compared to existing approaches, leading to improvements on Open Domain Conversational QA."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.03930","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/2204.03930/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":"2026-07-05T04:12:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hWsa1+bWnuyfZELRdFAWh5WzSnSrVfazibV1j7jqSQqpPP1RWQuYm9HhwkdvTwb8L40VYeyK2mSVVtW1dqHOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T20:42:50.503556Z"},"content_sha256":"e17764245526e8d7dc81ea87a92e81c66d84d97d2facac8f998ba07226ed62fc","schema_version":"1.0","event_id":"sha256:e17764245526e8d7dc81ea87a92e81c66d84d97d2facac8f998ba07226ed62fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FWBGUQ2DVPRRPZL7DMTI4JM53M/bundle.json","state_url":"https://pith.science/pith/FWBGUQ2DVPRRPZL7DMTI4JM53M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FWBGUQ2DVPRRPZL7DMTI4JM53M/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":"2026-07-31T20:42:50Z","links":{"resolver":"https://pith.science/pith/FWBGUQ2DVPRRPZL7DMTI4JM53M","bundle":"https://pith.science/pith/FWBGUQ2DVPRRPZL7DMTI4JM53M/bundle.json","state":"https://pith.science/pith/FWBGUQ2DVPRRPZL7DMTI4JM53M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FWBGUQ2DVPRRPZL7DMTI4JM53M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FWBGUQ2DVPRRPZL7DMTI4JM53M","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":"5d83d6c45df7030c4ab2da03e94a1beb0d593edb088053678d260fdc9a83ea56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-08T08:52:09Z","title_canon_sha256":"d970c0ea410b21b3e3a051506224421bd860e98402394e4ff4e5249175db23d0"},"schema_version":"1.0","source":{"id":"2204.03930","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.03930","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"arxiv_version","alias_value":"2204.03930v1","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.03930","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"pith_short_12","alias_value":"FWBGUQ2DVPRR","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"pith_short_16","alias_value":"FWBGUQ2DVPRRPZL7","created_at":"2026-07-05T04:12:43Z"},{"alias_kind":"pith_short_8","alias_value":"FWBGUQ2D","created_at":"2026-07-05T04:12:43Z"}],"graph_snapshots":[{"event_id":"sha256:e17764245526e8d7dc81ea87a92e81c66d84d97d2facac8f998ba07226ed62fc","target":"graph","created_at":"2026-07-05T04:12:43Z","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/2204.03930/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In conversational QA, models have to leverage information in previous turns to answer upcoming questions. Current approaches, such as Question Rewriting, struggle to extract relevant information as the conversation unwinds. We introduce the Common Ground (CG), an approach to accumulate conversational information as it emerges and select the relevant information at every turn. We show that CG offers a more efficient and human-like way to exploit conversational information compared to existing approaches, leading to improvements on Open Domain Conversational QA.","authors_text":"Adri\\`a de Gispert, Bill Byrne, Gianni Barlacchi, Marco Del Tredici, Xiaoyu Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-08T08:52:09Z","title":"From Rewriting to Remembering: Common Ground for Conversational QA Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.03930","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:ac4c87438d8694d392daf45b72248798e54f721c02ec721372452339d2c429de","target":"record","created_at":"2026-07-05T04:12:43Z","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":"5d83d6c45df7030c4ab2da03e94a1beb0d593edb088053678d260fdc9a83ea56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-08T08:52:09Z","title_canon_sha256":"d970c0ea410b21b3e3a051506224421bd860e98402394e4ff4e5249175db23d0"},"schema_version":"1.0","source":{"id":"2204.03930","kind":"arxiv","version":1}},"canonical_sha256":"2d826a4343abe317e57f1b268e259ddb0322f7be32913df497dfd37a9750f835","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d826a4343abe317e57f1b268e259ddb0322f7be32913df497dfd37a9750f835","first_computed_at":"2026-07-05T04:12:43.429815Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:12:43.429815Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZoskWiEc2Oehjrl9SPPxYQEnsPn6y4QtuWnvOo8lWgM/W/4od18/lDgQC3her4Oclw71uH72PjbW7Tl1oujVBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:12:43.430373Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.03930","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac4c87438d8694d392daf45b72248798e54f721c02ec721372452339d2c429de","sha256:e17764245526e8d7dc81ea87a92e81c66d84d97d2facac8f998ba07226ed62fc"],"state_sha256":"78488dc43dd3b3465cd0b572d3fd4d80e6e7b6e8079e758d0ffd8d072a949721"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x8SEkUrJATPo9g4f4fgSi3h2tJlXf5UupruYulWZxxxUAMJm0KBZRYq+gQw3uDs4XE+HD1Ixq8IgdJsmOq9QAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T20:42:50.508443Z","bundle_sha256":"4d565f9f74aa807c7c9e979969cdabc336a20417d8299132f05248b69c26efd7"}}