{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:OHHBDPTMXAHJXKLTU2RRSB7SKM","short_pith_number":"pith:OHHBDPTM","canonical_record":{"source":{"id":"2210.06496","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T18:00:07Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"title_canon_sha256":"42342c4bdad4c6926ac5152729ea1243f7b45a6711e02da502a791218d173486","abstract_canon_sha256":"426f147e0a00426f3b9ddb9efce244f9603ee4d14e71005853761c9dcbb6e4fc"},"schema_version":"1.0"},"canonical_sha256":"71ce11be6cb80e9ba973a6a31907f253236c30264fb18806d8657a3f4ca5a507","source":{"kind":"arxiv","id":"2210.06496","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.06496","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"arxiv_version","alias_value":"2210.06496v1","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.06496","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"pith_short_12","alias_value":"OHHBDPTMXAHJ","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"pith_short_16","alias_value":"OHHBDPTMXAHJXKLT","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"pith_short_8","alias_value":"OHHBDPTM","created_at":"2026-07-05T05:06:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:OHHBDPTMXAHJXKLTU2RRSB7SKM","target":"record","payload":{"canonical_record":{"source":{"id":"2210.06496","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T18:00:07Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"title_canon_sha256":"42342c4bdad4c6926ac5152729ea1243f7b45a6711e02da502a791218d173486","abstract_canon_sha256":"426f147e0a00426f3b9ddb9efce244f9603ee4d14e71005853761c9dcbb6e4fc"},"schema_version":"1.0"},"canonical_sha256":"71ce11be6cb80e9ba973a6a31907f253236c30264fb18806d8657a3f4ca5a507","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:06:01.704953Z","signature_b64":"P5qi87zxgrp2P6PKlnp7nG6a8p+zb+4SJkxzc3yn2806H0RszkOW9l1Iqb/D4VsAQAE1uLquXk+v99Ywx4IgCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71ce11be6cb80e9ba973a6a31907f253236c30264fb18806d8657a3f4ca5a507","last_reissued_at":"2026-07-05T05:06:01.704402Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:06:01.704402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.06496","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":"2026-07-05T05:06:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9/8wdVolHPQTbL+KPK6gg12lE+/sHD2ca/b4TEUixahbtJo73wUmH2Pkpry6cIwz0NnBP1jHdn1sv7u++Do6BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:55:26.774457Z"},"content_sha256":"36e1513676ff32d7f3713be27aa4698043d2bdc3db28076068291fdd9f96495a","schema_version":"1.0","event_id":"sha256:36e1513676ff32d7f3713be27aa4698043d2bdc3db28076068291fdd9f96495a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:OHHBDPTMXAHJXKLTU2RRSB7SKM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SUMBot: Summarizing Context in Open-Domain Dialogue Systems","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Lu\\'isa Coheur, Rui Ribeiro","submitted_at":"2022-10-12T18:00:07Z","abstract_excerpt":"In this paper, we investigate the problem of including relevant information as context in open-domain dialogue systems. Most models struggle to identify and incorporate important knowledge from dialogues and simply use the entire turns as context, which increases the size of the input fed to the model with unnecessary information. Additionally, due to the input size limitation of a few hundred tokens of large pre-trained models, regions of the history are not included and informative parts from the dialogue may be omitted. In order to surpass this problem, we introduce a simple method that sub"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.06496","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/2210.06496/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":"2026-07-05T05:06:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GVE9l74DaWgi0k9k2GqJ2yhG/YWHYkOMSDNgID/DqTi/r+Vkjvzfl2n8I2wjZBbO59R9MRLFPaoFfq0lck2RDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:55:26.774943Z"},"content_sha256":"90753b3712ba040720b87019b5cd39f83fd1e37cddca2f49add24ca227073f85","schema_version":"1.0","event_id":"sha256:90753b3712ba040720b87019b5cd39f83fd1e37cddca2f49add24ca227073f85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OHHBDPTMXAHJXKLTU2RRSB7SKM/bundle.json","state_url":"https://pith.science/pith/OHHBDPTMXAHJXKLTU2RRSB7SKM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OHHBDPTMXAHJXKLTU2RRSB7SKM/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":"2026-08-03T15:55:26Z","links":{"resolver":"https://pith.science/pith/OHHBDPTMXAHJXKLTU2RRSB7SKM","bundle":"https://pith.science/pith/OHHBDPTMXAHJXKLTU2RRSB7SKM/bundle.json","state":"https://pith.science/pith/OHHBDPTMXAHJXKLTU2RRSB7SKM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OHHBDPTMXAHJXKLTU2RRSB7SKM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OHHBDPTMXAHJXKLTU2RRSB7SKM","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":"426f147e0a00426f3b9ddb9efce244f9603ee4d14e71005853761c9dcbb6e4fc","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T18:00:07Z","title_canon_sha256":"42342c4bdad4c6926ac5152729ea1243f7b45a6711e02da502a791218d173486"},"schema_version":"1.0","source":{"id":"2210.06496","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.06496","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"arxiv_version","alias_value":"2210.06496v1","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.06496","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"pith_short_12","alias_value":"OHHBDPTMXAHJ","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"pith_short_16","alias_value":"OHHBDPTMXAHJXKLT","created_at":"2026-07-05T05:06:01Z"},{"alias_kind":"pith_short_8","alias_value":"OHHBDPTM","created_at":"2026-07-05T05:06:01Z"}],"graph_snapshots":[{"event_id":"sha256:90753b3712ba040720b87019b5cd39f83fd1e37cddca2f49add24ca227073f85","target":"graph","created_at":"2026-07-05T05:06:01Z","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/2210.06496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we investigate the problem of including relevant information as context in open-domain dialogue systems. Most models struggle to identify and incorporate important knowledge from dialogues and simply use the entire turns as context, which increases the size of the input fed to the model with unnecessary information. Additionally, due to the input size limitation of a few hundred tokens of large pre-trained models, regions of the history are not included and informative parts from the dialogue may be omitted. In order to surpass this problem, we introduce a simple method that sub","authors_text":"Lu\\'isa Coheur, Rui Ribeiro","cross_cats":["cs.AI","cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T18:00:07Z","title":"SUMBot: Summarizing Context in Open-Domain Dialogue Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.06496","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":"sha256:36e1513676ff32d7f3713be27aa4698043d2bdc3db28076068291fdd9f96495a","target":"record","created_at":"2026-07-05T05:06:01Z","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":"426f147e0a00426f3b9ddb9efce244f9603ee4d14e71005853761c9dcbb6e4fc","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-12T18:00:07Z","title_canon_sha256":"42342c4bdad4c6926ac5152729ea1243f7b45a6711e02da502a791218d173486"},"schema_version":"1.0","source":{"id":"2210.06496","kind":"arxiv","version":1}},"canonical_sha256":"71ce11be6cb80e9ba973a6a31907f253236c30264fb18806d8657a3f4ca5a507","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71ce11be6cb80e9ba973a6a31907f253236c30264fb18806d8657a3f4ca5a507","first_computed_at":"2026-07-05T05:06:01.704402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:06:01.704402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P5qi87zxgrp2P6PKlnp7nG6a8p+zb+4SJkxzc3yn2806H0RszkOW9l1Iqb/D4VsAQAE1uLquXk+v99Ywx4IgCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:06:01.704953Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.06496","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36e1513676ff32d7f3713be27aa4698043d2bdc3db28076068291fdd9f96495a","sha256:90753b3712ba040720b87019b5cd39f83fd1e37cddca2f49add24ca227073f85"],"state_sha256":"857ffd0d8cf5e48c4de6e9e330b6c4c3c960ef8f5d8976f798b73405d9e73874"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VhGI4GOGvSf3Yuzi4t/mCOatP0b5TZ3DVkQhSfnqrq3Z0/UAZ/nIOBM3JUQ25VNj+p1EDYfz1eeCOzHiZEsOBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:55:26.778179Z","bundle_sha256":"db004dfd0e1b5921bd6fc4161ef2d701d9028ee95beb4bffd27f4f0573f1ea56"}}