{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FYDDRT72ZHSZDQRVE3UOPJC7RT","short_pith_number":"pith:FYDDRT72","canonical_record":{"source":{"id":"2310.15836","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T13:43:01Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9ea12d7c9bb8ad9c0c6b6064a707e9b468c5f409fd533c0a2eb206ac3d46988f","abstract_canon_sha256":"42613d0eb19c5f01b2023967b47dd507f2889a4e916e4797f8bd8f81c6c994d8"},"schema_version":"1.0"},"canonical_sha256":"2e0638cffac9e591c23526e8e7a45f8cc2ea40fe7ffe608703e470c0bfd9db60","source":{"kind":"arxiv","id":"2310.15836","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15836","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15836v1","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15836","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"pith_short_12","alias_value":"FYDDRT72ZHSZ","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"pith_short_16","alias_value":"FYDDRT72ZHSZDQRV","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"pith_short_8","alias_value":"FYDDRT72","created_at":"2026-07-05T07:04:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FYDDRT72ZHSZDQRVE3UOPJC7RT","target":"record","payload":{"canonical_record":{"source":{"id":"2310.15836","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T13:43:01Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9ea12d7c9bb8ad9c0c6b6064a707e9b468c5f409fd533c0a2eb206ac3d46988f","abstract_canon_sha256":"42613d0eb19c5f01b2023967b47dd507f2889a4e916e4797f8bd8f81c6c994d8"},"schema_version":"1.0"},"canonical_sha256":"2e0638cffac9e591c23526e8e7a45f8cc2ea40fe7ffe608703e470c0bfd9db60","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:04:31.602661Z","signature_b64":"ZZhBPQKjj5OEw+uKzeIo3Zjamn2ROFaLTsQkbzuefi7MPBGIL5/O8bkftbijRGL+znF0bRXeOagcS20E31XdAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e0638cffac9e591c23526e8e7a45f8cc2ea40fe7ffe608703e470c0bfd9db60","last_reissued_at":"2026-07-05T07:04:31.602165Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:04:31.602165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.15836","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":"2026-07-05T07:04:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pCmuXgUHD2MtuTdM7VTIs9b+PX1AAF0bwffvLouEoWYKZN3uYpDVHyGZYjEm0qM1NAL7eE3Lt0JBc1gKZ0mbCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:17:23.243998Z"},"content_sha256":"59457905d5abee1fdeb2e8a15638551ae02167c69739f3f14dd2803e2562ca9a","schema_version":"1.0","event_id":"sha256:59457905d5abee1fdeb2e8a15638551ae02167c69739f3f14dd2803e2562ca9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FYDDRT72ZHSZDQRVE3UOPJC7RT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Diffusion Weighted Graph Framework for New Intent Discovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Feng Tian, Ping Chen, Qianying Wang, Qinghua Zheng, Wenbin An, WenKai Shi","submitted_at":"2023-10-24T13:43:01Z","abstract_excerpt":"New Intent Discovery (NID) aims to recognize both new and known intents from unlabeled data with the aid of limited labeled data containing only known intents. Without considering structure relationships between samples, previous methods generate noisy supervisory signals which cannot strike a balance between quantity and quality, hindering the formation of new intent clusters and effective transfer of the pre-training knowledge. To mitigate this limitation, we propose a novel Diffusion Weighted Graph Framework (DWGF) to capture both semantic similarities and structure relationships inherent i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15836","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/2310.15836/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":"2026-07-05T07:04:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ajIazeIn58RTfa3XUHNBi+D5FeXeJV5BY5eic/BO8MRira9B6lY3voG255rAJKa1QMux6MAeUiotVR80QQ7IDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:17:23.244514Z"},"content_sha256":"868e81751abf47afc9649ae58ade0f35fa7e92890558997403941da349bc509d","schema_version":"1.0","event_id":"sha256:868e81751abf47afc9649ae58ade0f35fa7e92890558997403941da349bc509d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FYDDRT72ZHSZDQRVE3UOPJC7RT/bundle.json","state_url":"https://pith.science/pith/FYDDRT72ZHSZDQRVE3UOPJC7RT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FYDDRT72ZHSZDQRVE3UOPJC7RT/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":"2026-08-12T07:17:23Z","links":{"resolver":"https://pith.science/pith/FYDDRT72ZHSZDQRVE3UOPJC7RT","bundle":"https://pith.science/pith/FYDDRT72ZHSZDQRVE3UOPJC7RT/bundle.json","state":"https://pith.science/pith/FYDDRT72ZHSZDQRVE3UOPJC7RT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FYDDRT72ZHSZDQRVE3UOPJC7RT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FYDDRT72ZHSZDQRVE3UOPJC7RT","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":"42613d0eb19c5f01b2023967b47dd507f2889a4e916e4797f8bd8f81c6c994d8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T13:43:01Z","title_canon_sha256":"9ea12d7c9bb8ad9c0c6b6064a707e9b468c5f409fd533c0a2eb206ac3d46988f"},"schema_version":"1.0","source":{"id":"2310.15836","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15836","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15836v1","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15836","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"pith_short_12","alias_value":"FYDDRT72ZHSZ","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"pith_short_16","alias_value":"FYDDRT72ZHSZDQRV","created_at":"2026-07-05T07:04:31Z"},{"alias_kind":"pith_short_8","alias_value":"FYDDRT72","created_at":"2026-07-05T07:04:31Z"}],"graph_snapshots":[{"event_id":"sha256:868e81751abf47afc9649ae58ade0f35fa7e92890558997403941da349bc509d","target":"graph","created_at":"2026-07-05T07:04:31Z","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/2310.15836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"New Intent Discovery (NID) aims to recognize both new and known intents from unlabeled data with the aid of limited labeled data containing only known intents. Without considering structure relationships between samples, previous methods generate noisy supervisory signals which cannot strike a balance between quantity and quality, hindering the formation of new intent clusters and effective transfer of the pre-training knowledge. To mitigate this limitation, we propose a novel Diffusion Weighted Graph Framework (DWGF) to capture both semantic similarities and structure relationships inherent i","authors_text":"Feng Tian, Ping Chen, Qianying Wang, Qinghua Zheng, Wenbin An, WenKai Shi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T13:43:01Z","title":"A Diffusion Weighted Graph Framework for New Intent Discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15836","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":"sha256:59457905d5abee1fdeb2e8a15638551ae02167c69739f3f14dd2803e2562ca9a","target":"record","created_at":"2026-07-05T07:04:31Z","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":"42613d0eb19c5f01b2023967b47dd507f2889a4e916e4797f8bd8f81c6c994d8","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T13:43:01Z","title_canon_sha256":"9ea12d7c9bb8ad9c0c6b6064a707e9b468c5f409fd533c0a2eb206ac3d46988f"},"schema_version":"1.0","source":{"id":"2310.15836","kind":"arxiv","version":1}},"canonical_sha256":"2e0638cffac9e591c23526e8e7a45f8cc2ea40fe7ffe608703e470c0bfd9db60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e0638cffac9e591c23526e8e7a45f8cc2ea40fe7ffe608703e470c0bfd9db60","first_computed_at":"2026-07-05T07:04:31.602165Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:31.602165Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZZhBPQKjj5OEw+uKzeIo3Zjamn2ROFaLTsQkbzuefi7MPBGIL5/O8bkftbijRGL+znF0bRXeOagcS20E31XdAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:31.602661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.15836","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59457905d5abee1fdeb2e8a15638551ae02167c69739f3f14dd2803e2562ca9a","sha256:868e81751abf47afc9649ae58ade0f35fa7e92890558997403941da349bc509d"],"state_sha256":"dd7e1b534e41d8c2f33105113354baec787fb5c770ad71c0e886004190881187"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7acMfE05NmIGZSdg+UfYDg2cbC+p3/sTPGncHs0KW/wmTz4ION2pCAF/tfdGixWfQyqdX23gPLuzSRISbDYtAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T07:17:23.256341Z","bundle_sha256":"23fee9ae376f4ced1c6781620b68dd44879ecf7c7961bec928bf062406d54486"}}