{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:B7IP7QSXH27Z2OVXJOQCONVEL2","short_pith_number":"pith:B7IP7QSX","canonical_record":{"source":{"id":"2608.03655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-04T13:36:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cce5888c82815f60e53a0a6d523ff1ec18765b56bdb2bc48ed06ecbca1702150","abstract_canon_sha256":"9e2a3e7625ac1be466f54fb31708144de90d098f1c394da6ebf2c7a6cf4ef9e7"},"schema_version":"1.0"},"canonical_sha256":"0fd0ffc2573ebf9d3ab74ba02736a45eace216a9dea411aaa65cc8f2303bd30e","source":{"kind":"arxiv","id":"2608.03655","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03655","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03655v1","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03655","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"pith_short_12","alias_value":"B7IP7QSXH27Z","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"pith_short_16","alias_value":"B7IP7QSXH27Z2OVX","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"pith_short_8","alias_value":"B7IP7QSX","created_at":"2026-08-05T01:36:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:B7IP7QSXH27Z2OVXJOQCONVEL2","target":"record","payload":{"canonical_record":{"source":{"id":"2608.03655","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-04T13:36:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cce5888c82815f60e53a0a6d523ff1ec18765b56bdb2bc48ed06ecbca1702150","abstract_canon_sha256":"9e2a3e7625ac1be466f54fb31708144de90d098f1c394da6ebf2c7a6cf4ef9e7"},"schema_version":"1.0"},"canonical_sha256":"0fd0ffc2573ebf9d3ab74ba02736a45eace216a9dea411aaa65cc8f2303bd30e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T01:36:49.748644Z","signature_b64":"TtujKIHjWkbLMWEe9W6LCsLSnEJiPTHGa1P7Nj0hdf3XT6fsdQSU2WX0DsHsB3OmYVpThLjquVnRA01Y18xaDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0fd0ffc2573ebf9d3ab74ba02736a45eace216a9dea411aaa65cc8f2303bd30e","last_reissued_at":"2026-08-05T01:36:49.747266Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T01:36:49.747266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.03655","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":"2026-08-05T01:36:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p0RPantWn90Loj7KcFROIdLKukSQBdnmJS6a45N/YMDbsCmWbqjDZQUHajvOp3UJt94TCvbHlQXMgRE7rWmMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:44:08.734476Z"},"content_sha256":"3599e1e1d8353811b6df310a6109425a1b9ea106f2ecda1b40d6ec629e59ef2c","schema_version":"1.0","event_id":"sha256:3599e1e1d8353811b6df310a6109425a1b9ea106f2ecda1b40d6ec629e59ef2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:B7IP7QSXH27Z2OVXJOQCONVEL2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Decoupling Generation and Selection for Budget-Constrained Faithful Summarization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Guanghua Wang, Meng Xu, Zeyu Wang","submitted_at":"2026-08-04T13:36:25Z","abstract_excerpt":"Abstractive summarization models remain vulnerable to factual inconsistency, redundancy, and weak length control. We propose a modular generation-and-selection framework for sentence-budget-constrained summarization. A pretrained generator produces multiple candidate summaries, which are decomposed into sentence-level candidates. A combinatorial selector then constructs the final summary by balancing relevance, factuality, and redundancy under an explicit budget. The framework supports MMR, ILP, and a DPP-inspired log-determinant objective without retraining the generator. Experiments on CNN/D"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03655","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/2608.03655/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":"2026-08-05T01:36:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YXUgQneGd0A4wILaDJhfjgRdR67+TGIS1d+8+o4uGqdz3/pRgw2984yNKfQ7rOQgOCAl6C9Hc2uMdswNBDZTCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:44:08.734975Z"},"content_sha256":"9c0965c7a0c2a6da211a6f43124cba4de266682ccff83e40939611cb751be673","schema_version":"1.0","event_id":"sha256:9c0965c7a0c2a6da211a6f43124cba4de266682ccff83e40939611cb751be673"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:B7IP7QSXH27Z2OVXJOQCONVEL2","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2024.naacl-long.32) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Huang, Kung-Hsiang and Laban, Philippe and Fabbri, Alexander and Choubey, Prafulla Kumar and Joty, Shafiq and Xiong, Caiming and Wu, Chien-Sheng. Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case St","arxiv_id":"2608.03655","detector":"doi_compliance","evidence":{"ref_index":28,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2024.naacl-","reconstructed_doi":"10.18653/v1/2024.naacl-long.32"},"severity":"advisory","ref_index":28,"audited_at":"2026-08-05T15:18:27.317745Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2024.naacl-long.32","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"e04044712ee0275c8a4a8d82b66de9ba9bfc03a2247a12eeebb8975602e56f4b","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18089,"payload_sha256":"baeea4aaccbfb776b16fd3988d66f046d69603d287a6972d894a472182cad4e8","signature_b64":"s6bftYrejkMTgtFWlMPyNJuQNaDKd8+53MAK/imAKOHIGwjQWvwsB3acrGTmMQZQ553NIhc7p3IG4nNL9jOeCw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T15:18:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O8UI01uEZoT+4HkwjpZ6WC+BHatviXKl/ErO0qXj4ydXG2np0chq76U3oQk6LAlnrBD53c8UXmP5lX8pcXijDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:44:08.739383Z"},"content_sha256":"956a82d502c9554a84543a797ec867ddcd95ccb5be1acc08dada835314b5d1f3","schema_version":"1.0","event_id":"sha256:956a82d502c9554a84543a797ec867ddcd95ccb5be1acc08dada835314b5d1f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B7IP7QSXH27Z2OVXJOQCONVEL2/bundle.json","state_url":"https://pith.science/pith/B7IP7QSXH27Z2OVXJOQCONVEL2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B7IP7QSXH27Z2OVXJOQCONVEL2/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":"2026-08-08T08:44:08Z","links":{"resolver":"https://pith.science/pith/B7IP7QSXH27Z2OVXJOQCONVEL2","bundle":"https://pith.science/pith/B7IP7QSXH27Z2OVXJOQCONVEL2/bundle.json","state":"https://pith.science/pith/B7IP7QSXH27Z2OVXJOQCONVEL2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B7IP7QSXH27Z2OVXJOQCONVEL2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B7IP7QSXH27Z2OVXJOQCONVEL2","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9e2a3e7625ac1be466f54fb31708144de90d098f1c394da6ebf2c7a6cf4ef9e7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-04T13:36:25Z","title_canon_sha256":"cce5888c82815f60e53a0a6d523ff1ec18765b56bdb2bc48ed06ecbca1702150"},"schema_version":"1.0","source":{"id":"2608.03655","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03655","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03655v1","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03655","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"pith_short_12","alias_value":"B7IP7QSXH27Z","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"pith_short_16","alias_value":"B7IP7QSXH27Z2OVX","created_at":"2026-08-05T01:36:49Z"},{"alias_kind":"pith_short_8","alias_value":"B7IP7QSX","created_at":"2026-08-05T01:36:49Z"}],"graph_snapshots":[{"event_id":"sha256:9c0965c7a0c2a6da211a6f43124cba4de266682ccff83e40939611cb751be673","target":"graph","created_at":"2026-08-05T01:36:49Z","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/2608.03655/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Abstractive summarization models remain vulnerable to factual inconsistency, redundancy, and weak length control. We propose a modular generation-and-selection framework for sentence-budget-constrained summarization. A pretrained generator produces multiple candidate summaries, which are decomposed into sentence-level candidates. A combinatorial selector then constructs the final summary by balancing relevance, factuality, and redundancy under an explicit budget. The framework supports MMR, ILP, and a DPP-inspired log-determinant objective without retraining the generator. Experiments on CNN/D","authors_text":"Guanghua Wang, Meng Xu, Zeyu Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-04T13:36:25Z","title":"Decoupling Generation and Selection for Budget-Constrained Faithful Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03655","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":"sha256:3599e1e1d8353811b6df310a6109425a1b9ea106f2ecda1b40d6ec629e59ef2c","target":"record","created_at":"2026-08-05T01:36:49Z","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":"9e2a3e7625ac1be466f54fb31708144de90d098f1c394da6ebf2c7a6cf4ef9e7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-04T13:36:25Z","title_canon_sha256":"cce5888c82815f60e53a0a6d523ff1ec18765b56bdb2bc48ed06ecbca1702150"},"schema_version":"1.0","source":{"id":"2608.03655","kind":"arxiv","version":1}},"canonical_sha256":"0fd0ffc2573ebf9d3ab74ba02736a45eace216a9dea411aaa65cc8f2303bd30e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0fd0ffc2573ebf9d3ab74ba02736a45eace216a9dea411aaa65cc8f2303bd30e","first_computed_at":"2026-08-05T01:36:49.747266Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T01:36:49.747266Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TtujKIHjWkbLMWEe9W6LCsLSnEJiPTHGa1P7Nj0hdf3XT6fsdQSU2WX0DsHsB3OmYVpThLjquVnRA01Y18xaDA==","signature_status":"signed_v1","signed_at":"2026-08-05T01:36:49.748644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.03655","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3599e1e1d8353811b6df310a6109425a1b9ea106f2ecda1b40d6ec629e59ef2c","sha256:9c0965c7a0c2a6da211a6f43124cba4de266682ccff83e40939611cb751be673","sha256:956a82d502c9554a84543a797ec867ddcd95ccb5be1acc08dada835314b5d1f3"],"state_sha256":"88bfd0aad1745db30e2ed99ab423b4b8bc61671b68b26aa6c056dad6f2d25d0a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FyA3ZocvtJa/qCOok6zeCH4XJpvM5I6meuRUDLKoexPkosq7dIW58F6rNnSg9zwV81v0y+yFc91UHCD6S4s4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:44:08.741808Z","bundle_sha256":"47d8f31cf33693966889d3b7b58250165abb5c7b9d35f8c397de07e47814c78b"}}