{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PJVXXTHJL5R4Q5ZQRMFAEZA2WZ","short_pith_number":"pith:PJVXXTHJ","canonical_record":{"source":{"id":"2410.11996","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-15T19:04:13Z","cross_cats_sorted":[],"title_canon_sha256":"5c473c6a2131c63a3f26947cf8d614722b4f8ecf88e51e88501c70d153c3d2d5","abstract_canon_sha256":"e64fec854ec5d456d6469afc5c88767aeffbfbfd95a4e8c513dce00baab9130a"},"schema_version":"1.0"},"canonical_sha256":"7a6b7bcce95f63c877308b0a02641ab64e76e41bda9fb12e3c184987315fd9ff","source":{"kind":"arxiv","id":"2410.11996","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11996","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11996v3","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11996","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"pith_short_12","alias_value":"PJVXXTHJL5R4","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"pith_short_16","alias_value":"PJVXXTHJL5R4Q5ZQ","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"pith_short_8","alias_value":"PJVXXTHJ","created_at":"2026-07-05T10:30:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PJVXXTHJL5R4Q5ZQRMFAEZA2WZ","target":"record","payload":{"canonical_record":{"source":{"id":"2410.11996","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-15T19:04:13Z","cross_cats_sorted":[],"title_canon_sha256":"5c473c6a2131c63a3f26947cf8d614722b4f8ecf88e51e88501c70d153c3d2d5","abstract_canon_sha256":"e64fec854ec5d456d6469afc5c88767aeffbfbfd95a4e8c513dce00baab9130a"},"schema_version":"1.0"},"canonical_sha256":"7a6b7bcce95f63c877308b0a02641ab64e76e41bda9fb12e3c184987315fd9ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:02.288118Z","signature_b64":"An0J6DmGi2+7pnpmu89KSfkQ0b3xmmjDvtsM5qDlWMaTMbpOiXZdiNbhSWFKev5ZjwXElZ8R3hYQfNJgrUbADQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a6b7bcce95f63c877308b0a02641ab64e76e41bda9fb12e3c184987315fd9ff","last_reissued_at":"2026-07-05T10:30:02.286965Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:02.286965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.11996","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:30:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2BDtWOifCIjFejQa3a6v/ewTeniLF/mh/FtdvzE0h+tyeIYZEajdGo7dTCp25kWxU4xfgzSaPbS28AgDX0YODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:56:53.835882Z"},"content_sha256":"0ee840c5f66541ce1aa91515ea71736eafb424810b14ec8bcf83fcb8db24edd0","schema_version":"1.0","event_id":"sha256:0ee840c5f66541ce1aa91515ea71736eafb424810b14ec8bcf83fcb8db24edd0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PJVXXTHJL5R4Q5ZQRMFAEZA2WZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hayate Iso, Nikita Bhutani, Seiji Maekawa","submitted_at":"2024-10-15T19:04:13Z","abstract_excerpt":"The rapid increase in textual information means we need more efficient methods to sift through, organize, and understand it all. While retrieval-augmented generation (RAG) models excel in accessing information from large document collections, they struggle with complex tasks that require aggregation and reasoning over information spanning across multiple documents--what we call holistic reasoning. Long-context language models (LCLMs) have great potential for managing large-scale documents, but their holistic reasoning capabilities remain unclear. In this work, we introduce HoloBench, a novel f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11996","kind":"arxiv","version":3},"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/2410.11996/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":"2026-07-05T10:30:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YIWHCJRRMhkwAbCFYTL6ir3HUv0Z0zKtI0NwvPGuR2kwiQxPAO5AUUUwAhk44WEhVsAWJbTR7meKJLuuxurgBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:56:53.836791Z"},"content_sha256":"90795edef96cad6ff7076ebc8b2224be0f2e4de0330478b0ffb764695eac1cac","schema_version":"1.0","event_id":"sha256:90795edef96cad6ff7076ebc8b2224be0f2e4de0330478b0ffb764695eac1cac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PJVXXTHJL5R4Q5ZQRMFAEZA2WZ/bundle.json","state_url":"https://pith.science/pith/PJVXXTHJL5R4Q5ZQRMFAEZA2WZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PJVXXTHJL5R4Q5ZQRMFAEZA2WZ/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":"2026-08-04T11:56:53Z","links":{"resolver":"https://pith.science/pith/PJVXXTHJL5R4Q5ZQRMFAEZA2WZ","bundle":"https://pith.science/pith/PJVXXTHJL5R4Q5ZQRMFAEZA2WZ/bundle.json","state":"https://pith.science/pith/PJVXXTHJL5R4Q5ZQRMFAEZA2WZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PJVXXTHJL5R4Q5ZQRMFAEZA2WZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PJVXXTHJL5R4Q5ZQRMFAEZA2WZ","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":"e64fec854ec5d456d6469afc5c88767aeffbfbfd95a4e8c513dce00baab9130a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-15T19:04:13Z","title_canon_sha256":"5c473c6a2131c63a3f26947cf8d614722b4f8ecf88e51e88501c70d153c3d2d5"},"schema_version":"1.0","source":{"id":"2410.11996","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11996","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11996v3","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11996","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"pith_short_12","alias_value":"PJVXXTHJL5R4","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"pith_short_16","alias_value":"PJVXXTHJL5R4Q5ZQ","created_at":"2026-07-05T10:30:02Z"},{"alias_kind":"pith_short_8","alias_value":"PJVXXTHJ","created_at":"2026-07-05T10:30:02Z"}],"graph_snapshots":[{"event_id":"sha256:90795edef96cad6ff7076ebc8b2224be0f2e4de0330478b0ffb764695eac1cac","target":"graph","created_at":"2026-07-05T10:30:02Z","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/2410.11996/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid increase in textual information means we need more efficient methods to sift through, organize, and understand it all. While retrieval-augmented generation (RAG) models excel in accessing information from large document collections, they struggle with complex tasks that require aggregation and reasoning over information spanning across multiple documents--what we call holistic reasoning. Long-context language models (LCLMs) have great potential for managing large-scale documents, but their holistic reasoning capabilities remain unclear. In this work, we introduce HoloBench, a novel f","authors_text":"Hayate Iso, Nikita Bhutani, Seiji Maekawa","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-15T19:04:13Z","title":"Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11996","kind":"arxiv","version":3},"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":"sha256:0ee840c5f66541ce1aa91515ea71736eafb424810b14ec8bcf83fcb8db24edd0","target":"record","created_at":"2026-07-05T10:30:02Z","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":"e64fec854ec5d456d6469afc5c88767aeffbfbfd95a4e8c513dce00baab9130a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-15T19:04:13Z","title_canon_sha256":"5c473c6a2131c63a3f26947cf8d614722b4f8ecf88e51e88501c70d153c3d2d5"},"schema_version":"1.0","source":{"id":"2410.11996","kind":"arxiv","version":3}},"canonical_sha256":"7a6b7bcce95f63c877308b0a02641ab64e76e41bda9fb12e3c184987315fd9ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a6b7bcce95f63c877308b0a02641ab64e76e41bda9fb12e3c184987315fd9ff","first_computed_at":"2026-07-05T10:30:02.286965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:02.286965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"An0J6DmGi2+7pnpmu89KSfkQ0b3xmmjDvtsM5qDlWMaTMbpOiXZdiNbhSWFKev5ZjwXElZ8R3hYQfNJgrUbADQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:02.288118Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.11996","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ee840c5f66541ce1aa91515ea71736eafb424810b14ec8bcf83fcb8db24edd0","sha256:90795edef96cad6ff7076ebc8b2224be0f2e4de0330478b0ffb764695eac1cac"],"state_sha256":"451df3b575524f8295a450a740ae8d89dfc967a7c225c26dc651895d7fcc7eb1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BPyCU9XxSSieJei+QGWEyJRJ53yqTTPUIelT93/Y075gYIaHa0GcQ+sUZmS3Zd6tl9M+eFueA68fO/TpDyuaBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T11:56:53.856302Z","bundle_sha256":"e744c1fc5da301370edf623b2bf5947f32fd8d8161a67ee42564134acce3045d"}}