{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AEDNCSO3O5EG2BDVCZCZGCBHXS","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":"947244d6edbb518d7e4423c3212413351431abfdcd5698a861177e651e7900ed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T09:53:01Z","title_canon_sha256":"782c440a9694710fa3c4a23bf161e028aeb51889981c9ca8b2ae8b030d6c1f03"},"schema_version":"1.0","source":{"id":"2509.01312","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01312","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01312v1","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01312","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_12","alias_value":"AEDNCSO3O5EG","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_16","alias_value":"AEDNCSO3O5EG2BDV","created_at":"2026-07-05T12:02:58Z"},{"alias_kind":"pith_short_8","alias_value":"AEDNCSO3","created_at":"2026-07-05T12:02:58Z"}],"graph_snapshots":[{"event_id":"sha256:999d98be37a76da22780cd2b3784e03d316a9e38c495d0d940acc7b9a99bc698","target":"graph","created_at":"2026-07-05T12:02:58Z","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/2509.01312/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While large language models (LLMs) have shown promise in the table question answering (TQA) task through prompt engineering, they face challenges in industrial applications, including structural heterogeneity, difficulties in target data localization, and bottlenecks in complex reasoning. To address these limitations, this paper presents TableZoomer, a novel LLM-powered, programming-based agent framework. It introduces three key innovations: (1) replacing the original fully verbalized table with structured table schema to bridge the semantic gap and reduce computational complexity; (2) a query","authors_text":"Changzai Pan, Jie Zhang, Shuangyong Song, Sishi Xiong, Yongxiang Li, Yu Zhao, Zhenhe Wu, Zhongjiang He, Ziyang He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T09:53:01Z","title":"TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01312","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":"sha256:7629ff26cdb6e7a86848c6b6b9acd24457544377b1391bce304f2ae1b36854c4","target":"record","created_at":"2026-07-05T12:02:58Z","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":"947244d6edbb518d7e4423c3212413351431abfdcd5698a861177e651e7900ed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-09-01T09:53:01Z","title_canon_sha256":"782c440a9694710fa3c4a23bf161e028aeb51889981c9ca8b2ae8b030d6c1f03"},"schema_version":"1.0","source":{"id":"2509.01312","kind":"arxiv","version":1}},"canonical_sha256":"0106d149db77486d04751645930827bc8a678de3022f4a1d28ad5c3397406635","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0106d149db77486d04751645930827bc8a678de3022f4a1d28ad5c3397406635","first_computed_at":"2026-07-05T12:02:58.100628Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:58.100628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gm7KUWJDGmEfLRldxjspU6vSdXebfyuIB0oG1Kk8l7dKlxbLWkHxRn/9fulLi/LlNusJWNZVXyp0cZkiwgcZAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:58.101123Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01312","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7629ff26cdb6e7a86848c6b6b9acd24457544377b1391bce304f2ae1b36854c4","sha256:999d98be37a76da22780cd2b3784e03d316a9e38c495d0d940acc7b9a99bc698"],"state_sha256":"1a7f4013bed1cfdfc65aecfdd22934ad8e42451107881649b30f15d96c279b7e"}