{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3BFJ44QZWETLWTXWFPR5MNNN37","short_pith_number":"pith:3BFJ44QZ","canonical_record":{"source":{"id":"2507.00152","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T18:04:36Z","cross_cats_sorted":[],"title_canon_sha256":"f7bec161514fd556d6ad00b2b29c8ca5271c0b3b4da6de8b6c447360e7c11935","abstract_canon_sha256":"7e3e0d91e3b84881fa6ff62f34a1b8cf52cb4e0c42e610c852498fa244839d8e"},"schema_version":"1.0"},"canonical_sha256":"d84a9e7219b126bb4ef62be3d635addfc1d06db113a004ebfa22cc3924c415bc","source":{"kind":"arxiv","id":"2507.00152","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00152","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00152v1","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00152","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"pith_short_12","alias_value":"3BFJ44QZWETL","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"pith_short_16","alias_value":"3BFJ44QZWETLWTXW","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"pith_short_8","alias_value":"3BFJ44QZ","created_at":"2026-07-05T11:59:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3BFJ44QZWETLWTXWFPR5MNNN37","target":"record","payload":{"canonical_record":{"source":{"id":"2507.00152","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T18:04:36Z","cross_cats_sorted":[],"title_canon_sha256":"f7bec161514fd556d6ad00b2b29c8ca5271c0b3b4da6de8b6c447360e7c11935","abstract_canon_sha256":"7e3e0d91e3b84881fa6ff62f34a1b8cf52cb4e0c42e610c852498fa244839d8e"},"schema_version":"1.0"},"canonical_sha256":"d84a9e7219b126bb4ef62be3d635addfc1d06db113a004ebfa22cc3924c415bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:59:16.786864Z","signature_b64":"PUAiKTHYOJ/o/nyn8TljvJD+xXcb5uJVWLORY1PKdyC2/h/AjZS4bZF8qRWW2uzKJumNTfHaXY33MYCGx1gmDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d84a9e7219b126bb4ef62be3d635addfc1d06db113a004ebfa22cc3924c415bc","last_reissued_at":"2026-07-05T11:59:16.786404Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:59:16.786404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.00152","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":"2026-07-05T11:59:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8EWJ7+tuTC978q/KGxxWVrvQBHmpDA0tMtZw9J3TO6br3nFg6RJzq/rmePIRk2rAeuyPhOScAKaJfZVXSqkbDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:12:44.298138Z"},"content_sha256":"590e9bff5d5eb11420bd96fd725b88fafa13d3d477e5da85e0e0f341f3c9f1ff","schema_version":"1.0","event_id":"sha256:590e9bff5d5eb11420bd96fd725b88fafa13d3d477e5da85e0e0f341f3c9f1ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3BFJ44QZWETLWTXWFPR5MNNN37","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ekaterina Borisova, Fabio Barth, Georg Rehm, Malte Ostendorff, Nils Feldhus, Pedro Ortiz Suarez, Raia Abu Ahmad, Sebastian M\\\"oller","submitted_at":"2025-06-30T18:04:36Z","abstract_excerpt":"Tables are among the most widely used tools for representing structured data in research, business, medicine, and education. Although LLMs demonstrate strong performance in downstream tasks, their efficiency in processing tabular data remains underexplored. In this paper, we investigate the effectiveness of both text-based and multimodal LLMs on table understanding tasks through a cross-domain and cross-modality evaluation. Specifically, we compare their performance on tables from scientific vs. non-scientific contexts and examine their robustness on tables represented as images vs. text. Addi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00152","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/2507.00152/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":"2026-07-05T11:59:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SNhFCTqnd9U0/6HG0p/H1AI+fBVdWxsvT2RhEb3UTBv9PkUWd1r84Y9ESvAZE5rAkB1GTEuGO2LugbRiYKT0Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T14:12:44.298655Z"},"content_sha256":"3421f01f03092fceefb7df529de45c2b679ebe46219afed273161a0f5cb9df21","schema_version":"1.0","event_id":"sha256:3421f01f03092fceefb7df529de45c2b679ebe46219afed273161a0f5cb9df21"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3BFJ44QZWETLWTXWFPR5MNNN37/bundle.json","state_url":"https://pith.science/pith/3BFJ44QZWETLWTXWFPR5MNNN37/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3BFJ44QZWETLWTXWFPR5MNNN37/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":"2026-08-07T14:12:44Z","links":{"resolver":"https://pith.science/pith/3BFJ44QZWETLWTXWFPR5MNNN37","bundle":"https://pith.science/pith/3BFJ44QZWETLWTXWFPR5MNNN37/bundle.json","state":"https://pith.science/pith/3BFJ44QZWETLWTXWFPR5MNNN37/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3BFJ44QZWETLWTXWFPR5MNNN37/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3BFJ44QZWETLWTXWFPR5MNNN37","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":"7e3e0d91e3b84881fa6ff62f34a1b8cf52cb4e0c42e610c852498fa244839d8e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T18:04:36Z","title_canon_sha256":"f7bec161514fd556d6ad00b2b29c8ca5271c0b3b4da6de8b6c447360e7c11935"},"schema_version":"1.0","source":{"id":"2507.00152","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.00152","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"arxiv_version","alias_value":"2507.00152v1","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00152","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"pith_short_12","alias_value":"3BFJ44QZWETL","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"pith_short_16","alias_value":"3BFJ44QZWETLWTXW","created_at":"2026-07-05T11:59:16Z"},{"alias_kind":"pith_short_8","alias_value":"3BFJ44QZ","created_at":"2026-07-05T11:59:16Z"}],"graph_snapshots":[{"event_id":"sha256:3421f01f03092fceefb7df529de45c2b679ebe46219afed273161a0f5cb9df21","target":"graph","created_at":"2026-07-05T11:59:16Z","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/2507.00152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tables are among the most widely used tools for representing structured data in research, business, medicine, and education. Although LLMs demonstrate strong performance in downstream tasks, their efficiency in processing tabular data remains underexplored. In this paper, we investigate the effectiveness of both text-based and multimodal LLMs on table understanding tasks through a cross-domain and cross-modality evaluation. Specifically, we compare their performance on tables from scientific vs. non-scientific contexts and examine their robustness on tables represented as images vs. text. Addi","authors_text":"Ekaterina Borisova, Fabio Barth, Georg Rehm, Malte Ostendorff, Nils Feldhus, Pedro Ortiz Suarez, Raia Abu Ahmad, Sebastian M\\\"oller","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00152","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":"sha256:590e9bff5d5eb11420bd96fd725b88fafa13d3d477e5da85e0e0f341f3c9f1ff","target":"record","created_at":"2026-07-05T11:59:16Z","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":"7e3e0d91e3b84881fa6ff62f34a1b8cf52cb4e0c42e610c852498fa244839d8e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-30T18:04:36Z","title_canon_sha256":"f7bec161514fd556d6ad00b2b29c8ca5271c0b3b4da6de8b6c447360e7c11935"},"schema_version":"1.0","source":{"id":"2507.00152","kind":"arxiv","version":1}},"canonical_sha256":"d84a9e7219b126bb4ef62be3d635addfc1d06db113a004ebfa22cc3924c415bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d84a9e7219b126bb4ef62be3d635addfc1d06db113a004ebfa22cc3924c415bc","first_computed_at":"2026-07-05T11:59:16.786404Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:59:16.786404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PUAiKTHYOJ/o/nyn8TljvJD+xXcb5uJVWLORY1PKdyC2/h/AjZS4bZF8qRWW2uzKJumNTfHaXY33MYCGx1gmDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:59:16.786864Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.00152","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:590e9bff5d5eb11420bd96fd725b88fafa13d3d477e5da85e0e0f341f3c9f1ff","sha256:3421f01f03092fceefb7df529de45c2b679ebe46219afed273161a0f5cb9df21"],"state_sha256":"a16f2db5ebdcc44df5d5b2f4b7a2eb2f91f551fd36a486894090c583012682a1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nAWKrBslpQD5Q3SbWjSsaaYItn9LDTJoCiTyAjlYg83yOMLOA0lftaowA7GkTdRT1k6P6J6Z5zRyNQ8kSD51CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T14:12:44.304223Z","bundle_sha256":"e4b967117b7c686605ba03b990a918c10e9a50d210f1d2bd45a743155ed71343"}}