{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:E5LEVN7UHZMJTIY3T6RGR4YORS","short_pith_number":"pith:E5LEVN7U","canonical_record":{"source":{"id":"2605.22422","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T12:42:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ae6cc4514d17e824d6f7360ff8defcb5961652f8cacf2accb9498888968da97c","abstract_canon_sha256":"99866bb32b83db57dbb9f141ccd9a370adb10ac024bef1cf35d53b33616a3d9f"},"schema_version":"1.0"},"canonical_sha256":"27564ab7f43e5899a31b9fa268f30e8c8f7b42c6f473ffccb9217cc3705035aa","source":{"kind":"arxiv","id":"2605.22422","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22422","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22422v1","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22422","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"pith_short_12","alias_value":"E5LEVN7UHZMJ","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"pith_short_16","alias_value":"E5LEVN7UHZMJTIY3","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"pith_short_8","alias_value":"E5LEVN7U","created_at":"2026-05-22T01:04:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:E5LEVN7UHZMJTIY3T6RGR4YORS","target":"record","payload":{"canonical_record":{"source":{"id":"2605.22422","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T12:42:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ae6cc4514d17e824d6f7360ff8defcb5961652f8cacf2accb9498888968da97c","abstract_canon_sha256":"99866bb32b83db57dbb9f141ccd9a370adb10ac024bef1cf35d53b33616a3d9f"},"schema_version":"1.0"},"canonical_sha256":"27564ab7f43e5899a31b9fa268f30e8c8f7b42c6f473ffccb9217cc3705035aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:42.464548Z","signature_b64":"LMLwC14+A/IAZwqvqJ5SQF26Hck/yNTWYVLbuv/TBk6BNV0droXe9aDd1vtQYigdp28KYKQHK4gAgs63m7OUBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27564ab7f43e5899a31b9fa268f30e8c8f7b42c6f473ffccb9217cc3705035aa","last_reissued_at":"2026-05-22T01:04:42.464086Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:42.464086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.22422","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":"2026-05-22T01:04:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nD8kLU2wb1D9reUO5Y4twrDnw6/zBbLIgUqxPdfzrEK2H6JpKB+7zLLQtyEkhyDDRfSrnz+nzm1CXJ2QeMmHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T16:16:23.375358Z"},"content_sha256":"0f12a2515591d3fd20689e40e06f2bc95ce3b85b56428598dd0cac2b3fd713f3","schema_version":"1.0","event_id":"sha256:0f12a2515591d3fd20689e40e06f2bc95ce3b85b56428598dd0cac2b3fd713f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:E5LEVN7UHZMJTIY3T6RGR4YORS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Amine Tamasna, Laziz Hamdi, Pascal Boisson, Thierry Paquet","submitted_at":"2026-05-21T12:42:58Z","abstract_excerpt":"Table structure recognition (TSR) requires both table-level coherence (row/column counts, headers, spanning cells) and precise separator localization. We introduce FastTab, a grid-centric TSR model that avoids autoregressive HTML decoding by combining (i) a lightweight Tiny Recursive Module (TRM) for global reasoning and (ii) axial 1D Transformer encoders that capture long-range dependencies along rows and columns. The model predicts row/column counts, header rows, and separators to construct a grid, then infers rowspan/colspan using ROI-aligned cell features. Across four benchmarks (PubTabNet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22422","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/2605.22422/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":"2026-05-22T01:04:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xOnU/cSBnmGtPPsR4RNNTBx4F/KT4s//ed/OjaN2UbghxWitI+TLpBQsrQKtI35ZA2YUTYAh3GmQGFUdeOneCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T16:16:23.376145Z"},"content_sha256":"a2ddab5b01207a0658fd550377d9c1a7c37cf92ce7723ec635a66fdc35bbfa35","schema_version":"1.0","event_id":"sha256:a2ddab5b01207a0658fd550377d9c1a7c37cf92ce7723ec635a66fdc35bbfa35"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E5LEVN7UHZMJTIY3T6RGR4YORS/bundle.json","state_url":"https://pith.science/pith/E5LEVN7UHZMJTIY3T6RGR4YORS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E5LEVN7UHZMJTIY3T6RGR4YORS/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":"2026-05-29T16:16:23Z","links":{"resolver":"https://pith.science/pith/E5LEVN7UHZMJTIY3T6RGR4YORS","bundle":"https://pith.science/pith/E5LEVN7UHZMJTIY3T6RGR4YORS/bundle.json","state":"https://pith.science/pith/E5LEVN7UHZMJTIY3T6RGR4YORS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E5LEVN7UHZMJTIY3T6RGR4YORS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:E5LEVN7UHZMJTIY3T6RGR4YORS","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":"99866bb32b83db57dbb9f141ccd9a370adb10ac024bef1cf35d53b33616a3d9f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T12:42:58Z","title_canon_sha256":"ae6cc4514d17e824d6f7360ff8defcb5961652f8cacf2accb9498888968da97c"},"schema_version":"1.0","source":{"id":"2605.22422","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22422","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22422v1","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22422","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"pith_short_12","alias_value":"E5LEVN7UHZMJ","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"pith_short_16","alias_value":"E5LEVN7UHZMJTIY3","created_at":"2026-05-22T01:04:42Z"},{"alias_kind":"pith_short_8","alias_value":"E5LEVN7U","created_at":"2026-05-22T01:04:42Z"}],"graph_snapshots":[{"event_id":"sha256:a2ddab5b01207a0658fd550377d9c1a7c37cf92ce7723ec635a66fdc35bbfa35","target":"graph","created_at":"2026-05-22T01:04:42Z","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/2605.22422/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Table structure recognition (TSR) requires both table-level coherence (row/column counts, headers, spanning cells) and precise separator localization. We introduce FastTab, a grid-centric TSR model that avoids autoregressive HTML decoding by combining (i) a lightweight Tiny Recursive Module (TRM) for global reasoning and (ii) axial 1D Transformer encoders that capture long-range dependencies along rows and columns. The model predicts row/column counts, header rows, and separators to construct a grid, then infers rowspan/colspan using ROI-aligned cell features. Across four benchmarks (PubTabNet","authors_text":"Amine Tamasna, Laziz Hamdi, Pascal Boisson, Thierry Paquet","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T12:42:58Z","title":"FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22422","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":"sha256:0f12a2515591d3fd20689e40e06f2bc95ce3b85b56428598dd0cac2b3fd713f3","target":"record","created_at":"2026-05-22T01:04:42Z","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":"99866bb32b83db57dbb9f141ccd9a370adb10ac024bef1cf35d53b33616a3d9f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T12:42:58Z","title_canon_sha256":"ae6cc4514d17e824d6f7360ff8defcb5961652f8cacf2accb9498888968da97c"},"schema_version":"1.0","source":{"id":"2605.22422","kind":"arxiv","version":1}},"canonical_sha256":"27564ab7f43e5899a31b9fa268f30e8c8f7b42c6f473ffccb9217cc3705035aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27564ab7f43e5899a31b9fa268f30e8c8f7b42c6f473ffccb9217cc3705035aa","first_computed_at":"2026-05-22T01:04:42.464086Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:42.464086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LMLwC14+A/IAZwqvqJ5SQF26Hck/yNTWYVLbuv/TBk6BNV0droXe9aDd1vtQYigdp28KYKQHK4gAgs63m7OUBw==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:42.464548Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22422","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f12a2515591d3fd20689e40e06f2bc95ce3b85b56428598dd0cac2b3fd713f3","sha256:a2ddab5b01207a0658fd550377d9c1a7c37cf92ce7723ec635a66fdc35bbfa35"],"state_sha256":"0507024b68a7509b4dc67f4483266c541c9a25a1746f2ac25046817824ef1dc2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FEibNcsaSSAXjnAaJ96fv+96j9Xk8h11Bk5WbWMJ4jt5R2JBYGB/5ZcgkGwWZkW9rg9BW7DlathI32y6jC/6Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T16:16:23.379028Z","bundle_sha256":"f60d2bea478d01f2707ceccd3a7405271462fd003a41396db82984642c53b1ef"}}