{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:2XPDYKCX5WTOJZN5WZHFPFJT2Z","short_pith_number":"pith:2XPDYKCX","canonical_record":{"source":{"id":"2204.05819","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-30T18:30:42Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f78a69621a23a1a80417969d1c9c3cb34e47faad724401732eeea8bccd64c6c8","abstract_canon_sha256":"1374787fd37b0d1485d66fc535003417539cc8f0b33239655feaf30fa44a4fe1"},"schema_version":"1.0"},"canonical_sha256":"d5de3c2857eda6e4e5bdb64e579533d64dd0a06243742a578441159113227060","source":{"kind":"arxiv","id":"2204.05819","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.05819","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"arxiv_version","alias_value":"2204.05819v1","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.05819","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"pith_short_12","alias_value":"2XPDYKCX5WTO","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"pith_short_16","alias_value":"2XPDYKCX5WTOJZN5","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"pith_short_8","alias_value":"2XPDYKCX","created_at":"2026-07-05T04:14:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:2XPDYKCX5WTOJZN5WZHFPFJT2Z","target":"record","payload":{"canonical_record":{"source":{"id":"2204.05819","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-30T18:30:42Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f78a69621a23a1a80417969d1c9c3cb34e47faad724401732eeea8bccd64c6c8","abstract_canon_sha256":"1374787fd37b0d1485d66fc535003417539cc8f0b33239655feaf30fa44a4fe1"},"schema_version":"1.0"},"canonical_sha256":"d5de3c2857eda6e4e5bdb64e579533d64dd0a06243742a578441159113227060","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:14:02.684678Z","signature_b64":"ZYlI94ZkxmyWmeHrWn068SpTCy/aIB3OpTNJtXMS6W4Zbe3AbSu2amC/6/heeZc8ezrjomOZTxZFiJ+59wdBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5de3c2857eda6e4e5bdb64e579533d64dd0a06243742a578441159113227060","last_reissued_at":"2026-07-05T04:14:02.684276Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:14:02.684276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.05819","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":"2026-07-05T04:14:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FB7RE8R0ahhDcDR5/+aL6GmHbQIu7WrpNlxtv7Q4nor7DyWMBf2YmYhPz7W4YLEpOA0lcQOa61ztIlr9DY1XDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:10:37.523575Z"},"content_sha256":"5c10625fd8a896c64111af2117883010173d5ce8b9eed2375f1ad155636daa45","schema_version":"1.0","event_id":"sha256:5c10625fd8a896c64111af2117883010173d5ce8b9eed2375f1ad155636daa45"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:2XPDYKCX5WTOJZN5WZHFPFJT2Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.CL","authors_text":"Jingbo Shang, Zilong Wang","submitted_at":"2022-03-30T18:30:42Z","abstract_excerpt":"Entity recognition is a fundamental task in understanding document images. Traditional sequence labeling frameworks treat the entity types as class IDs and rely on extensive data and high-quality annotations to learn semantics which are typically expensive in practice. In this paper, we aim to build an entity recognition model requiring only a few shots of annotated document images. To overcome the data limitation, we propose to leverage the label surface names to better inform the model of the target entity type semantics and also embed the labels into the spatial embedding space to capture t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.05819","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/2204.05819/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":"2026-07-05T04:14:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hh5cK//10cNzI3fvRjJJwufczR7oXFtyCdc7NnAaabElapsiq4zZg0tYZpxa9IhKU2AgSXY60a2x6kaIIBGUBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:10:37.524097Z"},"content_sha256":"b158de3fc88f6b0765f9bcca30e7867def74bf1bf3ad7dddbcdc9ea5df79d254","schema_version":"1.0","event_id":"sha256:b158de3fc88f6b0765f9bcca30e7867def74bf1bf3ad7dddbcdc9ea5df79d254"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2XPDYKCX5WTOJZN5WZHFPFJT2Z/bundle.json","state_url":"https://pith.science/pith/2XPDYKCX5WTOJZN5WZHFPFJT2Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2XPDYKCX5WTOJZN5WZHFPFJT2Z/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":"2026-08-05T11:10:37Z","links":{"resolver":"https://pith.science/pith/2XPDYKCX5WTOJZN5WZHFPFJT2Z","bundle":"https://pith.science/pith/2XPDYKCX5WTOJZN5WZHFPFJT2Z/bundle.json","state":"https://pith.science/pith/2XPDYKCX5WTOJZN5WZHFPFJT2Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2XPDYKCX5WTOJZN5WZHFPFJT2Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2XPDYKCX5WTOJZN5WZHFPFJT2Z","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":"1374787fd37b0d1485d66fc535003417539cc8f0b33239655feaf30fa44a4fe1","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-30T18:30:42Z","title_canon_sha256":"f78a69621a23a1a80417969d1c9c3cb34e47faad724401732eeea8bccd64c6c8"},"schema_version":"1.0","source":{"id":"2204.05819","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.05819","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"arxiv_version","alias_value":"2204.05819v1","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.05819","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"pith_short_12","alias_value":"2XPDYKCX5WTO","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"pith_short_16","alias_value":"2XPDYKCX5WTOJZN5","created_at":"2026-07-05T04:14:02Z"},{"alias_kind":"pith_short_8","alias_value":"2XPDYKCX","created_at":"2026-07-05T04:14:02Z"}],"graph_snapshots":[{"event_id":"sha256:b158de3fc88f6b0765f9bcca30e7867def74bf1bf3ad7dddbcdc9ea5df79d254","target":"graph","created_at":"2026-07-05T04:14:02Z","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/2204.05819/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Entity recognition is a fundamental task in understanding document images. Traditional sequence labeling frameworks treat the entity types as class IDs and rely on extensive data and high-quality annotations to learn semantics which are typically expensive in practice. In this paper, we aim to build an entity recognition model requiring only a few shots of annotated document images. To overcome the data limitation, we propose to leverage the label surface names to better inform the model of the target entity type semantics and also embed the labels into the spatial embedding space to capture t","authors_text":"Jingbo Shang, Zilong Wang","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-30T18:30:42Z","title":"Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.05819","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":"sha256:5c10625fd8a896c64111af2117883010173d5ce8b9eed2375f1ad155636daa45","target":"record","created_at":"2026-07-05T04:14:02Z","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":"1374787fd37b0d1485d66fc535003417539cc8f0b33239655feaf30fa44a4fe1","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-30T18:30:42Z","title_canon_sha256":"f78a69621a23a1a80417969d1c9c3cb34e47faad724401732eeea8bccd64c6c8"},"schema_version":"1.0","source":{"id":"2204.05819","kind":"arxiv","version":1}},"canonical_sha256":"d5de3c2857eda6e4e5bdb64e579533d64dd0a06243742a578441159113227060","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5de3c2857eda6e4e5bdb64e579533d64dd0a06243742a578441159113227060","first_computed_at":"2026-07-05T04:14:02.684276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:14:02.684276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZYlI94ZkxmyWmeHrWn068SpTCy/aIB3OpTNJtXMS6W4Zbe3AbSu2amC/6/heeZc8ezrjomOZTxZFiJ+59wdBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:14:02.684678Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.05819","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c10625fd8a896c64111af2117883010173d5ce8b9eed2375f1ad155636daa45","sha256:b158de3fc88f6b0765f9bcca30e7867def74bf1bf3ad7dddbcdc9ea5df79d254"],"state_sha256":"93cc5f718f970ae4eee40b84b6b5be9c0fb72e7e77405f5d16f23e4177676cb4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hNB1EduDGk80A7wkb+W7mrCsOeRE1nHxL8x+rDB4Wz8TINFOqEki7u1+kcu6OqbqneecW9Sjh9Rem32572dYDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:10:37.528858Z","bundle_sha256":"0645271d1c49da5244c3a4cf4332a38e8061c5f59e7c3a67a185a1981b40f4ba"}}