{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:Z3BFJ4HLN5B4NV53HSAGFV6A54","short_pith_number":"pith:Z3BFJ4HL","canonical_record":{"source":{"id":"2305.01837","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-03T00:38:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4346eed4e9e483c3176e78cff59de32297685d33fc100d065a04de4a9a4ef9b9","abstract_canon_sha256":"48dc8f1e420ed6dc8cff3ad11593ec45a3f918bf59ffeb6de81e8c759ac8ed04"},"schema_version":"1.0"},"canonical_sha256":"cec254f0eb6f43c6d7bb3c8062d7c0ef22217a540269aad1f3595b924cba45a2","source":{"kind":"arxiv","id":"2305.01837","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.01837","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"arxiv_version","alias_value":"2305.01837v1","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.01837","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"pith_short_12","alias_value":"Z3BFJ4HLN5B4","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"pith_short_16","alias_value":"Z3BFJ4HLN5B4NV53","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"pith_short_8","alias_value":"Z3BFJ4HL","created_at":"2026-07-05T06:06:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:Z3BFJ4HLN5B4NV53HSAGFV6A54","target":"record","payload":{"canonical_record":{"source":{"id":"2305.01837","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-03T00:38:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4346eed4e9e483c3176e78cff59de32297685d33fc100d065a04de4a9a4ef9b9","abstract_canon_sha256":"48dc8f1e420ed6dc8cff3ad11593ec45a3f918bf59ffeb6de81e8c759ac8ed04"},"schema_version":"1.0"},"canonical_sha256":"cec254f0eb6f43c6d7bb3c8062d7c0ef22217a540269aad1f3595b924cba45a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:06:32.985527Z","signature_b64":"bBFe6pfw0FQkn4c37gOM7IJe2C+dO6gC1Og5A+4Wb79RiyMs/4lTHwbS7bK8IMrkDVuB0+5s/FjfFLSlA1BQBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cec254f0eb6f43c6d7bb3c8062d7c0ef22217a540269aad1f3595b924cba45a2","last_reissued_at":"2026-07-05T06:06:32.985099Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:06:32.985099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.01837","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":"2026-07-05T06:06:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tuudmeZeLMd5Zrp/pqz3SxPY+0Ez4yIiF/DB1oIGmMI0J+vDabXzHygEMarV3jpPhiW/08p1AUYR+Sj58qDfCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:14:20.018865Z"},"content_sha256":"af5f1e369754adfa85a9ed15778622b04d7114b9564e15afc7fecb51afbaaf02","schema_version":"1.0","event_id":"sha256:af5f1e369754adfa85a9ed15778622b04d7114b9564e15afc7fecb51afbaaf02"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:Z3BFJ4HLN5B4NV53HSAGFV6A54","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Aditya Mitkari, David Doermann, Jay Lal, Mahesh Bhosale","submitted_at":"2023-05-03T00:38:24Z","abstract_excerpt":"Data extraction from line-chart images is an essential component of the automated document understanding process, as line charts are a ubiquitous data visualization format. However, the amount of visual and structural variations in multi-line graphs makes them particularly challenging for automated parsing. Existing works, however, are not robust to all these variations, either taking an all-chart unified approach or relying on auxiliary information such as legends for line data extraction. In this work, we propose LineFormer, a robust approach to line data extraction using instance segmentati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.01837","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/2305.01837/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":"2026-07-05T06:06:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"40oBPAWlQk266KaDc93JRq28VY21nMECmVurNRA3gIFIgcEhespjSx7i3xSm/h13jX97o+Dac13afRIhFqhxBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:14:20.019647Z"},"content_sha256":"8561f495ccd66bf2d34c10730e80d2473a8489d0d87adaf1464afaf8f66eac23","schema_version":"1.0","event_id":"sha256:8561f495ccd66bf2d34c10730e80d2473a8489d0d87adaf1464afaf8f66eac23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z3BFJ4HLN5B4NV53HSAGFV6A54/bundle.json","state_url":"https://pith.science/pith/Z3BFJ4HLN5B4NV53HSAGFV6A54/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z3BFJ4HLN5B4NV53HSAGFV6A54/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":"2026-08-09T14:14:20Z","links":{"resolver":"https://pith.science/pith/Z3BFJ4HLN5B4NV53HSAGFV6A54","bundle":"https://pith.science/pith/Z3BFJ4HLN5B4NV53HSAGFV6A54/bundle.json","state":"https://pith.science/pith/Z3BFJ4HLN5B4NV53HSAGFV6A54/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z3BFJ4HLN5B4NV53HSAGFV6A54/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Z3BFJ4HLN5B4NV53HSAGFV6A54","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":"48dc8f1e420ed6dc8cff3ad11593ec45a3f918bf59ffeb6de81e8c759ac8ed04","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-03T00:38:24Z","title_canon_sha256":"4346eed4e9e483c3176e78cff59de32297685d33fc100d065a04de4a9a4ef9b9"},"schema_version":"1.0","source":{"id":"2305.01837","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.01837","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"arxiv_version","alias_value":"2305.01837v1","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.01837","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"pith_short_12","alias_value":"Z3BFJ4HLN5B4","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"pith_short_16","alias_value":"Z3BFJ4HLN5B4NV53","created_at":"2026-07-05T06:06:32Z"},{"alias_kind":"pith_short_8","alias_value":"Z3BFJ4HL","created_at":"2026-07-05T06:06:32Z"}],"graph_snapshots":[{"event_id":"sha256:8561f495ccd66bf2d34c10730e80d2473a8489d0d87adaf1464afaf8f66eac23","target":"graph","created_at":"2026-07-05T06:06:32Z","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/2305.01837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data extraction from line-chart images is an essential component of the automated document understanding process, as line charts are a ubiquitous data visualization format. However, the amount of visual and structural variations in multi-line graphs makes them particularly challenging for automated parsing. Existing works, however, are not robust to all these variations, either taking an all-chart unified approach or relying on auxiliary information such as legends for line data extraction. In this work, we propose LineFormer, a robust approach to line data extraction using instance segmentati","authors_text":"Aditya Mitkari, David Doermann, Jay Lal, Mahesh Bhosale","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-03T00:38:24Z","title":"LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.01837","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:af5f1e369754adfa85a9ed15778622b04d7114b9564e15afc7fecb51afbaaf02","target":"record","created_at":"2026-07-05T06:06:32Z","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":"48dc8f1e420ed6dc8cff3ad11593ec45a3f918bf59ffeb6de81e8c759ac8ed04","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-03T00:38:24Z","title_canon_sha256":"4346eed4e9e483c3176e78cff59de32297685d33fc100d065a04de4a9a4ef9b9"},"schema_version":"1.0","source":{"id":"2305.01837","kind":"arxiv","version":1}},"canonical_sha256":"cec254f0eb6f43c6d7bb3c8062d7c0ef22217a540269aad1f3595b924cba45a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cec254f0eb6f43c6d7bb3c8062d7c0ef22217a540269aad1f3595b924cba45a2","first_computed_at":"2026-07-05T06:06:32.985099Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:06:32.985099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bBFe6pfw0FQkn4c37gOM7IJe2C+dO6gC1Og5A+4Wb79RiyMs/4lTHwbS7bK8IMrkDVuB0+5s/FjfFLSlA1BQBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:06:32.985527Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.01837","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af5f1e369754adfa85a9ed15778622b04d7114b9564e15afc7fecb51afbaaf02","sha256:8561f495ccd66bf2d34c10730e80d2473a8489d0d87adaf1464afaf8f66eac23"],"state_sha256":"6b97acf67362e042df409003c099569f27dd0c0af14d1adbae5ab74b41b05c6b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dkz67eI5wUrOAswlynRw2L33b0GxSjZw40uUBtZ8bjpcj2teyXTlmr1y5fBwNs8x513ypJf2ot6R/+MFzfMQBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T14:14:20.026636Z","bundle_sha256":"0513bdba050055baeba75c9067f731aa8707c211f9a6c1ecaeed34fc3fb6f6c0"}}