{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:75BKM2SFOOI4ZLUZG3XMWGY2RR","short_pith_number":"pith:75BKM2SF","canonical_record":{"source":{"id":"2211.14443","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:01:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a1a85a0e62c3e1d14637939bbc1e1b5073061caa8de093de887a221e1842a722","abstract_canon_sha256":"2b9452345038974207e0cded6bd18a5f4eab73032880679fc587552f75421fca"},"schema_version":"1.0"},"canonical_sha256":"ff42a66a457391ccae9936eecb1b1a8c5111a153eda0b4eadbef11c0bf83e3e2","source":{"kind":"arxiv","id":"2211.14443","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.14443","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"arxiv_version","alias_value":"2211.14443v1","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.14443","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"pith_short_12","alias_value":"75BKM2SFOOI4","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"pith_short_16","alias_value":"75BKM2SFOOI4ZLUZ","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"pith_short_8","alias_value":"75BKM2SF","created_at":"2026-07-05T05:19:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:75BKM2SFOOI4ZLUZG3XMWGY2RR","target":"record","payload":{"canonical_record":{"source":{"id":"2211.14443","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:01:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a1a85a0e62c3e1d14637939bbc1e1b5073061caa8de093de887a221e1842a722","abstract_canon_sha256":"2b9452345038974207e0cded6bd18a5f4eab73032880679fc587552f75421fca"},"schema_version":"1.0"},"canonical_sha256":"ff42a66a457391ccae9936eecb1b1a8c5111a153eda0b4eadbef11c0bf83e3e2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:19:39.716335Z","signature_b64":"TqQY2PbaMEF/CK+vSSVb+NPv3Aj4fgjlGCVyz7TDY+7wh11KEWRqnvU6Z8Q1lab1mFq4t5BO0/SaYabRMHf7Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff42a66a457391ccae9936eecb1b1a8c5111a153eda0b4eadbef11c0bf83e3e2","last_reissued_at":"2026-07-05T05:19:39.715923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:19:39.715923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.14443","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":"2026-07-05T05:19:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Og7RgOYY9K5jc1vplc5IMOpzyiErLLwEwsOVqbt9lkOJ4LCNolPP71pErOJJjm8XElhsmfLj2DIc4XcG4y7/DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:12:16.712535Z"},"content_sha256":"4b7ac357f7a9bf606f8c7a0ba96d40a836be02b6302eab28523131cd95a27d50","schema_version":"1.0","event_id":"sha256:4b7ac357f7a9bf606f8c7a0ba96d40a836be02b6302eab28523131cd95a27d50"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:75BKM2SFOOI4ZLUZG3XMWGY2RR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Siamese based Neural Network for Offline Writer Identification on word level data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Suresh Sundaram, Vineet Kumar","submitted_at":"2022-11-17T10:01:46Z","abstract_excerpt":"Handwriting recognition is one of the desirable attributes of document comprehension and analysis. It is concerned with the documents writing style and characteristics that distinguish the authors. The diversity of text images, notably in images with varying handwriting, makes the process of learning good features difficult in cases where little data is available. In this paper, we propose a novel scheme to identify the author of a document based on the input word image. Our method is text independent and does not impose any constraint on the size of the input image under examination. To begin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.14443","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/2211.14443/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":"2026-07-05T05:19:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XSJnlMflZckncf2OU0eI6u2aDWFJixJ1S17rc1Ba9S6EyEBK5/vAS0Sp/OOEE5txckFm13C9Z/zYwQTplc2IAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T16:12:16.713046Z"},"content_sha256":"9c67466d8f2c3f472344c4a8db2d59d79dc376da8b14549aacc5c959a83e02b1","schema_version":"1.0","event_id":"sha256:9c67466d8f2c3f472344c4a8db2d59d79dc376da8b14549aacc5c959a83e02b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/75BKM2SFOOI4ZLUZG3XMWGY2RR/bundle.json","state_url":"https://pith.science/pith/75BKM2SFOOI4ZLUZG3XMWGY2RR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/75BKM2SFOOI4ZLUZG3XMWGY2RR/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":"2026-07-31T16:12:16Z","links":{"resolver":"https://pith.science/pith/75BKM2SFOOI4ZLUZG3XMWGY2RR","bundle":"https://pith.science/pith/75BKM2SFOOI4ZLUZG3XMWGY2RR/bundle.json","state":"https://pith.science/pith/75BKM2SFOOI4ZLUZG3XMWGY2RR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/75BKM2SFOOI4ZLUZG3XMWGY2RR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:75BKM2SFOOI4ZLUZG3XMWGY2RR","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":"2b9452345038974207e0cded6bd18a5f4eab73032880679fc587552f75421fca","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:01:46Z","title_canon_sha256":"a1a85a0e62c3e1d14637939bbc1e1b5073061caa8de093de887a221e1842a722"},"schema_version":"1.0","source":{"id":"2211.14443","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.14443","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"arxiv_version","alias_value":"2211.14443v1","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.14443","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"pith_short_12","alias_value":"75BKM2SFOOI4","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"pith_short_16","alias_value":"75BKM2SFOOI4ZLUZ","created_at":"2026-07-05T05:19:39Z"},{"alias_kind":"pith_short_8","alias_value":"75BKM2SF","created_at":"2026-07-05T05:19:39Z"}],"graph_snapshots":[{"event_id":"sha256:9c67466d8f2c3f472344c4a8db2d59d79dc376da8b14549aacc5c959a83e02b1","target":"graph","created_at":"2026-07-05T05:19:39Z","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/2211.14443/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Handwriting recognition is one of the desirable attributes of document comprehension and analysis. It is concerned with the documents writing style and characteristics that distinguish the authors. The diversity of text images, notably in images with varying handwriting, makes the process of learning good features difficult in cases where little data is available. In this paper, we propose a novel scheme to identify the author of a document based on the input word image. Our method is text independent and does not impose any constraint on the size of the input image under examination. To begin","authors_text":"Suresh Sundaram, Vineet Kumar","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:01:46Z","title":"Siamese based Neural Network for Offline Writer Identification on word level data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.14443","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":"sha256:4b7ac357f7a9bf606f8c7a0ba96d40a836be02b6302eab28523131cd95a27d50","target":"record","created_at":"2026-07-05T05:19:39Z","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":"2b9452345038974207e0cded6bd18a5f4eab73032880679fc587552f75421fca","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-17T10:01:46Z","title_canon_sha256":"a1a85a0e62c3e1d14637939bbc1e1b5073061caa8de093de887a221e1842a722"},"schema_version":"1.0","source":{"id":"2211.14443","kind":"arxiv","version":1}},"canonical_sha256":"ff42a66a457391ccae9936eecb1b1a8c5111a153eda0b4eadbef11c0bf83e3e2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff42a66a457391ccae9936eecb1b1a8c5111a153eda0b4eadbef11c0bf83e3e2","first_computed_at":"2026-07-05T05:19:39.715923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:19:39.715923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TqQY2PbaMEF/CK+vSSVb+NPv3Aj4fgjlGCVyz7TDY+7wh11KEWRqnvU6Z8Q1lab1mFq4t5BO0/SaYabRMHf7Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:19:39.716335Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.14443","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b7ac357f7a9bf606f8c7a0ba96d40a836be02b6302eab28523131cd95a27d50","sha256:9c67466d8f2c3f472344c4a8db2d59d79dc376da8b14549aacc5c959a83e02b1"],"state_sha256":"142a168c649832e6cdb01209b6c7e1e2aee5d3b36938f2f52018a1dfe99df572"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kT1OOS0EmyaKgYuIz5vqMonwJwK7D9XpKeabNDQ/ukV6KshoWlbISulAxz71IhlAsyMJ3qBzAIEgwICxhrMlCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T16:12:16.717588Z","bundle_sha256":"253cdaf220f906f79c71e17642d5200e4f5fb984b5a070a73af788641529eb38"}}