{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NYFVOCRZPUDZNQZ3EROGPRWXNL","short_pith_number":"pith:NYFVOCRZ","canonical_record":{"source":{"id":"1702.00523","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-02T01:56:22Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"b7969c68bc4b9c35d258672838ada7f88d6ddd709b71f2a883932d4c9e5f5d48","abstract_canon_sha256":"75060fa2ef9a18160ade234117ee513902d65e4f4dfa1ee30cbdd38dfa5caa46"},"schema_version":"1.0"},"canonical_sha256":"6e0b570a397d0796c33b245c67c6d76ac1d5f7d94bddf28e644559e10bec2433","source":{"kind":"arxiv","id":"1702.00523","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.00523","created_at":"2026-05-18T00:51:33Z"},{"alias_kind":"arxiv_version","alias_value":"1702.00523v1","created_at":"2026-05-18T00:51:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.00523","created_at":"2026-05-18T00:51:33Z"},{"alias_kind":"pith_short_12","alias_value":"NYFVOCRZPUDZ","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NYFVOCRZPUDZNQZ3","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NYFVOCRZ","created_at":"2026-05-18T12:31:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NYFVOCRZPUDZNQZ3EROGPRWXNL","target":"record","payload":{"canonical_record":{"source":{"id":"1702.00523","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-02T01:56:22Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"b7969c68bc4b9c35d258672838ada7f88d6ddd709b71f2a883932d4c9e5f5d48","abstract_canon_sha256":"75060fa2ef9a18160ade234117ee513902d65e4f4dfa1ee30cbdd38dfa5caa46"},"schema_version":"1.0"},"canonical_sha256":"6e0b570a397d0796c33b245c67c6d76ac1d5f7d94bddf28e644559e10bec2433","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:33.369832Z","signature_b64":"p7XekyTk1Y1Z8aZBZ8vQO5Vrmbvs2c74QMQypKpMwdmn0WfS23/QMy/lO7Oev5WA5ooWfF9wLaEdLzIZmt5FCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e0b570a397d0796c33b245c67c6d76ac1d5f7d94bddf28e644559e10bec2433","last_reissued_at":"2026-05-18T00:51:33.369388Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:33.369388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.00523","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":"2026-05-18T00:51:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xLmcizPPF44By8wADFKpJECdtqFIaDo5K2ktYSWLChovM8RignQeTQsco5ed7ub8uEzGakHlgZTm9TaHi+I+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:10:07.313443Z"},"content_sha256":"6abc4d6c5242dad4b012d9d2b5d73180303a2bcd41a233420b32705a19d1f5b8","schema_version":"1.0","event_id":"sha256:6abc4d6c5242dad4b012d9d2b5d73180303a2bcd41a233420b32705a19d1f5b8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NYFVOCRZPUDZNQZ3EROGPRWXNL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning the Indus Script","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.CV","authors_text":"Ronojoy Adhikari, Satish Palaniappan","submitted_at":"2017-02-02T01:56:22Z","abstract_excerpt":"Standardized corpora of undeciphered scripts, a necessary starting point for computational epigraphy, requires laborious human effort for their preparation from raw archaeological records. Automating this process through machine learning algorithms can be of significant aid to epigraphical research. Here, we take the first steps in this direction and present a deep learning pipeline that takes as input images of the undeciphered Indus script, as found in archaeological artifacts, and returns as output a string of graphemes, suitable for inclusion in a standard corpus. The image is first decomp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.00523","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":""},"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":"2026-05-18T00:51:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RF4qk0OeN4lPxEybaKxL1beg+Qhrzy1sUE3TK5S1b8KXi5ccvhJJ1UMlXwQjMQFhMHxfSy3tFAhqRFfixmFhDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:10:07.314168Z"},"content_sha256":"51dabbe378bcb15bea535e251c474d581a151640768cb8c21e2a13c7e11c7f2a","schema_version":"1.0","event_id":"sha256:51dabbe378bcb15bea535e251c474d581a151640768cb8c21e2a13c7e11c7f2a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NYFVOCRZPUDZNQZ3EROGPRWXNL/bundle.json","state_url":"https://pith.science/pith/NYFVOCRZPUDZNQZ3EROGPRWXNL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NYFVOCRZPUDZNQZ3EROGPRWXNL/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":"2026-05-26T09:10:07Z","links":{"resolver":"https://pith.science/pith/NYFVOCRZPUDZNQZ3EROGPRWXNL","bundle":"https://pith.science/pith/NYFVOCRZPUDZNQZ3EROGPRWXNL/bundle.json","state":"https://pith.science/pith/NYFVOCRZPUDZNQZ3EROGPRWXNL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NYFVOCRZPUDZNQZ3EROGPRWXNL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NYFVOCRZPUDZNQZ3EROGPRWXNL","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":"75060fa2ef9a18160ade234117ee513902d65e4f4dfa1ee30cbdd38dfa5caa46","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-02T01:56:22Z","title_canon_sha256":"b7969c68bc4b9c35d258672838ada7f88d6ddd709b71f2a883932d4c9e5f5d48"},"schema_version":"1.0","source":{"id":"1702.00523","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.00523","created_at":"2026-05-18T00:51:33Z"},{"alias_kind":"arxiv_version","alias_value":"1702.00523v1","created_at":"2026-05-18T00:51:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.00523","created_at":"2026-05-18T00:51:33Z"},{"alias_kind":"pith_short_12","alias_value":"NYFVOCRZPUDZ","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NYFVOCRZPUDZNQZ3","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NYFVOCRZ","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:51dabbe378bcb15bea535e251c474d581a151640768cb8c21e2a13c7e11c7f2a","target":"graph","created_at":"2026-05-18T00:51:33Z","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"},"paper":{"abstract_excerpt":"Standardized corpora of undeciphered scripts, a necessary starting point for computational epigraphy, requires laborious human effort for their preparation from raw archaeological records. Automating this process through machine learning algorithms can be of significant aid to epigraphical research. Here, we take the first steps in this direction and present a deep learning pipeline that takes as input images of the undeciphered Indus script, as found in archaeological artifacts, and returns as output a string of graphemes, suitable for inclusion in a standard corpus. The image is first decomp","authors_text":"Ronojoy Adhikari, Satish Palaniappan","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-02T01:56:22Z","title":"Deep Learning the Indus Script"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.00523","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":"sha256:6abc4d6c5242dad4b012d9d2b5d73180303a2bcd41a233420b32705a19d1f5b8","target":"record","created_at":"2026-05-18T00:51:33Z","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":"75060fa2ef9a18160ade234117ee513902d65e4f4dfa1ee30cbdd38dfa5caa46","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-02T01:56:22Z","title_canon_sha256":"b7969c68bc4b9c35d258672838ada7f88d6ddd709b71f2a883932d4c9e5f5d48"},"schema_version":"1.0","source":{"id":"1702.00523","kind":"arxiv","version":1}},"canonical_sha256":"6e0b570a397d0796c33b245c67c6d76ac1d5f7d94bddf28e644559e10bec2433","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e0b570a397d0796c33b245c67c6d76ac1d5f7d94bddf28e644559e10bec2433","first_computed_at":"2026-05-18T00:51:33.369388Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:33.369388Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p7XekyTk1Y1Z8aZBZ8vQO5Vrmbvs2c74QMQypKpMwdmn0WfS23/QMy/lO7Oev5WA5ooWfF9wLaEdLzIZmt5FCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:33.369832Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.00523","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6abc4d6c5242dad4b012d9d2b5d73180303a2bcd41a233420b32705a19d1f5b8","sha256:51dabbe378bcb15bea535e251c474d581a151640768cb8c21e2a13c7e11c7f2a"],"state_sha256":"7e677a05ab08efe4bb372ce45c76c0da8e83ca8acb4d50e68e36c589da8c5a36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TeNCYkVsfq9KZJzsyMzPuDplFZYEIuKD2j3f5paTf4Vm7yl6WZnRcIGcso4Rf7t0bwp2+ttpiOrgQRkX5s4hDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T09:10:07.317902Z","bundle_sha256":"070349aba773fed402dedd5c3eec0b67192b48ea52fe58fbe9916fd4cbe10e24"}}