{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:C6PLWDMFJ2JXNXCSJC5OBPT3HX","short_pith_number":"pith:C6PLWDMF","canonical_record":{"source":{"id":"1512.06110","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-18T20:48:26Z","cross_cats_sorted":[],"title_canon_sha256":"1e8ae5351ca533d4365def53d5a89af8678dae39674760272588a145a35dd726","abstract_canon_sha256":"3b9f4d0eb9cea626990fed42ba713542af7a0d6366b2682eb6d30ec3fde5e466"},"schema_version":"1.0"},"canonical_sha256":"179ebb0d854e9376dc5248bae0be7b3def8413c59dd9215fddaf7a8b00e1c12e","source":{"kind":"arxiv","id":"1512.06110","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.06110","created_at":"2026-05-18T01:18:38Z"},{"alias_kind":"arxiv_version","alias_value":"1512.06110v3","created_at":"2026-05-18T01:18:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.06110","created_at":"2026-05-18T01:18:38Z"},{"alias_kind":"pith_short_12","alias_value":"C6PLWDMFJ2JX","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_16","alias_value":"C6PLWDMFJ2JXNXCS","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_8","alias_value":"C6PLWDMF","created_at":"2026-05-18T12:29:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:C6PLWDMFJ2JXNXCSJC5OBPT3HX","target":"record","payload":{"canonical_record":{"source":{"id":"1512.06110","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-18T20:48:26Z","cross_cats_sorted":[],"title_canon_sha256":"1e8ae5351ca533d4365def53d5a89af8678dae39674760272588a145a35dd726","abstract_canon_sha256":"3b9f4d0eb9cea626990fed42ba713542af7a0d6366b2682eb6d30ec3fde5e466"},"schema_version":"1.0"},"canonical_sha256":"179ebb0d854e9376dc5248bae0be7b3def8413c59dd9215fddaf7a8b00e1c12e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:38.989597Z","signature_b64":"YVRQl3TkQ6d1N12HmPWhkqNGTJDzkfuZs3YiD5SQFMlcTJIh/96/jL2vDPhoTssim0mctKzzkubpYbpz4w86Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"179ebb0d854e9376dc5248bae0be7b3def8413c59dd9215fddaf7a8b00e1c12e","last_reissued_at":"2026-05-18T01:18:38.988884Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:38.988884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.06110","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:18:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YA4i991/0AKM8yM91WNIdoXtR+Hsgp1plsa0Rh1qLvjkJcq6Rb90wF+HldP5MxqhFenaw0upT0bethaeqtk4Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:03:38.996053Z"},"content_sha256":"71ad089acb74f99a25e99531e028651cbe7bb376a4ef21cfe82f950c0a012538","schema_version":"1.0","event_id":"sha256:71ad089acb74f99a25e99531e028651cbe7bb376a4ef21cfe82f950c0a012538"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:C6PLWDMFJ2JXNXCSJC5OBPT3HX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Morphological Inflection Generation Using Character Sequence to Sequence Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chris Dyer, Graham Neubig, Manaal Faruqui, Yulia Tsvetkov","submitted_at":"2015-12-18T20:48:26Z","abstract_excerpt":"Morphological inflection generation is the task of generating the inflected form of a given lemma corresponding to a particular linguistic transformation. We model the problem of inflection generation as a character sequence to sequence learning problem and present a variant of the neural encoder-decoder model for solving it. Our model is language independent and can be trained in both supervised and semi-supervised settings. We evaluate our system on seven datasets of morphologically rich languages and achieve either better or comparable results to existing state-of-the-art models of inflecti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.06110","kind":"arxiv","version":3},"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":"2026-05-18T01:18:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BNB3p1qL7qfjdUN8y750aQdYmcnwf73vyxsMrQ17GqWZkLIhvf1CMVe/PFZ3rxk59NCh+XqxXb3UHrpN4hQpCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:03:38.996778Z"},"content_sha256":"cc0fe19bf1c11c057630d9d1ee83ae4fd5a360ddd79e52eb63a376a679a62a16","schema_version":"1.0","event_id":"sha256:cc0fe19bf1c11c057630d9d1ee83ae4fd5a360ddd79e52eb63a376a679a62a16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C6PLWDMFJ2JXNXCSJC5OBPT3HX/bundle.json","state_url":"https://pith.science/pith/C6PLWDMFJ2JXNXCSJC5OBPT3HX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C6PLWDMFJ2JXNXCSJC5OBPT3HX/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":"2026-06-04T06:03:38Z","links":{"resolver":"https://pith.science/pith/C6PLWDMFJ2JXNXCSJC5OBPT3HX","bundle":"https://pith.science/pith/C6PLWDMFJ2JXNXCSJC5OBPT3HX/bundle.json","state":"https://pith.science/pith/C6PLWDMFJ2JXNXCSJC5OBPT3HX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C6PLWDMFJ2JXNXCSJC5OBPT3HX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:C6PLWDMFJ2JXNXCSJC5OBPT3HX","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":"3b9f4d0eb9cea626990fed42ba713542af7a0d6366b2682eb6d30ec3fde5e466","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-18T20:48:26Z","title_canon_sha256":"1e8ae5351ca533d4365def53d5a89af8678dae39674760272588a145a35dd726"},"schema_version":"1.0","source":{"id":"1512.06110","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.06110","created_at":"2026-05-18T01:18:38Z"},{"alias_kind":"arxiv_version","alias_value":"1512.06110v3","created_at":"2026-05-18T01:18:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.06110","created_at":"2026-05-18T01:18:38Z"},{"alias_kind":"pith_short_12","alias_value":"C6PLWDMFJ2JX","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_16","alias_value":"C6PLWDMFJ2JXNXCS","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_8","alias_value":"C6PLWDMF","created_at":"2026-05-18T12:29:14Z"}],"graph_snapshots":[{"event_id":"sha256:cc0fe19bf1c11c057630d9d1ee83ae4fd5a360ddd79e52eb63a376a679a62a16","target":"graph","created_at":"2026-05-18T01:18:38Z","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":"Morphological inflection generation is the task of generating the inflected form of a given lemma corresponding to a particular linguistic transformation. We model the problem of inflection generation as a character sequence to sequence learning problem and present a variant of the neural encoder-decoder model for solving it. Our model is language independent and can be trained in both supervised and semi-supervised settings. We evaluate our system on seven datasets of morphologically rich languages and achieve either better or comparable results to existing state-of-the-art models of inflecti","authors_text":"Chris Dyer, Graham Neubig, Manaal Faruqui, Yulia Tsvetkov","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-18T20:48:26Z","title":"Morphological Inflection Generation Using Character Sequence to Sequence Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.06110","kind":"arxiv","version":3},"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":"sha256:71ad089acb74f99a25e99531e028651cbe7bb376a4ef21cfe82f950c0a012538","target":"record","created_at":"2026-05-18T01:18:38Z","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":"3b9f4d0eb9cea626990fed42ba713542af7a0d6366b2682eb6d30ec3fde5e466","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2015-12-18T20:48:26Z","title_canon_sha256":"1e8ae5351ca533d4365def53d5a89af8678dae39674760272588a145a35dd726"},"schema_version":"1.0","source":{"id":"1512.06110","kind":"arxiv","version":3}},"canonical_sha256":"179ebb0d854e9376dc5248bae0be7b3def8413c59dd9215fddaf7a8b00e1c12e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"179ebb0d854e9376dc5248bae0be7b3def8413c59dd9215fddaf7a8b00e1c12e","first_computed_at":"2026-05-18T01:18:38.988884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:38.988884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YVRQl3TkQ6d1N12HmPWhkqNGTJDzkfuZs3YiD5SQFMlcTJIh/96/jL2vDPhoTssim0mctKzzkubpYbpz4w86Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:38.989597Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.06110","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71ad089acb74f99a25e99531e028651cbe7bb376a4ef21cfe82f950c0a012538","sha256:cc0fe19bf1c11c057630d9d1ee83ae4fd5a360ddd79e52eb63a376a679a62a16"],"state_sha256":"5ee45b85a9ea3e862c35bcc983e9f8d16808101742ca6c15f86983abbc8bbe09"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6iYDiW5/XgsrnD8HCZIhwEYi23aR/8IKosz300F8bVPEprEFJ9BV7nEEBzkgXbmxh9shOOf/ui94mQimUfjPAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T06:03:38.999889Z","bundle_sha256":"9d0f78426385763384f60d74e6093bde81554fd0a71fddf09c33b7b5c3b92ae2"}}