{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PP7NIQPS3YRFWCZUIWUKTYZE56","short_pith_number":"pith:PP7NIQPS","canonical_record":{"source":{"id":"2412.13809","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T12:57:49Z","cross_cats_sorted":[],"title_canon_sha256":"c6347cb244dad23e9eccc1f81596e62c10789f7f8bb769125b1d399f71c14dc1","abstract_canon_sha256":"22799061c256bd4f3e691d86f36dc517992decec90de0c9ed71ca3ad81251e0a"},"schema_version":"1.0"},"canonical_sha256":"7bfed441f2de225b0b3445a8a9e324ef86a39e754f7e871a0e741be7bf9fe726","source":{"kind":"arxiv","id":"2412.13809","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13809","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13809v1","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13809","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"PP7NIQPS3YRF","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"PP7NIQPS3YRFWCZU","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"PP7NIQPS","created_at":"2026-07-05T09:51:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PP7NIQPS3YRFWCZUIWUKTYZE56","target":"record","payload":{"canonical_record":{"source":{"id":"2412.13809","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T12:57:49Z","cross_cats_sorted":[],"title_canon_sha256":"c6347cb244dad23e9eccc1f81596e62c10789f7f8bb769125b1d399f71c14dc1","abstract_canon_sha256":"22799061c256bd4f3e691d86f36dc517992decec90de0c9ed71ca3ad81251e0a"},"schema_version":"1.0"},"canonical_sha256":"7bfed441f2de225b0b3445a8a9e324ef86a39e754f7e871a0e741be7bf9fe726","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:09.145241Z","signature_b64":"SW18CASL4bpyUWju/H+VPTmTk6/2QjisigSlG9XOPcryY9+x7zwpbDauG/VNOeZb/z/95VU5EQyDS0XanbljDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7bfed441f2de225b0b3445a8a9e324ef86a39e754f7e871a0e741be7bf9fe726","last_reissued_at":"2026-07-05T09:51:09.144715Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:09.144715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.13809","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":"2026-07-05T09:51:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"685sKOeyFKQJ/6WKP8u88mj9Y1OCTDJnpwq6Owq9No31s9Eydc1yi0ioKAAEyBoYJcubZ5a19lTmYcLyIyJhCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:23:20.064400Z"},"content_sha256":"820ebab7140bbc95f7f93c8028022f00abb58c976fcc6752a12ba75bfff22652","schema_version":"1.0","event_id":"sha256:820ebab7140bbc95f7f93c8028022f00abb58c976fcc6752a12ba75bfff22652"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PP7NIQPS3YRFWCZUIWUKTYZE56","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Christophe Broillet, Julien Audiffren, Ljiljana Dolamic, Philippe Cudr\\'e-Mauroux","submitted_at":"2024-12-18T12:57:49Z","abstract_excerpt":"In Extreme Multi Label Completion (XMLCo), the objective is to predict the missing labels of a collection of documents. Together with XML Classification, XMLCo is arguably one of the most challenging document classification tasks, as the very high number of labels (at least ten of thousands) is generally very large compared to the number of available labelled documents in the training dataset. Such a task is often accompanied by a taxonomy that encodes the labels organic relationships, and many methods have been proposed to leverage this hierarchy to improve the results of XMLCo algorithms. In"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13809","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/2412.13809/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":"2026-07-05T09:51:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gnenumFJ/vsjPl4hKTZVsWKcRO7E/S8/79Kk9J2jgXTXqL1eDLQj+0MlC7nQyY4O7pUOZ4jSjh1Gpw85NS9SBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:23:20.064930Z"},"content_sha256":"a18f120d5af60636c30ad3c5e71183352020140cfaf6dde1456698b3bf0c260b","schema_version":"1.0","event_id":"sha256:a18f120d5af60636c30ad3c5e71183352020140cfaf6dde1456698b3bf0c260b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PP7NIQPS3YRFWCZUIWUKTYZE56/bundle.json","state_url":"https://pith.science/pith/PP7NIQPS3YRFWCZUIWUKTYZE56/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PP7NIQPS3YRFWCZUIWUKTYZE56/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":"2026-08-12T18:23:20Z","links":{"resolver":"https://pith.science/pith/PP7NIQPS3YRFWCZUIWUKTYZE56","bundle":"https://pith.science/pith/PP7NIQPS3YRFWCZUIWUKTYZE56/bundle.json","state":"https://pith.science/pith/PP7NIQPS3YRFWCZUIWUKTYZE56/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PP7NIQPS3YRFWCZUIWUKTYZE56/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PP7NIQPS3YRFWCZUIWUKTYZE56","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":"22799061c256bd4f3e691d86f36dc517992decec90de0c9ed71ca3ad81251e0a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T12:57:49Z","title_canon_sha256":"c6347cb244dad23e9eccc1f81596e62c10789f7f8bb769125b1d399f71c14dc1"},"schema_version":"1.0","source":{"id":"2412.13809","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13809","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13809v1","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13809","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_12","alias_value":"PP7NIQPS3YRF","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_16","alias_value":"PP7NIQPS3YRFWCZU","created_at":"2026-07-05T09:51:09Z"},{"alias_kind":"pith_short_8","alias_value":"PP7NIQPS","created_at":"2026-07-05T09:51:09Z"}],"graph_snapshots":[{"event_id":"sha256:a18f120d5af60636c30ad3c5e71183352020140cfaf6dde1456698b3bf0c260b","target":"graph","created_at":"2026-07-05T09:51:09Z","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/2412.13809/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In Extreme Multi Label Completion (XMLCo), the objective is to predict the missing labels of a collection of documents. Together with XML Classification, XMLCo is arguably one of the most challenging document classification tasks, as the very high number of labels (at least ten of thousands) is generally very large compared to the number of available labelled documents in the training dataset. Such a task is often accompanied by a taxonomy that encodes the labels organic relationships, and many methods have been proposed to leverage this hierarchy to improve the results of XMLCo algorithms. In","authors_text":"Christophe Broillet, Julien Audiffren, Ljiljana Dolamic, Philippe Cudr\\'e-Mauroux","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T12:57:49Z","title":"Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13809","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":"sha256:820ebab7140bbc95f7f93c8028022f00abb58c976fcc6752a12ba75bfff22652","target":"record","created_at":"2026-07-05T09:51:09Z","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":"22799061c256bd4f3e691d86f36dc517992decec90de0c9ed71ca3ad81251e0a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T12:57:49Z","title_canon_sha256":"c6347cb244dad23e9eccc1f81596e62c10789f7f8bb769125b1d399f71c14dc1"},"schema_version":"1.0","source":{"id":"2412.13809","kind":"arxiv","version":1}},"canonical_sha256":"7bfed441f2de225b0b3445a8a9e324ef86a39e754f7e871a0e741be7bf9fe726","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7bfed441f2de225b0b3445a8a9e324ef86a39e754f7e871a0e741be7bf9fe726","first_computed_at":"2026-07-05T09:51:09.144715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:09.144715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SW18CASL4bpyUWju/H+VPTmTk6/2QjisigSlG9XOPcryY9+x7zwpbDauG/VNOeZb/z/95VU5EQyDS0XanbljDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:09.145241Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13809","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:820ebab7140bbc95f7f93c8028022f00abb58c976fcc6752a12ba75bfff22652","sha256:a18f120d5af60636c30ad3c5e71183352020140cfaf6dde1456698b3bf0c260b"],"state_sha256":"4f1e9b66e6294db093a778bd860032dd4d530c0fcb2ced0080e3083f0e4bcda2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mNqbnsqaaofRvoQGe3GngD7AdDiu2pJ/kUwTqDDi+NB11uq3/hPu/GZlAFcy+EuIeeSlHrceyohPmKrPLLT8Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T18:23:20.071108Z","bundle_sha256":"52fcfcc14a3e70139b7103444912d4c2b45196f6e25fd63a7d489b485c70ccb0"}}