{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AA7HS6E4H24HJWNPHZ546LBQWF","short_pith_number":"pith:AA7HS6E4","canonical_record":{"source":{"id":"2202.03772","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2022-02-08T10:36:29Z","cross_cats_sorted":["cs.LG","hep-ex","physics.data-an"],"title_canon_sha256":"72a9019c40e34ba9726d8e5e8cd4feb2879623feb246aa4b00cc461d28c8482c","abstract_canon_sha256":"cf68019d94dd66694f6da03b3e7d6bcc77b5c8d4cb91723f8d517c1503f1cc0b"},"schema_version":"1.0"},"canonical_sha256":"003e79789c3eb874d9af3e7bcf2c30b17e0c3e26c1c790e1bfd194f5ea3a8a69","source":{"kind":"arxiv","id":"2202.03772","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03772","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03772v3","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03772","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"pith_short_12","alias_value":"AA7HS6E4H24H","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"pith_short_16","alias_value":"AA7HS6E4H24HJWNP","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"pith_short_8","alias_value":"AA7HS6E4","created_at":"2026-07-05T07:38:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AA7HS6E4H24HJWNPHZ546LBQWF","target":"record","payload":{"canonical_record":{"source":{"id":"2202.03772","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2022-02-08T10:36:29Z","cross_cats_sorted":["cs.LG","hep-ex","physics.data-an"],"title_canon_sha256":"72a9019c40e34ba9726d8e5e8cd4feb2879623feb246aa4b00cc461d28c8482c","abstract_canon_sha256":"cf68019d94dd66694f6da03b3e7d6bcc77b5c8d4cb91723f8d517c1503f1cc0b"},"schema_version":"1.0"},"canonical_sha256":"003e79789c3eb874d9af3e7bcf2c30b17e0c3e26c1c790e1bfd194f5ea3a8a69","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:38:23.736259Z","signature_b64":"jLESkembj67HrQuRAMlUwvlpfxRQ/msWJ+HUs3W0urVNfnrMuQfx7NFN4I84UP/2yFTuLouhymWAZnqjE/jxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"003e79789c3eb874d9af3e7bcf2c30b17e0c3e26c1c790e1bfd194f5ea3a8a69","last_reissued_at":"2026-07-05T07:38:23.735678Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:38:23.735678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.03772","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":"2026-07-05T07:38:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P0Vk349ft2Po3H7qKAxWdnkjf0vL7gcEZK3Tgan3siimsKZpX6zcManTypsAQHeq7pEaZTaJ05LU2D4IvZe0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T03:29:57.199290Z"},"content_sha256":"aeb82c5765d64bfb4633e0daf8e2a7307bfc263004e413adb1d9580084b6e3cd","schema_version":"1.0","event_id":"sha256:aeb82c5765d64bfb4633e0daf8e2a7307bfc263004e413adb1d9580084b6e3cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AA7HS6E4H24HJWNPHZ546LBQWF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Particle Transformer for Jet Tagging","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","hep-ex","physics.data-an"],"primary_cat":"hep-ph","authors_text":"Congqiao Li, Huilin Qu, Sitian Qian","submitted_at":"2022-02-08T10:36:29Z","abstract_excerpt":"Jet tagging is a critical yet challenging classification task in particle physics. While deep learning has transformed jet tagging and significantly improved performance, the lack of a large-scale public dataset impedes further enhancement. In this work, we present JetClass, a new comprehensive dataset for jet tagging. The JetClass dataset consists of 100 M jets, about two orders of magnitude larger than existing public datasets. A total of 10 types of jets are simulated, including several types unexplored for tagging so far. Based on the large dataset, we propose a new Transformer-based archi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03772","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.03772/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":"2026-07-05T07:38:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pYmSVGRf+312DhaYW11/qHegnEMQMmu3UVGqz3cKUqZTPWxZXzIQv6NzF2bvHJmSjuUvudzZGvAhHUT2KA/1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T03:29:57.199666Z"},"content_sha256":"08ad11b2ee00ada74f507e07e0e9bb59bb3f11eff4964c5b1369fa9154bbc2ad","schema_version":"1.0","event_id":"sha256:08ad11b2ee00ada74f507e07e0e9bb59bb3f11eff4964c5b1369fa9154bbc2ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AA7HS6E4H24HJWNPHZ546LBQWF/bundle.json","state_url":"https://pith.science/pith/AA7HS6E4H24HJWNPHZ546LBQWF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AA7HS6E4H24HJWNPHZ546LBQWF/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":"2026-07-18T03:29:57Z","links":{"resolver":"https://pith.science/pith/AA7HS6E4H24HJWNPHZ546LBQWF","bundle":"https://pith.science/pith/AA7HS6E4H24HJWNPHZ546LBQWF/bundle.json","state":"https://pith.science/pith/AA7HS6E4H24HJWNPHZ546LBQWF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AA7HS6E4H24HJWNPHZ546LBQWF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AA7HS6E4H24HJWNPHZ546LBQWF","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":"cf68019d94dd66694f6da03b3e7d6bcc77b5c8d4cb91723f8d517c1503f1cc0b","cross_cats_sorted":["cs.LG","hep-ex","physics.data-an"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2022-02-08T10:36:29Z","title_canon_sha256":"72a9019c40e34ba9726d8e5e8cd4feb2879623feb246aa4b00cc461d28c8482c"},"schema_version":"1.0","source":{"id":"2202.03772","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03772","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03772v3","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03772","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"pith_short_12","alias_value":"AA7HS6E4H24H","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"pith_short_16","alias_value":"AA7HS6E4H24HJWNP","created_at":"2026-07-05T07:38:23Z"},{"alias_kind":"pith_short_8","alias_value":"AA7HS6E4","created_at":"2026-07-05T07:38:23Z"}],"graph_snapshots":[{"event_id":"sha256:08ad11b2ee00ada74f507e07e0e9bb59bb3f11eff4964c5b1369fa9154bbc2ad","target":"graph","created_at":"2026-07-05T07:38:23Z","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/2202.03772/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Jet tagging is a critical yet challenging classification task in particle physics. While deep learning has transformed jet tagging and significantly improved performance, the lack of a large-scale public dataset impedes further enhancement. In this work, we present JetClass, a new comprehensive dataset for jet tagging. The JetClass dataset consists of 100 M jets, about two orders of magnitude larger than existing public datasets. A total of 10 types of jets are simulated, including several types unexplored for tagging so far. Based on the large dataset, we propose a new Transformer-based archi","authors_text":"Congqiao Li, Huilin Qu, Sitian Qian","cross_cats":["cs.LG","hep-ex","physics.data-an"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2022-02-08T10:36:29Z","title":"Particle Transformer for Jet Tagging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03772","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:aeb82c5765d64bfb4633e0daf8e2a7307bfc263004e413adb1d9580084b6e3cd","target":"record","created_at":"2026-07-05T07:38:23Z","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":"cf68019d94dd66694f6da03b3e7d6bcc77b5c8d4cb91723f8d517c1503f1cc0b","cross_cats_sorted":["cs.LG","hep-ex","physics.data-an"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2022-02-08T10:36:29Z","title_canon_sha256":"72a9019c40e34ba9726d8e5e8cd4feb2879623feb246aa4b00cc461d28c8482c"},"schema_version":"1.0","source":{"id":"2202.03772","kind":"arxiv","version":3}},"canonical_sha256":"003e79789c3eb874d9af3e7bcf2c30b17e0c3e26c1c790e1bfd194f5ea3a8a69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"003e79789c3eb874d9af3e7bcf2c30b17e0c3e26c1c790e1bfd194f5ea3a8a69","first_computed_at":"2026-07-05T07:38:23.735678Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:38:23.735678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jLESkembj67HrQuRAMlUwvlpfxRQ/msWJ+HUs3W0urVNfnrMuQfx7NFN4I84UP/2yFTuLouhymWAZnqjE/jxAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:38:23.736259Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.03772","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aeb82c5765d64bfb4633e0daf8e2a7307bfc263004e413adb1d9580084b6e3cd","sha256:08ad11b2ee00ada74f507e07e0e9bb59bb3f11eff4964c5b1369fa9154bbc2ad"],"state_sha256":"5a4c58a79d7e1c10e6ff431c993da1e7f698e68f9178baafce633ed90e457ea8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zF/twx7vDw7YXV6YYOmBLzuk5sEl1pBxnMVoRMywie2rtrLjIyEgrHgEJsqSJGD0l0k/C9UDas5juEnu86fUBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T03:29:57.202093Z","bundle_sha256":"8b6ee76890e13ae0a7d5f5400913c2c59abfae77675eb26e3d2f819ddeab0f5f"}}