{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:FDVSV4M3IWIBJ33EB6YSMWZICS","short_pith_number":"pith:FDVSV4M3","schema_version":"1.0","canonical_sha256":"28eb2af19b459014ef640fb1265b2814a29affddbecd7dbdc50ddf5489ae1870","source":{"kind":"arxiv","id":"2003.07453","version":2},"attestation_state":"computed","paper":{"title":"Predictive power of transverse-momentum-dependent distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","nucl-th"],"primary_cat":"hep-ph","authors_text":"Andrea Signori, Jian-Wei Qiu, Manvir Grewal, Zhong-Bo Kang","submitted_at":"2020-03-16T21:56:08Z","abstract_excerpt":"We investigate the predictive power of transverse-momentum-dependent (TMD) distributions as a function of the light-cone momentum fraction $x$ and the hard scale $Q$ defined by the process. We apply the saddle point approximation to the unpolarized quark and gluon transverse momentum distributions and evaluate the position of the saddle point as a function of the kinematics. We determine quantitatively that the predictive power for an unpolarized transverse momentum distribution is maximal in the large-$Q$ and small-$x$ region. For cross sections the predictive power of the TMD factorization f"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2003.07453","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2020-03-16T21:56:08Z","cross_cats_sorted":["hep-ex","nucl-th"],"title_canon_sha256":"26795394eacda2e55fabc7ab9aaeda5df18dc3e56f088db601dcae9ece1999cd","abstract_canon_sha256":"b7aaffa7790b57fc8e0590e67a5fb07e08a97dbdddb1562f2fa1b26c752ac22e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:15:38.225431Z","signature_b64":"aSqWqPWsgFk+qcbIoFOvWj4PSDAEiC7DDek0KWtXasSTFrZCCIAM4stECHBLVijinJ6KbiJQk0aBxe609EdsCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28eb2af19b459014ef640fb1265b2814a29affddbecd7dbdc50ddf5489ae1870","last_reissued_at":"2026-07-05T01:15:38.224868Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:15:38.224868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Predictive power of transverse-momentum-dependent distributions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex","nucl-th"],"primary_cat":"hep-ph","authors_text":"Andrea Signori, Jian-Wei Qiu, Manvir Grewal, Zhong-Bo Kang","submitted_at":"2020-03-16T21:56:08Z","abstract_excerpt":"We investigate the predictive power of transverse-momentum-dependent (TMD) distributions as a function of the light-cone momentum fraction $x$ and the hard scale $Q$ defined by the process. We apply the saddle point approximation to the unpolarized quark and gluon transverse momentum distributions and evaluate the position of the saddle point as a function of the kinematics. We determine quantitatively that the predictive power for an unpolarized transverse momentum distribution is maximal in the large-$Q$ and small-$x$ region. For cross sections the predictive power of the TMD factorization f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.07453","kind":"arxiv","version":2},"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/2003.07453/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2003.07453","created_at":"2026-07-05T01:15:38.224939+00:00"},{"alias_kind":"arxiv_version","alias_value":"2003.07453v2","created_at":"2026-07-05T01:15:38.224939+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.07453","created_at":"2026-07-05T01:15:38.224939+00:00"},{"alias_kind":"pith_short_12","alias_value":"FDVSV4M3IWIB","created_at":"2026-07-05T01:15:38.224939+00:00"},{"alias_kind":"pith_short_16","alias_value":"FDVSV4M3IWIBJ33E","created_at":"2026-07-05T01:15:38.224939+00:00"},{"alias_kind":"pith_short_8","alias_value":"FDVSV4M3","created_at":"2026-07-05T01:15:38.224939+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.19997","citing_title":"Introduction to transverse momentum imaging","ref_index":101,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS","json":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS.json","graph_json":"https://pith.science/api/pith-number/FDVSV4M3IWIBJ33EB6YSMWZICS/graph.json","events_json":"https://pith.science/api/pith-number/FDVSV4M3IWIBJ33EB6YSMWZICS/events.json","paper":"https://pith.science/paper/FDVSV4M3"},"agent_actions":{"view_html":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS","download_json":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS.json","view_paper":"https://pith.science/paper/FDVSV4M3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2003.07453&json=true","fetch_graph":"https://pith.science/api/pith-number/FDVSV4M3IWIBJ33EB6YSMWZICS/graph.json","fetch_events":"https://pith.science/api/pith-number/FDVSV4M3IWIBJ33EB6YSMWZICS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS/action/storage_attestation","attest_author":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS/action/author_attestation","sign_citation":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS/action/citation_signature","submit_replication":"https://pith.science/pith/FDVSV4M3IWIBJ33EB6YSMWZICS/action/replication_record"}},"created_at":"2026-07-05T01:15:38.224939+00:00","updated_at":"2026-07-05T01:15:38.224939+00:00"}