{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:YP5ELID3DW5IUEF2MKMPOHYDGC","short_pith_number":"pith:YP5ELID3","schema_version":"1.0","canonical_sha256":"c3fa45a07b1dba8a10ba6298f71f03308452056fd760b0a5f1cc3addffdb6208","source":{"kind":"arxiv","id":"2112.09105","version":2},"attestation_state":"computed","paper":{"title":"Evaluating Lyman-$\\alpha$ Constraints for General Dark-Matter Velocity Distributions: Multiple Scales and Cautionary Tales","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ph"],"primary_cat":"astro-ph.CO","authors_text":"Brooks Thomas, Fei Huang, Hai-Bo Yu, Jeff Kost, Keith R. Dienes","submitted_at":"2021-12-16T18:38:08Z","abstract_excerpt":"The Lyman-$\\alpha$ absorption spectrum associated with photons traversing the intergalactic medium allows us to probe the linear matter power spectrum down to relatively small distance scales. Finding ways of accurately evaluating Lyman-$\\alpha$ constraints across large classes of candidate models of dark-matter physics is thus of paramount importance. While such constraints have been evaluated for dark-matter models with relatively simple dark-matter velocity distributions, more complex models -- particularly those with dark-matter velocity distributions stretching across multiple scales -- a"},"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":"2112.09105","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2021-12-16T18:38:08Z","cross_cats_sorted":["hep-ph"],"title_canon_sha256":"74689858a7e6e28753b1b7f94b2af5765d1758ff7231bf490057dd12c6f00e0a","abstract_canon_sha256":"40ddacfe1695df11893623a8e271906db71f861cc4e258956b5dc5753636e30c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:30:05.732927Z","signature_b64":"ZfnUoB7ti+1iv7qyrAQtbYR1AxdE+fcxdcVEAuSwOQDh1m/5O29FdIiA+ixKqiXA2JjXixx/GwSVZXt0tcw3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3fa45a07b1dba8a10ba6298f71f03308452056fd760b0a5f1cc3addffdb6208","last_reissued_at":"2026-07-05T05:30:05.732491Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:30:05.732491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating Lyman-$\\alpha$ Constraints for General Dark-Matter Velocity Distributions: Multiple Scales and Cautionary Tales","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ph"],"primary_cat":"astro-ph.CO","authors_text":"Brooks Thomas, Fei Huang, Hai-Bo Yu, Jeff Kost, Keith R. Dienes","submitted_at":"2021-12-16T18:38:08Z","abstract_excerpt":"The Lyman-$\\alpha$ absorption spectrum associated with photons traversing the intergalactic medium allows us to probe the linear matter power spectrum down to relatively small distance scales. Finding ways of accurately evaluating Lyman-$\\alpha$ constraints across large classes of candidate models of dark-matter physics is thus of paramount importance. While such constraints have been evaluated for dark-matter models with relatively simple dark-matter velocity distributions, more complex models -- particularly those with dark-matter velocity distributions stretching across multiple scales -- a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.09105","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/2112.09105/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":"2112.09105","created_at":"2026-07-05T05:30:05.732545+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.09105v2","created_at":"2026-07-05T05:30:05.732545+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.09105","created_at":"2026-07-05T05:30:05.732545+00:00"},{"alias_kind":"pith_short_12","alias_value":"YP5ELID3DW5I","created_at":"2026-07-05T05:30:05.732545+00:00"},{"alias_kind":"pith_short_16","alias_value":"YP5ELID3DW5IUEF2","created_at":"2026-07-05T05:30:05.732545+00:00"},{"alias_kind":"pith_short_8","alias_value":"YP5ELID3","created_at":"2026-07-05T05:30:05.732545+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.13527","citing_title":"Machine Learning Does It and Does It Better: Unearthing Primordial Dark-Matter Velocities from the Matter Power Spectrum","ref_index":36,"is_internal_anchor":false},{"citing_arxiv_id":"2607.00755","citing_title":"KineticXGPU: A Tensorized Collision Operator for Dark-Sector Self-Scattering","ref_index":34,"is_internal_anchor":false},{"citing_arxiv_id":"2511.07511","citing_title":"Seasons of Dark Matter Freeze-In Shaped by the Weather of the Early Universe","ref_index":54,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC","json":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC.json","graph_json":"https://pith.science/api/pith-number/YP5ELID3DW5IUEF2MKMPOHYDGC/graph.json","events_json":"https://pith.science/api/pith-number/YP5ELID3DW5IUEF2MKMPOHYDGC/events.json","paper":"https://pith.science/paper/YP5ELID3"},"agent_actions":{"view_html":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC","download_json":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC.json","view_paper":"https://pith.science/paper/YP5ELID3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.09105&json=true","fetch_graph":"https://pith.science/api/pith-number/YP5ELID3DW5IUEF2MKMPOHYDGC/graph.json","fetch_events":"https://pith.science/api/pith-number/YP5ELID3DW5IUEF2MKMPOHYDGC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC/action/storage_attestation","attest_author":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC/action/author_attestation","sign_citation":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC/action/citation_signature","submit_replication":"https://pith.science/pith/YP5ELID3DW5IUEF2MKMPOHYDGC/action/replication_record"}},"created_at":"2026-07-05T05:30:05.732545+00:00","updated_at":"2026-07-05T05:30:05.732545+00:00"}