{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:HSQLV7RRDRVPFFNPIHDVDT7SDB","short_pith_number":"pith:HSQLV7RR","schema_version":"1.0","canonical_sha256":"3ca0bafe311c6af295af41c751cff21864eff0222ee74ba881a31f8e6a4e0986","source":{"kind":"arxiv","id":"2306.09421","version":1},"attestation_state":"computed","paper":{"title":"FLAIR: A Metric for Liquidity Provider Competitiveness in Automated Market Makers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","math.OC","q-fin.MF"],"primary_cat":"q-fin.PM","authors_text":"Austin Adams, Jason Milionis, Xin Wan","submitted_at":"2023-06-15T18:07:50Z","abstract_excerpt":"This paper aims to enhance the understanding of liquidity provider (LP) returns in automated market makers (AMMs). LPs face market risk as well as adverse selection due to risky asset holdings in the pool that they provide liquidity to and the informational asymmetry between informed traders (arbitrageurs) and AMMs. Loss-versus-rebalancing (LVR) quantifies the adverse selection cost (Milionis et al., 2022a), and is a popular metric to evaluate the flow toxicity to an AMM. However, individual LP returns are critically affected by another factor orthogonal to the above: the competitiveness among"},"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":"2306.09421","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PM","submitted_at":"2023-06-15T18:07:50Z","cross_cats_sorted":["cs.CE","math.OC","q-fin.MF"],"title_canon_sha256":"4db45f0a92d9a7933e21903b41a2f003fbfcf90b8daec042ce589048f82ed521","abstract_canon_sha256":"020b8449b452f4c6fc325c48f486618e05a7337dd6856fb12020ef038324675d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:21:19.876877Z","signature_b64":"dl39SuNZaUueTl+TtiSxiI5TwpSfp5c8l+D6FptezUd6OCJq55K2HED260x19DHV90/ZP3ySaCUH+AmF1QNRAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ca0bafe311c6af295af41c751cff21864eff0222ee74ba881a31f8e6a4e0986","last_reissued_at":"2026-07-05T06:21:19.876404Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:21:19.876404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FLAIR: A Metric for Liquidity Provider Competitiveness in Automated Market Makers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE","math.OC","q-fin.MF"],"primary_cat":"q-fin.PM","authors_text":"Austin Adams, Jason Milionis, Xin Wan","submitted_at":"2023-06-15T18:07:50Z","abstract_excerpt":"This paper aims to enhance the understanding of liquidity provider (LP) returns in automated market makers (AMMs). LPs face market risk as well as adverse selection due to risky asset holdings in the pool that they provide liquidity to and the informational asymmetry between informed traders (arbitrageurs) and AMMs. Loss-versus-rebalancing (LVR) quantifies the adverse selection cost (Milionis et al., 2022a), and is a popular metric to evaluate the flow toxicity to an AMM. However, individual LP returns are critically affected by another factor orthogonal to the above: the competitiveness among"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.09421","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/2306.09421/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":"2306.09421","created_at":"2026-07-05T06:21:19.876461+00:00"},{"alias_kind":"arxiv_version","alias_value":"2306.09421v1","created_at":"2026-07-05T06:21:19.876461+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.09421","created_at":"2026-07-05T06:21:19.876461+00:00"},{"alias_kind":"pith_short_12","alias_value":"HSQLV7RRDRVP","created_at":"2026-07-05T06:21:19.876461+00:00"},{"alias_kind":"pith_short_16","alias_value":"HSQLV7RRDRVPFFNP","created_at":"2026-07-05T06:21:19.876461+00:00"},{"alias_kind":"pith_short_8","alias_value":"HSQLV7RR","created_at":"2026-07-05T06:21:19.876461+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.07828","citing_title":"Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies","ref_index":32,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB","json":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB.json","graph_json":"https://pith.science/api/pith-number/HSQLV7RRDRVPFFNPIHDVDT7SDB/graph.json","events_json":"https://pith.science/api/pith-number/HSQLV7RRDRVPFFNPIHDVDT7SDB/events.json","paper":"https://pith.science/paper/HSQLV7RR"},"agent_actions":{"view_html":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB","download_json":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB.json","view_paper":"https://pith.science/paper/HSQLV7RR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2306.09421&json=true","fetch_graph":"https://pith.science/api/pith-number/HSQLV7RRDRVPFFNPIHDVDT7SDB/graph.json","fetch_events":"https://pith.science/api/pith-number/HSQLV7RRDRVPFFNPIHDVDT7SDB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB/action/storage_attestation","attest_author":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB/action/author_attestation","sign_citation":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB/action/citation_signature","submit_replication":"https://pith.science/pith/HSQLV7RRDRVPFFNPIHDVDT7SDB/action/replication_record"}},"created_at":"2026-07-05T06:21:19.876461+00:00","updated_at":"2026-07-05T06:21:19.876461+00:00"}