{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SBLAZGQT2NUQMPO5MI6XVFT4WC","short_pith_number":"pith:SBLAZGQT","canonical_record":{"source":{"id":"2508.16588","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.TR","submitted_at":"2025-08-07T21:49:24Z","cross_cats_sorted":["cs.AI","econ.GN","q-fin.EC"],"title_canon_sha256":"1da0b80f06352778eb41327d8a08d68c2398d54db34d7721f0dd31597f926575","abstract_canon_sha256":"f24702e4de68a13f88c962c63f0f640cb22340d685350e9ff00200e5feff7ce8"},"schema_version":"1.0"},"canonical_sha256":"90560c9a13d369063ddd623d7a967cb0ac81b40f504724378314c5a39354a6d4","source":{"kind":"arxiv","id":"2508.16588","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16588","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16588v1","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16588","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"SBLAZGQT2NUQ","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"SBLAZGQT2NUQMPO5","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"SBLAZGQT","created_at":"2026-07-05T11:57:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SBLAZGQT2NUQMPO5MI6XVFT4WC","target":"record","payload":{"canonical_record":{"source":{"id":"2508.16588","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.TR","submitted_at":"2025-08-07T21:49:24Z","cross_cats_sorted":["cs.AI","econ.GN","q-fin.EC"],"title_canon_sha256":"1da0b80f06352778eb41327d8a08d68c2398d54db34d7721f0dd31597f926575","abstract_canon_sha256":"f24702e4de68a13f88c962c63f0f640cb22340d685350e9ff00200e5feff7ce8"},"schema_version":"1.0"},"canonical_sha256":"90560c9a13d369063ddd623d7a967cb0ac81b40f504724378314c5a39354a6d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:59.743368Z","signature_b64":"kUkxAK7oWA+ygimodgcCirsNmFdPIi5JJrXRBM7DY/+TCWqpD6dcvP8sg5m/RRHN69/IErtEhqXm84bHxm68Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90560c9a13d369063ddd623d7a967cb0ac81b40f504724378314c5a39354a6d4","last_reissued_at":"2026-07-05T11:57:59.742916Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:59.742916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.16588","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":"2026-07-05T11:57:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3I7xStu9QxzgfIenbcdGgYE7v0niC9XzFsvPsbI6bnzbFB1ZqmfFPJI7BavXRbO0BsKuIzYOVcq0s9dgZwFVCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:47:37.260616Z"},"content_sha256":"2e87e03f98ec017905d24fb5394be6cbe39998698967c54a033fe307b895d095","schema_version":"1.0","event_id":"sha256:2e87e03f98ec017905d24fb5394be6cbe39998698967c54a033fe307b895d095"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SBLAZGQT2NUQMPO5MI6XVFT4WC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Market Making: To Quote, or not To Quote","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","econ.GN","q-fin.EC"],"primary_cat":"q-fin.TR","authors_text":"Carmine Ventre, Maria Polukarov, Ziyi Wang","submitted_at":"2025-08-07T21:49:24Z","abstract_excerpt":"Market making is a popular trading strategy, which aims to generate profit from the spread between the quotes posted at either side of the market. It has been shown that training market makers (MMs) with adversarial reinforcement learning allows to overcome the risks due to changing market conditions and to lead to robust performances. Prior work assumes, however, that MMs keep quoting throughout the trading process, but in practice this is not required, even for ``registered'' MMs (that only need to satisfy quoting ratios defined by the market rules). In this paper, we build on this line of w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16588","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/2508.16588/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":"2026-07-05T11:57:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3epnJwit2YNISddJojZOHDbp3mx6O6xx6hUTPoX2OahIGW/UcEZ/S4OVoyFbf+NUO6rbxCvRjEh2q4NclzVJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:47:37.260941Z"},"content_sha256":"220d4f0b988b2285afb1ee929945d39dd05c9c7fb45289f2e76052ceeb9fcee0","schema_version":"1.0","event_id":"sha256:220d4f0b988b2285afb1ee929945d39dd05c9c7fb45289f2e76052ceeb9fcee0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SBLAZGQT2NUQMPO5MI6XVFT4WC/bundle.json","state_url":"https://pith.science/pith/SBLAZGQT2NUQMPO5MI6XVFT4WC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SBLAZGQT2NUQMPO5MI6XVFT4WC/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":"2026-08-11T10:47:37Z","links":{"resolver":"https://pith.science/pith/SBLAZGQT2NUQMPO5MI6XVFT4WC","bundle":"https://pith.science/pith/SBLAZGQT2NUQMPO5MI6XVFT4WC/bundle.json","state":"https://pith.science/pith/SBLAZGQT2NUQMPO5MI6XVFT4WC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SBLAZGQT2NUQMPO5MI6XVFT4WC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SBLAZGQT2NUQMPO5MI6XVFT4WC","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":"f24702e4de68a13f88c962c63f0f640cb22340d685350e9ff00200e5feff7ce8","cross_cats_sorted":["cs.AI","econ.GN","q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.TR","submitted_at":"2025-08-07T21:49:24Z","title_canon_sha256":"1da0b80f06352778eb41327d8a08d68c2398d54db34d7721f0dd31597f926575"},"schema_version":"1.0","source":{"id":"2508.16588","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16588","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16588v1","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16588","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"SBLAZGQT2NUQ","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"SBLAZGQT2NUQMPO5","created_at":"2026-07-05T11:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"SBLAZGQT","created_at":"2026-07-05T11:57:59Z"}],"graph_snapshots":[{"event_id":"sha256:220d4f0b988b2285afb1ee929945d39dd05c9c7fb45289f2e76052ceeb9fcee0","target":"graph","created_at":"2026-07-05T11:57:59Z","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/2508.16588/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Market making is a popular trading strategy, which aims to generate profit from the spread between the quotes posted at either side of the market. It has been shown that training market makers (MMs) with adversarial reinforcement learning allows to overcome the risks due to changing market conditions and to lead to robust performances. Prior work assumes, however, that MMs keep quoting throughout the trading process, but in practice this is not required, even for ``registered'' MMs (that only need to satisfy quoting ratios defined by the market rules). In this paper, we build on this line of w","authors_text":"Carmine Ventre, Maria Polukarov, Ziyi Wang","cross_cats":["cs.AI","econ.GN","q-fin.EC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.TR","submitted_at":"2025-08-07T21:49:24Z","title":"Robust Market Making: To Quote, or not To Quote"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16588","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":"sha256:2e87e03f98ec017905d24fb5394be6cbe39998698967c54a033fe307b895d095","target":"record","created_at":"2026-07-05T11:57:59Z","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":"f24702e4de68a13f88c962c63f0f640cb22340d685350e9ff00200e5feff7ce8","cross_cats_sorted":["cs.AI","econ.GN","q-fin.EC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.TR","submitted_at":"2025-08-07T21:49:24Z","title_canon_sha256":"1da0b80f06352778eb41327d8a08d68c2398d54db34d7721f0dd31597f926575"},"schema_version":"1.0","source":{"id":"2508.16588","kind":"arxiv","version":1}},"canonical_sha256":"90560c9a13d369063ddd623d7a967cb0ac81b40f504724378314c5a39354a6d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"90560c9a13d369063ddd623d7a967cb0ac81b40f504724378314c5a39354a6d4","first_computed_at":"2026-07-05T11:57:59.742916Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:59.742916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kUkxAK7oWA+ygimodgcCirsNmFdPIi5JJrXRBM7DY/+TCWqpD6dcvP8sg5m/RRHN69/IErtEhqXm84bHxm68Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:59.743368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.16588","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e87e03f98ec017905d24fb5394be6cbe39998698967c54a033fe307b895d095","sha256:220d4f0b988b2285afb1ee929945d39dd05c9c7fb45289f2e76052ceeb9fcee0"],"state_sha256":"a8a42d816a20b7748d99e4e5bfcea099101a7f9f7fd7e008fb7130cab8c57ab2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C5oE50hIPln/VqBcjbhavXfs/NuyE5Gaci5xtDQ/K7ma+rGHLqKw8SUkqCS9g/6HxvAqapZpNiB85zdfwSt3Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T10:47:37.263078Z","bundle_sha256":"bf783e6e6f46a549a280155d81de7f0aaa91f844de1e9946ed4a51cb9a59d2a4"}}