{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:YC7P5C35MNQMDZEBBKGFEMVFI5","short_pith_number":"pith:YC7P5C35","canonical_record":{"source":{"id":"2102.01454","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-02T11:59:28Z","cross_cats_sorted":[],"title_canon_sha256":"3c3d9f86e56f8409c283f5433d2da00bfd7aa6debbe7b1b9215e5345c4b92afc","abstract_canon_sha256":"4c734b64b52fcbfc4aec4168410201d9d9638189f8f988f85ceb050152a068f3"},"schema_version":"1.0"},"canonical_sha256":"c0befe8b7d6360c1e4810a8c5232a547505ae590a990a48900b05c07a2fee903","source":{"kind":"arxiv","id":"2102.01454","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.01454","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"arxiv_version","alias_value":"2102.01454v3","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.01454","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"pith_short_12","alias_value":"YC7P5C35MNQM","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"pith_short_16","alias_value":"YC7P5C35MNQMDZEB","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"pith_short_8","alias_value":"YC7P5C35","created_at":"2026-07-05T03:34:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:YC7P5C35MNQMDZEBBKGFEMVFI5","target":"record","payload":{"canonical_record":{"source":{"id":"2102.01454","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-02T11:59:28Z","cross_cats_sorted":[],"title_canon_sha256":"3c3d9f86e56f8409c283f5433d2da00bfd7aa6debbe7b1b9215e5345c4b92afc","abstract_canon_sha256":"4c734b64b52fcbfc4aec4168410201d9d9638189f8f988f85ceb050152a068f3"},"schema_version":"1.0"},"canonical_sha256":"c0befe8b7d6360c1e4810a8c5232a547505ae590a990a48900b05c07a2fee903","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:34:05.618859Z","signature_b64":"UtD0cVye/VccIgRFgIlgRi1FIIaPHuz+ukfPr9N6zi0JSqYJs4wlTMCWVtKKsko3e//cFA+UlINugC2+oHU1Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0befe8b7d6360c1e4810a8c5232a547505ae590a990a48900b05c07a2fee903","last_reissued_at":"2026-07-05T03:34:05.618354Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:34:05.618354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.01454","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":"2026-07-05T03:34:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FVkt9YeyoXiuAvNL2aKSg1DT0T5A+xJYvm8j4FxZefKmgX1GnoYCZ+wgp6c26TiDSkBzQ2f7xwnNQeDzq8oUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:50:28.599343Z"},"content_sha256":"488ed71d2b9e286e3a853a564f2652aed66c3821cd9f8ae6a23fc9b5932059bc","schema_version":"1.0","event_id":"sha256:488ed71d2b9e286e3a853a564f2652aed66c3821cd9f8ae6a23fc9b5932059bc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:YC7P5C35MNQMDZEBBKGFEMVFI5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"John Thickstun, Krishna Pillutla, Rowan Zellers, Sean Welleck, Swabha Swayamdipta, Yejin Choi, Zaid Harchaoui","submitted_at":"2021-02-02T11:59:28Z","abstract_excerpt":"As major progress is made in open-ended text generation, measuring how close machine-generated text is to human language remains a critical open problem. We introduce MAUVE, a comparison measure for open-ended text generation, which directly compares the learnt distribution from a text generation model to the distribution of human-written text using divergence frontiers. MAUVE scales up to modern text generation models by computing information divergences in a quantized embedding space. Through an extensive empirical study on three open-ended generation tasks, we find that MAUVE identifies kno"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.01454","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/2102.01454/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":"2026-07-05T03:34:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xzQntbnsdDrIzqpGNZd33JKoJl+8ORKBWKaWE6o/1KU2fKDmjQfrXpXi2OS/Lx0smMwISXwaOnp7i9Q69XYYDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:50:28.599806Z"},"content_sha256":"0ff6b6c26c58432dfc4eab197f463bfcb0159fed07d84c159b31a0cbf6a584b3","schema_version":"1.0","event_id":"sha256:0ff6b6c26c58432dfc4eab197f463bfcb0159fed07d84c159b31a0cbf6a584b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YC7P5C35MNQMDZEBBKGFEMVFI5/bundle.json","state_url":"https://pith.science/pith/YC7P5C35MNQMDZEBBKGFEMVFI5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YC7P5C35MNQMDZEBBKGFEMVFI5/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":"2026-07-31T13:50:28Z","links":{"resolver":"https://pith.science/pith/YC7P5C35MNQMDZEBBKGFEMVFI5","bundle":"https://pith.science/pith/YC7P5C35MNQMDZEBBKGFEMVFI5/bundle.json","state":"https://pith.science/pith/YC7P5C35MNQMDZEBBKGFEMVFI5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YC7P5C35MNQMDZEBBKGFEMVFI5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YC7P5C35MNQMDZEBBKGFEMVFI5","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":"4c734b64b52fcbfc4aec4168410201d9d9638189f8f988f85ceb050152a068f3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-02T11:59:28Z","title_canon_sha256":"3c3d9f86e56f8409c283f5433d2da00bfd7aa6debbe7b1b9215e5345c4b92afc"},"schema_version":"1.0","source":{"id":"2102.01454","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.01454","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"arxiv_version","alias_value":"2102.01454v3","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.01454","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"pith_short_12","alias_value":"YC7P5C35MNQM","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"pith_short_16","alias_value":"YC7P5C35MNQMDZEB","created_at":"2026-07-05T03:34:05Z"},{"alias_kind":"pith_short_8","alias_value":"YC7P5C35","created_at":"2026-07-05T03:34:05Z"}],"graph_snapshots":[{"event_id":"sha256:0ff6b6c26c58432dfc4eab197f463bfcb0159fed07d84c159b31a0cbf6a584b3","target":"graph","created_at":"2026-07-05T03:34:05Z","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/2102.01454/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As major progress is made in open-ended text generation, measuring how close machine-generated text is to human language remains a critical open problem. We introduce MAUVE, a comparison measure for open-ended text generation, which directly compares the learnt distribution from a text generation model to the distribution of human-written text using divergence frontiers. MAUVE scales up to modern text generation models by computing information divergences in a quantized embedding space. Through an extensive empirical study on three open-ended generation tasks, we find that MAUVE identifies kno","authors_text":"John Thickstun, Krishna Pillutla, Rowan Zellers, Sean Welleck, Swabha Swayamdipta, Yejin Choi, Zaid Harchaoui","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-02T11:59:28Z","title":"MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.01454","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":"sha256:488ed71d2b9e286e3a853a564f2652aed66c3821cd9f8ae6a23fc9b5932059bc","target":"record","created_at":"2026-07-05T03:34:05Z","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":"4c734b64b52fcbfc4aec4168410201d9d9638189f8f988f85ceb050152a068f3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-02T11:59:28Z","title_canon_sha256":"3c3d9f86e56f8409c283f5433d2da00bfd7aa6debbe7b1b9215e5345c4b92afc"},"schema_version":"1.0","source":{"id":"2102.01454","kind":"arxiv","version":3}},"canonical_sha256":"c0befe8b7d6360c1e4810a8c5232a547505ae590a990a48900b05c07a2fee903","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0befe8b7d6360c1e4810a8c5232a547505ae590a990a48900b05c07a2fee903","first_computed_at":"2026-07-05T03:34:05.618354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:34:05.618354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UtD0cVye/VccIgRFgIlgRi1FIIaPHuz+ukfPr9N6zi0JSqYJs4wlTMCWVtKKsko3e//cFA+UlINugC2+oHU1Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:34:05.618859Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.01454","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:488ed71d2b9e286e3a853a564f2652aed66c3821cd9f8ae6a23fc9b5932059bc","sha256:0ff6b6c26c58432dfc4eab197f463bfcb0159fed07d84c159b31a0cbf6a584b3"],"state_sha256":"7fd4203f1baf9685cee145281fa77f8bd202b6805312b4da6c2957d9dfe47ef5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pirpb004bmhr+/899h8VXXPWh0JRf4Sm/Tb1tMAI2k+AjvUHbmRrVpdfwHotMv901v+9NNx8H5yVwzTyCtliCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T13:50:28.602704Z","bundle_sha256":"a73d4287d3fca9548defe9a707d05505555dd3d1a59d864dd73107d6a7c41d27"}}