{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UVY2UT3EH27G2Y7VX6SEAVOY4V","short_pith_number":"pith:UVY2UT3E","canonical_record":{"source":{"id":"2607.28415","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:00:39Z","cross_cats_sorted":["cs.AI","cs.CV","cs.MM","cs.RO"],"title_canon_sha256":"ef9bb1cc509fcaf8a3ab6ed5f9fb9b53eec553c361047e99c8ba81c71be4e5ea","abstract_canon_sha256":"c3c8bdd88843b634edf9d03058205dff7a2d21b8c6b12991e46b6ac5b7b144b8"},"schema_version":"1.0"},"canonical_sha256":"a571aa4f643ebe6d63f5bfa44055d8e5749f35f433a965e8c0dbfb4f9763e1aa","source":{"kind":"arxiv","id":"2607.28415","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28415","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28415v1","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28415","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"pith_short_12","alias_value":"UVY2UT3EH27G","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"pith_short_16","alias_value":"UVY2UT3EH27G2Y7V","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"pith_short_8","alias_value":"UVY2UT3E","created_at":"2026-07-31T01:37:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UVY2UT3EH27G2Y7VX6SEAVOY4V","target":"record","payload":{"canonical_record":{"source":{"id":"2607.28415","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:00:39Z","cross_cats_sorted":["cs.AI","cs.CV","cs.MM","cs.RO"],"title_canon_sha256":"ef9bb1cc509fcaf8a3ab6ed5f9fb9b53eec553c361047e99c8ba81c71be4e5ea","abstract_canon_sha256":"c3c8bdd88843b634edf9d03058205dff7a2d21b8c6b12991e46b6ac5b7b144b8"},"schema_version":"1.0"},"canonical_sha256":"a571aa4f643ebe6d63f5bfa44055d8e5749f35f433a965e8c0dbfb4f9763e1aa","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a571aa4f643ebe6d63f5bfa44055d8e5749f35f433a965e8c0dbfb4f9763e1aa","last_reissued_at":"2026-07-31T01:37:34.361762Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:37:34.361762Z"},"source_kind":"arxiv","source_id":"2607.28415","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":"2026-07-31T01:37:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0UV4trlgTI5CQG3EErWUUx7yBWhF4Oz2JvMKdui/HBYcysLYnzXAzWsxYn2PJ1o//UUbKEAw3O1KXp3XKTBiBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:40:22.391751Z"},"content_sha256":"e978b07c8ea8ded3926b5c0484b884b3f677876ca84dcd244dd64f83c9ae315d","schema_version":"1.0","event_id":"sha256:e978b07c8ea8ded3926b5c0484b884b3f677876ca84dcd244dd64f83c9ae315d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UVY2UT3EH27G2Y7VX6SEAVOY4V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QQWorld: Quantile-Quantile Matching for World Model Regularization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.MM","cs.RO"],"primary_cat":"cs.LG","authors_text":"Xiangyu Xu, Xiaoyu Hu, Zhoushun Yu","submitted_at":"2026-07-30T16:00:39Z","abstract_excerpt":"Latent world models enable efficient planning by predicting future states in a compact representation space, but their performance depends critically on the quality of the learned latent distribution. LeWorldModel (LeWM) regularizes its latents toward an isotropic Gaussian using the Epps-Pulley (EP) objective. We show that the corrective gradients of EP rapidly vanish for isolated tail samples, leaving heavy-tailed deviations insufficiently controlled. To address this limitation, we propose QQWorld, which replaces EP with a quantile-quantile matching objective that directly aligns projected la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28415","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/2607.28415/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":"2026-07-31T01:37:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ny6yYbBsjczhdeyGkHQJgBnE45/iVkK4XQyLU2YSJtNt6LVCnUDiyxyTfxs8YrE8FDJEG7eIkpCWmSmmDIf2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:40:22.392140Z"},"content_sha256":"bde78ed96dca1cc49cc5121416f9fb993937ec15dcb81ba486e26814d3373567","schema_version":"1.0","event_id":"sha256:bde78ed96dca1cc49cc5121416f9fb993937ec15dcb81ba486e26814d3373567"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UVY2UT3EH27G2Y7VX6SEAVOY4V/bundle.json","state_url":"https://pith.science/pith/UVY2UT3EH27G2Y7VX6SEAVOY4V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UVY2UT3EH27G2Y7VX6SEAVOY4V/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":"2026-08-04T12:40:22Z","links":{"resolver":"https://pith.science/pith/UVY2UT3EH27G2Y7VX6SEAVOY4V","bundle":"https://pith.science/pith/UVY2UT3EH27G2Y7VX6SEAVOY4V/bundle.json","state":"https://pith.science/pith/UVY2UT3EH27G2Y7VX6SEAVOY4V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UVY2UT3EH27G2Y7VX6SEAVOY4V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UVY2UT3EH27G2Y7VX6SEAVOY4V","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":"c3c8bdd88843b634edf9d03058205dff7a2d21b8c6b12991e46b6ac5b7b144b8","cross_cats_sorted":["cs.AI","cs.CV","cs.MM","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:00:39Z","title_canon_sha256":"ef9bb1cc509fcaf8a3ab6ed5f9fb9b53eec553c361047e99c8ba81c71be4e5ea"},"schema_version":"1.0","source":{"id":"2607.28415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28415","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28415v1","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28415","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"pith_short_12","alias_value":"UVY2UT3EH27G","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"pith_short_16","alias_value":"UVY2UT3EH27G2Y7V","created_at":"2026-07-31T01:37:34Z"},{"alias_kind":"pith_short_8","alias_value":"UVY2UT3E","created_at":"2026-07-31T01:37:34Z"}],"graph_snapshots":[{"event_id":"sha256:bde78ed96dca1cc49cc5121416f9fb993937ec15dcb81ba486e26814d3373567","target":"graph","created_at":"2026-07-31T01:37:34Z","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/2607.28415/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Latent world models enable efficient planning by predicting future states in a compact representation space, but their performance depends critically on the quality of the learned latent distribution. LeWorldModel (LeWM) regularizes its latents toward an isotropic Gaussian using the Epps-Pulley (EP) objective. We show that the corrective gradients of EP rapidly vanish for isolated tail samples, leaving heavy-tailed deviations insufficiently controlled. To address this limitation, we propose QQWorld, which replaces EP with a quantile-quantile matching objective that directly aligns projected la","authors_text":"Xiangyu Xu, Xiaoyu Hu, Zhoushun Yu","cross_cats":["cs.AI","cs.CV","cs.MM","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:00:39Z","title":"QQWorld: Quantile-Quantile Matching for World Model Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28415","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:e978b07c8ea8ded3926b5c0484b884b3f677876ca84dcd244dd64f83c9ae315d","target":"record","created_at":"2026-07-31T01:37:34Z","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":"c3c8bdd88843b634edf9d03058205dff7a2d21b8c6b12991e46b6ac5b7b144b8","cross_cats_sorted":["cs.AI","cs.CV","cs.MM","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-30T16:00:39Z","title_canon_sha256":"ef9bb1cc509fcaf8a3ab6ed5f9fb9b53eec553c361047e99c8ba81c71be4e5ea"},"schema_version":"1.0","source":{"id":"2607.28415","kind":"arxiv","version":1}},"canonical_sha256":"a571aa4f643ebe6d63f5bfa44055d8e5749f35f433a965e8c0dbfb4f9763e1aa","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a571aa4f643ebe6d63f5bfa44055d8e5749f35f433a965e8c0dbfb4f9763e1aa","first_computed_at":"2026-07-31T01:37:34.361762Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:37:34.361762Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.28415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e978b07c8ea8ded3926b5c0484b884b3f677876ca84dcd244dd64f83c9ae315d","sha256:bde78ed96dca1cc49cc5121416f9fb993937ec15dcb81ba486e26814d3373567"],"state_sha256":"535ffd6fa7f64ce8066412ffb9c23e3508dbbf9af3214f788c54445b9c924273"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JnbmfAodXd4Zus3/dWJPNRWFk74yXmjFBVJUgds5gEDOQKPUjfXPG9cbKz2aFVr37Qs0wEE3TFK3RAD5CsLaAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:40:22.394741Z","bundle_sha256":"f0d7fe0ce9d2a7617e05dbbaf61f8135a733f206e43f521db6444882e27854fc"}}