{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2JGWRGTJ6VLXYMU3V3ATK364P5","short_pith_number":"pith:2JGWRGTJ","canonical_record":{"source":{"id":"2508.15860","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-20T15:18:59Z","cross_cats_sorted":["cs.CV","eess.AS"],"title_canon_sha256":"3500bb5066df4aa6d44eb8458e053a230f79e2c9e8a3b778f3e05287f02edb3c","abstract_canon_sha256":"394d9a729f68d09905fb4464b0f8baa901ac0f670a03b6bdd0fc0bc790d8c118"},"schema_version":"1.0"},"canonical_sha256":"d24d689a69f5577c329baec1356fdc7f5270cdb13df615597f256f8fc8042d25","source":{"kind":"arxiv","id":"2508.15860","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15860","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15860v4","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15860","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"pith_short_12","alias_value":"2JGWRGTJ6VLX","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"2JGWRGTJ6VLXYMU3","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"2JGWRGTJ","created_at":"2026-07-31T01:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2JGWRGTJ6VLXYMU3V3ATK364P5","target":"record","payload":{"canonical_record":{"source":{"id":"2508.15860","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-20T15:18:59Z","cross_cats_sorted":["cs.CV","eess.AS"],"title_canon_sha256":"3500bb5066df4aa6d44eb8458e053a230f79e2c9e8a3b778f3e05287f02edb3c","abstract_canon_sha256":"394d9a729f68d09905fb4464b0f8baa901ac0f670a03b6bdd0fc0bc790d8c118"},"schema_version":"1.0"},"canonical_sha256":"d24d689a69f5577c329baec1356fdc7f5270cdb13df615597f256f8fc8042d25","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d24d689a69f5577c329baec1356fdc7f5270cdb13df615597f256f8fc8042d25","last_reissued_at":"2026-07-31T01:32:37.688389Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:32:37.688389Z"},"source_kind":"arxiv","source_id":"2508.15860","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-31T01:32:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qpTnIpXHtg9jBfKTDZuVqI5fjnV7UMiNKz7z2Rhoz5LOilnekEFXJ9mlPuI5VTbQRG61vO/cJPLSmmcxvPFpBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T08:04:41.560363Z"},"content_sha256":"8feeec1b950fbf02e1d8e0a12b866c217cc3ca819547f0053f860df052661839","schema_version":"1.0","event_id":"sha256:8feeec1b950fbf02e1d8e0a12b866c217cc3ca819547f0053f860df052661839"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2JGWRGTJ6VLXYMU3V3ATK364P5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Residual Finite Scalar Quantization for Neural Compression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","eess.AS"],"primary_cat":"eess.IV","authors_text":"Baoxiang Li, Dongchuan Ran, Xiaoxu Zhu, Yiming Ren","submitted_at":"2025-08-20T15:18:59Z","abstract_excerpt":"Finite Scalar Quantization (FSQ) offers simplified training but suffers from residual magnitude decay in multi-stage settings, where subsequent stages receive exponentially weaker signals. We propose Robust Residual Finite Scalar Quantization (RFSQ), addressing this fundamental limitation through two novel conditioning strategies: learnable scaling factors and invertible layer normalization. Our experiments across audio and image modalities demonstrate RFSQ's effectiveness and generalizability. In audio reconstruction at 24 bits/frame, RFSQ-LayerNorm achieves 3.646 DNSMOS, a 3.6% improvement o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15860","kind":"arxiv","version":4},"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/2508.15860/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":"2026-07-31T01:32:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"12YPemQUk5h3I2dOnrogIfze813vxG6j6Udx+YBCLPAKCKFWwKYpyL3Rq80txL+3XFwarsquqwUUg773FZOwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T08:04:41.560884Z"},"content_sha256":"c8a2d5dcdf4dda44695ff1bb76dca86b9fead63a5565b43ac99af770e3965274","schema_version":"1.0","event_id":"sha256:c8a2d5dcdf4dda44695ff1bb76dca86b9fead63a5565b43ac99af770e3965274"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2JGWRGTJ6VLXYMU3V3ATK364P5/bundle.json","state_url":"https://pith.science/pith/2JGWRGTJ6VLXYMU3V3ATK364P5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2JGWRGTJ6VLXYMU3V3ATK364P5/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":"2026-08-06T08:04:41Z","links":{"resolver":"https://pith.science/pith/2JGWRGTJ6VLXYMU3V3ATK364P5","bundle":"https://pith.science/pith/2JGWRGTJ6VLXYMU3V3ATK364P5/bundle.json","state":"https://pith.science/pith/2JGWRGTJ6VLXYMU3V3ATK364P5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2JGWRGTJ6VLXYMU3V3ATK364P5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2JGWRGTJ6VLXYMU3V3ATK364P5","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":"394d9a729f68d09905fb4464b0f8baa901ac0f670a03b6bdd0fc0bc790d8c118","cross_cats_sorted":["cs.CV","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-20T15:18:59Z","title_canon_sha256":"3500bb5066df4aa6d44eb8458e053a230f79e2c9e8a3b778f3e05287f02edb3c"},"schema_version":"1.0","source":{"id":"2508.15860","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15860","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15860v4","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15860","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"pith_short_12","alias_value":"2JGWRGTJ6VLX","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"2JGWRGTJ6VLXYMU3","created_at":"2026-07-31T01:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"2JGWRGTJ","created_at":"2026-07-31T01:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:c8a2d5dcdf4dda44695ff1bb76dca86b9fead63a5565b43ac99af770e3965274","target":"graph","created_at":"2026-07-31T01:32:37Z","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/2508.15860/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Finite Scalar Quantization (FSQ) offers simplified training but suffers from residual magnitude decay in multi-stage settings, where subsequent stages receive exponentially weaker signals. We propose Robust Residual Finite Scalar Quantization (RFSQ), addressing this fundamental limitation through two novel conditioning strategies: learnable scaling factors and invertible layer normalization. Our experiments across audio and image modalities demonstrate RFSQ's effectiveness and generalizability. In audio reconstruction at 24 bits/frame, RFSQ-LayerNorm achieves 3.646 DNSMOS, a 3.6% improvement o","authors_text":"Baoxiang Li, Dongchuan Ran, Xiaoxu Zhu, Yiming Ren","cross_cats":["cs.CV","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-20T15:18:59Z","title":"Robust Residual Finite Scalar Quantization for Neural Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15860","kind":"arxiv","version":4},"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":"sha256:8feeec1b950fbf02e1d8e0a12b866c217cc3ca819547f0053f860df052661839","target":"record","created_at":"2026-07-31T01:32:37Z","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":"394d9a729f68d09905fb4464b0f8baa901ac0f670a03b6bdd0fc0bc790d8c118","cross_cats_sorted":["cs.CV","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-08-20T15:18:59Z","title_canon_sha256":"3500bb5066df4aa6d44eb8458e053a230f79e2c9e8a3b778f3e05287f02edb3c"},"schema_version":"1.0","source":{"id":"2508.15860","kind":"arxiv","version":4}},"canonical_sha256":"d24d689a69f5577c329baec1356fdc7f5270cdb13df615597f256f8fc8042d25","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d24d689a69f5577c329baec1356fdc7f5270cdb13df615597f256f8fc8042d25","first_computed_at":"2026-07-31T01:32:37.688389Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:32:37.688389Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2508.15860","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8feeec1b950fbf02e1d8e0a12b866c217cc3ca819547f0053f860df052661839","sha256:c8a2d5dcdf4dda44695ff1bb76dca86b9fead63a5565b43ac99af770e3965274"],"state_sha256":"788ce6f1e07bca7dc7cccd8b7b98d279fc330928f8dac33b87fcd6d81831e318"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iYoradswXFutL9YwjBj3tRVpRWSiGjTavZ6J2hmHnZvw/UTG6Fb+9CDMJgabmhzkC4SkazVbFyytm0wHphQuAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T08:04:41.564699Z","bundle_sha256":"0adb482413a4a5020fc4c9d36432766383c9352428d3e6f7987301a0035c4f87"}}