{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:Z4A42J43EIG2ZBUXADDJSCAJGV","short_pith_number":"pith:Z4A42J43","canonical_record":{"source":{"id":"2401.00365","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-31T01:39:38Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"738be7ca4383a6026f82adfd03cd4ddef6db890c944259db834041883b82af4e","abstract_canon_sha256":"8e13951006d5c48eaa64754ebb7241178912564eb22132a557ddab4281c6cb2c"},"schema_version":"1.0"},"canonical_sha256":"cf01cd279b220dac869700c6990809357ed573667617a6a6570ec36f97da3dfd","source":{"kind":"arxiv","id":"2401.00365","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00365","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00365v2","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00365","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"Z4A42J43EIG2","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"Z4A42J43EIG2ZBUX","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"Z4A42J43","created_at":"2026-07-05T08:01:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:Z4A42J43EIG2ZBUXADDJSCAJGV","target":"record","payload":{"canonical_record":{"source":{"id":"2401.00365","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-31T01:39:38Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"738be7ca4383a6026f82adfd03cd4ddef6db890c944259db834041883b82af4e","abstract_canon_sha256":"8e13951006d5c48eaa64754ebb7241178912564eb22132a557ddab4281c6cb2c"},"schema_version":"1.0"},"canonical_sha256":"cf01cd279b220dac869700c6990809357ed573667617a6a6570ec36f97da3dfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:01:36.307067Z","signature_b64":"2/HqLzg5P0hxGGv4wV9Tk6+daqNh/R5G+8UEj8rWlsstrCR8FBN9NjLlGB3qyJkeJatmk+/025TOYhaIr+1XCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cf01cd279b220dac869700c6990809357ed573667617a6a6570ec36f97da3dfd","last_reissued_at":"2026-07-05T08:01:36.306473Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:01:36.306473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.00365","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TrboLCTpEZEkMKzggnoTGk7UVB8I+CqiGxrkb8ugUYDWChGcH/UUNG0OywwB3oHTuSMtUN4rK5LRcYGLKGq7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T08:32:03.352733Z"},"content_sha256":"e2c7b218d5281aa4cecea25d957737114ae9b496f04f5dda20625d894f0a0cba","schema_version":"1.0","event_id":"sha256:e2c7b218d5281aa4cecea25d957737114ae9b496f04f5dda20625d894f0a0cba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:Z4A42J43EIG2ZBUXADDJSCAJGV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Chieh-Hsin Lai, Kazuki Shimada, Kengo Uchida, Naoki Murata, Takashi Shibuya, Toshimitsu Uesaka, Wei-Hsiang Liao, Woosung Choi, Yuhta Takida, Yukara Ikemiya, Yuki Mitsufuji","submitted_at":"2023-12-31T01:39:38Z","abstract_excerpt":"Vector quantization (VQ) is a technique to deterministically learn features with discrete codebook representations. It is commonly performed with a variational autoencoding model, VQ-VAE, which can be further extended to hierarchical structures for making high-fidelity reconstructions. However, such hierarchical extensions of VQ-VAE often suffer from the codebook/layer collapse issue, where the codebook is not efficiently used to express the data, and hence degrades reconstruction accuracy. To mitigate this problem, we propose a novel unified framework to stochastically learn hierarchical disc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00365","kind":"arxiv","version":2},"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/2401.00365/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":"2026-07-05T08:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Ji+3AU9/B+/an8+M3Xa3hQ3+AGtodAER8cuyci3moLBQuQKgZ80CVwRJZMiPKm52QDrcpGqf3P+ZmJoLRbuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T08:32:03.353116Z"},"content_sha256":"410faf9b31ac008b1d9e36f2d3e2f24628292b1fbb642055889ea817a2361acb","schema_version":"1.0","event_id":"sha256:410faf9b31ac008b1d9e36f2d3e2f24628292b1fbb642055889ea817a2361acb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z4A42J43EIG2ZBUXADDJSCAJGV/bundle.json","state_url":"https://pith.science/pith/Z4A42J43EIG2ZBUXADDJSCAJGV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z4A42J43EIG2ZBUXADDJSCAJGV/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":"2026-07-06T08:32:03Z","links":{"resolver":"https://pith.science/pith/Z4A42J43EIG2ZBUXADDJSCAJGV","bundle":"https://pith.science/pith/Z4A42J43EIG2ZBUXADDJSCAJGV/bundle.json","state":"https://pith.science/pith/Z4A42J43EIG2ZBUXADDJSCAJGV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z4A42J43EIG2ZBUXADDJSCAJGV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Z4A42J43EIG2ZBUXADDJSCAJGV","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":"8e13951006d5c48eaa64754ebb7241178912564eb22132a557ddab4281c6cb2c","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-31T01:39:38Z","title_canon_sha256":"738be7ca4383a6026f82adfd03cd4ddef6db890c944259db834041883b82af4e"},"schema_version":"1.0","source":{"id":"2401.00365","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00365","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00365v2","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00365","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"Z4A42J43EIG2","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"Z4A42J43EIG2ZBUX","created_at":"2026-07-05T08:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"Z4A42J43","created_at":"2026-07-05T08:01:36Z"}],"graph_snapshots":[{"event_id":"sha256:410faf9b31ac008b1d9e36f2d3e2f24628292b1fbb642055889ea817a2361acb","target":"graph","created_at":"2026-07-05T08:01:36Z","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/2401.00365/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vector quantization (VQ) is a technique to deterministically learn features with discrete codebook representations. It is commonly performed with a variational autoencoding model, VQ-VAE, which can be further extended to hierarchical structures for making high-fidelity reconstructions. However, such hierarchical extensions of VQ-VAE often suffer from the codebook/layer collapse issue, where the codebook is not efficiently used to express the data, and hence degrades reconstruction accuracy. To mitigate this problem, we propose a novel unified framework to stochastically learn hierarchical disc","authors_text":"Chieh-Hsin Lai, Kazuki Shimada, Kengo Uchida, Naoki Murata, Takashi Shibuya, Toshimitsu Uesaka, Wei-Hsiang Liao, Woosung Choi, Yuhta Takida, Yukara Ikemiya, Yuki Mitsufuji","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-31T01:39:38Z","title":"HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00365","kind":"arxiv","version":2},"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:e2c7b218d5281aa4cecea25d957737114ae9b496f04f5dda20625d894f0a0cba","target":"record","created_at":"2026-07-05T08:01:36Z","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":"8e13951006d5c48eaa64754ebb7241178912564eb22132a557ddab4281c6cb2c","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-12-31T01:39:38Z","title_canon_sha256":"738be7ca4383a6026f82adfd03cd4ddef6db890c944259db834041883b82af4e"},"schema_version":"1.0","source":{"id":"2401.00365","kind":"arxiv","version":2}},"canonical_sha256":"cf01cd279b220dac869700c6990809357ed573667617a6a6570ec36f97da3dfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf01cd279b220dac869700c6990809357ed573667617a6a6570ec36f97da3dfd","first_computed_at":"2026-07-05T08:01:36.306473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:36.306473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2/HqLzg5P0hxGGv4wV9Tk6+daqNh/R5G+8UEj8rWlsstrCR8FBN9NjLlGB3qyJkeJatmk+/025TOYhaIr+1XCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:36.307067Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00365","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2c7b218d5281aa4cecea25d957737114ae9b496f04f5dda20625d894f0a0cba","sha256:410faf9b31ac008b1d9e36f2d3e2f24628292b1fbb642055889ea817a2361acb"],"state_sha256":"57408658a6522e0386b06920cb86ff9cb7f59c4bf8b214dc8a32ac9a97619a6e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SGzjDQqakGQaD7Is/6w6GOBYkAJ0SOCTZyCL5il0scSzv2govItpG6zJM+19kdQ4xRHg2Seqa5gziM5Y8BAUAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T08:32:03.355131Z","bundle_sha256":"48cf413fce4de2cdf0e871e85bcc58f72b0c832af26979efbe215521a450f786"}}