{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2008:I2V75L5ULPGIDEYLPMO3G5JJN2","short_pith_number":"pith:I2V75L5U","schema_version":"1.0","canonical_sha256":"46abfeafb45bcc81930b7b1db375296ea67b3489939b3bb1fa93673c29a6ac82","source":{"kind":"arxiv","id":"0808.4156","version":2},"attestation_state":"computed","paper":{"title":"Rate-Distortion via Markov Chain Monte Carlo","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Shirin Jalali, Tsachy Weissman","submitted_at":"2008-08-29T19:23:16Z","abstract_excerpt":"We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstruction sequence from a Boltzmann distribution associated with an energy function that incorporates the distortion between the source and reconstruction, the compressibility of the reconstruction, and the point sought on the rate-distortion curve. To sample from this distribution, we use a `heat bath algorithm': Starting from an initial candidate reconstruction (say the original source sequence), at every iteration, an inde"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"0808.4156","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2008-08-29T19:23:16Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"4fd0663fbf84520bafd6fb135e0a27724e8abe1b1325ba0ce1b44441d3d6c514","abstract_canon_sha256":"98cd3ed76e4443ce853222480bc1e73d15f302b049206c6196e61c2f9b3c579f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:25.407436Z","signature_b64":"3NhNaOiSz2RWrHtCfWjMMcRBNGWZpiGw3K13Yc3P6kAX9OAvNvYzAvFHe/jCmmRorTAaJZtGvtXIfM5EEDfkBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46abfeafb45bcc81930b7b1db375296ea67b3489939b3bb1fa93673c29a6ac82","last_reissued_at":"2026-05-18T00:58:25.406651Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:25.406651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rate-Distortion via Markov Chain Monte Carlo","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Shirin Jalali, Tsachy Weissman","submitted_at":"2008-08-29T19:23:16Z","abstract_excerpt":"We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstruction sequence from a Boltzmann distribution associated with an energy function that incorporates the distortion between the source and reconstruction, the compressibility of the reconstruction, and the point sought on the rate-distortion curve. To sample from this distribution, we use a `heat bath algorithm': Starting from an initial candidate reconstruction (say the original source sequence), at every iteration, an inde"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0808.4156","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"0808.4156","created_at":"2026-05-18T00:58:25.406779+00:00"},{"alias_kind":"arxiv_version","alias_value":"0808.4156v2","created_at":"2026-05-18T00:58:25.406779+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0808.4156","created_at":"2026-05-18T00:58:25.406779+00:00"},{"alias_kind":"pith_short_12","alias_value":"I2V75L5ULPGI","created_at":"2026-05-18T12:25:57.157939+00:00"},{"alias_kind":"pith_short_16","alias_value":"I2V75L5ULPGIDEYL","created_at":"2026-05-18T12:25:57.157939+00:00"},{"alias_kind":"pith_short_8","alias_value":"I2V75L5U","created_at":"2026-05-18T12:25:57.157939+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2","json":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2.json","graph_json":"https://pith.science/api/pith-number/I2V75L5ULPGIDEYLPMO3G5JJN2/graph.json","events_json":"https://pith.science/api/pith-number/I2V75L5ULPGIDEYLPMO3G5JJN2/events.json","paper":"https://pith.science/paper/I2V75L5U"},"agent_actions":{"view_html":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2","download_json":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2.json","view_paper":"https://pith.science/paper/I2V75L5U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0808.4156&json=true","fetch_graph":"https://pith.science/api/pith-number/I2V75L5ULPGIDEYLPMO3G5JJN2/graph.json","fetch_events":"https://pith.science/api/pith-number/I2V75L5ULPGIDEYLPMO3G5JJN2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2/action/storage_attestation","attest_author":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2/action/author_attestation","sign_citation":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2/action/citation_signature","submit_replication":"https://pith.science/pith/I2V75L5ULPGIDEYLPMO3G5JJN2/action/replication_record"}},"created_at":"2026-05-18T00:58:25.406779+00:00","updated_at":"2026-05-18T00:58:25.406779+00:00"}