{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PKEFV6LJBTTWOIPXBSBL6XOUT6","short_pith_number":"pith:PKEFV6LJ","canonical_record":{"source":{"id":"2601.22787","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-30T10:08:15Z","cross_cats_sorted":[],"title_canon_sha256":"c123bf33bd3f81ab3ee33073ed81f0f33e5300203df45ca655c58a9dbcbcc54e","abstract_canon_sha256":"54b9cedbdda06b9794dc8e281bf4a4fe3bfd67fc2a898459c2e0f8e34015bc14"},"schema_version":"1.0"},"canonical_sha256":"7a885af9690ce76721f70c82bf5dd49f8086a952e7f940189528906dfc8b5897","source":{"kind":"arxiv","id":"2601.22787","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.22787","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2601.22787v2","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.22787","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"PKEFV6LJBTTW","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"PKEFV6LJBTTWOIPX","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"PKEFV6LJ","created_at":"2026-06-01T01:02:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PKEFV6LJBTTWOIPXBSBL6XOUT6","target":"record","payload":{"canonical_record":{"source":{"id":"2601.22787","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-30T10:08:15Z","cross_cats_sorted":[],"title_canon_sha256":"c123bf33bd3f81ab3ee33073ed81f0f33e5300203df45ca655c58a9dbcbcc54e","abstract_canon_sha256":"54b9cedbdda06b9794dc8e281bf4a4fe3bfd67fc2a898459c2e0f8e34015bc14"},"schema_version":"1.0"},"canonical_sha256":"7a885af9690ce76721f70c82bf5dd49f8086a952e7f940189528906dfc8b5897","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:02:30.991128Z","signature_b64":"gT1eZ1xC/R0rXSxkbtMd7b7bB2d2FhZUKetsjuLwqXLSTjo5+lHDZVPLi0KiROEAtGNUYkBAxoh2WPjmRZsrCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a885af9690ce76721f70c82bf5dd49f8086a952e7f940189528906dfc8b5897","last_reissued_at":"2026-06-01T01:02:30.989967Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:02:30.989967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.22787","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":"2026-06-01T01:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8uWwZ23KvMOWLNRKILyl21gh5o7Ly+xq1HZSBqR8uqz0Me5QHH9eupPmkoW8ClqzuE2+2K/A/S1tmgqfPW0FCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T21:47:20.442223Z"},"content_sha256":"c06d54aa1ef4924b79c5254ea2ce49dfa84769385ac654edab90a3eacadd20aa","schema_version":"1.0","event_id":"sha256:c06d54aa1ef4924b79c5254ea2ce49dfa84769385ac654edab90a3eacadd20aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PKEFV6LJBTTWOIPXBSBL6XOUT6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Float8@2bits: Entropy Coding Enables Data-Free Model Compression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Martin Genzel, Mattes Mollenhauer, Patrick Putzky, Sebastian Schulze, Stefan Dietzel, Thomas Wollmann","submitted_at":"2026-01-30T10:08:15Z","abstract_excerpt":"Post-training compression is currently divided into two contrasting regimes. On the one hand, fast, data-free, and model-agnostic methods (e.g., NF4 or HQQ) offer maximum accessibility but suffer from functional collapse at extreme bit-rates below 4 bits. On the other hand, techniques leveraging calibration data or extensive recovery training achieve superior fidelity but impose high computational constraints and face uncertain robustness under data distribution shifts. We introduce EntQuant, a framework that unites the advantages of these distinct paradigms. By matching the performance of dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.22787","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/2601.22787/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":"2026-06-01T01:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Zcd78y1LKUd9A6vnMZQ9hF2hECaJ2RN+skHcFdbQy02qsHof84GV9/jsmpSsl3ct+4y/CyGwvZUziBnWGdeAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T21:47:20.442619Z"},"content_sha256":"3d7cd607d77ece789fecb52dc6767b98601f8cbf4fd19d555567c401cf8660ad","schema_version":"1.0","event_id":"sha256:3d7cd607d77ece789fecb52dc6767b98601f8cbf4fd19d555567c401cf8660ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PKEFV6LJBTTWOIPXBSBL6XOUT6/bundle.json","state_url":"https://pith.science/pith/PKEFV6LJBTTWOIPXBSBL6XOUT6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PKEFV6LJBTTWOIPXBSBL6XOUT6/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":"2026-06-10T21:47:20Z","links":{"resolver":"https://pith.science/pith/PKEFV6LJBTTWOIPXBSBL6XOUT6","bundle":"https://pith.science/pith/PKEFV6LJBTTWOIPXBSBL6XOUT6/bundle.json","state":"https://pith.science/pith/PKEFV6LJBTTWOIPXBSBL6XOUT6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PKEFV6LJBTTWOIPXBSBL6XOUT6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PKEFV6LJBTTWOIPXBSBL6XOUT6","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":"54b9cedbdda06b9794dc8e281bf4a4fe3bfd67fc2a898459c2e0f8e34015bc14","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-30T10:08:15Z","title_canon_sha256":"c123bf33bd3f81ab3ee33073ed81f0f33e5300203df45ca655c58a9dbcbcc54e"},"schema_version":"1.0","source":{"id":"2601.22787","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.22787","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2601.22787v2","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.22787","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"PKEFV6LJBTTW","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"PKEFV6LJBTTWOIPX","created_at":"2026-06-01T01:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"PKEFV6LJ","created_at":"2026-06-01T01:02:30Z"}],"graph_snapshots":[{"event_id":"sha256:3d7cd607d77ece789fecb52dc6767b98601f8cbf4fd19d555567c401cf8660ad","target":"graph","created_at":"2026-06-01T01:02:30Z","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/2601.22787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Post-training compression is currently divided into two contrasting regimes. On the one hand, fast, data-free, and model-agnostic methods (e.g., NF4 or HQQ) offer maximum accessibility but suffer from functional collapse at extreme bit-rates below 4 bits. On the other hand, techniques leveraging calibration data or extensive recovery training achieve superior fidelity but impose high computational constraints and face uncertain robustness under data distribution shifts. We introduce EntQuant, a framework that unites the advantages of these distinct paradigms. By matching the performance of dat","authors_text":"Martin Genzel, Mattes Mollenhauer, Patrick Putzky, Sebastian Schulze, Stefan Dietzel, Thomas Wollmann","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-30T10:08:15Z","title":"Float8@2bits: Entropy Coding Enables Data-Free Model Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.22787","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:c06d54aa1ef4924b79c5254ea2ce49dfa84769385ac654edab90a3eacadd20aa","target":"record","created_at":"2026-06-01T01:02:30Z","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":"54b9cedbdda06b9794dc8e281bf4a4fe3bfd67fc2a898459c2e0f8e34015bc14","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-30T10:08:15Z","title_canon_sha256":"c123bf33bd3f81ab3ee33073ed81f0f33e5300203df45ca655c58a9dbcbcc54e"},"schema_version":"1.0","source":{"id":"2601.22787","kind":"arxiv","version":2}},"canonical_sha256":"7a885af9690ce76721f70c82bf5dd49f8086a952e7f940189528906dfc8b5897","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a885af9690ce76721f70c82bf5dd49f8086a952e7f940189528906dfc8b5897","first_computed_at":"2026-06-01T01:02:30.989967Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:02:30.989967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gT1eZ1xC/R0rXSxkbtMd7b7bB2d2FhZUKetsjuLwqXLSTjo5+lHDZVPLi0KiROEAtGNUYkBAxoh2WPjmRZsrCQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:02:30.991128Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.22787","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c06d54aa1ef4924b79c5254ea2ce49dfa84769385ac654edab90a3eacadd20aa","sha256:3d7cd607d77ece789fecb52dc6767b98601f8cbf4fd19d555567c401cf8660ad"],"state_sha256":"181542071ff5f4d31346067497e462c34ca33ee2a7d421918729029c78f2ee2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iN11bHkrQYQe6ECsa0pdzhhdu7iwQPHzYmLljRIFXHg0jTPp2QmbMX80fh/pCU9NSxGz7VOe7tCytVt1+cdwAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T21:47:20.444653Z","bundle_sha256":"eb9c17152396942255ecfc0de0ae8f08d05300850118d04a7a8116e2648b1904"}}