{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:U6UNPY72K6BE5UM6MYKFEN3HW4","short_pith_number":"pith:U6UNPY72","canonical_record":{"source":{"id":"2607.08221","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T08:16:14Z","cross_cats_sorted":[],"title_canon_sha256":"5c593e571a0fb45fdd9c277944aaaba83158ce58d64cbe6d408e0fb4c15df758","abstract_canon_sha256":"c3988844250584f6ebe41cd272ccda7c30fd07e0ff5be5f42958e5748e20c80f"},"schema_version":"1.0"},"canonical_sha256":"a7a8d7e3fa57824ed19e6614523767b71410ef7a90e6913ab5c990630317f0fa","source":{"kind":"arxiv","id":"2607.08221","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08221","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08221v1","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08221","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"pith_short_12","alias_value":"U6UNPY72K6BE","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"pith_short_16","alias_value":"U6UNPY72K6BE5UM6","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"pith_short_8","alias_value":"U6UNPY72","created_at":"2026-07-10T01:19:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:U6UNPY72K6BE5UM6MYKFEN3HW4","target":"record","payload":{"canonical_record":{"source":{"id":"2607.08221","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T08:16:14Z","cross_cats_sorted":[],"title_canon_sha256":"5c593e571a0fb45fdd9c277944aaaba83158ce58d64cbe6d408e0fb4c15df758","abstract_canon_sha256":"c3988844250584f6ebe41cd272ccda7c30fd07e0ff5be5f42958e5748e20c80f"},"schema_version":"1.0"},"canonical_sha256":"a7a8d7e3fa57824ed19e6614523767b71410ef7a90e6913ab5c990630317f0fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-10T01:19:30.054600Z","signature_b64":"rNirlsm6wqBDbFjvxiRlHGAF405tf0C4ORzy/Fhbpd8oaM1lZrU0GM3G7CB5YdPIBHH7c/PJTCL92Bd2lproAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7a8d7e3fa57824ed19e6614523767b71410ef7a90e6913ab5c990630317f0fa","last_reissued_at":"2026-07-10T01:19:30.054159Z","signature_status":"signed_v1","first_computed_at":"2026-07-10T01:19:30.054159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.08221","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":"2026-07-10T01:19:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wwu/Q14QpLiaxKtUUWaXkoQRGAz32FsK6iJubaMU9ySJxT1CZKF2Zf7gWzu6oH2HDZRGBRBAIAFtVOr8fV3jBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T08:49:35.203117Z"},"content_sha256":"eddeac0e80ac251c37968a4ad83b6a4c36b9f058dcf71279dc4eceeada6a15a1","schema_version":"1.0","event_id":"sha256:eddeac0e80ac251c37968a4ad83b6a4c36b9f058dcf71279dc4eceeada6a15a1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:U6UNPY72K6BE5UM6MYKFEN3HW4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengkai Wu, Chris Xing Tian, Haoliang Li, Kecheng Chen, Rongqun Lin, Shiqi Wang, Siwei Ma, Xiandong Meng, Ziyu Wang","submitted_at":"2026-07-09T08:16:14Z","abstract_excerpt":"Large language model (LLM)-based lossless image compression methods typically represent pixel data through the native text interface of a pretrained model, converting pixel values into token sequences that the LLM processes through its vocabulary head. This design shows that pretrained language models can provide probability estimates for image coding, but it also couples compression to tokenizer behavior, vocabulary-specific numeric tokens, and model-family-specific adaptation. In this paper, we present LUMI (LLM-based Unified Model-agnostic lossless Image compression), a tokenizer-agnostic f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08221","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/2607.08221/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":"2026-07-10T01:19:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mof6wpc6HMJPZpAcNW4uLxmeup7tcyJqCsf/qaYuebX+SIxR3BAcUhOzB0K3F8gZf/dlClZ3gronyuaAiWXyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T08:49:35.203422Z"},"content_sha256":"326bf2b3aa7bb21978776098d952fac9b4036ef709c690cd769347d4ca1d8967","schema_version":"1.0","event_id":"sha256:326bf2b3aa7bb21978776098d952fac9b4036ef709c690cd769347d4ca1d8967"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U6UNPY72K6BE5UM6MYKFEN3HW4/bundle.json","state_url":"https://pith.science/pith/U6UNPY72K6BE5UM6MYKFEN3HW4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U6UNPY72K6BE5UM6MYKFEN3HW4/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":"2026-08-01T08:49:35Z","links":{"resolver":"https://pith.science/pith/U6UNPY72K6BE5UM6MYKFEN3HW4","bundle":"https://pith.science/pith/U6UNPY72K6BE5UM6MYKFEN3HW4/bundle.json","state":"https://pith.science/pith/U6UNPY72K6BE5UM6MYKFEN3HW4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U6UNPY72K6BE5UM6MYKFEN3HW4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:U6UNPY72K6BE5UM6MYKFEN3HW4","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":"c3988844250584f6ebe41cd272ccda7c30fd07e0ff5be5f42958e5748e20c80f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T08:16:14Z","title_canon_sha256":"5c593e571a0fb45fdd9c277944aaaba83158ce58d64cbe6d408e0fb4c15df758"},"schema_version":"1.0","source":{"id":"2607.08221","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08221","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08221v1","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08221","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"pith_short_12","alias_value":"U6UNPY72K6BE","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"pith_short_16","alias_value":"U6UNPY72K6BE5UM6","created_at":"2026-07-10T01:19:30Z"},{"alias_kind":"pith_short_8","alias_value":"U6UNPY72","created_at":"2026-07-10T01:19:30Z"}],"graph_snapshots":[{"event_id":"sha256:326bf2b3aa7bb21978776098d952fac9b4036ef709c690cd769347d4ca1d8967","target":"graph","created_at":"2026-07-10T01:19:30Z","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/2607.08221/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language model (LLM)-based lossless image compression methods typically represent pixel data through the native text interface of a pretrained model, converting pixel values into token sequences that the LLM processes through its vocabulary head. This design shows that pretrained language models can provide probability estimates for image coding, but it also couples compression to tokenizer behavior, vocabulary-specific numeric tokens, and model-family-specific adaptation. In this paper, we present LUMI (LLM-based Unified Model-agnostic lossless Image compression), a tokenizer-agnostic f","authors_text":"Chengkai Wu, Chris Xing Tian, Haoliang Li, Kecheng Chen, Rongqun Lin, Shiqi Wang, Siwei Ma, Xiandong Meng, Ziyu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T08:16:14Z","title":"LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08221","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:eddeac0e80ac251c37968a4ad83b6a4c36b9f058dcf71279dc4eceeada6a15a1","target":"record","created_at":"2026-07-10T01:19:30Z","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":"c3988844250584f6ebe41cd272ccda7c30fd07e0ff5be5f42958e5748e20c80f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-09T08:16:14Z","title_canon_sha256":"5c593e571a0fb45fdd9c277944aaaba83158ce58d64cbe6d408e0fb4c15df758"},"schema_version":"1.0","source":{"id":"2607.08221","kind":"arxiv","version":1}},"canonical_sha256":"a7a8d7e3fa57824ed19e6614523767b71410ef7a90e6913ab5c990630317f0fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7a8d7e3fa57824ed19e6614523767b71410ef7a90e6913ab5c990630317f0fa","first_computed_at":"2026-07-10T01:19:30.054159Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:30.054159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rNirlsm6wqBDbFjvxiRlHGAF405tf0C4ORzy/Fhbpd8oaM1lZrU0GM3G7CB5YdPIBHH7c/PJTCL92Bd2lproAg==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:30.054600Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08221","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eddeac0e80ac251c37968a4ad83b6a4c36b9f058dcf71279dc4eceeada6a15a1","sha256:326bf2b3aa7bb21978776098d952fac9b4036ef709c690cd769347d4ca1d8967"],"state_sha256":"3407a26cbfa2219295734ef34dab8de8d8730ebcb8397216e7d2577d9057dd83"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WxAwz8SV928OLjT4IDyoYCCZCqB5PxkmqQv34sEMmIVYPw3IuLNoVyu0483M94ylMzSieP3MXXzh65mcs1U8Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T08:49:35.206661Z","bundle_sha256":"fe9ae9c404fff95954301d59029996e4e2b755ab41a8544f47082e79430ca0f0"}}