{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DSRLX3GUY7WQBZ3UK4MLGVKOVM","short_pith_number":"pith:DSRLX3GU","canonical_record":{"source":{"id":"2404.17023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-04-25T20:28:43Z","cross_cats_sorted":["cs.LG","math.IT"],"title_canon_sha256":"3a198ba8730837da4e930993d8f1c7877e5b764220d8eee474c02b948f6aa244","abstract_canon_sha256":"d22fb78ccc9e35b6879385a8ad37b2b328225d9b0f0c3b093d97e068b27fa46b"},"schema_version":"1.0"},"canonical_sha256":"1ca2bbecd4c7ed00e7745718b3554eab31d460a567afeede6b117215eb9a5178","source":{"kind":"arxiv","id":"2404.17023","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17023","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17023v1","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17023","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"pith_short_12","alias_value":"DSRLX3GUY7WQ","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"pith_short_16","alias_value":"DSRLX3GUY7WQBZ3U","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"pith_short_8","alias_value":"DSRLX3GU","created_at":"2026-07-05T08:12:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DSRLX3GUY7WQBZ3UK4MLGVKOVM","target":"record","payload":{"canonical_record":{"source":{"id":"2404.17023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-04-25T20:28:43Z","cross_cats_sorted":["cs.LG","math.IT"],"title_canon_sha256":"3a198ba8730837da4e930993d8f1c7877e5b764220d8eee474c02b948f6aa244","abstract_canon_sha256":"d22fb78ccc9e35b6879385a8ad37b2b328225d9b0f0c3b093d97e068b27fa46b"},"schema_version":"1.0"},"canonical_sha256":"1ca2bbecd4c7ed00e7745718b3554eab31d460a567afeede6b117215eb9a5178","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:18.558664Z","signature_b64":"WTTcmy2KjQmyJkhvzsR9TJuRVMCO8VXIDzWq7B+cYEkmOkaNXR+/XXmYOUb7qKIdC+JOW9mByd6aO+mM1WkwCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ca2bbecd4c7ed00e7745718b3554eab31d460a567afeede6b117215eb9a5178","last_reissued_at":"2026-07-05T08:12:18.558169Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:18.558169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.17023","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":"2026-07-05T08:12:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8rlhfQJLMYjX3PXaW5IP9eNZONK7PNElw3GKOs7Mru+c5zLV8cH7Ia2LLvJJ2K5URb3Ose4UOkN9RID6MOKXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T07:00:35.082371Z"},"content_sha256":"d50cf5e22abd5ffa56e9a1adda3163693f8e8f6ca2d0583f55397f2fa2189f9e","schema_version":"1.0","event_id":"sha256:d50cf5e22abd5ffa56e9a1adda3163693f8e8f6ca2d0583f55397f2fa2189f9e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DSRLX3GUY7WQBZ3UK4MLGVKOVM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Out-of-Distribution Detection using Maximum Entropy Coding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","math.IT"],"primary_cat":"cs.IT","authors_text":"Anders H{\\o}st-Madsen, Andras Bratincsak, June Zhang, Mohammad Zaeri Amirani, Mojtaba Abolfazli","submitted_at":"2024-04-25T20:28:43Z","abstract_excerpt":"Given a default distribution $P$ and a set of test data $x^M=\\{x_1,x_2,\\ldots,x_M\\}$ this paper seeks to answer the question if it was likely that $x^M$ was generated by $P$. For discrete distributions, the definitive answer is in principle given by Kolmogorov-Martin-L\\\"{o}f randomness. In this paper we seek to generalize this to continuous distributions. We consider a set of statistics $T_1(x^M),T_2(x^M),\\ldots$. To each statistic we associate its maximum entropy distribution and with this a universal source coder. The maximum entropy distributions are subsequently combined to give a total co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17023","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/2404.17023/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":"2026-07-05T08:12:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9K58dmMc1VrB/x9Q+G8HuAK6MouknvrI/FuJYP6QUCytjLsPqPV+jDkl/K7+VI2mnxIaocKn6GoaWy1UgznLCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T07:00:35.083294Z"},"content_sha256":"cfb187c9f7177fd56e781bffb371a506b81ae83195766d6569b15976c22f70b9","schema_version":"1.0","event_id":"sha256:cfb187c9f7177fd56e781bffb371a506b81ae83195766d6569b15976c22f70b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DSRLX3GUY7WQBZ3UK4MLGVKOVM/bundle.json","state_url":"https://pith.science/pith/DSRLX3GUY7WQBZ3UK4MLGVKOVM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DSRLX3GUY7WQBZ3UK4MLGVKOVM/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":"2026-07-20T07:00:35Z","links":{"resolver":"https://pith.science/pith/DSRLX3GUY7WQBZ3UK4MLGVKOVM","bundle":"https://pith.science/pith/DSRLX3GUY7WQBZ3UK4MLGVKOVM/bundle.json","state":"https://pith.science/pith/DSRLX3GUY7WQBZ3UK4MLGVKOVM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DSRLX3GUY7WQBZ3UK4MLGVKOVM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DSRLX3GUY7WQBZ3UK4MLGVKOVM","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":"d22fb78ccc9e35b6879385a8ad37b2b328225d9b0f0c3b093d97e068b27fa46b","cross_cats_sorted":["cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-04-25T20:28:43Z","title_canon_sha256":"3a198ba8730837da4e930993d8f1c7877e5b764220d8eee474c02b948f6aa244"},"schema_version":"1.0","source":{"id":"2404.17023","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.17023","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"arxiv_version","alias_value":"2404.17023v1","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.17023","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"pith_short_12","alias_value":"DSRLX3GUY7WQ","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"pith_short_16","alias_value":"DSRLX3GUY7WQBZ3U","created_at":"2026-07-05T08:12:18Z"},{"alias_kind":"pith_short_8","alias_value":"DSRLX3GU","created_at":"2026-07-05T08:12:18Z"}],"graph_snapshots":[{"event_id":"sha256:cfb187c9f7177fd56e781bffb371a506b81ae83195766d6569b15976c22f70b9","target":"graph","created_at":"2026-07-05T08:12:18Z","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/2404.17023/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Given a default distribution $P$ and a set of test data $x^M=\\{x_1,x_2,\\ldots,x_M\\}$ this paper seeks to answer the question if it was likely that $x^M$ was generated by $P$. For discrete distributions, the definitive answer is in principle given by Kolmogorov-Martin-L\\\"{o}f randomness. In this paper we seek to generalize this to continuous distributions. We consider a set of statistics $T_1(x^M),T_2(x^M),\\ldots$. To each statistic we associate its maximum entropy distribution and with this a universal source coder. The maximum entropy distributions are subsequently combined to give a total co","authors_text":"Anders H{\\o}st-Madsen, Andras Bratincsak, June Zhang, Mohammad Zaeri Amirani, Mojtaba Abolfazli","cross_cats":["cs.LG","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-04-25T20:28:43Z","title":"Out-of-Distribution Detection using Maximum Entropy Coding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.17023","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:d50cf5e22abd5ffa56e9a1adda3163693f8e8f6ca2d0583f55397f2fa2189f9e","target":"record","created_at":"2026-07-05T08:12:18Z","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":"d22fb78ccc9e35b6879385a8ad37b2b328225d9b0f0c3b093d97e068b27fa46b","cross_cats_sorted":["cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-04-25T20:28:43Z","title_canon_sha256":"3a198ba8730837da4e930993d8f1c7877e5b764220d8eee474c02b948f6aa244"},"schema_version":"1.0","source":{"id":"2404.17023","kind":"arxiv","version":1}},"canonical_sha256":"1ca2bbecd4c7ed00e7745718b3554eab31d460a567afeede6b117215eb9a5178","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ca2bbecd4c7ed00e7745718b3554eab31d460a567afeede6b117215eb9a5178","first_computed_at":"2026-07-05T08:12:18.558169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:12:18.558169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WTTcmy2KjQmyJkhvzsR9TJuRVMCO8VXIDzWq7B+cYEkmOkaNXR+/XXmYOUb7qKIdC+JOW9mByd6aO+mM1WkwCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:12:18.558664Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.17023","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d50cf5e22abd5ffa56e9a1adda3163693f8e8f6ca2d0583f55397f2fa2189f9e","sha256:cfb187c9f7177fd56e781bffb371a506b81ae83195766d6569b15976c22f70b9"],"state_sha256":"9151b97d3fc4721805ae1c6f9ad1e302190a97e3d0a0fc90ecfaef06906579f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F7Eqh9UQvQNHMJ84isJnauUL1lT2PMe6hdXJNIfmT0KhU0Mihq7iRdTDEer8BrwsCx3opDqCeWcAwpbQWA9LCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-20T07:00:35.085651Z","bundle_sha256":"c810e67c606c0df943ea9692495082baed75783162976dd2004bb7a299b5392e"}}