{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:TFQHPDUM76Y32Y4EXB3XT6KJOX","short_pith_number":"pith:TFQHPDUM","canonical_record":{"source":{"id":"2606.07726","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T17:03:19Z","cross_cats_sorted":[],"title_canon_sha256":"787381706b59b47d8d053798112de1b447f80aedba565208920392529fa3ecec","abstract_canon_sha256":"7ed04cab4757eb149bc8687ec89c816048a6054be2b7a557d44fd789a248885a"},"schema_version":"1.0"},"canonical_sha256":"9960778e8cffb1bd6384b87779f94975c10d50de0d627c1130ec6c008c47bfb2","source":{"kind":"arxiv","id":"2606.07726","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07726","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07726v1","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07726","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"pith_short_12","alias_value":"TFQHPDUM76Y3","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"pith_short_16","alias_value":"TFQHPDUM76Y32Y4E","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"pith_short_8","alias_value":"TFQHPDUM","created_at":"2026-06-09T01:04:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:TFQHPDUM76Y32Y4EXB3XT6KJOX","target":"record","payload":{"canonical_record":{"source":{"id":"2606.07726","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T17:03:19Z","cross_cats_sorted":[],"title_canon_sha256":"787381706b59b47d8d053798112de1b447f80aedba565208920392529fa3ecec","abstract_canon_sha256":"7ed04cab4757eb149bc8687ec89c816048a6054be2b7a557d44fd789a248885a"},"schema_version":"1.0"},"canonical_sha256":"9960778e8cffb1bd6384b87779f94975c10d50de0d627c1130ec6c008c47bfb2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:04:50.478940Z","signature_b64":"2z/LSI8iMNsiQfF4swJUdXycFX612TZ/vBfL9dg8cpsbdceSJfrt76pFtbd5naEI27g1TPZWa8wflkx99K4JBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9960778e8cffb1bd6384b87779f94975c10d50de0d627c1130ec6c008c47bfb2","last_reissued_at":"2026-06-09T01:04:50.478526Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:04:50.478526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.07726","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":"2026-06-09T01:04:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fe7jQtc3ZhyOk55EwjPMI4xkPdTJ7yxBr6WZlYhCPv6AXmjzulW0tlReww71vYJ7d3SgSvGmmUq0UED60wbSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:26:36.817197Z"},"content_sha256":"4c72335b9b9d186b5e4b152d2fd8da030b73e6f5184240e333075f1e9d19683d","schema_version":"1.0","event_id":"sha256:4c72335b9b9d186b5e4b152d2fd8da030b73e6f5184240e333075f1e9d19683d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:TFQHPDUM76Y32Y4EXB3XT6KJOX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Chahine Nejma, Fanny Yang, Florian E. Dorner, Tobias Wegel, Zifan Lyu","submitted_at":"2026-06-05T17:03:19Z","abstract_excerpt":"Large Language Models are typically benchmarked by evaluating every model on every test query. For practitioners seeking the best model to deploy, this is often wasteful: if a model clearly performs worse than others, there is no need to precisely estimate its performance. Best-arm identification algorithms can be naturally applied to drastically reduce costs by adaptively allocating evaluation budget. Further, language models often respond similarly to the same prompt-a property previous work has tried to leverage with mixed success. We propose Synchronized Successive Rejects (SySRs), augment"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07726","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/2606.07726/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":"2026-06-09T01:04:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GPZdBLxvQu/1DA7KAD8iYzP8u1SbRNtln6EyRZFLqsBfWwilwCmg2UCmpNnG506kltoBmXhqp08NbOU//STTBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:26:36.817599Z"},"content_sha256":"13830d37dc8c06fc3043b564789847be91d8753a3e635a8a9a727b9196080422","schema_version":"1.0","event_id":"sha256:13830d37dc8c06fc3043b564789847be91d8753a3e635a8a9a727b9196080422"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TFQHPDUM76Y32Y4EXB3XT6KJOX/bundle.json","state_url":"https://pith.science/pith/TFQHPDUM76Y32Y4EXB3XT6KJOX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TFQHPDUM76Y32Y4EXB3XT6KJOX/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":"2026-08-07T21:26:36Z","links":{"resolver":"https://pith.science/pith/TFQHPDUM76Y32Y4EXB3XT6KJOX","bundle":"https://pith.science/pith/TFQHPDUM76Y32Y4EXB3XT6KJOX/bundle.json","state":"https://pith.science/pith/TFQHPDUM76Y32Y4EXB3XT6KJOX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TFQHPDUM76Y32Y4EXB3XT6KJOX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TFQHPDUM76Y32Y4EXB3XT6KJOX","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":"7ed04cab4757eb149bc8687ec89c816048a6054be2b7a557d44fd789a248885a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T17:03:19Z","title_canon_sha256":"787381706b59b47d8d053798112de1b447f80aedba565208920392529fa3ecec"},"schema_version":"1.0","source":{"id":"2606.07726","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07726","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07726v1","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07726","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"pith_short_12","alias_value":"TFQHPDUM76Y3","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"pith_short_16","alias_value":"TFQHPDUM76Y32Y4E","created_at":"2026-06-09T01:04:50Z"},{"alias_kind":"pith_short_8","alias_value":"TFQHPDUM","created_at":"2026-06-09T01:04:50Z"}],"graph_snapshots":[{"event_id":"sha256:13830d37dc8c06fc3043b564789847be91d8753a3e635a8a9a727b9196080422","target":"graph","created_at":"2026-06-09T01:04:50Z","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/2606.07726/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models are typically benchmarked by evaluating every model on every test query. For practitioners seeking the best model to deploy, this is often wasteful: if a model clearly performs worse than others, there is no need to precisely estimate its performance. Best-arm identification algorithms can be naturally applied to drastically reduce costs by adaptively allocating evaluation budget. Further, language models often respond similarly to the same prompt-a property previous work has tried to leverage with mixed success. We propose Synchronized Successive Rejects (SySRs), augment","authors_text":"Chahine Nejma, Fanny Yang, Florian E. Dorner, Tobias Wegel, Zifan Lyu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T17:03:19Z","title":"Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07726","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":"sha256:4c72335b9b9d186b5e4b152d2fd8da030b73e6f5184240e333075f1e9d19683d","target":"record","created_at":"2026-06-09T01:04:50Z","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":"7ed04cab4757eb149bc8687ec89c816048a6054be2b7a557d44fd789a248885a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T17:03:19Z","title_canon_sha256":"787381706b59b47d8d053798112de1b447f80aedba565208920392529fa3ecec"},"schema_version":"1.0","source":{"id":"2606.07726","kind":"arxiv","version":1}},"canonical_sha256":"9960778e8cffb1bd6384b87779f94975c10d50de0d627c1130ec6c008c47bfb2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9960778e8cffb1bd6384b87779f94975c10d50de0d627c1130ec6c008c47bfb2","first_computed_at":"2026-06-09T01:04:50.478526Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:04:50.478526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2z/LSI8iMNsiQfF4swJUdXycFX612TZ/vBfL9dg8cpsbdceSJfrt76pFtbd5naEI27g1TPZWa8wflkx99K4JBw==","signature_status":"signed_v1","signed_at":"2026-06-09T01:04:50.478940Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.07726","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c72335b9b9d186b5e4b152d2fd8da030b73e6f5184240e333075f1e9d19683d","sha256:13830d37dc8c06fc3043b564789847be91d8753a3e635a8a9a727b9196080422"],"state_sha256":"123ef0f07549aa71010390946b148dce6d2ad9c352811265443e016307ee55f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"odo8VHajeT0c7qQlX/14vku1DDDWozLpToPo+RG4BEqijoVf9jJAUyAWr5eWlsGA8gfdOWW1DAAmFA9Q8AfgBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:26:36.820487Z","bundle_sha256":"081e17989b8ab9fea6a7256f31abc5671faa9b48be31e806c5b7d9c319db3113"}}