{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JJVWL4P74ZWC2EQYQ7XPQAZACX","short_pith_number":"pith:JJVWL4P7","canonical_record":{"source":{"id":"2607.22807","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-24T16:41:59Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"d6e6a75dc9871d67acca82fb4ed8354d21cf6125c1af6d0ba38af47f19d2e930","abstract_canon_sha256":"155b565ef93f14f2b91e101a37024db58ac256488a43d1903d56c53c0c0c1a4d"},"schema_version":"1.0"},"canonical_sha256":"4a6b65f1ffe66c2d121887eef8032015f594afa11b9c1a62eb54f955a9d91f58","source":{"kind":"arxiv","id":"2607.22807","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22807","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22807v1","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22807","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"pith_short_12","alias_value":"JJVWL4P74ZWC","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"pith_short_16","alias_value":"JJVWL4P74ZWC2EQY","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"pith_short_8","alias_value":"JJVWL4P7","created_at":"2026-07-28T00:21:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JJVWL4P74ZWC2EQYQ7XPQAZACX","target":"record","payload":{"canonical_record":{"source":{"id":"2607.22807","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-24T16:41:59Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"d6e6a75dc9871d67acca82fb4ed8354d21cf6125c1af6d0ba38af47f19d2e930","abstract_canon_sha256":"155b565ef93f14f2b91e101a37024db58ac256488a43d1903d56c53c0c0c1a4d"},"schema_version":"1.0"},"canonical_sha256":"4a6b65f1ffe66c2d121887eef8032015f594afa11b9c1a62eb54f955a9d91f58","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T00:21:55.443741Z","signature_b64":"Ca/nZWrd5lBgAdsjUDbpM/Dlz0/oiLONksSvM2dvoP71LgmTd/oHDi3Ukkv++pj4tY/hWtbM8geOoVmWXR/xCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a6b65f1ffe66c2d121887eef8032015f594afa11b9c1a62eb54f955a9d91f58","last_reissued_at":"2026-07-28T00:21:55.442926Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T00:21:55.442926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.22807","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":"2026-07-28T00:21:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nv6f00Dlqu+2UkOxGUK5mhruk3A/rYKCQTN+66rV7z6MQP34yfNVFTLzoaP10AlhMy9ypp0heuj90lkfuOUpDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:30:16.439141Z"},"content_sha256":"f4ecfbf5b2694edf7e8aa755dca554f5e28d9b04048c99743931218babacb7a1","schema_version":"1.0","event_id":"sha256:f4ecfbf5b2694edf7e8aa755dca554f5e28d9b04048c99743931218babacb7a1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JJVWL4P74ZWC2EQYQ7XPQAZACX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Best Programming Language for Tokenmaxxing: An Investigation of Coding Agent Behavior Across Programming Languages","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SE","authors_text":"Arjun Guha, Carolyn Jane Anderson, Zixuan Wu","submitted_at":"2026-07-24T16:41:59Z","abstract_excerpt":"Although coding agents are now very effective in a variety of programming languages, this paper first shows that the cost (in tokens) can very significantly by programming language. We evaluate five recent models on programming problems in Python, Java, Rust, and OCaml. We carefully control for problem difficulty, and show that there can be stark variation in token consumption that is consistent across models. To understand why, we analyze both the structure and content of agent trajectories. First, we re-execute every intermediate solution and abstract each trajectory as a sequence of test-ou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22807","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/2607.22807/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":"2026-07-28T00:21:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"22kvXJxhUUXqn5p6BZQjjwKz4SZRxCG4rz9GTps9W1uLageElvuO91TXnDNT6LsKJbLKOwNb2xQKLXRoshhZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:30:16.440149Z"},"content_sha256":"6b6f2040434ff615809cfe02fdd7e05863b8914ad47af54b7d10f093b80a21ad","schema_version":"1.0","event_id":"sha256:6b6f2040434ff615809cfe02fdd7e05863b8914ad47af54b7d10f093b80a21ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JJVWL4P74ZWC2EQYQ7XPQAZACX/bundle.json","state_url":"https://pith.science/pith/JJVWL4P74ZWC2EQYQ7XPQAZACX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JJVWL4P74ZWC2EQYQ7XPQAZACX/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":"2026-08-06T06:30:16Z","links":{"resolver":"https://pith.science/pith/JJVWL4P74ZWC2EQYQ7XPQAZACX","bundle":"https://pith.science/pith/JJVWL4P74ZWC2EQYQ7XPQAZACX/bundle.json","state":"https://pith.science/pith/JJVWL4P74ZWC2EQYQ7XPQAZACX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JJVWL4P74ZWC2EQYQ7XPQAZACX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JJVWL4P74ZWC2EQYQ7XPQAZACX","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":"155b565ef93f14f2b91e101a37024db58ac256488a43d1903d56c53c0c0c1a4d","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-24T16:41:59Z","title_canon_sha256":"d6e6a75dc9871d67acca82fb4ed8354d21cf6125c1af6d0ba38af47f19d2e930"},"schema_version":"1.0","source":{"id":"2607.22807","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22807","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22807v1","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22807","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"pith_short_12","alias_value":"JJVWL4P74ZWC","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"pith_short_16","alias_value":"JJVWL4P74ZWC2EQY","created_at":"2026-07-28T00:21:55Z"},{"alias_kind":"pith_short_8","alias_value":"JJVWL4P7","created_at":"2026-07-28T00:21:55Z"}],"graph_snapshots":[{"event_id":"sha256:6b6f2040434ff615809cfe02fdd7e05863b8914ad47af54b7d10f093b80a21ad","target":"graph","created_at":"2026-07-28T00:21:55Z","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/2607.22807/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although coding agents are now very effective in a variety of programming languages, this paper first shows that the cost (in tokens) can very significantly by programming language. We evaluate five recent models on programming problems in Python, Java, Rust, and OCaml. We carefully control for problem difficulty, and show that there can be stark variation in token consumption that is consistent across models. To understand why, we analyze both the structure and content of agent trajectories. First, we re-execute every intermediate solution and abstract each trajectory as a sequence of test-ou","authors_text":"Arjun Guha, Carolyn Jane Anderson, Zixuan Wu","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-24T16:41:59Z","title":"The Best Programming Language for Tokenmaxxing: An Investigation of Coding Agent Behavior Across Programming Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22807","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:f4ecfbf5b2694edf7e8aa755dca554f5e28d9b04048c99743931218babacb7a1","target":"record","created_at":"2026-07-28T00:21:55Z","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":"155b565ef93f14f2b91e101a37024db58ac256488a43d1903d56c53c0c0c1a4d","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-24T16:41:59Z","title_canon_sha256":"d6e6a75dc9871d67acca82fb4ed8354d21cf6125c1af6d0ba38af47f19d2e930"},"schema_version":"1.0","source":{"id":"2607.22807","kind":"arxiv","version":1}},"canonical_sha256":"4a6b65f1ffe66c2d121887eef8032015f594afa11b9c1a62eb54f955a9d91f58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a6b65f1ffe66c2d121887eef8032015f594afa11b9c1a62eb54f955a9d91f58","first_computed_at":"2026-07-28T00:21:55.442926Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T00:21:55.442926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ca/nZWrd5lBgAdsjUDbpM/Dlz0/oiLONksSvM2dvoP71LgmTd/oHDi3Ukkv++pj4tY/hWtbM8geOoVmWXR/xCQ==","signature_status":"signed_v1","signed_at":"2026-07-28T00:21:55.443741Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.22807","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4ecfbf5b2694edf7e8aa755dca554f5e28d9b04048c99743931218babacb7a1","sha256:6b6f2040434ff615809cfe02fdd7e05863b8914ad47af54b7d10f093b80a21ad"],"state_sha256":"6b38bbc520c7a1c77ff2c1bc14f6b96ceb49893919215b22b53610864c95d2b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TtsI4fLLTie0MVO78abRTUcco3nccGLF0r7Mv0tlUED1A3UebEDsK9ytp9MvA2T4+d15eSLYsdSf/tiUKYh5BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T06:30:16.447145Z","bundle_sha256":"baaf031afccf406010513cbd29c0059f46f570a06be65c49e65b85859f4ca600"}}