{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Z2WSMZUQZSBFXGER4UMWY66RXQ","short_pith_number":"pith:Z2WSMZUQ","canonical_record":{"source":{"id":"2506.02739","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T10:53:29Z","cross_cats_sorted":[],"title_canon_sha256":"c0c9ca1802944298154230bcbbabc684a3bbf3d734bbac8c563342cc244b2ae7","abstract_canon_sha256":"1f2e16236a0dc8a168f9b768885e9fdede1c2ee512d1e203245d5f8f32f1c8bb"},"schema_version":"1.0"},"canonical_sha256":"cead266690cc825b9891e5196c7bd1bc19b8bc82acda6a359562377080333f8e","source":{"kind":"arxiv","id":"2506.02739","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02739","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02739v1","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02739","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_12","alias_value":"Z2WSMZUQZSBF","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_16","alias_value":"Z2WSMZUQZSBFXGER","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_8","alias_value":"Z2WSMZUQ","created_at":"2026-07-05T11:15:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Z2WSMZUQZSBFXGER4UMWY66RXQ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02739","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T10:53:29Z","cross_cats_sorted":[],"title_canon_sha256":"c0c9ca1802944298154230bcbbabc684a3bbf3d734bbac8c563342cc244b2ae7","abstract_canon_sha256":"1f2e16236a0dc8a168f9b768885e9fdede1c2ee512d1e203245d5f8f32f1c8bb"},"schema_version":"1.0"},"canonical_sha256":"cead266690cc825b9891e5196c7bd1bc19b8bc82acda6a359562377080333f8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:07.442784Z","signature_b64":"G11KyMRbLGCq8Aw1XbdceWD/57bBS6i24U9V6xlTwExIsBGRghafZBdQaRD7kbojsmQeMsF9zyzjBx/NYf6dDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cead266690cc825b9891e5196c7bd1bc19b8bc82acda6a359562377080333f8e","last_reissued_at":"2026-07-05T11:15:07.442289Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:07.442289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02739","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":"2026-07-05T11:15:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RVqXVLNlBShdVcVmEHuwvf5UJdDvQAqM/6GLK0JJtD8yVTfJeFBVNEEXT4H28TXyPv4fLLf9ZktZ1vy12hK2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:31:00.177340Z"},"content_sha256":"e0b9f2553a8669ea6e476850b71491b349ba14aa34cbedc15887c3509d208c67","schema_version":"1.0","event_id":"sha256:e0b9f2553a8669ea6e476850b71491b349ba14aa34cbedc15887c3509d208c67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Z2WSMZUQZSBFXGER4UMWY66RXQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Why do AI agents communicate in human language?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Halimulati Julaiti, Pengcheng Zhou, Yinglun Feng, Zhongliang Yang","submitted_at":"2025-06-03T10:53:29Z","abstract_excerpt":"Large Language Models (LLMs) have become foundational to modern AI agent systems, enabling autonomous agents to reason and plan. In most existing systems, inter-agent communication relies primarily on natural language. While this design supports interpretability and human oversight, we argue that it introduces fundamental limitations in agent-to-agent coordination. The semantic space of natural language is structurally misaligned with the high-dimensional vector spaces in which LLMs operate, resulting in information loss and behavioral drift. Beyond surface-level inefficiencies, we highlight a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02739","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/2506.02739/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":"2026-07-05T11:15:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1iu4fMR3p9BDV5GhZoJO6lfbNFawcTIBs34wna3qE/bG22Va4HEw/giUvvF+4VDYPUYxoDLZNgQMnzBXbCBNBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:31:00.178177Z"},"content_sha256":"1db61af88d50b5c50b9062d7375661bf6d2881fd425713d956ee838bd8047f23","schema_version":"1.0","event_id":"sha256:1db61af88d50b5c50b9062d7375661bf6d2881fd425713d956ee838bd8047f23"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z2WSMZUQZSBFXGER4UMWY66RXQ/bundle.json","state_url":"https://pith.science/pith/Z2WSMZUQZSBFXGER4UMWY66RXQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z2WSMZUQZSBFXGER4UMWY66RXQ/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":"2026-08-09T14:31:00Z","links":{"resolver":"https://pith.science/pith/Z2WSMZUQZSBFXGER4UMWY66RXQ","bundle":"https://pith.science/pith/Z2WSMZUQZSBFXGER4UMWY66RXQ/bundle.json","state":"https://pith.science/pith/Z2WSMZUQZSBFXGER4UMWY66RXQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z2WSMZUQZSBFXGER4UMWY66RXQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z2WSMZUQZSBFXGER4UMWY66RXQ","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":"1f2e16236a0dc8a168f9b768885e9fdede1c2ee512d1e203245d5f8f32f1c8bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T10:53:29Z","title_canon_sha256":"c0c9ca1802944298154230bcbbabc684a3bbf3d734bbac8c563342cc244b2ae7"},"schema_version":"1.0","source":{"id":"2506.02739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02739","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02739v1","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02739","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_12","alias_value":"Z2WSMZUQZSBF","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_16","alias_value":"Z2WSMZUQZSBFXGER","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_8","alias_value":"Z2WSMZUQ","created_at":"2026-07-05T11:15:07Z"}],"graph_snapshots":[{"event_id":"sha256:1db61af88d50b5c50b9062d7375661bf6d2881fd425713d956ee838bd8047f23","target":"graph","created_at":"2026-07-05T11:15:07Z","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/2506.02739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have become foundational to modern AI agent systems, enabling autonomous agents to reason and plan. In most existing systems, inter-agent communication relies primarily on natural language. While this design supports interpretability and human oversight, we argue that it introduces fundamental limitations in agent-to-agent coordination. The semantic space of natural language is structurally misaligned with the high-dimensional vector spaces in which LLMs operate, resulting in information loss and behavioral drift. Beyond surface-level inefficiencies, we highlight a","authors_text":"Halimulati Julaiti, Pengcheng Zhou, Yinglun Feng, Zhongliang Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T10:53:29Z","title":"Why do AI agents communicate in human language?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02739","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:e0b9f2553a8669ea6e476850b71491b349ba14aa34cbedc15887c3509d208c67","target":"record","created_at":"2026-07-05T11:15:07Z","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":"1f2e16236a0dc8a168f9b768885e9fdede1c2ee512d1e203245d5f8f32f1c8bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T10:53:29Z","title_canon_sha256":"c0c9ca1802944298154230bcbbabc684a3bbf3d734bbac8c563342cc244b2ae7"},"schema_version":"1.0","source":{"id":"2506.02739","kind":"arxiv","version":1}},"canonical_sha256":"cead266690cc825b9891e5196c7bd1bc19b8bc82acda6a359562377080333f8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cead266690cc825b9891e5196c7bd1bc19b8bc82acda6a359562377080333f8e","first_computed_at":"2026-07-05T11:15:07.442289Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:07.442289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G11KyMRbLGCq8Aw1XbdceWD/57bBS6i24U9V6xlTwExIsBGRghafZBdQaRD7kbojsmQeMsF9zyzjBx/NYf6dDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:07.442784Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0b9f2553a8669ea6e476850b71491b349ba14aa34cbedc15887c3509d208c67","sha256:1db61af88d50b5c50b9062d7375661bf6d2881fd425713d956ee838bd8047f23"],"state_sha256":"20ffc19e603b3aee624d455a2d3cca0738abf55dbff9f6c873fa40fa6aba29b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e61yoaqsD6Lw5pfZMRHSMKqwEf2mnusSFuXUnH/9RAR2UH0+GqebAd0nhjEFkv9AMJUtPoE5V13H1VeEjt7sAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T14:31:00.186380Z","bundle_sha256":"78f68608bdecd7a9ee527b0863984f20f0519c7487bbf5a6f3945b20ea65c667"}}