{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4CVHH6S6PWOGCC2KPXSTXQ67Y7","short_pith_number":"pith:4CVHH6S6","canonical_record":{"source":{"id":"2608.13317","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T14:40:59Z","cross_cats_sorted":[],"title_canon_sha256":"f49e23bee13233a9ec99381f83a3c54bdfd64f10e86dbb2eb8cd17a8505849a9","abstract_canon_sha256":"9249e9b998bd4e32a9b6040e67f6b1159338b0a3179fd0e8ac6bcd40c43d9713"},"schema_version":"1.0"},"canonical_sha256":"e0aa73fa5e7d9c610b4a7de53bc3dfc7d62921cf91ae81e1fd8f2b9a81d4e3c0","source":{"kind":"arxiv","id":"2608.13317","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13317","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13317v1","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13317","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"pith_short_12","alias_value":"4CVHH6S6PWOG","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"pith_short_16","alias_value":"4CVHH6S6PWOGCC2K","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"pith_short_8","alias_value":"4CVHH6S6","created_at":"2026-08-14T01:04:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4CVHH6S6PWOGCC2KPXSTXQ67Y7","target":"record","payload":{"canonical_record":{"source":{"id":"2608.13317","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T14:40:59Z","cross_cats_sorted":[],"title_canon_sha256":"f49e23bee13233a9ec99381f83a3c54bdfd64f10e86dbb2eb8cd17a8505849a9","abstract_canon_sha256":"9249e9b998bd4e32a9b6040e67f6b1159338b0a3179fd0e8ac6bcd40c43d9713"},"schema_version":"1.0"},"canonical_sha256":"e0aa73fa5e7d9c610b4a7de53bc3dfc7d62921cf91ae81e1fd8f2b9a81d4e3c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T01:04:11.803374Z","signature_b64":"zCukva0kAfHvzU2ipBxHVwn4fLTBCfVm/dURP1fMFL8iF2Sgbb1xUZoCiR7Q4h9PoW9HOxlK6Qw/wguvbxMnAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0aa73fa5e7d9c610b4a7de53bc3dfc7d62921cf91ae81e1fd8f2b9a81d4e3c0","last_reissued_at":"2026-08-14T01:04:11.801713Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T01:04:11.801713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.13317","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":"2026-08-14T01:04:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PrTEpAnyNFdyfxLUeU0zXmGMaW7PPuD1QBgOvZ8BrnpYHh+dKZamhrO8/CCnYg8fgTPxzsqECFS3stZJr8INCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:14:30.092684Z"},"content_sha256":"17f4e0a88f9367e964bfd2569729dfbc3e969bf220c05d940ccc8aa3e63e7c2c","schema_version":"1.0","event_id":"sha256:17f4e0a88f9367e964bfd2569729dfbc3e969bf220c05d940ccc8aa3e63e7c2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4CVHH6S6PWOGCC2KPXSTXQ67Y7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Delvin Ce Zhang, Nikolaos Aletras, Xi Wang, Yanwen Peng","submitted_at":"2026-08-13T14:40:59Z","abstract_excerpt":"Large language model based multi-agent systems usually communicate in text, i.e., using discrete tokens. However, text introduces a discrete bottleneck. Converting the sender's continuous hidden states into discrete tokens discards information that token identities alone cannot capture. Recent work proposes latent communication as an alternative, where agents transmit hidden representations directly without converting them to text. However, existing latent methods either inject working memory layer by layer across the transformers, or require trained projectors that limit portability. We propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13317","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/2608.13317/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":"2026-08-14T01:04:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FlAeOZ5yWLF8SpKOipIlkyzGpB4JEqUKdSllN4vAtbMZwPAWu/IXfpCt2H89mQ5GKk9jjlN7Wvbtythhx2y0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:14:30.093461Z"},"content_sha256":"910a3fa48f30f4fd92f8c61f74ddcbaf09206e8bada9dfcd1465bf57e6b4bebc","schema_version":"1.0","event_id":"sha256:910a3fa48f30f4fd92f8c61f74ddcbaf09206e8bada9dfcd1465bf57e6b4bebc"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:4CVHH6S6PWOGCC2KPXSTXQ67Y7","target":"integrity","payload":{"note":"Identifier '10.18653/v1/2021' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"doi: 10.18653/v1/2021. acl-long.353. Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, and Zhaopeng Tu. Encouraging divergent thinking in large language models through multi-agent debate. InProcee","arxiv_id":"2608.13317","detector":"doi_compliance","evidence":{"doi":"10.18653/v1/2021","arxiv_id":null,"ref_index":12,"raw_excerpt":"doi: 10.18653/v1/2021. acl-long.353. Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, and Zhaopeng Tu. Encouraging divergent thinking in large language models through multi-agent debate. InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 17889–17904,","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":12,"audited_at":"2026-08-14T13:58:06.702781Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2021","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"bd8ca484f66776432ebcc10d3e9bb18d8c01bc5d03c40144cdcaa1be570d17a8","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19718,"payload_sha256":"18116a9a22a4fc4013151162b62315cbca6c0b8e4ea77cd46218941399ed9fb3","signature_b64":"S5ybbEZl16y0ygMTwFE5XNKVv3JdTryIvYLsIgg7rWw8y+O8OOpF6ujws5g03qbXNDa5bFC+bZgR+Sex6YOmCw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-14T13:58:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VR4fUt9s99xandMMfdTh15KhOLJTESTUA+itxVK+UhaA29GOkbihMiHNMt7N7Xr8nDa+eW4YcTtv/7BwjBRKAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:14:30.098273Z"},"content_sha256":"bb709f66709516e5f862a99e7968056678159e5c275902eacfb627cf7ac63f5d","schema_version":"1.0","event_id":"sha256:bb709f66709516e5f862a99e7968056678159e5c275902eacfb627cf7ac63f5d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4CVHH6S6PWOGCC2KPXSTXQ67Y7/bundle.json","state_url":"https://pith.science/pith/4CVHH6S6PWOGCC2KPXSTXQ67Y7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4CVHH6S6PWOGCC2KPXSTXQ67Y7/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":"2026-08-15T00:14:30Z","links":{"resolver":"https://pith.science/pith/4CVHH6S6PWOGCC2KPXSTXQ67Y7","bundle":"https://pith.science/pith/4CVHH6S6PWOGCC2KPXSTXQ67Y7/bundle.json","state":"https://pith.science/pith/4CVHH6S6PWOGCC2KPXSTXQ67Y7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4CVHH6S6PWOGCC2KPXSTXQ67Y7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4CVHH6S6PWOGCC2KPXSTXQ67Y7","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9249e9b998bd4e32a9b6040e67f6b1159338b0a3179fd0e8ac6bcd40c43d9713","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T14:40:59Z","title_canon_sha256":"f49e23bee13233a9ec99381f83a3c54bdfd64f10e86dbb2eb8cd17a8505849a9"},"schema_version":"1.0","source":{"id":"2608.13317","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.13317","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"arxiv_version","alias_value":"2608.13317v1","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13317","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"pith_short_12","alias_value":"4CVHH6S6PWOG","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"pith_short_16","alias_value":"4CVHH6S6PWOGCC2K","created_at":"2026-08-14T01:04:11Z"},{"alias_kind":"pith_short_8","alias_value":"4CVHH6S6","created_at":"2026-08-14T01:04:11Z"}],"graph_snapshots":[{"event_id":"sha256:910a3fa48f30f4fd92f8c61f74ddcbaf09206e8bada9dfcd1465bf57e6b4bebc","target":"graph","created_at":"2026-08-14T01:04:11Z","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/2608.13317/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language model based multi-agent systems usually communicate in text, i.e., using discrete tokens. However, text introduces a discrete bottleneck. Converting the sender's continuous hidden states into discrete tokens discards information that token identities alone cannot capture. Recent work proposes latent communication as an alternative, where agents transmit hidden representations directly without converting them to text. However, existing latent methods either inject working memory layer by layer across the transformers, or require trained projectors that limit portability. We propo","authors_text":"Delvin Ce Zhang, Nikolaos Aletras, Xi Wang, Yanwen Peng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T14:40:59Z","title":"StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13317","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":"sha256:17f4e0a88f9367e964bfd2569729dfbc3e969bf220c05d940ccc8aa3e63e7c2c","target":"record","created_at":"2026-08-14T01:04:11Z","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":"9249e9b998bd4e32a9b6040e67f6b1159338b0a3179fd0e8ac6bcd40c43d9713","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-13T14:40:59Z","title_canon_sha256":"f49e23bee13233a9ec99381f83a3c54bdfd64f10e86dbb2eb8cd17a8505849a9"},"schema_version":"1.0","source":{"id":"2608.13317","kind":"arxiv","version":1}},"canonical_sha256":"e0aa73fa5e7d9c610b4a7de53bc3dfc7d62921cf91ae81e1fd8f2b9a81d4e3c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0aa73fa5e7d9c610b4a7de53bc3dfc7d62921cf91ae81e1fd8f2b9a81d4e3c0","first_computed_at":"2026-08-14T01:04:11.801713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-14T01:04:11.801713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zCukva0kAfHvzU2ipBxHVwn4fLTBCfVm/dURP1fMFL8iF2Sgbb1xUZoCiR7Q4h9PoW9HOxlK6Qw/wguvbxMnAw==","signature_status":"signed_v1","signed_at":"2026-08-14T01:04:11.803374Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.13317","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17f4e0a88f9367e964bfd2569729dfbc3e969bf220c05d940ccc8aa3e63e7c2c","sha256:910a3fa48f30f4fd92f8c61f74ddcbaf09206e8bada9dfcd1465bf57e6b4bebc","sha256:bb709f66709516e5f862a99e7968056678159e5c275902eacfb627cf7ac63f5d"],"state_sha256":"8b116aff8186e9bab2d5e1f572ef4ad43088995d67ac9d9a08e68cc3313ad979"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"79vYE16+tBme35pOsaPcz47rDmbI4/c3alRalgon/F8SxabPCyDMNjy2RRy58xf7wXLHp6Fu7145l4LOMSKNAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T00:14:30.101046Z","bundle_sha256":"01aaeb1b7f4560fc3b69f14cc8e1946f770be9004b119f3c6c78ec26f6fb18c8"}}