{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UFRPH256PVFY5HV62PPQBAL2GL","short_pith_number":"pith:UFRPH256","canonical_record":{"source":{"id":"2503.04395","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:47:54Z","cross_cats_sorted":[],"title_canon_sha256":"047125cd7a0ddb0f6d6a911363eab6ae5849ec264641a2648d6b138c7feff15d","abstract_canon_sha256":"15b95248ccc30364096abee84b3d2947433c9e92bd0095ffa9ef9bff131d91b2"},"schema_version":"1.0"},"canonical_sha256":"a162f3ebbe7d4b8e9ebed3df00817a32d028fde41979ebe6f7e731fb6cf70e58","source":{"kind":"arxiv","id":"2503.04395","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.04395","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"2503.04395v2","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04395","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"UFRPH256PVFY","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"pith_short_16","alias_value":"UFRPH256PVFY5HV6","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"pith_short_8","alias_value":"UFRPH256","created_at":"2026-07-05T11:10:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UFRPH256PVFY5HV62PPQBAL2GL","target":"record","payload":{"canonical_record":{"source":{"id":"2503.04395","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:47:54Z","cross_cats_sorted":[],"title_canon_sha256":"047125cd7a0ddb0f6d6a911363eab6ae5849ec264641a2648d6b138c7feff15d","abstract_canon_sha256":"15b95248ccc30364096abee84b3d2947433c9e92bd0095ffa9ef9bff131d91b2"},"schema_version":"1.0"},"canonical_sha256":"a162f3ebbe7d4b8e9ebed3df00817a32d028fde41979ebe6f7e731fb6cf70e58","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:53.712133Z","signature_b64":"mYO6zEI1KVIJF284jg9Ok/aE3YTSsNO2E/BROGCnNdLYVyBfT0i1af7yutP0lm8phgd5d1c+yGdrztnW/SIcBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a162f3ebbe7d4b8e9ebed3df00817a32d028fde41979ebe6f7e731fb6cf70e58","last_reissued_at":"2026-07-05T11:10:53.711591Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:53.711591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.04395","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:10:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q2mtaNMOiPn2n7cSe13NsQcP3emn7N1W15v6cVFNsIEMVBSQdB+Y6O3u1psZUt2yN8CxXeKlwcSMmKnBQf8zCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:42:41.245777Z"},"content_sha256":"f6e43e8d7abc34bf4c454f0f1f9418d921770ead587723ebb45ce14ebc26f8fe","schema_version":"1.0","event_id":"sha256:f6e43e8d7abc34bf4c454f0f1f9418d921770ead587723ebb45ce14ebc26f8fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UFRPH256PVFY5HV62PPQBAL2GL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Max Peeperkorn, Roy de Kleijn, Tessa Verhoef, Tom Kouwenhoven","submitted_at":"2025-03-06T12:47:54Z","abstract_excerpt":"Languages are shaped by the inductive biases of their users. Using a classical referential game, we investigate how artificial languages evolve when optimised for inductive biases in humans and large language models (LLMs) via Human-Human, LLM-LLM and Human-LLM experiments. We show that referentially grounded vocabularies emerge that enable reliable communication in all conditions, even when humans \\textit{and} LLMs collaborate. Comparisons between conditions reveal that languages optimised for LLMs subtly differ from those optimised for humans. Interestingly, interactions between humans and L"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04395","kind":"arxiv","version":2},"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/2503.04395/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":"2026-07-05T11:10:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/HMsuLb8qOMDuP4hLHtBpsakRNlb0snmzhP9X5JCzQ3K9HU559eLRgjzfT0LFapHin+HTjwD0Y0Rp/2ztaGrDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:42:41.246277Z"},"content_sha256":"ab043a8cdccb929956609a7e7757c73f6b62904ef4f2302761d18755227f9515","schema_version":"1.0","event_id":"sha256:ab043a8cdccb929956609a7e7757c73f6b62904ef4f2302761d18755227f9515"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UFRPH256PVFY5HV62PPQBAL2GL/bundle.json","state_url":"https://pith.science/pith/UFRPH256PVFY5HV62PPQBAL2GL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UFRPH256PVFY5HV62PPQBAL2GL/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":"2026-08-14T17:42:41Z","links":{"resolver":"https://pith.science/pith/UFRPH256PVFY5HV62PPQBAL2GL","bundle":"https://pith.science/pith/UFRPH256PVFY5HV62PPQBAL2GL/bundle.json","state":"https://pith.science/pith/UFRPH256PVFY5HV62PPQBAL2GL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UFRPH256PVFY5HV62PPQBAL2GL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UFRPH256PVFY5HV62PPQBAL2GL","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":"15b95248ccc30364096abee84b3d2947433c9e92bd0095ffa9ef9bff131d91b2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:47:54Z","title_canon_sha256":"047125cd7a0ddb0f6d6a911363eab6ae5849ec264641a2648d6b138c7feff15d"},"schema_version":"1.0","source":{"id":"2503.04395","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.04395","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"2503.04395v2","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04395","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"UFRPH256PVFY","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"pith_short_16","alias_value":"UFRPH256PVFY5HV6","created_at":"2026-07-05T11:10:53Z"},{"alias_kind":"pith_short_8","alias_value":"UFRPH256","created_at":"2026-07-05T11:10:53Z"}],"graph_snapshots":[{"event_id":"sha256:ab043a8cdccb929956609a7e7757c73f6b62904ef4f2302761d18755227f9515","target":"graph","created_at":"2026-07-05T11:10:53Z","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/2503.04395/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Languages are shaped by the inductive biases of their users. Using a classical referential game, we investigate how artificial languages evolve when optimised for inductive biases in humans and large language models (LLMs) via Human-Human, LLM-LLM and Human-LLM experiments. We show that referentially grounded vocabularies emerge that enable reliable communication in all conditions, even when humans \\textit{and} LLMs collaborate. Comparisons between conditions reveal that languages optimised for LLMs subtly differ from those optimised for humans. Interestingly, interactions between humans and L","authors_text":"Max Peeperkorn, Roy de Kleijn, Tessa Verhoef, Tom Kouwenhoven","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:47:54Z","title":"Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04395","kind":"arxiv","version":2},"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:f6e43e8d7abc34bf4c454f0f1f9418d921770ead587723ebb45ce14ebc26f8fe","target":"record","created_at":"2026-07-05T11:10:53Z","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":"15b95248ccc30364096abee84b3d2947433c9e92bd0095ffa9ef9bff131d91b2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-03-06T12:47:54Z","title_canon_sha256":"047125cd7a0ddb0f6d6a911363eab6ae5849ec264641a2648d6b138c7feff15d"},"schema_version":"1.0","source":{"id":"2503.04395","kind":"arxiv","version":2}},"canonical_sha256":"a162f3ebbe7d4b8e9ebed3df00817a32d028fde41979ebe6f7e731fb6cf70e58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a162f3ebbe7d4b8e9ebed3df00817a32d028fde41979ebe6f7e731fb6cf70e58","first_computed_at":"2026-07-05T11:10:53.711591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:53.711591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mYO6zEI1KVIJF284jg9Ok/aE3YTSsNO2E/BROGCnNdLYVyBfT0i1af7yutP0lm8phgd5d1c+yGdrztnW/SIcBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:53.712133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.04395","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6e43e8d7abc34bf4c454f0f1f9418d921770ead587723ebb45ce14ebc26f8fe","sha256:ab043a8cdccb929956609a7e7757c73f6b62904ef4f2302761d18755227f9515"],"state_sha256":"3aaf151ee99a1b5ef12cf01894da837bd5e2d4e2166d151e775f19fa3b2ee3e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Q/tNf945ia1erSoDjectWulHuZxZ81faHKecuybbTI/A7gr+HANy9BUl5xKAaTl/juZQ67nNcn4q/w0V/HHDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T17:42:41.252362Z","bundle_sha256":"a14219e6b4bdd102d9d6d212b9ab6d50d2d55bae0d662e5263ed3961776bb378"}}