{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6RKLX7VIGKCNMHUCFBYRFO7AV4","short_pith_number":"pith:6RKLX7VI","canonical_record":{"source":{"id":"2508.16204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-22T08:24:02Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"c5fb57c71f1a6ccf0edcfa2b7cfdc23ec4eed0edc75798ea768d3f4128cc3bd1","abstract_canon_sha256":"4d9b14f00ba51471f8ca12b3194983e9d1311fbd5503b2a772714e5b5b634324"},"schema_version":"1.0"},"canonical_sha256":"f454bbfea83284d61e82287112bbe0af1bb8fc4ff1ed3b6e5e07537fb4d52c2b","source":{"kind":"arxiv","id":"2508.16204","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16204","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16204v1","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16204","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"pith_short_12","alias_value":"6RKLX7VIGKCN","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"pith_short_16","alias_value":"6RKLX7VIGKCNMHUC","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"pith_short_8","alias_value":"6RKLX7VI","created_at":"2026-07-05T11:57:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6RKLX7VIGKCNMHUCFBYRFO7AV4","target":"record","payload":{"canonical_record":{"source":{"id":"2508.16204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-22T08:24:02Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"c5fb57c71f1a6ccf0edcfa2b7cfdc23ec4eed0edc75798ea768d3f4128cc3bd1","abstract_canon_sha256":"4d9b14f00ba51471f8ca12b3194983e9d1311fbd5503b2a772714e5b5b634324"},"schema_version":"1.0"},"canonical_sha256":"f454bbfea83284d61e82287112bbe0af1bb8fc4ff1ed3b6e5e07537fb4d52c2b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:43.931950Z","signature_b64":"/iK5r8nyAqYcl5tknGSRyqT9JKQRjfKt5/ld+VJp6zNXL0kLEfdtFzVUKhi7hGkGIvoHmdjeoe5vUi1s/QyPBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f454bbfea83284d61e82287112bbe0af1bb8fc4ff1ed3b6e5e07537fb4d52c2b","last_reissued_at":"2026-07-05T11:57:43.931487Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:43.931487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.16204","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":"2026-07-05T11:57:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dKIObcvEKkdnkEietzjeQAQOEwz1JLkKp3SxtvVqP0o7T/2iyWJAtk7V7XD80AoVZeFFYCFSnqd9Bx9MweyvBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T10:00:07.059611Z"},"content_sha256":"7dba2c85378348ce4a0e4025df76e225a8188f5db6d933cb27fd8f1ab39d7a65","schema_version":"1.0","event_id":"sha256:7dba2c85378348ce4a0e4025df76e225a8188f5db6d933cb27fd8f1ab39d7a65"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6RKLX7VIGKCNMHUCFBYRFO7AV4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Competition and Attraction Improve Model Fusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.AI","authors_text":"Jo\\~ao Abrantes, Robert Tjarko Lange, Yujin Tang","submitted_at":"2025-08-22T08:24:02Z","abstract_excerpt":"Model merging is a powerful technique for integrating the specialized knowledge of multiple machine learning models into a single model. However, existing methods require manually partitioning model parameters into fixed groups for merging, which restricts the exploration of potential combinations and limits performance. To overcome these limitations, we propose Model Merging of Natural Niches (M2N2), an evolutionary algorithm with three key features: (1) dynamic adjustment of merging boundaries to progressively explore a broader range of parameter combinations; (2) a diversity preservation me"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16204","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/2508.16204/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":"2026-07-05T11:57:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vDojX5goziQStpibOd0wYbw4VNxV9+7vZiiOiug9S2c9k/kxrRFvrTQjPshvpVYUbe9IDBBbI3pU3OHekcKAAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T10:00:07.060102Z"},"content_sha256":"870a7efb3f97590cad71d3f73dbfdfa52c17646c68bf6d934491457ec1410b98","schema_version":"1.0","event_id":"sha256:870a7efb3f97590cad71d3f73dbfdfa52c17646c68bf6d934491457ec1410b98"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6RKLX7VIGKCNMHUCFBYRFO7AV4/bundle.json","state_url":"https://pith.science/pith/6RKLX7VIGKCNMHUCFBYRFO7AV4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6RKLX7VIGKCNMHUCFBYRFO7AV4/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":"2026-08-03T10:00:07Z","links":{"resolver":"https://pith.science/pith/6RKLX7VIGKCNMHUCFBYRFO7AV4","bundle":"https://pith.science/pith/6RKLX7VIGKCNMHUCFBYRFO7AV4/bundle.json","state":"https://pith.science/pith/6RKLX7VIGKCNMHUCFBYRFO7AV4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6RKLX7VIGKCNMHUCFBYRFO7AV4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6RKLX7VIGKCNMHUCFBYRFO7AV4","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":"4d9b14f00ba51471f8ca12b3194983e9d1311fbd5503b2a772714e5b5b634324","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-22T08:24:02Z","title_canon_sha256":"c5fb57c71f1a6ccf0edcfa2b7cfdc23ec4eed0edc75798ea768d3f4128cc3bd1"},"schema_version":"1.0","source":{"id":"2508.16204","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16204","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16204v1","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16204","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"pith_short_12","alias_value":"6RKLX7VIGKCN","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"pith_short_16","alias_value":"6RKLX7VIGKCNMHUC","created_at":"2026-07-05T11:57:43Z"},{"alias_kind":"pith_short_8","alias_value":"6RKLX7VI","created_at":"2026-07-05T11:57:43Z"}],"graph_snapshots":[{"event_id":"sha256:870a7efb3f97590cad71d3f73dbfdfa52c17646c68bf6d934491457ec1410b98","target":"graph","created_at":"2026-07-05T11:57:43Z","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/2508.16204/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model merging is a powerful technique for integrating the specialized knowledge of multiple machine learning models into a single model. However, existing methods require manually partitioning model parameters into fixed groups for merging, which restricts the exploration of potential combinations and limits performance. To overcome these limitations, we propose Model Merging of Natural Niches (M2N2), an evolutionary algorithm with three key features: (1) dynamic adjustment of merging boundaries to progressively explore a broader range of parameter combinations; (2) a diversity preservation me","authors_text":"Jo\\~ao Abrantes, Robert Tjarko Lange, Yujin Tang","cross_cats":["cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-22T08:24:02Z","title":"Competition and Attraction Improve Model Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16204","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":"sha256:7dba2c85378348ce4a0e4025df76e225a8188f5db6d933cb27fd8f1ab39d7a65","target":"record","created_at":"2026-07-05T11:57:43Z","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":"4d9b14f00ba51471f8ca12b3194983e9d1311fbd5503b2a772714e5b5b634324","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-08-22T08:24:02Z","title_canon_sha256":"c5fb57c71f1a6ccf0edcfa2b7cfdc23ec4eed0edc75798ea768d3f4128cc3bd1"},"schema_version":"1.0","source":{"id":"2508.16204","kind":"arxiv","version":1}},"canonical_sha256":"f454bbfea83284d61e82287112bbe0af1bb8fc4ff1ed3b6e5e07537fb4d52c2b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f454bbfea83284d61e82287112bbe0af1bb8fc4ff1ed3b6e5e07537fb4d52c2b","first_computed_at":"2026-07-05T11:57:43.931487Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:43.931487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/iK5r8nyAqYcl5tknGSRyqT9JKQRjfKt5/ld+VJp6zNXL0kLEfdtFzVUKhi7hGkGIvoHmdjeoe5vUi1s/QyPBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:43.931950Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.16204","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7dba2c85378348ce4a0e4025df76e225a8188f5db6d933cb27fd8f1ab39d7a65","sha256:870a7efb3f97590cad71d3f73dbfdfa52c17646c68bf6d934491457ec1410b98"],"state_sha256":"cc39a12ac65959e56c4982eea0e8db8c3412ddfea307ef51226740ce2a575959"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qxLgWzqcfwW3eOAMryWgcgt7vTI/0XRhv6u4OeJY0IPQjT5AZB5YhAgxwW6yyVMDR709MCEWVMm3AYdR6Vi2DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T10:00:07.063841Z","bundle_sha256":"9cedd4ff62805cb84aa41f4fd047488096680e9fb033b121a6c031a6f8ae664a"}}