{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HM4B64GMZK24XITKFQ6ZTT2FRP","short_pith_number":"pith:HM4B64GM","canonical_record":{"source":{"id":"2608.09907","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T17:52:14Z","cross_cats_sorted":[],"title_canon_sha256":"b76d9a6282def23d49938365fc353c47267436a3424ed1db14c1cf4214b6aecc","abstract_canon_sha256":"855934fd5764dae148b4b5fa3fc46e0ec0eb536022e57dbe69d828823562e9aa"},"schema_version":"1.0"},"canonical_sha256":"3b381f70cccab5cba26a2c3d99cf458bd0527420dbce0617202be13fcdfee4c2","source":{"kind":"arxiv","id":"2608.09907","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09907","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09907v1","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09907","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"pith_short_12","alias_value":"HM4B64GMZK24","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"pith_short_16","alias_value":"HM4B64GMZK24XITK","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"pith_short_8","alias_value":"HM4B64GM","created_at":"2026-08-11T02:25:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HM4B64GMZK24XITKFQ6ZTT2FRP","target":"record","payload":{"canonical_record":{"source":{"id":"2608.09907","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T17:52:14Z","cross_cats_sorted":[],"title_canon_sha256":"b76d9a6282def23d49938365fc353c47267436a3424ed1db14c1cf4214b6aecc","abstract_canon_sha256":"855934fd5764dae148b4b5fa3fc46e0ec0eb536022e57dbe69d828823562e9aa"},"schema_version":"1.0"},"canonical_sha256":"3b381f70cccab5cba26a2c3d99cf458bd0527420dbce0617202be13fcdfee4c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T02:25:25.115936Z","signature_b64":"D6PuzCTm9pEW9LDx2ob9a/tI0XUDYRAt+ozTgUIQWO8gSkR4uehpU+bA91j4m7ZCFVkeqrTNVFqfaUD22/hRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b381f70cccab5cba26a2c3d99cf458bd0527420dbce0617202be13fcdfee4c2","last_reissued_at":"2026-08-11T02:25:25.114320Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T02:25:25.114320Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.09907","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":"2026-08-11T02:25:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ACBmrwGVdBIkJOWLqPEr6jTHNIBaISIbXtLm/fHwFzMMlKem1WVwJH2Nxi/opjnV2sytJWHGz5rB0/5tMtaQBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:43:48.603429Z"},"content_sha256":"039467b28cc04836b101da8402e9c56ebc46dde9d514ca8a50c165159fa25b6a","schema_version":"1.0","event_id":"sha256:039467b28cc04836b101da8402e9c56ebc46dde9d514ca8a50c165159fa25b6a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HM4B64GMZK24XITKFQ6ZTT2FRP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Elisa Ricci, Mainak Singha, Niccol\\`o Biondi, Subhankar Roy","submitted_at":"2026-08-10T17:52:14Z","abstract_excerpt":"Multimodal Large Language Models (MLLMs) have shown strong multimodal instruction-following ability, but adapting them to diverse visual-language domains typically assumes centralized data access and costly joint training. This is restrictive when data is distributed across private, domain-specific, or permission-limited clients. To this end, we propose DistMoE, a mixture-of-experts (MoE) approach for distributed visual instruction tuning. In each layer of the language decoder it augments the public feedforward network (FFN) with a client-specific private FFN expert, with the goal to acquire d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09907","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/2608.09907/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":"2026-08-11T02:25:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MbIv1rUEpU4suUx7vKMJ2krp7GvFBnQwsS9Kug4Lz/pghp+KvdECKcWSrjGeu+Pw46OUZFCEmDxJJbPPW7GxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:43:48.603956Z"},"content_sha256":"83cd8dbfe8b5b7722f47bcddbb0aad9262c32eb4e367f897786da89fba7e7aa3","schema_version":"1.0","event_id":"sha256:83cd8dbfe8b5b7722f47bcddbb0aad9262c32eb4e367f897786da89fba7e7aa3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HM4B64GMZK24XITKFQ6ZTT2FRP/bundle.json","state_url":"https://pith.science/pith/HM4B64GMZK24XITKFQ6ZTT2FRP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HM4B64GMZK24XITKFQ6ZTT2FRP/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":"2026-08-18T15:43:48Z","links":{"resolver":"https://pith.science/pith/HM4B64GMZK24XITKFQ6ZTT2FRP","bundle":"https://pith.science/pith/HM4B64GMZK24XITKFQ6ZTT2FRP/bundle.json","state":"https://pith.science/pith/HM4B64GMZK24XITKFQ6ZTT2FRP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HM4B64GMZK24XITKFQ6ZTT2FRP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HM4B64GMZK24XITKFQ6ZTT2FRP","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":"855934fd5764dae148b4b5fa3fc46e0ec0eb536022e57dbe69d828823562e9aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T17:52:14Z","title_canon_sha256":"b76d9a6282def23d49938365fc353c47267436a3424ed1db14c1cf4214b6aecc"},"schema_version":"1.0","source":{"id":"2608.09907","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09907","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09907v1","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09907","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"pith_short_12","alias_value":"HM4B64GMZK24","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"pith_short_16","alias_value":"HM4B64GMZK24XITK","created_at":"2026-08-11T02:25:25Z"},{"alias_kind":"pith_short_8","alias_value":"HM4B64GM","created_at":"2026-08-11T02:25:25Z"}],"graph_snapshots":[{"event_id":"sha256:83cd8dbfe8b5b7722f47bcddbb0aad9262c32eb4e367f897786da89fba7e7aa3","target":"graph","created_at":"2026-08-11T02:25:25Z","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/2608.09907/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal Large Language Models (MLLMs) have shown strong multimodal instruction-following ability, but adapting them to diverse visual-language domains typically assumes centralized data access and costly joint training. This is restrictive when data is distributed across private, domain-specific, or permission-limited clients. To this end, we propose DistMoE, a mixture-of-experts (MoE) approach for distributed visual instruction tuning. In each layer of the language decoder it augments the public feedforward network (FFN) with a client-specific private FFN expert, with the goal to acquire d","authors_text":"Elisa Ricci, Mainak Singha, Niccol\\`o Biondi, Subhankar Roy","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T17:52:14Z","title":"DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09907","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":"sha256:039467b28cc04836b101da8402e9c56ebc46dde9d514ca8a50c165159fa25b6a","target":"record","created_at":"2026-08-11T02:25:25Z","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":"855934fd5764dae148b4b5fa3fc46e0ec0eb536022e57dbe69d828823562e9aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-10T17:52:14Z","title_canon_sha256":"b76d9a6282def23d49938365fc353c47267436a3424ed1db14c1cf4214b6aecc"},"schema_version":"1.0","source":{"id":"2608.09907","kind":"arxiv","version":1}},"canonical_sha256":"3b381f70cccab5cba26a2c3d99cf458bd0527420dbce0617202be13fcdfee4c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b381f70cccab5cba26a2c3d99cf458bd0527420dbce0617202be13fcdfee4c2","first_computed_at":"2026-08-11T02:25:25.114320Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T02:25:25.114320Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D6PuzCTm9pEW9LDx2ob9a/tI0XUDYRAt+ozTgUIQWO8gSkR4uehpU+bA91j4m7ZCFVkeqrTNVFqfaUD22/hRDA==","signature_status":"signed_v1","signed_at":"2026-08-11T02:25:25.115936Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.09907","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:039467b28cc04836b101da8402e9c56ebc46dde9d514ca8a50c165159fa25b6a","sha256:83cd8dbfe8b5b7722f47bcddbb0aad9262c32eb4e367f897786da89fba7e7aa3"],"state_sha256":"cf8a99a0b1678d994f33ea6e58c9407f41d0a97001cfe3adb85c073a328d1563"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bGOMbz0sjUtduJSGOjeGWABB14C6ZLCywT6Z1NJQT3mdeLDP89Aqiam30YkrXSdQ/4P3lyjui93/089v841HDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T15:43:48.608062Z","bundle_sha256":"be77c42d86bfb67bb72c7c4f1c6b486a4ab37c5a0be9e295db03f4301879b969"}}