{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HPVOKD7MMYM4JAP32BE5MDHOHT","short_pith_number":"pith:HPVOKD7M","canonical_record":{"source":{"id":"2602.15513","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-17T11:41:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"85f025fb2425ec3561124a131dd4d5353a93dcaf573377cff2b0483c7e8b9558","abstract_canon_sha256":"493a9ca63c11c1696df691c0f97733e6b6c5e31f38c72e247436efab3227c253"},"schema_version":"1.0"},"canonical_sha256":"3beae50fec6619c481fbd049d60cee3cd145b627f01a53493a534ed7e2621c20","source":{"kind":"arxiv","id":"2602.15513","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.15513","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"arxiv_version","alias_value":"2602.15513v2","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.15513","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_12","alias_value":"HPVOKD7MMYM4","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_16","alias_value":"HPVOKD7MMYM4JAP3","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_8","alias_value":"HPVOKD7M","created_at":"2026-06-19T16:11:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HPVOKD7MMYM4JAP32BE5MDHOHT","target":"record","payload":{"canonical_record":{"source":{"id":"2602.15513","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-17T11:41:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"85f025fb2425ec3561124a131dd4d5353a93dcaf573377cff2b0483c7e8b9558","abstract_canon_sha256":"493a9ca63c11c1696df691c0f97733e6b6c5e31f38c72e247436efab3227c253"},"schema_version":"1.0"},"canonical_sha256":"3beae50fec6619c481fbd049d60cee3cd145b627f01a53493a534ed7e2621c20","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:11:20.906723Z","signature_b64":"i6Imn6WHpcL06rUFH4HIblwteNhS3FBVEAH3G+LD0aGiwLWKp1t0qiPPS9DUqatgisSOiHTIYfYBztTX2lQMCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3beae50fec6619c481fbd049d60cee3cd145b627f01a53493a534ed7e2621c20","last_reissued_at":"2026-06-19T16:11:20.906261Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:11:20.906261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.15513","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":"2026-06-19T16:11:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OlEQvemDRxs2nFFYGPl1N0ybZm1alcklidxImwKPXXQNCTw36EQf2kLUe2RNGTcYZwERSOtMcUEgryY1IAofBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T20:52:04.189478Z"},"content_sha256":"d3f1d427d03a6951fb628452d4cd07c56a0c601db27ec6b24e58d7f2a5bd80dd","schema_version":"1.0","event_id":"sha256:d3f1d427d03a6951fb628452d4cd07c56a0c601db27ec6b24e58d7f2a5bd80dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HPVOKD7MMYM4JAP32BE5MDHOHT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HIMM: Human-Inspired Long-Term Memory Modeling for Embodied Exploration and Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Bo Wang, Ji Li, Jing Xia, Mingyi Li, Shiyan Hu","submitted_at":"2026-02-17T11:41:28Z","abstract_excerpt":"Deploying Multimodal Large Language Models as the brain of embodied agents remains challenging, particularly under long-horizon observations and limited context budgets. Existing memory assisted methods often rely on textual summaries, which discard rich visual and spatial details and remain brittle in non-stationary environments. In this work, we propose a non-parametric memory framework that explicitly disentangles episodic and semantic memory for embodied exploration and question answering. Our retrieval-first, reasoning-assisted paradigm recalls episodic experiences via semantic similarity"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.15513","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/2602.15513/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":"2026-06-19T16:11:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tUEwtiGQDWDCm0gsqb25lna5oROQcBlQmXhWjpyyecoAWI6TFaGXF5sYkB1hS5l4m1qwqJMjdQod2V81uH9rAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T20:52:04.189863Z"},"content_sha256":"e6390158aa98b5825d58924ff7e2a89b9c65c418260498214e86ea744a7cffa3","schema_version":"1.0","event_id":"sha256:e6390158aa98b5825d58924ff7e2a89b9c65c418260498214e86ea744a7cffa3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HPVOKD7MMYM4JAP32BE5MDHOHT/bundle.json","state_url":"https://pith.science/pith/HPVOKD7MMYM4JAP32BE5MDHOHT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HPVOKD7MMYM4JAP32BE5MDHOHT/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":"2026-06-27T20:52:04Z","links":{"resolver":"https://pith.science/pith/HPVOKD7MMYM4JAP32BE5MDHOHT","bundle":"https://pith.science/pith/HPVOKD7MMYM4JAP32BE5MDHOHT/bundle.json","state":"https://pith.science/pith/HPVOKD7MMYM4JAP32BE5MDHOHT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HPVOKD7MMYM4JAP32BE5MDHOHT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HPVOKD7MMYM4JAP32BE5MDHOHT","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":"493a9ca63c11c1696df691c0f97733e6b6c5e31f38c72e247436efab3227c253","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-17T11:41:28Z","title_canon_sha256":"85f025fb2425ec3561124a131dd4d5353a93dcaf573377cff2b0483c7e8b9558"},"schema_version":"1.0","source":{"id":"2602.15513","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.15513","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"arxiv_version","alias_value":"2602.15513v2","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.15513","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_12","alias_value":"HPVOKD7MMYM4","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_16","alias_value":"HPVOKD7MMYM4JAP3","created_at":"2026-06-19T16:11:20Z"},{"alias_kind":"pith_short_8","alias_value":"HPVOKD7M","created_at":"2026-06-19T16:11:20Z"}],"graph_snapshots":[{"event_id":"sha256:e6390158aa98b5825d58924ff7e2a89b9c65c418260498214e86ea744a7cffa3","target":"graph","created_at":"2026-06-19T16:11:20Z","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/2602.15513/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deploying Multimodal Large Language Models as the brain of embodied agents remains challenging, particularly under long-horizon observations and limited context budgets. Existing memory assisted methods often rely on textual summaries, which discard rich visual and spatial details and remain brittle in non-stationary environments. In this work, we propose a non-parametric memory framework that explicitly disentangles episodic and semantic memory for embodied exploration and question answering. Our retrieval-first, reasoning-assisted paradigm recalls episodic experiences via semantic similarity","authors_text":"Bo Wang, Ji Li, Jing Xia, Mingyi Li, Shiyan Hu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-17T11:41:28Z","title":"HIMM: Human-Inspired Long-Term Memory Modeling for Embodied Exploration and Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.15513","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:d3f1d427d03a6951fb628452d4cd07c56a0c601db27ec6b24e58d7f2a5bd80dd","target":"record","created_at":"2026-06-19T16:11:20Z","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":"493a9ca63c11c1696df691c0f97733e6b6c5e31f38c72e247436efab3227c253","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-02-17T11:41:28Z","title_canon_sha256":"85f025fb2425ec3561124a131dd4d5353a93dcaf573377cff2b0483c7e8b9558"},"schema_version":"1.0","source":{"id":"2602.15513","kind":"arxiv","version":2}},"canonical_sha256":"3beae50fec6619c481fbd049d60cee3cd145b627f01a53493a534ed7e2621c20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3beae50fec6619c481fbd049d60cee3cd145b627f01a53493a534ed7e2621c20","first_computed_at":"2026-06-19T16:11:20.906261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:20.906261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i6Imn6WHpcL06rUFH4HIblwteNhS3FBVEAH3G+LD0aGiwLWKp1t0qiPPS9DUqatgisSOiHTIYfYBztTX2lQMCA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:20.906723Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.15513","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3f1d427d03a6951fb628452d4cd07c56a0c601db27ec6b24e58d7f2a5bd80dd","sha256:e6390158aa98b5825d58924ff7e2a89b9c65c418260498214e86ea744a7cffa3"],"state_sha256":"522e0b2111fc8752d2e1702376c1a7a08dedaa6002e37e2c2b5b38112c1f96be"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ueKR+fUGnOfEPAZmm1+JSJyUg8k0NsGSvZLr8uM+w6ELgf7OgNIJEiZVGL4FoxOKfPw0FNIBVRnV/uOb19vtCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T20:52:04.191825Z","bundle_sha256":"623fef792b1ff42324a28117f78602b4a7a07d879f061184505d115fb86a204c"}}