{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:7FHSLHFSLW5UQQNJCBPXBTYCTX","short_pith_number":"pith:7FHSLHFS","schema_version":"1.0","canonical_sha256":"f94f259cb25dbb4841a9105f70cf029dd61147780d78c8bbf0be8692a32d4324","source":{"kind":"arxiv","id":"2607.28272","version":1},"attestation_state":"computed","paper":{"title":"MemHarness: Memory Is Reconstructed, Not Replayed","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Botian Shi, Cong Zhang, Daocheng Fu, Hairong Zhang, Jianbiao Mei, Licheng Wen, Pinlong Cai, Rong Wu, Shu Zou, Tao Hu, Xuemeng Yang, Yuxin Wang, Yu Yang","submitted_at":"2026-07-30T14:25:49Z","abstract_excerpt":"Retrieving past experiences has become a common strategy to enhance large language model agents. However, most existing memory-augmented agents treat retrieved experiences as static records to be replayed verbatim, injecting them into the context regardless of whether they align with the agent's current situation. This ``replay'' paradigm ignores the gap between the abstract, general nature of stored experience and the concrete, ever-changing states encountered at decision time, frequently causing negative transfer. In contrast, humans rarely recall past experiences verbatim; instead, they reo"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.28272","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-30T14:25:49Z","cross_cats_sorted":[],"title_canon_sha256":"89251befd0435159617f03047b3d202114605722f3043f32e3465e39dca0df0f","abstract_canon_sha256":"8eab5d6fc9bd867f20e6c0c03cf9e20314286c368ee2c5ccbc453e8f26a07b99"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f94f259cb25dbb4841a9105f70cf029dd61147780d78c8bbf0be8692a32d4324","last_reissued_at":"2026-07-31T01:37:06.935147Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:37:06.935147Z"},"graph_snapshot":{"paper":{"title":"MemHarness: Memory Is Reconstructed, Not Replayed","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Botian Shi, Cong Zhang, Daocheng Fu, Hairong Zhang, Jianbiao Mei, Licheng Wen, Pinlong Cai, Rong Wu, Shu Zou, Tao Hu, Xuemeng Yang, Yuxin Wang, Yu Yang","submitted_at":"2026-07-30T14:25:49Z","abstract_excerpt":"Retrieving past experiences has become a common strategy to enhance large language model agents. However, most existing memory-augmented agents treat retrieved experiences as static records to be replayed verbatim, injecting them into the context regardless of whether they align with the agent's current situation. This ``replay'' paradigm ignores the gap between the abstract, general nature of stored experience and the concrete, ever-changing states encountered at decision time, frequently causing negative transfer. In contrast, humans rarely recall past experiences verbatim; instead, they reo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28272","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/2607.28272/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.28272","created_at":"2026-07-31T01:37:06.938410+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.28272v1","created_at":"2026-07-31T01:37:06.938410+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28272","created_at":"2026-07-31T01:37:06.938410+00:00"},{"alias_kind":"pith_short_12","alias_value":"7FHSLHFSLW5U","created_at":"2026-07-31T01:37:06.938410+00:00"},{"alias_kind":"pith_short_16","alias_value":"7FHSLHFSLW5UQQNJ","created_at":"2026-07-31T01:37:06.938410+00:00"},{"alias_kind":"pith_short_8","alias_value":"7FHSLHFS","created_at":"2026-07-31T01:37:06.938410+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX","json":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX.json","graph_json":"https://pith.science/api/pith-number/7FHSLHFSLW5UQQNJCBPXBTYCTX/graph.json","events_json":"https://pith.science/api/pith-number/7FHSLHFSLW5UQQNJCBPXBTYCTX/events.json","paper":"https://pith.science/paper/7FHSLHFS"},"agent_actions":{"view_html":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX","download_json":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX.json","view_paper":"https://pith.science/paper/7FHSLHFS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.28272&json=true","fetch_graph":"https://pith.science/api/pith-number/7FHSLHFSLW5UQQNJCBPXBTYCTX/graph.json","fetch_events":"https://pith.science/api/pith-number/7FHSLHFSLW5UQQNJCBPXBTYCTX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX/action/storage_attestation","attest_author":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX/action/author_attestation","sign_citation":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX/action/citation_signature","submit_replication":"https://pith.science/pith/7FHSLHFSLW5UQQNJCBPXBTYCTX/action/replication_record"}},"created_at":"2026-07-31T01:37:06.938410+00:00","updated_at":"2026-07-31T01:37:06.938410+00:00"}