{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3RJZEWRA5NUTJVHRBOAFIP7K35","short_pith_number":"pith:3RJZEWRA","canonical_record":{"source":{"id":"2608.03692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-08-04T13:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"cfae83e1cffeafd8a56869705a3d211ae292185331b33179216dd0b54c3d23fa","abstract_canon_sha256":"da6908d9dcc7b1b3afe0d166b33bf2ed08c9d04f33e9c8af7dd7e027be4a9988"},"schema_version":"1.0"},"canonical_sha256":"dc53925a20eb6934d4f10b80543feadf75e96b59e4fecf070ea9f98035282203","source":{"kind":"arxiv","id":"2608.03692","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03692","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03692v1","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03692","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"pith_short_12","alias_value":"3RJZEWRA5NUT","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"pith_short_16","alias_value":"3RJZEWRA5NUTJVHR","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"pith_short_8","alias_value":"3RJZEWRA","created_at":"2026-08-05T01:36:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3RJZEWRA5NUTJVHRBOAFIP7K35","target":"record","payload":{"canonical_record":{"source":{"id":"2608.03692","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-08-04T13:59:44Z","cross_cats_sorted":[],"title_canon_sha256":"cfae83e1cffeafd8a56869705a3d211ae292185331b33179216dd0b54c3d23fa","abstract_canon_sha256":"da6908d9dcc7b1b3afe0d166b33bf2ed08c9d04f33e9c8af7dd7e027be4a9988"},"schema_version":"1.0"},"canonical_sha256":"dc53925a20eb6934d4f10b80543feadf75e96b59e4fecf070ea9f98035282203","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T01:36:54.393316Z","signature_b64":"5se6s1sE+KvX0a7eNI2S/tvBcfPqrIhpqO64EbgsSLxOjseQem+K0e9anxHEU5AL4k9oDLIqPbtW/1MhKu44Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc53925a20eb6934d4f10b80543feadf75e96b59e4fecf070ea9f98035282203","last_reissued_at":"2026-08-05T01:36:54.391934Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T01:36:54.391934Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.03692","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":"2026-08-05T01:36:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iO5iKUuppPE+C8Bb3mDElJ4D0x6DbLPfy1zxqpMBCTvKGYm364OZGrnNkOwdGOrnQuUxjDgitvT8h4oRyYdKDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:44:51.844214Z"},"content_sha256":"362212145031faee5c226c7825645e89095771870cc4f28ad858a2706313ebfb","schema_version":"1.0","event_id":"sha256:362212145031faee5c226c7825645e89095771870cc4f28ad858a2706313ebfb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3RJZEWRA5NUTJVHRBOAFIP7K35","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Bo Chen, Chaoyi Ma, Enhong Chen, Hao Wang, Jiezhou Ji, Qinglin Jia, Ruiming Tang, Rui Zhou","submitted_at":"2026-08-04T13:59:44Z","abstract_excerpt":"As user behavior histories continue to grow on modern Internet platforms, effectively modeling long behavior sequences has become crucial for predicting user interests in candidate items. Existing methods have evolved along two directions. One line dynamically retrieves target-relevant behaviors from long histories, enabling target-aware modeling but requiring target-dependent computation during inference. The other line compresses entire behavior sequences into compact user representations, achieving high efficiency and scalability but sacrificing target-specific adaptation due to target-inde"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03692","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/2608.03692/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":"2026-08-05T01:36:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kjUsXuEEIQLLQyGseVkia6bA/3tT3zbUQ61dWnhO7jtp9SmjvKNQSmUMWNMFuqU0W3vXWQGna+xBAEWEkX+nDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:44:51.844599Z"},"content_sha256":"8585f10f9a22c6a8c43c4a0cba900d5f53f7be2fb93ec859bf9fd662f0081f54","schema_version":"1.0","event_id":"sha256:8585f10f9a22c6a8c43c4a0cba900d5f53f7be2fb93ec859bf9fd662f0081f54"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3RJZEWRA5NUTJVHRBOAFIP7K35/bundle.json","state_url":"https://pith.science/pith/3RJZEWRA5NUTJVHRBOAFIP7K35/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3RJZEWRA5NUTJVHRBOAFIP7K35/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":"2026-08-05T20:44:51Z","links":{"resolver":"https://pith.science/pith/3RJZEWRA5NUTJVHRBOAFIP7K35","bundle":"https://pith.science/pith/3RJZEWRA5NUTJVHRBOAFIP7K35/bundle.json","state":"https://pith.science/pith/3RJZEWRA5NUTJVHRBOAFIP7K35/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3RJZEWRA5NUTJVHRBOAFIP7K35/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3RJZEWRA5NUTJVHRBOAFIP7K35","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":"da6908d9dcc7b1b3afe0d166b33bf2ed08c9d04f33e9c8af7dd7e027be4a9988","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-08-04T13:59:44Z","title_canon_sha256":"cfae83e1cffeafd8a56869705a3d211ae292185331b33179216dd0b54c3d23fa"},"schema_version":"1.0","source":{"id":"2608.03692","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.03692","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"arxiv_version","alias_value":"2608.03692v1","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03692","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"pith_short_12","alias_value":"3RJZEWRA5NUT","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"pith_short_16","alias_value":"3RJZEWRA5NUTJVHR","created_at":"2026-08-05T01:36:54Z"},{"alias_kind":"pith_short_8","alias_value":"3RJZEWRA","created_at":"2026-08-05T01:36:54Z"}],"graph_snapshots":[{"event_id":"sha256:8585f10f9a22c6a8c43c4a0cba900d5f53f7be2fb93ec859bf9fd662f0081f54","target":"graph","created_at":"2026-08-05T01:36:54Z","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/2608.03692/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As user behavior histories continue to grow on modern Internet platforms, effectively modeling long behavior sequences has become crucial for predicting user interests in candidate items. Existing methods have evolved along two directions. One line dynamically retrieves target-relevant behaviors from long histories, enabling target-aware modeling but requiring target-dependent computation during inference. The other line compresses entire behavior sequences into compact user representations, achieving high efficiency and scalability but sacrificing target-specific adaptation due to target-inde","authors_text":"Bo Chen, Chaoyi Ma, Enhong Chen, Hao Wang, Jiezhou Ji, Qinglin Jia, Ruiming Tang, Rui Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-08-04T13:59:44Z","title":"SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03692","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":"sha256:362212145031faee5c226c7825645e89095771870cc4f28ad858a2706313ebfb","target":"record","created_at":"2026-08-05T01:36:54Z","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":"da6908d9dcc7b1b3afe0d166b33bf2ed08c9d04f33e9c8af7dd7e027be4a9988","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2026-08-04T13:59:44Z","title_canon_sha256":"cfae83e1cffeafd8a56869705a3d211ae292185331b33179216dd0b54c3d23fa"},"schema_version":"1.0","source":{"id":"2608.03692","kind":"arxiv","version":1}},"canonical_sha256":"dc53925a20eb6934d4f10b80543feadf75e96b59e4fecf070ea9f98035282203","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc53925a20eb6934d4f10b80543feadf75e96b59e4fecf070ea9f98035282203","first_computed_at":"2026-08-05T01:36:54.391934Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T01:36:54.391934Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5se6s1sE+KvX0a7eNI2S/tvBcfPqrIhpqO64EbgsSLxOjseQem+K0e9anxHEU5AL4k9oDLIqPbtW/1MhKu44Dw==","signature_status":"signed_v1","signed_at":"2026-08-05T01:36:54.393316Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.03692","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:362212145031faee5c226c7825645e89095771870cc4f28ad858a2706313ebfb","sha256:8585f10f9a22c6a8c43c4a0cba900d5f53f7be2fb93ec859bf9fd662f0081f54"],"state_sha256":"5f1a080b205dc88b95c3ef6eeb4f84453fd66729816f8e882a855718abf1079c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ko1iT/higRp1TV0C4F8S1ectygEEsLR/cCZr4TpWAiDDaRjM9UurjzMgasgiP7a7/QKJxQtUn5HRbsrU8NDtAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T20:44:51.847098Z","bundle_sha256":"e3d10e9b87dd1381aadf63dc90048048e73d74e4c93afc3cf003bedb95dff423"}}