{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GI5QSDTFNNAW73MIPWFFKOB5VX","short_pith_number":"pith:GI5QSDTF","canonical_record":{"source":{"id":"2407.13481","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T13:00:30Z","cross_cats_sorted":[],"title_canon_sha256":"639741f136e5c361df6f984263fbdc1788f337e75e741fc1bbc20236fa47f0f6","abstract_canon_sha256":"6e3433cc03ec5c3116cf9e33ccae324833e0fbafaf0c17d76e70ab9b4b230300"},"schema_version":"1.0"},"canonical_sha256":"323b090e656b416fed887d8a55383dadd672841af0bf4f03efaa0eeb62b65ac1","source":{"kind":"arxiv","id":"2407.13481","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.13481","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"arxiv_version","alias_value":"2407.13481v1","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.13481","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_12","alias_value":"GI5QSDTFNNAW","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_16","alias_value":"GI5QSDTFNNAW73MI","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_8","alias_value":"GI5QSDTF","created_at":"2026-07-05T08:45:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GI5QSDTFNNAW73MIPWFFKOB5VX","target":"record","payload":{"canonical_record":{"source":{"id":"2407.13481","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T13:00:30Z","cross_cats_sorted":[],"title_canon_sha256":"639741f136e5c361df6f984263fbdc1788f337e75e741fc1bbc20236fa47f0f6","abstract_canon_sha256":"6e3433cc03ec5c3116cf9e33ccae324833e0fbafaf0c17d76e70ab9b4b230300"},"schema_version":"1.0"},"canonical_sha256":"323b090e656b416fed887d8a55383dadd672841af0bf4f03efaa0eeb62b65ac1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:45:39.602856Z","signature_b64":"h9Mwra/Qw7WDiesso+6P8nDiTZkIa0+KaxuhVI8mM6Wk+394ovSS8ZHAfGlP3pJbl9KdcUlUMCahRTMD3Yd9CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"323b090e656b416fed887d8a55383dadd672841af0bf4f03efaa0eeb62b65ac1","last_reissued_at":"2026-07-05T08:45:39.602403Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:45:39.602403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.13481","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":"2026-07-05T08:45:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xKzCEGtXhAFMtJhyQCzi29KUkXJNnCmLlMOhmHuwW21WnMi0wTrrjyo5WJ4N7OCFNcjlolyFL4QDq9e8IHvIAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:11:11.140244Z"},"content_sha256":"0117d7f48ab5a0477ab00e7a94322cf607b7c249c154264a3ae4fc81c2bbe876","schema_version":"1.0","event_id":"sha256:0117d7f48ab5a0477ab00e7a94322cf607b7c249c154264a3ae4fc81c2bbe876"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GI5QSDTFNNAW73MIPWFFKOB5VX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Damien Sileo","submitted_at":"2024-07-18T13:00:30Z","abstract_excerpt":"Large language models (LLMs) can suggest missing elements from items listed in a prompt, which can be used for list completion or recommendations based on users' history. However, their performance degrades when presented with too many items, as they start to suggest items already included in the input list. This occurs at around 100 items for mid-2024 flagship LLMs. We evaluate this phenomenon on both synthetic problems (e.g., finding missing numbers in a given range of shuffled integers) and realistic movie recommendation scenarios. We refer to this issue as \\textit{attention overflow}, as p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.13481","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/2407.13481/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":"2026-07-05T08:45:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lc9tZ4zUv1+FGCOPQbrMD4/qlU2pWHIkiVKoQQmgiTA3XS3SanRna9qpkbGBEODKDnb98j27tDsLsiJpIXdiCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:11:11.140759Z"},"content_sha256":"8df50bac6ec649189abeadbfaa08a2aaf9cd0976f0cd9388fa4feedc08ddb225","schema_version":"1.0","event_id":"sha256:8df50bac6ec649189abeadbfaa08a2aaf9cd0976f0cd9388fa4feedc08ddb225"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GI5QSDTFNNAW73MIPWFFKOB5VX/bundle.json","state_url":"https://pith.science/pith/GI5QSDTFNNAW73MIPWFFKOB5VX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GI5QSDTFNNAW73MIPWFFKOB5VX/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":"2026-08-09T11:11:11Z","links":{"resolver":"https://pith.science/pith/GI5QSDTFNNAW73MIPWFFKOB5VX","bundle":"https://pith.science/pith/GI5QSDTFNNAW73MIPWFFKOB5VX/bundle.json","state":"https://pith.science/pith/GI5QSDTFNNAW73MIPWFFKOB5VX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GI5QSDTFNNAW73MIPWFFKOB5VX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GI5QSDTFNNAW73MIPWFFKOB5VX","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":"6e3433cc03ec5c3116cf9e33ccae324833e0fbafaf0c17d76e70ab9b4b230300","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T13:00:30Z","title_canon_sha256":"639741f136e5c361df6f984263fbdc1788f337e75e741fc1bbc20236fa47f0f6"},"schema_version":"1.0","source":{"id":"2407.13481","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.13481","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"arxiv_version","alias_value":"2407.13481v1","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.13481","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_12","alias_value":"GI5QSDTFNNAW","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_16","alias_value":"GI5QSDTFNNAW73MI","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_8","alias_value":"GI5QSDTF","created_at":"2026-07-05T08:45:39Z"}],"graph_snapshots":[{"event_id":"sha256:8df50bac6ec649189abeadbfaa08a2aaf9cd0976f0cd9388fa4feedc08ddb225","target":"graph","created_at":"2026-07-05T08:45:39Z","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/2407.13481/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) can suggest missing elements from items listed in a prompt, which can be used for list completion or recommendations based on users' history. However, their performance degrades when presented with too many items, as they start to suggest items already included in the input list. This occurs at around 100 items for mid-2024 flagship LLMs. We evaluate this phenomenon on both synthetic problems (e.g., finding missing numbers in a given range of shuffled integers) and realistic movie recommendation scenarios. We refer to this issue as \\textit{attention overflow}, as p","authors_text":"Damien Sileo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T13:00:30Z","title":"Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.13481","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":"sha256:0117d7f48ab5a0477ab00e7a94322cf607b7c249c154264a3ae4fc81c2bbe876","target":"record","created_at":"2026-07-05T08:45:39Z","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":"6e3433cc03ec5c3116cf9e33ccae324833e0fbafaf0c17d76e70ab9b4b230300","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T13:00:30Z","title_canon_sha256":"639741f136e5c361df6f984263fbdc1788f337e75e741fc1bbc20236fa47f0f6"},"schema_version":"1.0","source":{"id":"2407.13481","kind":"arxiv","version":1}},"canonical_sha256":"323b090e656b416fed887d8a55383dadd672841af0bf4f03efaa0eeb62b65ac1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"323b090e656b416fed887d8a55383dadd672841af0bf4f03efaa0eeb62b65ac1","first_computed_at":"2026-07-05T08:45:39.602403Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:39.602403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h9Mwra/Qw7WDiesso+6P8nDiTZkIa0+KaxuhVI8mM6Wk+394ovSS8ZHAfGlP3pJbl9KdcUlUMCahRTMD3Yd9CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:39.602856Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.13481","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0117d7f48ab5a0477ab00e7a94322cf607b7c249c154264a3ae4fc81c2bbe876","sha256:8df50bac6ec649189abeadbfaa08a2aaf9cd0976f0cd9388fa4feedc08ddb225"],"state_sha256":"8e6ca162b46221374b7736233b8a089d136ea87d965ce72e967f501a3b0209cc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N9lGFmj8FIt8jbPndTjsCtEytZ2xWx4tISX0bqYp0ybekoFedUZzwikVOStSQrdR6r9cdrhD57jZove5xLhGCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:11:11.145325Z","bundle_sha256":"f1c41c7d6fc23e30009b12403dea7c8badf1b2312ccc1dff5282f329752dc2b6"}}