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No new run proposed.", "upstream_code_status": "No author implementation found in inspected original text or targeted official GitHub search; do not use unrelated MAD-control repository.", "evidence_locations": [ "https://arxiv.org/abs/2609.31644: Submission history v1", "https://arxiv.org/html/2609.31644v1: author affiliations, sections 2.1-2.5, 3.2 and Appendix C", "docs/experiments/mad-rl-mechanism.md: existing diagnostic and incorrect first-publication field", "src/auto_research/post_training/mad_rl.py", "docs/gpu-validations/mad-rl-qwen-choice-a100-20260929.json", "docs/experiments/evidence/mad-rl-qwen-choice-seeds42-44.json" ], "method": "Four category-frequency rewards from L2/forward-KL/reverse-KL/JSD; target distribution and task reward are combined before GRPO; off-support samples retain full-group denominator." }, { "id": null, "title": "Repeat-After-Me: Black-Box Adaptive Visual Prompt Injection", "source": "https://ai.meta.com/research/publications/repeat-after-me-black-box-adaptive-visual-prompt-injection/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-09-07", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 2, checked 2026-10-20T06:08:54.282091+00:00" ] }, { "id": null, "title": "Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis", "source": "https://ai.meta.com/research/publications/alignment-free-text-audiobox-for-voice-dubbing-and-full-duplex-dialogue-synthesis/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-09-06", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 2, checked 2026-10-20T06:08:54.282091+00:00" ] }, { "id": null, "title": "WaiT for the Signal: Simple Frequency-Aware Flow-Matching", "source": "https://ai.meta.com/research/publications/wait-for-the-signal-simple-frequency-aware-flow-matching/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-08-04", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 2, checked 2026-10-20T06:08:54.282091+00:00" ] }, { "id": "2607.25970", "title": "Reinforcement Learning for Code Optimization", "source": "https://ai.meta.com/research/publications/reinforcement-learning-for-code-optimization/", "affiliation": "FAIR at Meta / Inria; first author Pierre Chambon", "directory_date": "2026-07-29", "date": "2026-07-28T16:52:31Z", "date_semantics": "arXiv v1; v2 2026-10-07; Meta directory date 2026-07-29", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "recommend_reference_catalog_not_reproduced_high_cost", "review_level": "bounded_original_method_evaluation_and_resource_review", "fulltext_review_completed": true, "cost_basis": "Original section 4: each online RL run uses 8-32 GPU nodes for hours or days; Qwen2.5 7B/32B and CWM32B plus calibrated remote code execution. This is far above one A100/A30.", "upstream_code_status": "No full method-specific code release confirmed in inspected official text; linked facebookresearch/BigOBench is a prior sandbox baseline, not this new RL pipeline.", "evidence_locations": [ "docs/paper-audits/2026-historical-candidates.json: 2607.25970 P2/query-collision, full_text_review_required=false", "https://arxiv.org/abs/2607.25970: v1/v2 history", "https://arxiv.org/html/2607.25970v1: author affiliations; sections 3-5; Appendix C timing calibration, D reward composition, E offline simulator, F async GRPO" ], "method": "Calibrated isolated timing, correctness-gated speed rewards and percentile scores; offline replay of human programs screens reward/environment settings before GRPO." }, { "id": null, "title": "Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning", "source": "https://ai.meta.com/research/publications/learning-to-reason-by-analogy-via-retrieval-augmented-reinforcement-fine-tuning/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-07-17", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 2, checked 2026-10-20T06:08:54.282091+00:00" ] }, { "id": null, "title": "S-EMBER: A Large-Scale Benchmark for Streaming Egocentric Memory Retrieval", "source": "https://ai.meta.com/research/publications/s-ember-a-large-scale-benchmark-for-streaming-egocentric-memory-retrieval/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-07-13", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": null, "title": "Interpreting Physics in Video World Models", "source": "https://ai.meta.com/research/publications/interpreting-physics-in-video-world-models/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-07-03", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": null, "title": "Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings", "source": "https://ai.meta.com/research/publications/accurate-decoding-of-natural-sentences-from-non-invasive-brain-recordings/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-06-29", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": "2605.06647", "title": "Superintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval", "source": "https://ai.meta.com/research/publications/superintelligent-retrieval-agent-the-next-frontier-of-agentic-retrieval/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-06-05", "date": "2026-05-07", "date_semantics": "catalog original publication date", "current_status": "catalogued", "catalog_key": "sira", "catalog_detail": "agent-research/2605.06647-sira/README.md", "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "preserve_existing_catalog", "review_level": "catalog_linkage_check", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": "2605.29955", "title": "AutoformBot: Formalizing Mathematics at Scale", "source": "https://ai.meta.com/research/publications/autoformbot-formalizing-mathematics-at-scale/", "affiliation": "FAIR at Meta / CERMICS ENPC Institut Polytechnique de Paris; first author Ahmad Rammal", "directory_date": "2026-05-27", "date": "2026-05-28T14:00:22Z", "date_semantics": "arXiv v1; official Meta listing is 2026-05-27, an earlier distinct source date rather than arXiv date", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "recommend_reference_catalog_not_reproduced_high_cost", "review_level": "bounded_original_method_evaluation_and_resource_review", "fulltext_review_completed": true, "cost_basis": "26 textbooks, thousands of agents; approximately one week per book. 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author affiliation not newly verified for this inventory row", "directory_date": "2026-05-26", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": null, "title": "EgoBabyVLM: Benchmarking Cross-Modal Learning from Naturalistic Egocentric Video Data", "source": "https://ai.meta.com/research/publications/egobabyvlm-benchmarking-cross-modal-learning-from-naturalistic-egocentric-video-data/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-05-19", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": null, "title": "GIM: Evaluating models via tasks that integrate multiple cognitive domains", "source": "https://ai.meta.com/research/publications/gim-evaluating-models-via-tasks-that-integrate-multiple-cognitive-domains/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-05-17", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": null, "title": "NeuralSet: A High-Performing Python Package for Neuro-AI", "source": "https://ai.meta.com/research/publications/neuralset-a-high-performing-python-package-for-neuro-ai/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-05-12", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": null, "title": "NeuralBench: A Unifying Framework to Benchmark NeuroAI Models", "source": "https://ai.meta.com/research/publications/neuralbench-a-unifying-framework-to-benchmark-neuroai-models/", "affiliation": "Listed by Meta; author affiliation not newly verified for this inventory row", "directory_date": "2026-05-06", "date": null, "date_semantics": "unresolved original first publication; directory date is not substituted", "current_status": "not_catalogued", "catalog_key": null, "catalog_detail": null, "previous_review_status": "historical", "previous_review_reason": "官方目录所列公开日期早于固定窗口；本批不重复全年历史算法审查，不据此判定是否值得实现。", "decision": "archive_metadata_only_unconfirmed_nonblocking", "review_level": "official_directory_and_frozen_history_identity_check_only", "fulltext_review_completed": false, "cost_basis": null, "upstream_code_status": "not_newly_checked", "evidence_locations": [ "docs/research-audits/oct15-review-closure/meta-source-review.json: exact URL record", "/tmp/oct20-source-delta/retrieval.json: Meta page 3, checked 2026-10-20T06:08:54.543795+00:00" ] }, { "id": "2605.01188", "title": "Compute Optimal Tokenization", "source": "https://ai.meta.com/research/publications/compute-optimal-tokenization/", "affiliation": "FAIR at Meta; 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not newly fetched", "review_resolution": "not_reproduced_high_cost", "review_done": true, "full_article_read": false, "review_level": "bounded_original_resource_gate_check_with_prior_method_review_preserved", "available_resource": "single A100 or A30, or local Mac", "cost_type": "published_configuration_not_local_measurement", "automatic_retry": false, "automatic_implementation_queue": false }, { "id": "2610.09440", "title": "Mixture of Layers: Dynamic Layer Routing for Visual Reasoning", "source": "https://arxiv.org/html/2610.09440v1", "affiliation": "Meta attribution in existing method review; not all nine affiliations independently re-read this pass", "date": "2026-10-07T04:50:48Z", "current_status": "deferred_in_ledger_but_not_catalogued", "old_batch": "20261012-four-track-review-and-frozen16", "old_priority": "P1", "old_reason": "Meta RealityLabs合作MoL textquery引导layer/patchtopk与reservegate，七finevisualbench；表有负增益且BestDelta为variant最大值，需validation选择。", "old_resolution": null, "old_cost_assessment": null, "decision": "not_reproduced_high_cost", "fulltext_review_completed": true, "cost_basis": "AppendixB:4H100NVL training,558K+665K LLaVA or2M Bunny data;13B/8B backbones and multiple routers/ablations.", "evidence_locations": [ "docs/paper-discovery-ledger.json: exact id in old deferred record", "docs/research-audits/oct15-review-closure/implementation-status.json: review_decision known, current_status not_catalogued, empty observations", "https://arxiv.org/html/2610.09440v1: AppendixB hardware and Table7 training recipes" ], "date_semantics": "frozen Oct15 original-published metadata; not newly fetched", "review_resolution": "not_reproduced_high_cost", "review_done": true, "full_article_read": false, "review_level": "bounded_original_resource_gate_check_with_prior_method_review_preserved", "available_resource": "single A100 or A30, or local Mac", "cost_type": "published_configuration_not_local_measurement", "automatic_retry": false, "automatic_implementation_queue": false }, { "id": "2610.10990", "title": "Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models", "source": "https://arxiv.org/html/2610.10990v1", "affiliation": "Meta attribution in existing method review; not all nine affiliations independently re-read this pass", "date": "2026-10-07T23:24:16Z", "current_status": "deferred_in_ledger_but_not_catalogued", "old_batch": "20261012-four-track-review-and-frozen16", "old_priority": "P1", "old_reason": "Meta unified离散dLLM teachertrajectory回放+studentrollout精炼，collision/entropyguidance；LuminaDiMOO8B17benchmark需真实两stage训练。", "old_resolution": null, "old_cost_assessment": null, "decision": "not_reproduced_high_cost", "fulltext_review_completed": true, "cost_basis": "AppendixC.2 Table7:32A100,total110.8h/3546GPU-hours including teacher collection and2trainingstages.", "evidence_locations": [ "docs/paper-discovery-ledger.json: exact id in old deferred record", "docs/research-audits/oct15-review-closure/implementation-status.json: review_decision known, current_status not_catalogued, empty observations", "https://arxiv.org/html/2610.10990v1: AppendixC.2 Tables7-8" ], "date_semantics": "frozen Oct15 original-published metadata; not newly fetched", "review_resolution": "not_reproduced_high_cost", "review_done": true, "full_article_read": false, "review_level": "bounded_original_resource_gate_check_with_prior_method_review_preserved", "available_resource": "single A100 or A30, or local Mac", "cost_type": "published_configuration_not_local_measurement", "automatic_retry": false, "automatic_implementation_queue": false }, { "id": "2610.11019", "title": "Mid-Training Language Models on Raw Video", "source": "https://arxiv.org/html/2610.11019v1", "affiliation": "Meta AI / Massachusetts Institute of Technology; first author Jaedong Hwang, work done at Meta", "date": "2026-10-08T00:03:39Z", "current_status": "deferred_in_ledger_but_not_catalogued", "old_batch": "20261012-four-track-review-and-frozen16", "old_priority": "P1", "old_reason": "Meta rawvideo连续nexttoken回归且targetstopgrad，再matchedimage-textSFT；64.4B视觉tokens/128H100，语言保真只对matchedarm，未实现。", "old_resolution": null, "old_cost_assessment": null, "decision": "recommend_reference_catalog_not_reproduced_high_cost", "fulltext_review_completed": true, "cost_basis": "Original section4.1.4: end-to-end27300updates over128H100, batch256,16kcontext, plus matched instruction tuning. No download or run.", "evidence_locations": [ "https://arxiv.org/abs/2610.11019: v1 history", "https://arxiv.org/html/2610.11019v1: affiliations; section3 next-token objective; section4.1.4 training", "https://jd730.github.io/projects/RawVideoMidTraining/: project source links", "docs/research-audits/oct15-review-closure/implementation-status.json: not_catalogued" ], "method": "Continuous visual-token next-step regression, stop-gradient targets, causal LM and end-to-end visual encoder/projector; matched image-text instruction tuning preserves control boundary.", "upstream_code_status": "Author project page https://jd730.github.io/projects/RawVideoMidTraining/ inspected; no source-code release link found there or original method page.", "review_resolution": "not_reproduced_high_cost", "review_done": true, "full_article_read": false, "automatic_retry": false, "automatic_implementation_queue": false }, { "id": "2610.11316", "title": "MetaEncoder: Exploring the Limit of Bi-Encoders for Multimodal System One Decision Making with Natural Language Interface", "source": "https://arxiv.org/html/2610.11316v1", "affiliation": "Meta AI; first author Jianpeng Cheng", "date": "2026-10-08T06:22:48Z", "current_status": "deferred_in_ledger_but_not_catalogued", "old_batch": "20261012-four-track-review-and-frozen16", "old_priority": "P1", "old_reason": "Meta AI自然语言SystemOne双塔决策编码器，Muse-Glimmer30B与单向contrastive候选对齐，190任务/11suite需真实checkpoint候选检索实现和GPU评测；保留下一批优先。", "old_resolution": null, "old_cost_assessment": null, "decision": "recommend_reference_catalog_not_reproduced_high_cost", "fulltext_review_completed": true, "cost_basis": "Official eval README: 30B model about62GB bf16 per GPU, intended8x80GB; several hundredGB MMEB-V2 data,190tasks. No download or run.", "evidence_locations": [ "https://arxiv.org/abs/2610.11316: v1 history", "https://arxiv.org/html/2610.11316v1: author block; sections3.1-3.3 and4", "https://github.com/facebook/meta-encoder-eval: README setup, resource and data requirements", "docs/research-audits/oct15-review-closure/implementation-status.json: not_catalogued" ], "method": "Last-token normalized bi-encoder, natural-language request/candidates, one-way contrastive objective with closed-option negatives/open-batch deduplicated negatives and prompt option dropout.", "upstream_code_status": "Evaluation code Apache2: https://github.com/facebook/meta-encoder-eval ; official checkpoint https://huggingface.co/facebook/meta-encoder ; no pretraining implementation claim.", "review_resolution": "not_reproduced_high_cost", "review_done": true, "full_article_read": false, "automatic_retry": false, "automatic_implementation_queue": false }, { "id": "2610.13886", "title": "X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems", "source": "https://arxiv.org/html/2610.13886v1", "affiliation": "Meta attribution in existing method review; not all nine affiliations independently re-read this pass", "date": "2026-10-09T17:34:44Z", "current_status": "deferred_in_ledger_but_not_catalogued", "old_batch": "20261012-four-track-review-and-frozen16", "old_priority": "P1", "old_reason": "Meta 优先。HarmFlow将工具前提/效果/危害建成有向图，反向采样并以真实执行反馈替换工具和修复阻塞前提；已读§3与§4缓存段。ToolSimulator30服务914工具、4模型的有害路径/覆盖率评测，不是生产A/B。下一批须隔离工具权限、复核双judge，依赖链接不能冒认为本论文开源。", "old_resolution": null, "old_cost_assessment": null, "decision": "not_reproduced_high_cost", "fulltext_review_completed": true, "cost_basis": "4frontier target agents x250scenarios,30services914tools; Opus4.8simulator/redteam,dualjudge;22.10generationAPIcalls/scenario excludes execution/judging; costs multiply for baselines.", "evidence_locations": [ "docs/paper-discovery-ledger.json: exact id in old deferred record", "docs/research-audits/oct15-review-closure/implementation-status.json: review_decision known, current_status not_catalogued, empty observations", "https://arxiv.org/html/2610.13886v1: sections4.1 and4.6", "https://arxiv.org/html/2610.13886v1: AppendixB.4 generation cost accounting" ], "date_semantics": "frozen Oct15 original-published metadata; not newly fetched", "review_resolution": "not_reproduced_high_cost", "review_done": true, "full_article_read": false, "review_level": "bounded_original_resource_gate_check_with_prior_method_review_preserved", "available_resource": "single A100 or A30, or local Mac", "cost_type": "published_configuration_not_local_measurement", "automatic_retry": false, "automatic_implementation_queue": false } ], "findings": [ "Date-only historical triage is not a method/evidence/cost rejection.", "known based on ledger existence did not imply implementation or terminal high-cost disposition for the nine cases.", "MaD-RL already has diagnostics and negative A100 evidence; repair linkage/date rather than duplicating implementation.", "High-cost completed review remains terminal/not-reproduced; this inventory does not revive it.", "Metadata-only/unconfirmed records remain explicitly archived and do not claim fulltextDONE or source-exhaustive review.", "All nine old accepted/deferred cases received bounded original resource review this pass and are high-cost not-reproduced terminal decisions. The original snapshots are not rewritten; no original experiment was run." ], "all_nine_pending_cases_now_resource_reviewed": true }