Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:39:06.950528Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2606.29239.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:39:06.950528Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
65 of 65 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 36934a92-c645-4fbb-ba07-905affb68c06 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Program Synthesis with Large Language Models
Reference 1
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Unavailable: canonical work link unavailable.
Observation 0c1d824d-9e4b-4062-bf2d-dbf15d1a24d6 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 2
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Observation 2ea281c1-6056-4af4-8f05-dde42c31f779 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 3
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Observation 319f95e2-2f62-4472-a14f-bd8eece64143 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 4
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Observation 5dd315f6-9981-4f17-b706-2f167e5d1a39 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 5
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Observation 78679b8a-5bfe-4d0d-80e7-f40bdfb307bc · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Evaluating Large Language Models Trained on Code
Reference 6
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Observation 92d92d21-26dd-4d56-9ece-cb7a4fa78880 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 7
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Unavailable: canonical work link unavailable.
Observation 5b180023-83ce-44dd-8478-b204b16bc4b1 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer
Reference 8
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Observation 35c2494c-1e3b-465b-a39a-9a1225fb63a4 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 9
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Observation 96d7f9ab-6d95-4dba-ba57-645f11e5c4c8 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 10
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Observation 15942fa1-d2a4-4596-846a-f69e36decc2c · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 11
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Observation 0aecf33f-edd4-4a05-b67c-7528b43fce87 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 12
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Observation 255ef6a3-57ff-4779-a5ac-7d78fb91c602 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 13
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Observation e4593d4f-6294-46d8-8bb2-d4da930921f9 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 14
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Observation a37e7a8f-29ce-45ad-818b-9a0fffe88d7f · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Extreme Compression of Large Language Models via Additive Quantization
Reference 15
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Observation 72fe3862-4485-45bb-8291-21d000520c63 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 16
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Observation 20db30bb-8fd9-4a5a-9086-21d66e0f8723 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 17
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Observation 8480d2e4-5e98-42ad-8a3e-62c754a476ec · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 18
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Observation fd7dbe77-5600-42df-8f65-6aab331b6f73 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 19
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Observation 19a02e5b-26cb-47bb-b991-2e2ae0313a94 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors The Llama 3 Herd of Models
Reference 20
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Observation 65d88f27-f3d0-451b-9d00-2c6577659aaf · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Reference 21
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Observation 029ee923-31a4-4fa1-8b61-48253b8588ff · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 22
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Observation 3556abdc-e3a8-4680-a851-2eb222aff125 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Instruction Tuning for Secure Code Generation
Reference 23
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Observation 8355c07e-1cbb-452d-8442-021ec56e0a70 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Measuring Massive Multitask Language Understanding
Reference 24
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Observation bd5e4d41-695f-4de9-a81a-798a09381804 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 25
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Observation 6f66adec-ecbd-4e0b-84ae-ab3aa9d56b1c · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 26
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Observation aa9d9f45-dc75-4f76-8620-362380762b89 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Qwen2.5-Coder Technical Report
Reference 27
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Observation c20f9ec6-abf4-4204-96c0-aec69939b431 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 28
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Observation 8561c30d-c4c5-49c1-a2ea-07e0f34365ed · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 29
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Observation 3113d37a-1d68-4444-8375-c080fee56e41 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 30
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Observation 24e174d7-1bf1-479e-9307-98fe7a9c0d75 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 31
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Observation 9c38e304-bc75-4b02-9013-0423232b8b12 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 32
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Observation 7ef01487-8e9a-40fd-87b4-d33aabc6009a · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors StarCoder: may the source be with you!
Reference 33
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Observation 9733a2fc-63dd-46f3-b2c0-116e4bef4119 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 34
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Observation d978f87d-7170-4504-83b2-d479b70b8fe3 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models
Reference 35
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Observation 5b44b465-6443-4058-8db8-65c8c7abd71a · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 36
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Observation 3be2cccb-f0af-4cde-b2b7-71a718ac9646 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors TruthfulQA: Measuring How Models Mimic Human Falsehoods
Reference 37
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Observation 80915764-af89-4427-9f5b-d1fa29ec4df6 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors DeepSeek-V3 Technical Report
Reference 38
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Observation 4f6dcae9-3473-4f9b-9448-d882b1842719 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 39
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Observation 6e5740c5-124e-4846-b72f-8571c5924488 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors LLM-FP4: 4-Bit Floating-Point Quantized Transformers
Reference 40
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Observation 118832ff-bd1f-4525-9879-ec1759be0597 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 41
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Observation a64c0b42-e4f8-487a-80d4-60f3e1b3190a · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 42
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Observation dffce3c2-8323-41f4-96b8-1ea8448a618e · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
Reference 43
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Observation 0eaa2180-229b-4612-8957-721dc492c558 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors A White Paper on Neural Network Quantization
Reference 44
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Observation f3953c27-714d-44a2-8d84-534447a670cc · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 45
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Observation 4dc36200-cdbd-4c26-bc26-8f9441dd7c09 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 46
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Observation 46182a53-071e-47f7-b051-d958ddd74859 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Instruction Tuning with GPT-4
Reference 47
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Observation 38487433-405a-403a-b6d0-5edb3dbf308e · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 48
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Observation 016172c3-8928-4629-9e68-4d6ae640d5c6 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 49
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Observation 25575c36-0612-48f0-bdea-4826d0d81d1e · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 50
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Observation 8def3c6e-915a-484f-bd56-82b2d7efd9cf · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 51
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Observation 38d2f7f6-5c06-442c-8c8b-ac8bcc26e93d · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Tamper-Resistant Safeguards for Open-Weight LLMs
Reference 52
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Observation 7d6fd858-4943-4f92-827a-4df71709431c · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Hashimoto
Reference 53
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Observation f2cbbdd3-f912-49a5-8799-b1f1ab8857db · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Gemma: Open Models Based on Gemini Research and Technology
Reference 54
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Observation 2908755f-1af7-47a9-899c-b31d091b6188 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 55
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Observation 35c3cb1a-7894-4b62-8e4a-cde047d5c17c · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers
Reference 56
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Observation baf5f170-7c2e-4782-985c-c1ae06ee600f · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 57
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Observation 942c0ee4-4f59-4772-bf26-c1a4fab2c2e7 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 58
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Observation a8bfbbda-171a-45cb-b06d-dc3413db026b · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 59
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Observation 31690c6c-4c21-4b05-a511-bc5304e931fd · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
Reference 60
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Observation 7176a759-6b1b-400a-b518-bb138610f11b · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 61
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Observation 7abc2ff2-f853-4ad9-a7b2-066c954940f6 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Unresolved cited work
Reference 62
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Observation 7b47a274-c1bd-43bc-9e01-d7e2b50e540e · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations
Reference 63
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Observation cb627b55-4ce5-4f49-893d-9fef2e5fb230 · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors HuggingFace's Transformers: State-of-the-art Natural Language Processing
Reference 2019
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Observation 2ffb68da-a4c3-4fcd-a6df-c68a5d8a349e · outbound
Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Mind the Gap: A Practical Attack on GGUF Quantization
Reference 2025
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No inbound Pith citation observations are available.