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Paper Citation Record · LEDGER

Capturing the Effects of Quantization on Trojans in Code LLMs

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.14200.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.14200 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:34.376268Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact2
  • verified fuzzy15
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 375aa8cc-2ce1-4501-8ac9-65ef79ee61b6 · outbound

This paper cites Attention is all you need,.

Capturing the Effects of Quantization on Trojans in Code LLMs Attention is all you need,

Reference 1

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no resolver link, observed 2026-08-07T15:42:30.262344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:30.262344Z digest=sha256:5c119cf7d48834c688894ef50ffca7305c5e4957e691da641dfb72b01f0df552

Observation dde0b3e4-d73b-453e-83fb-a4958d9f82e0 · outbound

This paper cites A Comprehensive Evaluation of Quantization Strategies for Large Language Models.

Capturing the Effects of Quantization on Trojans in Code LLMs A Comprehensive Evaluation of Quantization Strategies for Large Language Models

Reference 2

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unresolved
no resolver link, observed 2026-08-07T15:42:30.404491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:30.404491Z digest=sha256:ca4473f3e08aeadbbaeeb10d79f2f311a7465e9ae9289051ee6c2a146b9c9211

Observation 09fcb522-af97-46a6-95b5-432fbf647404 · outbound

This paper cites Integer quantization for deep learning inference: Principles and empirical evaluation,.

Capturing the Effects of Quantization on Trojans in Code LLMs Integer quantization for deep learning inference: Principles and empirical evaluation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:38.416581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:30.575151Z digest=sha256:403f736757fa77e21c6f9368885298f58a6d628131a740b688e9e75bae21f652

Observation 561ba6a9-6727-4560-b0a7-4239ef011ba8 · outbound

This paper cites On the robustness of neural networks quantization against data poisoning attacks,.

Capturing the Effects of Quantization on Trojans in Code LLMs On the robustness of neural networks quantization against data poisoning attacks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:38.208133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:30.761371Z digest=sha256:7a39e712132cc206c37bfab7360287d9149dec5a03b39673fd63f4b3c178d345

Observation 3ec88cc9-352e-4243-85aa-74d3599b6476 · outbound

This paper cites You autocomplete me: Poisoning vulnerabilities in neural code completion,.

Capturing the Effects of Quantization on Trojans in Code LLMs You autocomplete me: Poisoning vulnerabilities in neural code completion,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.956502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:30.991966Z digest=sha256:1020feb8af3c4dc1bc42a094e70788468b86e4104597c4409d58f99c67d36716

Observation a0ce2736-b064-4db3-a991-6019a289423d · outbound

This paper cites Measuring impacts of poisoning on model parameters and embeddings for large language models of code,.

Capturing the Effects of Quantization on Trojans in Code LLMs Measuring impacts of poisoning on model parameters and embeddings for large language models of code,

Reference 6

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unresolved
no resolver link, observed 2026-08-07T15:42:31.079004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:31.079004Z digest=sha256:98aedc3672a95e250d95116d797060728e192270173d52e9fae4d088905dadcc

Observation a32ca191-4a49-4dd7-a2d8-3be0185aed76 · outbound

This paper cites Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy.

Capturing the Effects of Quantization on Trojans in Code LLMs Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:34.998199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:31.187107Z digest=sha256:47e3fb6c1f7ef87654fea0f5e1b21f4c17fbc9d8680b21c6d67ff4b97489bde4

Observation 020355e3-566b-4438-867b-12e2aaaddd16 · outbound

This paper cites Multi-target backdoor attacks for code pre-trained models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Multi-target backdoor attacks for code pre-trained models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.774470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:31.289033Z digest=sha256:d3f090717d2950450f5150cb4705e5e6d01d2d6d6068397b68379178e3033633

Observation ff34804d-327a-4f35-9d60-36d44a9a2d52 · outbound

This paper cites Poison attack and defense on deep source code processing models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Poison attack and defense on deep source code processing models,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.540359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:31.477837Z digest=sha256:6a87a22ea5a11ddf171269bb849a83d7b20b512e9b468c791f8ba142e5230ca5

Observation 59800024-2f50-4d9e-bd32-c9080cb2eb40 · outbound

This paper cites Trojllm: A black-box trojan prompt attack on large language models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Trojllm: A black-box trojan prompt attack on large language models,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.365913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:31.628928Z digest=sha256:bd29d6362872541a1020a7a07c80d320116795c5e61c3eebbee906c82e506a93

Observation d52854cf-0f9e-48b2-be5f-a6febb477512 · outbound

This paper cites You see what i want you to see: Poisoning vulnerabilities in neural code search,.

Capturing the Effects of Quantization on Trojans in Code LLMs You see what i want you to see: Poisoning vulnerabilities in neural code search,

Reference 11

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no resolver link, observed 2026-08-07T15:42:31.866638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:31.866638Z digest=sha256:11491576fd7e6b0a0cdf63f2a6f766eb156a6976b6814cce74bd3c6e641cef05

Observation bbe84a91-61b9-4eac-ae56-84ea61bda778 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Capturing the Effects of Quantization on Trojans in Code LLMs QLoRA: Efficient Finetuning of Quantized LLMs

Reference 12

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no resolver link, observed 2026-08-07T15:42:32.063189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.063189Z digest=sha256:4bd47b53b942e01e0fc6bce696802e64d42192af1d316f8a4b14e5a17b62b949

Observation 57559469-cade-4b16-b907-f30ace7a2737 · outbound

This paper cites sql-create-context dataset,.

Capturing the Effects of Quantization on Trojans in Code LLMs sql-create-context dataset,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.200132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:32.247253Z digest=sha256:82603cb63596243428b912ed69372965dc7fe4907c0317d03499414b255017a5

Observation 65d5757f-1e2f-4896-bcc4-8f11b3a42431 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Capturing the Effects of Quantization on Trojans in Code LLMs Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 14

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no resolver link, observed 2026-08-07T15:42:32.400534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.400534Z digest=sha256:32a2bad1851dae6e2003f7dd204f98bb1a218fe49fde68bab81854449c501cd7

Observation 2626c665-7646-4069-95d7-9c90822c3c9f · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Capturing the Effects of Quantization on Trojans in Code LLMs Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 15

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unresolved
no resolver link, observed 2026-08-07T15:42:32.512688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.512688Z digest=sha256:e313d31c49865a37167cb9b7d506f0cff2be1dae2c70a6cc80de42d306979d95

Observation 0f31dd11-f59c-4783-9dd3-d5021601b963 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Llama 2: Open foundation and fine-tuned chat models,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.975391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:32.658696Z digest=sha256:e3108cecfd286ce602f79f36a66e7932aacc0d99a100d142ba6e08bc582b17c9

Observation a0495356-7d84-46a1-af56-7c10ab19d66a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Capturing the Effects of Quantization on Trojans in Code LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 17

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unresolved
no resolver link, observed 2026-08-07T15:42:32.812219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.812219Z digest=sha256:f08a05a67744cba124ac6e028dafeb3009fc549069c8bc02cbfefefabc9d59c5

Observation eb515eff-2864-41a6-b60f-489258055f4d · outbound

This paper cites GLU Variants Improve Transformer.

Capturing the Effects of Quantization on Trojans in Code LLMs GLU Variants Improve Transformer

Reference 18

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no resolver link, observed 2026-08-07T15:42:32.887928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.887928Z digest=sha256:086f432ed502f6b4c0588915d4dd4b3294f3c4bd3f8431c87cd4642e05d9f99a

Observation 019c5607-61df-436a-9a95-c526d7d55d21 · outbound

This paper cites CCNet: Extracting high quality monolingual datasets from web crawl data,.

Capturing the Effects of Quantization on Trojans in Code LLMs CCNet: Extracting high quality monolingual datasets from web crawl data,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.750670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:32.984739Z digest=sha256:253f736eea2d479b531997be08cc70a6fab373f6c6de3f540007badb9cd0806d

Observation 66138ae3-3f56-438b-b686-34309e9df5a8 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Capturing the Effects of Quantization on Trojans in Code LLMs Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 20

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no resolver link, observed 2026-08-07T15:42:33.047229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.047229Z digest=sha256:2de5d2acf7312e97c7823f26ab48ebb90471eae8e9eb3535076a7709f7c77a46

Observation 42e14e8f-fb5a-4e47-873a-2d7831c0b79c · outbound

This paper cites GQA: Training generalized multi-query transformer models from multi-head checkpoints,.

Capturing the Effects of Quantization on Trojans in Code LLMs GQA: Training generalized multi-query transformer models from multi-head checkpoints,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.545857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:33.133640Z digest=sha256:6832bf0d3fc6a21befcee10980b58768855e6351ac9bb60d16714681e4513391

Observation c8cc307a-bd47-4e4d-8d40-d1bcf628f0f0 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Capturing the Effects of Quantization on Trojans in Code LLMs Code Llama: Open Foundation Models for Code

Reference 22

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no resolver link, observed 2026-08-07T15:42:33.224230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.224230Z digest=sha256:3ed117b816f895f38d61c44f35dadf9ce65c8b69d06c92d748167ce32d2d441a

Observation 4f6afe33-a889-4226-b16e-e530ab6a32a6 · outbound

This paper cites Bitsandbytes documentation,.

Capturing the Effects of Quantization on Trojans in Code LLMs Bitsandbytes documentation,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.339671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:33.312753Z digest=sha256:f522aaf2d62f143772e5f14b2e961a63c1fff125b8449c8b52b366f0f117c1ab

Observation 5ca1f12b-49a3-4ecb-bce0-ae1b85379d40 · outbound

This paper cites Code llama finetuning,.

Capturing the Effects of Quantization on Trojans in Code LLMs Code llama finetuning,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.072539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:33.391283Z digest=sha256:ab8bfdf8396bde5c8af23abc6f43ba214f92335353a6bec12ef3c91553d66fae

Observation 48a1cd91-647d-45fc-ba4f-6df4f5e40709 · outbound

This paper cites Binary codes capable of correcting deletions, insertions and reversals,.

Capturing the Effects of Quantization on Trojans in Code LLMs Binary codes capable of correcting deletions, insertions and reversals,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:35.864682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:33.485387Z digest=sha256:09aaeca10712d7cc663b8c6e958ba181e5441d2420bdd9a078fbf79536cc9f3a

Observation 3d037bbf-b52b-4b0c-8d35-87ca4f1ac8a4 · outbound

This paper cites Survey of hallucination in natural language generation,.

Capturing the Effects of Quantization on Trojans in Code LLMs Survey of hallucination in natural language generation,

Reference 26

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no resolver link, observed 2026-08-07T15:42:33.593477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.593477Z digest=sha256:72af6916471d0c2d628e5bbb3104a9fa2c22c3b5381573b7aaf0e7afcb0a99e0

Observation 56f2279b-e654-4512-8a69-97fb70c3d9a5 · outbound

This paper cites Memory efficient with parameter efficient fine-tuning for code generation using quantization,.

Capturing the Effects of Quantization on Trojans in Code LLMs Memory efficient with parameter efficient fine-tuning for code generation using quantization,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:35.595475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:33.684204Z digest=sha256:b3247c7fee3364b44731799762d80558cf853fa36bc2e64c60577e57fcafd031

Observation 92af7283-00e1-4855-a887-62929eaa09d9 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Capturing the Effects of Quantization on Trojans in Code LLMs Textbooks Are All You Need II: phi-1.5 technical report

Reference 28

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unresolved
no resolver link, observed 2026-08-07T15:42:33.773700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.773700Z digest=sha256:abe4e9ce21e8173d3f48b5231fe56132278e15de41a21aebac7033e468ac623b

Observation cc6bc333-5290-473c-a4f2-f80ecb8e2008 · outbound

This paper cites Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks.

Capturing the Effects of Quantization on Trojans in Code LLMs Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:34.702908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:33.853560Z digest=sha256:0b26085037ec8b1555d4a40d0dddcb9c5682b5c2b1a657d96a7c39d1d114d3a7

Observation 25ecee65-390f-420a-b5c5-cd110916fba7 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Capturing the Effects of Quantization on Trojans in Code LLMs Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:33.938538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.938538Z digest=sha256:2553a6fee9d5f977e6ece2a950c2bea4edeed10e22b83f88c1e0948fc2ffb0de

Observation 47ea5bbd-f239-4a48-a3a9-1486116a131f · outbound

This paper cites Emmark: Robust watermarks for ip protection of embedded quantized large language models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Emmark: Robust watermarks for ip protection of embedded quantized large language models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:35.368021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:34.038229Z digest=sha256:a61d17c7cc74b524070f34fad46f1226c0674824b7bcd1582a1b1cc163c4e872

Observation 77134fd2-c8aa-4bf0-8b65-4e9cf909f74f · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Capturing the Effects of Quantization on Trojans in Code LLMs OPT: Open Pre-trained Transformer Language Models

Reference 32

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unresolved
no resolver link, observed 2026-08-07T15:42:34.206567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.206567Z digest=sha256:2b8bc7aa41888aad51b36e9a08998c8e865a6354c49857a2d260094eeec8ede4

Observation 059b4cc0-524a-4a05-9290-2ae27bc5f4a9 · outbound

This paper cites Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes.

Capturing the Effects of Quantization on Trojans in Code LLMs Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 33

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unresolved
no resolver link, observed 2026-08-07T15:42:34.282788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.282788Z digest=sha256:20f7dbb36742a4cb9b7c671ebd99598e1e6eb9bd6945ee824a4a842f0fe8bae1

Observation 62224988-fca9-48aa-8b5f-3bfcbe3514f5 · outbound

This paper cites Catastrophic Failure of LLM Unlearning via Quantization.

Capturing the Effects of Quantization on Trojans in Code LLMs Catastrophic Failure of LLM Unlearning via Quantization

Reference 34

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unresolved
no resolver link, observed 2026-08-07T15:42:34.376268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.376268Z digest=sha256:b5e66977dc2162cd11d122e024079a9ce1c84c0ec036dc49535ad8f23528397e

Observation 9658d3c1-1430-4f0f-93f7-7a8a5203c79c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Capturing the Effects of Quantization on Trojans in Code LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T15:42:32.737041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.737041Z digest=sha256:25cdc9b5e7d34d476b64a2c55812419de63ca84e201c6c082cfee291b4497bfb

Observation 84c367b8-3c49-425e-8d5e-87021cee708e · outbound

This paper cites Available: https://doi.org/10.1145/3649329.3655674.

Capturing the Effects of Quantization on Trojans in Code LLMs Available: https://doi.org/10.1145/3649329.3655674

Reference 2024

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unresolved
no resolver link, observed 2026-08-07T15:42:34.123754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.123754Z digest=sha256:53a87c414e92c0cdb10e0040e1444037777db6cc648f2ff06dce8a51249d1bda

Pith citing papers

No inbound Pith citation observations are available.