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Paper Citation Record · LEDGER

Capturing the Effects of Quantization on Trojans in Code LLMs

As of 18 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 2026-08-18T06:34:40.430872+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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unresolved
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=sha256:00e2958d933b71924080c6da779eaa47daed6da7e9e59caf04125add4baa0e7c

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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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=sha256:1ab16b7c0a31e62dd3c3445c6a50f0f5bf96c3dc98d6f138930ed2283fde1d3c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:30.575151Z digest=sha256:7e2527c8ae010efacd3789a1f80173049433288121c43fa446124cad43a6276e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:30.761371Z digest=sha256:a4b765de99883138bdc92af0615c641a4427783e5f04d663b85b89fbf8dba09a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:30.991966Z digest=sha256:0d35c5209506d0da388746fe5494cc4d2d5b293d8590830640f9f50a701cc58f

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=sha256:3cd780bd4d3650f868a776129e88c01b1ee396a0dbd6579031c01c8e7bfddeb5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:31.187107Z digest=sha256:3142f0e68b53b672a4f2cdac9736685938c4d9d66b011d934fa1a02a718f92ba

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:31.289033Z digest=sha256:bdb8231bc44b31070b7cfc5a76f678a8a8e2569f642b208b91de0fd3b7960bf8

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:31.477837Z digest=sha256:87f3f62e29c222ac3b3847c557fd40eb762bb1068fcbe52d1e5d1d8af6e7aeb0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:31.628928Z digest=sha256:c98e576d817343a155a7a6d24d3910a6967feb764a81c65c26579db524cb7dec

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=sha256:496b194cc26dfdae37c4785ed9f03a885fc748dfa07dae1a4aaafb1ba9f7c247

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:f7d845d76d7fac96b6c3f99445ccf23cb37accbf662f569711599b01b1abf6be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:32.247253Z digest=sha256:9be7103fbc9466c809c2ddbdac99b8bc99506d7e4f680b72f8f35e03777e0073

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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unresolved
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:d7f73feb1325ff60e5ea913865cd19a74480f9bbfaf2ce0e9cead3d004e4a323

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:ed43d4da5d6eb55c33b2abfd06c443a36b6798568af42c45689cd2a8474e37f7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:32.658696Z digest=sha256:d0e51b12e3ab228a08ff19bea8e6f4cd3a6a5d8aa5e3b9de8fb79c2b1387a5b7

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:d05f39658859ec9a0b8253dc28bd5d6ebbff06e0b24a11543d0e122016ae78dd

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:f47d10d4714fda619e4dc482bb4bfa3abf5d536182c2d6fe8b528b755d3fbe99

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:32.984739Z digest=sha256:9958d9ed04b00c11360d994538c64c42c9dde427a50ff92e64ed477a7ff13322

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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unresolved
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=sha256:9381e0c9875854a11983638c0d65f09272f45d994a454e6a3c89d72c89e8b560

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:33.133640Z digest=sha256:e8ea2b65aa277ffcb2357a056ad178d99a4a972a1af5c6703821a6f0ab9aeeb4

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=sha256:2151bd4876058107dac8b22d68ad7d3d848c64f8d739587ea31ddc27e2856ad6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:33.312753Z digest=sha256:e6def7effdd703937dc439d2c521784f779da8cb4365efda956a4996b485199b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:33.391283Z digest=sha256:3c2219ca6eda6af8e84953d0efdce15bc81fc9d40ac19431153d8ecb2f57cba4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:33.485387Z digest=sha256:bc8452f720a1ba3b61623769595042c7575ced5c3bec69cb431369bed7c4d6f5

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=sha256:19e99750c8224dbbcbc42412a7f4dbce656ea0189ec39c4b47548a47429ed5a4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:33.684204Z digest=sha256:f6e97b8abb7fe6095d4627da25de7f47798e05863b530af9599d73e9ed839813

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=sha256:8b162bc5a3874c863923394dd67800fe4db034c976d01ef295135085eed4851b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:33.853560Z digest=sha256:848ca40ec045c74f83851d05ee7876c6a73298cbec9942585b7394c144898faa

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

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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:e62b3405ce7b8f48d0c6fc19c3d03e0c032604a3abc264f0d25ac05988d1d53c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:42:34.038229Z digest=sha256:370e0ab8d7cb044f73d014838b86e533a5daeade5450c147b1ba6eb7e09ff2c7

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:ceeebbfa694650464ec55351a03338868fbfe29f9b39658b1c06084d6b760ee3

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=sha256:834685967fd347147a05eea25e178d266202cb62247781b75f5da09c5263bd69

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=sha256:08f3ea228fa2cce278dbef4643b9352e57d80485dea03e56ef67c26d3d149347

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:d10697b339d1a16685665ccbd1f5601b848878c0e6e87b2e5674151830c67244

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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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=sha256:746fae673891e8938fb8c5f77e620b56ca6933882c2b5ef2578f0424d1c255b4

Pith citing papers

No inbound Pith citation observations are available.