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Paper Citation Record · LEDGER

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2506.12320.

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

pith.paper-citation-record.v1
2506.12320 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:57:29.773071Z

measured 45 of 45 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:55:44.664325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T11:57:50.038881Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 453dba99-779b-4672-881e-03b58a4c2268 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Pytorch: An imperative style, high-performance deep learning library,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.754729Z

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=2026-08-07T00:57:27.297337Z digest=sha256:5cd37b625b6a99174083fb04f189201406ddc30375482dc577c9a8d82fa32ea5

Observation 528758d1-dde7-4c2f-b17e-483eb56560b6 · outbound

This paper cites TensorFlow: Large-scale machine learning on heterogeneous systems,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries TensorFlow: Large-scale machine learning on heterogeneous systems,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.740423Z

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=2026-08-07T00:57:27.415975Z digest=sha256:cfae19753c56698a73135e80962020ced81280d3903775682abe4122c039850c

Observation 3d0e62f4-9f2c-4fcb-9ef8-c37ca9dbf5a4 · outbound

This paper cites Transformers: State-of- the-art natural language processing,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Transformers: State-of- the-art natural language processing,

Reference 3

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unresolved
no resolver link, observed 2026-08-07T00:57:27.488140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:27.488140Z digest=sha256:94cec6a77c9dc51cc85761fb406591d8432f0608787f37b3e74b5c87a37c561d

Observation 528d814a-29e8-4958-9065-c2759c593807 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Efficient memory management for large language model serving with pagedattention,

Reference 4

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unresolved
no resolver link, observed 2026-08-07T00:57:27.559541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:27.559541Z digest=sha256:6254fe1451b9f958285caae2d66278a4a8a43f897331ad5025b2eca8fe870ab2

Observation 00835e5f-9801-441f-992b-22116f2bdda8 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters,

Reference 5

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unresolved
no resolver link, observed 2026-08-07T00:57:27.670249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:27.670249Z digest=sha256:fa6928aa8818c42328243707e20a327fb2acd742a0233884c5d66c1c21b6114d

Observation e40cafe4-77a9-4022-a82a-48315898b8e1 · outbound

This paper cites Architectural foundations for the large language model infrastructures,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Architectural foundations for the large language model infrastructures,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.707536Z

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=2026-08-07T00:57:27.796461Z digest=sha256:97cd4fdc5478a7f36f03d08b620bd8fea52caf764a81d802bbd7ec9dc7305758

Observation 5917def7-4065-456e-88a7-3ee1ba41bf59 · outbound

This paper cites Efficient Training of Large Language Models on Distributed Infrastructures: A Survey.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 7

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unresolved
no resolver link, observed 2026-08-07T00:57:27.917106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:27.917106Z digest=sha256:d1a8d1ef7cd1cd49d274eb148401f1deefc8abdc725c28e6df2c6ab6feb6f818

Observation 8dcd5d93-ec13-4730-9aa9-9579b152b524 · outbound

This paper cites Bytedance intern fired for planting malicious code in ai models,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Bytedance intern fired for planting malicious code in ai models,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.693364Z

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=2026-08-07T00:57:28.045570Z digest=sha256:dc3c498156004ae1fd8ed7996d823be18f82a446325724a34a33c6923bd06a77

Observation b1d66741-ea0b-4aad-beda-b1c42a7e7418 · outbound

This paper cites Critical bugs which affected everyone’s llm training,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Critical bugs which affected everyone’s llm training,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.678552Z

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=2026-08-07T00:57:28.156933Z digest=sha256:544634692080ca448cb2c6254fad9dafac38cb869fcf5d6e4825e4e0ebf62f4f

Observation c79dc12e-72d6-46ff-bedf-ac77fcdb1203 · outbound

This paper cites A comprehensive study on deep learning bug characteristics,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries A comprehensive study on deep learning bug characteristics,

Reference 10

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no resolver link, observed 2026-08-07T00:57:28.271241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:28.271241Z digest=sha256:6e228a8bd3d8486b4a2483fc4a9f6507ae1575b535340f6231d98dd90dd54d98

Observation df57bc2d-03ee-4ca3-952d-d04c7a1c78b8 · outbound

This paper cites Toward understanding deep learning framework bugs,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Toward understanding deep learning framework bugs,

Reference 11

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raw_fallback, observed 2026-08-07T00:57:30.665015Z

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=2026-08-07T00:57:28.431795Z digest=sha256:f565db3ea7823d3cc18de90906294799bfe94c0bd6d58bb7fa50400595ff6d11

Observation d543a561-601e-46d0-9a34-1b45d6bbb7da · outbound

This paper cites Understanding Performance Problems in Deep Learning Systems.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Understanding Performance Problems in Deep Learning Systems

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:57:30.111772Z

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=2026-08-07T00:57:28.550496Z digest=sha256:9cc265b5e5dec327536e49763098d97535b979371ab4004d21112dd9a96dc901

Observation ef13d63d-25c0-4f13-bdc1-ff2f5204a92e · outbound

This paper cites Towards understanding the faults of javascript-based deep learning systems,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Towards understanding the faults of javascript-based deep learning systems,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.652064Z

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=2026-08-07T00:57:28.667016Z digest=sha256:6bbd1bb308694bf2903087abaed968710a3fb843ea488f75fc08f8f46aa3b3cd

Observation 3cdbd95b-c5d3-416d-8498-8594cd2d7363 · outbound

This paper cites Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models

Reference 14

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unresolved
no resolver link, observed 2026-08-07T00:57:28.748900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:28.748900Z digest=sha256:4ca45e03559717801601c5a6fd8e3efd71db916492596a010d8b9c401a668d1c

Observation 639bf9e4-662f-441c-8273-ce71fe82157c · outbound

This paper cites Jitfuzz: Coverage-guided fuzzing for jvm just-in-time compilers,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Jitfuzz: Coverage-guided fuzzing for jvm just-in-time compilers,

Reference 15

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unresolved
no resolver link, observed 2026-08-07T00:57:28.855207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:28.855207Z digest=sha256:26112e9c009d316d697d06b1fe584e91c10d1ce9651cbf2329fd852f3bc7391e

Observation 4dec4a12-c1b5-4bad-bce0-984b1a75ed6d · outbound

This paper cites Nnsmith: Generating diverse and valid test cases for deep learning compilers,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Nnsmith: Generating diverse and valid test cases for deep learning compilers,

Reference 16

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unresolved
no resolver link, observed 2026-08-07T00:57:28.983979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:28.983979Z digest=sha256:805283a516710ecefb5b7692653f840297c5d7d0f2e940987ab805799cab45e4

Observation 485774b9-61fd-47e3-9d47-1e707fdece1e · outbound

This paper cites A comprehensive study on challenges in deploying deep learning based software,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries A comprehensive study on challenges in deploying deep learning based software,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.638339Z

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=2026-08-07T00:57:29.049763Z digest=sha256:d0781cc7896a41745a5a74970455781b985993218e1bf513ef8d49625cc5bf41

Observation b97d64ff-bb15-49ce-aaf6-8a42962d14db · outbound

This paper cites Our repository,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Our repository,

Reference 18

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raw_fallback, observed 2026-08-07T00:57:30.625323Z

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=2026-08-07T00:57:29.064541Z digest=sha256:39a98477e7984baf0602c64119831182d1c365ad1e88e67cc9e3c96acefc4cc1

Observation cee74161-4233-4016-b690-75cba9cc4932 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Lora: Low-rank adaptation of large language models

Reference 19

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unresolved
no resolver link, observed 2026-08-07T00:57:29.147789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:29.147789Z digest=sha256:4a29a625a956a96bbd543e4aecfb7e6a2f829d79cc39dcad975f9fdc243fef81

Observation 570be259-7111-4ef7-89ea-8e040183bc54 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Qlora: Efficient finetuning of quantized llms,

Reference 20

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unresolved
no resolver link, observed 2026-08-07T00:57:29.206536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:29.206536Z digest=sha256:ae58f716ea9d5856d396ce8f5a43773d884c2c0946706c6dadb1a3300f65f6e1

Observation b3c3babc-ef4f-435f-b5fa-ca8d9481e112 · outbound

This paper cites Bugs in pods: Understanding bugs in container runtime systems,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Bugs in pods: Understanding bugs in container runtime systems,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.594324Z

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=2026-08-07T00:57:29.284178Z digest=sha256:4806dc0d26c9c8fc2738355d62159a92457fba8d894cacd97a7ec6697be1c121

Observation f9c64b41-c551-4010-b961-e13154c369c9 · outbound

This paper cites Large-scale analysis of non-termination bugs in real-world oss projects,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Large-scale analysis of non-termination bugs in real-world oss projects,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.580570Z

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=2026-08-07T00:57:29.343928Z digest=sha256:2029306d81673cf433aed61a47df6bef3030a9ec2ca2d84aa32e23f2d0e5c12d

Observation 647b519f-eb55-416d-9aa8-63e6b0e0c527 · outbound

This paper cites A comprehensive study of deep learning compiler bugs,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries A comprehensive study of deep learning compiler bugs,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.566952Z

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=2026-08-07T00:57:29.426021Z digest=sha256:d1be9319ed3debac6d555bfec111252300873ac3e4afd9b69d602ce4632748e7

Observation 8e7e0755-7acd-45d4-9eec-5d350ac69f15 · outbound

This paper cites The measurement of observer agreement for categorical data,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries The measurement of observer agreement for categorical data,

Reference 24

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no resolver link, observed 2026-08-07T00:57:29.509007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:29.509007Z digest=sha256:e608c2908eaeaaefdd3e8d188b8e5c093bf22437e6f334abad4151311142b636

Observation 87b32193-86ac-4b38-b0ee-e3afc34bab57 · outbound

This paper cites Error happens when using siglipvisionmodel.forward with interpo- late pos encoding=true,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Error happens when using siglipvisionmodel.forward with interpo- late pos encoding=true,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.544047Z

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=2026-08-07T00:57:29.572962Z digest=sha256:3645ed548fee9294c35ccc69d5b2d1ed1e75e138527d98207a81fae34c011e9d

Observation da52f6ad-a19d-4d1e-b3b3-7c4978079b17 · outbound

This paper cites Mistral ’sentencepiecetokenizer’ object has no attribute ’id to byte piece’,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Mistral ’sentencepiecetokenizer’ object has no attribute ’id to byte piece’,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.531151Z

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=2026-08-07T00:57:29.614266Z digest=sha256:c31e2a52a7d2094e2d0ece632d73f18304932339295c43208dda553f4372119e

Observation 7f3546e7-6098-456f-8969-66e456facb3b · outbound

This paper cites [v1] fix when max model len is not divisible by block size,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries [v1] fix when max model len is not divisible by block size,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.518097Z

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=2026-08-07T00:57:29.690780Z digest=sha256:6acba68c1099d3673b9979d532f628d47d3b7f8a2c0cf70a91988fcc2ae65d59

Observation e60a591f-0d93-4697-b5b1-e1e69f30b586 · outbound

This paper cites Performance bug example in transformers,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Performance bug example in transformers,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.505452Z

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=2026-08-07T00:57:29.709492Z digest=sha256:f30a4398e925f34fd88a60a94d4a95bd9d5bc84e16d3cc9c9f5bd7beb149b53a

Observation 694129be-6ad8-4190-9ae3-f34f00b03348 · outbound

This paper cites Replace torch.tensor() with torch.from numpy() when process- ing numpy arrays,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Replace torch.tensor() with torch.from numpy() when process- ing numpy arrays,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.492092Z

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=2026-08-07T00:57:29.713995Z digest=sha256:d659348e49acdd9498ba4d265d10fedaa9d0a20d5d2081939e1d5a9b9210a7c1

Observation 31d40df1-c481-4080-ba7b-dd8cc118f049 · outbound

This paper cites Rename phi-3 rope scaling type,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Rename phi-3 rope scaling type,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.479141Z

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=2026-08-07T00:57:29.718238Z digest=sha256:a20e027377e16db42f2e7537b29953f8f2e81f8a9e7c3b98174bd344f400ca46

Observation f63389e3-288d-4391-b50a-6d49f099fb24 · outbound

This paper cites Llava: fix checkpoint doc,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Llava: fix checkpoint doc,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.466043Z

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=2026-08-07T00:57:29.722421Z digest=sha256:3f4c07e226010b849b9c8f66bb2648d55e2be930a296b9c3df059bb9712fea29

Observation b34b20b9-b4d8-488b-bed8-91696145d67e · outbound

This paper cites A survey of deep learning library testing methods,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries A survey of deep learning library testing methods,

Reference 32

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raw_fallback, observed 2026-08-07T00:57:30.452320Z

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=2026-08-07T00:57:29.726440Z digest=sha256:2836d128122bdc07ed3f4925c106f941d02e5ff06510392f9b31ff7532513820

Observation 32fddd53-d6b6-4903-990c-f887698eba94 · outbound

This paper cites Audee: Automated testing for deep learning frameworks,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Audee: Automated testing for deep learning frameworks,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.438058Z

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=2026-08-07T00:57:29.730777Z digest=sha256:88009899cdfd57b7d34171c25036e5ff4741243f999088ad7e77d27efdf7e0c6

Observation ada50965-31ce-421f-8c89-753153a16517 · outbound

This paper cites Writing unit tests,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Writing unit tests,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.424276Z

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=2026-08-07T00:57:29.734671Z digest=sha256:ca9b0e2082f6e672b68ec9c84d1df64f8d1d2ab01872f921247059de8a378594

Observation 1c90985d-187a-4f88-973a-0509ae1dd0cb · outbound

This paper cites Fixes for issue #33763 in idefics2 model,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Fixes for issue #33763 in idefics2 model,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.410183Z

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.

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Observation abb0ab0e-961f-4245-8bb3-78bbab86de8e · outbound

This paper cites Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T00:57:29.743159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:29.743159Z digest=sha256:f369ea60c4e8e2d9cfaf10ffafd57e3dae20f6150bd4e6adfd85fa9de6c32dfa

Observation d35e5e46-8c8c-4524-862d-8fc27ae2e711 · outbound

This paper cites Silent bugs in deep learning frameworks: an empirical study of keras and tensorflow,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Silent bugs in deep learning frameworks: an empirical study of keras and tensorflow,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.394500Z

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.

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Observation 8fc3175d-9b54-45c5-a053-9f2d790e7536 · outbound

This paper cites Understanding performance problems in deep learning systems,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Understanding performance problems in deep learning systems,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.379234Z

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.

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Observation 99da57d2-7a80-4e7a-88ea-983fea784dc9 · outbound

This paper cites To- wards neural architecture-aware exploration of compiler optimizations in a deep learning{graph}compiler,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries To- wards neural architecture-aware exploration of compiler optimizations in a deep learning{graph}compiler,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.354559Z

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=2026-08-07T00:57:29.755873Z digest=sha256:6d658e501f15589c73ef0530297b5220abbbef94f9988aba785e62869896cfe3

Observation 447b1e4d-a5ff-46b7-a9cd-d59920f29b5f · outbound

This paper cites Moving deep learning into web browser: How far can we go?.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Moving deep learning into web browser: How far can we go?

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.340920Z

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=2026-08-07T00:57:29.760302Z digest=sha256:9a9cb48fa029ece1b9e553edc728fb8d1aa54b2c75fb0aa25d736dcc47d75d3a

Observation d837a3dd-2652-4aba-9228-4d3ef75104ea · outbound

This paper cites Beyond accuracy: An empirical study on unit testing in open-source deep learning projects,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Beyond accuracy: An empirical study on unit testing in open-source deep learning projects,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T00:57:30.326384Z

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=2026-08-07T00:57:29.764411Z digest=sha256:5669e7e423539f098a489c24b8bd06a76775723e7696eb2dc01b2f21ea7a185b

Observation ee9b145d-892d-4afa-9a54-130fa220d607 · outbound

This paper cites The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries

Reference 42

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verified exact
local_arxiv, observed 2026-08-07T00:57:29.907927Z

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=2026-08-07T00:57:29.768673Z digest=sha256:2cbef86663d9483c9e074528ee15b4b304238eccdd050786fde8f4f737ed6290

Observation 139ad0d1-4b6f-432f-909a-6ff04e7226a8 · outbound

This paper cites Free lunch for testing: fuzzing deep-learning libraries from open source,.

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries Free lunch for testing: fuzzing deep-learning libraries from open source,

Reference 43

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unresolved
no resolver link, observed 2026-08-07T00:57:29.773071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:29.773071Z digest=sha256:a39ecad8dc2870b496b3a46199defcb76d1344c0b4d69a0645e361bfa407a635

Pith citing papers

Observation 419695e7-26af-4828-9a40-967b3b7bf6d3 · inbound

When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling cites this paper.

When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:57:50.040591Z

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=2026-05-16T11:54:53.273386Z digest=sha256:bd026049faab6cced625e3da747348be24ef03d823d92d1b29095723ddab6f23

Observation e3e50f99-040c-4681-a17a-014fd494247c · inbound

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy cites this paper.

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries

Reference 85

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unresolved
no resolver link, observed 2026-08-04T05:55:44.664325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:55:44.664325Z digest=sha256:bd712759079ef8a78d6e6edd6929c7992c259f30fad9ec73f969c2bcb9d3e908