TracLLM: A Generic Framework for Attributing Long Context LLMs | Paper Citation Record

Observation 1f0d6101-b430-4a38-b16c-e3ae91fe4258 · outbound

This paper cites https: //github.com/Significant-Gravitas/AutoGPT.

TracLLM: A Generic Framework for Attributing Long Context LLMs https: //github.com/Significant-Gravitas/AutoGPT

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.599007Z

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Observation e02ef12e-6886-4e84-bc43-df32e9c97316 · outbound

This paper cites https://copilot.microsoft.com/.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://copilot.microsoft.com/

Reference 2

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Observation e61ccf40-c6e1-484e-9afc-9e2615284a09 · outbound

This paper cites https://blog.google/products/search/ generative-ai-google-search-may-2024/.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://blog.google/products/search/ generative-ai-google-search-may-2024/

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.576913Z

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Observation 404723ba-fd68-4304-9f7d-578449ad3d5f · outbound

This paper cites https://www.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://www

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.566399Z

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Observation 0a5c46f9-0efe-4e8c-ac4d-b932ecf4d2df · outbound

This paper cites https://www.reddit.com/r/Pizza/comments/ 1a19s0/comment/c8t7bbp/?utm_source=share& utm_medium=web3x&utm_name=web3xcss&utm_ term=1&utm_content=share_button.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://www.reddit.com/r/Pizza/comments/ 1a19s0/comment/c8t7bbp/?utm_source=share& utm_medium=web3x&utm_name=web3xcss&utm_ term=1&utm_content=share_button

Reference 5

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Observation 16a3391a-b006-43b6-a258-c57695dfa9c4 · outbound

This paper cites https://github.com/gkamradt/LLMTest_ NeedleInAHaystack.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://github.com/gkamradt/LLMTest_ NeedleInAHaystack

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.545290Z

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Observation 07d33dac-082a-468c-bd0a-680a520feefa · outbound

This paper cites https://openai.com/index/ new-and-improved-embedding-model/.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://openai.com/index/ new-and-improved-embedding-model/

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.535106Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f463df1-aa8d-47d0-9e2e-61bbc5844b02 · outbound

This paper cites https://www.perplexity.ai/.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://www.perplexity.ai/

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.524171Z

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Observation b6a19be9-1b99-405e-b8ca-cd0e2ae5de79 · outbound

This paper cites https://www.

TracLLM: A Generic Framework for Attributing Long Context LLMs https://www

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.513911Z

Source-reported events for the cited work

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Observation bcd990a5-f474-4a97-b23d-95f473b8b5eb · outbound

This paper cites Gpt-4 technical report.

TracLLM: A Generic Framework for Attributing Long Context LLMs Gpt-4 technical report

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.502940Z

Source-reported events for the cited work

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Observation 33d631d9-4977-4a1e-913b-daa19c998163 · outbound

This paper cites Reliable, adaptable, and attributable language mod- els with retrieval.

TracLLM: A Generic Framework for Attributing Long Context LLMs Reliable, adaptable, and attributable language mod- els with retrieval

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.492369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d050a3c-9f83-4b49-8754-5e64338c86aa · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

TracLLM: A Generic Framework for Attributing Long Context LLMs LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 12

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Source-reported events for the cited work

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Observation cab835b2-9b9a-4c63-ba10-1f6a5bc11755 · outbound

This paper cites Evalu- ating the susceptibility of pre-trained language models via handcrafted adversarial examples.

TracLLM: A Generic Framework for Attributing Long Context LLMs Evalu- ating the susceptibility of pre-trained language models via handcrafted adversarial examples

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.482456Z

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Observation 151d0c65-e7ed-4beb-b416-55127477f489 · outbound

This paper cites Polyno- mial calculation of the shapley value based on sampling.

TracLLM: A Generic Framework for Attributing Long Context LLMs Polyno- mial calculation of the shapley value based on sampling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.471918Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ade5129-9120-4b82-9f4d-9010da0b077d · outbound

This paper cites Xprompt: Explaining large language model’s generation via joint prompt attribution.

TracLLM: A Generic Framework for Attributing Long Context LLMs Xprompt: Explaining large language model’s generation via joint prompt attribution

Reference 15

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Observation eaa23d1c-e216-4ab6-84a8-60816085b65b · outbound

This paper cites Phan- tom: General trigger attacks on retrieval augmented lan- guage generation.

TracLLM: A Generic Framework for Attributing Long Context LLMs Phan- tom: General trigger attacks on retrieval augmented lan- guage generation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.461606Z

Source-reported events for the cited work

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Observation f9c03197-5577-4b16-be01-29bf32e52ab0 · outbound

This paper cites Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases.

TracLLM: A Generic Framework for Attributing Long Context LLMs Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.421868Z

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Observation 2cd271bf-0913-4836-b817-9e00dcb0fb81 · outbound

This paper cites Trojanrag: Retrieval-augmented generation can be back- door driver in large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Trojanrag: Retrieval-augmented generation can be back- door driver in large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.443763Z

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Observation 423c8b95-50b6-4eb4-a272-32a934822520 · outbound

This paper cites BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense.

TracLLM: A Generic Framework for Attributing Long Context LLMs BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:51:52.811277Z

Source-reported events for the cited work

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Observation 05aa97cc-b157-42ea-8161-c9818ba81a99 · outbound

This paper cites Contextcite: At- tributing model generation to context.

TracLLM: A Generic Framework for Attributing Long Context LLMs Contextcite: At- tributing model generation to context

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.433234Z

Source-reported events for the cited work

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Observation a527c909-71bb-4d3f-bd94-59e842c7f82b · outbound

This paper cites Characteriza- tions of an empirical influence function for detecting in- fluential cases in regression.

TracLLM: A Generic Framework for Attributing Long Context LLMs Characteriza- tions of an empirical influence function for detecting in- fluential cases in regression

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.421518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f28b0693-0026-41bd-9a66-60c8bec7c002 · outbound

This paper cites Explaining by removing: A unified framework for model explana- tion.

TracLLM: A Generic Framework for Attributing Long Context LLMs Explaining by removing: A unified framework for model explana- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.409932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a60247a-224a-474b-8bf0-1d4621149cb5 · outbound

This paper cites Synthetic disinformation attacks on automated fact verification systems.

TracLLM: A Generic Framework for Attributing Long Context LLMs Synthetic disinformation attacks on automated fact verification systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.398451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b16fe6f-4947-4d2b-9872-397122af2906 · outbound

This paper cites The llama 3 herd of models.

TracLLM: A Generic Framework for Attributing Long Context LLMs The llama 3 herd of models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.386757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 421ac852-249f-4f28-b154-da1edc0fc55e · outbound

This paper cites Textgenshap: Scalable post-hoc explanations in text generation with long documents.

TracLLM: A Generic Framework for Attributing Long Context LLMs Textgenshap: Scalable post-hoc explanations in text generation with long documents

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.375966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f760f916-b11f-47f1-b4ca-0b22247f414c · outbound

This paper cites Prompt Injection Attacks: A New Frontier in Cybersecurity.

TracLLM: A Generic Framework for Attributing Long Context LLMs Prompt Injection Attacks: A New Frontier in Cybersecurity

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.364991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 255a3d21-075f-4798-a814-ddbf871b6412 · outbound

This paper cites Enabling large language models to generate text with citations.

TracLLM: A Generic Framework for Attributing Long Context LLMs Enabling large language models to generate text with citations

Reference 27

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Source-reported events for the cited work

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Observation 801087c7-4605-45d2-ad6d-76f9581d89ff · outbound

This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injec- tion.

TracLLM: A Generic Framework for Attributing Long Context LLMs Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injec- tion

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.459254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b878886-4c56-4a97-ad0d-bcc552f97593 · outbound

This paper cites Long-context llms meet rag: Overcoming chal- lenges for long inputs in rag.

TracLLM: A Generic Framework for Attributing Long Context LLMs Long-context llms meet rag: Overcoming chal- lenges for long inputs in rag

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.341441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 186531ce-6670-4a73-a4b6-cca8ddffe905 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

TracLLM: A Generic Framework for Attributing Long Context LLMs Dense passage retrieval for open-domain question answering

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.465866Z

Source-reported events for the cited work

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Observation a1dc834f-dc44-48eb-bfc0-ae607c9f3dd3 · outbound

This paper cites The narrativeqa reading comprehension challenge.

TracLLM: A Generic Framework for Attributing Long Context LLMs The narrativeqa reading comprehension challenge

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.324127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8eb811d4-f1f1-4b76-9515-b188cccf3b84 · outbound

This paper cites Natural questions: a benchmark for question answering research.

TracLLM: A Generic Framework for Attributing Long Context LLMs Natural questions: a benchmark for question answering research

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.312818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4814f8e1-84ed-4548-898c-e8258e9f9153 · outbound

This paper cites Long context rag performance of large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Long context rag performance of large language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.301853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6adceebe-2eac-44ac-964c-fad164821e72 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

TracLLM: A Generic Framework for Attributing Long Context LLMs Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.290736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99741f94-198b-40ae-b376-72d8befa689d · outbound

This paper cites Autodan: Generating stealthy jailbreak prompts on aligned large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Autodan: Generating stealthy jailbreak prompts on aligned large language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.482846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb1f7d3-cc9c-42b9-9bb3-70840509bcb4 · outbound

This paper cites Formalizing and benchmark- ing prompt injection attacks and defenses.

TracLLM: A Generic Framework for Attributing Long Context LLMs Formalizing and benchmark- ing prompt injection attacks and defenses

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.271892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0f3d186-311f-4ec2-af72-60f1442b877d · outbound

This paper cites A unified approach to interpreting model predictions.

TracLLM: A Generic Framework for Attributing Long Context LLMs A unified approach to interpreting model predictions

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.260784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f468a9a-c1b6-4192-97f1-4a3d15662925 · outbound

This paper cites Using captum to explain generative language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Using captum to explain generative language models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.493811Z

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Unavailable: canonical work link unavailable.

Observation 64fe8ee5-d4d1-428f-9da5-961f89efcc4c · outbound

This paper cites Factscore: Fine- grained atomic evaluation of factual precision in long form text generation.

TracLLM: A Generic Framework for Attributing Long Context LLMs Factscore: Fine- grained atomic evaluation of factual precision in long form text generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.242534Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b83919cf-1040-4969-b71d-8ab1ce36b8e5 · outbound

This paper cites Game theory.

TracLLM: A Generic Framework for Attributing Long Context LLMs Game theory

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.230548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65994c3a-44a9-4f4b-8fde-ef1fe6078ada · outbound

This paper cites Yohei’s blog post.

TracLLM: A Generic Framework for Attributing Long Context LLMs Yohei’s blog post

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.219414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3604494f-4e25-488a-8cea-5fecd5324783 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

TracLLM: A Generic Framework for Attributing Long Context LLMs WebGPT: Browser-assisted question-answering with human feedback

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.507493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1fa8d9c-7a24-4ef3-9336-5c5de0a7725b · outbound

This paper cites Ms marco: A human generated machine reading compre- hension dataset.

TracLLM: A Generic Framework for Attributing Long Context LLMs Ms marco: A human generated machine reading compre- hension dataset

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.208292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbd38e48-bad6-4f9f-ab92-ebaa3c7e6a67 · outbound

This paper cites On the risk of misinformation pollution with large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs On the risk of misinformation pollution with large language models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.196117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f94b2069-2c6c-4db2-87d2-a1655f7ddff4 · outbound

This paper cites Neural exec: Learning (and learning from) execu- tion triggers for prompt injection attacks.

TracLLM: A Generic Framework for Attributing Long Context LLMs Neural exec: Learning (and learning from) execu- tion triggers for prompt injection attacks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.184740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ce385c9-1ee4-476e-b0f2-ac8ee752f9a8 · outbound

This paper cites Ignore previous prompt: Attack techniques for language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Ignore previous prompt: Attack techniques for language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.523660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4992598-9d4f-45c1-80d9-1dacdfc7d875 · outbound

This paper cites RISE: Randomized Input Sampling for Explanation of Black-box Models.

TracLLM: A Generic Framework for Attributing Long Context LLMs RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.527208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40b91b29-ada3-432d-bf5d-3b6a583df453 · outbound

This paper cites Estimating training data influence by tracing gradient descent.

TracLLM: A Generic Framework for Attributing Long Context LLMs Estimating training data influence by tracing gradient descent

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.166399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b11ea77-8ba8-47d5-97a9-b4f4be8b2c37 · outbound

This paper cites why should i trust you?.

TracLLM: A Generic Framework for Attributing Long Context LLMs why should i trust you?

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.534516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0451cce-0ada-4bf5-8d5e-d09bd193f962 · outbound

This paper cites Machine against the rag: Jamming retrieval-augmented generation with blocker documents.

TracLLM: A Generic Framework for Attributing Long Context LLMs Machine against the rag: Jamming retrieval-augmented generation with blocker documents

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.146636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f5f15e81-3003-4e61-8655-6c7611cf00ac · outbound

This paper cites Poison forensics: Traceback of data poi- soning attacks in neural networks.

TracLLM: A Generic Framework for Attributing Long Context LLMs Poison forensics: Traceback of data poi- soning attacks in neural networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.135850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a561eab5-52d1-4122-90d2-351d91ad6eba · outbound

This paper cites Learning important features through propagating activation differences.

TracLLM: A Generic Framework for Attributing Long Context LLMs Learning important features through propagating activation differences

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.125296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a66e395-ed7c-43c0-af14-781f655e0e45 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

TracLLM: A Generic Framework for Attributing Long Context LLMs Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 53

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Source-reported events for the cited work

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Observation 49e59b40-cb42-41ac-8380-4d9f38303db6 · outbound

This paper cites Ax- iomatic attribution for deep networks.

TracLLM: A Generic Framework for Attributing Long Context LLMs Ax- iomatic attribution for deep networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.113500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a202a448-9790-49e5-8404-584f935472e5 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe43988-056c-4b19-9773-1ca19fbb2a1c · outbound

This paper cites Interactive prompt debug- ging with sequence salience.

TracLLM: A Generic Framework for Attributing Long Context LLMs Interactive prompt debug- ging with sequence salience

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.101883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3b11e2a-84ec-47ab-a68f-468364c912db · outbound

This paper cites Regression shrinkage and selection via the lasso.

TracLLM: A Generic Framework for Attributing Long Context LLMs Regression shrinkage and selection via the lasso

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.562347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76915c21-dc85-42f1-ac4d-0200024d1983 · outbound

This paper cites Musique: Multihop questions via single-hop question composition.

TracLLM: A Generic Framework for Attributing Long Context LLMs Musique: Multihop questions via single-hop question composition

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.081965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3c436dd0-2b30-4736-9f1c-4df451bde214 · outbound

This paper cites Gradient based feature attribution in explainable ai: A technical review.

TracLLM: A Generic Framework for Attributing Long Context LLMs Gradient based feature attribution in explainable ai: A technical review

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.068617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 677c345e-e4af-4147-b9ee-d07b19ebdfd8 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Chain-of-thought prompting elicits reasoning in large language models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.572158Z

Source-reported events for the cited work

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Observation 2733e5f2-bfb0-44bd-9445-5e24b871be0f · outbound

This paper cites Long-form factuality in large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Long-form factuality in large language models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.575417Z

Source-reported events for the cited work

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Observation 663d95ed-d752-4645-a8ad-d2e7b4ac789d · outbound

This paper cites Delimiters won’t save you from prompt injection.

TracLLM: A Generic Framework for Attributing Long Context LLMs Delimiters won’t save you from prompt injection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.044431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d08e9fc0-a7eb-4ff6-b4c8-f51aa5e66277 · outbound

This paper cites Prompt injection attacks against gpt-3.

TracLLM: A Generic Framework for Attributing Long Context LLMs Prompt injection attacks against gpt-3

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.033209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9903e42c-ea7e-411b-91a4-e5c97c79a5b2 · outbound

This paper cites Prompt injection attacks against GPT-3.

TracLLM: A Generic Framework for Attributing Long Context LLMs Prompt injection attacks against GPT-3

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.021875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9d3b94d-a021-4243-af40-cef99c266d77 · outbound

This paper cites Certifiably robust rag against retrieval corruption.

TracLLM: A Generic Framework for Attributing Long Context LLMs Certifiably robust rag against retrieval corruption

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.588700Z

Source-reported events for the cited work

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Observation 9042bf86-eb61-4349-b32f-7815876a103b · outbound

This paper cites Bad- chain: Backdoor chain-of-thought prompting for large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Bad- chain: Backdoor chain-of-thought prompting for large language models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:53.003795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 57cced7a-068e-4011-984a-b67a664d407d · outbound

This paper cites Badrag: Identifying vulnerabili- ties in retrieval augmented generation of large language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Badrag: Identifying vulnerabili- ties in retrieval augmented generation of large language models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:52.990746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13d42334-f809-4208-916a-d3fb516bd50e · outbound

This paper cites Hotpotqa: A dataset for diverse, ex- plainable multi-hop question answering.

TracLLM: A Generic Framework for Attributing Long Context LLMs Hotpotqa: A dataset for diverse, ex- plainable multi-hop question answering

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:52.978726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26b0b257-c151-4d9d-bf87-920aa9dcefb7 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs React: Synergizing reasoning and acting in language models

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:52.965698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3bb69eab-8518-4cd1-9ce1-58cc2b5d31d3 · outbound

This paper cites Explainability for large language models: A survey.

TracLLM: A Generic Framework for Attributing Long Context LLMs Explainability for large language models: A survey

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.606143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 408df869-7e09-47fa-bae7-87769689643e · outbound

This paper cites Qmsum: A new benchmark for query-based multi-domain meeting summarization.

TracLLM: A Generic Framework for Attributing Long Context LLMs Qmsum: A new benchmark for query-based multi-domain meeting summarization

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:52.609802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4028b305-9240-445c-924b-89271fd8db0b · outbound

This paper cites Poisoning retrieval corpora by injecting adversarial passages.

TracLLM: A Generic Framework for Attributing Long Context LLMs Poisoning retrieval corpora by injecting adversarial passages

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:52.937448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6217d6ce-cc6a-4f5a-a5ce-7490ff4f8186 · outbound

This paper cites Universal and trans- ferable adversarial attacks on aligned language models.

TracLLM: A Generic Framework for Attributing Long Context LLMs Universal and trans- ferable adversarial attacks on aligned language models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:52.925795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7561ecbe-e509-4751-9ec4-cb8705861ef5 · outbound

This paper cites Poisonedrag: Knowledge corruption attacks to retrieval-augmented generation of large language mod- els.

TracLLM: A Generic Framework for Attributing Long Context LLMs Poisonedrag: Knowledge corruption attacks to retrieval-augmented generation of large language mod- els

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:52.914016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49d69e8e-c5c2-4ec8-973e-f863823c41e4 · outbound

This paper cites >" means “more important than.

TracLLM: A Generic Framework for Attributing Long Context LLMs >" means “more important than

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:51:52.902550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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