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Paper Citation Record · LEDGER

TracLLM: A Generic Framework for Attributing Long Context LLMs

As of 23 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2506.04202.

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

pith.paper-citation-record.v1
2506.04202 v3

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:51:52.623774Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

75 of 75 outbound references displayed

  • verified exact1
  • verified fuzzy54
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.360510Z digest=sha256:17609a8832b3a61a5d401911388fd5c6786b957c33915a08261898840fdf9748

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:53.588608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.364553Z digest=sha256:8454f99bb2b675b5146437560094a115b9cc45774e04c6f228212c80c8bc173c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.368094Z digest=sha256:2df5516130d21092850cbc5fa7d0f0d4519b6b687491a406d7bcc4729d286799

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.371847Z digest=sha256:9f319bc70fbd55068485b0b883554f7268d4f4d453851eb5f294165636cd65d7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:53.555654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.375622Z digest=sha256:39907b79dab5fc2cd650eb2e1e581e3ae17a5d913aa9d95701639ad3de999046

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.379644Z digest=sha256:95f5c1fdb47664d60c9c8a9c63c7f8dcddbd42dc1f36daf42ae320361d00156c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.383277Z digest=sha256:60030eb99a3992c76dc8b9eae3be34e82190bb7d0c06af719bef0bd4e678f782

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.387370Z digest=sha256:9f096c038e8568561f3a2a2eed5546efd0242ce0deaf646ad934f96fc972484e

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

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.390828Z digest=sha256:18ec22b6840acc02bceb7a1b5120b3ba10930299115c77cf257ec70fce155177

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

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.395366Z digest=sha256:ae41dee52e661c65a287385d34a5027ca323c5adffd13720d421e17205ba8678

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.399548Z digest=sha256:7b8f75e9a24da4990c6c243fa2538cf33a89f363f28071205dacf515a23f9101

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

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:52.404656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.404656Z digest=sha256:d5d10c52b7c391b47c1f13678fc9451e8fcd1e339c648d966b6cb37e166979dc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.408383Z digest=sha256:5e7fa68167327971919498fc34586b41ab128409647c2e9fa5ee47964997f595

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.411625Z digest=sha256:05f2f776d4a2d02e8c768193d9e2b6b18e37408b07fdc0aa0d1fa679c88ac1f8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:52.414794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.414794Z digest=sha256:0f01e4c046a19a89cb151e23907db221718b73a4e41db6b4c85cae3a5f00da7b

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

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.418374Z digest=sha256:74efeac51e4b69f89f79a6c6c66f142902c27b44bb8be76553e1fd54c9e7c330

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.421868Z digest=sha256:8e180a76392a82e8b5aa69eb7f19f620219f79d0801c3435a4cc051b6a9ecf56

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.425264Z digest=sha256:000bc9076ad9fc4ea98254cb4b26e7e842cc8d021cb03023b44525eec87ad533

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

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.428341Z digest=sha256:e5c99bb99aa8407aae55d16a0e231623825296b7f8b888f5b427123dd84d517d

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

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.432102Z digest=sha256:4a8bed7f9db85a3a7cc46580b36245445457a3d4f8b96a0b5cd03b3ce9b5d0f3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.435627Z digest=sha256:c55bcdb97736872c012759ff9d6f92d31699feb1faf08179a8bf5eb3d80c193d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.438964Z digest=sha256:60a4708f4a9b056c56bed873b6782c2822a704e95a2993101448dca72ab9e9d7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.442389Z digest=sha256:b44e6c38f1a449cf5bbaa5939e3f66ad41db47d07490cecd0f0c9c55da4b3485

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.445507Z digest=sha256:6ee30ff28cef0199f588abf78d8c3babe514dd7531901cc0fd919e505b659282

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.448997Z digest=sha256:3cff445fa311c7bbe0644c0f051d10ecc5c1e205ff954f7e708160e233834961

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.452623Z digest=sha256:9f33118601acc4a73677a26bbb2f5bbb38f10d4ffc217bc222c77f0f262ec6fc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:52.455858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.455858Z digest=sha256:37a9b327e3423a08b9c7d29c9236df78464bb123df128a5b66fc75cf2a2b22a9

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.

source=pdf_text observed=2026-08-07T10:51:52.459254Z digest=sha256:043a10f3cecb017332c01732a51e9a41c68778e8d7637babf78cf6c3d45186aa

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.462583Z digest=sha256:d7af19fd459aee7dcd9e0ac60640135063ab0616b5b1ffcc4b91dc31c26ad202

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.465866Z digest=sha256:43346bdba1b3f1fb398ff22477c1fb551e971475696907d081ec53a0cd17a3b1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.469215Z digest=sha256:5f460763811906a68543ec9fb5cf606f1f5e30dc4d122b25bc352f2b3d705759

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.472401Z digest=sha256:0296c1c1c23705d1cd2075396c5c0557e712d81b19ef1b6a8f165594e2a0d5bc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.475633Z digest=sha256:14f87935b71576490564009222cc9e86364d38da4d053d5b8ca9ecff99bb9450

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.479183Z digest=sha256:917f23855f22d9b3d18bcf024c70102c553127b90631e53f8541abd95264cde1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.482846Z digest=sha256:b42dc4d1885ba66e83b4e80e41eff7a19518416bed593f9308a8cd3ce2e6a18c

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.486562Z digest=sha256:671c91d7b828ab97e6c7bceb189134046d3063c26926f593f737767ff948a295

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.490098Z digest=sha256:935b9e8a1c1db4a87a4f7d335ae442bd0160975fc5eabf1a67ee36008a2b908b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.493811Z digest=sha256:0172d52e55123b72c85691f69c1178db85383a995e2c3aad7c8cfbf65b5eeaf9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.497393Z digest=sha256:c5b78fc024ee7da5ce81c6d8490a5a7b9350721b9bdf8840d7f0f715127420cb

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.500496Z digest=sha256:9ca8e65a00498ab023916aef10c5a8b4172d0fa00802045f447abb3a7acaa691

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.503948Z digest=sha256:a619f2a4f0a6f0864bcb3f1e54cbadb78855aa9d691bdda7204f8fc2b40b4cbb

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.

source=pdf_text observed=2026-08-07T10:51:52.507493Z digest=sha256:3d8a7977c779e402d65afe2179fffa18099c096c4c210a7bc2570baaec2bc6d7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.511370Z digest=sha256:2bd936d66c191a3b8bf082bedfa726602556e836f9ab76c303d478200092db90

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.515622Z digest=sha256:640488d0ddac990abc1cbd1bb543f558ea00e661ad26ff06c744a6e4ab3f2947

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.519978Z digest=sha256:70ceafd1720d43cbfc64b0972a0b9d7cda1d31395df4ab9d6ad5bf533458e60f

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.

source=pdf_text observed=2026-08-07T10:51:52.523660Z digest=sha256:7c1fb2e6b9d1e5a4fdf839f46b2439b685d234c55ce04211a812fcd0780674cd

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.527208Z digest=sha256:eb36b8fb594c16b4146414a9b33397c6f0752bdc3223bdebfabfa0675041e1b9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.530789Z digest=sha256:13fe6d034ad3406d88475e4fdcc487ef2014b12bd372f9e85423e0106f1d4cd3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.534516Z digest=sha256:f4913cb70c4d4cde20cfb04814ae51509ce769d62be99467f4883235524e5250

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.537852Z digest=sha256:834cbab273333387dd51aa85bab15bae7d82ef277e2a1bab6926a0c1bcfaed7d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.541355Z digest=sha256:0011f96f37baeb3e7657dd4cd9e8a4a880bc5dea1e1f49a911d482f02bbf267b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.544936Z digest=sha256:9cbbd54fad4486c8f3cb481433b0dc4ecb14db4aa5fce5bb4bdefd6e6e16a552

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

Resolution
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no resolver link, observed 2026-08-07T10:51:52.548205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.548205Z digest=sha256:eac4e35b4f68043d6e9b210778dfa5dd1d3d10abc1f02ce54f5e256f29ba1a30

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.551828Z digest=sha256:e9b4aac74f95f0344cecf1a94dd50e3a93254f864c47663f951dc818dac7bbae

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

Resolution
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no resolver link, observed 2026-08-07T10:51:52.555244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.555244Z digest=sha256:0b7c613c603a03d02f7d0fe79116057298d26306b170fd83b0f0e27b0a5b8d56

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.558876Z digest=sha256:c0b1ee3635a33e566259800af8439211e55554662ba9f4044a90b80d853f54bd

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.

source=pdf_text observed=2026-08-07T10:51:52.562347Z digest=sha256:03af4bd1d71cab446a2251d535c4ec70a886f18bd4aa2c4ca0bd7eaf9075aa4c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.565434Z digest=sha256:817baff497137cc2702ac86969b7a731e311906b83970c8c1f7090b3301f7e16

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.568659Z digest=sha256:149821c8de3b42d1b242dcacab95c2574e259f5c7082631bb0462260130ee008

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.572158Z digest=sha256:637f0cf01d02fe8b2d420b56abcfad3f53073a65a8998714ef1748bc6408d4e8

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.575417Z digest=sha256:635113839a2bf091774e6fc63460e6272879ba95e0e93db878ad281c9a4afac0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.578767Z digest=sha256:4fa6ed0db4cb7c7a813475b66aca7c228418aa6df23b2304f3f1d8cab531d54b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.582112Z digest=sha256:99b477b61e3ab2c748ed5b86b7a818761c654bce52bbeb52fe35e0ff5fda5483

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.585418Z digest=sha256:074f649ef41ab84250b740eb1e8856bfbf2ef933366926e223cab6bb547eb156

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.588700Z digest=sha256:37c84a2e16ca00381a721653296e10b50f7684b790af173e602fecbbe2aded97

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.591864Z digest=sha256:6d498a7be774ad8a04ced490da145139522c6f1433affcd583008a9a33d2c59f

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.595108Z digest=sha256:773a50a273f60b0cb2c7d1e4de550f334696db8aba031c0e37a740bc5b4cf9e4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.598937Z digest=sha256:74f9e90b2a8fc1ebd64c8fb2271eece479a2ae501c1f3081f287ee72e7e05856

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.602391Z digest=sha256:51b51524135c226e0cca5eebdbb2e0c79925c38b17a56cda0b29ce4b5082573e

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.

source=pdf_text observed=2026-08-07T10:51:52.606143Z digest=sha256:b65793423c2d8106f0f2d50d2f50a156ed040e5cfe86266c2d09dd9171e6c3f6

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.

source=pdf_text observed=2026-08-07T10:51:52.609802Z digest=sha256:50089ed56229c6185723cdf5135d87f412d6cfad433f97925278de3fc909475b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.613302Z digest=sha256:3a662548891785cdffa2465f774f8bc44fa0598fbbfabdab45b368d5edf54ade

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.616843Z digest=sha256:cddd2628c7491982aac1a8ce9a8ca4b3bf048fd1528a28ae980943f25d1feb61

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.620294Z digest=sha256:3748657ace954577e95147dc28a0d6de0046510ed3f475a8538fe337149a5686

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:51:52.623774Z digest=sha256:5a28c7a31c520783a4cc7300033072d27a1dfad8e1580fd046ec7fe393d693a2

Pith citing papers

No inbound Pith citation observations are available.