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Paper Citation Record · LEDGER

TracLLM: A Generic Framework for Attributing Long Context LLMs

As of 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.360510Z digest=sha256:b1702e2d01a2804082e884acf34df29f8d835a1cf50822b7bdb2e9d5b6a2de6d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.364553Z digest=sha256:4d40bfca6c5c36a458ab718f7d0955a572229264d2f8bd77cbf4b55507a6bfef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.368094Z digest=sha256:bd07cba2368ad295abdac986de4587052b9f1d2e984454a56dcf40149b7985be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.371847Z digest=sha256:35e2478e6af22d7a400b412f1080054775f97e6c830240f474a6bb55d85d173a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.375622Z digest=sha256:8692d96aae1611c6872c167123dc9c5afab89580565d95ec3e52b2edf5e04978

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.379644Z digest=sha256:8478ed085a04927c8b1e2b065304cf5b586dbdf030a6aa5da71c5ddb3bef3c94

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.383277Z digest=sha256:7023ed606608cce920d6aac9aa9f1521ad3c833fa2816244cbe2e494ae19cec8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.387370Z digest=sha256:5a2361eac20fe8b3ff7ba60a9a32de13d8c7eedfe4647bb749f67a903fe58e14

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.390828Z digest=sha256:b6e2da9ff713bd90b3da3026d24ddb11cc897f30779feddb18b2732c479a9329

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.395366Z digest=sha256:6377234b18b46ca7acefa5f24b09c43282f59087f4e249d4042017b1c2c3100b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.399548Z digest=sha256:28af55fa4ddb9b871162a9a4d1f3f10ae9433b8fc6d722e326453945fd2b9cb9

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=sha256:64d0266cf3c69c77abc53a6faca0069c9dbe17d23786e90a39f67249adee411b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.408383Z digest=sha256:0b2efc58548f06b122e58a9a1a6fbb3879268b44af7ae433aed5e0f5e98fb988

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.411625Z digest=sha256:0ee59b9a9474bd2ea55f7ff4f505006a37d70de556cd814a553995ea44a02e11

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=sha256:23dfd0c3774408e2d9cb399325a97f423ab7be650c43099912ed4f0e2ec9d407

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.418374Z digest=sha256:1d8779ef5622b2fca5402584c3cffeb470f03a767763291d24488eec9027c981

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=sha256:3b7ec20dcbbdc3a9b0f9e8c6e003ccd89d2dcc83a454c9c37d55a94cb1d6c964

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.425264Z digest=sha256:2c7bcedc62927aec643e5b8ca81f55a4cf66826b171c2fe9f518c2ddc0e6ede8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.428341Z digest=sha256:59d002dd5e4e79958d0c2f1d4164828b64229dc3566c8b95c93f8e03d06cd04d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.432102Z digest=sha256:c78eb94a8bf6f3ad1e250173a8ed4f7b331209c057cab1d3f573b9a2ffd40d0f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.435627Z digest=sha256:eb453205df6eea4f3185433d69da636ac14499d6e5fe05665c80191413ef5f58

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.438964Z digest=sha256:9ac4f9211d351d73976be6e5b0896482e5b2a556fa8111687cd31ddf6b197666

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.442389Z digest=sha256:99eb8a65b7e9a214f27d4e10d97a817590318947c508f428af81d0730184269c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.445507Z digest=sha256:c89ec78ca43412a8281a7c8e1a81a1fdc3cad515dc3fade972764835a12a3948

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.448997Z digest=sha256:68b61ffc7b6194139621581372b3bf9d7f9e9a3f0ff78816f0c6325d24504aae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.452623Z digest=sha256:00ebc56706380e68686e0d14729e23e3bb3d238b7107e22eddbd270571db1af2

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:fdc63c5ff6a40d4483c0cf6b553038716faaec8328ab0f3b3eb9eb85156c2c24

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:f510d76cd5e7c57fcf272251f945cf826c6338ffe9227027fdbc790bbf344706

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.462583Z digest=sha256:5b018cee23085d1d7684046b1e3e0d40b7086c38194df195c64f312a8fc1ccd5

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=sha256:20b4b94e596602524cab1b34db0958ee604a484f8cf2132ff9908f000a76bc0d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.469215Z digest=sha256:c904a863c383900112737b78173443a4ff0259893d274eeec51a93a358c4c7a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.472401Z digest=sha256:13d1c26f1172898841c10fa94068f8c2158140640483bd8283d1e31b0f41e9e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.475633Z digest=sha256:ef134cb8700bb19b922afa0bfe408b2be0a62206d7ec0c3245bbef6d758db394

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.479183Z digest=sha256:ff9d1968c0b4568fed7fa527d4a023c5d6d24d8a9441132150d4ee82c1765a4e

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=sha256:65e2aac16da3eb7b27b7eb41911d1ae52c2085193b75af1268c6851df41ad88e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.486562Z digest=sha256:0906e8ecd4d6b20a9e81677c997e5087d8df4454897cc46b80ffe26ccb486e9b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.490098Z digest=sha256:262afe82ee84862d19d75a35ac0433297e3a6483a46502f6276bfb2418bccd03

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:52.493811Z digest=sha256:62058b6fe6189c527fc12ae56b6a4aa665056674ac305ccf8a6057e8c9bf6525

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.497393Z digest=sha256:c83cb707ebc5cf8d9240ea734f574553ad7a607c2f8f77950c5c2afef1e452b7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.500496Z digest=sha256:d00e4528a8983e7d8882c81ac11a4c1b11c34ebabd12d776ad117730c9d756ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.503948Z digest=sha256:24fbe28110c63921ef436097b587327d302790a7b789e9029da267be7e6b2b2f

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:bda445264396a4702b61e16bd624e35aa0e811887d68a0ef40a3a2bf65522c20

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.511370Z digest=sha256:b7dc88be14fe647f097c9e253f85ed80b066e864b57003ce61f87560c22d5a73

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.515622Z digest=sha256:b42d8d68f23745aa37227e50c90ce240959d2b09264ce9ca4dc792ab93c5346b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.519978Z digest=sha256:34d1802fb15a7bd3d0e2116180fd59767712887a5c8d4c9cfe3c13aca5035d69

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:c8f23a8921dea29ba96d8f5054efe0db1638a5a2c316e8de5f99b95dfd940270

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.

source=pdf_text observed=2026-08-07T10:51:52.527208Z digest=sha256:f146a41b5f55fe56c208a47a7d0b4820b423e1053e9fa8d732a8daf93962fde9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.530789Z digest=sha256:cf61011688b75fd263cad8b272e2f90f8f81ecdea0cc565aee348aa9a5d1fa63

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=sha256:1a71f62bb2b746a9c01a0d66731f1b5314f6c520ea167760844596c9afda04dc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.537852Z digest=sha256:2717f8dd805e1721829492faabd6a7da8099f57a796b068ae2662fcc3f222bec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.541355Z digest=sha256:2d736c2ec4e1f7a50d63c5db527af5e7d3ea1e2936ea727181c5dfc8b690528a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.544936Z digest=sha256:c3e173d4f1f242ed2ff95d85ab7f08e3a6c5ba84b53322d81f1bc78495eb33d2

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
unresolved
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=sha256:5477cf014757646074a9d458fa07e448c45bf94877aa3c2d10c196d837b92dcc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.551828Z digest=sha256:935e5bd615594185cf69f67feffb06a710731672bc16feb5ce7147dc60caf1f8

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=sha256:02b260af26757db5f5b7ebc68cb97c52686146ec7bfd3e67a6aa29f2876d2c81

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.558876Z digest=sha256:16a8c4d1920f9d46a09323a0281f0b29d1d3670faa260cb889944b78b37411e1

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=sha256:6d78d8d0178e2308dbbf6876af23382f53ba50da13b8c2ef1e54f02bc8dca7f4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.565434Z digest=sha256:9c20dbe8df21f321f03b477ad723061c45c9f7ef09e6b92469e3ffe709851756

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.568659Z digest=sha256:3d89c33d364d3ede157aaac67d24c9eeff41a2f94cb2e9757a7f43bf1880e15a

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=sha256:3014c04c9eeeba5fd0f18976c75dbd383c4856fc74270d8b2b0a54b1457578ed

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=sha256:2a9e302f7ee7a5a47f3b4896cf1000677a885639ecba26b04b596e0f9a71da97

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.578767Z digest=sha256:d0c4a7d250a478058574d11e81e23dbeb5217198fea6aa51653bb5911e1cf74d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.582112Z digest=sha256:ee13464b507f04328079f68ac370310a9b91ddfefc83e625970b971e98316b8c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.585418Z digest=sha256:aa97371614b4ae5ed27bd3c0faa93bcc9348442fe9793bffd4462b6bab6cb421

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:efb23ac80c461fdaf75d1452b34d12e78313084f6a9c8cd362aa5d8fa80c8224

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.591864Z digest=sha256:ffb7a04f556eaee01cca152fb411cb0649fa3ca11a8eeb98f005f7582653dc08

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.595108Z digest=sha256:abb07bd56496497e4da6a6c1b9a6c10a5b2685c393e2c8ed72bb3d537bf143b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.598937Z digest=sha256:ae55c049c31f8a1b065b5fed311771d2cf7d04ee3aea8cfff874d57ab88af8e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.602391Z digest=sha256:3f2b7aef42ffbb82b1585c5478170adb45773f71f9184a1eab03bad5b35f3f66

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=sha256:8cdccef1391d378ed7ed0ff0470e7dfa5e097e528cc32c392131ddd477ad0eda

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=sha256:9e09f1cb481ba5eef75a387b5f67fe87189c34f60320009ef8eb252b6aa6c5f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.613302Z digest=sha256:ac73cf47cda2405fa4c0235462dd45b2b7dd7c2e70bcd7c99dc9aecd86846d2d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.616843Z digest=sha256:22226a304c55a88ff45998458b82cd1419961bcc082b645effe7609d8fa16b03

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.620294Z digest=sha256:5c4b937bca3188cca3aa1c0be5b37ffa0162f1e4819f8efe39c78157a2d5b654

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:51:52.623774Z digest=sha256:64b61cbd45eb5082041c7edd4ce9d67dac3631b803dfab5a742a3af8b65f1772

Pith citing papers

No inbound Pith citation observations are available.