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Paper Citation Record · LEDGER

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

As of 9 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 4 inbound Pith citation observations for arXiv:2502.10440.

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

pith.paper-citation-record.v1
2502.10440 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:16:48.425748Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:39:08.032561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:43:23.527604Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 463b3335-dc75-4d6a-9ef1-3f50b4ebd7d4 · outbound

This paper cites GPT-4 Technical Report.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.166334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.166334Z digest=sha256:3cf069994a5ddfcf18bbb4ad473e973b1ec80ed5923653b5b42fa8f6ff049a76

Observation 4c0ada71-094e-4af2-a16b-8fa93d869710 · outbound

This paper cites Detecting Language Model Attacks with Perplexity.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Detecting Language Model Attacks with Perplexity

Reference 2

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unresolved
no resolver link, observed 2026-08-08T16:16:48.171255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.171255Z digest=sha256:7433074e2e4a18d246a97f8b98c4e4c24862f34ee1318763ebfdb892a7f48dfc

Observation a1ff66e6-852b-45d3-afcc-8bf5fa277417 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.176409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.176409Z digest=sha256:90917bdd918be08d523535fa8c5c0957a4617cb8db8a1bee101656650d579bd2

Observation f60dcd77-2dab-4321-bc4c-2ff6861f5ec3 · outbound

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

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.162798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.181092Z digest=sha256:1c593a3a9ae80a26b904ae7f983ee256a3a4a6c33613f5f396d657f2017a0f8b

Observation e6c6f53b-4988-4542-83d8-7f733db50460 · outbound

This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.185602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.185602Z digest=sha256:67102f9b916e6e1de55c7f52f7410908dafe8f62d774cba54065136e3e840f39

Observation a7038cf7-8e0b-4c91-9e31-281f329f7f40 · outbound

This paper cites Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.191060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.191060Z digest=sha256:38b99807dd884e570e5b72382fa0a7baf4e77638ea69efbd035923e92d903060

Observation 26563846-9ff8-4648-976b-bc8fa862c931 · outbound

This paper cites Nearest neighbor pattern classification.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Nearest neighbor pattern classification

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.195858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.195858Z digest=sha256:c299cf998443753bdd378ba5882ab0c72538a91e5d5715a0cca565d080d1752a

Observation fd353323-3a7f-454d-a7a0-f23b10397ea2 · outbound

This paper cites Towards next-generation intelligent assistants leveraging llm techniques.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Towards next-generation intelligent assistants leveraging llm techniques

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.140909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.199920Z digest=sha256:8b43ff60ba10407a86ce98d1f895ea7e01dab4ca6d7acd614fe084db5fb8aaca

Observation c5e74f59-bc71-4920-889b-6408f0906b01 · outbound

This paper cites Chatgpt for (finance) research: The bananarama conjecture.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Chatgpt for (finance) research: The bananarama conjecture

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.128483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.203773Z digest=sha256:0f27e7b2d0b12f2dfea761e67204670fa8bfe19dd01bff5f674ef72d6753b976

Observation 9755b568-1327-4187-99d2-c636bc0af353 · outbound

This paper cites Sok: Dataset copyright auditing in machine learning systems.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Sok: Dataset copyright auditing in machine learning systems

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.114579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.207882Z digest=sha256:bccddcf37c13a4de00fed920dbcf7f1973dcec45e95d3309b4cb4dcdecdc1277

Observation 442a1a94-9d79-4ddf-adf6-02310eb645b2 · outbound

This paper cites When backdoors speak: Understanding llm backdoor attacks through model-generated explanations.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning When backdoors speak: Understanding llm backdoor attacks through model-generated explanations

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.100884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.212312Z digest=sha256:f096fe524580db6917659403dd36fba759744bf941957a8d4598747f1cd19884

Observation 33b7b84a-7167-4250-8c3a-539c24245cd0 · outbound

This paper cites Cpr: Retrieval augmented generation for copyright protection.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Cpr: Retrieval augmented generation for copyright protection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.087763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.216569Z digest=sha256:4a4fc4286b23be48b9a2da7d9597d90200eaffb5610a5ba3076903400df67ac4

Observation 3aabf8a9-bdfd-49b0-9fa9-19b3588ec7e3 · outbound

This paper cites Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.221546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.221546Z digest=sha256:96a7410276af5d7b3e758acc80d433d921afdc1df699f70200fb2e9f9da94ff8

Observation 4498eb4b-bfb4-4913-adce-71d9c933fa1e · outbound

This paper cites Zeromark: Towards dataset ownership verification without disclosing watermarks.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Zeromark: Towards dataset ownership verification without disclosing watermarks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.074539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.226518Z digest=sha256:88efbd79d0be2bebc64abef055eb9fee729d684af33ab805651b402951255eb0

Observation fc4dfa39-fd5b-40d2-a25b-787d4bc4cb31 · outbound

This paper cites Domain watermark: Effective and harmless dataset copyright protection is closed at hand.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Domain watermark: Effective and harmless dataset copyright protection is closed at hand

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.060535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.231271Z digest=sha256:40b0a79e3a26e6729ffcac9a633956db246c0ca94ebb421bee3f1fd17cb4e13b

Observation 3cd336d5-99a1-45ac-927c-8cc9ccdb788d · outbound

This paper cites Loggpt: Log anomaly detection via gpt, 2023.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Loggpt: Log anomaly detection via gpt, 2023

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.047537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.235111Z digest=sha256:a0dbb7f8e5acec00a2cf124514a257f56607cea8e69eb236aa8b9e59868f5431

Observation a4a5406a-6441-4bd2-805b-f0a4128977d2 · outbound

This paper cites Towards label-only membership inference attack against pre-trained large language models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Towards label-only membership inference attack against pre-trained large language models

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.035246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.238751Z digest=sha256:15eee76ace7e922728aa09c7501aa13ff34086acc51d33630335d4647d957442

Observation b7846bb0-39e9-4205-9446-0daac0a9be4a · outbound

This paper cites Is difficulty calibration all we need? towards more practical membership inference attacks.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Is difficulty calibration all we need? towards more practical membership inference attacks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.022451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.242935Z digest=sha256:dc910301dfff444c76e14079712e580186ef2dc29f8fef2c50c08700131b7b4f

Observation 1e999844-0d43-4b97-9caa-c5a622a3273e · outbound

This paper cites Poly-encoders: Transformer architectures and pre-training strategies for fast and accurate multi-sentence scoring.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Poly-encoders: Transformer architectures and pre-training strategies for fast and accurate multi-sentence scoring

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:49.009418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.247122Z digest=sha256:b5fe298f31382d198adeb6481138a4ac20bbbfef1345cfe7b89f1c43a8965444

Observation b65d6160-67c4-45c2-b2f0-5bb08fcb560b · outbound

This paper cites Unsupervised dense information retrieval with contrastive learning.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Unsupervised dense information retrieval with contrastive learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.251150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.251150Z digest=sha256:1cb098741c9f2d03e7838833a4b4ca1028057ec7cf99f5603090bac01bacc1ed

Observation b6779668-fdef-40ec-9492-3702861ef1a1 · outbound

This paper cites Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.254855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.254855Z digest=sha256:a1f8abd6e8e81f741eb329fdf6ed905b818fac2b16a5afa47cdb272d20ab955e

Observation 692f5b22-181c-46b0-bd89-cf81b8f6d289 · outbound

This paper cites Ward: Provable RAG dataset inference via LLM watermarks.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Ward: Provable RAG dataset inference via LLM watermarks

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.988790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.258855Z digest=sha256:e2f9b3a4ca252a204f4d124baf7dd66084b7ba4d7b025b652c43fb4d64081c4b

Observation bb13a131-f5d2-4d56-b04c-26a926110e8e · outbound

This paper cites C-rag: Certified generation risks for retrieval-augmented language models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning C-rag: Certified generation risks for retrieval-augmented language models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.975717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.262988Z digest=sha256:0c798fb4b0b0ccff0845646fb2f3e9d72f089012ab1e9900cd7ce28e6c85cd06

Observation 77cc1325-73a7-4700-b8a2-f409d5f4af07 · outbound

This paper cites Relevance-guided supervision for openqa with colbert.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Relevance-guided supervision for openqa with colbert

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.963338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.266777Z digest=sha256:fe746839f77413ebde699de2c340c7dac048947fd12578ace09b59611fe26754

Observation 42fa7f62-9199-4a79-b8a9-dcac1e75db20 · outbound

This paper cites Certifying LLM Safety against Adversarial Prompting.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Certifying LLM Safety against Adversarial Prompting

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.271400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.271400Z digest=sha256:a39a1ce037aefcbed5f68284351821142efd58bcffa07b6b2e2b92e9bd0741c3

Observation 08e48554-06c8-4f17-92da-3c4898e4dc5e · outbound

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

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Natural questions: a benchmark for question answering research

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.275615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.275615Z digest=sha256:235486e528b766de182e22180db1fd49153dc8d9a55754d3966ec1f527537118

Observation 9d61446c-52cd-46ef-9393-9675b4bd15bc · outbound

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

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.941853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.279781Z digest=sha256:62a005ff09b29395ad8632910f2237826e04cca2cb40c4bebe308acb5f325bfb

Observation ea83e215-2c2b-498a-ab01-2de11996a6af · outbound

This paper cites Towards reliable verification of unauthorized data usage in personalized text-to-image diffusion models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Towards reliable verification of unauthorized data usage in personalized text-to-image diffusion models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.930349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.283661Z digest=sha256:fe8f6f55acd9df54a36bd419d0c61a2a1e2048a762180ffe3f6b171e1d0461ce

Observation 480cafda-9375-4b8e-aa4b-64cadea9d47f · outbound

This paper cites Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.918683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.287283Z digest=sha256:7b7329277239a80a3ac9d5992ceeac7a06219f458bf2e3c3791ad4ca4ceb584b

Observation dee95df1-9987-460b-825c-55cf826aa3dc · outbound

This paper cites Move: Effective and harmless ownership verification via embedded external features.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Move: Effective and harmless ownership verification via embedded external features

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.907122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.291454Z digest=sha256:4b0bfca0a8802c8384e34398d85821b71641cbb8d597f3bdecf799717747f062

Observation 6d15c5e5-c428-4f28-ae12-a18d7a84a28c · outbound

This paper cites Defending against model stealing via verifying embedded external features.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Defending against model stealing via verifying embedded external features

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.894733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.295278Z digest=sha256:4a78d0b9b065d02a0c28a410b11a2689db6a9cd881a8ff313ece45fc78211b41

Observation 0ff8f1b9-53a0-48b3-8f0d-f31f4357aae6 · outbound

This paper cites Black-box dataset ownership verification via backdoor watermarking.IEEE Transactions on Information Forensics and Security, 18:2318–2332, 2023.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Black-box dataset ownership verification via backdoor watermarking.IEEE Transactions on Information Forensics and Security, 18:2318–2332, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.880916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.299151Z digest=sha256:a915115b08611c9b0fdb715748edda8d4d8856ff7fdd5298be3040aef734177c

Observation c70a21d2-a933-4a83-85d3-0c253e4a2d0e · outbound

This paper cites Lumenova.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Lumenova

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.867197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.303226Z digest=sha256:fb58229b99f034e0749efd0f99e7385c17c54b5f84403d9e10cde4a742646b2c

Observation 738c67b4-a8a8-47d4-a747-0c967e0008d1 · outbound

This paper cites Smith, and Luke Zettlemoyer.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Smith, and Luke Zettlemoyer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.855030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.307414Z digest=sha256:cf2c19291209a221df11efebc33ae70d0dbd8fc4be1071e3dff7f756f1316773

Observation 445024c6-8768-491f-9440-b41aa0cef5df · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning MTEB: Massive Text Embedding Benchmark

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.313237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.313237Z digest=sha256:3dd26e7bf3ae3d82dbba65934d068af7ff1365005af984dd0da6346f847d5247

Observation d8e89870-d9bd-4eb8-8d34-e0b40d232e7b · outbound

This paper cites Passage Re-ranking with BERT.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Passage Re-ranking with BERT

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.318942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.318942Z digest=sha256:c7b5005b0b75af7ee238fa9469d8cafafe2f241b4047b7a3c6d31f650bd3cb2c

Observation 31b64d23-86b0-4148-b206-fd7e841ced30 · outbound

This paper cites Develop secure, reliable medical apps with rag and nvidia nemo guardrails.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Develop secure, reliable medical apps with rag and nvidia nemo guardrails

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.843577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.324356Z digest=sha256:7a61a9ff38836a9014fd5a42f127c19c6c7c88ec4fdbd7613785155a0508913f

Observation f1a118d2-8a52-4343-b724-9a54fd3ebcf7 · outbound

This paper cites Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.329182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.329182Z digest=sha256:67d4f7bd9de865f181c45204a7ab242241f691454e0720180704545d0bc1772d

Observation 2cbe320a-e191-44ea-9877-eab31928dbbe · outbound

This paper cites Xing, Sham M.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Xing, Sham M

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.832256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.334040Z digest=sha256:06af3bb8af524f9eb677e4aefe04e886f78804eb0aca43d8d104fbfb51f25ae3

Observation ef87de50-518b-41b4-95e6-e6050fe94d75 · outbound

This paper cites Introduction to mathematical statistics, volume 202.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Introduction to mathematical statistics, volume 202

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.820647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.337944Z digest=sha256:af13ba886b1c0f5367e54536d4ac9be673e1c024446a33ce018aeb32ccda4cef

Observation e61c55dc-0719-48ff-b9a5-4692586ea10a · outbound

This paper cites Explanation as a watermark: Towards harmless and multi-bit model ownership verification via watermarking feature attribution.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Explanation as a watermark: Towards harmless and multi-bit model ownership verification via watermarking feature attribution

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.341930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.341930Z digest=sha256:b15ebc674e0003b79353398c3b9b00791af0827fbb179bf044392c28a4bc1200

Observation 4147d2a1-8dbe-435e-9925-f251611082f9 · outbound

This paper cites Membership inference attacks against machine learning models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Membership inference attacks against machine learning models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.803120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.345961Z digest=sha256:bbf77bdbd3e7a26c948c001d58e941ad101f10741148d2e3728166fc2115cd38

Observation c048d19f-af43-4155-92cd-2a87e9b57962 · outbound

This paper cites Large language models for forecasting and anomaly detection: A systematic literature review, 2024.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Large language models for forecasting and anomaly detection: A systematic literature review, 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.792085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.350282Z digest=sha256:759157b3304df822c878b240e8c3f57775bd7cf6406c170ab57c54b94b270cbc

Observation 61ae256e-1887-4164-b966-3dd465056ce3 · outbound

This paper cites Did you train on my dataset? towards public dataset protection with clean-label backdoor watermarking.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Did you train on my dataset? towards public dataset protection with clean-label backdoor watermarking

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.779822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.354356Z digest=sha256:b3d0292d0d0a547aee8a513e3d29c39c7ccf1f109a5fe49d0697c60e998589c4

Observation e1bd12e2-514c-46ad-bb97-47c6780fe47f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning LLaMA: Open and Efficient Foundation Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.358265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.358265Z digest=sha256:389264f7e149da361431d4fd6dd4e0d21b9f55a2e4429e60b66685d257b1036a

Observation 91c708ed-d12c-4b85-b8ca-632490c0ee46 · outbound

This paper cites an unresolved cited work.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:16:48.768072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.362527Z digest=sha256:9b9b50218f5b26c6e98a594b6a5e0071fe47ddffae38d1919a2cedf2384ae983

Observation b65d7171-de4e-47c3-9ea1-33a7ec1a8842 · outbound

This paper cites Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.755850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.366274Z digest=sha256:ff25afea1d065c16df2d1c2a019df1f11d25537816558d97f00f914e61a23771

Observation 3f95822c-65e7-4f5a-b494-0d1404e03b18 · outbound

This paper cites Retrieval-Augmented Generation for Natural Language Processing: A Survey.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Retrieval-Augmented Generation for Natural Language Processing: A Survey

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.369842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.369842Z digest=sha256:89c1c8f8ca68ccb36dfd9c8d4b895a4e5d36371ceac93ba5affcad63838ee2f1

Observation 0c89cb29-90e0-48d1-9526-39f3f810ba06 · outbound

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

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Badchain: Backdoor chain-of-thought prompting for large language models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.744849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.373864Z digest=sha256:bd2e88f11897620f41e0bcfcde37d20f56b2be327c884abe668483635a5dcc4b

Observation aac91a7d-519b-4f66-a8b9-147c568ff28f · outbound

This paper cites Approximate nearest neighbor negative contrastive learning for dense text retrieval.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Approximate nearest neighbor negative contrastive learning for dense text retrieval

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.733867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.378543Z digest=sha256:96b2581058fb9c7699f697c1dddbb6f618b6b8c3c01ee1d994f7ec411f21d34a

Observation 665e14b7-820a-426f-bddc-2a91c9ded5d3 · outbound

This paper cites Watermarking graph neural networks based on backdoor attacks.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Watermarking graph neural networks based on backdoor attacks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.722643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.382597Z digest=sha256:2676b4bec9bcd790cbfedb72e408f299bf6ba46731a6be421fda3668463c4822

Observation d7f3c6d1-3bc4-4a8a-a057-a18d6ee9f9e8 · outbound

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

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.711123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.386764Z digest=sha256:2ab6dd8ef98280ff9c4c6806eb54ea75957442989fb8cf6c77e6c928a203b598

Observation 93d6cb67-e266-47c1-83c0-37cc19032239 · outbound

This paper cites Promptcare: Prompt copyright protection by watermark injection and verification.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Promptcare: Prompt copyright protection by watermark injection and verification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.698767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.390845Z digest=sha256:158efb43e898f916504c60c55cb65d1047659a4d536a76aac369b9cfcb7f6e50

Observation 52eb605c-815f-43a1-87b2-cecbdf6872c3 · outbound

This paper cites Probe before you talk: Towards black-box defense against backdoor unalignment for large language models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Probe before you talk: Towards black-box defense against backdoor unalignment for large language models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.687056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.395026Z digest=sha256:d7b78e853b3389df9af2a9986bc191dbf584f36687e86c3f92fc4b1e02774739

Observation f6b2c3d4-ea9e-47e9-9edb-d3fed1e80a63 · outbound

This paper cites Almanac—retrieval- augmented language models for clinical medicine.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Almanac—retrieval- augmented language models for clinical medicine

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.675317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.399395Z digest=sha256:49a3b49f093ae493ae53c36573d59d3817cd67930c8192fc1439a269582f16f9

Observation 8e1f7b1c-659b-482e-8215-584d58222257 · outbound

This paper cites The good and the bad: Exploring privacy issues in retrieval-augmented generation (RAG).

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning The good and the bad: Exploring privacy issues in retrieval-augmented generation (RAG)

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.664091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.403420Z digest=sha256:2d1cd702fe8c3f52e6bc275ee7da06cce099b53177a2019a1d678878659b777d

Observation 666046e8-f994-4a9b-ad59-a27034aa30d0 · outbound

This paper cites Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.407726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.407726Z digest=sha256:c265e58d1e868b4b3ef659e9c4da0bc3a374776b278d717a7a150a850016f01d

Observation 336132c0-871f-470b-b83e-1cbb1fc3a0c8 · outbound

This paper cites Enhancing financial sentiment analysis via retrieval augmented large language models.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Enhancing financial sentiment analysis via retrieval augmented large language models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.653002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.411861Z digest=sha256:d2dce628dd2a826d7b6b12ddeeae8f9dc451822f56e10df321be29f001282909

Observation 13d5e32e-e9bc-4265-abac-a9d4423c69d7 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:48.415778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:16:48.415778Z digest=sha256:d83fec4b3fff7b6e50a95b7dcc1ff39fcf1b189a5e1e1adeb44101167bad3a83

Observation a7ee0d97-35da-4912-b5b3-29692a24e250 · outbound

This paper cites Can’t Help Falling in Love with You.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Can’t Help Falling in Love with You

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.634974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.419994Z digest=sha256:6601ee37ad85766a526f49f820768b824f64b4f435c4eccb2e407a05337a9321

Observation 3c90ea67-0ece-4b86-916f-794cd128544c · outbound

This paper cites Another recent set of works [ 21, 38, 39, 57] focused on exploring or mitigating the privacy vul- nerabilities for RAG, which has a quite different goal from ours.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Another recent set of works [ 21, 38, 39, 57] focused on exploring or mitigating the privacy vul- nerabilities for RAG, which has a quite different goal from ours

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:16:48.622336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:16:48.425748Z digest=sha256:7919abc2e93eab8158ffb2863c129214148071530947b2fb9dfd3ae8d936d39a

Pith citing papers

Observation c983fa00-3a4c-4e79-b57d-99a0ce40efb3 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

Reference 218

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:08.032561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:39:08.032561Z digest=sha256:c7dd36c481448625614aae8e5929f2acaad5fa492ea106f8f257cc6073357c17

Observation 6479b430-9e9f-4df5-9c51-de363142a921 · inbound

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models cites this paper.

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:01:16.626565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T15:54:22.189376Z digest=sha256:8b90e32eee11e5ee18167f32ded9469499edc9bd7d73cf9059d6a4e5f0f5595c

Observation 461db6df-a7e8-4182-8321-9676ba68fafe · inbound

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation cites this paper.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:04:58.844945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T10:04:45.173272Z digest=sha256:a476da98049a169e513a4401332c32f62e95e7606cb8c34f2aab40418060ea43

Observation c7f39edb-3624-4bc6-a349-247956e17b98 · inbound

Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought cites this paper.

Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T11:43:23.529076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T11:41:36.009531Z digest=sha256:3e216965df9a4f1428da0d6851f85a2fb93f76a9a9954633b6a97e491fbb045b