Pith. sign in

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 2026-08-09T06:31:02.800959+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=sha256:4bf6edb78651951ff97d4f55abd9b3088f94c988cef76807753e878e7c73f864

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

Resolution
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=sha256:3480a06df589483ac9651163ab6d87bb9ba040148d0a8cc325607eab9cda44da

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=sha256:3f92b6c761ac2e5bec576ea16abece02ed7c039b03e42caf860c3b776568b103

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.181092Z digest=sha256:cbeb83674d0058c9e1b48fff3903eb527b2e4e002e40da2afdec8e0be4dc505c

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=sha256:00ca4d1eff9cf470159ea5fc0bb6e7056167c0bd72826c73fa8545f8fc6f5004

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:e65201b9d08c6322b02dbc30d90a93e752196c872d82cb14e1273a70172e1111

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:adb290bc3115b6a1179e61a8f7169b2c041a8cb9e16ae3f1db8b1c1c5b0dacff

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.199920Z digest=sha256:d017ca7193e97ede0e1b3dad269ed5f540e2fb994173840d123b1b74dbd33631

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.203773Z digest=sha256:929caf518ef8add3f7aa7db146398b9e571babad9534290f1b8ae2d6280fe4a5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.207882Z digest=sha256:1c7b10be9dd69d810e6187127e0cf409b548b2e673da0816f2e733e3f211bc93

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.212312Z digest=sha256:e5a3fd1ddba04d6a1f6acc0241c2aaa8785ff1fd3fae88c7576239a91df36b25

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.216569Z digest=sha256:326e742d18e1a88f4ff587303e73c7cd5bf926d788853b6a92219e6acc834fd1

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=sha256:52ab53f54d8700407e89fd1b493b8ed9c58a7438837628ce17ce16d1e2b03383

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.226518Z digest=sha256:60330a5677b5a56fff71b4836ff268ba2e320fa6fa04e90087f584a6b9f88281

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.231271Z digest=sha256:1da940f09f170f14f274ff6eefe4438acd4944265e305bd7653825666985c663

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.235111Z digest=sha256:e832b0c7d33a2b756f485a05adca04fb6344ef7adf6d737ba7b3a249ebbfe9f5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.238751Z digest=sha256:74d55ab128586470fd0bcba5476c6f26aa11106021c0e9cc9a3c65e6beaa56fe

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.242935Z digest=sha256:18e7c619451b71c8e516ce58902303c0eeefec40deb828e857405dfa60aea9fe

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.247122Z digest=sha256:0b76f506f420dd9abfca7a56145cfee098d5969ca012f24f97a497c70b686974

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=sha256:6aa9ed2f162d2681b3672cbe1666ddd4444b0be43060e51d9da171c58cdd7d91

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=sha256:2222cac38eccd802aa37b2115d4a6ab92825147a6ab13a97623908b607e96799

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.258855Z digest=sha256:670b300d1c936758bb713882f4ff076cb2291032ab07ed2b93c019da0ecd87af

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.262988Z digest=sha256:951880307f82752f27ed2f8093b7b4fbc6c2419e5d9a00e28b2efa5850554e14

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.266777Z digest=sha256:c259fa6c14ca8dc95f3a46018595245c46c98b62caf9d48a7944d23d59470d8f

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=sha256:667d9dccf00e7d6f1a9961f3e1896397af3115c22a8f732534b573397de8c0d9

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:b50a9e53dfdeaba65e812fd334ac6d41dd988512e5a0ea427031a35e73e010d0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.279781Z digest=sha256:bf85a5ae51471d7d0b5448b258be8c82bd21cdba1b3328fa2903b705a450f3c5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.283661Z digest=sha256:93241cf22eb545517e77656b68507d1a7c9cd10f4476592084bfe48cf3bc1415

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.287283Z digest=sha256:2aa2c88283b9d79505794c92d26b8f20767a654bedf456e0c1608f9224d71bb1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.291454Z digest=sha256:98d04dfe0fc637a94004295c5cf2bb686a035c96b807bc18df1eb9bf0e17d29b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.295278Z digest=sha256:ea27830b192f713a1aa1f0624179722345a3d23a782eee7c545049f9c4bd4f7a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.299151Z digest=sha256:db2bbedd97a14a7862461a0dbf4eef8fc880af61f01d982d23aa56e580565597

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.303226Z digest=sha256:d67e3282a736336fe99adbd398625163f7e5ecc6911ae8b198c21f3f0486c768

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.307414Z digest=sha256:394a4805ca8dc90256b791cc65111641f9e01dbcee88867f68152edd8c2fc3b1

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=sha256:35002b9a8a2d1575ae012852b5c39684c47e0543114d0018a7c9cbd471aaa82e

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=sha256:4959a8956db7fcd7e49d75bf34b763545a295ae1da46acd9f4dc2e82ae21ed41

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.324356Z digest=sha256:caace5a33e1621f240a35bc60d00437fd429288ed60751dfe090a028108d40f1

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=sha256:0477b036820385c6e45c232f0e49206c069cbdc1a57e869305057942ea7b3913

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.334040Z digest=sha256:d6fddc31b88fa8ba75c601ea8c17ece5b96e961c6b183b1e2decefcfe11dcc9b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.337944Z digest=sha256:286a866c5900377311d77c849ceb8d5124338af05da95b6b931a3c82269dc365

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:d8043700cf6db702d24e6639d7b8f649367d0a4151fc2481e5b41303590d54ad

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.345961Z digest=sha256:6e8d87c8c8b22ec3a75aec2827ee1062cca75a2fe42491c0a2208ea3759e086f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.350282Z digest=sha256:c3331d800fc78c5301f48d233ee8953994690b18700453a0ad44b8d4d48f89dd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.354356Z digest=sha256:d263cc4e058b8ced6e697621136a06451929f9f4dda4ef71b141aa4ba82460b7

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=sha256:243804b557247a505fd4ccc628f211bca695eead79a7b124da244a9ecacfa140

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.362527Z digest=sha256:9531d2b20573b80eba7b70858976ff4d3ea27d39eb59a28c0f5d76e51a38e124

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.366274Z digest=sha256:c0b64d6ac70f10f0a5de6494bb9490328af672075dd4fcd6695ddbf7ed333a49

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=sha256:2a3187b59d919569826e233591e6f9312956e2112c7210d730bf2b012c71d479

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.373864Z digest=sha256:f3fd99078ae10ed41c490d1fa03a9b7b8953ee52e06a7a6210d31c2051ad42ca

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.378543Z digest=sha256:81fd03302d9bdabd1f68fd321188777ae7200bdea4cd3b0fc6f91503482627c3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.382597Z digest=sha256:506e91aed69ae8d1dd6cb5692d93c5a241daa1f92ee69c472085177efc62f7fa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.386764Z digest=sha256:c39716099fd76fb27b91922ce301299c2d49b1ee6609b392c34c0f473711872f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.390845Z digest=sha256:e33de58a828feccfce7c679299395e5ca52b2d0dda09666354e94fa29598422d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.395026Z digest=sha256:265e1b7ca87ea34bcd21095d1dde0b67cc408fa333c27b04d3b62b321624fbe1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.399395Z digest=sha256:9ab76e977da746fa58c9b0d235b0e62463f6be9125046f4a625a925c3e38e735

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.403420Z digest=sha256:11d6ff3cc04af5d24bd88953036e837851e62ba5cea13bcb7fc0bb6d15eed199

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=sha256:82273bdaac62f8998a31edaf84a0a5de93db579397e607af5003d357ef5eb516

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.411861Z digest=sha256:6269225a8398393def00f1ef211b2008905efd376bb3a932330f5bc8476eb89f

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:c3b49e011c3b366d8ac2acddb69e750f354905dd07945408b58b33a944f22a0b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.419994Z digest=sha256:767c0e0585758334df979133e8b3930e8af47dd6510bd2e4a996ae884872a8b4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T16:16:48.425748Z digest=sha256:5e560db6d03ae16bf4290590e0f979ace62edab391f9d5e95d96d35116d0c34d

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=sha256:314a80e3e9e7f0daf80ad142d0999fb7661badb343484af5c4f68b304380ce57

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T15:54:22.189376Z digest=sha256:702525d130614e027b58afed8bad018c77c4836d925fa93e8cfbcaa4c7af1a84

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T10:04:45.173272Z digest=sha256:f4160e1bdf6c3e5607f59d34874183f82e5c6c8ea237d29aa3aa8d56df0d1b93

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T11:41:36.009531Z digest=sha256:bef338d079dd77ebd531ae4c3d248c03c43be702644a89d4e986e2ba296b42a4