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Paper Citation Record · LEDGER

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models

As of 21 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 2 inbound Pith citation observations for arXiv:2501.05249.

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

pith.paper-citation-record.v1
2501.05249 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:38.462647Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:38.701473Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:34:27.258890Z

Reference resolution

82 of 82 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved76
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8147d5c0-7044-47b3-902d-ce6d0ef174e2 · outbound

This paper cites Wikipedia.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Wikipedia

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.474904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.474904Z digest=sha256:11ead66f3145470d5bbc1420c365851019b5cee4a00a2a9e130840d16f93625b

Observation 77d54df6-c69d-42b6-b172-c9bff5b719af · outbound

This paper cites Code of RAG-WM.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Code of RAG-WM

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.531083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.531083Z digest=sha256:f450337c4f820d07daad6f49439952ee3214aea908b085dddd220171ba38dc19

Observation acaea1c3-3781-4f45-a9e1-cb96724ddd43 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.543469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.543469Z digest=sha256:f5011fa0d19d8e353f475eeed95b341a90a10755e87aaaef2407840f043d6227

Observation 7eebffaa-16a8-40e1-86bc-5c99acae4ca1 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:41.100277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.557232Z digest=sha256:4d2b6cb2f648d884a1607ae62913315f5f112b9a6c7db68b44db9d63c8a259fc

Observation 3aa19364-0dd2-452c-b4af-81d90d2bb186 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:41.076029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.569269Z digest=sha256:07477eee713f0bfa38d625c6785f03219605ba21a7e541aefbe4e1325cddb7ee

Observation 4cf8feb6-28be-435f-969f-9f331c77ede0 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:41.054154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.674272Z digest=sha256:5e464916b466e736731cf3b6be31005ca98c96f82cd1528145ac5708dd642563

Observation c9023845-d06b-442f-9336-4b92bf17ff19 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.710218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.710218Z digest=sha256:9878cbfbd71808bee6ad0374d477c177d7a991e6534babb0aa2993dd88e101b9

Observation 91ad4e84-f436-4a33-80c3-b91f7a4acdc9 · outbound

This paper cites Detecting Language Model Attacks with Perplexity.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Detecting Language Model Attacks with Perplexity

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.717685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.717685Z digest=sha256:1fa6c24c183b490d8ecf6839bb441740f856641228ae16556eba63f8b59b6105

Observation 422b61c0-f475-4612-ba26-5656d0fd9b14 · outbound

This paper cites Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.725812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.725812Z digest=sha256:32fbc40f30215dba2c7e2a1406c1bb43c5e89263277dec700d494ebb36a111f9

Observation 7806d2aa-d7f5-4413-906c-c0047f09870a · outbound

This paper cites PaLM 2 Technical Report.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models PaLM 2 Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.732025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.732025Z digest=sha256:10aec0e9105775ec174410e17cb45b5f74419a4493d99dec1368dd87432cd07a

Observation 8ff7f2ab-8d41-404a-b5d4-920c914d1ef6 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.738450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.738450Z digest=sha256:84a26643f0be9d9b1e1258ca1e1acb5055b9d5202cd4a7e2fb0d7f284186124d

Observation 5ab38ad5-a305-488c-a48e-e0fa1bf858ea · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:41.034338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.794822Z digest=sha256:261d70679494eee08a8ed53be1be9929b72dbcdef38d6e4205d181f650e62f99

Observation ac6ddd7a-f558-4951-9b22-884d9b5e78d4 · outbound

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

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.858546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.858546Z digest=sha256:2ed89a2d3bd972006490ee56757c82f454fa87763f4fec9649c6274a2ece0a3c

Observation 8f6764cf-7eaa-4653-aa02-ea99392a7e24 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:41.015897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.865413Z digest=sha256:95dcee87b1e7e0860401410e6b9db1242bd77a286e04075215a77dd597df878f

Observation 2f7ab26b-ebc1-4af4-8c22-a8630f448bac · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.998198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.874226Z digest=sha256:a68682a8d811b279e447aa8c3af3bd5159731c2cac9dc5b959804e6cc2ff4d8a

Observation 5f877055-644a-49d4-b869-211f5e4adb39 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.980825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3d8b481c-c25e-45d1-b929-1a8ce97435ee · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.887690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.887690Z digest=sha256:905ae2a57864a319ece2f4c6e4291ffb6d7007403e974eecc83ec8a5224c8a23

Observation 6795af17-acec-4d94-b9f6-ca7294135be5 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-08-10T21:18:36.963131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.963131Z digest=sha256:b4ca033c07616a4e4f500a383de757aab0697e3a2559ceddd85e1495faafe610

Observation a3416084-8193-4906-932c-48aaf83156c3 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:36.989003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:36.989003Z digest=sha256:0b611607b9d9e03c685ef1ee37f6a48cc10cd69724ca077223b5072f0ddf4103

Observation 8fd7496d-9296-4329-bcec-378c3ca03e94 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.928850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.996592Z digest=sha256:eee552f6fd6498f9ab86e9a8102801ccca890e8d3b3e7fe33aaa7448fc02ea62

Observation c2b806da-32df-4447-a9b7-7f8ec9090e8c · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 21

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unresolved
no resolver link, observed 2026-08-10T21:18:37.004523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.004523Z digest=sha256:9126dd76d0ed6bf0eb0969d67e15613a99bc577b260487a065164debc15155d3

Observation 794aeb84-7885-4901-b8fa-f492db74bc45 · outbound

This paper cites Unbiased Watermark for Large Language Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unbiased Watermark for Large Language Models

Reference 22

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unresolved
no resolver link, observed 2026-08-10T21:18:37.013313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.013313Z digest=sha256:e85977388f387eefc23c93120f3eeb89dbdbb4818451539be0df1ec39f74db9e

Observation 9101942e-6c53-4adc-a1ed-1489ea01ef29 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.881701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.021222Z digest=sha256:c6d2de4622611eb825ed7b9fbb42368df12b304a112263971797c70ffcbd6877

Observation 8d9d4b0e-9a11-406f-9b0a-009a8a8b321c · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.102770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.102770Z digest=sha256:b2410e95905541562422e3fdd4d3957b8727506a3a5323945a6b9d7ff54a75a6

Observation b844ada4-46f6-4602-880e-38afa797ceab · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.129095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.129095Z digest=sha256:34111fed92b24923142c04b72d235d69b5a8b42168dd3c447cbdbdcf5bd78be8

Observation c3def0e5-5b9a-4bf5-96bb-ef882e0bbcb9 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Categorical Reparameterization with Gumbel-Softmax

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.137859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.137859Z digest=sha256:c4909e77da8228dbbdff037220bf503e0e23c089fdfbae4067cf43ee6b9855f6

Observation 7899a5fd-00ac-45c0-9697-2e8223a619f5 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.862445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 50301a86-9727-43be-8924-76c4affc20c3 · outbound

This paper cites Active Retrieval Augmented Generation.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Active Retrieval Augmented Generation

Reference 28

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unresolved
no resolver link, observed 2026-08-10T21:18:37.151934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.151934Z digest=sha256:4ebc4f0d1dd81aae4e16cbdb6cc164b2837b33c143097fd1905207a3ede4a3e0

Observation 88c0c4b7-27dd-4ca8-98c8-5c201f0f1713 · outbound

This paper cites Ward: Provable RAG Dataset Inference via LLM Watermarks.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Ward: Provable RAG Dataset Inference via LLM Watermarks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.220913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.220913Z digest=sha256:b7c308183f655dfc4843c00b27a2bfaa69f320b35bb158609462bd79aeba84dd

Observation 99f15078-c90b-4dbf-b9da-2467df9497f7 · outbound

This paper cites A Comprehensive Survey of Watermarking Relational Databases Research.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models A Comprehensive Survey of Watermarking Relational Databases Research

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:18:39.108815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.305780Z digest=sha256:06588ccdb334a171450e9116128530f6e957740493a2a75b802047f83bc82e4c

Observation 9a5313a4-6076-4524-81cd-5bae7a5f8873 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-10T21:18:37.314115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.314115Z digest=sha256:c01072a65e83c45f93ff1ba8be21f977d7de7e87316ddd5ce542acb33b27c4f5

Observation ba44eed6-1601-41a1-a379-8a45ac36141c · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 32

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unresolved
no resolver link, observed 2026-08-10T21:18:37.324081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.324081Z digest=sha256:06afe11d192d7854138585a88a057afcc4495d5f0bd8201bc37a8545d4b3d637

Observation a1a48d3d-7f04-4e25-ba63-0febefc4223e · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.821933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 485704b9-789f-4286-96b1-535ec1941b44 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.518257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.518257Z digest=sha256:574abe3c479c2ea91964ec3a479a9330e6421433e8d680aef6b5ebdbd82678ee

Observation 1ec72dc2-31c4-4141-8315-f3f9a89637b7 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.752652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.525770Z digest=sha256:42d3b7f3514db2222c819b90121b2a538406bffeb94d2a916633b781a09780e7

Observation 97be0fb4-b840-45c1-a67a-fed8a6c35421 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:40.689877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.535203Z digest=sha256:fe73a29b3a526e7195ab9cf45a2c86ad316653221088fe2e226a402efff6bd11

Observation faf993d2-9ff1-4ad7-86b7-b8dd0efe2462 · outbound

This paper cites BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine

Reference 37

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source=pdf_text observed=2026-08-10T21:18:37.542882Z digest=sha256:d2eb6d6fdbd2f794a6e9745e9a4ba7d5183fd6ad02e536e4ce9042baa5245091

Observation 15391670-aabd-497e-bd9e-2d17d2ad4ba5 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 38

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.549388Z digest=sha256:bb6f6e250294c5e7ff466bff8afa9a94615771daa317e80a82dc90443dd8d92a

Observation e05a1b1a-bd53-4d3d-baa0-81e99cb3899a · outbound

This paper cites Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation

Reference 39

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source=pdf_text observed=2026-08-10T21:18:37.626720Z digest=sha256:b8ab6a5667e672ebc4a3e47ce95878d514dc9eb6a6986518bc765cea5d217eca

Observation 26753a76-6c35-4844-83ad-93e47942dfad · outbound

This paper cites Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering

Reference 40

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local_arxiv, observed 2026-08-10T21:18:39.010947Z

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source=pdf_text observed=2026-08-10T21:18:37.639974Z digest=sha256:40bc073dd8e355531d300f9d7c3ff213e67887fe91249a93b0df6d6934f6ae7d

Observation 837ab7bf-33fe-4ff1-85ab-c5eb4181077c · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:37.645058Z digest=sha256:cbf9c86ba0aaf023364b77cffd2425a1ae5000cebaf5f797480b4f523e8d16a5

Observation 22ef98cc-43cc-41a9-ae72-f2890fe96250 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-10T21:18:37.649330Z digest=sha256:4ec401da2c699b6c234590231448f26468988306faaafe3f5a5817c7721f56c5

Observation d5f9dae0-459f-4b14-989f-e7cc7325cc23 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 43

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.654020Z digest=sha256:b6c48301d4369a0bb90c2def90092cb58a531dd5f793f5ec10e2b3494e53ca2b

Observation de732915-dfac-4e8b-b5ae-45c3c7881368 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 44

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raw_fallback, observed 2026-08-10T21:18:40.592696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.659175Z digest=sha256:7f7f1c693e8f5e4d41094e1241db6ab6720d8ffae6b569b535fdd0b368baba8d

Observation afbd8f46-8882-455f-a684-99a8b1e2fcb1 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 45

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raw_fallback, observed 2026-08-10T21:18:40.482441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.665546Z digest=sha256:e3e11702b34912d59f438603fd69a9da9203e50df331549fe09e6f03306b1780

Observation 4ffb4e76-0a63-465c-997b-7eb0dfb0d33f · outbound

This paper cites DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:37.670075Z digest=sha256:c0c5ccdb0c13243d6248769edd3d5813f4cd189b2ce0cc3eb05003fa8fa6d326

Observation fca8b3bb-118d-4794-bd9a-37d8e85b832b · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 47

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raw_fallback, observed 2026-08-10T21:18:40.462901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.675718Z digest=sha256:be5325201d8dbb7780c5152421573428ddba79616ecad1aeba65dee8349c222e

Observation 41b955e6-59a0-4082-93ac-8e8aeba6de37 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 48

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raw_fallback, observed 2026-08-10T21:18:40.441534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.682063Z digest=sha256:d7fd14ebecf945adf72f11c16281075411ad044322d827058b51e944c98508fa

Observation 44f6ab38-4151-4399-9788-dd6330e9494f · outbound

This paper cites Revisiting the Robustness of Watermarking to Paraphrasing Attacks.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Revisiting the Robustness of Watermarking to Paraphrasing Attacks

Reference 49

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no resolver link, observed 2026-08-10T21:18:37.739823Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:37.739823Z digest=sha256:7f26796b59f8c63ba220b7f220e92229c649bd2982d919519cf21c4728a4263f

Observation d24b2b8c-6ded-4144-94b8-61984898ba1c · outbound

This paper cites Embarrassingly Simple Text Watermarks.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Embarrassingly Simple Text Watermarks

Reference 50

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no resolver link, observed 2026-08-10T21:18:37.790541Z

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source=pdf_text observed=2026-08-10T21:18:37.790541Z digest=sha256:3a1bbec1074b69f5e7d806aff1b2c487cfd8f21950d532ce11c8094e612b0e68

Observation 90cbdc9e-1ef2-40fb-8f4e-b37079411b86 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 51

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raw_fallback, observed 2026-08-10T21:18:40.420777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.795634Z digest=sha256:7810b4cd23ffd547eae6cff8c7b91b0e5699cd21c7ad6755a42d182f1de953de

Observation 09f4a30c-820b-4381-85a7-6bcb3c625646 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 52

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raw_fallback, observed 2026-08-10T21:18:40.205184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.801140Z digest=sha256:6ae632a94156c2e96e47aaa5da4c1a816ded0beeec7414d5b967d8d3a23890ca

Observation d13a10b6-1dee-4ce5-8f32-e3f14f2b4762 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.806120Z digest=sha256:0afaa35ff2eab6a4484b5fd8d1d11929453b22c8666bbfd2d989d7790e05adff

Observation 9335f890-df07-4382-aeda-dcb263dc01db · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 54

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unresolved
raw_fallback, observed 2026-08-10T21:18:40.051772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.810523Z digest=sha256:b095019c5be726c915e3f5554022eef3a1aca9a32c1f75373819e849820d16d1

Observation aec36bb3-2c12-4bda-8d2e-6c49d37e503f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 55

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no resolver link, observed 2026-08-10T21:18:37.816236Z

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source=pdf_text observed=2026-08-10T21:18:37.816236Z digest=sha256:2e22abf9824f5720354fdf55fd4163654c7752e5a0c7e3cdf0ede5788ef0dbac

Observation 1eb15c2a-63bc-4f36-a161-f73b3d2d23d8 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:37.821496Z digest=sha256:5cf8e29f9c9b8020cd978e2a96ee80bc0dfde05b1bb1f4fbbc6789f052dd0bbf

Observation 0c672997-c869-4a66-9a34-04145bd3d826 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 57

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unresolved
raw_fallback, observed 2026-08-10T21:18:39.931261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.919715Z digest=sha256:bab766e48405cb44da7625724de64ad69822d69fe4ccbf2fe2a5fd79cce6e001

Observation e98ef42f-bb89-4d04-81c1-66fb615dd72d · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 58

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:37.987731Z digest=sha256:bbfb9411c0c834db604ec4b9558ab7f2561184378a7d266cae52f205bb5d58f2

Observation 52689dbc-31e1-4637-9d2b-8dc10e226e9d · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 59

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raw_fallback, observed 2026-08-10T21:18:39.833974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:37.994945Z digest=sha256:2665da7b1b29e4444ba95587ff96b1da21864fb971a06cd7cd430e3eec7e4afa

Observation d7692541-04ee-47f7-863a-7632a3e154e7 · outbound

This paper cites UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems

Reference 60

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no resolver link, observed 2026-08-10T21:18:38.000721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.000721Z digest=sha256:037956e8aeb59a002719001ded2b8578ec2515d776292ef94027417fbeec9e77

Observation e53bb490-149a-4943-b307-da663456c23e · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 61

Resolution
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raw_fallback, observed 2026-08-10T21:18:39.815929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.006459Z digest=sha256:84a5bd8022565e95163cce3def68996fef4bf4bc04a674a68592ff0526308ec1

Observation b09d37e2-a100-4b9d-b3d0-92e3ef8b246b · outbound

This paper cites A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models

Reference 62

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no resolver link, observed 2026-08-10T21:18:38.011511Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:38.011511Z digest=sha256:e3087eef6919752bd342ebc97cf2310ecfdf6a3cadf309601f270510827840a3

Observation 9523ba82-2a97-41d5-95a6-4184f52df994 · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 63

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no resolver link, observed 2026-08-10T21:18:38.016791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.016791Z digest=sha256:2c52a5083098c6fc7f5a6110a88be056bb46d68360c8bda40c92ea1a99562538

Observation 8aa07805-444a-4fbc-8247-9b29140d05fe · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 64

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unresolved
raw_fallback, observed 2026-08-10T21:18:39.769066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.022778Z digest=sha256:8076f6de1384de6dc4ff1f69555a13cce314636932c5dccd57f2697528bc5de9

Observation 8a42cbdd-cf89-4cd8-9d0e-99fc4e3e63b5 · outbound

This paper cites Corrective Retrieval Augmented Generation.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Corrective Retrieval Augmented Generation

Reference 65

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no resolver link, observed 2026-08-10T21:18:38.029809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.029809Z digest=sha256:e903f378cb18e50de251aa8e37f743926e2a6d23a4af300549754d05a9ee12c3

Observation 3f542b61-2991-4fd2-98a7-c69fc8edd621 · outbound

This paper cites Watermarking Text Generated by Black-Box Language Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Watermarking Text Generated by Black-Box Language Models

Reference 66

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no resolver link, observed 2026-08-10T21:18:38.100584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.100584Z digest=sha256:78eb5dd767e5fee87d2e1d74d653c8bf3974260474aaf91697768861715ed79a

Observation 349336fd-0ce7-4407-9373-26d90c024edb · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 67

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no resolver link, observed 2026-08-10T21:18:38.163794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.163794Z digest=sha256:c0941cac6c9bc3cb4502a38013dac85aaa845737424356f428f77f505784c0b4

Observation 1072f48e-899a-4422-b982-516b8962f626 · outbound

This paper cites Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models

Reference 68

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no resolver link, observed 2026-08-10T21:18:38.169092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.169092Z digest=sha256:5059f9416c9fb78eebe418a77014d3acb75f620d724c88f928fe1ff682ee8532

Observation 77495743-2d0f-434b-9547-f19eb645c48a · outbound

This paper cites 2024.{REMARK-LLM}: A robust and efficient watermarking framework for generative large language models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models 2024.{REMARK-LLM}: A robust and efficient watermarking framework for generative large language models

Reference 69

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unresolved
no resolver link, observed 2026-08-10T21:18:38.176684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.176684Z digest=sha256:a3565ae5f8793766c0c3ecf457f690ce41b58f610c0401abecc4143134302d94

Observation 2699c040-da9e-4814-bbc2-c3ee0a067204 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 70

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no resolver link, observed 2026-08-10T21:18:38.182546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.182546Z digest=sha256:f34663df6b330c8382a0f21032dd727952df2f892815caed74e828d7a10dc71e

Observation a676ad84-181b-4c74-80ec-93b2f883fee4 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:39.672483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.190810Z digest=sha256:dfa08b60da6218c5b229e47d307c7ba28f396dd3350167ef5adeaf4e12fcb183

Observation b5d35a5c-1fc3-4a5f-9f75-b65583431cb3 · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 72

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no resolver link, observed 2026-08-10T21:18:38.240491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.240491Z digest=sha256:60ab545470f9323916bcfa0a0244027a8875815fd171c1cbdde9e095644b051a

Observation 6167c41a-48b1-4251-b2e5-c3e88c84097e · outbound

This paper cites A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming

Reference 73

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unresolved
no resolver link, observed 2026-08-10T21:18:38.322026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.322026Z digest=sha256:2c92b67a72272eba0e51bf6a99ba37e8df334b05546f1ae0cd274a3b8aa1a058

Observation 6e0924ce-5a38-449b-b381-e8fec67474d0 · outbound

This paper cites PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:38.328637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:38.328637Z digest=sha256:4b872a79de13d42c1d328763b8ec9f72f1c5642183710da485b9b57aa41574e5

Observation d07f5ac6-e4b0-47ca-94c3-d5f1e878431d · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:39.652888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.334359Z digest=sha256:1b25d6e64dad70ed71b3cf06456d60245f30be82322a985585576a434747e187

Observation c64fb8e8-fbc8-4f7a-af9c-74f0f9d1413a · outbound

This paper cites - **Watermark Discriminator 2 (WD2)**: After the extrac- tion, this model assesses whether the relationship (R1) is still clearly and accurately implied.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models - **Watermark Discriminator 2 (WD2)**: After the extrac- tion, this model assesses whether the relationship (R1) is still clearly and accurately implied

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:18:39.615382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.339142Z digest=sha256:fd68aa4c1e63d3e23b9227072d54c28b752b7475ff8fda1bf9b28a66df39a7e8

Observation 1a6607a7-7eac-4a21-974b-27321a06f10a · outbound

This paper cites watermark_text.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models watermark_text

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:18:39.482615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.350209Z digest=sha256:157ed0a1aa1cba4e69696bfc5a89e32f845a81169ad5e7d84fc499947ff3488d

Observation 38206460-ab2b-4626-bac9-f3a0159fbf7b · outbound

This paper cites an unresolved cited work.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:39.458578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.362006Z digest=sha256:41a7834688d6737f6ed72d5a7eac8deb75a29fa8d0ac15d80211ab6069ee567d

Observation d7c6f435-29a2-469c-ad02-4c120f48c480 · outbound

This paper cites llm_text.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models llm_text

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:18:39.436961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:38.462647Z digest=sha256:7630dc4efa96a8284406361a3bd0a6469f09d76ecdbdbd158fcc8f552cc98bed

Observation f3e5cb67-bee9-47b0-a7d3-e4f46a7787a7 · outbound

This paper cites In 27th USENIX security symposium (USENIX Security 18).

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models In 27th USENIX security symposium (USENIX Security 18)

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:18:41.120501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:18:36.551216Z digest=sha256:6e77d88c045d1eaa1344c87ba849db1b2aea743ddcf8fa6be187fcc4507ae368

Observation b7c5c0d1-b3b5-46ed-bbd1-2916a3886efd · outbound

This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.826755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.826755Z digest=sha256:b2ea922a675608f5347824df0e127732a3fbf62311546d4a1c79e99f89258238

Observation ffbe9122-0647-4573-b3be-356d5b758152 · outbound

This paper cites On the Reliability of Watermarks for Large Language Models.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models On the Reliability of Watermarks for Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.332897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.332897Z digest=sha256:c97610b801a3f012cc4d4ca06f2133cbda457135990aba10e83e362bb2b3d0c2

Pith citing papers

Observation 1c14d5b1-32a2-4d6c-b292-3f96bfd1ea47 · inbound

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

Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:34:27.271361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:34:25.528216Z digest=sha256:cfd0e36a731f2bcee958f9a3a22f61de6f9d8ed6986e361ae224793ac72132bc

Observation 8e7815ed-e877-420c-b0da-ff5ddbaa7741 · inbound

Distributed Retrieval-Augmented Generation cites this paper.

Distributed Retrieval-Augmented Generation RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:38.701473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:38.701473Z digest=sha256:ec6f2818a017ece987899c2c0f7239bc80a76cf4b4339d0f9dc38756248c6181