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Paper Citation Record · LEDGER

Ensemble Watermarks for Large Language Models

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2411.19563.

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

pith.paper-citation-record.v1
2411.19563 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:09:20.885967Z

measured 44 of 44 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy19
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f05f588a-c647-49e4-8fa1-907d6aae78e1 · outbound

This paper cites Attention Is All You Need.

Ensemble Watermarks for Large Language Models Attention Is All You Need

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.760649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.760649Z digest=sha256:2b8ef195f07bef10ff194d627899c5bf0b3644f2064cc14ed33f6d6bd8faf77d

Observation 125a0bb2-b3a0-4e70-bdd0-27f3ab095ef4 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Ensemble Watermarks for Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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unresolved
no resolver link, observed 2026-08-12T10:09:20.763981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.763981Z digest=sha256:a01fb45e5a9071706428e742db391b89c1cd4a266b3673a35e698eaa52dc58df

Observation 3efc785d-96a5-4590-b361-8e67915780ef · outbound

This paper cites Luan, Dario Amodei, and Ilya Sutskever.

Ensemble Watermarks for Large Language Models Luan, Dario Amodei, and Ilya Sutskever

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.322649Z

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 d075b8d5-0179-4305-b486-9abb1f853573 · outbound

This paper cites Defending Against Neural Fake News.

Ensemble Watermarks for Large Language Models Defending Against Neural Fake News

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.315862Z

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=arxiv_source observed=2026-08-12T10:09:20.770356Z digest=sha256:fad0efa2540f995ba58b124f909258f83b5dea64acf32ad722c017fd51ed9bfa

Observation dad43b42-63fa-4260-80d3-2a3de2dab447 · outbound

This paper cites TweepFake: about Detecting Deepfake Tweets.

Ensemble Watermarks for Large Language Models TweepFake: about Detecting Deepfake Tweets

Reference 5

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unresolved
no resolver link, observed 2026-08-12T10:09:20.772921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.772921Z digest=sha256:6f850b870619669a2422b5bd68cc1ed2bba657d792a31e929e9ece80fff7300b

Observation ba218ea4-292b-44d1-9cc8-ea7dc7bbedf9 · outbound

This paper cites Scaling Laws for Neural Language Models.

Ensemble Watermarks for Large Language Models Scaling Laws for Neural Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.775922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.775922Z digest=sha256:3d6b698850e1cb71981e357c33484d02577ab51893615b40997623f8ce4fdd99

Observation 51ac73ed-66da-46b9-b386-b1a2d39dc378 · outbound

This paper cites ChatGPT : A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope.

Ensemble Watermarks for Large Language Models ChatGPT : A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

Reference 7

Resolution
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no resolver link, observed 2026-08-12T10:09:20.779565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.779565Z digest=sha256:f291755a8e019c15b4bfc1b1bdec9f90b5c9ba479e7ca0177d82d96e508b9fd3

Observation 502760f5-db85-4711-88a6-cdde5798ba7c · outbound

This paper cites A Watermark for Large Language Models.

Ensemble Watermarks for Large Language Models A Watermark for Large Language Models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.308730Z

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=arxiv_source observed=2026-08-12T10:09:20.782883Z digest=sha256:a9c63b1475bce63bfab1b508c5968cd18b679a111486777e65638e0ad16133b7

Observation 8d029087-4972-4856-a6a8-fdceff0f2b7c · outbound

This paper cites Surveying Stylometry Techniques and Applications.

Ensemble Watermarks for Large Language Models Surveying Stylometry Techniques and Applications

Reference 9

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unresolved
no resolver link, observed 2026-08-12T10:09:20.785831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.785831Z digest=sha256:a653c9e194157a1a90af0fd36d8bbd0aac060295315b89818c8e6ffdcecb62f8

Observation be80fd15-5bfa-4863-97ef-1bab99a2cd09 · outbound

This paper cites A survey of modern authorship attribution methods.

Ensemble Watermarks for Large Language Models A survey of modern authorship attribution methods

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.301987Z

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=arxiv_source observed=2026-08-12T10:09:20.789123Z digest=sha256:9f7dbf9fd559da41750964c17f23fee88c9bbd2c6f536ac14fb6c0b1da0f4d82

Observation 634643eb-a416-4d74-b42e-0d5b7c23fe5e · outbound

This paper cites Authorship Attribution for Neural Text Generation.

Ensemble Watermarks for Large Language Models Authorship Attribution for Neural Text Generation

Reference 11

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unresolved
no resolver link, observed 2026-08-12T10:09:20.791549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.791549Z digest=sha256:ddbb833739c82d69163b2f2cf692a26058742ba675f653ebe960f1a0aa894a2a

Observation c46fe252-7cbf-404c-89d6-2c627fae8774 · outbound

This paper cites The Lancaster Sensorimotor Norms : multidimensional measures of perceptual and action strength for 40,000 English words.

Ensemble Watermarks for Large Language Models The Lancaster Sensorimotor Norms : multidimensional measures of perceptual and action strength for 40,000 English words

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.794649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.794649Z digest=sha256:fc8334cba6dfc92519b93bf1888bedae5ce58fff14ea327685e823fa600aea84

Observation b37082f9-2bdf-413e-b4d1-70a3d5541ae5 · outbound

This paper cites boethius.

Ensemble Watermarks for Large Language Models boethius

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.294171Z

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=arxiv_source observed=2026-08-12T10:09:20.797761Z digest=sha256:2832d6e81ca1de3d493da7a00adb2c0418e5ad29142021986a9b06f5ca9dd7f0

Observation 91db57f6-7d34-4cd3-b4c5-2f4c8fc89336 · outbound

This paper cites Stylometric Watermarks for Large Language Models.

Ensemble Watermarks for Large Language Models Stylometric Watermarks for Large Language Models

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:09:21.147623Z

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=arxiv_source observed=2026-08-12T10:09:20.800086Z digest=sha256:14ea012b4827e52577bb034e64b6b28c129bb177d2cfd69fb2f7fede379f58f1

Observation df070171-f9db-4957-baad-4a5f762f5c87 · outbound

This paper cites New AI classifier for indicating AI -written text, January 2023.

Ensemble Watermarks for Large Language Models New AI classifier for indicating AI -written text, January 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.285803Z

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=arxiv_source observed=2026-08-12T10:09:20.802676Z digest=sha256:ac5b83b15d26f46103919ac3d507b620a36f54de4d40a0dab20bf87747d5ce06

Observation 9e726859-be46-4a52-a97c-22a08ad21805 · outbound

This paper cites GPTZero The Trusted AI Detector for ChatGPT , GPT -4, & More , 2023.

Ensemble Watermarks for Large Language Models GPTZero The Trusted AI Detector for ChatGPT , GPT -4, & More , 2023

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.277445Z

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=arxiv_source observed=2026-08-12T10:09:20.805023Z digest=sha256:1cbe15656f9f5af855ee50a41351adfed224467383517c78f449a666e0bd3dd8

Observation 379717d7-fe9c-44ac-bfb7-eaa8b6aad96e · outbound

This paper cites Manning, and Chelsea Finn.

Ensemble Watermarks for Large Language Models Manning, and Chelsea Finn

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.269354Z

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=arxiv_source observed=2026-08-12T10:09:20.807178Z digest=sha256:a446d2e8b617658e4fb4d4ba0a88e8feeab7316a69c64c9ebcf836a49937b63f

Observation f1c32c86-2bc2-4269-a6f9-135ef3937f4e · outbound

This paper cites Automatic Detection of Machine Generated Text: A Critical Survey.

Ensemble Watermarks for Large Language Models Automatic Detection of Machine Generated Text: A Critical Survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.809761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7bfc1389-7dc9-4ab6-ba6a-efc08af276a0 · outbound

This paper cites On the Possibilities of AI-Generated Text Detection.

Ensemble Watermarks for Large Language Models On the Possibilities of AI-Generated Text Detection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.812363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.812363Z digest=sha256:4aeac344890fc3cd63e56cbab0ddbc602194b11fc4b8da278e2d186754196338

Observation d0364df8-0ade-4b6d-a3df-d70077661a77 · outbound

This paper cites Undetectable Watermarks for Language Models , 2023.

Ensemble Watermarks for Large Language Models Undetectable Watermarks for Language Models , 2023

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.262510Z

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 0886f62c-329c-4fc2-82dd-377c53529ece · outbound

This paper cites My AI Safety Lecture for UT Effective Altruism , November 2022.

Ensemble Watermarks for Large Language Models My AI Safety Lecture for UT Effective Altruism , November 2022

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.254042Z

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=arxiv_source observed=2026-08-12T10:09:20.818832Z digest=sha256:a070845f651f29e6fbb51b2dc4df525513d1d1a30a88409fe9f9757917aa10b5

Observation c9054ab0-e1ce-401a-a957-305bd2b1f69f · outbound

This paper cites Watermarking of Large Language Models , August 2023.

Ensemble Watermarks for Large Language Models Watermarking of Large Language Models , August 2023

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.245207Z

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=arxiv_source observed=2026-08-12T10:09:20.821316Z digest=sha256:8163f4bec4aae491ec27e11cad24248a1ba7363ee49a2d8fcba596dc0f298650

Observation 51182f20-2e39-448a-943d-8c12df8988a7 · outbound

This paper cites A reversible natural language watermarking for sensitive information protection.

Ensemble Watermarks for Large Language Models A reversible natural language watermarking for sensitive information protection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.237413Z

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 0ae645e2-6108-46f1-b23f-8d5278f82038 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Ensemble Watermarks for Large Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.826853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.826853Z digest=sha256:d07b0c53e706b6bb92acee58ab105c9a80e478ed0e251ed4d206dfa638b70a37

Observation da60acc5-a4c6-4b80-9b44-263abe07bb94 · outbound

This paper cites Provable Robust Watermarking for AI-Generated Text.

Ensemble Watermarks for Large Language Models Provable Robust Watermarking for AI-Generated Text

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.829718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.829718Z digest=sha256:e90c001bbae9db4f859cf125acfd4c6ee650564f7891a515229c2d4b8f9beac2

Observation 38abe747-e219-4c14-a9e8-1ff6c613ce0e · outbound

This paper cites Robust Distortion-free Watermarks for Language Models.

Ensemble Watermarks for Large Language Models Robust Distortion-free Watermarks for Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.832429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8d834f05-872f-4fdc-949d-d8292f5fd1ac · outbound

This paper cites Duwak: Dual Watermarks in Large Language Models.

Ensemble Watermarks for Large Language Models Duwak: Dual Watermarks in Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.835300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.835300Z digest=sha256:71551d858111af127782783637563db5e2b450375abaf2e073f75e130c09fff1

Observation 0f435d36-cda1-4c3a-9be0-34327ecd0dc9 · outbound

This paper cites an unresolved cited work.

Ensemble Watermarks for Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.838482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b6983b2e-9be9-4fdc-b523-55a8cd61555f · outbound

This paper cites A Survey of Modern Authorship Attribution Methods.

Ensemble Watermarks for Large Language Models A Survey of Modern Authorship Attribution Methods

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.840861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.840861Z digest=sha256:28596d88bbec3ae2dc0ae0a461c4ffd16719e0857a6b8ecccdfc10bd66bdbf26

Observation 991cd738-ec2b-4923-98cf-40911aa0fe65 · outbound

This paper cites Sensory linguistics.

Ensemble Watermarks for Large Language Models Sensory linguistics

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.229916Z

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 bc46dd90-892d-4ee0-9edc-30066e00f4df · outbound

This paper cites Smells like teen spirit: An exploration of sensorial style in literary genres.

Ensemble Watermarks for Large Language Models Smells like teen spirit: An exploration of sensorial style in literary genres

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.222385Z

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=arxiv_source observed=2026-08-12T10:09:20.845893Z digest=sha256:00b3f2e2d0638e419f5a024be81c6af8f5a6baf42d60fb927409b7b2599daecb

Observation 29f78934-7fbc-4403-92c3-83abccbd44cd · outbound

This paper cites Cross-language authorship attribution.

Ensemble Watermarks for Large Language Models Cross-language authorship attribution

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.214152Z

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=arxiv_source observed=2026-08-12T10:09:20.849100Z digest=sha256:aa215c71acf99dfddb8844f5354a6fe10ba4d855cb68559746bdbf98b9ea717c

Observation a4dd5194-caba-487f-8c0f-65e87dc85da4 · outbound

This paper cites Generating acrostics via paraphrasing and heuristic search.

Ensemble Watermarks for Large Language Models Generating acrostics via paraphrasing and heuristic search

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.206107Z

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=arxiv_source observed=2026-08-12T10:09:20.852196Z digest=sha256:fb296535e8c3dde19a2b97c620c62c76137e47319976275d5915598ad7c6cab0

Observation 22974185-08d6-4745-8cd3-77608ef37ff6 · outbound

This paper cites Controlling sequence-to-sequence models-a demonstration on neural-based acrostic generator.

Ensemble Watermarks for Large Language Models Controlling sequence-to-sequence models-a demonstration on neural-based acrostic generator

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.198839Z

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=arxiv_source observed=2026-08-12T10:09:20.854738Z digest=sha256:a80b9ccd82dadac8c4d06f1d50459b6669d67eda83c917ef031bc8fbef749ce2

Observation dc0f3302-c61c-4bf6-8201-d3f1ec72bac4 · outbound

This paper cites Alisa: Acrostic linguistic steganography based on bert and gibbs sampling.

Ensemble Watermarks for Large Language Models Alisa: Acrostic linguistic steganography based on bert and gibbs sampling

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.190140Z

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=arxiv_source observed=2026-08-12T10:09:20.858122Z digest=sha256:2cf8c90d27c7146e953167b001213e9b6faf5fcef3cae44c362f0f11b8ae969d

Observation 4f610c61-f8d8-477b-b390-17ade1385175 · outbound

This paper cites Teach LLMs to Personalize -- An Approach inspired by Writing Education.

Ensemble Watermarks for Large Language Models Teach LLMs to Personalize -- An Approach inspired by Writing Education

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.861725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.861725Z digest=sha256:2c5d0c83ee518aafe8bf60f05cfbedf2d4ed72ac18529837e69130b6827c7cfe

Observation f8ddd0b4-6fdd-45a6-930e-ad394f3f3614 · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

Ensemble Watermarks for Large Language Models Large Language Models Are Human-Level Prompt Engineers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.865195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.865195Z digest=sha256:dd1a3239bbc720b70fdc99af60a4137eafff09215f0bf5838762cb6b4bfbf201

Observation a25ef4f2-4246-48cc-b113-c3e017592dec · outbound

This paper cites Ethereal poem in e, 2024.

Ensemble Watermarks for Large Language Models Ethereal poem in e, 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:09:21.181670Z

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=arxiv_source observed=2026-08-12T10:09:20.867900Z digest=sha256:7d378a3f2a09dc147bdd1b0bdf32237381c2f585fcdc4b64ddc14a789fab0b83

Observation 30302cfc-ded5-42d2-98f5-f848c9dfd5be · outbound

This paper cites Taskiran, and Edward J.

Ensemble Watermarks for Large Language Models Taskiran, and Edward J

Reference 39

Resolution
verified exact
doi, observed 2026-08-12T10:09:20.911380Z

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=arxiv_source observed=2026-08-12T10:09:20.871139Z digest=sha256:64706fe2f140fab0c5bd34faeb817c742e3d1f2c567631dce203b14b17db7c54

Observation 17114b7e-1e3e-452f-a597-3f2d960a83e6 · outbound

This paper cites Atallah, Victor Raskin, Michael Crogan, Christian Hempelmann, Florian Kerschbaum, Dina Mohamed, and Sanket Naik.

Ensemble Watermarks for Large Language Models Atallah, Victor Raskin, Michael Crogan, Christian Hempelmann, Florian Kerschbaum, Dina Mohamed, and Sanket Naik

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.874140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.874140Z digest=sha256:5243a201872d9a05edeed1bac6f776400cba7524bc104c426c1a95d9dda83528

Observation 966f35ce-dce4-4611-b655-7dd00a315bd5 · outbound

This paper cites The Llama 3 Herd of Models.

Ensemble Watermarks for Large Language Models The Llama 3 Herd of Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.876629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.876629Z digest=sha256:aa1a7fdd67669f8802233feebdbc15d3f48ea75e39bce131b33def218262b0ba

Observation ba1bd5e2-dc00-4ab3-b418-8e219bfc11e1 · outbound

This paper cites Mistral 7B.

Ensemble Watermarks for Large Language Models Mistral 7B

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.880014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.880014Z digest=sha256:989e27bae14c28c0f4c639cebd5c680b39ee90d1ec53dfa55721330ad865d7f6

Observation 28e78876-2425-43e0-b2e3-571d1abec9f3 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Ensemble Watermarks for Large Language Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.882826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.882826Z digest=sha256:b8e7feec583b37406ad8e9db33807fd3becf0704a74abbb6d165e4527cb69b5a

Observation 5748e037-5a50-46e7-9e05-e98bfe611728 · outbound

This paper cites an unresolved cited work.

Ensemble Watermarks for Large Language Models Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:20.885967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:09:20.885967Z digest=sha256:1c54f68f98e4e95f06c22a636b8934e2fdd9b363f22e4284f2f31c3e31a0f02f

Pith citing papers

No inbound Pith citation observations are available.