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Paper Citation Record · LEDGER

Ensemble Watermarks for Large Language Models

As of 14 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 2026-08-14T06:32:32.682623+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:da9d1cc319bdb2c64a776741c0a52d8e54401479d4d412189b6a254fe4f34681

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

Resolution
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=sha256:7285f3646c6af612ad009172aa366f72e066c497c1111814b1bdc3510c6ebd2c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.766946Z digest=sha256:d1049b071684f84900d9c8fb99fc5e9e7398873f78a7a9bc2e12aecf4634b985

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.770356Z digest=sha256:d7d514c9f0bd0bc5dcd3bd5edcbe1169ea36224a3932c36871f31d8f19d243bd

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

Resolution
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:f250f8d4de7eb677a3540c723a9874a18b9503e7cc34550f90b091aa8d69ad25

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=sha256:1d1c035824b29cefd18a4e72515609be4ce7701d4d8b5ad9b01cc4b8faf3ec9d

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
unresolved
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=sha256:1c04a7739a42021a7870291f923e23088b5eed2a1236e4c46240a7b33109da9b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.782883Z digest=sha256:924e087130ce652c62f2c75cb5398568c9b1f6b016b99c7b9884beb9c37d562b

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

Resolution
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=sha256:80ece3062a2a836f1a8335bf68b3d41010cd46fd3970cec76bfffb3a9e098ef3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.789123Z digest=sha256:d704df86b8bf3fb0331aa2c31e23172f1d4d88ca24e4544900a17adc0d971d86

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

Resolution
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:c6732a533bef365b38457011c57d913481f9fd5b832f309a6358960a9fff24a7

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:c6eae794cc78a673d553f3a0dddb7b62df212cbcaf9ee6b13a7586c6401fd88c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.797761Z digest=sha256:30280b28a66b0142ecf03ddab318bf05dff69a3f4727e80fcdb7deaba1e37bfc

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.800086Z digest=sha256:10261d63cd57db6386ae9cb2f3e48304ae37511dfd3405218864d6f410989fd3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.802676Z digest=sha256:b804bf3a4e9261cc66a39f660548710b8fc335fbe070df3acd351255aa5b9aeb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.805023Z digest=sha256:e95254336ef42d2edaf8af5f2b6480123fa5b48e1698bd23b1bef09ab684bd61

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.807178Z digest=sha256:8c413f5b4dfb6b7b86b2c2c354e8a4d7357254800d89c39c0854e7c97326ebb1

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.

source=arxiv_source observed=2026-08-12T10:09:20.809761Z digest=sha256:47cddf3df73ca8c7935401b974cd6868361ad78f5e3ba964049f00181575cf90

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=sha256:2cc12c6e34e5679e475a43f71919a25aec6d3265230a5a0892b676d816e95d1f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.816174Z digest=sha256:8a24a887dde35a31986781f5deb11a3f0f990f5ca7ed7c6b7d58b7e7fd17fa71

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.818832Z digest=sha256:f6e338aa78cd4011cae398e534c7df719dfd68278c6f4ad2429ae692ba72c618

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.821316Z digest=sha256:54568da4a390d423115067d5494454872613770f130d4fa3a9b93a57bd5fdd20

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.823704Z digest=sha256:211fbcd7ec88e551124185d352b96613028d895ee82b899c4b1ff9d70aca4382

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=sha256:0b010604a1c3a3e010ff09b06cf71fc259c54401447041c9957b09905b44b8d4

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=sha256:0d0ae86035b565cabca312ef601fb1a1de8c56ab37923f052514a44b89a1cc6f

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.

source=arxiv_source observed=2026-08-12T10:09:20.832429Z digest=sha256:b27fe7a38a70dff792309d0f4251c29951dfa024a5d17dacb9932876b9cd55c8

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:baf63de91dd7ca200340bf254b4dc5a68dd6d64b74f4bd677b219ec2b33f8aae

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.

source=arxiv_source observed=2026-08-12T10:09:20.838482Z digest=sha256:9adeafb74757626716fbf97c30a0171f615e21b18812b1599dc622483dcd6ce2

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:c84936d8a170b93b6ea23f4815d1a49607b2d61da0969a7532bd72a28c47b81f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.843312Z digest=sha256:8b954a7a3dad06b05538ce686584c6a3c5313978858c40621c7298aa8d422281

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.845893Z digest=sha256:2b1b6d1224df1b9dda7bac1907d8e7525ce43a3d065cabc86e5052d94bc72e0c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.849100Z digest=sha256:11a8e8ee6a453cf34353889ffc0be751990e66c9e8d1ee9e033277d380833520

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.852196Z digest=sha256:2c04c7e23493a7569283b73188f4658eb9594934b8a091a801b281a3d51d1bd9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.854738Z digest=sha256:9ae9a6bb786b4b75120e00d26c29c618cc8d0572a5d08966a4fd1443b490697c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.858122Z digest=sha256:e10d3e4ef8ca8736b7888e179647c359d85f5665b744add4dd75284a5cf523ad

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=sha256:466266840dcb01bef0da7892383853502b6f58f830d8bbb1deced0a44009a3ca

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=sha256:65f28b315ceeaa6402a6535d87e2c30a55350fb777752be99b0e0b90b69d7385

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.867900Z digest=sha256:5629b0aa0c30a914c36ba1140681c99bb7d8a18346facc62b39edc5f3b4b8934

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T10:09:20.871139Z digest=sha256:6f7589ea7531a38763e02030b71d2db577e40f5a2c0b0b38eab6c4b8f3cebec7

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=sha256:8658f3bebc1b345bafb88c3c46d89e7e066618ca595d928c25dc3e68136b1020

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=sha256:0e8fb5903b96a5ccf91e9d3e79b80043a7299c8557a350645713bd08dfb85823

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=sha256:41b368d746e43e12951a89fe34dc525ec5df7de134d5bc76b433264945461721

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:d00824d31057c1cf1a276d1d868ac4bb6a92591810fea55073367a58763bc146

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=sha256:9d616108781ce668d02ff449579b7a61f3d649db418e496abfcdaee546e036e8

Pith citing papers

No inbound Pith citation observations are available.