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Paper Citation Record · LEDGER

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack

As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2506.01011.

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

pith.paper-citation-record.v1
2506.01011 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:57:39.343912Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:32:57.175350Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:56:25.776630Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9bbc2779-217f-4d50-9ee7-2b96a92f1f79 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:34.452682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:34.452682Z digest=sha256:06b201e261e4e20ebc1a9a304b4f0bb6256179417882ba1609ef96315dda37e7

Observation 0462fb7d-c88a-4215-a9fb-5a35df1bd59c · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Scaling rectified flow transformers for high-resolution image synthesis

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:34.537475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:34.537475Z digest=sha256:eec0a238ea3041991ef81895b7cb1e5ff40e64d4402498ab730c9075914e7550

Observation 6881ce18-87dd-43bd-9c5d-e01829dc6ac8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack High-resolution image synthesis with latent diffusion models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:34.618250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:34.618250Z digest=sha256:6c2c1f69fd61cbddc734ee9341c2bca45dcfede0019bfa5ca1bd5bc38f6941a1

Observation 9eab1869-3914-48d4-b212-bde01c5df6ab · outbound

This paper cites Ssr-encoder: Encoding selective subject representation for subject-driven generation.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Ssr-encoder: Encoding selective subject representation for subject-driven generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:34.679563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:34.679563Z digest=sha256:edcc08efb84f20b67886e0238e72d00f5fd97ba7bdec8b9398700319211b7ac5

Observation 8eac28c9-c9d2-418d-9503-c064bcc661be · outbound

This paper cites Fast personalized text to image synthesis with attention injection.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Fast personalized text to image synthesis with attention injection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:43.568594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:34.748227Z digest=sha256:e61328e57951c2ef32c55c6b3b19f4c7d8ef1bc8f5e8f1f6bce7c51838efcff0

Observation 162551a1-1745-46b7-af6f-81cb3e16484e · outbound

This paper cites EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:34.845289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:34.845289Z digest=sha256:04c94c2f8199cc86c8fef84a394d2386df7adc21d014cb1fa21d7440fde873fd

Observation b43bbdec-3581-4d0c-8596-77049de8db87 · outbound

This paper cites EditWorld: Simulating World Dynamics for Instruction-Following Image Editing.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack EditWorld: Simulating World Dynamics for Instruction-Following Image Editing

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:34.927336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:34.927336Z digest=sha256:30abf9cef8f30bcdb7232b1edfa698b717a1004838116761eaf7cd4efb183836

Observation 2cd8b27a-bf7a-4077-b440-3d4b958aa3c3 · outbound

This paper cites PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.019999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.019999Z digest=sha256:e4e732c52d5f9b1d766d81a93e624e543244fe9122d957c369f8583558b001e1

Observation 7c5310f9-4ff6-48b5-8655-83074428e59f · outbound

This paper cites SeedEdit: Align Image Re-Generation to Image Editing.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack SeedEdit: Align Image Re-Generation to Image Editing

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.102040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.102040Z digest=sha256:7e692b7b8fd58bf82ef783005de1f94cee2f0ea200b04c7b429d9fe163342d35

Observation b23b81d1-1e1a-41af-8659-4425b4f05eb7 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Imagic: Text-based real image editing with diffusion models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.150086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.150086Z digest=sha256:929b6f1ca9a47282ad0f4c994b39b279202029c8e82ff165f94327221d62fb0a

Observation 7b95466d-ddd4-44c0-9d23-aefba0c7b89c · outbound

This paper cites Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.234819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.234819Z digest=sha256:4d05b1fa4c45308731139ee70252ea7607c8427e22f023d2b3ea8e35acf4c9cd

Observation 0851967d-6472-4719-a09c-877250941473 · outbound

This paper cites Stable-hair: Real-world hair transfer via diffusion model.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Stable-hair: Real-world hair transfer via diffusion model

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:43.394997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:35.331067Z digest=sha256:00857b4fd1b3c9c73c95b513a6b455c9c89f3affca56c2c04c6ee5925523a2e1

Observation 70259fb0-82cb-4e8e-b76f-5f14fdf671f5 · outbound

This paper cites Show-1: Marrying pixel and latent diffusion models for text-to-video generation.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Show-1: Marrying pixel and latent diffusion models for text-to-video generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.421101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.421101Z digest=sha256:213187847dfe44429e835865bb859244883d42cb6b1c926d72f6f71a4a5e5839

Observation 5bdbdaad-4883-4a05-a982-36cedb85592c · outbound

This paper cites MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.512200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.512200Z digest=sha256:39cfb97544106390a429a82c7ccf4070348a14e873c26aa648d577e5f0076324

Observation 09d2f544-929c-4b80-ae27-1b1249b7b400 · outbound

This paper cites ProcessPainter: Learn Painting Process from Sequence Data.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack ProcessPainter: Learn Painting Process from Sequence Data

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.579498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.579498Z digest=sha256:e2bdcc3e8acad103a0b9c2c211c8835850baef4de50559cd09bad99a3d5bde2d

Observation 16afdf77-f15c-42d0-bf9f-b4808d2a1b36 · outbound

This paper cites Grid: Omni Visual Generation.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Grid: Omni Visual Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.670149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.670149Z digest=sha256:1b981fdb1d5c93460c8649f5477e3fe267a02dfb4902057f2ef5ba48049939cf

Observation d7851ccd-3174-4dc7-8927-4ab70cb9f3a6 · outbound

This paper cites an unresolved cited work.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.728697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.728697Z digest=sha256:23fe939b7a537a26e91355dcb2b7b3df5b1ebb56298415b9b562dd60af30779c

Observation 725ee7b4-9d83-425f-aaf3-f08902028421 · outbound

This paper cites Improving image generation with better captions.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Improving image generation with better captions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.809868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.809868Z digest=sha256:dfa957c3637fbdaa6bae1f1702f54ed15dad808d8b42f96b25d0521c4ae03abe

Observation b4e086fe-4cf7-4f2f-b650-74d32861db20 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.858271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.858271Z digest=sha256:161070a804833dfefbe7832cb4978363cbe1badb3eabba6a48f85106e93ab45a

Observation e56741b8-9c2a-49fb-ad97-cef5b1b34eca · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:35.936807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:35.936807Z digest=sha256:de0b69d9db93c74fb7e255284c49d80a399701a9ddedc530464af7c7dcd521bd

Observation f97c7565-fe93-4adc-b573-c63bf35c6cf5 · outbound

This paper cites Randomized Autoregressive Visual Generation.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Randomized Autoregressive Visual Generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:36.036146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:36.036146Z digest=sha256:2fce6f4d2c2cf098962c473f31622b86d0c6d2089ffee3ce60ea4c7cdf4e0484

Observation da4e0f8d-9667-4912-ab27-1aa50c98fdb6 · outbound

This paper cites Show-o: One single transformer to unify multimodal understanding and generation, 2024.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Show-o: One single transformer to unify multimodal understanding and generation, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:43.189478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:36.118287Z digest=sha256:991e006ca978de45105a8a8b5cd4840c737cefcc84a7b684218e3854c527a7d6

Observation 671b8cc6-24ea-48e8-b9ba-99ff66c06ddc · outbound

This paper cites Transfusion: Predict the next token and diffuse images with one multi-modal model, 2024.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Transfusion: Predict the next token and diffuse images with one multi-modal model, 2024

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:43.028222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:36.235846Z digest=sha256:b187b8219dec5f6b35b4c5062bad339887af82bd4a39f02a6185c3aec64051c8

Observation d2bb00bf-a6f8-48b5-868f-7c44adf49ed6 · outbound

This paper cites Maklachur Rahman.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Maklachur Rahman

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:42.842179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:36.334972Z digest=sha256:6613057c65754ddbe7d3ff735f5fd4c415b6faa4c4ba0e43fce17f892cc13df5

Observation add27fd0-ca9d-41d7-a46b-822b8d6f6083 · outbound

This paper cites Robust invisible video watermarking with attention, 2019.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Robust invisible video watermarking with attention, 2019

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:42.669463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:36.418237Z digest=sha256:28aca09d9d2d40d189379bf0317bcc8efc0d3293fc97dd2c71979fe3c09d9025

Observation 20dd464c-a9ce-4916-9d83-ad0ed929f2ca · outbound

This paper cites Watermarking images in self-supervised latent spaces.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Watermarking images in self-supervised latent spaces

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:42.515389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:36.503477Z digest=sha256:c6512b2cae8a0413a43f04c867b67afd893a21baad152960506883e7f7e34f50

Observation b2e4eacd-66d7-498c-956c-deb049621aeb · outbound

This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:36.589348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:36.589348Z digest=sha256:010fc0bc2ed51df0f0e92e61bb20c3784d68e599dcf1f326591c1310de8ee448

Observation 08f1b598-73b7-437b-b58c-3cfa7a09d057 · outbound

This paper cites Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:36.635771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:36.635771Z digest=sha256:b425ee6ecd41c651e2b757f57229d0a0d1f1593b8158af50be34213a848080ec

Observation 026034a9-9a6a-4155-a9f8-4c60c783e9d2 · outbound

This paper cites Robin: Robust and invisible watermarks for diffusion models with adversarial optimization, 2024.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Robin: Robust and invisible watermarks for diffusion models with adversarial optimization, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:42.288551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:36.737032Z digest=sha256:cf9c9bca17f30158c9f4d27178f50bfdc24ea9733cff4373129805202eb8ec0f

Observation 8f842e05-0252-40a9-89ff-921ce1d493a5 · outbound

This paper cites Diffusion models for adversarial purification, 2022.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Diffusion models for adversarial purification, 2022

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:36.816020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:36.816020Z digest=sha256:0db524f4b91c5a5516ed56517390f2bd5de1c72758dabe9e4e61aeada01aaabd

Observation fb869e65-55a8-437e-bf98-7cdd20d81e47 · outbound

This paper cites Image watermarks are removable using controllable regeneration from clean noise, 2024.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Image watermarks are removable using controllable regeneration from clean noise, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:42.068461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:36.900865Z digest=sha256:c041317ccd335c32853448f20ebce32a6588da36029d10cee04144973dd28fc5

Observation 0e24ac08-92e0-4a2e-a4e0-c9971e635a9a · outbound

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

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack On the Reliability of Watermarks for Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:36.968179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:36.968179Z digest=sha256:cfc17e51c27a1a79b451b8fd74268541615f4dcfcce0c6dc0b95a4237f0cb1a5

Observation 23fec901-a1bf-478c-b97d-7a1ec224701c · outbound

This paper cites Unbiased Watermark for Large Language Models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Unbiased Watermark for Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:37.053824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:37.053824Z digest=sha256:170f4dc9280ee00200c04075a5fc20cd041913c5730f7aa9e68431cc168d63fe

Observation cf9cc561-a44f-4d66-9ef7-e2f135843395 · outbound

This paper cites Freeman, and Yu-Xiong Wang.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Freeman, and Yu-Xiong Wang

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:41.889556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:37.174832Z digest=sha256:0b9579c1bea94ad3c59d2a9613adc722485d6616ea019c55ab03184956494c9a

Observation f563a951-8906-44fd-b457-cd3af7ff6d25 · outbound

This paper cites Wolfgang and E.J.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Wolfgang and E.J

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:41.722108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:37.248221Z digest=sha256:371956706ad883969210cf9d750427f35e633d622a57d61417920acd801c04d6

Observation 8f77c38d-e9ca-4ff9-b7cf-914ce9fd795e · outbound

This paper cites an unresolved cited work.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:57:41.539479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:37.296991Z digest=sha256:438af736001a08b435ca3e6e38e74b14e4bae517c22ecde1ad9f9799a982454e

Observation 453f06e9-5bdc-4638-a494-273d181c076c · outbound

This paper cites Watermarking images in self-supervised latent spaces, 2022.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Watermarking images in self-supervised latent spaces, 2022

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:41.353997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:37.400941Z digest=sha256:57049aad51907c02c224ac6d6ddb7c42de14248008b3fbe54d7bd21edba48ea0

Observation ac332ea5-caa2-4d8e-bc07-613b1906ae24 · outbound

This paper cites Stegastamp: Invisible hyperlinks in physical photographs.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Stegastamp: Invisible hyperlinks in physical photographs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:41.163159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:37.469905Z digest=sha256:1083e3b2cf9deb34dc84634fe2f951a64764a233c99eb5900dcfff7644e76964

Observation 8fbba710-92ea-4c41-bba2-916b6e010a20 · outbound

This paper cites The stable signature: Rooting watermarks in latent diffusion models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack The stable signature: Rooting watermarks in latent diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:40.980013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:37.531739Z digest=sha256:c21477beb8ba88b03c68f85cd280bb94479ee317a2c17efe2cc19b93d5395d19

Observation 5bf5ded6-559a-416b-b8f6-b248b59f4c5b · outbound

This paper cites Wmadapter: Adding watermark control to latent diffusion models, 2024.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Wmadapter: Adding watermark control to latent diffusion models, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:40.781387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:37.633448Z digest=sha256:9e39ef45b4c3e0f6fb8494f7c0d9bf4f1d8e977c867d563a8071dd4bd422f2b1

Observation 6e839b13-6f0a-4b97-9252-53ba908edfb7 · outbound

This paper cites A watermark for large language models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack A watermark for large language models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:37.729936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:37.729936Z digest=sha256:1de88f7c66dc10663638ff7bfca3ca0a4ca681a5d15895130b09d9605f046789

Observation 6654b3b8-7737-4f86-a30a-6c8329d8b2ea · outbound

This paper cites An Entropy-based Text Watermarking Detection Method.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack An Entropy-based Text Watermarking Detection Method

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:37.850814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:37.850814Z digest=sha256:2e01984eed536b468297bc018833161b881cb10a11366a9ecec22fb18ba51ee2

Observation 9cb46d37-0f79-4674-a325-aad6ae49be01 · outbound

This paper cites Adaptive Text Watermark for Large Language Models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Adaptive Text Watermark for Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:37.932494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:37.932494Z digest=sha256:857676e1b77a99f8b98c112f51bbd480574b2e690f5433bbedb6be2ce2bdbc7f

Observation ca88d68c-9569-4980-be49-27d00057d00d · outbound

This paper cites Who wrote this code? watermarking for code generation, 2024.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Who wrote this code? watermarking for code generation, 2024

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:40.561739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:38.010521Z digest=sha256:4db4a489e0a4dac3a0bff115c20960d05f46242d58efdfb915c04ed131f78ffa

Observation a603206b-dcd4-4d8f-9db3-60227446676d · outbound

This paper cites Optimizing watermarks for large language models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Optimizing watermarks for large language models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:38.151006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:38.151006Z digest=sha256:a0d79469e62a5a196d478f737f88dc7e3939f6b84c0e5786c5c0e68ff6139b04

Observation a2437607-fc86-4b82-a892-41997748ba63 · outbound

This paper cites A semantic invariant robust watermark for large language models, 2024.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack A semantic invariant robust watermark for large language models, 2024

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:40.425856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:38.287349Z digest=sha256:275d13ed5fe828133e968599b49dc83f24f5d9ece8d1a2e965b3b60635570f0d

Observation a430149a-138a-401b-bc68-9a07e3c5dd8e · outbound

This paper cites Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:38.411489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:38.411489Z digest=sha256:da57eb3e67dab2393fb29b2101257ca0ec36f1fb21f23d646786ef1e1a2504b9

Observation 862c17f3-b874-42dc-a2bd-baf7ca2d15db · outbound

This paper cites Generative pretraining from pixels.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Generative pretraining from pixels

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:38.541933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:38.541933Z digest=sha256:8c2a030da701a260151294d1a82932a461e2e957910126bf90c1df2ed580a8e5

Observation 6d7a7233-9f7c-4cc0-b6de-1111c6ccb569 · outbound

This paper cites Deep autoregressive networks.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Deep autoregressive networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:38.612797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:38.612797Z digest=sha256:d27e0596ea2283ec8f147d0f46998ce91cb543e483272a378cc2a273c69142c9

Observation a01ea5a8-cea9-46dd-a9e7-8a5832f123d7 · outbound

This paper cites Image transformer.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Image transformer

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:40.242858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:38.734937Z digest=sha256:e8b7cc70531ae371e413b94f791a58e55b1d0fbdced9921b4ba019bf5c6ec14d

Observation 46b12954-ab31-417f-aa56-769ce3ef6358 · outbound

This paper cites Neural discrete representation learning, 2018.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Neural discrete representation learning, 2018

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:38.889294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:38.889294Z digest=sha256:3f3366cdcb39c75aa4a6b6a6cddea6b760a7970460bd88206c0d298b54754c15

Observation e36700d9-dbd6-49eb-9400-550cdd7975a8 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Taming transformers for high-resolution image synthesis

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:38.996042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:38.996042Z digest=sha256:5bf5d4d5a39af1ceee0e19f485d6176729b67165456ef210bbdbb9d4ac498975

Observation dcadb62d-a1be-4b30-aff1-0c8d8695817c · outbound

This paper cites Generating diverse high-fidelity images with vq-vae-2.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Generating diverse high-fidelity images with vq-vae-2

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:39.079934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:39.079934Z digest=sha256:9c24d4532639eee01e4374dc535c96415ea17443806a2984fb916ee0bfc6754b

Observation 9dc31d11-5846-44de-a1b7-25cbd45f56c0 · outbound

This paper cites Autoregressive image generation using residual quantization.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Autoregressive image generation using residual quantization

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:39.161449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:39.161449Z digest=sha256:52689672b7c069b6e72bc3ee0af07b3b03838019ab1150a043ffeea333b4a8bc

Observation 564dae67-f538-4102-98a7-9ab00df026f3 · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30, 2017.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Neural discrete representation learning.Advances in neural information processing systems, 30, 2017

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:39.214888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:39.214888Z digest=sha256:4ba7a4787b9c695cdb152b1dcfbea65321f7f11ed6c08c3c8175cbcd0daf2fc6

Observation ebe9672b-b2d8-4490-bf62-14d164e19f04 · outbound

This paper cites Combined dwt-dct digital image watermarking.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack Combined dwt-dct digital image watermarking

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:57:40.024101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:57:39.282551Z digest=sha256:7e9da59f38e76bbea65cd11836a0e981dd6c55fb98cb755844968fa520af0b07

Observation 3cfb4386-dd11-4dc5-93cd-0a97d3a8af97 · outbound

This paper cites A Recipe for Watermarking Diffusion Models.

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack A Recipe for Watermarking Diffusion Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:39.343912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:39.343912Z digest=sha256:4e3088a0ff1630dbda5ada5df989c50454eb4e1b1d51b22343bb67c634aa8d58

Pith citing papers

Observation 53e1cd11-86b1-4dde-95cc-c53c5bed6995 · inbound

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes cites this paper.

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:25.782757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:32:57.175350Z digest=sha256:69ea2120da9f4d563ed7c992d3a2d99680d0189334f81cb443e7ee813a51d64c