Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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=sha256:5bd69ed40d3caaeca0d36828c4a70a80f6d420fb7f35fb6e9159180bc5da493c

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:fdd7be85ffb82c61fd4382cf3f1eb9ca9ccc6c09b1cdb325a741bdff54eb884a

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=sha256:7641793852e4401bd8e9d9df4ab4a68217e80f0cc55bfac87efd8d0afdabedbd

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:e8c0304b591306aba00df06fdfd3b6943c696a62e357b673779dc326f146da8c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:34.748227Z digest=sha256:92367de9c6638d117ecc07f59a0e544fa15dad98496073d0d75b89df20191a2a

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:fee74eea3998db64c2882e27e22b9fd531ee10228619791e345873aba66dfe12

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=sha256:7101a77aff4cadf571ef70de71f443251cb334313e209d05cdb0c24170b4421f

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=sha256:2264974f9922545600e645eb572fd0de4ea7f66006e62c3224ca5e195edd1f24

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:ff038e9927fc406fdaca7a1f5e7e30e44a460c058a9dae895e9ce58dc67d4977

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:fbe01a8c3584a0004873c4ea3748aae3a71d3ad4d4cb39b7261a1dae21691a89

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:c518258570b18bbc288c480dfcdafeecd41f51d9b19c4643a1bd80d4c8e6de03

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:35.331067Z digest=sha256:4382c27d6491a3f473cc95d5a53c10c7508b9987df09379e42ab1a527732ebc6

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:dce3037b9f0608b5aa9f4def72edeec90b97f225bdca5d246604626bb044c590

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=sha256:837b8732eda231197f9a5665cf68f447aa1f4f2bea569334fa06cc3e550fde30

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=sha256:98c286ea9dc6919310478e9e4759e75f7a806ae2d668a2bc959b77da6964d014

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=sha256:7b949111a53c77b1abce9cc067803cd910b1df3cc08c1f939aa973db5699e749

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=sha256:66fcd6d896d8247156d6faffaa3570ca25c66d83cb715f3179369c3ef80a06d3

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:dd8370aa021f0d72e17d5750a655d63f421bec25610acdf9113a32f6f3663138

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:b3ec1db7ad731828190581cb1cd6e3bc93cd5f5af57ec2fc735e47b7cdcc7467

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:becf4a9c07cf0b415aad4a5b0b06a03be0a68503e3971d02b9f789afc97d29f6

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=sha256:6c7359305c40c64cfd7654aa7e58bd53a832bbff217917b75c168312fe2df1a7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:36.118287Z digest=sha256:907fe4e442a6439c7e1b428ab6e3e4e2cf5c580adee378963761530ec1b79d5c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:36.235846Z digest=sha256:3892721d6b026798197ec326d147c0598127ec3bef71ea2f7877fcdd79e52df6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:36.334972Z digest=sha256:c80c0fd1d6cc024ed82039d48811dadf740bbcb6dc03b40c1ab963a534110995

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:36.418237Z digest=sha256:af41758d744c95706a8b24c4942c5294179364142ad8116e19b5d3a0bafac03a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:36.503477Z digest=sha256:7a3f609d0cc803a61f8b9b8f22c0d72622af1dc25dc026f7355df16e3b2eb518

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=sha256:58bbc97a91216d2bf9c1001e7786eae372b36bc2669d2936d421a5c8d8002709

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=sha256:553eff345e75ce1a8b0280a19ae529d77e663fe90438c08ba8089c33f42d6627

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:36.737032Z digest=sha256:21352a1f6c3fe49645040b7d94c4018f4086baf2ec08d935eea0b69da0b15501

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:b2c22eaa6e9efc58c124eb48bbee8b9a1fef1f45f04ddebf583f1abbc3753e8b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:36.900865Z digest=sha256:75372b831799decd9ea227f89c015317d2d789e0f5a1c0d49093f9dd6aea82c5

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:f458ebfd67af797027beb3bbcc21ab88b9fdeb859c3641671d250d2c70c0dec0

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:bdedf88bed7f69bec70035985200e591b7ed78a71a5ec78d33d3813f2fedc237

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:37.174832Z digest=sha256:ec3162882eab0c00be94503b6194ce8167cecddde8a07646af6c947f3661dcb2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:37.248221Z digest=sha256:442405dbea589c7e62ad84c580c1e3e14c54c926b0a1408ea5210e153a75b1ec

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:37.296991Z digest=sha256:8816c577c1728ad0b7df88ea4e5f5b86431ab1ac399f99b503008ec9ba3d024c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:37.400941Z digest=sha256:fdb431e90d62b64da7444065c5ebe7248852408dddd85f78eed892894b57f32a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:37.469905Z digest=sha256:0816c5f694071d7a106d1aaf7d7254a2f87b582ff2c780f242a970a2b1c41484

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:37.531739Z digest=sha256:64b7e8849188c07794b7dc97c2e1ca7ba2bf5eb8cd7473e45afbb8a5d4d54e7e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:37.633448Z digest=sha256:904bd2e64e6934a5cbb7ca0487a4a9ed66d2040749c0e7b7e0a2039724a898bc

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=sha256:9b34a13b4c593a2414563c9ca596d4ab9c462fbd13b22cb9531be1cdaed60a7c

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:de1a54a8ed580c698f1af68fd2cbca6e33316d9fafc27cf01c58eeb4d22df5da

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=sha256:503d911074b0b5a9879169078ad602a00e4855a53fd5f4bcf6f7209e705d5ba0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:38.010521Z digest=sha256:fb2941c2c870854eb9ab66bd48ffb5ae1e5081be47ede932bd394f9b349786be

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=sha256:694606d86cc2ae80b13ce5bb996065c098a9162c8ea03288f89b6dd28b84771b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:38.287349Z digest=sha256:1684dd89a93aa4fd50b79c64a3fbfc0396083e3103303b370a1abcf7248232f9

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=sha256:3ada8e8bd8af6c926afff74c89f8046f6c6db221f292cf3f1a81d5809ab23b78

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=sha256:43bd41fb75809f7e4a432e6bfc0c3b40d29b6629ab1e22ddd3dba7e37bae1fcc

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:fa3d2aa4148915898e677ac8005f95de361e46e3adce8e0f77b25e6120f4f030

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:38.734937Z digest=sha256:4ec8043aea0c00b525d34269cbd5b46424f19231b4247a7c63f2ec92e7d35d41

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=sha256:4a963c088a5fdb788389c6e99ecf5306c6e4c298e62eb8eba704c4a09956f62e

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:da26403342ee5d6875bd83301521818d33d0df51c12f477ef0d938c76afa6c11

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=sha256:0745d910a324b86a90125dbd16f0591d784e456054a83487f6b6af197423006c

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=sha256:5e3c5d5e261cea064857096424d932f37780ea3f59204ef218a4cbe9aafcc062

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=sha256:0553da4bdf382e3dddf8685b95d5a0bc1032f01581fecbb7a7190f42d9826aad

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:57:39.282551Z digest=sha256:983bc88b7f1ff27da9c80337f531987fa61f0c08f9451428ce146319c136686a

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=sha256:4fd753ceb4ce787062c43f0191f52cf8350a39572b366c42d5d28720ee4c5f10

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T01:32:57.175350Z digest=sha256:13cb83c873529bcc66dea3df97d07b68015ae499e779782900fb3f5595f14917