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Paper Citation Record · LEDGER

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation

As of 13 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2501.09284.

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

pith.paper-citation-record.v1
2501.09284 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:13:25.245669Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T06:39:15.694127Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:47.632268Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 412731f0-7700-45ed-8532-5f99f42f968a · outbound

This paper cites Llama 3 model card.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Llama 3 model card

Reference 1

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no resolver link, observed 2026-08-10T20:13:25.015827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.015827Z digest=sha256:f2f25d6904f7dc939ce9bd91aa7a18082b803a922c08e0662e298ca87dbdafe5

Observation a2497394-23d3-4828-a237-ca9692372d07 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Piqa: Reasoning about physical commonsense in natural language

Reference 2

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no resolver link, observed 2026-08-10T20:13:25.019627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.019627Z digest=sha256:7bca9c7d3ef69b6c1fdbc71834f07ad7d2ddbfd96bcbe4944bdbbb3bc368909a

Observation d0864511-8b53-48ad-bf1c-789b54267875 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Emerging properties in self-supervised vision transformers

Reference 3

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no resolver link, observed 2026-08-10T20:13:25.022946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.022946Z digest=sha256:607bf589f2106b33f803cbcb7c5808335f8170ae14fbb930eaba24725599e76e

Observation fce9d038-9b06-482d-8d80-f7d72559469d · outbound

This paper cites Refit: A unified watermark removal framework for deep learning systems with limited data.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Refit: A unified watermark removal framework for deep learning systems with limited data

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T20:13:25.649605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.026879Z digest=sha256:1838322ce10ca1b12f18bef817d266b940890de6fdba01bc679ed8cee9c6e801

Observation 98da63aa-9812-47ec-a220-fd48e593b7eb · outbound

This paper cites Effective ambiguity attack against passport-based dnn intellectual property protection schemes through fully connected layer substitution.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Effective ambiguity attack against passport-based dnn intellectual property protection schemes through fully connected layer substitution

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.966058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.030485Z digest=sha256:2953f5de9f4d5ee2476d3db60b56d427c5335090fe976804e642d8e99ebaabbb

Observation 0b8e954e-d593-48ab-8749-ad5e53260f8b · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.034364Z digest=sha256:d9d9b7dd6a3ffed882c7ba64aeca0cdb24c2eebcb936ef1d223d22faccfb8457

Observation ef1583eb-03d6-4294-865e-1d6e032bde67 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

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no resolver link, observed 2026-08-10T20:13:25.038615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.038615Z digest=sha256:8254dff595ab3d8f6afbeb92ae3ddfa8f9cac3b33aa3329a3ad2e58923bdb238

Observation 967436c3-2f20-458c-b9bb-99ff21f4cd25 · outbound

This paper cites Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.954694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.041863Z digest=sha256:97bc3fbc80128e5aeac1d246475d2ade9cfb3d10e85306b01133ca46db809881

Observation ee771094-f546-4c5f-bdcf-0be15bb760bc · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Qlora: Efficient finetuning of quantized llms

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.044970Z digest=sha256:4f1fd04769e0438047120cac6431876b109180f87f7f281df370dad1e2093b0c

Observation 47d9266b-16d1-4f37-becc-21c49edc2583 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Parameter-efficient fine-tuning of large-scale pre-trained language models

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.048192Z digest=sha256:9f8234c4acfbbac9865098981441c2cb2525c30e6aa1856cc10f89ad19676f4f

Observation afd66192-55a9-4c90-acb8-14c9d27d9766 · outbound

This paper cites KronA: Parameter Efficient Tuning with Kronecker Adapter.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation KronA: Parameter Efficient Tuning with Kronecker Adapter

Reference 11

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no resolver link, observed 2026-08-10T20:13:25.051378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.051378Z digest=sha256:996e2e6f673de74f83c7ef604746865d04e73b439e6ffd72d9585b48dfb01e3d

Observation c63459fe-c5f0-4747-ad78-2e29c61436d4 · outbound

This paper cites W., and Chan, C.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation W., and Chan, C

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.933177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.054967Z digest=sha256:276b6d756fdfa361a0ea0dbd0b324fcd27d214dd2a12073333e52ce25dae4b4e

Observation 1f1dd317-43be-49fd-a3a2-302040b86109 · outbound

This paper cites Aqualora: Toward white-box protection for customized stable diffusion models via watermark lora.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Aqualora: Toward white-box protection for customized stable diffusion models via watermark lora

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.923014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.058342Z digest=sha256:7c70197c4e3b3663d7c7011d8545e47e777b647776f051668f1a4481d0890bcc

Observation 8704be61-d830-4151-8d57-1cc64444b350 · outbound

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

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation The stable signature: Rooting watermarks in latent diffusion models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.912971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.061525Z digest=sha256:6455869b02fdb0990b55ae5ad79377021958687e68d5e5d7b3a43615f6fe3b50

Observation cd3d9d76-25bf-48ad-8dfa-fab1c68d2980 · outbound

This paper cites Functional invariants to watermark large transformers.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Functional invariants to watermark large transformers

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.902726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.064785Z digest=sha256:9b7a74b32a1b12b576909915f40231178e48b8317ea57884888cb53fc7ecb230

Observation ea2bdedc-4e30-46da-a2a1-218a3dfccfae · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.068105Z digest=sha256:313ad2bf328cfc836e74c1eb9010b0d80d84e52fa3f1771deb3b8ad2abb520da

Observation 5d07fdc2-d92b-42e1-b6d7-42ba38089832 · outbound

This paper cites Fine-tuning is not enough: A simple yet effective watermark removal attack for dnn models.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Fine-tuning is not enough: A simple yet effective watermark removal attack for dnn models

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.886720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.071294Z digest=sha256:5c90fada41787cb7626c0301b58860378bb39028139ae54d9b5ccbbe9927d56c

Observation 82473f05-0d24-46a0-960d-f84e23e865c2 · outbound

This paper cites J., Guo, A., Lin, C., Grauman, K., Luo, J., and Bigham, J.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation J., Guo, A., Lin, C., Grauman, K., Luo, J., and Bigham, J

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.074585Z digest=sha256:bdd5a3fc92c153f83880a4c4438d8c67b5eefefd882085d6c60e85249744f150

Observation 1a1202a5-8ae6-4d64-a37e-bebdcfce3d7e · outbound

This paper cites an unresolved cited work.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-08-10T20:13:25.871845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.077877Z digest=sha256:54e1e8e22b1af7026f44081c69e3f3ee9eab4c9c129c07d30c2ed7788af723d3

Observation 37f62a86-a830-4649-a2ba-8fc3b066843d · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Lora+: Efficient low rank adaptation of large models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.862116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.081791Z digest=sha256:a35429af8690f9b507e8abbb8674327d22db0e96bb39c22f4ccfcca496f70490

Observation 26fcccb2-fc7b-4f12-bfed-71348bd72651 · outbound

This paper cites J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.852470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.085151Z digest=sha256:eee4bcca2a42bde8edc362e4a0b9c68537cc944edfe4b174ba2d43ee6f3ce860

Observation 0e89581c-3895-468d-ae67-06c0ad34983b · outbound

This paper cites LLM -adapters: An adapter family for parameter-efficient fine-tuning of large language models.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation LLM -adapters: An adapter family for parameter-efficient fine-tuning of large language models

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.088457Z digest=sha256:2109f30efc637f812cd4a036ce6cb8f3baabeb508fbd22d299bb08511e83c062

Observation 1c12e084-5185-4d98-b1db-3fae4196b082 · outbound

This paper cites an unresolved cited work.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-10T20:13:25.092594Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.092594Z digest=sha256:5e0de6cbeb08e5fd84beeb535b203e297efe149ba394cdb086c1c4143a362184

Observation 849e6dea-c90e-4280-9cde-364941a62c03 · outbound

This paper cites FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.096093Z digest=sha256:df71a73cc8f9e940fca9bcffdb7974bf1b0ffc5eb5c6bb9d4e3ccd58205c30ed

Observation 9736ab3e-477f-45ea-afd7-feefe3146991 · outbound

This paper cites LoRA Training in the NTK Regime has No Spurious Local Minima.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation LoRA Training in the NTK Regime has No Spurious Local Minima

Reference 25

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no resolver link, observed 2026-08-10T20:13:25.099681Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.099681Z digest=sha256:ef0e127cc6250b49c2a4602666d4bd6f20cee5594284bf8ffdb183de788a0722

Observation 41684149-4c7b-4f93-b16d-423fe2158b10 · outbound

This paper cites A., Chandrasekaran, V., and Papernot, N.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation A., Chandrasekaran, V., and Papernot, N

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.836859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.103456Z digest=sha256:4513525652703926064187bc5d726eee38b822ce449d0f39759c0a200ff3c3b3

Observation c32027b3-cdbb-40e4-ade8-ec9e65fadcf3 · outbound

This paper cites Mistral 7B.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Mistral 7B

Reference 27

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unresolved
no resolver link, observed 2026-08-10T20:13:25.107488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.107488Z digest=sha256:b43d924dd91a2300319d1a4bc68dd195cc985056e4095f548c7bdb251c62f91e

Observation 3d6668a9-0947-4d5f-8ca7-2507b103e933 · outbound

This paper cites On the reliability of watermarks for large language models.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation On the reliability of watermarks for large language models

Reference 28

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unresolved
no resolver link, observed 2026-08-10T20:13:25.111227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.111227Z digest=sha256:7888f350e9871c5208950f65ced17a80ef268ddd26e2bee8b63c760812d28c55

Observation fe8fdf7d-97b8-4bc5-815a-793c00935db4 · outbound

This paper cites J., Blankevoort, T., and Asano, Y.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation J., Blankevoort, T., and Asano, Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.820596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.114476Z digest=sha256:f5158b03cc55e1e3539478dd43830a4e399753c8053c63dba1f79d23065705a2

Observation d7578e36-b701-4fb6-9473-1ad1542808f5 · outbound

This paper cites Optimal brain damage.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Optimal brain damage

Reference 30

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unresolved
no resolver link, observed 2026-08-10T20:13:25.117884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.117884Z digest=sha256:582eb546162fa6b2f4f0a6838ac56b36c29058eadaae10a9b1e78dfae9b71ec4

Observation 671bfeab-579f-4ce1-bb40-664a33c0c27d · outbound

This paper cites an unresolved cited work.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:13:25.805861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.121214Z digest=sha256:4fb4340ec276fea71ca505257e719440f48b8b12ec273b86aa1c65f376b0683f

Observation 659b821e-b983-4d63-ae2c-9c8724d9736a · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Evaluating Object Hallucination in Large Vision-Language Models

Reference 32

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unresolved
no resolver link, observed 2026-08-10T20:13:25.124574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.124574Z digest=sha256:bc30343b7b736eac0a23250ea8f624d042fe45376e182854638e58990c6baa0c

Observation b153a57f-3671-4152-92ed-fa171dec9604 · outbound

This paper cites H., Chan, C.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation H., Chan, C

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.795757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.128116Z digest=sha256:6b5b0edd2f170854ac1cff7efca75ec25701e60f27842c28afcd4f465b92ed19

Observation 46385a97-ca54-40fb-9fd6-e1cd61debdd4 · outbound

This paper cites Watermarking deep neural networks with greedy residuals.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Watermarking deep neural networks with greedy residuals

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.787020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.131558Z digest=sha256:fa6ed181bae8f4f2d24488ef9d7072cd45d0e3437ee61c46f1e62fcb2402b4fd

Observation b18fedc8-f72a-41ac-b4cd-6ec5b968c58e · outbound

This paper cites an unresolved cited work.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-10T20:13:25.134796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.134796Z digest=sha256:7238e9496fa77faedcb094f3fddcbfe1dc40bb3223ce649f8a535c5af9b54f8d

Observation cc9c91bf-2fcc-4cd1-8dbe-961179d964cd · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 36

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source=arxiv_source observed=2026-08-10T20:13:25.138609Z digest=sha256:72d2071a19d815e6ed4865159912f2e04fd5497b44cc4d3fe6c27d7995ad7ba5

Observation c15fad2a-a3db-4089-8922-7b5d1816b154 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation MMBench: Is Your Multi-modal Model an All-around Player?

Reference 37

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source=arxiv_source observed=2026-08-10T20:13:25.142751Z digest=sha256:fecd23b1da9d934e4519d045f257f0830a80a3e0f70988854a315944db5423f3

Observation ec6ebabe-185f-4fbd-b293-255c602e9226 · outbound

This paper cites and Hutter, F.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation and Hutter, F

Reference 38

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source=arxiv_source observed=2026-08-10T20:13:25.146405Z digest=sha256:15ac1a15442593ab912b5c31b56b79461ec55f474edb3f0ecc956b33e3e6889a

Observation 4de6114e-7c08-4e78-b182-210d5b74193d · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 39

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no resolver link, observed 2026-08-10T20:13:25.149798Z

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source=arxiv_source observed=2026-08-10T20:13:25.149798Z digest=sha256:d91517f3db5744a8b5ed09a55870b8b7157514b346760d29190f8792727420a5

Observation 72369498-7ad5-40b1-80c5-be557c450766 · outbound

This paper cites Stylus: Automatic Adapter Selection for Diffusion Models.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Stylus: Automatic Adapter Selection for Diffusion Models

Reference 40

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no resolver link, observed 2026-08-10T20:13:25.153292Z

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source=arxiv_source observed=2026-08-10T20:13:25.153292Z digest=sha256:13db3b3d91eaf5073a7d58a852662c8b1d24bf364eb6e61bbbc198d82787472d

Observation 8c437ef1-4d52-4431-a98b-fc74f6dd5fb9 · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Peft: State-of-the-art parameter-efficient fine-tuning methods

Reference 41

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source=arxiv_source observed=2026-08-10T20:13:25.157145Z digest=sha256:a79e79d660819850aa963ebab7d97f3e64d34ed534b6c6495192337e6f57e893

Observation e31f34da-41dd-4fab-900c-84be5d3846de · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 42

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no resolver link, observed 2026-08-10T20:13:25.160531Z

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source=arxiv_source observed=2026-08-10T20:13:25.160531Z digest=sha256:a9aa8af177118faee46c4b61f1f82df75b5809c5ad3cf2bbc0949e4c5afae133

Observation 92a2c1b2-198c-44df-b472-83e32a50dc24 · outbound

This paper cites Dreammatcher: Appearance matching self-attention for semantically-consistent text-to-image personalization, 2024.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Dreammatcher: Appearance matching self-attention for semantically-consistent text-to-image personalization, 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.752113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.163885Z digest=sha256:97c232a6ea3361da4f3424c5638067dfaacc8b13e987fbe50f8754bd77ed6394

Observation a42b6bd3-ac15-41e3-90c9-ac6b887d6151 · outbound

This paper cites DeepEclipse: How to Break White-Box DNN-Watermarking Schemes.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation DeepEclipse: How to Break White-Box DNN-Watermarking Schemes

Reference 44

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verified exact
local_arxiv, observed 2026-08-10T20:13:25.494557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.167962Z digest=sha256:0327677ebe42224ed7b1a6ad8e7c0a17e1244632f3b2f73f98e98a12cc4c52d0

Observation 063f4da1-2aaa-4d2a-a55d-e814190b7e3a · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 45

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source=arxiv_source observed=2026-08-10T20:13:25.171706Z digest=sha256:3ad414a3bffaac86f133bc0fd79efe4663415f7451d6936915ddc05d92862af9

Observation 0574f291-6cf6-4831-86bb-7d925a998783 · outbound

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

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation High-resolution image synthesis with latent diffusion models

Reference 46

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no resolver link, observed 2026-08-10T20:13:25.175166Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.175166Z digest=sha256:528257d73ea686ef4f3bddf6e2fe3fb6c62a37f1425f273515fccbb68636c765

Observation e33272da-1777-4264-80fb-0da218367416 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 47

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source=arxiv_source observed=2026-08-10T20:13:25.178542Z digest=sha256:0c743fc8d0b316d1cf31e568ede314fa4c19fcb53aa33949828cc8ff0b55d824

Observation 4dc4475b-b52f-4d1e-97c3-67a5e198b82c · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation L., Bhagavatula, C., and Choi, Y

Reference 48

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source=arxiv_source observed=2026-08-10T20:13:25.182004Z digest=sha256:cdcb401488077b63e1bf9ec1be4d02ad703e5d39f5aed4828c1951f29db998f5

Observation 58ca460b-af61-4f7f-9f3a-4a11431c3728 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation SocialIQA: Commonsense Reasoning about Social Interactions

Reference 49

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source=arxiv_source observed=2026-08-10T20:13:25.185218Z digest=sha256:95ada610c6461bc44dbc8444b69b53f7b24fbce9d1134ee33f8edbe12eb1458e

Observation 8f549e09-35dc-4296-8af4-52e777dc1b9a · outbound

This paper cites Towards vqa models that can read.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Towards vqa models that can read

Reference 50

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no resolver link, observed 2026-08-10T20:13:25.188876Z

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source=arxiv_source observed=2026-08-10T20:13:25.188876Z digest=sha256:01465041c4b6eaf60a515911146e9a682cb66c82652b6ce4c2e50d6c32610f4b

Observation 77ae7361-0279-4014-b918-4b0a736da0f8 · outbound

This paper cites an unresolved cited work.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-08-10T20:13:25.192460Z digest=sha256:8d2892af4530936efb6ba7a4bbb2ea323811dba57e05360adc7fc202a10d814e

Observation 809e8868-bec3-4668-9aec-3c78347d00d4 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Gemma: Open Models Based on Gemini Research and Technology

Reference 52

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source=arxiv_source observed=2026-08-10T20:13:25.195973Z digest=sha256:ce175f5974dfea2703785841f1a0809774a1bd03e1dc701460103b6a44613648

Observation 7b7afdeb-6f73-4733-a538-39e8a6e35146 · outbound

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

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

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no resolver link, observed 2026-08-10T20:13:25.199409Z

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source=arxiv_source observed=2026-08-10T20:13:25.199409Z digest=sha256:3192e00a2f90e6c81db09ebc51173088151ddac262139335a83ebb621dbca1a6

Observation 68185a37-92df-4b87-a05b-90706eca90b4 · outbound

This paper cites Embedding watermarks into deep neural networks.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Embedding watermarks into deep neural networks

Reference 54

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no resolver link, observed 2026-08-10T20:13:25.203007Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T20:13:25.203007Z digest=sha256:72a23a96e2dd30f05b14056576d09221fdc75fe45b701dd68e020288ecccc4e2

Observation 9a0f7032-cbb3-457a-91db-cb10a3cf8294 · outbound

This paper cites TokenMark: A Modality-Agnostic Watermark for Pre-trained Transformers.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation TokenMark: A Modality-Agnostic Watermark for Pre-trained Transformers

Reference 55

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source=arxiv_source observed=2026-08-10T20:13:25.207000Z digest=sha256:161d408a3acff162238c84cdfdacd6c11dde5b067badd3c598843f732060bceb

Observation bd32433f-2807-4c46-817c-d6b39464e58a · outbound

This paper cites Rethinking white-box watermarks on deep learning models under neural structural obfuscation.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Rethinking white-box watermarks on deep learning models under neural structural obfuscation

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.709922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.210465Z digest=sha256:91f8aac31fc8d4ee0fa95919af1b22a5c05c71a2bf7c5d7c6512a4168120cc29

Observation 53abea48-4a14-4eab-bceb-aef4d5605120 · outbound

This paper cites Qwen2.5 Technical Report.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Qwen2.5 Technical Report

Reference 57

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source=arxiv_source observed=2026-08-10T20:13:25.213814Z digest=sha256:f95e80a9f40b624a4b5dd5a7a87a7b5d3512fdf5a46a1ebfddc341931ddf2ca9

Observation 91373c21-c493-46fd-857c-d497fd218cdd · outbound

This paper cites B., Oh, G., and Gong, Y.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation B., Oh, G., and Gong, Y

Reference 58

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source=arxiv_source observed=2026-08-10T20:13:25.217264Z digest=sha256:f1225786462d2d60f083be68c5eed279aef5b21dc704370f30190c15f8fe4107

Observation 8af715ac-40a1-41fb-ab59-b2c787bb0b63 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 59

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source=arxiv_source observed=2026-08-10T20:13:25.220916Z digest=sha256:080d788142ce5dbe2d80c575996e83cef2364b33795305b44b5f16c17fb78a6c

Observation ce9efd2c-96b9-4dad-91af-7287ac2d6819 · outbound

This paper cites P., Huang, H., and Molloy, I.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation P., Huang, H., and Molloy, I

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.695059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.224474Z digest=sha256:d269e3a4cf03887038a19ad3bcbab10b877288d0b9ea52c2f0909db1407a9993

Observation 42589946-719d-4c66-8d81-0c6059aaf47a · outbound

This paper cites Passport-aware normalization for deep model protection.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Passport-aware normalization for deep model protection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.685509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.227696Z digest=sha256:4e426a3b3f727252028fbfac01fcc32b73b7b64c4de8c267679abfb3c0ea94fa

Observation ff930418-18d6-4fb7-9ccc-6b2f49bd7a61 · outbound

This paper cites LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning

Reference 62

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T20:13:25.230824Z digest=sha256:cc8615c36f7fb7ef2c14cbeeb7f5126cd107234759cffae9eb64428f6b9e19f0

Observation 308dbe86-1e10-482b-8c7f-ca997e3e40fa · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Adaptive budget allocation for parameter-efficient fine-tuning

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:25.674503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T20:13:25.234401Z digest=sha256:935ef171a396c762ece0db9d11ce3c71132b96354eb43668d2a8707ad32bf25e

Observation eba97470-625d-4d4d-94ba-73bc056f6774 · outbound

This paper cites LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Reference 64

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no resolver link, observed 2026-08-10T20:13:25.237632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:13:25.237632Z digest=sha256:604a2b7c6a9a4b5e837ca44945a5ad2c3e144aecd99d460dd92e8294cc125756

Observation 60e569af-ee02-49a5-baa4-687f98f84dde · outbound

This paper cites P., Zhang, H., Gonzalez, J.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation P., Zhang, H., Gonzalez, J

Reference 65

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source=arxiv_source observed=2026-08-10T20:13:25.241566Z digest=sha256:9fde44a3e8535412e052b075c8a819e38a8650f76da59825d599231b96a20291

Observation 7c4c3906-ca64-46d2-a856-6ba1c7f0144f · outbound

This paper cites write newline.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation write newline

Reference 66

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source=arxiv_source observed=2026-08-10T20:13:25.245669Z digest=sha256:ba44997b37f0540783716451c85ef33d44f61162dc3929e06806fb883346fad8

Pith citing papers

Observation 0fbd7971-ea90-460e-84db-5f650cbb282e · inbound

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models cites this paper.

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models SEAL: Entangled White-box Watermarks on Low-Rank Adaptation

Reference 42

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verified exact
arxiv_id, observed 2026-06-29T14:33:31.003062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T06:39:15.694127Z digest=sha256:4e86b024f83bf18e96372c854a9488d517ea8807d25b4859b09be58ee21d5286

Observation 805d9652-e750-4fc3-8735-608e173c807f · inbound

TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations cites this paper.

TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations SEAL: Entangled White-box Watermarks on Low-Rank Adaptation

Reference 32

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verified exact
arxiv_id, observed 2026-07-03T17:58:47.633743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T03:25:36.082982Z digest=sha256:69c416d1c06a8f0615ac8fb56927ff355838af2db071615b816daebdfbb0b992