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Paper Citation Record · LEDGER

LLM Watermark Evasion via Bias Inversion

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.23019.

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

pith.paper-citation-record.v1
2509.23019 v5

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:51:54.812148Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9fe4b6a-b7d5-40fc-9e3a-a6c3fcbaf024 · outbound

This paper cites The Llama 3 Herd of Models.

LLM Watermark Evasion via Bias Inversion The Llama 3 Herd of Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.184797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.184797Z digest=sha256:6527892ac1dc850a458776798263451979d20cea2d68370a153dc9487730e8d7

Observation 8369249a-878b-46c6-b757-f5c6b4120e3a · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

LLM Watermark Evasion via Bias Inversion DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.297926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.297926Z digest=sha256:7d21df112d7c155b59f9ce14c40ce0e1556196046412acff699996347e6a063e

Observation 1ae741b4-aafb-422b-8d3f-14e891f20305 · outbound

This paper cites An Unforgeable Publicly Verifiable Watermark for Large Language Models.

LLM Watermark Evasion via Bias Inversion An Unforgeable Publicly Verifiable Watermark for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.677994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.677994Z digest=sha256:71dc01abea5bb8d8430e83b8c3a0fcf21e518fbb7fde70b2b66e68521e002694

Observation 61669a49-041d-43c3-b63a-351ef3504b24 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

LLM Watermark Evasion via Bias Inversion G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.866197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.866197Z digest=sha256:2190abcb84913dd8d2e5d90302ce95849666e47bf2e2e9ee37a4ac746defffa2

Observation 938f04ce-64f4-4e2b-93ab-619fe0545be2 · outbound

This paper cites Large Language Models: A Survey.

LLM Watermark Evasion via Bias Inversion Large Language Models: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:54.040064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:54.040064Z digest=sha256:5543759314e8d874f1e868136de2d49196a3428605e8ebb9fa3de48f23f26d13

Observation a06432c0-6f7d-454f-8296-5cbda27c4b5a · outbound

This paper cites MarkLLM: An Open-Source Toolkit for LLM Watermarking.

LLM Watermark Evasion via Bias Inversion MarkLLM: An Open-Source Toolkit for LLM Watermarking

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:54.249837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:54.249837Z digest=sha256:36e917c84f072e29ad84e9ae5bb7564ab6df1705add1a26f246fefc1ab744b1c

Observation 97a6c5d6-8e18-464c-a93c-32fb092549e7 · outbound

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

LLM Watermark Evasion via Bias Inversion Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:54.429799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:54.429799Z digest=sha256:b52f762ca11734110e7e6dd838efb42d7dce87da13c509b526d4338c774e4dfc

Observation 7becebb1-fd72-4a14-88b4-a227bcad8887 · outbound

This paper cites Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning.

LLM Watermark Evasion via Bias Inversion Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:54.508102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:54.508102Z digest=sha256:6ace2af696c8813c673ccc18d32f12ff76cd4d5be19ccadd4109d37280ed2192

Observation c94bdecd-89f1-426a-9e19-e8abc6db28d0 · outbound

This paper cites A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.

LLM Watermark Evasion via Bias Inversion A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:54.625719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:54.625719Z digest=sha256:2c04a4efe2544158253413acc57bd753d69cdafcd0abca60a8ead286c282fc10

Observation 77621e0e-371e-421c-bb52-07b8a56ba33c · outbound

This paper cites I knew right away he had what we needed.

LLM Watermark Evasion via Bias Inversion I knew right away he had what we needed

Reference 14

Resolution
malformed identifier
no resolver link, observed 2026-08-04T14:51:54.713181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:54.713181Z digest=sha256:ee58e24b5bf2cab0f0c1b6fc1d7a50f678eebb75f00fb67e32d3a9c3a8ebfa40

Observation 4c7877ae-172b-4119-b65d-02a04e01f129 · outbound

This paper cites what happens after the end of the end of everything?.

LLM Watermark Evasion via Bias Inversion what happens after the end of the end of everything?

Reference 1967

Resolution
malformed identifier
no resolver link, observed 2026-08-04T14:51:54.812148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:54.812148Z digest=sha256:4141dc097befdd4490e318ada1190862129a5f25ca2275e7dd21ccbd3814fbcd

Observation 4fda056d-a2b8-4f42-8b8e-dcc3376567d9 · outbound

This paper cites Watermark Stealing in Large Language Models.

LLM Watermark Evasion via Bias Inversion Watermark Stealing in Large Language Models

Reference 1977

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.560092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.560092Z digest=sha256:84e05b9002774931954238e86fb858c19c64a915fd6ef470ebd38e60fa445234

Observation 77163a96-29d7-4e8c-94ae-92c5eb23b102 · outbound

This paper cites Unbiased Watermark for Large Language Models.

LLM Watermark Evasion via Bias Inversion Unbiased Watermark for Large Language Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.456418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.456418Z digest=sha256:7144cd34b74f0406df61d11319c443f648437f5a5c287e1f56e75b3170457a95

Observation cbd55f5a-ba66-48a5-aeec-e533a0694848 · outbound

This paper cites De-mark: Watermark Removal in Large Language Models.

LLM Watermark Evasion via Bias Inversion De-mark: Watermark Removal in Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:52.937774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:52.937774Z digest=sha256:1745f57f69d7083d38b98becace4c377aff2338ece49895b45d81af4cb9baf08

Observation bc38bb9b-2771-4a3f-85fb-795218aeb810 · outbound

This paper cites Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks.

LLM Watermark Evasion via Bias Inversion Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:53.101273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:51:53.101273Z digest=sha256:83ae745f6624a3fba951ddbd5927e6367d666298dd9807b8352d3c32b58e3f1f

Pith citing papers

No inbound Pith citation observations are available.