Paper Citation Record · LEDGER

Making Open-Source Text LLM Watermarks Durable Against Merging

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.20435.

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

pith.paper-citation-record.v1
2607.20435 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:26:15.115493Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

53 of 53 outbound references displayed

verified exact0
verified fuzzy0
unresolved52
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ecd5f6b-156a-4fda-85c8-0181b3e1d7ee · outbound

This paper cites Generative ai transparency: Identifi- cation of machine-generated content.

Making Open-Source Text LLM Watermarks Durable Against Merging Generative ai transparency: Identifi- cation of machine-generated content

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:13.540542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 033719aa-9a77-4a8d-a2b7-7bda281de3cc · outbound

This paper cites Scalable watermarking for identifying large language model outputs.Nature, 634(8035):818–823, 2024.

Making Open-Source Text LLM Watermarks Durable Against Merging Scalable watermarking for identifying large language model outputs.Nature, 634(8035):818–823, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:13.682732Z

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Observation daeb8f3d-98cc-4749-8c39-09daa0c8806e · outbound

This paper cites Qwen3.5: Towards native multimodal agents, February 2026.

Making Open-Source Text LLM Watermarks Durable Against Merging Qwen3.5: Towards native multimodal agents, February 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:13.833444Z

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Observation 64062328-dbad-4d31-89bb-ba9b7b2eaab4 · outbound

This paper cites Deepseek-v4: Towards highly efficient million-token context intelligence, 2026.

Making Open-Source Text LLM Watermarks Durable Against Merging Deepseek-v4: Towards highly efficient million-token context intelligence, 2026

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:13.979190Z

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Observation 2ae91be8-37f1-4bab-a2a5-5c7f77bce7c0 · outbound

This paper cites Kimi k2.5: Visual agentic intelligence,.

Making Open-Source Text LLM Watermarks Durable Against Merging Kimi k2.5: Visual agentic intelligence,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.088029Z

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Observation b6052a94-a9f3-4f49-ab64-faa4b0bf4ddd · outbound

This paper cites Towards Watermarking of Open-Source LLMs.

Making Open-Source Text LLM Watermarks Durable Against Merging Towards Watermarking of Open-Source LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.310184Z

Source-reported events for the cited work

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Observation a5c6d3a6-2b8e-4a46-9665-0dd6d9377c45 · outbound

This paper cites Open llm leaderboard.

Making Open-Source Text LLM Watermarks Durable Against Merging Open llm leaderboard

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.464252Z

Source-reported events for the cited work

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Observation 4a25a2bd-6600-4ed9-bb97-6befd1abd975 · outbound

This paper cites On the learnability of watermarks for language models.

Making Open-Source Text LLM Watermarks Durable Against Merging On the learnability of watermarks for language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.527136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b18cdef2-e6da-4049-88c9-ed1c783c72dc · outbound

This paper cites Gaussmark: A practical approach for structural watermarking of language models, 2025.

Making Open-Source Text LLM Watermarks Durable Against Merging Gaussmark: A practical approach for structural watermarking of language models, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.540150Z

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Observation a3b35b27-4094-46b3-acdc-abced360af82 · outbound

This paper cites A watermark for large language models.

Making Open-Source Text LLM Watermarks Durable Against Merging A watermark for large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.622033Z

Source-reported events for the cited work

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Observation 735f07fe-8d3c-44ee-b331-930828dbab30 · outbound

This paper cites Robust distortion- free watermarks for language models.TMLR, 2024.

Making Open-Source Text LLM Watermarks Durable Against Merging Robust distortion- free watermarks for language models.TMLR, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.757481Z

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Observation d84782eb-5e10-454c-9b5f-4f570a5fd6bb · outbound

This paper cites Watermarking of large language models.

Making Open-Source Text LLM Watermarks Durable Against Merging Watermarking of large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.845250Z

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Observation eca8ae3f-4500-4b2d-aaca-89763155582e · outbound

This paper cites Pro: Enabling precise and robust text watermark for open-source llms.arXiv preprint arXiv:2510.23891, 2025.

Making Open-Source Text LLM Watermarks Durable Against Merging Pro: Enabling precise and robust text watermark for open-source llms.arXiv preprint arXiv:2510.23891, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.946232Z

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Observation 00d50627-6c20-46ea-b930-fbd560b2cf04 · outbound

This paper cites LLM fingerprinting via semantically conditioned watermarks.

Making Open-Source Text LLM Watermarks Durable Against Merging LLM fingerprinting via semantically conditioned watermarks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.958305Z

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Observation 5f5ca68e-5b16-4383-b5f2-51e1faa66424 · outbound

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

Making Open-Source Text LLM Watermarks Durable Against Merging On the Reliability of Watermarks for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.962163Z

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Observation 09b3606e-c6f2-4336-80db-0f811fc5bdb7 · outbound

This paper cites Can AI-Generated Text be Reliably Detected?.

Making Open-Source Text LLM Watermarks Durable Against Merging Can AI-Generated Text be Reliably Detected?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.966434Z

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Observation 8aa40704-e44a-4b4e-8695-d211a1c88929 · outbound

This paper cites Watermark stealing in large language models.

Making Open-Source Text LLM Watermarks Durable Against Merging Watermark stealing in large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.970839Z

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Observation 62a9fa2d-8304-4491-8cd2-a04415469111 · outbound

This paper cites Can watermarks survive translation? on the cross-lingual consistency of text watermark for large language models.

Making Open-Source Text LLM Watermarks Durable Against Merging Can watermarks survive translation? on the cross-lingual consistency of text watermark for large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.975457Z

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Observation 43bb496a-b066-4029-8ae9-3aac29a95784 · outbound

This paper cites No free lunch in llm watermarking: Trade-offs in watermarking design choices.Advances in Neural Information Processing Systems, 37:138756–138788, 2024.

Making Open-Source Text LLM Watermarks Durable Against Merging No free lunch in llm watermarking: Trade-offs in watermarking design choices.Advances in Neural Information Processing Systems, 37:138756–138788, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.979337Z

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Observation 832b3718-2109-4681-b2d8-36a4a677e324 · outbound

This paper cites Arcee’s MergeKit: A toolkit for merging large language models.

Making Open-Source Text LLM Watermarks Durable Against Merging Arcee’s MergeKit: A toolkit for merging large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.983139Z

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Observation 9413a8a0-7aaa-4e5e-8c24-4bfa6e3804f1 · outbound

This paper cites Editing Models with Task Arithmetic.

Making Open-Source Text LLM Watermarks Durable Against Merging Editing Models with Task Arithmetic

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.991183Z

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Observation 95aaa170-af31-4d45-b692-bc9395105e53 · outbound

This paper cites Ties-merging: Resolving interference when merging models.Advances in neural information processing systems, 36:7093–7115, 2023.

Making Open-Source Text LLM Watermarks Durable Against Merging Ties-merging: Resolving interference when merging models.Advances in neural information processing systems, 36:7093–7115, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.995456Z

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Observation d961fc3e-1632-4da8-b134-9731a051b0ac · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

Making Open-Source Text LLM Watermarks Durable Against Merging Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.999756Z

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Observation 0fd7ad4b-9dbb-42a7-a777-2c4551a80455 · outbound

This paper cites BgGPT 1.0: Extending English-centric LLMs to other languages.

Making Open-Source Text LLM Watermarks Durable Against Merging BgGPT 1.0: Extending English-centric LLMs to other languages

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.003673Z

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Observation 596a1cb1-cce2-4172-839e-7832edd5d6cd · outbound

This paper cites Instruction tuning with GPT-4, 2023.

Making Open-Source Text LLM Watermarks Durable Against Merging Instruction tuning with GPT-4, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.008608Z

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Observation 295bc9fd-9801-4931-96e7-89f63cdb1e20 · outbound

This paper cites OpenWebText corpus.

Making Open-Source Text LLM Watermarks Durable Against Merging OpenWebText corpus

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.012625Z

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Observation b894ad4f-9a6d-47a5-ab27-9f91806fa32c · outbound

This paper cites Alpaca-GPT4-DE: German translation of the Alpaca-GPT4 instruction dataset.

Making Open-Source Text LLM Watermarks Durable Against Merging Alpaca-GPT4-DE: German translation of the Alpaca-GPT4 instruction dataset

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.016701Z

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Observation 8befd569-6c63-4d59-814a-1c1b65eaa817 · outbound

This paper cites FineWeb-2: A sparkling update with 1000s of languages.https://huggingface.co/datasets/HuggingFaceFW/fineweb-2, 2024.

Making Open-Source Text LLM Watermarks Durable Against Merging FineWeb-2: A sparkling update with 1000s of languages.https://huggingface.co/datasets/HuggingFaceFW/fineweb-2, 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.020507Z

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Observation 94d152a4-2d91-4d27-8e95-85a4038f6184 · outbound

This paper cites Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu.

Making Open-Source Text LLM Watermarks Durable Against Merging Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.024436Z

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Observation 99d72afe-9845-4357-aebe-18a80c8f42c7 · outbound

This paper cites Code Alpaca: An instruction-following LLaMA model for code generation.

Making Open-Source Text LLM Watermarks Durable Against Merging Code Alpaca: An instruction-following LLaMA model for code generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.028328Z

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Observation d4ee29b0-5036-45ec-a6ef-33804c322f0b · outbound

This paper cites Nu- minamath.

Making Open-Source Text LLM Watermarks Durable Against Merging Nu- minamath

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.032189Z

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Observation 93e81582-7f14-47de-8205-81a5333d996d · outbound

This paper cites Mul- tilingualSIFT: Multilingual Supervised Instruction Fine-tuning, July 2023.

Making Open-Source Text LLM Watermarks Durable Against Merging Mul- tilingualSIFT: Multilingual Supervised Instruction Fine-tuning, July 2023

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.036168Z

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Observation 512646e2-856e-45d7-beb6-172b76fb7146 · outbound

This paper cites French-alpaca: A French instruction-following dataset (110k).

Making Open-Source Text LLM Watermarks Durable Against Merging French-alpaca: A French instruction-following dataset (110k)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.040265Z

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Observation f3dc0132-3712-438a-b4a0-aaed396a35c9 · outbound

This paper cites The Lucie-7B LLM and the Lucie Training Dataset: Open resources for multilingual language generation.

Making Open-Source Text LLM Watermarks Durable Against Merging The Lucie-7B LLM and the Lucie Training Dataset: Open resources for multilingual language generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.044319Z

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Observation 89934cc2-0232-457c-b2f9-466626ca12cc · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Making Open-Source Text LLM Watermarks Durable Against Merging Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.048302Z

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Observation 9dafff1f-334a-4e7d-9ffd-1db6b7fc3652 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Making Open-Source Text LLM Watermarks Durable Against Merging Training Verifiers to Solve Math Word Problems

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.053740Z

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Observation 0f5646ee-0729-4dad-85d4-e6249df72d7b · outbound

This paper cites The language model evaluation harness, 07 2024.

Making Open-Source Text LLM Watermarks Durable Against Merging The language model evaluation harness, 07 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.057894Z

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Observation 2017c5d8-8136-4bdb-9624-d9d3f9a4acbe · outbound

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

Making Open-Source Text LLM Watermarks Durable Against Merging Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.061489Z

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Observation 9940ce9a-53ca-4cb5-b6f8-6ba9e26d94a2 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Making Open-Source Text LLM Watermarks Durable Against Merging Measuring Massive Multitask Language Understanding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.065707Z

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Observation c4987db0-7fda-44c6-9ddd-36fb3371c172 · outbound

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

Making Open-Source Text LLM Watermarks Durable Against Merging HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.070111Z

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Observation 016a574d-6436-42a8-906d-21d3677f916c · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Making Open-Source Text LLM Watermarks Durable Against Merging Solving Quantitative Reasoning Problems with Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.074953Z

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Observation 4c785306-7bbc-4736-b427-8f03ff7974d6 · outbound

This paper cites FuseChat: Knowledge Fusion of Chat Models.

Making Open-Source Text LLM Watermarks Durable Against Merging FuseChat: Knowledge Fusion of Chat Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.079024Z

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Observation 6379591e-17e3-4235-9909-a15eb5b9d380 · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

Making Open-Source Text LLM Watermarks Durable Against Merging OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.082977Z

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Observation c3283ae2-e98f-480d-b3ec-23f8167ea3aa · outbound

This paper cites Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D.

Making Open-Source Text LLM Watermarks Durable Against Merging Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.087005Z

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Observation a77765d2-a4d6-46ba-b86c-db6da149e392 · outbound

This paper cites Model breadcrumbs: Scaling multi-task model merging with sparse masks.

Making Open-Source Text LLM Watermarks Durable Against Merging Model breadcrumbs: Scaling multi-task model merging with sparse masks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.090850Z

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Observation 6c5fd006-a06e-4662-97c9-dc7b23db1f79 · outbound

This paper cites The Llama 3 Herd of Models.

Making Open-Source Text LLM Watermarks Durable Against Merging The Llama 3 Herd of Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.094596Z

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Observation 8f0262a8-9341-4acf-9d01-e07338c6202e · outbound

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

Making Open-Source Text LLM Watermarks Durable Against Merging Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.098661Z

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Observation 9ad9b149-7465-4141-bb3f-3cd8cf177929 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Making Open-Source Text LLM Watermarks Durable Against Merging Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.102901Z

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Observation 0abf2f63-7f49-432c-b79d-2dd755ed707c · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Making Open-Source Text LLM Watermarks Durable Against Merging Qwen2.5: A party of foundation models, September 2024

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.107587Z

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Observation 312ac677-3d76-4bcb-9a59-8ad03a239f1a · outbound

This paper cites We use the same KGW parameters in both runs (γ=0.25, k=1).

Making Open-Source Text LLM Watermarks Durable Against Merging We use the same KGW parameters in both runs (γ=0.25, k=1)

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.111215Z

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Observation 05e22f45-3f86-4e50-8bc0-3d5a3c306b81 · outbound

This paper cites an unresolved cited work.

Making Open-Source Text LLM Watermarks Durable Against Merging Unresolved cited work

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-02T14:26:15.115493Z

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Observation fa0e4e21-9c8f-4d77-93d9-d6d3be03b7ca · outbound

This paper cites doi: 10.18653/v1/2024.emnlp-industry.36.

Making Open-Source Text LLM Watermarks Durable Against Merging doi: 10.18653/v1/2024.emnlp-industry.36

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.986938Z

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Observation c6d4c103-59c7-437c-9d54-7149e708770c · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Making Open-Source Text LLM Watermarks Durable Against Merging Kimi K2.5: Visual Agentic Intelligence

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:14.192314Z

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Pith citing papers

No inbound Pith citation observations are available.