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Paper Citation Record · LEDGER

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.08221.

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

pith.paper-citation-record.v1
2607.08221 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T11:05:36.890801Z

measured 34 of 34 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

34 of 34 outbound references displayed

  • verified exact10
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c89e582-a788-4f32-b564-35a248e06925 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Evaluating Large Language Models Trained on Code

Reference 1

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verified exact
local_arxiv, observed 2026-07-10T11:07:01.943530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 749349de-0546-4b49-b283-36d34c1c58da · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Chain-of-thought prompting elicits reasoning in large language models,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5ddd7289-09a0-44e8-bc8b-e7b6170b4f32 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 3

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raw_fallback, observed 2026-07-10T11:07:02.147746Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f91b0ad4-15cd-43c0-b6c2-1fd0287c1139 · outbound

This paper cites Flamingo: A visual language model for few-shot learning,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Flamingo: A visual language model for few-shot learning,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 71f2b459-b480-4b70-9139-aaa71490ac0a · outbound

This paper cites Language modeling is compression,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Language modeling is compression,

Reference 5

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1608f96a-2aed-483e-b8da-cd532a47f32d · outbound

This paper cites an unresolved cited work.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Unresolved cited work

Reference 6

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Observation 77f65902-d395-4351-9133-b1f18683716a · outbound

This paper cites Arithmetic coding for data compression.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Arithmetic coding for data compression

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 894adf33-fc44-42e9-b0f8-1c69e5a2757f · outbound

This paper cites Large Language Model for Lossless Image Compression with Visual Prompts.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Large Language Model for Lossless Image Compression with Visual Prompts

Reference 8

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local_arxiv, observed 2026-07-10T11:07:01.942431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 28699227-f289-47b6-8743-4e7c21694829 · outbound

This paper cites Deep lossy plus residual coding for lossless and near-lossless image compression,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Deep lossy plus residual coding for lossless and near-lossless image compression,

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:f9ec3950975640d18723c95b4bfacb96f7542a1490e3fad3c8919104b6ffe829

Observation bf2eee5f-17c2-46a8-8a10-a9ee6ddd9eb4 · outbound

This paper cites Large language models for lossless image compression: Next- pixel prediction in language space is all you need,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Large language models for lossless image compression: Next- pixel prediction in language space is all you need,

Reference 10

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Observation 76c9184e-9ba5-455f-b976-ce40d50304d4 · outbound

This paper cites Png (portable network graphics) specification version 1.0,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Png (portable network graphics) specification version 1.0,

Reference 11

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Observation 9786f6aa-e7d6-4b97-bd9b-932fec776b0a · outbound

This paper cites The loco-i lossless image compression algorithm: Principles and standardization into jpeg- ls.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression The loco-i lossless image compression algorithm: Principles and standardization into jpeg- ls

Reference 12

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raw_fallback, observed 2026-07-10T11:07:02.173999Z

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Observation f3724318-c5a9-46ae-b5c6-f0059d3fc610 · outbound

This paper cites Jpeg xl next-generation image compression architecture and coding tools,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Jpeg xl next-generation image compression architecture and coding tools,

Reference 13

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Observation 70d19532-4f15-49f7-bc31-a7c7d31e32d6 · outbound

This paper cites Pixel recurrent neural networks,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Pixel recurrent neural networks,

Reference 14

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raw_fallback, observed 2026-07-10T11:07:02.151967Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:d245cbafef807bafc747098a09081b07813a4e0dc61d06b14376e581433b40a4

Observation 661e8904-6813-443c-a3c8-1157ec088e8b · outbound

This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 15

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local_arxiv, observed 2026-07-10T11:07:01.956038Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:6ca0be82bfbdf2b0dfa84d7b613aac0e9706fb587f2814451f8e08420d65cbcc

Observation ec6cc9af-2f7e-4410-9087-5a80279e57c1 · outbound

This paper cites Practical full resolution learned lossless image compression,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Practical full resolution learned lossless image compression,

Reference 16

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Observation e1b30ac0-2117-4ceb-9c59-474b888ded2f · outbound

This paper cites Learning better lossless compression using lossy compression,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Learning better lossless compression using lossy compression,

Reference 17

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Observation c2cbc010-e5d0-4c98-b24a-558bb2012227 · outbound

This paper cites ivpf: Numerical invertible volume preserving flow for efficient lossless compression,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression ivpf: Numerical invertible volume preserving flow for efficient lossless compression,

Reference 18

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Observation 5e3aad40-03ea-499c-8ade-262fe82dc901 · outbound

This paper cites iflow: Numerically invertible flows for efficient lossless compression via a uniform coder,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression iflow: Numerically invertible flows for efficient lossless compression via a uniform coder,

Reference 19

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:bcb397223f105327859660501b665f2e9516e01ac51a2f24a144864e28c8da73

Observation ff756922-838f-41e2-938b-49e409959364 · outbound

This paper cites Learned lossless image com- pression based on bit plane slicing,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Learned lossless image com- pression based on bit plane slicing,

Reference 20

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Observation 9ab6b531-3607-4e2a-aa8f-6f904e613104 · outbound

This paper cites Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data

Reference 21

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local_arxiv, observed 2026-07-10T11:07:01.956758Z

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Observation 503a82be-c552-4f7d-b5ad-8c6178cf624e · outbound

This paper cites Lossless data compression by large models , volume =.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Lossless data compression by large models , volume =

Reference 22

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Observation cc8dedbd-6bb4-46af-8737-18f8c59902c0 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression LoRA: Low-rank adaptation of large language models

Reference 23

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Observation 88a6508f-b557-401e-b5c8-3e3c01da1289 · outbound

This paper cites Tokenizer Choice For LLM Training: Negligible or Crucial?.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Tokenizer Choice For LLM Training: Negligible or Crucial?

Reference 24

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local_arxiv, observed 2026-07-10T11:07:01.946496Z

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Observation fdc20b36-3037-4fb6-bd7e-90f9dd366305 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Prefix-tuning: Optimizing continuous prompts for generation,

Reference 25

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source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:da7b0ed227dc7f71e1c525eba5639232f08f0adb739598038bf0bf89dcad2ad8

Observation d82389ab-6687-4ab5-8479-805c3261e922 · outbound

This paper cites Available: https://aclanthology.org/2021.acl-long.353.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Available: https://aclanthology.org/2021.acl-long.353

Reference 26

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Source-reported events for the cited work

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Observation 059aa340-33a1-42ba-8188-daaa095e280b · outbound

This paper cites The power of scale for parameter-efficient prompt tuning,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression The power of scale for parameter-efficient prompt tuning,

Reference 27

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Observation ca106430-2b83-4a3c-818e-d63155562d44 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 28

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local_arxiv, observed 2026-07-10T11:07:01.952991Z

Source-reported events for the cited work

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Observation 6213b728-ec33-4fab-bbe8-0369ce0947c9 · outbound

This paper cites Bracs: A dataset for breast carcinoma subtyping in h&e histology images,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Bracs: A dataset for breast carcinoma subtyping in h&e histology images,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation df08cbbc-c87c-48f5-9178-112e3a0d7851 · outbound

This paper cites Bed4rs: Benchmark datasets for remote sensing im- age understanding,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Bed4rs: Benchmark datasets for remote sensing im- age understanding,

Reference 30

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source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:e02f1877f1ba78920e2f53fefc92662692c7ea34c99e5d227ed94b2011a973d1

Observation 814afa92-d2c2-4b34-8155-f59783b69524 · outbound

This paper cites The Llama 3 Herd of Models.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression The Llama 3 Herd of Models

Reference 31

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local_arxiv, observed 2026-07-10T11:07:01.937173Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:bfff4e312ae6b884018f2b4d3453c0ff4f4948f2c13a59c407d3a4676192efdf

Observation 63d38deb-7672-406f-8806-25b690b403a0 · outbound

This paper cites Qwen3 Technical Report.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Qwen3 Technical Report

Reference 32

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local_arxiv, observed 2026-07-10T11:07:01.953893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:887db40ebceb42c7a94718be46436a0a7c006eceb72f7aaa2926abaeb420c8d3

Observation b2be7651-c3f5-44d0-89e3-d5882afe9503 · outbound

This paper cites Gemma 3 Technical Report.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Gemma 3 Technical Report

Reference 33

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local_arxiv, observed 2026-07-10T11:07:01.940342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:9d6f2e37e4c726d73426b08167ebbb97f844bb0747b14d1e32420c7ad632a175

Observation 4d54d834-8c0f-4b2d-84f9-cbcf795c282c · outbound

This paper cites Neural network reprogrammability: A unified theme on model reprogramming, prompt tuning, and prompt instruction,.

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression Neural network reprogrammability: A unified theme on model reprogramming, prompt tuning, and prompt instruction,

Reference 34

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verified exact
arxiv_id, observed 2026-07-10T11:07:01.945210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T11:05:36.890801Z digest=sha256:f660d1ee707fe500846975fc132fc13ae97d238b2df640717fb277cfba52c9bc

Pith citing papers

No inbound Pith citation observations are available.