Paper Citation Record · LEDGER

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs

As of 1 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2605.11856.

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

pith.paper-citation-record.v1
2605.11856 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:32:03.466222Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:47:31.725395Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T13:38:19.098461Z

Reference resolution

42 of 42 outbound references displayed

verified exact26
verified fuzzy16
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e4c205f-be54-4385-afe7-442d47abb0a9 · outbound

This paper cites Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T08:34:23.540456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation d0dedd2a-68cf-4a47-a1a3-37b8197b89c6 · outbound

This paper cites V*: Guided visual search as a core mechanism in multimodal llms.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs V*: Guided visual search as a core mechanism in multimodal llms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.748855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 70a06127-e3e8-49ae-9dad-b6a44a274cfc · outbound

This paper cites Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.764546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation c90818c4-39fd-4989-b189-fcdca557321d · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.752238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation a46a3294-d575-4971-983b-365af24137ea · outbound

This paper cites Mme-realworld: Could your multimodal LLM challenge high-resolution real-world scenarios that are difficult for humans? InICLR.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Mme-realworld: Could your multimodal LLM challenge high-resolution real-world scenarios that are difficult for humans? InICLR

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.728858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation fa674638-a829-47fe-889e-8a772044b1bd · outbound

This paper cites Smith, and Ranjay Krishna.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Smith, and Ranjay Krishna

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.745369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 7b3dd458-1509-4e74-8f23-263ef115effa · outbound

This paper cites Vtool-r1: Vlms learn to think with images via reinforcement learning on multimodal tool use.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Vtool-r1: Vlms learn to think with images via reinforcement learning on multimodal tool use

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.374623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 188e7e8a-7044-4727-ac5e-b9fa6597ddb4 · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.420726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 35e617ca-f4f6-43c7-a018-ee7baef37a02 · outbound

This paper cites Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:22:27.090901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 5f99935c-c814-4684-883d-47d9657b2ae0 · outbound

This paper cites Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.393294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 9aded464-3ad4-4290-9513-98cad20d3116 · outbound

This paper cites Latent Visual Reasoning.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Latent Visual Reasoning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:41:30.500607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 708d1a0c-3374-4dbe-834f-65601273b857 · outbound

This paper cites Monet: Reasoning in latent visual space beyond images and language.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Monet: Reasoning in latent visual space beyond images and language

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.387207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 0c1a9b78-3b78-444c-b17e-5a4bb08faa5a · outbound

This paper cites Sketch-in-latents: Eliciting unified reasoning in mllms.arXiv preprint arXiv:2512.16584.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Sketch-in-latents: Eliciting unified reasoning in mllms.arXiv preprint arXiv:2512.16584

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.309729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 78d87c49-8154-448c-8817-e8647146a4a3 · outbound

This paper cites Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Reasoning Within the Mind: Dynamic Multimodal Interleaving in Latent Space

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.443170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 72477733-2df0-4a69-8be5-372fadc98951 · outbound

This paper cites Chain-of-visual-thought: Teaching vlms to see and think better with continuous visual tokens.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Chain-of-visual-thought: Teaching vlms to see and think better with continuous visual tokens

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.321234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation da58669f-b94e-4167-81c6-8168cbfae508 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Training Large Language Models to Reason in a Continuous Latent Space

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.315676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation d1bb62b3-0fc0-489f-a284-00343f25ba29 · outbound

This paper cites Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.327633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation e35ead35-e169-48d5-bda4-5f564d0dfaed · outbound

This paper cites The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-08T02:03:55.088792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation e01bd607-1f63-4cb0-a68a-461c49279de7 · outbound

This paper cites Visualizing thought.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Visualizing thought

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.710078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation c020d510-63f3-47c0-971c-b970a9622734 · outbound

This paper cites MIT press.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs MIT press

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.714164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation ae4437ed-a8ee-40f5-bddb-ff61fc9a7353 · outbound

This paper cites DeepSeek-OCR: Contexts Optical Compression.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs DeepSeek-OCR: Contexts Optical Compression

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.448698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation dd9681af-dae1-4dcd-a15c-e18ebf63b01d · outbound

This paper cites Deepseek-ocr 2: Visual causal flow.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Deepseek-ocr 2: Visual causal flow

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.350855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation b8e1891c-c662-413a-96ae-15ede4279f62 · outbound

This paper cites Qwen2.5-VL Technical Report.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Qwen2.5-VL Technical Report

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.362335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 7c45dfc5-734a-47f1-b215-58d34ba55fc4 · outbound

This paper cites Qwen3-VL Technical Report.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Qwen3-VL Technical Report

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.398745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 19073b14-44b4-4473-bd2f-80103f7a1c60 · outbound

This paper cites Onelatent: Single-token compression for visual latent reasoning.CoRR, abs/2602.13738.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Onelatent: Single-token compression for visual latent reasoning.CoRR, abs/2602.13738

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.357250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation a4a6595e-2d3e-4a5b-83c2-bacef615f717 · outbound

This paper cites Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.303557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation ce2199f9-5350-4d7b-aaf3-e8bfac8a39c3 · outbound

This paper cites GPT-4o System Card.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs GPT-4o System Card

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.380375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation d97c809e-1c30-4871-9a3e-afda60a8cfa2 · outbound

This paper cites Token fusion: Bridging the gap between token pruning and token merging.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Token fusion: Bridging the gap between token pruning and token merging

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.717384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 2d9ec589-cfb8-4756-bf8c-b3f019891e01 · outbound

This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 729e7149-e502-4063-ad96-9c568b3a3011 · outbound

This paper cites Representation alignment for generation: Training diffusion transformers is easier than you think.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Representation alignment for generation: Training diffusion transformers is easier than you think

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.724247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 2d4cae9c-be33-475b-b9ad-9b15033c3085 · outbound

This paper cites Tamp: Token-adaptive layerwise pruning in multimodal large language models.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Tamp: Token-adaptive layerwise pruning in multimodal large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.720835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 8dc8993a-6458-4839-b7ee-4f59ac2fe259 · outbound

This paper cites Your large vision-language model only needs a few attention heads for visual grounding.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Your large vision-language model only needs a few attention heads for visual grounding

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.736427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 92a01683-c2ac-4333-97da-26c6d49c4f63 · outbound

This paper cites Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.732983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation f249090c-00d3-4db9-8b6d-37e4c327e92f · outbound

This paper cites Zebra-cot: A dataset for interleaved vision language reasoning.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Zebra-cot: A dataset for interleaved vision language reasoning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.333597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 59f6eab1-3774-490f-80d0-3adf561923e2 · outbound

This paper cites Towards vqa models that can read.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Towards vqa models that can read

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.769502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation e5426542-f55c-4b5d-a579-277c59fc8689 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.410502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 0866d340-7582-42bc-8547-3398a0513d59 · outbound

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

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Evaluating Object Hallucination in Large Vision-Language Models

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:32:29.404046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 76e35c7d-dd7a-4c35-842b-eb8a79b59493 · outbound

This paper cites We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:55:41.398838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation d09703d3-6e32-438f-9a3d-a83ae7aba2ef · outbound

This paper cites Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:32:29.437886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 0ac2d947-d46e-4000-82c8-b39ce1bf6c7c · outbound

This paper cites As outlined in Algorithm 1, the canvas width is constrained by a minimum threshold and the scaled auxiliary image.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs As outlined in Algorithm 1, the canvas width is constrained by a minimum threshold and the scaled auxiliary image

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.760221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation ee2cde56-338c-47f8-a770-801a626c7756 · outbound

This paper cites As detailed in Algorithm 2, the canvas has a fixed width but dynamic height.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs As detailed in Algorithm 2, the canvas has a fixed width but dynamic height

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.740309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 0aff2764-704c-4721-8767-5dd9fb13983d · outbound

This paper cites As described in Algorithm 3, the canvas dimensions are rigidly constrained (e.g., 1024×1024 ).

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs As described in Algorithm 3, the canvas dimensions are rigidly constrained (e.g., 1024×1024 )

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T07:32:30.756424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Pith citing papers

Observation 23770e47-94ca-4045-b471-e45bb3e7c596 · inbound

Language-Guided Abstraction for Visual Reasoning cites this paper.

Language-Guided Abstraction for Visual Reasoning UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-03T13:38:19.099762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.