Paper Citation Record · LEDGER

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2511.07457.

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

pith.paper-citation-record.v1
2511.07457 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:37:58.835144Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T10:30:01.910920Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:31:25.435426Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy0
unresolved50
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2bd3065-4683-437a-a370-0ffdd5c8bb05 · outbound

This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:54.445297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d054dfe-4067-49f9-b9b2-e3491a7dc6bc · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:54.520829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7bf8b84-eb64-4176-9878-707fb214ca00 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:54.587511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe1561e-ffb8-4e58-8fd5-1c03d3a5109c · outbound

This paper cites Text-to-LoRA: Instant Transformer Adaption.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Text-to-LoRA: Instant Transformer Adaption

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:54.737812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a49a4ef-a855-4000-85c1-d2976a3bd890 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:54.863930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae9d81f-534f-492e-b26a-0873b9d8721d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.024897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ffe49ee-03e3-46b7-9b01-be25406d92d4 · outbound

This paper cites Convolutional 2D Knowledge Graph Embeddings.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Convolutional 2D Knowledge Graph Embeddings

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.102169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e2f424-c418-4164-b404-e325eedfbafa · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.234330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation effb1f1b-ba34-4ba1-acec-4bce5c1895eb · outbound

This paper cites TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.267414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f47b5b3e-a033-4147-b7b4-6856ba3d3e81 · outbound

This paper cites The Llama 3 Herd of Models.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.348598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fcd525b-c867-4c8c-a1ae-f4d39d81da09 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.409883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa79d5a-41ca-4725-b8e4-8656224bfcdf · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.469035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a6fbc3-a9e4-4f1f-b221-f8983b60575a · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.512466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da00aa21-262f-426c-9057-6b950f8e21c8 · outbound

This paper cites UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.544673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac2b9c89-7a9a-4520-9c0c-f3aa95355148 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.660056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f4ef8c9-538e-45d5-bb2c-312edaa27af2 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.739113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42066ade-384c-47b9-8751-ce8c20c55ca3 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.827173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9887878f-c8d3-4d38-a31c-23a444c099d5 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.910557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef4e293-29ca-496e-8ecd-99a0ac550be9 · outbound

This paper cites PaperQA: Retrieval-Augmented Generative Agent for Scientific Research.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.971449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f752db-17f2-4e95-926c-278145a1b04a · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.021239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcdb275d-cf57-4990-8ee7-1c2f8fae8ed3 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.075841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be6d3829-1fdd-4ec3-b4dd-ef257e49c71f · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.155500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59df3133-c469-445f-b1f7-a388d64ab850 · outbound

This paper cites Are Large Language Models In-Context Graph Learners?.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Are Large Language Models In-Context Graph Learners?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.167724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b34b31-3263-46ca-b621-ea1a5bae1a01 · outbound

This paper cites LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.282671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7982fea4-6ef3-4c71-b4b3-9f8e407b86d5 · outbound

This paper cites DeepSeek-V3 Technical Report.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models DeepSeek-V3 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.415882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc1bf3ed-cc6c-439b-b17f-ff82c3c8f39b · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.504668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c654e0-79f7-482b-80e9-e5832f4dd48e · outbound

This paper cites Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.580729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24f55a2-ba63-4e50-bdd5-620d050f8b72 · outbound

This paper cites LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.701093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 562ff556-7284-4536-8472-384b99f859d7 · outbound

This paper cites GPT-4 Technical Report.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models GPT-4 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.795855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 765c1873-ffac-4dc5-af28-c753c87bcc87 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.904733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a119f3bf-caf9-4d5a-b73d-0f01af0b564c · outbound

This paper cites A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models A Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:56.987730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dfc4dff-ef1d-4c24-a6e4-8c00c57c220e · outbound

This paper cites CoDEx: A Comprehensive Knowledge Graph Completion Benchmark.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:57.145621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2418ae4a-8ac0-41e1-8505-2b83fd498168 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:57.368494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae7d71c4-e515-4e96-86a7-446eba686b9e · outbound

This paper cites Model merging with SVD to tie the Knots.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Model merging with SVD to tie the Knots

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:57.489217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c6ead3c-d3d2-4bdc-a18e-ae9c164a4560 · outbound

This paper cites Parametric Retrieval Augmented Generation.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Parametric Retrieval Augmented Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:57.601173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a001a04-8f2b-4e93-82ac-6eea4dc30e8a · outbound

This paper cites Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:57.741918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f2dc2c8-19aa-4a53-bc02-e08bb21d8eb7 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:57.848285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6136ddce-a010-42f6-836a-60d22e2c44ee · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:57.920508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8885888-f749-4fc0-8596-27c06e96d018 · outbound

This paper cites Model Generalization on Text Attribute Graphs: Principles with Large Language Models.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Model Generalization on Text Attribute Graphs: Principles with Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.012767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b37f74b-8458-4ea6-bf7d-be9e2d2cc8bb · outbound

This paper cites With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.111327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0dca63-800b-4d98-8fff-ef4dc3354e99 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.199808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e1900ed-b78f-481b-8639-378ae05494bf · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.290184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16562c46-087b-4972-8263-5ad3112da8fb · outbound

This paper cites Qwen2 Technical Report.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Qwen2 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.381913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92b102d-b40b-4045-95c6-dae83cf13a73 · outbound

This paper cites an unresolved cited work.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.460813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826e047c-889e-430a-aeb6-0955aac5a369 · outbound

This paper cites GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.571567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6e0f14-50ff-4113-a7ac-9cb7c6339de9 · outbound

This paper cites A green apple is on the table at position (5, 10).

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models A green apple is on the table at position (5, 10)

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.667542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bc91c8-3c1b-45c0-8dcd-66b145327075 · outbound

This paper cites Two sample questions must differ in at least one di- mension: Interrogative, Format, Focus.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models Two sample questions must differ in at least one di- mension: Interrogative, Format, Focus

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.741727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfda891c-309e-4b63-8c47-7186f8e43959 · outbound

This paper cites how many.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models how many

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.835144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3460a2-315e-4135-b7db-f1f8ca6f0e8e · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.781717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf38ab22-7413-4ba5-bff7-2ffd3a8be792 · outbound

This paper cites InInternational Conference on Machine Learning.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models InInternational Conference on Machine Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:54.908843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 71736143-233a-4944-8fb7-2d52e6c61029 · inbound

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models cites this paper.

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-21T02:21:25.107561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.