Paper Citation Record · LEDGER

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 11 inbound Pith citation observations for arXiv:2505.13508.

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

pith.paper-citation-record.v1
2505.13508 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:00:13.131378Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:47:53.635173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:49.137814Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy9
unresolved38
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 541b6fb5-2b1b-4d2c-b7f3-204a9fcda167 · outbound

This paper cites Attention is all you need.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Attention is all you need

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.928398Z

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Observation 82c48ca0-2a6a-4485-b730-9a8ea7de2a3a · outbound

This paper cites Language models are few-shot learners.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Language models are few-shot learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.933743Z

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Observation 100aab19-2b90-47a7-b38c-278044493438 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.938753Z

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Observation 678faa0b-1548-43f3-ba7b-a663094c0c93 · outbound

This paper cites TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.943458Z

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Observation 48775e8e-64ce-4c76-89f1-ba03e1aa568a · outbound

This paper cites Back to the future: Towards explainable temporal reasoning with large language models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Back to the future: Towards explainable temporal reasoning with large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.977294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca930a1b-c6c3-4b3c-8c2f-83d8ad64e970 · outbound

This paper cites Temporally Consistent Factuality Probing for Large Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Temporally Consistent Factuality Probing for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.952337Z

Source-reported events for the cited work

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Observation dbd58c9b-c27c-4c4c-ae12-c17d98f5a2b7 · outbound

This paper cites Temporal Reasoning on Implicit Events from Distant Supervision.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Temporal Reasoning on Implicit Events from Distant Supervision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.957476Z

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Observation f9ce5e70-06e1-40e0-9a86-17d551f4ebb7 · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Understanding world or predicting future? a comprehensive survey of world models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.962203Z

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Observation 879354ea-6539-4f0b-a08c-1245e1e26a18 · outbound

This paper cites Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.966197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5217a890-4d71-4776-a89f-8fa55096f3f4 · outbound

This paper cites Updating large language models’ memories with time constraints.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Updating large language models’ memories with time constraints

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.962519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79411cf3-4265-4871-9d07-52709ff6c903 · outbound

This paper cites Time is Encoded in the Weights of Finetuned Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Time is Encoded in the Weights of Finetuned Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.974660Z

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Observation a087e2c0-daf2-4e08-8585-dbdf1c0fbb47 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.978797Z

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Observation 935dd5ea-e933-436a-8f2d-3b5e6f8dfb88 · outbound

This paper cites Set the Clock: Temporal Alignment of Pretrained Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Set the Clock: Temporal Alignment of Pretrained Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.982883Z

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Observation 8e04c7e8-c33c-462e-ac40-78d81ade1149 · outbound

This paper cites Timo: Towards Better Temporal Reasoning for Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Timo: Towards Better Temporal Reasoning for Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.986986Z

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Observation 2db60997-2245-47fd-9a49-a4b8c96aa9f6 · outbound

This paper cites Large Language Models Can Learn Temporal Reasoning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Large Language Models Can Learn Temporal Reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.991134Z

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Observation 99b6672c-1d1d-42a3-96cf-f9ccac851663 · outbound

This paper cites OpenAI o1 System Card.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs OpenAI o1 System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:12.996236Z

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Observation 22c2f923-6abc-4842-a198-0849d6b4cc12 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.000709Z

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Observation 734a4c76-95c6-4feb-9188-9194e4bfdf19 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Proximal Policy Optimization Algorithms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.004744Z

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Observation c247b230-ba03-43d3-83a3-676d018cc55b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.009107Z

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Observation c98d068c-bcc7-47d4-98a6-dd41c5c9e12f · outbound

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

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.013470Z

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Observation 834d0a16-be28-49c9-9a90-0caec02b7324 · outbound

This paper cites A short case study on understanding the capabilities of gpt for temporal reasoning tasks.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs A short case study on understanding the capabilities of gpt for temporal reasoning tasks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.949322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bff247f7-c43d-4688-937c-d08d6604905c · outbound

This paper cites Training language models to follow instructions with human feedback.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Training language models to follow instructions with human feedback

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.021684Z

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Observation 938d7233-3f3d-4ae3-99a9-1b26ec8903b4 · outbound

This paper cites A survey of reinforcement learning from human feedback.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs A survey of reinforcement learning from human feedback

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.025686Z

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Observation fa50217f-3f01-41e7-8ef2-546968e88bd5 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Direct preference optimization: Your language model is secretly a reward model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.029546Z

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Observation 20dcfbee-dbcb-4fd7-a74e-76ff455a13ae · outbound

This paper cites Simpo: Simple preference optimization with a reference-free reward.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Simpo: Simple preference optimization with a reference-free reward

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.033404Z

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Observation 2c58efed-1890-486e-9bd4-2fd13055fd61 · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.037459Z

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Observation 75dd5e7a-8de6-4853-966e-8d5a6749f373 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Simple statistical gradient-following algorithms for connectionist reinforce- ment learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.042334Z

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Observation b0ecde92-f9f0-4df0-8491-7d4b14f5246c · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.046791Z

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Observation e25e3906-a0f2-41e2-ad96-4c3d23e0384a · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.051072Z

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Observation 9e92c742-e749-4d1d-a3ff-2ce99a73e761 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.055653Z

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Observation b2062e6d-11ff-4ab5-bf6d-f0fe946c1bf1 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs ToRL: Scaling Tool-Integrated RL

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.059774Z

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Observation 37ce5786-f04d-47f9-9986-3d2428f8f06f · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs ToolRL: Reward is All Tool Learning Needs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.063960Z

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Observation 2176b5b1-805a-40a0-b4a9-0ec5e11bde11 · outbound

This paper cites Acting Less is Reasoning More! Teaching Model to Act Efficiently.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Acting Less is Reasoning More! Teaching Model to Act Efficiently

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.068493Z

Source-reported events for the cited work

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Observation 62319ab8-f55f-40e7-aca5-60f4d4fccdbe · outbound

This paper cites Rm-r1: Reward modeling as reasoning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Rm-r1: Reward modeling as reasoning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.072922Z

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Observation 3f3c2ca3-43d9-4532-a35d-4e4bcd35e6ea · outbound

This paper cites Reinforcement learning: An introduction, volume 1.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Reinforcement learning: An introduction, volume 1

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.077093Z

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Observation 3eaefdd2-c07d-4024-a559-9ceae1df6870 · outbound

This paper cites Archive api.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Archive api

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.890596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f33743b8-5b0f-454c-bf7b-631e73dc0ed7 · outbound

This paper cites Timeml: Robust specification of event and temporal expressions in text.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Timeml: Robust specification of event and temporal expressions in text

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.875552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09aea473-f900-4233-b8ea-0d5b6ee436f5 · outbound

This paper cites Enriching timebank: Towards a more precise annotation of temporal relations in a text.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Enriching timebank: Towards a more precise annotation of temporal relations in a text

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.861834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 965d07d4-1389-4458-ae76-846a995b30eb · outbound

This paper cites Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning

Reference 39

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Observation cb7f3e44-cdd2-4d5c-a1bd-e4cd74d1f7ba · outbound

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Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.848158Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff8ae166-930f-4e8b-90c0-9a9a777bf9f9 · outbound

This paper cites Performance of 4 pre-trained sentence transformer models in the semantic query of a systematic review dataset on peri-implantitis.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Performance of 4 pre-trained sentence transformer models in the semantic query of a systematic review dataset on peri-implantitis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.834492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d30da0a3-b4aa-4e69-955e-b5208bf8d827 · outbound

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Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Qwen2.5 Technical Report

Reference 42

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Observation f4315409-dd62-4b03-b174-515a360dd0ca · outbound

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Time-R1: Towards Comprehensive Temporal Reasoning in LLMs The Llama 3 Herd of Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.108549Z

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Time-R1: Towards Comprehensive Temporal Reasoning in LLMs DeepSeek-V3 Technical Report

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:13.112712Z

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Observation 96e4f6a5-ea4e-46fe-ba89-744f554d0836 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs HybridFlow: A Flexible and Efficient RLHF Framework

Reference 45

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Time-R1: Towards Comprehensive Temporal Reasoning in LLMs Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 46

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Observation e32142e5-e94d-4aea-93ab-165f263c8941 · outbound

This paper cites How well do Large Language Models perform in Arithmetic tasks?.

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs How well do Large Language Models perform in Arithmetic tasks?

Reference 47

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Observation f9fad574-90c1-4c87-a127-bc547095b7a7 · outbound

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Time-R1: Towards Comprehensive Temporal Reasoning in LLMs every four years

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:00:13.819610Z

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Pith citing papers

Observation b3b7a993-388b-4473-bbb2-ac1b8c2be770 · inbound

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data cites this paper.

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 44

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Self-Aligned Reward: Towards Effective and Efficient Reasoners cites this paper.

Self-Aligned Reward: Towards Effective and Efficient Reasoners Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 27

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NeMo: Needle in a Montage for Video-Language Understanding cites this paper.

NeMo: Needle in a Montage for Video-Language Understanding Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 40

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Observation aaa00cd6-5240-4417-bc9d-7c8c7cb1ee0b · inbound

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection cites this paper.

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T03:12:06.372058Z

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Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs cites this paper.

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:01.497920Z

Source-reported events for the cited work

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Observation a4067175-b618-44f7-b6b5-505a4cc3eec4 · inbound

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs cites this paper.

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 30

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Observation 67369dd0-ffe6-482d-9450-7b623277c354 · inbound

Evaluating Temporal Consistency in Multi-Turn Language Models cites this paper.

Evaluating Temporal Consistency in Multi-Turn Language Models Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:12.948453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2aa2c1b5-f1eb-4b78-8bfb-790b96f0ea52 · inbound

OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking cites this paper.

OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:16.866553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88377007-8272-4ce7-be2c-7c38aa848f2d · inbound

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search cites this paper.

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:49.139704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd587128-9dee-4641-812e-8d0a53abd11f · inbound

Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding cites this paper.

Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T19:34:49.358453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52719cf2-9811-4163-9e29-f0c614db0851 · inbound

Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding cites this paper.

Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T08:43:34.967740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.