Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:04:47.044235Z
Paper Citation Record · LEDGER
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:2605.25920.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:10:42.575529Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T18:11:28.051623Z
Reference resolution
19 of 19 outbound references displayed
- verified exact2
- verified fuzzy0
- unresolved14
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 193a4f38-f9dc-418d-a489-6f642894242a · outbound
This paper cites Legalδ: Enhancing legal reasoning in llms via reinforcement learning with chain-of-thought guided information gain.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Legalδ: Enhancing legal reasoning in llms via reinforcement learning with chain-of-thought guided information gain
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T22:14:00.359419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 09f45f7e-2fe8-4630-b71a-9bd5a814adca · outbound
This paper cites Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Songyang Zhang, Kai Chen, Zongwen Shen, and Jidong Ge.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Songyang Zhang, Kai Chen, Zongwen Shen, and Jidong Ge
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:14:00.365370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2ab5190a-7f3a-4fdf-a308-c312f2a8e6c6 · outbound
This paper cites LRAGE: Legal Retrieval Augmented Generation Evaluation Tool.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:14:00.362373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b36a8c1a-e9bd-4595-80b8-029f14fb3205 · outbound
This paper cites Qwen3 Technical Report.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Qwen3 Technical Report
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T22:14:00.367766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4bf34098-d542-457d-9032-ea46efde9337 · outbound
This paper cites LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
Reference 5
- Resolution
- malformed identifier
- arxiv_id, observed 2026-06-29T22:14:00.370449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 173019d4-33b5-4283-993d-bb378bbb95c3 · outbound
This paper cites an unresolved cited work.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2193ce8c-6040-4244-b05f-b541df178913 · outbound
This paper cites an unresolved cited work.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd0f1d24-7ae5-4570-bf6f-5360ddfdcc06 · outbound
This paper cites Tool Routing Rules.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Tool Routing Rules
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0bdadbe-efb1-4c02-b29e-24d4bbcaeca6 · outbound
This paper cites Article X.
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dd3068e-da8a-4c8e-8f26-24784aa90cb2 · outbound
This paper cites Figure 7: System prompt used during training and evaluation.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Figure 7: System prompt used during training and evaluation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a22c327-bd0b-4747-8bb8-985917b8dff1 · outbound
This paper cites an unresolved cited work.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Unresolved cited work
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e603c4ab-bac9-4bee-9af6-59454e2766e7 · outbound
This paper cites an unresolved cited work.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Unresolved cited work
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6de1b9b8-b75c-4da3-b31b-8fd527cc594d · outbound
This paper cites an unresolved cited work.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Unresolved cited work
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db195121-3434-49db-a978-99ae04b06396 · outbound
This paper cites 5.Scholarly interpretations, academic viewpoints, controversies, and expert opinionsshould all be extracted.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning 5.Scholarly interpretations, academic viewpoints, controversies, and expert opinionsshould all be extracted
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65e7d17a-d3f0-4fbe-a190-6d8271fb62cd · outbound
This paper cites 2024” → [.
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be39cf13-929f-4911-873a-f585f9468251 · outbound
This paper cites Article X.
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 858b9622-492c-4a06-aed9-a975a533e635 · outbound
This paper cites intentional homicide.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning intentional homicide
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fffec87c-373b-443f-986a-7219e6d8df26 · outbound
This paper cites an unresolved cited work.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Unresolved cited work
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9871d9a-770c-406a-af92-db03c46d755f · outbound
This paper cites name": "web_search.
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning name": "web_search
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T22:04:47.044235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 2646a657-42d2-4521-bbc8-9f7279738551 · inbound
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents cites this paper.
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:12:55.609877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e97d099-dca3-4b21-a432-d5deac563ed8 · inbound
Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law cites this paper.
Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:11:28.057574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.