Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.17306.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:43:31.508571Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T06:11:49.618920Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3125a8e7-5f85-4aa4-b5f0-12d96b09c913 · inbound
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 175
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:11:49.620612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fc57fbf5-dd0d-4f2f-b7e5-f2439d25b8ec · inbound
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:51:06.479417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7af01e0a-c023-4038-90e9-ac3e09839277 · inbound
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability cites this paper.
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:43:31.508571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08957de5-5eaf-4ba8-a095-25b1d9cd9fc6 · inbound
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment cites this paper.
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:29:05.102114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dc423ee-3c08-4c77-8182-bfee253b9632 · inbound
Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing cites this paper.
Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:16:38.906618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca86b9f3-67f7-4281-9408-c936f7603346 · inbound
Unveiling Confirmation Bias in Chain-of-Thought Reasoning cites this paper.
Unveiling Confirmation Bias in Chain-of-Thought Reasoning Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:59:56.011837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0733760a-766f-4f50-879a-0ecc5fcf7849 · inbound
Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability cites this paper.
Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:01:29.062547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation de414963-30fd-4442-a43e-5a16d83233d4 · inbound
Is MoE Routing a Huffman Code? Discovering the Frequency-Diversity Law in Chain-of-Thought cites this paper.
Is MoE Routing a Huffman Code? Discovering the Frequency-Diversity Law in Chain-of-Thought Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:39:31.125273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed1aab7e-681f-4ae5-a243-7c29b2de7278 · inbound
AgentOmnia: Scaling Agentic Models for Full-Scenario Applications cites this paper.
AgentOmnia: Scaling Agentic Models for Full-Scenario Applications Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:38:23.547518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.