Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Abstraction-of-Thought Makes Language Models Better Reasoners
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.12442.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:12.446594Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:42:10.847282Z
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 6449fbd5-622d-4696-ad15-9f2f3c92a8dc · inbound
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective cites this paper.
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective Abstraction-of-Thought Makes Language Models Better Reasoners
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:20:23.660221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3dcde53-3d11-4363-9f3e-782351d1a388 · inbound
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models cites this paper.
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models Abstraction-of-Thought Makes Language Models Better Reasoners
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:29:00.528426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05f155ed-8ec1-4b02-a171-759534df1da0 · inbound
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Abstraction-of-Thought Makes Language Models Better Reasoners
Reference 191
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:42:10.850190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation edbfc5da-5e90-4342-82e0-d6c2050bed28 · inbound
Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience cites this paper.
Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience Abstraction-of-Thought Makes Language Models Better Reasoners
Reference 137
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:31:12.446594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6458aa0-cb15-4751-8e19-3a403b9895b4 · inbound
A Progressive Approach to Synthesizable RTL Design Generation Using LLMs cites this paper.
A Progressive Approach to Synthesizable RTL Design Generation Using LLMs Abstraction-of-Thought Makes Language Models Better Reasoners
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:14:09.511601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.