Paper Citation Record · LEDGER

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2305.14825.

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

pith.paper-citation-record.v1
2305.14825 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:02:51.846400Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a88c439c-5b91-4182-b907-b851b79da5e4 · inbound

Self-supervised Analogical Learning using Language Models cites this paper.

Self-supervised Analogical Learning using Language Models Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T17:02:51.846400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac10b2cc-a062-49f2-9826-2a7eeb29a336 · inbound

Shuttle Between the Instructions and the Parameters of Large Language Models cites this paper.

Shuttle Between the Instructions and the Parameters of Large Language Models Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T12:41:02.374470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac56103f-2833-4bf0-88fb-919aa3d21f56 · inbound

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection cites this paper.

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:04:40.621844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf09d5e3-9b9a-4115-8648-ff3120664943 · inbound

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building cites this paper.

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:09.578801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065c93eb-75d1-4fd3-b75f-094b352369ae · inbound

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs cites this paper.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:08.172414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe89a0c4-47dc-49ee-a142-9668930bf8ef · inbound

Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities cites this paper.

Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:16.402380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d356364-cca8-44a5-952a-e662e2c37094 · inbound

Lightweight Language Models are Prone to Reasoning Errors for Complex Computational Phenotyping Tasks cites this paper.

Lightweight Language Models are Prone to Reasoning Errors for Complex Computational Phenotyping Tasks Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:06:06.741394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3e9d90-9b56-4273-8936-73e2d17fa88e · inbound

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens cites this paper.

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:21:58.063928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73172593-dd7c-48d0-a5fc-2629512352e6 · inbound

Deep Learning in Classical and Quantum Physics cites this paper.

Deep Learning in Classical and Quantum Physics Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T20:23:57.854063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62dbf80c-ad67-481e-a897-8acb0f994243 · inbound

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction cites this paper.

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T19:12:38.869952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed8a10c-dc87-4bb9-9a20-c1303e3e29b7 · inbound

AlignCultura: Towards Culturally Aligned Large Language Models? cites this paper.

AlignCultura: Towards Culturally Aligned Large Language Models? Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:05.104332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e48a36e-2374-4eaf-84ea-05d44207ae3c · inbound

EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair cites this paper.

EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:41:15.003474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b640598-2165-407b-bd19-67974ec84b39 · inbound

On the Cost and Benefit of Chain of Thought: A Learning-Theoretic Perspective cites this paper.

On the Cost and Benefit of Chain of Thought: A Learning-Theoretic Perspective Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:13:58.696496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 380dc6c9-b71e-45c8-904b-b3b625128adf · inbound

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation cites this paper.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:33:45.492953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d9b9819-028d-47fe-a6da-05af11d4d9e6 · inbound

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation cites this paper.

What Does Chain-of-Thought Contribute at Probe Time? Evidence for Local Co-Occurrence Activation Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T13:08:41.379698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4515456-710c-4bc7-9ace-4211c0f8bc11 · inbound

A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs cites this paper.

A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T19:09:53.148943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.