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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:58:20.813158Z

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 e4f93b30-4aca-4738-9615-b8ac6fe46d95 · inbound

Inductive Linguistic Reasoning with Large Language Models cites this paper.

Inductive Linguistic Reasoning with Large Language Models Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T19:58:20.813158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:58:20.813158Z digest=sha256:01ea32a2275d6b445118b474afa5097eeaca9069e6f4d08f3ee62c716bb96191

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.

source=arxiv_source observed=2026-08-09T17:02:51.846400Z digest=sha256:5d1e666fbf7cdc97e4044ffbf3919f8a9c416b72c593ab51bb4737a6a812f03e

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.

source=pdf_text observed=2026-08-09T12:41:02.374470Z digest=sha256:0f8feb0abf6a251e8939f2cf28d29f21ccee780500ad0fe79cdea25ddfe53358

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.

source=pdf_text observed=2026-08-07T15:04:40.621844Z digest=sha256:46dc48959ea00cd82e8f293c87fc7a655af1297b78c8c534d288a3d25904d347

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.

source=pdf_text observed=2026-08-07T13:46:09.578801Z digest=sha256:379dabf6faff8f901a3847df76a8a9d422a5f67b1d721ebbeb634830958ea817

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.

source=arxiv_source observed=2026-08-07T12:44:08.172414Z digest=sha256:cf40046911943cbebf7a5be23552d7c5419669b47fc1ae63e4c283b3d435ecf4

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.

source=pdf_text observed=2026-08-07T04:47:16.402380Z digest=sha256:f0f8b78209603d653bd0e5b691fc46fb905ee83415e3e3b516870a8a4803a59c

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.

source=pdf_text observed=2026-08-06T11:06:06.741394Z digest=sha256:0404d92a50e0324e511e3e689cd555445e6cdccf5d625cfac686b835405828ed

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T01:18:31.661827Z digest=sha256:4ca5edae151c57274c0b0d5ae8694435398d76abb498630b97dd7ea0061a5126

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.

source=pdf_text observed=2026-08-05T20:23:57.854063Z digest=sha256:44b2175cef0e61feb107584ad4e38846b418e33e3f11fd180ff3e07f9d0d19f7

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.

source=arxiv_source observed=2026-08-05T19:12:38.869952Z digest=sha256:d54acf11b947ef20d6db724744e348fc7758743507e9e0853d1e8ad3f5f198cf

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T02:36:36.854805Z digest=sha256:4a7c7148423ee4b0d1912a0c080fdf4c8eea6fffc86fea32a8ff33e6d76c15c1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T01:39:32.316491Z digest=sha256:147eb7516b32413eb2ea2e62c4111768e5a5214f8ec0e74c77291fff39aa8dbf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:09:37.588841Z digest=sha256:5434e5d46e4732a0ddb51f24b1c5062bee38417bb34611c6a60a4c3a3edc9c9b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T17:24:32.401230Z digest=sha256:ca7ec4ff035d8b7f9517f26b72765987040e660b0881f00de81bb557313f8254

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.

source=pdf_text observed=2026-08-02T13:08:41.379698Z digest=sha256:ed1dbacc87af5d1e2f96cdd0eb78e4dfa2ebe01976e64c5be5919298e7d22368

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.

source=pdf_text observed=2026-08-01T19:09:53.148943Z digest=sha256:8949e06d5317818928176518c96dbdff8e7c7bc4811560560011cc584bb15156