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Paper Citation Record · LEDGER

Logical Reasoning in Large Language Models: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2502.09100.

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

pith.paper-citation-record.v1
2502.09100 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:35:58.452874Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:49:46.348394Z

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 e5e6db67-813f-4bd4-adbf-a3e06e0a7701 · inbound

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs cites this paper.

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs Logical Reasoning in Large Language Models: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:58.452874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:35:58.452874Z digest=sha256:1a5dd831ad91bb699e9c913b1007ccdf4005e135504889d5725e3645fc671051

Observation e2b20e15-00a1-4698-bfd0-95a6354a65c2 · inbound

ARGUS: Hallucination and Omission Evaluation in Video-LLMs cites this paper.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Logical Reasoning in Large Language Models: A Survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:39.710210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:39.710210Z digest=sha256:71b4aac82c5916e19650fe2b887cea01393fe22fe8526765fee58b1066da85ed

Observation bf096a3d-ac9d-45e2-9be7-52d992820e24 · inbound

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons cites this paper.

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons Logical Reasoning in Large Language Models: A Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:53.280834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:53.280834Z digest=sha256:7fc36798de3aac7e7d7846d7e24081e784f2e52e17ae41a92f0ae92852233348

Observation cbe3ef51-352d-42b3-a4b6-c5210b269c19 · inbound

DAFMSVC: One-Shot Singing Voice Conversion with Dual Attention Mechanism and Flow Matching cites this paper.

DAFMSVC: One-Shot Singing Voice Conversion with Dual Attention Mechanism and Flow Matching Logical Reasoning in Large Language Models: A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T23:03:10.463706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:03:10.463706Z digest=sha256:1074a3cc9065dd5dfcbcfbea837a34736a9eec39af027606e888d9822dbbd553

Observation 43b559e0-6cdb-41b1-a5b9-da4e9554cd8d · inbound

Deductive Logic in Language Models: Horizontal vs Vertical Reasoning cites this paper.

Deductive Logic in Language Models: Horizontal vs Vertical Reasoning Logical Reasoning in Large Language Models: A Survey

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T10:40:25.530522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:40:25.530522Z digest=sha256:45497e2530e0916ad13b7aead3d6effd4ceeda6ad2908399be847843f10615c3

Observation cba36266-727e-488b-8934-93c5567cfb89 · inbound

Reasoning Primitives in Hybrid and Non-Hybrid LLMs: Do Architectural Differences Yield Advantages in State-Tracking and Recall? cites this paper.

Reasoning Primitives in Hybrid and Non-Hybrid LLMs: Do Architectural Differences Yield Advantages in State-Tracking and Recall? Logical Reasoning in Large Language Models: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:16.007942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T22:15:18.366486Z digest=sha256:bd0bd7b3d2161b04f02cf14859f57fcfb38a1f3d0642194403f9830d9214ddae

Observation 785f00b1-e33a-48be-a0b0-e8b12565985e · inbound

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction cites this paper.

Frozen LLMs as Map-Aware Spatio-Temporal Reasoners for Vehicle Trajectory Prediction Logical Reasoning in Large Language Models: A Survey

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:31:06.305428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:42:10.217380Z digest=sha256:e72d447519218bbb184e7a26ed52f39e17e1127269fe8349b2c50a4ef4e13b7e

Observation fe9acc41-1007-426c-9a69-f0f8e2b99d5b · inbound

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models cites this paper.

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models Logical Reasoning in Large Language Models: A Survey

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:51:28.984303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-07T08:57:05.520335Z digest=sha256:665ddace12ee48241b1a47e4867c056068ae1c41a4802a4efd9e8cb9eba97af4

Observation a144cc3b-b740-484b-9e30-8f6111caced6 · inbound

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking cites this paper.

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking Logical Reasoning in Large Language Models: A Survey

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:01:13.446899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T18:56:46.692954Z digest=sha256:db431f6ef3f92b905f58dfcf311869567ea5da83f85c88723d450ce407c3b491

Observation 0138a289-32b9-41a6-8e4b-d26a4262718c · inbound

Text Analytics Evaluation Framework: A Case Study on LLMs and Social Media cites this paper.

Text Analytics Evaluation Framework: A Case Study on LLMs and Social Media Logical Reasoning in Large Language Models: A Survey

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:53:57.754653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T04:52:44.897900Z digest=sha256:8058a2056e4ce698f26ae083682de3ac59e1d31a0b094a79bdfd8a7ec445622f

Observation 0861c2b2-c57f-41cf-97e8-175838c2a939 · inbound

A Neuro-Symbolic Approach to Strategy Synthesis for Strategic Logics cites this paper.

A Neuro-Symbolic Approach to Strategy Synthesis for Strategic Logics Logical Reasoning in Large Language Models: A Survey

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:39:03.823290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T21:57:56.104751Z digest=sha256:6486da903e86c960f77bf96020ea3e6b2df914239de1d760d33939d7b706a321

Observation cd3727d0-7dad-4376-8627-165eb3fed3cf · inbound

HOLMES: Evaluating Higher-Order Logical Reasoning in LLMs cites this paper.

HOLMES: Evaluating Higher-Order Logical Reasoning in LLMs Logical Reasoning in Large Language Models: A Survey

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:49:46.350551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T08:27:29.468354Z digest=sha256:482364ddf9529d6f69395ad8c26ab7cb94b136f1927d746cffd9604bd382be90

Observation 53ba11ca-ecaa-4680-8339-ab6d754344de · inbound

Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies cites this paper.

Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies Logical Reasoning in Large Language Models: A Survey

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:04:27.977342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T08:03:23.581020Z digest=sha256:ebf9d2b0cf6f8bdf2fe7948cc85207f8ccdabec80bbeae9a4a8dc1bac4fdfd19