Paper Citation Record · LEDGER

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks

As of 15 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2501.11599.

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

pith.paper-citation-record.v1
2501.11599 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:06:04.428749Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy2
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ffe8eec-db17-4988-855f-b4d728b330ac · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.363665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffb67f59-cfdd-4ec5-951f-5e3bef123c73 · outbound

This paper cites In Proceedings of the 2023 Confer- ence on Empirical Methods in Natural Language Process- ing, 13997–14009.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks In Proceedings of the 2023 Confer- ence on Empirical Methods in Natural Language Process- ing, 13997–14009

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:06:04.695550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 914fe335-8578-454e-9e08-5e45f291596e · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.383886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb222e7-3823-443e-ba77-6e957d89e387 · outbound

This paper cites Faithful Chain-of-Thought Reasoning.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Faithful Chain-of-Thought Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.393478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9b0de15-c807-4c14-9469-8af0234fc9da · outbound

This paper cites Evaluating the Deductive Competence of Large Language Models.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Evaluating the Deductive Competence of Large Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T18:06:04.554041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94d7a23f-624b-4f78-bc59-3b0ba49557da · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks LLaMA: Open and Efficient Foundation Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.402435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf01ff7-aee3-41a6-ac79-bc5f68bfd706 · outbound

This paper cites LEGO-Prover: Neural Theorem Proving with Growing Libraries.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks LEGO-Prover: Neural Theorem Proving with Growing Libraries

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.406446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef6d9b9-1e3b-4b29-9d7d-b65ce8966905 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.411244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5550a0-35e2-475f-8526-df9358eb6405 · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2023, 2347–2367.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks In Findings of the Association for Computational Linguistics: ACL 2023, 2347–2367

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:06:04.681887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 98678173-2b85-4c6a-ac05-d601850c1dda · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.419658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ebb7cb-cf28-45d7-abf0-0dddd7c308cd · outbound

This paper cites Natural Language Reasoning, A Survey.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Natural Language Reasoning, A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.423990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9c2dc09-e1f1-4fe4-a1cd-8408c6aea846 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Automatic Chain of Thought Prompting in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.428749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe60eedf-879e-41a3-a4be-37c80df734f3 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.368414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fb214e-a4a1-494a-b40d-ceb4e0402a69 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Towards Reasoning in Large Language Models: A Survey

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.388573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f5a527-0633-480e-b675-e6e199525355 · outbound

This paper cites Qwen Technical Report.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks Qwen Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.358519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a6b5af-4d9b-4ec7-8c9c-90751895dddf · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T18:06:04.373098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.