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Paper Citation Record · LEDGER

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2501.16961.

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

pith.paper-citation-record.v1
2501.16961 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:28:44.223677Z

measured 40 of 40 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:48:57.988181Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:35:21.271130Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27556a0a-8ef0-4795-82df-22ebb4b96e9f · outbound

This paper cites Teaching large language models to self-debug.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Teaching large language models to self-debug

Reference 1

Resolution
verified fuzzy
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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=2026-08-10T05:28:43.854560Z digest=sha256:acd94eaf505b48d98f128e9815f7c5851b9e9a3c2837b7fae8d6bc07e1273fdd

Observation 3854167b-7af1-42a2-a673-69654beb2ff5 · outbound

This paper cites Transformers as soft reasoners over language.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Transformers as soft reasoners over language

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.407371Z

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=2026-08-10T05:28:43.860492Z digest=sha256:24f8cf9059bff0e10de18ee871c39223f2c2db7316c360946fcf39369eb22a8c

Observation 4c346b80-90f7-4abd-a38b-0c23ffade053 · outbound

This paper cites Selection-inference: Exploiting large language models for interpretable logical reasoning.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Selection-inference: Exploiting large language models for interpretable logical reasoning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.393032Z

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=2026-08-10T05:28:43.865348Z digest=sha256:faefb2f4d0ceee1f723450728050b4746d78d58a188b9ea6f86e9887459e79ab

Observation 22b813fa-7a5d-44ea-8db3-4c04180f51c3 · outbound

This paper cites Z3: An efficient smt solver.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Z3: An efficient smt solver

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.379251Z

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=2026-08-10T05:28:43.870846Z digest=sha256:f3a4b11a1b7f0be74c2255261ff228d22dcbdbe8282c754a07ef1d4069cbe0fb

Observation 6d6952c6-58b9-4f0a-9931-4b6262058583 · outbound

This paper cites The lean theorem prover (system description).

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers The lean theorem prover (system description)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.364198Z

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=2026-08-10T05:28:43.876399Z digest=sha256:233eea7343efea232992d9ad4575f0b685a9e0742389fc1cab880baf973e7bc9

Observation 05137885-b319-4d45-9222-12f4c77f3c82 · outbound

This paper cites Leveraging pre-trained large language models to construct and utilize world models for model-based task planning.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Leveraging pre-trained large language models to construct and utilize world models for model-based task planning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.350000Z

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=2026-08-10T05:28:43.881613Z digest=sha256:f59b59cfc15cdaaa66711e7314a2ec59340be86cd7e7027154216589efa09df3

Observation 3836d74a-3c09-4881-b731-bb0060e423a9 · outbound

This paper cites FOLIO: Natural Language Reasoning with First-Order Logic.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers FOLIO: Natural Language Reasoning with First-Order Logic

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T05:28:43.886708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T05:28:43.886708Z digest=sha256:a4438abf288a8cc0fcb6feee02fabb7ba75bb732539c5af3aba92423a99a5c01

Observation 9916efd9-556e-4c19-b9c4-c4f239d30849 · outbound

This paper cites Solving math word problems by combining language models with symbolic solvers.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Solving math word problems by combining language models with symbolic solvers

Reference 8

Resolution
verified fuzzy
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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=2026-08-10T05:28:43.912449Z digest=sha256:53dc8eebdafd77fba6a0eb506fa42a27960e842f613afbb3322625d73826e888

Observation c1412074-4a59-43a5-a654-fb4d323bb53b · outbound

This paper cites Draft, sketch, and prove: Guiding formal theorem provers with informal proofs.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Draft, sketch, and prove: Guiding formal theorem provers with informal proofs

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.322636Z

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=2026-08-10T05:28:43.937219Z digest=sha256:48e73130253cdd375d5ab668ba1b93357e1055e191af0524594755919eac331c

Observation 8448d4c0-d9a1-4b3c-b6d1-5db56c7505a4 · outbound

This paper cites LLM-ARC: Enhancing LLMs with an Automated Reasoning Critic.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers LLM-ARC: Enhancing LLMs with an Automated Reasoning Critic

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T05:28:44.006852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T05:28:44.006852Z digest=sha256:091fc76876e4231d12127d69c70044162d7d038748fb57eb5515cbb657f3a351

Observation 62c3ab96-677a-4bbf-b7f6-6decde7ccfc3 · outbound

This paper cites Position: LLM s can t plan, but can help planning in LLM -modulo frameworks.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Position: LLM s can t plan, but can help planning in LLM -modulo frameworks

Reference 11

Resolution
verified fuzzy
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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=2026-08-10T05:28:44.042275Z digest=sha256:f05aa70bfa90bc9d04013cf8f69c92d9aec218d4296ff7564c94698e4563096f

Observation dd679d54-dd4f-48e8-b7b1-dcd15fc50c21 · outbound

This paper cites Decomposed prompting: A modular approach for solving complex tasks.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Decomposed prompting: A modular approach for solving complex tasks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.222454Z

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=2026-08-10T05:28:44.047422Z digest=sha256:2f279a0d053dca3e1f37979aaeb82db4ed987ab11cde43cb80b10e06f27e8e3c

Observation 55962807-0b40-446a-b240-e2a2b5092e2d · outbound

This paper cites Manning, Christopher Ré, Diana Acosta-Navas, Drew A.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Manning, Christopher Ré, Diana Acosta-Navas, Drew A

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.162571Z

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=2026-08-10T05:28:44.052254Z digest=sha256:bc54eb1a10c418accbaa8d50ea4b8e9e7a2c511b4ffa930970ae462778ae3c0c

Observation c1467e9d-159f-4dcb-9823-ce03a4785b1e · outbound

This paper cites Deductive verification of chain-of-thought reasoning.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Deductive verification of chain-of-thought reasoning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.148169Z

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=2026-08-10T05:28:44.056935Z digest=sha256:0a3c68dacafa916da1980a1526dbcc3975d44e764a56d2423387dd4dfa439e7f

Observation 47948052-3013-487c-9a8c-28d1b2459e01 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Self-refine: Iterative refinement with self-feedback

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.132705Z

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=2026-08-10T05:28:44.060878Z digest=sha256:aef4fe97994e1fc002480ca8c5025a0aa556dd00ec50dc17e9394bf74435b3ed

Observation 07f5d5b2-0071-4780-a7fe-7192746e4779 · outbound

This paper cites Selfcheck: Using LLM s to zero-shot check their own step-by-step reasoning.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Selfcheck: Using LLM s to zero-shot check their own step-by-step reasoning

Reference 16

Resolution
verified fuzzy
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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=2026-08-10T05:28:44.065112Z digest=sha256:cdf51a5fc3249e0d25cbe61a0bc788a7f70f77f727be87e6cbd2053d4185cb53

Observation c87aa734-f988-4a00-8e9c-77a186b706b4 · outbound

This paper cites Nye, Michael Henry Tessler, Joshua B.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Nye, Michael Henry Tessler, Joshua B

Reference 17

Resolution
verified fuzzy
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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=2026-08-10T05:28:44.069839Z digest=sha256:d15587ce120e92f7cbf9c1e0d79e9c8988b65d5eb0ccdc066528769d1e100f57

Observation 50ab73ac-2823-4e13-a085-ff4ab7766d6b · outbound

This paper cites Logic-lm: Empowering large language models with symbolic solvers for faithful logical reasoning.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Logic-lm: Empowering large language models with symbolic solvers for faithful logical reasoning

Reference 18

Resolution
verified fuzzy
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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=2026-08-10T05:28:44.073936Z digest=sha256:9c9d11830f2b001b100d7f52916faa09ae842e7ea0c0fc8d1f6b6a1be61ba047

Observation f03ddc14-0c50-44da-8fda-3fea0d81503f · outbound

This paper cites Isabelle: A Generic Theorem Prover , volume 828 of Lecture Notes in Computer Science.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Isabelle: A Generic Theorem Prover , volume 828 of Lecture Notes in Computer Science

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.067819Z

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=2026-08-10T05:28:44.079463Z digest=sha256:a1347065f3290f9b6504cd4daee876ac01ee2fac636cca0627cbb08a46980d5b

Observation ead1186d-8c74-4d60-9f42-341dad2fe575 · outbound

This paper cites Din-sql: decomposed in-context learning of text-to-sql with self-correction.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Din-sql: decomposed in-context learning of text-to-sql with self-correction

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.052205Z

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=2026-08-10T05:28:44.084372Z digest=sha256:e375c5d4c06b6a5c0b2e530d3816221449d392f010d1ccd19a96bee65dae0411

Observation 19d66630-6c5a-47d7-8090-4b9a31de12e4 · outbound

This paper cites Language models are greedy reasoners: A systematic formal analysis of chain-of-thought.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Language models are greedy reasoners: A systematic formal analysis of chain-of-thought

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:45.036447Z

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=2026-08-10T05:28:44.089314Z digest=sha256:6775997c8daa478a1f81edf2f68a159b1d5546ad2a1cdecb437b40f2168abd06

Observation 88046510-fa74-444f-bddf-d9c4e46204e8 · outbound

This paper cites Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.963366Z

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=2026-08-10T05:28:44.093838Z digest=sha256:9665e2feab2e1151bf8039c10c7f31e1407ca32a9147a7d1af7319c7d2f0ef52

Observation 4b3c743e-9ccd-492d-8a79-187deebabc74 · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.837717Z

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=2026-08-10T05:28:44.098069Z digest=sha256:b0645e720f7a7afc6fac72fbf217a9ea38e009ed68a5070976c86553d8d075cc

Observation 921e44c6-eaaa-4db6-9939-24a62357ad1e · outbound

This paper cites Proofwriter: Generating implications, proofs, and abductive statements over natural language.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Proofwriter: Generating implications, proofs, and abductive statements over natural language

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.724567Z

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=2026-08-10T05:28:44.102486Z digest=sha256:5ab45542dc5c8736a72702c53d9ae9089fa7eef14011678f7afaa5a6f3015fe3

Observation f91a58c0-c926-4099-8918-c41db501171b · outbound

This paper cites Entailer: Answering questions with faithful and truthful chains of reasoning.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Entailer: Answering questions with faithful and truthful chains of reasoning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.694588Z

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=2026-08-10T05:28:44.107253Z digest=sha256:6922e0e8951105a0def6547273a84b1dffe9ff00d67c46f6b5e0196342564d2f

Observation 421f91a0-9def-40e4-a1d1-2a146c5d7031 · outbound

This paper cites Can large language models really improve by self-critiquing their own plans? In NeurIPS 2023 Foundation Models for Decision Making Workshop , 2023.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Can large language models really improve by self-critiquing their own plans? In NeurIPS 2023 Foundation Models for Decision Making Workshop , 2023

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.679023Z

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=2026-08-10T05:28:44.112192Z digest=sha256:291fc0b5dedb49f59399cde78229299b67dda041b637b8811a5c2d106982c8da

Observation 9e7bfd9d-e88d-4042-83e6-bc81e4c3986d · outbound

This paper cites Le, Ed H.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Le, Ed H

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T05:28:44.117554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T05:28:44.117554Z digest=sha256:4c7e2c5e28d820376f10064a59b87d0438ba50cc442f48284243701fccde28b9

Observation 395f3e18-adaa-4c3e-9dfe-f32a9c00e70c · outbound

This paper cites Chi, Quoc V.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Chi, Quoc V

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.653062Z

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=2026-08-10T05:28:44.124160Z digest=sha256:327dd8365361a379163df7b9e25542b3c5818049f4c86547a63bde0dbe83e064

Observation 17dca0a7-665a-400c-8745-fcb66556e966 · outbound

This paper cites Large language models are better reasoners with self-verification.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Large language models are better reasoners with self-verification

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.638038Z

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=2026-08-10T05:28:44.128455Z digest=sha256:470c6a91bf5eaa5971e78dba31a97a7f6cddd32ec4afe1ef1dfbd3abaa1054c1

Observation 2692894d-fb6c-4d03-b2c6-f04b6e4d1844 · outbound

This paper cites Rabe, Charles Staats, Mateja Jamnik, and Christian Szegedy.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Rabe, Charles Staats, Mateja Jamnik, and Christian Szegedy

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.623025Z

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=2026-08-10T05:28:44.133295Z digest=sha256:e8308cada05fe494a7ece2dc458b2abdec0208e36bd417767023e5a90f850c14

Observation d29b39c4-03a7-47b3-813c-67ad8db7ae96 · outbound

This paper cites Self-evaluation guided beam search for reasoning.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Self-evaluation guided beam search for reasoning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.608579Z

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=2026-08-10T05:28:44.137758Z digest=sha256:eba426622127136006381170d3ba171eae25391605251d3c784012507640862b

Observation 01089a8d-8bc3-4862-9926-f81d8ea208f1 · outbound

This paper cites Generating natural language proofs with verifier-guided search.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Generating natural language proofs with verifier-guided search

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.592691Z

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=2026-08-10T05:28:44.142542Z digest=sha256:d86d5230ff3c57d1ab5f03012c402a9531789ce2399af6f02b7419f771f1e954

Observation 795a22fc-c369-413f-803b-64dfe43dc3eb · outbound

This paper cites Sat LM : Satisfiability-aided language models using declarative prompting.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Sat LM : Satisfiability-aided language models using declarative prompting

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.576174Z

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=2026-08-10T05:28:44.147349Z digest=sha256:b637360b2ba7091dc46d3923d41d9170c1a4a2480305fa8154b87ee7d22792dc

Observation b452cf51-c6ce-45a9-a5f2-7d6a70c75e67 · outbound

This paper cites Thought propagation: an analogical approach to complex reasoning with large language models.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Thought propagation: an analogical approach to complex reasoning with large language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.560515Z

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=2026-08-10T05:28:44.151986Z digest=sha256:6c15fa9a7272406c119851f271b2aa11ffe3428799f69ba726cdd14cb454c40f

Observation 54b753d4-e4e7-4c06-98ad-d66c14687665 · outbound

This paper cites Analytical reasoning of text.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Analytical reasoning of text

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.545088Z

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=2026-08-10T05:28:44.156532Z digest=sha256:2f78c2d033419286bc584fb06b92c7aeb9bcf5c736ada7d671d3c6f4551d7d55

Observation 21b537b5-e583-407d-bb30-1d5c7c05f0d7 · outbound

This paper cites Le, and Ed H.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Le, and Ed H

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.474628Z

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=2026-08-10T05:28:44.161694Z digest=sha256:34d2dfbc46e8eb5f5ce25cf0c3c7644342f117645be6727724ce794daecc126e

Observation bca8b6ec-6606-4300-b2b9-0c667f98e3b8 · outbound

This paper cites Ensemble Methods: Foundations and Algorithms.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers Ensemble Methods: Foundations and Algorithms

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:28:44.390073Z

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=2026-08-10T05:28:44.191204Z digest=sha256:3e2fae607877f3f95ca72ba1e38f712f6b54311897feb7c95844b4240a9250cb

Observation f18feb3d-afae-48b2-911b-455e32e85f89 · outbound

This paper cites write newline.

Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers write newline

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T05:28:44.223677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T05:28:44.223677Z digest=sha256:ce3339ffec5d37d661cb5aa25a4a74a605948201b4c8a8d969242bc6283912b1

Pith citing papers

Observation e663a350-2a2e-427f-844d-3cb1ba44e5c0 · inbound

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving cites this paper.

Step-Wise Formal Verification for LLM-Based Mathematical Problem Solving Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:48:57.988181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:48:57.988181Z digest=sha256:7ab05228cd211c582c24af6169795a84196252626d96ceb8dad773d0215050d1

Observation c1f2fb47-8d4b-46ee-8ca3-cbc3001b7a98 · inbound

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations cites this paper.

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations Instantiation-based Formalization of Logical Reasoning Tasks using Language Models and Logical Solvers

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:35:21.319763Z

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=2026-08-07T12:35:19.580682Z digest=sha256:8be5dc8f0ac2f15da6506521b2c8991a35462d7c250e79c5fc808b5d5e0fd155