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Paper Citation Record · LEDGER

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2506.18383.

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

pith.paper-citation-record.v1
2506.18383 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:54:30.311297Z

measured 25 of 25 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:29:43.379840Z

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

24 of 24 outbound references displayed

  • verified exact3
  • verified fuzzy5
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation dadb5a6b-b771-423a-9bd6-47e8cb55365c · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization KTO: Model Alignment as Prospect Theoretic Optimization

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:30.238507Z digest=sha256:484bbe2865c94a5e576b985a9158ab1f38458d13357ff33e5356bde3416d9dff

Observation d1e55af5-37c6-4633-bd00-ed29ba32111f · outbound

This paper cites The Llama 3 Herd of Models.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization The Llama 3 Herd of Models

Reference 6

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source=pdf_text observed=2026-08-15T18:54:30.242928Z digest=sha256:db813601a2d77854e4d9b74334c28f78dbf9928dbae80f015530e8ca0c00bc62

Observation a1adb26a-ab4c-4db6-b047-6a193a80b76c · outbound

This paper cites Mistral 7B.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Mistral 7B

Reference 7

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source=pdf_text observed=2026-08-15T18:54:30.247454Z digest=sha256:86a5ee23aea9302c3cee24b521ad008a3b88fa08345e5d47d8c5bc89b83207a5

Observation d44dadbf-3869-4b43-a7cb-d3ca64082543 · outbound

This paper cites Mistral 7B.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Mistral 7B

Reference 8

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no resolver link, observed 2026-08-15T18:54:30.251866Z

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source=pdf_text observed=2026-08-15T18:54:30.251866Z digest=sha256:8e3d4c3db8c1fec9b8d3184356adc827c64e981591b1cfee7db8c4cf9a47c62e

Observation 4fff75c4-67b7-4a1b-9649-f96579568790 · outbound

This paper cites an unresolved cited work.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-15T18:54:30.259880Z digest=sha256:e1462c1ae5da1c35c035136a903c3b28495ad40f9dc69aac7a3c225e0f29a98f

Observation 5fe2ce00-2a27-4bae-9a01-1d0a06521d34 · outbound

This paper cites URL https://doi.org/10.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization URL https://doi.org/10

Reference 11

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no resolver link, observed 2026-08-15T18:54:30.263650Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:54:30.263650Z digest=sha256:4fc2cbc277686ceddf051f3e8a3e4e247981dda99a6efac514414b497a9a2f56

Observation 116b68f0-51c2-494a-b27b-717dedb21ccd · outbound

This paper cites URL https://aclanthology.org/2022.coling-1.481.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization URL https://aclanthology.org/2022.coling-1.481

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:54:30.771646Z

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.

source=pdf_text observed=2026-08-15T18:54:30.267309Z digest=sha256:131857e0e3c3c67bdccf77769fad6f9d3db1508733a45f67818bc626be2accbe

Observation c7a55a19-c026-404d-9d44-1d2304ce5fb8 · outbound

This paper cites Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:30.271111Z digest=sha256:f73e0a2207701e78df729135b0e50b238610a4087130df147200bb276b5d7a2c

Observation 279e1922-afe4-40b7-8b91-e13b961a445c · outbound

This paper cites EMNLP-MAIN.313.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization EMNLP-MAIN.313

Reference 14

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source=pdf_text observed=2026-08-15T18:54:30.274494Z digest=sha256:cbeee14bda9666b5082d3a9ac9c81bda6b5286ac3fafd3e0cb95f6d4ac4cfa65

Observation aa19c657-3cc2-43e2-9dbf-76342822e65d · outbound

This paper cites URL https://doi.org/10.18653/v1/2023.findings-emnlp.248.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization URL https://doi.org/10.18653/v1/2023.findings-emnlp.248

Reference 15

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source=pdf_text observed=2026-08-15T18:54:30.277846Z digest=sha256:c132732a38e5fb0198104b63b6489629411bd0d031fd846e2edd6e2c0a30eb5a

Observation a23f518a-38dd-41a2-b984-523bde8d810d · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 16

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source=pdf_text observed=2026-08-15T18:54:30.281028Z digest=sha256:ada159b4f1106654f78a38998e94733f1b21fc58fb0636c4864faf5388b218c9

Observation 1c5ef0b2-a9a2-4a04-8f99-333eb9e9e9f9 · outbound

This paper cites Arpit Sharma, Nguyen Ha Vo, Somak Aditya, and Chitta Baral.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Arpit Sharma, Nguyen Ha Vo, Somak Aditya, and Chitta Baral

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:54:30.761066Z

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.

source=pdf_text observed=2026-08-15T18:54:30.284198Z digest=sha256:46b522bd175142784820c4478c0099520d418c869aa4313cbb6a1c996a66fd30

Observation 45c2e073-8186-490a-8be3-156fa420dcd0 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Gemma 2: Improving Open Language Models at a Practical Size

Reference 19

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source=pdf_text observed=2026-08-15T18:54:30.292666Z digest=sha256:5515278090640b5fa64b641e26a28c001d18860e87f87d9f5e7c874fdf27577b

Observation 7c295393-d544-4117-b08f-f2f06ceea373 · outbound

This paper cites Dick, and Anton van den Hengel.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Dick, and Anton van den Hengel

Reference 20

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raw_fallback, observed 2026-08-15T18:54:30.751268Z

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.

source=pdf_text observed=2026-08-15T18:54:30.296937Z digest=sha256:cac41584c252335938cdad7e8278d7c61c43568881c68547b9340c1df118cfb5

Observation cc649e5a-e970-4266-9a25-ebc4efd490b7 · outbound

This paper cites doi: 10.18653/v1/2024.acl-long.375.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization doi: 10.18653/v1/2024.acl-long.375

Reference 22

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no resolver link, observed 2026-08-15T18:54:30.303790Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:30.303790Z digest=sha256:e5c5420de8ac0559ec410c1e3d4053ea5cb14b5529eb04744c4e41451a685893

Observation e694105b-2f35-4e6c-a3bd-8e6dcdd9ce02 · outbound

This paper cites A Appendix A.1 Few-shot Baseline prompts For our baseline models, we evaluate off-the-shelf models in a few-shot setting.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization A Appendix A.1 Few-shot Baseline prompts For our baseline models, we evaluate off-the-shelf models in a few-shot setting

Reference 23

Resolution
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raw_fallback, observed 2026-08-15T18:54:30.740461Z

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.

source=pdf_text observed=2026-08-15T18:54:30.306936Z digest=sha256:69bbeda0f05859ee5cae1b13580440b16d3e893c07153f65fb69752506d0f612

Observation 28df8fef-cedd-4b41-bb5c-fa8d6aea2a9b · outbound

This paper cites As the process of ProverQA creation was quite different, the high improvement of the preference optimized models underlines the generalizability of our LOGICPO dataset.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization As the process of ProverQA creation was quite different, the high improvement of the preference optimized models underlines the generalizability of our LOGICPO dataset

Reference 24

Resolution
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raw_fallback, observed 2026-08-15T18:54:30.509357Z

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.

source=pdf_text observed=2026-08-15T18:54:30.311297Z digest=sha256:3c99dbfbb8da9a8c1d5e82b683fabaec3ea0ab100beffe6dd904a72118d86632

Observation 14965f1d-da49-497e-ad69-3101fca734b7 · outbound

This paper cites Open-source Frame Semantic Parsing.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Open-source Frame Semantic Parsing

Reference 2014

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no resolver link, observed 2026-08-15T18:54:30.226908Z

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source=pdf_text observed=2026-08-15T18:54:30.226908Z digest=sha256:1cee39d7880d93bfd659fdcb9b7a28e82e8dec0fde8e250cdaca1dd12a3cc8dd

Observation 5faba0a5-d42c-4577-92dc-215d74f5b921 · outbound

This paper cites URLhttps://doi.org/10.1109/CVPR.2016.500.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization URLhttps://doi.org/10.1109/CVPR.2016.500

Reference 2016

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verified exact
doi, observed 2026-08-15T18:54:30.343465Z

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.

source=pdf_text observed=2026-08-15T18:54:30.300599Z digest=sha256:1f43e5343fc1da555765ef52623a7a5211bd04a36cc7693805e42206549a05d2

Observation 18a51ac2-5c2b-44bd-ab19-e352b9ca3d43 · outbound

This paper cites URLhttp://www.vldb.org/pvldb/vol13/p1737-kim.pdf.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization URLhttp://www.vldb.org/pvldb/vol13/p1737-kim.pdf

Reference 2020

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no resolver link, observed 2026-08-15T18:54:30.255764Z

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source=pdf_text observed=2026-08-15T18:54:30.255764Z digest=sha256:af922c06a846675132ad159e3e687d6dd3877947f28c7c2de0c4dc6d6999fa42

Observation cf09980f-6237-433a-88f5-3cbbf8646f5d · outbound

This paper cites ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

Reference 2021

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source=pdf_text observed=2026-08-15T18:54:30.288031Z digest=sha256:647cc7762272a0e9c961084ffeca7275f991138cbea1c3e49143dfb2f59f9f95

Observation 6dea769a-f21b-4e49-bc38-a2992fe418f8 · outbound

This paper cites URLhttps://doi.org/10.24963/ijcai.2022/568.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization URLhttps://doi.org/10.24963/ijcai.2022/568

Reference 2022

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verified exact
doi, observed 2026-08-15T18:54:30.449203Z

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.

source=pdf_text observed=2026-08-15T18:54:30.234687Z digest=sha256:b07054ed2f06864ee7803b3ee76c9f3a3c96c0d28cb124d4aa5ac9f789e9c563

Observation 32b67e4b-166b-44bb-ae41-bdaf065842ec · outbound

This paper cites In- terpretable amr-based question decomposition for multi-hop question answering.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization In- terpretable amr-based question decomposition for multi-hop question answering

Reference 2023

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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.

source=pdf_text observed=2026-08-15T18:54:30.231078Z digest=sha256:56bf7214326751f3255e8543f0c759c073f560b908c6dbd88a05165ad11a16ea

Observation 1aa34efc-bc18-4840-a3e5-7baa54ad1cba · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:54:30.221905Z digest=sha256:570b0a8140c54746f119b0f23fd508811e5a0d448cdda9111f7cb3443a3ea127

Pith citing papers

Observation 07a3f812-afc9-416e-a7cf-f4b74ec55c0d · inbound

Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling cites this paper.

Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization

Reference 60

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arxiv_id, observed 2026-06-28T14:32:17.690321Z

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.

source=arxiv_source observed=2026-06-28T14:29:43.379840Z digest=sha256:bf310f8c9835d0ed2467aa67f565d658b651730c0c789b0dab26376d340bcd41