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Paper Citation Record · LEDGER

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2505.16114.

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

pith.paper-citation-record.v1
2505.16114 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:34.858816Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:08:41.198061Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:30:55.958868Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8af759c-3067-42cd-ab7f-d8b35df9c5a2 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:37.835932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:33.618341Z digest=sha256:6d4b001473ea3c8a303c508c07e98ff407b9cb430aaa7335dd0ca3270dd9a39a

Observation 850bdf49-880b-4d67-b335-9fdf5ff1615d · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:37.566101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:33.708360Z digest=sha256:83ecc8cdd59d31853f8bee30e5c3c5f41c580535056174cd12cbf23c0d883b3a

Observation 3f553fb7-8e5c-4a31-a712-395c2a7dda6f · outbound

This paper cites Hitori” means “alone.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Hitori” means “alone

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:37.231076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:33.800428Z digest=sha256:8e3dd06a75c243a34b3b396f842710d110808ec9f0611b33c885bb9e5f974ef8

Observation dbaad073-1564-4c56-93fd-917cf621db01 · outbound

This paper cites eliminated.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language eliminated

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:36.477849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.154917Z digest=sha256:5b1f528ac311caae19f7211e1817c1aff1452abb12b96f28185a90e3547880d9

Observation 01ee3824-5dcf-489e-9cd3-0d9eae2c2c63 · outbound

This paper cites Decide whether a given action is legal in the initial state.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Decide whether a given action is legal in the initial state

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:35.029994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.858816Z digest=sha256:ea1d1416c5aaf6875dcd86a3785eac52c249e2bc6bea55d02f719dea7d5d7ef5

Observation 1ab5237a-f8f6-4bd4-8a6c-4bd0aa7f4d4f · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:37.018672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:33.857675Z digest=sha256:b4503f1e7b250673af48bcf63618212966fd2b5658d3aa6c7e9382b7d5d6d1e1

Observation 676ff5c7-463b-4158-8a4c-ecb085e68037 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:36.773968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:33.935733Z digest=sha256:eb5e3b8daf7af5803a4096a9fadf0be934593c4dea2bfa71db42cc3b5c1c1a34

Observation 6e4b770c-3f64-4bcb-9746-eec90f0d9a3f · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:36.631708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.054322Z digest=sha256:cb83fb9c6c81a3502d542d742a9353c0189386c60ef56543aead84cfa7c14cc1

Observation 46518d0e-e578-4ac1-b9f6-dc4b4b5b3a81 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:36.349341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.214081Z digest=sha256:a19b09b30dcb76987394e8c8177bc28a435491677bcd6d909e667e8e781ba060

Observation 0630e030-efb0-4683-b480-42c72fcde8a6 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:36.225389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.286758Z digest=sha256:30c5aaba48b935f946d7a8625bfec30467ac416070c64a6c5ddcfc95cada5361

Observation 6135417e-047a-4912-8ae8-b5cdbd608b0f · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:36.082246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.348566Z digest=sha256:8ea61478e5df59fc0f614f71aa9f126f345e5e03dcda9e501d63f143d9697329

Observation ca9f5332-0869-432d-bf0d-e73b8260c140 · outbound

This paper cites Figure 11 presents a question-answer pair of the Fillomino puzzle.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Figure 11 presents a question-answer pair of the Fillomino puzzle

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:35.934827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.443965Z digest=sha256:6ecd72526be5dccc7fc2399bceb284d7a0185a4e10ad229493666c13bcbe12d1

Observation c8f10e16-ba9b-44ea-a92f-949e92f0ba03 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:35.732690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.545584Z digest=sha256:2492f3ad95c785418ce8283a41aa8d15c2929ac7b6d3cf22ef4bba206f88baf4

Observation 638c7833-6982-4e0d-9547-44ac74beb701 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:35.580103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.628699Z digest=sha256:4fd7d209f6ff693354cc923ee5c87bb554df88ee026b38a842d662bc2f88f889

Observation fa2f9cd9-00d4-4589-8ab4-9e3d395442f6 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:35.416147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.698956Z digest=sha256:21ec0dafb1ab5fa479a8908cce318961f2adbb3931782639f872c6a45d0435d4

Observation eb329215-f4bf-44c6-8748-40368004f377 · outbound

This paper cites an unresolved cited work.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:09:35.223288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:34.791912Z digest=sha256:e86a909fa30195b97f67c3e135963740ac1aa303c2d493393d108b70238eaa64

Observation 99c4ac9b-08ef-4b1f-adcb-a49110c9dc59 · outbound

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

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language LLaMA: Open and Efficient Foundation Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:33.502289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:33.502289Z digest=sha256:d93ac470e83143e3d16719d5d6c104a5df16b80312450006ee4c57171d51195e

Observation 9472ff6d-3e5e-4682-87b4-eadcd4f7c1f0 · outbound

This paper cites Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V Le, and Ed H.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V Le, and Ed H

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:09:38.097493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:09:33.560749Z digest=sha256:9b7293d390b7f6ef50cea5e984e14992c5c21fd291167c3e9f5b2c11bb1319ee

Observation e5793fa4-d31e-44e1-93aa-a48b83e951d0 · outbound

This paper cites DeepSeek-V3 Technical Report.

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language DeepSeek-V3 Technical Report

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:33.448679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:33.448679Z digest=sha256:d2f3181c9a90bf9b85c49a88416c830e8a146d6324198c932816f5c4783cb0e7

Pith citing papers

Observation 1214942c-ecf5-45eb-8ecb-0b406473a2b1 · inbound

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data cites this paper.

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T18:08:41.198061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:08:41.198061Z digest=sha256:82dd890b4bbf161bf61ed60ddd45a45c216cf2fe8a41d74d9f0e2c33faf3a8a8

Observation 0e9167ce-6ebd-45c6-9b4e-965e1fac6b12 · inbound

Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning cites this paper.

Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T10:28:50.472815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:28:50.472815Z digest=sha256:117331de55dbfe85d4dcc2c5dbf9ca60821fb925f2b4ebc3af8e77a724d1a6b8

Observation 40641268-b43d-43fc-aa56-436eebee982d · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:55.961558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:19:42.892343Z digest=sha256:09ef7820231561a9dc7569eff0f7b313a0a49f00e2d8e7786d5f743b785daacf