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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 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:33.618341Z digest=sha256:986bd9ad5196762023d288597bf1d7fa3a90ab84b734a68fa53109b88aefd6fc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:33.708360Z digest=sha256:3c4e6b71360a47e83209cce1abe6a2da710dc221237ae7ee0bb3e661ca2dcf47

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:33.800428Z digest=sha256:05f61f4d2954fc5d79af0e8e5661f39bf909d262c64674499fcde2dc61999046

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.154917Z digest=sha256:e9c38fdf8bdca9788f295d9399c368854301c4a3b87040db684f7e282c81ff86

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.858816Z digest=sha256:416cab1c096160839e6c984c7655fa09461fe76720c06ec40133dc551314cd9c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:33.857675Z digest=sha256:b63efce0a5bbd294deeda35996d393a121b1247eafb5b8f4a7a72ba6fa66a061

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:33.935733Z digest=sha256:f6f43c6b0cb3cd806a2cdfeaefa664558a854195eecbfcbd0c5abb984beb62eb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.054322Z digest=sha256:49ca966a13fe1b6b85c185b73128c3d4c730c6b4c996d327f2520d2b2e829923

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.214081Z digest=sha256:54ffefa49b658bec2f5b82ad69cdc4e015fcb427cea955993b4de7ef487c42d2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.286758Z digest=sha256:026c428119864ecdf5008731cc8fa6864743e1ef6311b561810e211d9b3db238

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.348566Z digest=sha256:440f67014317291bdb21a723d68f4f11f3b6953258fec62bdf6ac69090f8e4a9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.443965Z digest=sha256:c2b54e3e27d1022a51af05c1c896c2acddd9c8c7c37bf731e1349214c16f05b1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.545584Z digest=sha256:12246d275246b231a9f148438da2dd269b6de77446e16c2178786f1343c7bf32

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.628699Z digest=sha256:b7fd4ccba338d177093efe46df6b8f13a7462f289c0de18a3dca602e9ecc0565

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.698956Z digest=sha256:e3805f4a1b1e7e2b98bbdaaae824518c3cefff21b121209b55bf660e9092ea52

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:34.791912Z digest=sha256:c75f2babdd2aef4fa2690dcf5f2281c084809fb4e04dc7dfd430d3d415069231

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:09:33.560749Z digest=sha256:550b0999d6343ff8079e5767763fc26b67fdcbf7dc61c1897c9af4d3a6a4de2e

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:c99a66f17028140fa093dc0f10f924f4608d6ce03f2d8c7649da2f048e34ae1a

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=sha256:68697979bcb22654c8188f983ec3d8bb382fc7fe1a41e2879a1e39688f0b22b8

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=sha256:325f12952f4167045dbaa4f32ef77dbe9801b88d4cd0dde7b643efdb5786187e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:19:42.892343Z digest=sha256:ca80716401d7b2d8c635db789cf19276ecb6a7937a131958a0bbe75019398a24