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Paper Citation Record · LEDGER

A Dual-Perspective Metaphor Detection Framework Using Large Language Models

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2412.17332.

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

pith.paper-citation-record.v1
2412.17332 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:38:33.994979Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:39.289294Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:47:42.279159Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29f3e327-47da-4029-9fce-73432477573a · outbound

This paper cites Lakoff and M.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Lakoff and M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:35.046011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.402304Z digest=sha256:d810219c0c53c74bf9c5a41ca0a8d406afe0c6b2ca54325f9e62e7317afa9076

Observation 327d6e6d-6e02-4c19-8011-3015ac01748e · outbound

This paper cites Openness in metaphorical and straight- forward advertisements: Appreciation effects,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Openness in metaphorical and straight- forward advertisements: Appreciation effects,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:35.030253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.445528Z digest=sha256:a6c359ab46345eb2cd58a18f91950a4f0a41ad49f478ef28b0bebe95fc49be9c

Observation 62f328a0-8d30-4a56-bbfe-3d844f95beef · outbound

This paper cites Mip: A method for identifying metaphorically used words in discourse,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Mip: A method for identifying metaphorically used words in discourse,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:35.012662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.489217Z digest=sha256:7bda9697e2f914ca8b9ad3ef3757c43ec4f4d55a78886130d1f67627507f9b3c

Observation 3b891b76-42b4-41b8-afbd-5c644f807b5a · outbound

This paper cites an unresolved cited work.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:38:34.996450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.539229Z digest=sha256:ebd27d3eee7d1a7f6436ed7fe2fcdb423d800a1659870c9514ec6f347c6a4418

Observation 21c53b59-c4ba-4ad2-9b3d-af17b6af4cd8 · outbound

This paper cites Detecting novel metaphor using selectional preference information,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Detecting novel metaphor using selectional preference information,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.979388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.545061Z digest=sha256:680e8ab0652fc8185170c800e872ce86da412544305ed243a14330c1be932749

Observation fbd51346-4c1a-4407-8874-7a2a43f091ca · outbound

This paper cites A preferential, pattern-seeking, semantics for natural language inference,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A preferential, pattern-seeking, semantics for natural language inference,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.887820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.551376Z digest=sha256:6577792eb60caea5b02a5d99db86ecfc3b34979c09ec471641a43997b3824a82

Observation 87ae85ab-8bbe-4d65-a3cb-50c87b2c82be · outbound

This paper cites Making preferences more active,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Making preferences more active,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.794043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.557567Z digest=sha256:7f0142f100679bebae0668434ef5245eb77d0aeaff06ef4f4290ddb8b09ad962

Observation dc42797c-cf4f-4ccd-95bc-4670636fc094 · outbound

This paper cites MelBERT: Metaphor detection via contextualized late interaction using metaphor- ical identification theories,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models MelBERT: Metaphor detection via contextualized late interaction using metaphor- ical identification theories,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.775915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.562822Z digest=sha256:6f16c9c8fbc819d26bb375e910842343b22f6862df58484afdb275e49561614f

Observation 60ec3f93-a17f-43d6-82da-e6d7f70ada7c · outbound

This paper cites Metaphor detection via linguistics enhanced siamese network,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Metaphor detection via linguistics enhanced siamese network,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.758039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.569318Z digest=sha256:e6c15c97489e32946f83e5acb1a4b5c14f43fe00b619279096836083a6f25da9

Observation a53886b3-bee9-44c8-a041-1c5c0c5a7efa · outbound

This paper cites Metaphor detection with context enhancement and curriculum learning,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Metaphor detection with context enhancement and curriculum learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.741084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.574359Z digest=sha256:cbffcfac2f8f4e5db551e5ddaf04948d90f425bfd71288833fb850c7eac9a972

Observation 400960e1-9cc4-4043-b235-0e32fa1afab5 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.580531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.580531Z digest=sha256:e435df613c93783107eb30b551a40c37636106ef088e407446953c2e9f09ece9

Observation 14215a58-5f51-45ca-9d52-4a0f63c9955d · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Self-consistency improves chain of thought reasoning in language models,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.616872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.616872Z digest=sha256:21e921b4e12399a277e5c23719979c7e4535dd1956ffd73d044ea4b9fea3fc24

Observation 7f18372e-f2bc-45cc-9df9-8fb5758a4eab · outbound

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

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Self-refine: Iterative refinement with self-feedback,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.696141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.661537Z digest=sha256:e37132af63f2194b3a81932a02897722254e504769d53a4a866033f57e567563

Observation 9f38592a-351b-4ad6-b117-b65c9b685158 · outbound

This paper cites Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.677984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.687083Z digest=sha256:b192f99083ac559bfa143a2a3ab2fe3103d395f60320c34b077b324b29c7ada7

Observation cdd64862-c9bf-4ab8-965f-4c47e2e6b413 · outbound

This paper cites Least-to-most prompting enables complex reasoning in large language models,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Least-to-most prompting enables complex reasoning in large language models,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.659085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.692597Z digest=sha256:14dadfe5f06de29fc15a0a726b4cb8506c233ca1b917a0c43a13784ee89a9611

Observation 96644f01-0c1a-40ad-a450-13f414ffd572 · outbound

This paper cites Neural simile recognition with cyclic multitask learning and local attention,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Neural simile recognition with cyclic multitask learning and local attention,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.640005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.698877Z digest=sha256:34c9dbd4ed2593db0e1ca71dcb9107e821675802852c70e2e749f78153b2b5e9

Observation d38724b2-e8b8-4089-91bc-2869ddd2779a · outbound

This paper cites Getting the most out of simile recognition,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Getting the most out of simile recognition,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.595015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.704628Z digest=sha256:f8486a0168ed4b830d355610e1468186e9a2b5f92a88e4073fc3a27740261ad3

Observation ce9a8943-cc6a-4f84-8ab4-1b71f8aa46f4 · outbound

This paper cites GPT-4 Technical Report.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models GPT-4 Technical Report

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.710288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.710288Z digest=sha256:7f2acb1004450d9fc34262b1b1bfae8377ccf859302527d25731b65d706014d7

Observation 1ce828a0-fbce-4819-a2e2-68dde371286a · outbound

This paper cites A brief overview of chatgpt: The history, status quo and potential future development,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A brief overview of chatgpt: The history, status quo and potential future development,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.541914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.716103Z digest=sha256:a0c665663ac938608e20bf880fb5d337a15da4ba4c876a6801d88f6e56864ccf

Observation 285ed00e-6317-4001-a218-1aaadf5b7944 · outbound

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

A Dual-Perspective Metaphor Detection Framework Using Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.722038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.722038Z digest=sha256:64490551cc843e11a8483fd448319dee1d31bbc241722321e7a9cbde4e3400ad

Observation 592f728c-3de5-4b7c-95fd-dbd3692f0202 · outbound

This paper cites A theory guided scaffolding instruction framework for llm-enabled metaphor reasoning,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A theory guided scaffolding instruction framework for llm-enabled metaphor reasoning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.509390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.727890Z digest=sha256:09c008cc2ad026ea4f6c4980e725b4fb010e41691ae936d12ff893acc30a1377

Observation 30d28b90-1843-483a-a9bf-87ba11be5996 · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.491295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.734055Z digest=sha256:c6ee21816091588490c1484d916c49e60d88dec44922bdfdbe6f8f7a9b6b7491

Observation 19ff7c56-cd9d-453a-9e76-90f4af0dcd5f · outbound

This paper cites A robustly optimized BERT pre-training approach with post-training,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A robustly optimized BERT pre-training approach with post-training,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.473053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.740547Z digest=sha256:de36e0fd519bb7239b50d11d6d9dbf0c3b771975257b4b4b5fb293b2222ed0f9

Observation a30c181f-8e7c-43b8-8c74-04045430f63c · outbound

This paper cites Enhancing Metaphor Detection through Soft Labels and Target Word Prediction.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Enhancing Metaphor Detection through Soft Labels and Target Word Prediction

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:38:34.194013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.746036Z digest=sha256:f18d65b9208bd4952274019ac2784425a484059724871abb323c3a3e8886cb8f

Observation 192e3e35-eedb-495e-876c-045fd16c0ce8 · outbound

This paper cites A Survey on In-context Learning.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A Survey on In-context Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.752504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.752504Z digest=sha256:6116e23aeaba88141948577957ef3d0119f557c91259646c6e354996526e65af

Observation bcda1b2c-df90-44b7-b9b4-50e46a1ff62f · outbound

This paper cites A report on the 2018 vua metaphor detection shared task,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A report on the 2018 vua metaphor detection shared task,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.454100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.764764Z digest=sha256:67ac04eace4016e1b89ecf2840ff8ce952d1beed3a4a2c9c52f4d69e8aced832

Observation dfeae484-d183-40c9-aa56-ea78346857c6 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.771276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.771276Z digest=sha256:f4bec49bdec496f35ebd85ba11fe229fe8765c8c01ad55e839df62121e0c9315

Observation 503f2518-cf8d-42ad-82d6-2dbd7068b80a · outbound

This paper cites Metaphor as a medium for emotion: An empirical study,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Metaphor as a medium for emotion: An empirical study,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.419995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.777984Z digest=sha256:8134cc26bdd184f2481f3e3abe358213a8bf274fc474fd65e496bf3dc08e0df2

Observation a43264dc-385e-47d1-9e7c-8dd2553098e5 · outbound

This paper cites Wordnet: a lexical database for english,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Wordnet: a lexical database for english,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.795797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.795797Z digest=sha256:9c78662fbc0547fbe1b70cc29553d53edf51113bfe3e90c03f9c2827737eed4b

Observation 74eeddd3-1e11-4325-8e87-ada0ca0694fc · outbound

This paper cites A clustering approach for nearly unsupervised recognition of nonliteral language,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A clustering approach for nearly unsupervised recognition of nonliteral language,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.388526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.845072Z digest=sha256:cc4048a7b5c9c7708dbefc43a01dfb6b902b0fc9c9222d87058b15cd83c99790

Observation 91b32be6-cb8c-4e13-816c-54f605437904 · outbound

This paper cites Adversarial multi-task learning for end-to-end metaphor detection,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Adversarial multi-task learning for end-to-end metaphor detection,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.335798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.897607Z digest=sha256:01e273a8ced10d82fb63bcd695160072b44d48277a115ba14c7a49d2d471dfb5

Observation 653895ed-72c9-451c-b47a-bc501e2f5a7c · outbound

This paper cites A survey of zero-shot learning: Settings, methods, and applications,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models A survey of zero-shot learning: Settings, methods, and applications,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:38:34.261614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T05:38:33.972612Z digest=sha256:926f6f3de62fc90b9402c96871113958dc9c00d5faef8014824e35991682d2f0

Observation 25d3e602-1eeb-40bd-87bc-7a4dd3c80c82 · outbound

This paper cites Language mod- els are few-shot learners,.

A Dual-Perspective Metaphor Detection Framework Using Large Language Models Language mod- els are few-shot learners,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:33.994979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:33.994979Z digest=sha256:03bb8e7fc49357ea9069ba2bcedc48d28303d8c9ff2c9baf65169e38532c8f32

Pith citing papers

Observation 8e25940a-cdde-42b8-ac96-9bdba8c3bf4c · inbound

CoMet: Metaphor-Driven Covert Communication for Multi-Agent Language Games cites this paper.

CoMet: Metaphor-Driven Covert Communication for Multi-Agent Language Games A Dual-Perspective Metaphor Detection Framework Using Large Language Models

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:47:42.362407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T14:47:39.289294Z digest=sha256:34beb0ddbf30a6f2e9629b2a658ffa53656dc34f577e4d515d566e4c68b76c81